Observation Collection List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
GET /api/v3/observationcollections/?format=api&offset=700
{ "count": 948, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=800", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=600", "results": [ { "ob_id": 30439, "uuid": "43d161e307794749a45a097187f93269", "short_code": "coll", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NASA-GISS, GISS-E2-2-G", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38847, "uuid": "8e53ed44c9954476a273c6d1cf89174f", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30831, "uuid": "e6b3056edaf94b6ca04f973cc1fc4081", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30437, "uuid": "26f7b01d855e4ad9b28754a0f01610d5", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: Amon, CFday, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33892, "uuid": "91bc1a0fd98f443fbfd46f36e948fcb8", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p3f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30834, "uuid": "250fe8307e9a4e5ea15c445f804719e1", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Eday, LImon, Lmon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30828, "uuid": "962f2b2f236e4545b2ea0addbd821c27", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-G model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 131686, 131687, 131681, 131682, 131683, 131684, 131685, 131679, 131680 ], "onlineresource_set": [ 37661, 37662, 49106 ], "project_set": [ 28606 ] }, { "ob_id": 30480, "uuid": "f586565d92fa4f63b663187f9cb22a2c", "short_code": "coll", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, TaiESM1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38796, "uuid": "925125d579df4da3a77025d61971b250", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, CFmon, Emon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33568, "uuid": "fb05ae34088c4298bb7e16e349f0318e", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33550, "uuid": "dcf6310e7b3149a7becc77367bdcf795", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt-2xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt doubling of CO2\" (abrupt-2xCO2) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33556, "uuid": "c914686e006d4985add3539fa165112e", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip-future4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP with patterned 4K SST increase\" (amip-future4K) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34431, "uuid": "49982e76507b46018a2316d24eaaced9", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 6hrLev, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33565, "uuid": "1697dd4080844083b92263457a62b981", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33684, "uuid": "acbc93656f8e4bf8927a97189142b618", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33571, "uuid": "4f01ce00d8144060b1f101b875e42f5b", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34428, "uuid": "f57664c3040940aabd396f0c741acdeb", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33574, "uuid": "c4ee171ca72241bf9342df0373afa419", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34434, "uuid": "b324ba0f6555439fbff7c96efaea9b9b", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, LImon, Lmon, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30482, "uuid": "027b10354fde47f5bf7bc7894c93c29a", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34437, "uuid": "c2db2f5795954c4ebc68b12b48985cb9", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 39922, "uuid": "52235c515e45499fa0af13803ab3e862", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip-piForcing\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP SSTs with pre-industrial anthropogenic and natural forcing\" (amip-piForcing) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33547, "uuid": "07ce90e78c784f36ae17049abc95a268", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt-0p5xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"abrupt halving of CO2\" (abrupt-0p5xCO2) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33562, "uuid": "f60233abdcfa432ca3906fa1f5abfe5f", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP with uniform 4K SST increase\" (amip-p4K) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33559, "uuid": "f22b181c54584ee2966cc62e44c6d15e", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip-m4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP with uniform 4K SST decrease\" (amip-m4K) experiment. These are available at the following frequencies: AERmon, Amon and Emon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30478, "uuid": "b7da96d0296e48bcaac821138f702339", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr and Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33577, "uuid": "ca3ef62c0f0f41b5b2d3d8abbea90271", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33553, "uuid": "8acd0a5a7d7d4b328ebeff70b7e16ac3", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"amip-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"AMIP SSTs with 4xCO2\" (amip-4xCO2) experiment. These are available at the following frequencies: AERmon and Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30485, "uuid": "61a2e2387cd44487af1d452797d83b43", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Emon, LImon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30488, "uuid": "1fd4bbdf163849c6beaf90ee986c57a5", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Research Center for Environmental Changes (AS-RCEC) TaiESM1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 6hrPlevPt, AERmon, Amon, Emon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 131888, 131890, 131891, 131892, 131893, 131894, 131895, 131896, 131889 ], "onlineresource_set": [ 37782, 37783, 49137 ], "project_set": [ 30477 ] }, { "ob_id": 30507, "uuid": "f06c6aa727404ca788ee3dd0515ea61a", "short_code": "coll", "title": "ICECAPS-ACE: Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit, Greenland - Aerosol Cloud Experiment measurements", "abstract": "This dataset collection contains in situ atmospheric and aerosol measurements collected at Summit Station, Greenland.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project. Since 2010, the ICECAPS project has been monitoring cloud-atmosphere-energy interactions at Summit Station, in the centre of the Greenland Ice Sheet (GrIS), using a comprehensive suite of ground-based remote sensing instruments and twice daily radiosonde profiles. In 2018, the Aerosol Cloud Experiment (ACE) expansion of ICECAPS saw the addition of a new series of instruments to measure surface aerosol concentrations and turbulent heat fluxes over the ice sheet. Combined with the original ICECAPS instrumentation, the ACE instruments allow for the study of cloud-aerosol-energy interactions over the central GrIS.\r\n\r\nThis dataset collection contains the measurements collected as part of the ACE component of ICECAPS-ACE, which includes the following:\r\n1) Surface-temperature-profile: A near surface temperature profile from four temperature/ humidity sensors distributed on the 15 m tower at Summit.\r\n2) Surface-moisture-profile: A near surface moisture profile from four temperature/ humidity sensors distributed on the 15 m tower at Summit.\r\n3) Surface-winds-profile: A near surface wind profile from four sonic anemometers distributed on the 15 m tower at Summit.\r\n4) Snow-height: The distance to the snow surface from the lowest level of instruments on the 15 m tower at Summit, detected by a sonic-ranging sensor.\r\n5) Skin-temperature: The brightness temperature of the snow surface as detected by an infrared radiation thermometer.\r\n6) Aerosol-concentration: The concentration of condensation nuclei (> 5nm diameter) measured at the surface using a Condensation Particle Counter.\r\n7) Aerosol-size-distribution: The size-resolved concentration of surface aerosol particles between 0.25 and 6.5 um in diameter measured using an Optical Particle Counter.\r\n8) Flux-components: High resolution temperature, humidity and wind fluctuations that can be used to estimate turbulent fluxes using eddy covariance, located at two levels on the 15 m tower at Summit.\r\n9) Flux-estimates: Estimates of turbulent heat and momentum fluxes by applying the eddy covariance technique to flux-components.\r\n\r\nOther ICECAPS data are available here:\r\nhttps://psl.noaa.gov/arctic/observatories/summit/\r\n\r\nFrom August 2022 to August 2025, these measurements were supported by the ICECAPS-MELT project (Measurements along a Transect).", "keywords": "ICECAPS-ACE, aerosol, boundary layer, sensible heat flux, latent heat flux, turbulence, temperature, wind, snow height, snow surface temperature", "publicationState": "published", "dataPublishedTime": "2020-07-03T10:32:43", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 236 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30508, "uuid": "b371dc175e1844bc8db9b0cda5997c23", "short_code": "ob", "title": "ICECAPS-ACE: surface aerosol size distribution (0.25 to 6.5 um diameter) taken at Summit Station Greenland", "abstract": "This dataset contains surface aerosol size distribution (0.25 to 6.5 μm diameter) measured on the roof of the Summit Station Greenland using a GRIMM SKYOPC 1.129 Optical Particle Counter. Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 40004, "uuid": "0ad1068f45724169afbe541b2525e81c", "short_code": "ob", "title": "ICECAPS-ACE: MIXCRA retrievals of fog properties at Summit Station, Greenland", "abstract": "This dataset contains retrievals of bulk fog particle phase and effective radius generated using the mixed-phase cloud property retrieval algorithm (MIXCRA), during twelve case studies of supercooled radiation fog at Summit Station in central Greenland.\r\n\r\nMIXCRA uses optimal estimation to retrieve fog microphysical properties at 5-min intervals from downwelling spectral longwave radiation measured by an Atmospheric emitted radiance interferometer (AERI).\r\nThese data and retrievals were generated as part of the ICECAPS-ACE project (The Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit:\r\nerosol Cloud Experiment).\r\nSee linked references for more information about the implementation of MIXCRA, the AERI measurements and complementary datasets." }, { "ob_id": 30516, "uuid": "73279426609c405d92da0e9c328c6ebf", "short_code": "ob", "title": "ICECAPS-ACE: surface moisture profile taken at Summit Station Greenland", "abstract": "This dataset contains near-surface moisture profiles from four temperature/humidity sensors measured on the 15m tower at Summit Station Greenland. Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 30500, "uuid": "f56980457ce240ccab5ac6d403c81e7a", "short_code": "ob", "title": "ICECAPS-ACE: surface aerosol concentration measurements (condensation nuclei > 5nm diameter) taken at Summit Station Greenland", "abstract": "This dataset contains concentrations of condensation nuclei (> 5 nm diameter) measured at the surface at the Summit Station Greenland using a GRIMM 5.4 Condensation Particle Counter (CPC). Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project." }, { "ob_id": 30519, "uuid": "9abfaf34903e4da7bb2f546855414ea8", "short_code": "ob", "title": "ICECAPS-ACE: snow height change taken at Summit Station Greenland", "abstract": "This dataset contains the distance to the snow surface from the lowest level of instruments on the 15 m tower at Summit Station, Greenland, detected by a sonic-ranging sensor. Data are collected every 10 minutes and concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 30512, "uuid": "4ecb0d6ce0ca4032b79dc80e52d374eb", "short_code": "ob", "title": "ICECAPS-ACE: surface snow surface brightness temperature taken at Summit Station Greenland", "abstract": "This dataset contains surface snow surface brightness temperature measured on the roof of the Summit Station Greenland detected by an infrared radiation thermometer (KT15 Infrared Temperature Sensor). Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 41176, "uuid": "254dc2c0601e48e39e4fe46fc95822bc", "short_code": "ob", "title": "ICECAPS-ACE: present weather taken at Summit Station Greenland", "abstract": "This dataset contains horizontal optical range and present weather codes at Summit Station, Greenland. Measurements were made using Biral SWS-100 visibility and present weather sensor.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT.\r\n\r\nFor these observations hood and window heaters were on continuously and the sensor receiver head was oriented due North." }, { "ob_id": 41085, "uuid": "6db2c027914d4f23bd42409e7aaad3b1", "short_code": "ob", "title": "ICECAPS-ACE: snow-air transition temperatures taken at Summit Station Greenland", "abstract": "This dataset contains point measurement of snow-air transition temperatures at 2 cm intervals on a 5 m thermistor chain installed spanning the snow-air transition at Summit Station, Greenland. Measurements were made using a Snow Ice Mass Balance Apparatus (SIMBA) with a bespoke 5 m chain.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 30523, "uuid": "a5624d91ac244dbbbbc63a8cead8ba31", "short_code": "ob", "title": "ICECAPS-ACE: surface temperature profiles taken at Summit Station Greenland", "abstract": "This dataset contains the near-surface temperature profile from four temperature/ humidity sensors distributed on the 15 m tower at Summit Station, Greenland, detected by four Vaisala HMP155 Temperature/Relative Humidity sensors with a heated probe. Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 31765, "uuid": "886ded7814b4432ba6530d51dfcf4c0d", "short_code": "ob", "title": "ICECAPS-ACE: surface turbulent heat flux components", "abstract": "This dataset contains high resolution measurements of temperature, humidity and wind fluctuations from Summit Station, Greenland. These measurements and derived quantities can be used to estimate turbulent fluxes using eddy covariance. The data are collected at 10 Hz resolution and statistical properties have been calculated over both 15-minute and 30-minute flux averaging intervals (separate files).\r\n\r\nThe measurements are located at two levels on the 15 m tower:\r\n- ace-flux-1 are the lower level (~2 m above surface) measurements, from a Metek uSonic-3 scientific 3D sonic anemometer and Licor Li-7500 gas analyzer.\r\n- ace-flux-2 are the higher level measurements (~14 m above surface), from a Metek uSonic-3 scientific 3D sonic anemometer only (no humidity measurements).\r\n\r\nAlso see the ICECAPS-ACE: surface turbulent heat flux estimates data product for estimations of latent and sensible heat flux calculated from these components.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 30525, "uuid": "c725c6ea1cd84c8792b677aa581bcb5d", "short_code": "ob", "title": "ICECAPS-ACE: surface wind profiles taken at Summit Station, Greenland", "abstract": "This dataset contains near-surface wind profile from four sonic anemometers distributed on the 15 m tower at Summit Station, Greenland, detected by Lufft VentusX, heated 2D sonic anemometer, and Metek uSonic-3 scientific, heated 3D sonic anemometer. Data are 1 minute averages concatenated into monthly files.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, { "ob_id": 31768, "uuid": "bbd0a00c3d7f42f7bbd7ca69a8a9f4e6", "short_code": "ob", "title": "ICECAPS-ACE: surface turbulent heat flux estimates", "abstract": "This dataset contains estimates of turbulent heat and momentum fluxes calculated by applying the eddy covariance technique to the flux-components data product. Estimates are calculated over 15-minute and 30-minute averaging intervals, at two heights on the 15 m tower at Summit Station, Greenland.\r\n\r\n- ace-flux-1 are the lower level (~2 m above surface) calculations, from a Metek uSonic-3 scientific 3D sonic anemometer and Licor Li-7500 gas analyzer.\r\n- ace-flux-2 are the higher level measurements (~14 m above surface), from a Metek uSonic-3 scientific 3D sonic anemometer only (no latent heat flux).\r\n\r\nAlso see the ICECAPS-ACE: surface turbulent heat flux components data product for the high resolution (10 Hz) data used to make these calculations.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 131983, 131984, 131985, 131986, 131988, 131989, 131990, 131987, 132827, 168920, 132828, 216404 ], "onlineresource_set": [ 37827, 37826, 38033, 38032 ], "project_set": [ 30502, 38309 ] }, { "ob_id": 30608, "uuid": "d62f7f801cb54c749d20e736d4a1039f", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 4.2 Data", "abstract": "This collection contains version 4.2 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 4.2 data products held in the CEDA archive covering the period 1997-2019. Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "keywords": "ESA, Ocean Colour, CCI, ECV", "publicationState": "citable", "dataPublishedTime": "2020-07-01T12:00:00", "doiPublishedTime": "2021-05-19T14:49:19", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30592, "uuid": "88c2bc7af4f0402d8ceecad611c58cc5", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30641, "uuid": "37e8a29d208d4a87ae4dbe1d16b2c0ef", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30596, "uuid": "db32212d86f9431dae67076dd122565e", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30588, "uuid": "aeae1a19608347f7b802691db6984343", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.2 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30602, "uuid": "d6d0d7b4cf3540448b4ddcaed2f54b81", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30590, "uuid": "51fc11a9438b466db2ec8bd098efe7d5", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30604, "uuid": "07eeca6888c645d89a7ef91de0290eca", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30594, "uuid": "5400de38636d43de9808bfc0b500e863", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites). Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30598, "uuid": "aab98144131244f58ce1b56e7342ff3e", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 4.2 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30603, "uuid": "99348189bd33459cbd597a58c30d8d10", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "ob_id": 30600, "uuid": "1f84f9465e65416ca45cd20bc415b522", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 4.2 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." } ], "identifier_set": [ 10888 ], "responsiblepartyinfo_set": [ 132702, 145287, 145288, 132698, 132699, 132700, 132701, 132703, 132704, 132705, 132706, 132707, 132708, 132709, 132710, 132711, 132712, 132713, 132714, 132715, 132716, 132717, 132718, 132719, 132720, 132721, 132722, 132723, 132724, 132725, 132726, 132727, 132728, 132729, 132730, 132731, 132732, 132733 ], "onlineresource_set": [ 38015, 38016, 38017, 38018, 38063, 87628 ], "project_set": [ 13365 ] }, { "ob_id": 30643, "uuid": "4ce685bff631459fb2a30faa699f3fc5", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): weekly and monthly sea surface salinity products, v2.31, for 2010 to 2019", "abstract": "The European Space Agency (ESA) Sea Surface Salinity CCI consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2019 period.\r\n\r\nThis dataset collection contains Sea Surface Salinity (SSS) v2.31 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a 25km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling.\r\n\r\nA monthly product is also available, at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling.\r\n\r\n In addition to salinity, information on errors are provided (see more in the user guide and product documentation available below and on the Sea Surface Salinity CCI web page).\r\n\r\nAn overview paper about CCI SSS is now published:\r\n\r\nBoutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.\r\n\r\nAn updated version of CCI SSS (version 3.21) is now available on: https://catalogue.ceda.ac.uk/uuid/5920a2c77e3c45339477acd31ce62c3c ; version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag.", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "citable", "dataPublishedTime": "2020-09-07T13:41:58", "doiPublishedTime": "2020-09-07T13:50:53", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30645, "uuid": "7813eb75a131474a8d908f69c716b031", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product, v2.31, for 2010 to 2019", "abstract": "The ESA Sea Surface Salinity CCI consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2019 period.\r\n\r\nThis dataset provides Sea Surface Salinity (SSS) data at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. A weekly product is also available. In addition to salinity, information on errors are provided (see more in the user guide and product documentation available below and on the Sea Surface Salinity CCI web page).\r\n\r\nAn overview paper about CCI SSS is now published:\r\n\r\nBoutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.\r\n\r\nAn updated version of CCI SSS (version 3.21) is now available on: https://catalogue.ceda.ac.uk/uuid/5920a2c77e3c45339477acd31ce62c3c ; version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag." }, { "ob_id": 30644, "uuid": "eacb7580e1b54afeaabb0fd2b0a53828", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product, v2.31, for 2010 to 2019", "abstract": "The ESA Sea Surface Salinity CCI consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2019 period.\r\n\r\nThis dataset contains Sea Surface Salinity (SSS) v2.31 data at a spatial resolution of 50 km and a time resolution of 1 week. It has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available. In addition to salinity, information on errors are provided (see more in the user guide and product documentation available below and on the Sea Surface Salinity CCI web page).\r\n\r\nAn overview paper about CCI SSS is now published:\r\n\r\nBoutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.\r\n\r\nAn updated version of CCI SSS (version 3.21) is now available on: https://catalogue.ceda.ac.uk/uuid/5920a2c77e3c45339477acd31ce62c3c ; version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag." } ], "identifier_set": [ 10748 ], "responsiblepartyinfo_set": [ 132892, 132893, 132894, 132895, 132896, 132898, 132899, 132897, 132900, 132903, 140353, 132901, 140354, 132902, 140355, 140356, 140357, 140358, 140359, 140360, 140361, 140362, 140363, 140364, 140365, 140366, 140367, 140368, 140369, 140370, 140371, 140372, 140373 ], "onlineresource_set": [ 38064, 38065, 43622, 87756, 87757, 87758, 88097, 92705 ], "project_set": [ 28235 ] }, { "ob_id": 30658, "uuid": "42ca2df952fe428f9f6fbce07d092f93", "short_code": "coll", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-ESM-1-1-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30656, "uuid": "da7d5f366fc246b585cc9a0596a531d1", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CF3hr, CFday, E3hrPt, Eday, EdayZ, Emon, ImonAnt, ImonGre, Lmon, Oday, Odec, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38772, "uuid": "a8b8acdbe65b44eba619432742f676a9", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"lgm\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"last glacial maximum\" (lgm) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, Eday, Oday, Odec, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38775, "uuid": "da074276497f4645b6c372f59b3c0960", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, Eday, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33690, "uuid": "883d05e5933f4362ad8490c2bdb9525c", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Odec, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33687, "uuid": "63289bab11934f7db74bf7032ff23643", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-ESM-1-1-LR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Oday, Odec, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 132958, 132960, 132961, 132962, 132963, 132964, 132965, 132966, 132959 ], "onlineresource_set": [ 38081, 38082, 49119 ], "project_set": [ 30655 ] }, { "ob_id": 30663, "uuid": "8225a350716d4670b18b97c53bc08ea8", "short_code": "coll", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, FGOALS-f3-L", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34263, "uuid": "842c5deb832645f1a301f46215d27e49", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38914, "uuid": "b357b93be7de466ca9a8e5b9620bc451", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30661, "uuid": "3db18970b4ae42f799a6993769c5147e", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Omon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38938, "uuid": "43add211783848d9a54b98cb6a4213b2", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31287, "uuid": "6cde7d6bde144de1b679fb48bfbc672f", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon and LImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30668, "uuid": "5201026e84684410beae4cebb0537d62", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30999, "uuid": "913388320c534c29a46fafbe52efda54", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31291, "uuid": "df17e887419940578afe77063a96ece2", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30996, "uuid": "55d917bbcdbe4d5896b8203ff98b44eb", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31526, "uuid": "d1a276ac6fad42b6ba943e5b1e57fbfe", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31112, "uuid": "64c75cb2821a4f25920e767ed7264527", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30665, "uuid": "65549c3694ae448ea45bd3c76a867400", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Omon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31284, "uuid": "32abbc4c70bd46b1b655e39a34f6a360", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30671, "uuid": "eb0a1d98203a4806aebbdfd8318b79f9", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 132987, 132989, 132990, 132991, 132992, 132993, 132994, 132995, 132988 ], "onlineresource_set": [ 38094, 38095, 49103 ], "project_set": [ 30660 ] }, { "ob_id": 30676, "uuid": "4b111acb0cc54c428366cbfb28bb739b", "short_code": "coll", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Sciences (CAS) FGOALS-g3 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, FGOALS-g3", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31309, "uuid": "6a14f0f8472549b690007e63f17cb971", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp460\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"update of RCP6.0 based on SSP4\" (ssp460) experiment. These are available at the following frequencies: SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31297, "uuid": "673ea38da79f48f09fe2db50a8fe17b8", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31511, "uuid": "7315f9eacc144bd5b134558249b0ef35", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38778, "uuid": "0fd5a3dea66747cc976f99dd3bff4a53", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31514, "uuid": "415a5ddd9c444adaaacc1a25a7248bb0", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34037, "uuid": "81cb108bbac740098fe1c9501876948d", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34452, "uuid": "ab1d1fa862294f15a57f0a62b8aa06a7", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, LImon, Lmon, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30674, "uuid": "8f4e08d7633241f28d15dfdf8e0d0566", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34034, "uuid": "8fd8cee53d6c463790557c0695f49aba", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 43990, "uuid": "b4af77bfb2b64c498d9b30b5cfefa9ad", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33941, "uuid": "0d30e79ecd544b5fb9a1054935f22124", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33938, "uuid": "0f392b23d8934abc86c005feb15240f1", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31306, "uuid": "70db48c427844ffaa628bfb47d7be737", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31303, "uuid": "bc3c978663fc415b8acbb45c6e4158dd", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, LImon, Lmon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33935, "uuid": "c078657e2b1e4fda9f65062311b7ed48", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, Omon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34040, "uuid": "232e0264af264595a836dd3ecb8144bd", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31300, "uuid": "9a844e879e10432dab0f2853e6bdff3d", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, LImon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34028, "uuid": "dfe5dae41cda43ab91b223bd6d9a197f", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34031, "uuid": "ca3c11af21ed492e902f0db537c918fc", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31294, "uuid": "ca6c90052bed419d8926e437c737e32d", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31312, "uuid": "e858680d27274865be76581253e7453f", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133056, 133058, 133059, 133060, 133061, 133062, 133063, 133064, 133057 ], "onlineresource_set": [ 38144, 38145, 49108 ], "project_set": [ 30660 ] }, { "ob_id": 30680, "uuid": "5a05ca825fd44031933193d7a259f038", "short_code": "coll", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CCCma, CanESM5-CanOE", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30678, "uuid": "6c6d194afd4f46ef848f387170cc62c8", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31321, "uuid": "c958571a60a546b28063030bb6b07577", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31318, "uuid": "e302e31173794eadbe5301938c7c2177", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33705, "uuid": "0f979d391c664478baa17576030d4f29", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31324, "uuid": "27219e54309b471787720119f26f2425", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31315, "uuid": "0dd3b223a668481ca0e21f3806875b73", "short_code": "ob", "title": "WCRP CMIP6: Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Canadian Centre for Climate Modelling and Analysis (CCCma) CanESM5-CanOE model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133080, 133082, 133083, 133084, 133085, 133086, 133087, 133088, 133081 ], "onlineresource_set": [ 38155, 38156, 49120 ], "project_set": [ 28435 ] }, { "ob_id": 30685, "uuid": "511ec500aba04377ab96882788e5064a", "short_code": "coll", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CCCR-IITM, IITM-ESM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30687, "uuid": "95ee845ed0b84333b43cb17e46881c5d", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34461, "uuid": "1b3191dff0a44d82a34fac36bb1bd83d", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33711, "uuid": "57a0c656280843e5a5d435dc3ecd610a", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30683, "uuid": "dac2d6c6c9ce44f79b667ccb802f031c", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34458, "uuid": "a58fb63f68e5473eb8a855e4268d3d2e", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34455, "uuid": "799c2bbf16bf4ae984df7c70aa755719", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33708, "uuid": "5ff6fb55bc9845f1b6a4746c6fef2c5b", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31517, "uuid": "1caea7c7edb94e0c9003d134307aa841", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34464, "uuid": "b0eae7d2e74147a083b699b0952e3bb6", "short_code": "ob", "title": "WCRP CMIP6: Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Indian Institute of Tropical Meteorology Pune (CCCR-IITM) IITM-ESM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, Amon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133109, 133111, 133112, 133113, 133114, 133115, 133116, 133117, 133110 ], "onlineresource_set": [ 38172, 38173, 49136 ], "project_set": [ 30682 ] }, { "ob_id": 30692, "uuid": "59e96db4872f4537bea6866b686d27d1", "short_code": "coll", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output collection", "abstract": "The the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the CNRM-CERFACS team CNRM-CM6-1-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CNRM-CERFACS, CNRM-CM6-1-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30694, "uuid": "7031c36e8484454caf574b94f6e19cd9", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33757, "uuid": "c775b03082e5497cb6f01d483b181b66", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Emon, Ofx, SImon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38615, "uuid": "8ecdba34f07945cdbfffce463202422a", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 38624, "uuid": "e9326b358b464e02a28569cb09df5d95", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 38621, "uuid": "fde43ca28a4643eeb5c9abae06f96cee", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 31334, "uuid": "aa84ee606a8c41b186f81724970ba486", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30690, "uuid": "f22d74c09e72480da1f56f29e0f80039", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33754, "uuid": "0a17e4a7439b4aaaba61e07ba4bb9c31", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Emon, Ofx, SIday, SImon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31328, "uuid": "aec8e26349d84b67b824311aff2ff21e", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33760, "uuid": "0565e99ec3ed4ef59265472ebe735918", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, AERmon, Amon, CFday, Emon, LImon, Lmon, day and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31337, "uuid": "b848fedb7a744219806732d925137637", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38627, "uuid": "9ba5aa68676048db9ca8f2e1afd6942f", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." }, { "ob_id": 31331, "uuid": "96236e33f1454654b3739ac33ab9432c", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38618, "uuid": "cfdb43bbc8e0492683df6535317607aa", "short_code": "ob", "title": "WCRP CMIP6: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 6hrPlevPt, AERmon, Amon, CFmon, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the CNRM-CERFACS team team consisted of the following agencies: Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133151, 133154, 133156, 133158, 133159, 133160, 133161, 133162, 133152, 133155, 133157, 133153 ], "onlineresource_set": [ 38192, 38193, 49140 ], "project_set": [ 28287 ] }, { "ob_id": 30700, "uuid": "4e0edba2e012485d95f3d552791aacba", "short_code": "coll", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CSIRO, ACCESS-ESM1-5", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34326, "uuid": "383f7f4e135f44e681e11a5976603af2", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30705, "uuid": "8e96283ea3ec42dfa9742c851926348f", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Emon, LImon, Lmon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34320, "uuid": "936866c30bcf4d8e85983148b7123c53", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38676, "uuid": "5be835aa366e4eedb001ea43a427d0d3", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"hist-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38781, "uuid": "e48137a8d95b4f8090a8c1daaef556e8", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Emon, LImon, Ofx, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38673, "uuid": "483b8baf3eb7498cbb1c0a59e4a4fc39", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"esm-ssp585-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31343, "uuid": "bdf2f3781d264896a2360b46510bbab0", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30708, "uuid": "0f9fcafe0594429db7cac778ac294e4d", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: 3hr, Amon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30702, "uuid": "745ade35320c40e7b58e8c90e0f41a92", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30714, "uuid": "4d23cf5216b546279066e58e6386e8bc", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, LImon, Lmon, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33947, "uuid": "c1cfcdc7d6db4c45a74374433663f172", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38522, "uuid": "adca102f6e23407ca2d0d1a2a24b7048", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp245-cov-modgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"2-year Covid-19 emissions blip followed by moderate-green stimulus recovery, based upon ssp245\" (ssp245-cov-modgreen) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33950, "uuid": "238336b2a5cc4d9782a47f97625513f1", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34317, "uuid": "79e9b151cfce4185abc92b5b35957da2", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34323, "uuid": "a238d3f76ce140bcab27848354f075c7", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44454, "uuid": "32db1a4f28a54b4eb5022695ad92f6e7", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"past1000\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30711, "uuid": "a2ff6c398f70480396e039165222661c", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, CF3hr, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38525, "uuid": "7204eab25dd44dbbb4d165265b3be944", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp245-cov-strgreen\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"2-year Covid-19 emissions blip followed by strong-green stimulus recovery, based upon ssp245\" (ssp245-cov-strgreen) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38516, "uuid": "1ec2602b3aa5422189d456b386a4b525", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp245-cov-fossil\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"2-year Covid-19 emissions blip followed by increased emissions due to a fossil-fuel based recovery, based upon ssp245\" (ssp245-cov-fossil) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33944, "uuid": "991f0249f4f44c2abb04f874cfb42faf", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFmon, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31349, "uuid": "ecb3592249ad4015aa13776af82a00f6", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38682, "uuid": "a7fd002f7a2a4a0090e85602464009d6", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp370-ssp126Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38386, "uuid": "fca87ec2d659448b873da5d6eee7d581", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31346, "uuid": "49da909e4c0246df9d0a6e796aabc9a8", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33763, "uuid": "7a7d8312deaa448faf36fdb2e0c2b6d9", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"esm-piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"pre-industrial control simulation with CO2 concentration calculated\" (esm-piControl) experiment. These are available at the following frequencies: Amon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34314, "uuid": "d82222b26f2a41039740c434b117b7ea", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon, Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38519, "uuid": "351a8052c32f45bbb680e2b7eb178ffb", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp245-covid\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"2-year Covid-19 emissions blip based upon ssp245\" (ssp245-covid) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31340, "uuid": "626775a3f4c3463da3614854f1b8a756", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30698, "uuid": "2dc9120e8c7a414bbb901d615682c490", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34311, "uuid": "2a57a8e781b7449c8f8955ee299e565a", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38679, "uuid": "cdd57775784f4666875c50fabe5bf4cf", "short_code": "ob", "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"ssp126-ssp370Lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133207, 133209, 133210, 133211, 133212, 133213, 133214, 133215, 133208 ], "onlineresource_set": [ 38214, 38215, 49175 ], "project_set": [ 30697 ] }, { "ob_id": 30720, "uuid": "1115547829c14ed79c627ac53f426732", "short_code": "coll", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output collection", "abstract": "The the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the CSIRO-ARCCSS team ACCESS-CM2 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CSIRO-ARCCSS, ACCESS-CM2", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34338, "uuid": "58fc54e9d74241b7b497fd4e9e1e822b", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30953, "uuid": "0f3dceeacce94a61a33a23020de5b005", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30722, "uuid": "ecb67ea156a047498e1338f18ad6aa3b", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31358, "uuid": "dd91a31b7d1946f99b5526e9514ba2e1", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, CF3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34335, "uuid": "4152221ad112401da3566cdf058b5479", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31355, "uuid": "42aff3e55594442db8dc08b28bf28be3", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, CF3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30947, "uuid": "be1548074e144a11bd23907555b627df", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31352, "uuid": "989bfba10dd64baea20b77587f6940f3", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, CF3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30731, "uuid": "d86dc92f71774ee3abd1eebb022b7607", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31361, "uuid": "fc39acb1f5ad498fb2cf10f289d0837e", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, CF3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33953, "uuid": "50c78f42a2854af7aeaad2c9cf8960cd", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"hist-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"historical anthropogenic aerosols-only run\" (hist-aer) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30718, "uuid": "114435d26ff54afeba9828296db843d9", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30944, "uuid": "a5de9f719ddd4df2978a940d85eb23c3", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30950, "uuid": "f3fed4b14110485799975799e09f852b", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon, Ofx, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34341, "uuid": "ad0d761a16754e458f3a4398ba15e05f", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30728, "uuid": "7a2afce0f5a94092bab8cc05200d9641", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, CF3hr, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30725, "uuid": "5ddf1c68098b4cc88572032e7a7917c5", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Emon, LImon, Lmon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33959, "uuid": "af0c2bd728e74a66ad846ea278515fcc", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"hist-nat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"historical natural-only run\" (hist-nat) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, EdayZ, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34329, "uuid": "297ada524b694efb84804ce1d534b423", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34332, "uuid": "e60b2cfe3fc5452bb771706b0f3f12e7", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon, Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33956, "uuid": "0e0fdb7e2c6d4fd3834f89803b9cabda", "short_code": "ob", "title": "WCRP CMIP6: the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"hist-GHG\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the CSIRO-ARCCSS team ACCESS-CM2 model output for the \"historical well-mixed GHG-only run\" (hist-GHG) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the CSIRO-ARCCSS team team consisted of the following agencies: Commonwealth Scientific and Industrial Research Organisation (CSIRO) and ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133317, 133320, 133322, 133324, 133325, 133326, 133327, 133328, 133318, 133321, 133323, 133319 ], "onlineresource_set": [ 38284, 38285, 49152 ], "project_set": [ 30717 ] }, { "ob_id": 30737, "uuid": "2768de53393442fe859b4a72c27d0416", "short_code": "coll", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output collection", "abstract": "The the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the E3SM-Project team E3SM-1-1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, E3SM-Project, E3SM-1-1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30739, "uuid": "42752a05c1154fb698895ddb8d9510f3", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34497, "uuid": "7429b9f3d6e94d6f8dc4f3315024ca9a", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, Amon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44389, "uuid": "3e45a175c56b488e8f06d2e24f51df2c", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Lmon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." }, { "ob_id": 30735, "uuid": "a57c1d104c6a4c2b87757a7b6e11d0d0", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44386, "uuid": "6539374d45b9460c8065609b8f812655", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"hist-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." }, { "ob_id": 34494, "uuid": "cfcea575bfaf49d8af9d58d2e7aa9b30", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: AERmon, Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133478, 133487, 133495, 133503, 133504, 133505, 133506, 133507, 133479, 133488, 133496, 133489, 133497, 133480, 133481, 133498, 133490, 133482, 133499, 133491, 133483, 133492, 133500, 133493, 133484, 133501, 133494, 133485, 133502, 133486 ], "onlineresource_set": [ 38339, 38340, 49178 ], "project_set": [ 30734 ] }, { "ob_id": 30745, "uuid": "80890e9046994ad099af30a45a3c7031", "short_code": "coll", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output collection", "abstract": "The the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the FIO-QLNM team FIO-ESM-2-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, FIO-QLNM, FIO-ESM-2-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31385, "uuid": "5990bcba9eba41768b409637271d7364", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31391, "uuid": "ce2906d95fe342e195c5aa429e1217d3", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31388, "uuid": "2d157ca01ff3484aa774d1bbded74ac2", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequency: SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30747, "uuid": "58441267543a45b2a5c389939bd55e1d", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33828, "uuid": "0db4cb437e814d90bcb9499aa2626ae9", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"AMIP\" (amip) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f1 and r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33822, "uuid": "1dbbabc0e64548838885e5f642a61a10", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Omon and SImon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34275, "uuid": "1153e87b0f534e6087224b0a9efd3cc4", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33825, "uuid": "8beaa78decbe4dfc9d23af13995b024a", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30743, "uuid": "9e96af0173c74f0e9444541ef245f047", "short_code": "ob", "title": "WCRP CMIP6: the FIO-QLNM team FIO-ESM-2-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the FIO-QLNM team FIO-ESM-2-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the FIO-QLNM team team consisted of the following agencies: The First Institute of Oceanography (FIO) and Qingdao National Laboratory for Marine Science and Technology (QNLM).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133612, 133615, 133617, 133619, 133620, 133621, 133622, 133623, 133613, 133616, 133618, 133614 ], "onlineresource_set": [ 38361, 38362, 49118 ], "project_set": [ 30742 ] }, { "ob_id": 30753, "uuid": "11d56b36231e44c38cf9f2f4ba596388", "short_code": "coll", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output collection", "abstract": "The the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, HAMMOZ-Consortium, MPI-ESM-1-2-HAM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34365, "uuid": "709458acd03c4f20aad3320e6c7a1688", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38344, "uuid": "3cc4c5cc05414cd0b68ff489f9bd83f0", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"ssp370-lowNTCF\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"SSP3-7.0, with low NTCF emissions\" (ssp370-lowNTCF) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich." }, { "ob_id": 33476, "uuid": "09fa441901da4e93a5ac98de515aa0fa", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"hist-piAer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"historical forcing, but with pre-industrial aerosol emissions\" (hist-piAer) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich." }, { "ob_id": 33837, "uuid": "3a433dbe0655410fa8944ffad2ae17ee", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hrPt, Eday, EdayZ, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33831, "uuid": "1b7cd158c04846e7bd1f04f0e67213c3", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30755, "uuid": "95524cfa2b5a4a53b84d8688f9b2b19d", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmonZ, Amon, Lmon, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30751, "uuid": "040ba55dbd394ac78f3abd4ed0acd5ed", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33834, "uuid": "60e792addf81450b8a41d180674880c3", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34368, "uuid": "d9c939ecdef148dc8cdb12088c079875", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31394, "uuid": "65e8dfccb2b54eaca2122f638162711c", "short_code": "ob", "title": "WCRP CMIP6: the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the HAMMOZ-Consortium team MPI-ESM-1-2-HAM model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the HAMMOZ-Consortium team team consisted of the following agencies: Swiss Federal Institute of Technology Zurich (ETH-Zurich), Max Planck Institute for Meteorology (MPI-M), Forschungszentrum Jülich, University of Oxford, Finnish Meteorological Institute (FMI), Leibniz Institute for Tropospheric Research (IfT) and Center for Climate Systems Modeling (C2SM) at ETH Zurich.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133704, 133712, 133719, 133726, 133727, 133728, 133729, 133730, 133705, 133713, 133720, 133706, 133714, 133721, 133715, 133722, 133707, 133708, 133716, 133723, 133717, 133709, 133724, 133725, 133718, 133710, 133711 ], "onlineresource_set": [ 38383, 38384, 49162 ], "project_set": [ 30750 ] }, { "ob_id": 30761, "uuid": "31f3f03483a84110a6c32f9289a8c8a6", "short_code": "coll", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institute for Numerical Mathematics (INM) INM-CM4-8 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, INM, INM-CM4-8", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31400, "uuid": "c266911ac7a3490baac2ae9f88e8f901", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31149, "uuid": "ee702993a75f4c73a4d941e454c4efb7", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"lgm\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"last glacial maximum\" (lgm) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30759, "uuid": "d7e880d8d4634e489d1f4e070ec37323", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31406, "uuid": "17179dfb6bc24bbeaba902928c91e5c0", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30772, "uuid": "c300cdff0b314bf0a55402688ac7b70e", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, CFday, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31529, "uuid": "7f8ddbfd83c147919ce1ab385d1e0fda", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30769, "uuid": "b46bf6e4d2b845a5a3693bf797ba26db", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31397, "uuid": "542b4d222f9641b3a5598da311a6e0e5", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31403, "uuid": "f8d5e0c71b864e2fa7c5285c3fe901b1", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30763, "uuid": "9a09f42e657a4fa5939064d4f6b67e9a", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30766, "uuid": "49f6f6827d93462e949706230fb173aa", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44457, "uuid": "30922c00a312448784eff429e2b2f408", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"past1000\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: AERmon, Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133820, 133822, 133823, 133824, 133825, 133826, 133827, 133828, 133821 ], "onlineresource_set": [ 38407, 38408, 49104 ], "project_set": [ 30758 ] }, { "ob_id": 30777, "uuid": "274a27cf1c0447809504923e65b9b650", "short_code": "coll", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institute for Numerical Mathematics (INM) INM-CM5-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, INM, INM-CM5-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30775, "uuid": "5b50fd3fe7b74a64be91fb7ebb8c21a9", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31415, "uuid": "0e4c90eb59934ccf870065d8f0d9aea7", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30785, "uuid": "b781b2ecade64f8bb1e4c8c33e4aa97d", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30782, "uuid": "0d887dfe6d6d4655a68a6d6f073a4d30", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30779, "uuid": "f41255e814f8490b9902f39d2c30a772", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31418, "uuid": "90cc1bbe027349f6b4b3dfd842d63629", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30788, "uuid": "4440e35d51bc44d984e3b8a742681751", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, CFday, Eday, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31409, "uuid": "6eee5220dcd547c49124bacf3281f0d6", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31412, "uuid": "9b6800db978d4e42b044915b668b0ba1", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-0 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 133904, 133906, 133907, 133908, 133909, 133910, 133911, 133912, 133905 ], "onlineresource_set": [ 38454, 38455, 49116 ], "project_set": [ 30758 ] }, { "ob_id": 30817, "uuid": "65edc10dc0664aeda89dec81f2c6426e", "short_code": "coll", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, MPI-ESM1-2-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38664, "uuid": "ddf7612b61434f1cb3b925f784860da7", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"land-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38799, "uuid": "ca9afc2c4e224d07b0428d698f189706", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piClim-spAer-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"effective radiative forcing at present day with specified anthropogenic aerosol optical properties, all forcings\" (piClim-spAer-aer) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30822, "uuid": "5d67802553f54d1cb4b9e9c728197c31", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, E3hr, E3hrPt, Eday, EdayZ, Emon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38790, "uuid": "d4bdf7c15437464fbc0aeb204a352ca4", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"lgm\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"last glacial maximum\" (lgm) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, Eday, Oday, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38688, "uuid": "d35b72544ce24cddac67c01c8ac0ef2a", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"deforest-globe\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"idealized transient global deforestation\" (deforest-globe) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38826, "uuid": "da7e4ae69653436dab5ab93421f76dec", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38431, "uuid": "0eb9898160a24e5a8e7da645c411625e", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"esm-ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38428, "uuid": "364c4ec4483b4b0bbf6040dbbd674b2f", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"1pctCO2-rad\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"radiatively-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-rad) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38793, "uuid": "c4bcd62c58a84530a6d77445f16718e0", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, Eday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33886, "uuid": "a9cde07bf51c4f0998e91196760676b1", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31182, "uuid": "aa987e079219499aa6ab4f7795f07303", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31427, "uuid": "7c6961f684bb47508406a87999de6d2a", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30815, "uuid": "6b8b928f1ab140eb96b0c6ee9663425a", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33880, "uuid": "22ca913fccbe4910b490f63b4cd9fcf5", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31430, "uuid": "cb03d4760a7b4a06936e5afa80dd9514", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, CFmon, E3hrPt, Eday, Emon, LImon, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31109, "uuid": "dd39e1447d864dc180212e30f2f20da9", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31179, "uuid": "e5362a85a53f4fca90b97fd964d0c9c8", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34098, "uuid": "5bd697813d5248da952d1a07a0362fc7", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"G6sulfur\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245\" (G6sulfur) experiment. These are available at the following frequencies: 3hr, 6hrPlev, AERmon, Amon, CF3hr, CFmon, E3hr, E3hrPt, Emon, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38425, "uuid": "ec557e0cd62343d7a85218b00e62e3ec", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"1pctCO2-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: Amon, Lmon and Omon. The runs included the ensemble members: r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31436, "uuid": "a20b23c4cf9c4d679cd5f32c3d78d3aa", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34095, "uuid": "54602895d26844b6b6ef8aec126eded5", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"G6solar\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"total solar irradiance reduction to reduce net forcing from SSP585 to SSP245\" (G6solar) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44460, "uuid": "2487833eb4b544f3a12d28dabdbd0053", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"past2k\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"last two millennia experiment\" (past2k) experiment. These are available at the following frequencies: AERmon, Amon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31185, "uuid": "621a5bfff4ce43629c3188374ac75279", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30819, "uuid": "e90327b30aa047999f4b07f38dc0b573", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33883, "uuid": "9eada119c3fd4bdcad73bd2186c1bb52", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hrPt, EdayZ, Emon, LImon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31433, "uuid": "b94f6020888045c3bce374d05d0d57f3", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31176, "uuid": "c7d9a1ea2c1b40dfb8bea90a4c9d5a7a", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134108, 134110, 134111, 134112, 134113, 134114, 134115, 134116, 134109 ], "onlineresource_set": [ 38619, 38620, 49146 ], "project_set": [ 29312 ] }, { "ob_id": 30839, "uuid": "796977eeaac24d3ab9d7dc3fe9d26a61", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2-FV2", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30837, "uuid": "e4b35056b0fe449eaa7641a86cc99af9", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33908, "uuid": "d16b08057ef74bc98a7ad68c514ce0e4", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Oday, Ofx, Omon, SIday, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33911, "uuid": "687244424e594beeb2784f72dc64764e", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30841, "uuid": "8680db0e5ff244788677bbad828880c1", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30844, "uuid": "137deca7b5364956a27e06a6236a4038", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-FV2 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134222, 134224, 134225, 134226, 134227, 134228, 134229, 134230, 134223 ], "onlineresource_set": [ 38702, 38703, 49101 ], "project_set": [ 28424 ] }, { "ob_id": 30849, "uuid": "614e81f37d834cf09b0bb96a2b63bc2a", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2-WACCM-FV2", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30854, "uuid": "951cc66031664fc29e546bb6379d9835", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, Eyr, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33914, "uuid": "21127d7b787b4283915c06da2fc17e30", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30847, "uuid": "cef67d7f528343d1a9633facad95f637", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30857, "uuid": "95ce0af3db684537961da43cfff5131b", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, Eday, EdayZ, Emon, ImonAnt, ImonGre, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30851, "uuid": "b95b75058f8345e293b0674688bbe58b", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2-WACCM-FV2 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134276, 134278, 134279, 134280, 134281, 134282, 134283, 134284, 134277 ], "onlineresource_set": [ 38740, 38739, 49107 ], "project_set": [ 28424 ] }, { "ob_id": 30875, "uuid": "0074e6260ab945f3ad8be94990eb53e5", "short_code": "coll", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorESM2-MM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorESM2-MM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30880, "uuid": "58879cbe896f4ffca931ae4e9c66e573", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CFday, Eday, Emon, Lmon, Oday, Ofx, Omon, Oyr, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31250, "uuid": "24f5caeac8f84f47a191837a0169fca4", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33917, "uuid": "926e62a3147a40089e24ace55771556f", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, CF3hr, CFday, Eday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31247, "uuid": "be54172f5f2e4a0b8b04535c426113b3", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31475, "uuid": "5ac24324d18b47618f1c10a15794e40e", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Omon, Oyr, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31466, "uuid": "fd4e2b4ecc8b48338812e48180a81a43", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31472, "uuid": "a3dd9a48cd3745bfbdba9b2a573dc226", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31469, "uuid": "13c497ca82ef4e82b3f09e92a6f2ff63", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33920, "uuid": "e83c056f0b904a4790e72297a55b8fb9", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Eday, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30877, "uuid": "768ad013d5a449de8e94c556dfd980f1", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CF3hr, CFday, CFmon, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30873, "uuid": "9f1d4ca35cc1473ca96a06e7783f9fb0", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, CFday, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31244, "uuid": "31840b1d654646c38e3916d05505867f", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-MM model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon, CFday, CFmon, Eday, Emon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134405, 134407, 134408, 134409, 134410, 134411, 134412, 134413, 134406 ], "onlineresource_set": [ 38897, 38898, 49113 ], "project_set": [ 28945 ] }, { "ob_id": 30885, "uuid": "a546b493da9941a0a1c1d5e30df68404", "short_code": "coll", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output collection", "abstract": "The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the NIMS-KMA team KACE-1-0-G model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NIMS-KMA, KACE-1-0-G", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30887, "uuid": "7b9768bb2da74c5c9b35369e5be10a2a", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: 3hr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31478, "uuid": "db66f62b4b0748fd8b12fd2f3fa327b1", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33923, "uuid": "8c9ea7c1edd84434859a88d39a449306", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Emon and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33926, "uuid": "108e0e539db64c1986a10f56ae2fb441", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon and Emon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31481, "uuid": "1b63441bdb9c4829a06faf66f0ca66dd", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30883, "uuid": "1c52a8b46c374a86a4c083fe69ab03c1", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31541, "uuid": "560eebdc55fa426ca59ba91048f56582", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31538, "uuid": "6077a169717a4893861cdfa6c737e2d3", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, AERmon, Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33929, "uuid": "2b642e653c384c47a907ff15145cd979", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134462, 134465, 134467, 134469, 134470, 134471, 134472, 134473, 134463, 134466, 134468, 134464 ], "onlineresource_set": [ 38926, 38927, 49083 ], "project_set": [ 30331 ] }, { "ob_id": 30899, "uuid": "3691983c2549432287e113d9d04d744c", "short_code": "coll", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Nanjing University of Information Science and Technology (NUIST) NESM3 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NUIST, NESM3", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38917, "uuid": "cb7ef43aae1c48049f85facd0c555591", "short_code": "ob", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30897, "uuid": "a33ab9c429d84c219a7f93bbcca62301", "short_code": "ob", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38923, "uuid": "5e6c5437000040e4a43be5defe72c910", "short_code": "ob", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1 and r5i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30901, "uuid": "6f55b7cfd1ca41ecac3f8c1eac0ade1a", "short_code": "ob", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, Oday, Omon, SIday and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38920, "uuid": "65778f54964e4e96aba0c047ef499303", "short_code": "ob", "title": "WCRP CMIP6: Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Nanjing University of Information Science and Technology (NUIST) NESM3 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134554, 134556, 134557, 134558, 134559, 134560, 134561, 134562, 134555 ], "onlineresource_set": [ 38966, 38967, 49099 ], "project_set": [ 30896 ] }, { "ob_id": 30907, "uuid": "e5ae88e5277d43c39e2069c6b18b831f", "short_code": "coll", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Tsinghua University - Department of Earth System Science (THU) CIESM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, THU, CIESM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31484, "uuid": "4179083512a34b298e28f55385c67b36", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30909, "uuid": "d2ebc00ba4994ca9b3294fc647eb6e4a", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31520, "uuid": "a5d56b0944da43d5a15c8b3076303035", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31544, "uuid": "deb3283a1d1040bd9237fbf45107dce4", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30912, "uuid": "f1da997359204a1c8b34e5b0746fbddd", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31547, "uuid": "7d7214cdff734ade9588c8157acf79d0", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30905, "uuid": "88159f1cdd544f5999428a6c16f06ce3", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33932, "uuid": "2ed8936086ee4905bcecc7844350ed72", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon, LImon and Lmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134598, 134600, 134601, 134602, 134603, 134604, 134605, 134606, 134599 ], "onlineresource_set": [ 38996, 38997, 49112 ], "project_set": [ 30904 ] }, { "ob_id": 30918, "uuid": "7aab09ba913845b3b8aa87032cf6fd66", "short_code": "coll", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, UA, MCM-UA-1-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 43987, "uuid": "d646eaa80bc94961b722c2b6e57de823", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31493, "uuid": "5d8fd2cc66874abf8ecc79ee519f568e", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon and Ofx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31490, "uuid": "ac522ea493eb46b189af00de5f0b25bb", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon and Ofx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30916, "uuid": "06f0cdc13a12407ebf9cdbd6a4ebc5b4", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble members: r1i1p1f1 and r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 43958, "uuid": "1cae7f7113034d4da2aeebf9b985b18a", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31496, "uuid": "1de487e6c3c943c3967cd2d8bdef8b72", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon and Ofx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 43984, "uuid": "a8245ce716304241abeb547b51a64409", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Ofx, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31487, "uuid": "2af01f78851b4f708028df6a9be0de60", "short_code": "ob", "title": "WCRP CMIP6: University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the University of Arizona - Department of Geosciences (UA) MCM-UA-1-0 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon and Ofx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134657, 134659, 134660, 134661, 134662, 134663, 134664, 134665, 134658 ], "onlineresource_set": [ 39031, 39032, 49117 ], "project_set": [ 30915 ] }, { "ob_id": 30973, "uuid": "53315ed9e51a4b48b8e3f1a256b917f4", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-ESM2M", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 30978, "uuid": "0d14370e66bb43b8995713c482670cab", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30975, "uuid": "3da1ab0629c5405e9458ed42662032c8", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30984, "uuid": "3b6d3f99fdbc407ba460fce6e3c55b02", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44421, "uuid": "efa53b2b6400471e898ac281993bba1a", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-heat-NA0pct\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA0pct) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44424, "uuid": "d2d9662c07bc4277a0347f8dc2934f9b", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-heat-NA50pct\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA50pct) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30981, "uuid": "e94fc3830e3b448c81a68e71eee5f82b", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 30971, "uuid": "2c14433bcb8b4748819c3f206c5d2d74", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 134966, 134968, 134969, 134970, 134971, 134972, 134973, 134974, 134967 ], "onlineresource_set": [ 39223, 39224, 49105 ], "project_set": [ 28633 ] }, { "ob_id": 31018, "uuid": "31b3a89fad954ea4abd728b8cd917a9d", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3P model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3P", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34170, "uuid": "246db47c9e104710a43262b99f553490", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34164, "uuid": "8f791a3acdaf4308974562960e18421b", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34167, "uuid": "de16a3a97ce1424bb8b5c7a704692c71", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31016, "uuid": "fc2e9031f7f548aa91bbef2e7be601c9", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Amon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34173, "uuid": "5e0bfd6b565c45d69bd252828e3f035b", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34161, "uuid": "c8b198d4c94e48fa921234848b40f7f7", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135377, 135410, 135442, 135474, 135475, 135476, 135477, 135478, 135378, 135411, 135443, 135379, 135412, 135444, 135445, 135413, 135380, 135381, 135414, 135446, 135447, 135415, 135382, 135448, 135416, 135383, 135449, 135384, 135417, 135450, 135418, 135385, 135451, 135419, 135386, 135387, 135452, 135420, 135421, 135453, 135388, 135422, 135389, 135454, 135423, 135390, 135455, 135456, 135424, 135391, 135392, 135425, 135457, 135393, 135426, 135458, 135459, 135427, 135394, 135395, 135428, 135460, 135461, 135429, 135396, 135462, 135397, 135430, 135398, 135463, 135431, 135464, 135399, 135432, 135400, 135433, 135465, 135401, 135466, 135434, 135402, 135435, 135467, 135468, 135403, 135436, 135404, 135437, 135469, 135438, 135470, 135405, 135439, 135471, 135406, 135407, 135440, 135472, 135473, 135408, 135441, 135409 ], "onlineresource_set": [ 39369, 39370, 49168 ], "project_set": [ 31015 ] }, { "ob_id": 31022, "uuid": "b2f4d761e55e4189ac7a1c11a0d79809", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3P-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3P-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31020, "uuid": "6a42c000c2ad4532b74c08b16a33992d", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38636, "uuid": "0805620407964a9c97cd8ada5e8c3b60", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 38642, "uuid": "342d578882f94c1eb5b9641fb2d0307f", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 38639, "uuid": "1afd7cb843be425682eda73d9cf58488", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highresSST-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6\" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 38633, "uuid": "296b0b655fa142a598f60ca3029d3ad8", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135680, 135713, 135745, 135777, 135778, 135779, 135780, 135781, 135681, 135714, 135746, 135747, 135682, 135715, 135683, 135748, 135716, 135717, 135684, 135749, 135718, 135750, 135685, 135751, 135719, 135686, 135720, 135687, 135752, 135721, 135688, 135753, 135754, 135689, 135722, 135755, 135690, 135723, 135691, 135756, 135724, 135725, 135692, 135757, 135726, 135758, 135693, 135759, 135727, 135694, 135695, 135728, 135760, 135729, 135761, 135696, 135762, 135730, 135697, 135763, 135731, 135698, 135764, 135699, 135732, 135765, 135733, 135700, 135734, 135701, 135766, 135735, 135702, 135767, 135703, 135736, 135768, 135737, 135704, 135769, 135738, 135770, 135705, 135706, 135739, 135771, 135772, 135707, 135740, 135708, 135741, 135773, 135709, 135774, 135742, 135710, 135775, 135743, 135776, 135711, 135744, 135712 ], "onlineresource_set": [ 39384, 39385, 49121 ], "project_set": [ 31015 ] }, { "ob_id": 31027, "uuid": "2b592004cd664871be54d27519213e1c", "short_code": "coll", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, ECMWF, ECMWF-IFS-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31025, "uuid": "98b8cee450bd40cf86c99353d3ae2631", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: Oday, Omon, SIday and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38926, "uuid": "84c2f48c8416425fa22a1780938898ee", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38929, "uuid": "a4a8eb16e09744d4a99d3d9eec313c80", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1 and r6i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135895, 135897, 135898, 135899, 135900, 135901, 135902, 135903, 135896 ], "onlineresource_set": [ 39401, 39402, 49122 ], "project_set": [ 31024 ] }, { "ob_id": 31031, "uuid": "2aa3c1b1fcab4360af4365d94bd56875", "short_code": "coll", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, ECMWF, ECMWF-IFS-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31029, "uuid": "1f1299ba53fa443ea6e4e8b7774cc624", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38932, "uuid": "8a0389f29f75441e9f5cf160024dd0e9", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38935, "uuid": "c8234a11423a4defb99646908ce2e711", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1 and r8i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135919, 135921, 135922, 135923, 135924, 135925, 135926, 135927, 135920 ], "onlineresource_set": [ 39412, 39413, 49123 ], "project_set": [ 31024 ] }, { "ob_id": 31035, "uuid": "737194814c394a899623d03bccc76df1", "short_code": "coll", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, ECMWF, ECMWF-IFS-MR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34176, "uuid": "92b36311eae147c8bcda5b7cfdc2cc53", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31033, "uuid": "e8453759f1e746f183e1b9ca2a153e1e", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Oday, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31037, "uuid": "9dca7458555e4af78faa1e71a03b95e8", "short_code": "ob", "title": "WCRP CMIP6: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: Oday, Omon, SIday and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135943, 135945, 135946, 135947, 135948, 135949, 135950, 135951, 135944 ], "onlineresource_set": [ 39423, 39424, 49129 ], "project_set": [ 31024 ] }, { "ob_id": 31042, "uuid": "4d222e79d55e4a8aad87f2979c03ef4d", "short_code": "coll", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institute for Numerical Mathematics (INM) INM-CM5-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, INM, INM-CM5-H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31044, "uuid": "bfb8a8fe11914b10b9c4d7db54b11b41", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"highresSST-present\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Amon, Eday and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31040, "uuid": "05c0ea0caaa6450089c50616db8946de", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: Amon, Eday, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31047, "uuid": "2aff36c2d94347adade08a85516f696b", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM5-H model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Amon, Eday, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 135982, 135984, 135985, 135986, 135987, 135988, 135989, 135990, 135983 ], "onlineresource_set": [ 39443, 39444, 49124 ], "project_set": [ 30758 ] }, { "ob_id": 31052, "uuid": "e5985109b7fd4cffb0604b9ab33da801", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-HH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31050, "uuid": "d10a3ce074d041099bbd1541ee0f012a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"control-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)\" (control-1950) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFmon, E3hr, Eday, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34179, "uuid": "2fd1f796d2e548adab3f04904ad7ad7b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31054, "uuid": "6674daf12f33474e826952c8d27a9f9b", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136036, 136038, 136039, 136040, 136041, 136042, 136043, 136044, 136037 ], "onlineresource_set": [ 39472, 39473, 49130 ], "project_set": [ 28398 ] }, { "ob_id": 31062, "uuid": "8d4c0a96eb73432695f4721f7b3d71e4", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-MH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31060, "uuid": "1b083b9029a74c22b322674f3586552d", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output for the \"spinup-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output for the \"coupled spinup with fixed 1950s forcings from 1950 initial conditions (with ocean at rest) to provide initial condition for control-1950 and hist-1950\" (spinup-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, Amon, CFday, CFmon, E1hr, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136090, 136092, 136093, 136094, 136095, 136096, 136097, 136098, 136091 ], "onlineresource_set": [ 39501, 39502, 49125 ], "project_set": [ 28398 ] }, { "ob_id": 31085, "uuid": "dd72f7a7596548b780c52392291975b0", "short_code": "coll", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HH model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NERC, HadGEM3-GC31-HH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31083, "uuid": "56fd51e7a5854128bffb82302fb6e513", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, Emon, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136209, 136211, 136212, 136213, 136214, 136215, 136216, 136217, 136210 ], "onlineresource_set": [ 39572, 39573, 49126 ], "project_set": [ 31082 ] }, { "ob_id": 31089, "uuid": "93e5b6707a814146a16e4b519789d7f5", "short_code": "coll", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NERC, HadGEM3-GC31-HM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31091, "uuid": "5bd28182a5094df6bdac5eeaa2f1ce40", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, Oday, Omon and day. The runs included the ensemble member: r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31087, "uuid": "76d38727eb2049dc866020584739f59a", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6\" (highres-future) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, EmonZ, Lmon, Oday, Omon and day. The runs included the ensemble member: r1i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136233, 136235, 136236, 136237, 136238, 136239, 136240, 136241, 136234 ], "onlineresource_set": [ 39583, 39584, 49127 ], "project_set": [ 31082 ] }, { "ob_id": 31120, "uuid": "ff56c477790940dba0e44aadf0bc8c23", "short_code": "coll", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CMCC, CMCC-CM2-SR5", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34476, "uuid": "c195a2acb05f460892547835d4a6e7e7", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33729, "uuid": "38601d63a824476d8612600a8d4821e3", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33735, "uuid": "57d53a524c4f4c04a05213de4dc7ba1d", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, E3hr, Eday, Efx, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33738, "uuid": "dc29b6ed62f84b19a425e41b87a18d40", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmonZ, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34470, "uuid": "f298f1c759a04b56aa1790b58525089a", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34473, "uuid": "4bdce815eb4c400aa6a4ceb27dc6430d", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERmon, AERmonZ, Amon, E3hr, Efx, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31122, "uuid": "c33d48dd47e449069c000ed691bb4a66", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34467, "uuid": "dfbc9c01147c4832960debbaafa5151c", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38537, "uuid": "6f3cd30769ca4228af59b0dbf4ddbfa5", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: AERday, AERmonZ, Amon and day. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r1i1p1f1, s1960-r2i1p1f1, s1960-r3i1p1f1, s1960-r4i1p1f1, s1960-r5i1p1f1, s1960-r6i1p1f1, s1960-r7i1p1f1, s1960-r8i1p1f1, s1960-r9i1p1f1, s1961-r10i1p1f1, s1961-r1i1p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r7i1p1f1, s1961-r8i1p1f1, s1961-r9i1p1f1, s1962-r10i1p1f1, s1962-r1i1p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r7i1p1f1, s1962-r8i1p1f1, s1962-r9i1p1f1, s1963-r10i1p1f1, s1963-r1i1p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r7i1p1f1, s1963-r8i1p1f1, s1963-r9i1p1f1, s1964-r10i1p1f1, s1964-r1i1p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r7i1p1f1, s1964-r8i1p1f1, s1964-r9i1p1f1, s1965-r10i1p1f1, s1965-r1i1p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r7i1p1f1, s1965-r8i1p1f1, s1965-r9i1p1f1, s1966-r10i1p1f1, s1966-r1i1p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r7i1p1f1, s1966-r8i1p1f1, s1966-r9i1p1f1, s1967-r10i1p1f1, s1967-r1i1p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r7i1p1f1, s1967-r8i1p1f1, s1967-r9i1p1f1, s1968-r10i1p1f1, s1968-r1i1p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r7i1p1f1, s1968-r8i1p1f1, s1968-r9i1p1f1, s1969-r10i1p1f1, s1969-r1i1p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r7i1p1f1, s1969-r8i1p1f1, s1969-r9i1p1f1, s1970-r10i1p1f1, s1970-r1i1p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r7i1p1f1, s1970-r8i1p1f1, s1970-r9i1p1f1, s1971-r10i1p1f1, s1971-r1i1p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r7i1p1f1, s1971-r8i1p1f1, s1971-r9i1p1f1, s1972-r10i1p1f1, s1972-r1i1p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r7i1p1f1, s1972-r8i1p1f1, s1972-r9i1p1f1, s1973-r10i1p1f1, s1973-r1i1p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r7i1p1f1, s1973-r8i1p1f1, s1973-r9i1p1f1, s1974-r10i1p1f1, s1974-r1i1p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r7i1p1f1, s1974-r8i1p1f1, s1974-r9i1p1f1, s1975-r10i1p1f1, s1975-r1i1p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r7i1p1f1, s1975-r8i1p1f1, s1975-r9i1p1f1, s1976-r10i1p1f1, s1976-r1i1p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r7i1p1f1, s1976-r8i1p1f1, s1976-r9i1p1f1, s1977-r10i1p1f1, s1977-r1i1p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r7i1p1f1, s1977-r8i1p1f1, s1977-r9i1p1f1, s1978-r10i1p1f1, s1978-r1i1p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r7i1p1f1, s1978-r8i1p1f1, s1978-r9i1p1f1, s1979-r10i1p1f1, s1979-r1i1p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r7i1p1f1, s1979-r8i1p1f1, s1979-r9i1p1f1, s1980-r10i1p1f1, s1980-r1i1p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r7i1p1f1, s1980-r8i1p1f1, s1980-r9i1p1f1, s1981-r10i1p1f1, s1981-r1i1p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r7i1p1f1, s1981-r8i1p1f1, s1981-r9i1p1f1, s1982-r10i1p1f1, s1982-r1i1p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r7i1p1f1, s1982-r8i1p1f1, s1982-r9i1p1f1, s1983-r10i1p1f1, s1983-r1i1p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r7i1p1f1, s1983-r8i1p1f1, s1983-r9i1p1f1, s1984-r10i1p1f1, s1984-r1i1p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r7i1p1f1, s1984-r8i1p1f1, s1984-r9i1p1f1, s1985-r10i1p1f1, s1985-r1i1p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r7i1p1f1, s1985-r8i1p1f1, s1985-r9i1p1f1, s1986-r10i1p1f1, s1986-r1i1p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r7i1p1f1, s1986-r8i1p1f1, s1986-r9i1p1f1, s1987-r10i1p1f1, s1987-r1i1p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r7i1p1f1, s1987-r8i1p1f1, s1987-r9i1p1f1, s1988-r10i1p1f1, s1988-r1i1p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r7i1p1f1, s1988-r8i1p1f1, s1988-r9i1p1f1, s1989-r10i1p1f1, s1989-r1i1p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r7i1p1f1, s1989-r8i1p1f1, s1989-r9i1p1f1, s1990-r10i1p1f1, s1990-r1i1p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r7i1p1f1, s1990-r8i1p1f1, s1990-r9i1p1f1, s1991-r10i1p1f1, s1991-r1i1p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r7i1p1f1, s1991-r8i1p1f1, s1991-r9i1p1f1, s1992-r10i1p1f1, s1992-r1i1p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r7i1p1f1, s1992-r8i1p1f1, s1992-r9i1p1f1, s1993-r10i1p1f1, s1993-r1i1p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r7i1p1f1, s1993-r8i1p1f1, s1993-r9i1p1f1, s1994-r10i1p1f1, s1994-r1i1p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r7i1p1f1, s1994-r8i1p1f1, s1994-r9i1p1f1, s1995-r10i1p1f1, s1995-r1i1p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r7i1p1f1, s1995-r8i1p1f1, s1995-r9i1p1f1, s1996-r10i1p1f1, s1996-r1i1p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r7i1p1f1, s1996-r8i1p1f1, s1996-r9i1p1f1, s1997-r10i1p1f1, s1997-r1i1p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r7i1p1f1, s1997-r8i1p1f1, s1997-r9i1p1f1, s1998-r10i1p1f1, s1998-r1i1p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r7i1p1f1, s1998-r8i1p1f1, s1998-r9i1p1f1, s1999-r10i1p1f1, s1999-r1i1p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r7i1p1f1, s1999-r8i1p1f1, s1999-r9i1p1f1, s2000-r10i1p1f1, s2000-r1i1p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r7i1p1f1, s2000-r8i1p1f1, s2000-r9i1p1f1, s2001-r10i1p1f1, s2001-r1i1p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r7i1p1f1, s2001-r8i1p1f1, s2001-r9i1p1f1, s2002-r10i1p1f1, s2002-r1i1p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r7i1p1f1, s2002-r8i1p1f1, s2002-r9i1p1f1, s2003-r10i1p1f1, s2003-r1i1p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r7i1p1f1, s2003-r8i1p1f1, s2003-r9i1p1f1, s2004-r10i1p1f1, s2004-r1i1p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r7i1p1f1, s2004-r8i1p1f1, s2004-r9i1p1f1, s2005-r10i1p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r7i1p1f1, s2005-r8i1p1f1, s2005-r9i1p1f1, s2006-r10i1p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r7i1p1f1, s2006-r8i1p1f1, s2006-r9i1p1f1, s2007-r10i1p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r7i1p1f1, s2007-r8i1p1f1, s2007-r9i1p1f1, s2008-r10i1p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r7i1p1f1, s2008-r8i1p1f1, s2008-r9i1p1f1, s2009-r10i1p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r7i1p1f1, s2009-r8i1p1f1, s2009-r9i1p1f1, s2010-r10i1p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r7i1p1f1, s2010-r8i1p1f1, s2010-r9i1p1f1, s2011-r10i1p1f1, s2011-r1i1p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r7i1p1f1, s2011-r8i1p1f1, s2011-r9i1p1f1, s2012-r10i1p1f1, s2012-r1i1p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r7i1p1f1, s2012-r8i1p1f1, s2012-r9i1p1f1, s2013-r10i1p1f1, s2013-r1i1p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r7i1p1f1, s2013-r8i1p1f1, s2013-r9i1p1f1, s2014-r10i1p1f1, s2014-r1i1p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r7i1p1f1, s2014-r8i1p1f1, s2014-r9i1p1f1, s2015-r10i1p1f1, s2015-r1i1p1f1, s2015-r2i1p1f1, s2015-r3i1p1f1, s2015-r4i1p1f1, s2015-r5i1p1f1, s2015-r6i1p1f1, s2015-r7i1p1f1, s2015-r8i1p1f1, s2015-r9i1p1f1, s2016-r10i1p1f1, s2016-r1i1p1f1, s2016-r2i1p1f1, s2016-r3i1p1f1, s2016-r4i1p1f1, s2016-r5i1p1f1, s2016-r6i1p1f1, s2016-r7i1p1f1, s2016-r8i1p1f1, s2016-r9i1p1f1, s2017-r10i1p1f1, s2017-r1i1p1f1, s2017-r2i1p1f1, s2017-r3i1p1f1, s2017-r4i1p1f1, s2017-r5i1p1f1, s2017-r6i1p1f1, s2017-r7i1p1f1, s2017-r8i1p1f1, s2017-r9i1p1f1, s2018-r10i1p1f1, s2018-r1i1p1f1, s2018-r2i1p1f1, s2018-r3i1p1f1, s2018-r4i1p1f1, s2018-r5i1p1f1, s2018-r6i1p1f1, s2018-r7i1p1f1, s2018-r8i1p1f1, s2018-r9i1p1f1, s2019-r10i1p1f1, s2019-r1i1p1f1, s2019-r2i1p1f1, s2019-r3i1p1f1, s2019-r4i1p1f1, s2019-r5i1p1f1, s2019-r6i1p1f1, s2019-r7i1p1f1, s2019-r8i1p1f1 and s2019-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33732, "uuid": "34fad6a87aa64cc4b18af0822466ebb7", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, LImon, Lmon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33726, "uuid": "a1ce1fbbf0d04b36ac77f918e7ba7933", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33983, "uuid": "a1d204d7888f4017b64e58fd56e0b504", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"dcppB-forecast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"forecast initialized from observations with forcing from ssp245\" (dcppB-forecast) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: s2020-r10i1p1f1, s2020-r1i1p1f1, s2020-r2i1p1f1, s2020-r3i1p1f1, s2020-r4i1p1f1, s2020-r5i1p1f1, s2020-r6i1p1f1, s2020-r7i1p1f1, s2020-r8i1p1f1 and s2020-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31118, "uuid": "97af322bfed54a75916267ef519b9b4e", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-SR5 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136392, 136394, 136395, 136396, 136397, 136398, 136399, 136400, 136393 ], "onlineresource_set": [ 39675, 39676, 49135 ], "project_set": [ 29255 ] }, { "ob_id": 31146, "uuid": "e0a21d089a0d4eba8465e63306a66a6d", "short_code": "coll", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-OM4p5B model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-OM4p5B model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-OM4p5B", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31144, "uuid": "b73492b9733b4fe9a7eeba305d24fb3d", "short_code": "ob", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-OM4p5B model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-OM4p5B model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 136533, 136535, 136536, 136537, 136538, 136539, 136540, 136541, 136534 ], "onlineresource_set": [ 39751, 39752, 49128 ], "project_set": [ 28633 ] }, { "ob_id": 31276, "uuid": "2917b757d3994325b05febaa0cf239bd", "short_code": "coll", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-CM-1-1-MR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31274, "uuid": "688c36b232874958b1e84edc273cced4", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, E3hr, E3hrPt, Eday, Oday, Odec, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31278, "uuid": "07aad8b007634cd09a0e605e5a1a1820", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31281, "uuid": "9135cd6efc344542b16abe25929c268e", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Alfred Wegener Institute (AWI) AWI-CM-1-1-MR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrPlev, Amon, E3hr, E3hrPt, Eday, Oday, Odec, Omon, SIday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 137237, 137239, 137240, 137241, 137242, 137243, 137244, 137245, 137238 ], "onlineresource_set": [ 40155, 40154, 49109 ], "project_set": [ 30655 ] }, { "ob_id": 31327, "uuid": "4a1e08e96bd54d18814dcf3b5520193d", "short_code": "coll", "title": "SR1.5 Summary for Policymakers", "abstract": "The Intergovernmental Panel on Climate Change (IPCC) Special Report: Global Warming of 1.5 degree C (SR1.5) Summary for Policymakers (SPM) presents the key findings of the Special Report, based on the assessment of the available scientific, technical and socio-economic literature relevant to global warming of 1.5°C and for the comparison between global warming of 1.5°C and 2°C above pre-industrial levels.", "keywords": "IPCC-DDC, IPCC, AR6, SR1.5, SPM", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 30497, "uuid": "9002e9bbfef04c8d88ca6c921579f3c9", "short_code": "ob", "title": "Summary for Policymakers of the IPCC Special Report: Global Warming of 1.5°C - data for Figure SPM.1 (v20200602)", "abstract": "Data for Figure SPM.1 from the Summary for Policymakers (SPM) of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Global Warming of 1.5°C.\r\n\r\nFigure SPM.1 relates global mean surface temperature to cumulative emissions of CO2 and visualises the probability of limiting global warming to 1.5°C. \r\n\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nLinks to Figure SPM.1 in the IPCC Special Report on Global Warming of 1.5°C, an interactive version of the figure, and supporting information in the Supplementary Material for Chapter 1 (Section 1.SM.6) can be found in the Related Documents section of this catalogue record. \r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has four panels, with data provided for panels (a), (b) and (d) in subdirectories named panel_a, panel_b and panel_d. Panel (c) data can be computed from panel (b) data so are not provided here.\r\n\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nThe dataset contains global time-series data from 1960-2100 for:\r\n - Observed global temperature change (1960-2017). \r\n - Historical anthropogenic global warming (1960-2017).\r\n - Modelled warming responses to global emission and radiative forcing pathways (2018-2100).\r\n\r\nThe dataset also contains global time-series data for carbon dioxide (CO2) and non-CO2 radiative forcing from 1960-2100 for:\r\n - Historical global net CO2 emissions (1960-2017).\r\n - Stylized global net CO2 emission pathways (2018-2100).\r\n - Historical global cumulative net CO2 emissions (1960-2017).\r\n - Stylized global cumulative net CO2 emission pathways (1960-2100).\r\n - Historical global non-CO2 radiative forcing pathways (1960-2017).\r\n - Global non-CO2 radiative forcing pathways (2018-2100).\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure \r\n---------------------------------------------------\r\nPanel a:\r\n - Data file: panel_a/temps_hist.csv (monthly data, 1850-2017); relates to the left part showing observed global mean surface temperature change (grey line) and estimated anthropogenic global warming (orange line with shading the assessed likely range). \r\n - Data files: panel_a/temps_blue.csv, panel_a/temps_grey.csv, panel_a/temps_purple.csv (yearly data, 2018-2100, the lower and upper bound variables are plotted). These relate to the right part showing the likely range of warming responses (grey, blue and purple plumes) for different combinations of global net CO2 emission and net non-CO2 radiative forcing pathways. \r\nPanel b:\r\n - Data file: panel_b/gcp_out.csv (yearly data, 1960-2017); relates to the left part showing historical global net CO2 emissions (grey line). \r\n - Data file: panel_b/CO2_ems.csv (yearly data, 2018-2100, values in GtC rather than GtCO2); relates to the right part showing two stylized future global net CO2 emission pathways (grey land blue lines). \r\nPanel d:\r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 1960-2017, variable nonCO2RF_grey is plotted); relates to the left part showing historical global net non-CO2 radiative forcing. \r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 2018-2100, variables nonCO2RF_grey and nonCO2RF_purple are plotted); relates to the right part showing two stylized future global net non-CO2 radiative forcing pathways (grey and purple lines)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 139600, 139601, 139602, 139603, 139604, 139606, 139607, 139609, 139605, 139608 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 31367, "uuid": "2efd4a6a45e34a2a97fb1379124a7171", "short_code": "coll", "title": "WCRP CMIP6: Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, DWD, MPI-ESM1-2-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31365, "uuid": "e58fa213708e4fd69f1d3a62bc8b214d", "short_code": "ob", "title": "WCRP CMIP6: Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31369, "uuid": "ef1851d2c3e94885a68f2fc3fd60bd8e", "short_code": "ob", "title": "WCRP CMIP6: Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Deutscher Wetterdienst (DWD) MPI-ESM1-2-HR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Eday, LImon, Lmon, Oday, Ofx and fx. The runs included the ensemble member: r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 137741, 137743, 137744, 137745, 137746, 137747, 137748, 137749, 137742 ], "onlineresource_set": [ 40495, 40496, 49110 ], "project_set": [ 31364 ] }, { "ob_id": 31374, "uuid": "50c910be037a4fed9dd266493e2c087c", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34347, "uuid": "8592c7058c714d0ebd8b4613388acda1", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"effective radiative forcing by 4xCO2\" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38540, "uuid": "cbaa91bf0a0149b89baa114adb215c62", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"dcppA-hindcast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, AERday, Amon and day. The runs included the ensemble members: s1960-r10i1p1f1, s1960-r10i2p1f1, s1960-r1i1p1f1, s1960-r1i4p1f1, s1960-r2i1p1f1, s1960-r3i1p1f1, s1960-r4i1p1f1, s1960-r5i1p1f1, s1960-r6i1p1f1, s1960-r6i2p1f1, s1960-r7i1p1f1, s1960-r7i2p1f1, s1960-r8i1p1f1, s1960-r8i2p1f1, s1960-r9i1p1f1, s1960-r9i2p1f1, s1961-r10i1p1f1, s1961-r10i2p1f1, s1961-r1i1p1f1, s1961-r1i4p1f1, s1961-r2i1p1f1, s1961-r3i1p1f1, s1961-r4i1p1f1, s1961-r5i1p1f1, s1961-r6i1p1f1, s1961-r6i2p1f1, s1961-r7i1p1f1, s1961-r7i2p1f1, s1961-r8i1p1f1, s1961-r8i2p1f1, s1961-r9i1p1f1, s1961-r9i2p1f1, s1962-r10i1p1f1, s1962-r10i2p1f1, s1962-r1i1p1f1, s1962-r1i4p1f1, s1962-r2i1p1f1, s1962-r3i1p1f1, s1962-r4i1p1f1, s1962-r5i1p1f1, s1962-r6i1p1f1, s1962-r6i2p1f1, s1962-r7i1p1f1, s1962-r7i2p1f1, s1962-r8i1p1f1, s1962-r8i2p1f1, s1962-r9i1p1f1, s1962-r9i2p1f1, s1963-r10i1p1f1, s1963-r10i2p1f1, s1963-r1i1p1f1, s1963-r1i4p1f1, s1963-r2i1p1f1, s1963-r3i1p1f1, s1963-r4i1p1f1, s1963-r5i1p1f1, s1963-r6i1p1f1, s1963-r6i2p1f1, s1963-r7i1p1f1, s1963-r7i2p1f1, s1963-r8i1p1f1, s1963-r8i2p1f1, s1963-r9i1p1f1, s1963-r9i2p1f1, s1964-r10i1p1f1, s1964-r10i2p1f1, s1964-r1i1p1f1, s1964-r1i4p1f1, s1964-r2i1p1f1, s1964-r3i1p1f1, s1964-r4i1p1f1, s1964-r5i1p1f1, s1964-r6i1p1f1, s1964-r6i2p1f1, s1964-r7i1p1f1, s1964-r7i2p1f1, s1964-r8i1p1f1, s1964-r8i2p1f1, s1964-r9i1p1f1, s1964-r9i2p1f1, s1965-r10i1p1f1, s1965-r10i2p1f1, s1965-r1i1p1f1, s1965-r1i4p1f1, s1965-r2i1p1f1, s1965-r3i1p1f1, s1965-r4i1p1f1, s1965-r5i1p1f1, s1965-r6i1p1f1, s1965-r6i2p1f1, s1965-r7i1p1f1, s1965-r7i2p1f1, s1965-r8i1p1f1, s1965-r8i2p1f1, s1965-r9i1p1f1, s1965-r9i2p1f1, s1966-r10i1p1f1, s1966-r10i2p1f1, s1966-r1i1p1f1, s1966-r1i4p1f1, s1966-r2i1p1f1, s1966-r3i1p1f1, s1966-r4i1p1f1, s1966-r5i1p1f1, s1966-r6i1p1f1, s1966-r6i2p1f1, s1966-r7i1p1f1, s1966-r7i2p1f1, s1966-r8i1p1f1, s1966-r8i2p1f1, s1966-r9i1p1f1, s1966-r9i2p1f1, s1967-r10i1p1f1, s1967-r10i2p1f1, s1967-r1i1p1f1, s1967-r1i4p1f1, s1967-r2i1p1f1, s1967-r3i1p1f1, s1967-r4i1p1f1, s1967-r5i1p1f1, s1967-r6i1p1f1, s1967-r6i2p1f1, s1967-r7i1p1f1, s1967-r7i2p1f1, s1967-r8i1p1f1, s1967-r8i2p1f1, s1967-r9i1p1f1, s1967-r9i2p1f1, s1968-r10i1p1f1, s1968-r10i2p1f1, s1968-r1i1p1f1, s1968-r1i4p1f1, s1968-r2i1p1f1, s1968-r3i1p1f1, s1968-r4i1p1f1, s1968-r5i1p1f1, s1968-r6i1p1f1, s1968-r6i2p1f1, s1968-r7i1p1f1, s1968-r7i2p1f1, s1968-r8i1p1f1, s1968-r8i2p1f1, s1968-r9i1p1f1, s1968-r9i2p1f1, s1969-r10i1p1f1, s1969-r10i2p1f1, s1969-r1i1p1f1, s1969-r1i4p1f1, s1969-r2i1p1f1, s1969-r3i1p1f1, s1969-r4i1p1f1, s1969-r5i1p1f1, s1969-r6i1p1f1, s1969-r6i2p1f1, s1969-r7i1p1f1, s1969-r7i2p1f1, s1969-r8i1p1f1, s1969-r8i2p1f1, s1969-r9i1p1f1, s1969-r9i2p1f1, s1970-r10i1p1f1, s1970-r10i2p1f1, s1970-r1i1p1f1, s1970-r1i4p1f1, s1970-r2i1p1f1, s1970-r3i1p1f1, s1970-r4i1p1f1, s1970-r5i1p1f1, s1970-r6i1p1f1, s1970-r6i2p1f1, s1970-r7i1p1f1, s1970-r7i2p1f1, s1970-r8i1p1f1, s1970-r8i2p1f1, s1970-r9i1p1f1, s1970-r9i2p1f1, s1971-r10i1p1f1, s1971-r10i2p1f1, s1971-r1i1p1f1, s1971-r1i4p1f1, s1971-r2i1p1f1, s1971-r3i1p1f1, s1971-r4i1p1f1, s1971-r5i1p1f1, s1971-r6i1p1f1, s1971-r6i2p1f1, s1971-r7i1p1f1, s1971-r7i2p1f1, s1971-r8i1p1f1, s1971-r8i2p1f1, s1971-r9i1p1f1, s1971-r9i2p1f1, s1972-r10i1p1f1, s1972-r10i2p1f1, s1972-r1i1p1f1, s1972-r1i4p1f1, s1972-r2i1p1f1, s1972-r3i1p1f1, s1972-r4i1p1f1, s1972-r5i1p1f1, s1972-r6i1p1f1, s1972-r6i2p1f1, s1972-r7i1p1f1, s1972-r7i2p1f1, s1972-r8i1p1f1, s1972-r8i2p1f1, s1972-r9i1p1f1, s1972-r9i2p1f1, s1973-r10i1p1f1, s1973-r10i2p1f1, s1973-r1i1p1f1, s1973-r1i4p1f1, s1973-r2i1p1f1, s1973-r3i1p1f1, s1973-r4i1p1f1, s1973-r5i1p1f1, s1973-r6i1p1f1, s1973-r6i2p1f1, s1973-r7i1p1f1, s1973-r7i2p1f1, s1973-r8i1p1f1, s1973-r8i2p1f1, s1973-r9i1p1f1, s1973-r9i2p1f1, s1974-r10i1p1f1, s1974-r10i2p1f1, s1974-r1i1p1f1, s1974-r1i4p1f1, s1974-r2i1p1f1, s1974-r3i1p1f1, s1974-r4i1p1f1, s1974-r5i1p1f1, s1974-r6i1p1f1, s1974-r6i2p1f1, s1974-r7i1p1f1, s1974-r7i2p1f1, s1974-r8i1p1f1, s1974-r8i2p1f1, s1974-r9i1p1f1, s1974-r9i2p1f1, s1975-r10i1p1f1, s1975-r10i2p1f1, s1975-r1i1p1f1, s1975-r1i4p1f1, s1975-r2i1p1f1, s1975-r3i1p1f1, s1975-r4i1p1f1, s1975-r5i1p1f1, s1975-r6i1p1f1, s1975-r6i2p1f1, s1975-r7i1p1f1, s1975-r7i2p1f1, s1975-r8i1p1f1, s1975-r8i2p1f1, s1975-r9i1p1f1, s1975-r9i2p1f1, s1976-r10i1p1f1, s1976-r10i2p1f1, s1976-r1i1p1f1, s1976-r1i4p1f1, s1976-r2i1p1f1, s1976-r3i1p1f1, s1976-r4i1p1f1, s1976-r5i1p1f1, s1976-r6i1p1f1, s1976-r6i2p1f1, s1976-r7i1p1f1, s1976-r7i2p1f1, s1976-r8i1p1f1, s1976-r8i2p1f1, s1976-r9i1p1f1, s1976-r9i2p1f1, s1977-r10i1p1f1, s1977-r10i2p1f1, s1977-r1i1p1f1, s1977-r1i4p1f1, s1977-r2i1p1f1, s1977-r3i1p1f1, s1977-r4i1p1f1, s1977-r5i1p1f1, s1977-r6i1p1f1, s1977-r6i2p1f1, s1977-r7i1p1f1, s1977-r7i2p1f1, s1977-r8i1p1f1, s1977-r8i2p1f1, s1977-r9i1p1f1, s1977-r9i2p1f1, s1978-r10i1p1f1, s1978-r10i2p1f1, s1978-r1i1p1f1, s1978-r1i4p1f1, s1978-r2i1p1f1, s1978-r3i1p1f1, s1978-r4i1p1f1, s1978-r5i1p1f1, s1978-r6i1p1f1, s1978-r6i2p1f1, s1978-r7i1p1f1, s1978-r7i2p1f1, s1978-r8i1p1f1, s1978-r8i2p1f1, s1978-r9i1p1f1, s1978-r9i2p1f1, s1979-r10i1p1f1, s1979-r10i2p1f1, s1979-r1i1p1f1, s1979-r1i4p1f1, s1979-r2i1p1f1, s1979-r3i1p1f1, s1979-r4i1p1f1, s1979-r5i1p1f1, s1979-r6i1p1f1, s1979-r6i2p1f1, s1979-r7i1p1f1, s1979-r7i2p1f1, s1979-r8i1p1f1, s1979-r8i2p1f1, s1979-r9i1p1f1, s1979-r9i2p1f1, s1980-r10i1p1f1, s1980-r10i2p1f1, s1980-r1i1p1f1, s1980-r1i4p1f1, s1980-r2i1p1f1, s1980-r3i1p1f1, s1980-r4i1p1f1, s1980-r5i1p1f1, s1980-r6i1p1f1, s1980-r6i2p1f1, s1980-r7i1p1f1, s1980-r7i2p1f1, s1980-r8i1p1f1, s1980-r8i2p1f1, s1980-r9i1p1f1, s1980-r9i2p1f1, s1981-r10i1p1f1, s1981-r10i2p1f1, s1981-r1i1p1f1, s1981-r1i4p1f1, s1981-r2i1p1f1, s1981-r3i1p1f1, s1981-r4i1p1f1, s1981-r5i1p1f1, s1981-r6i1p1f1, s1981-r6i2p1f1, s1981-r7i1p1f1, s1981-r7i2p1f1, s1981-r8i1p1f1, s1981-r8i2p1f1, s1981-r9i1p1f1, s1981-r9i2p1f1, s1982-r10i1p1f1, s1982-r10i2p1f1, s1982-r1i1p1f1, s1982-r1i4p1f1, s1982-r2i1p1f1, s1982-r3i1p1f1, s1982-r4i1p1f1, s1982-r5i1p1f1, s1982-r6i1p1f1, s1982-r6i2p1f1, s1982-r7i1p1f1, s1982-r7i2p1f1, s1982-r8i1p1f1, s1982-r8i2p1f1, s1982-r9i1p1f1, s1982-r9i2p1f1, s1983-r10i1p1f1, s1983-r10i2p1f1, s1983-r1i1p1f1, s1983-r1i4p1f1, s1983-r2i1p1f1, s1983-r3i1p1f1, s1983-r4i1p1f1, s1983-r5i1p1f1, s1983-r6i1p1f1, s1983-r6i2p1f1, s1983-r7i1p1f1, s1983-r7i2p1f1, s1983-r8i1p1f1, s1983-r8i2p1f1, s1983-r9i1p1f1, s1983-r9i2p1f1, s1984-r10i1p1f1, s1984-r10i2p1f1, s1984-r1i1p1f1, s1984-r1i4p1f1, s1984-r2i1p1f1, s1984-r3i1p1f1, s1984-r4i1p1f1, s1984-r5i1p1f1, s1984-r6i1p1f1, s1984-r6i2p1f1, s1984-r7i1p1f1, s1984-r7i2p1f1, s1984-r8i1p1f1, s1984-r8i2p1f1, s1984-r9i1p1f1, s1984-r9i2p1f1, s1985-r10i1p1f1, s1985-r10i2p1f1, s1985-r1i1p1f1, s1985-r1i4p1f1, s1985-r2i1p1f1, s1985-r3i1p1f1, s1985-r4i1p1f1, s1985-r5i1p1f1, s1985-r6i1p1f1, s1985-r6i2p1f1, s1985-r7i1p1f1, s1985-r7i2p1f1, s1985-r8i1p1f1, s1985-r8i2p1f1, s1985-r9i1p1f1, s1985-r9i2p1f1, s1986-r10i1p1f1, s1986-r10i2p1f1, s1986-r1i1p1f1, s1986-r1i4p1f1, s1986-r2i1p1f1, s1986-r3i1p1f1, s1986-r4i1p1f1, s1986-r5i1p1f1, s1986-r6i1p1f1, s1986-r6i2p1f1, s1986-r7i1p1f1, s1986-r7i2p1f1, s1986-r8i1p1f1, s1986-r8i2p1f1, s1986-r9i1p1f1, s1986-r9i2p1f1, s1987-r10i1p1f1, s1987-r10i2p1f1, s1987-r1i1p1f1, s1987-r1i4p1f1, s1987-r2i1p1f1, s1987-r3i1p1f1, s1987-r4i1p1f1, s1987-r5i1p1f1, s1987-r6i1p1f1, s1987-r6i2p1f1, s1987-r7i1p1f1, s1987-r7i2p1f1, s1987-r8i1p1f1, s1987-r8i2p1f1, s1987-r9i1p1f1, s1987-r9i2p1f1, s1988-r10i1p1f1, s1988-r10i2p1f1, s1988-r1i1p1f1, s1988-r1i4p1f1, s1988-r2i1p1f1, s1988-r3i1p1f1, s1988-r4i1p1f1, s1988-r5i1p1f1, s1988-r6i1p1f1, s1988-r6i2p1f1, s1988-r7i1p1f1, s1988-r7i2p1f1, s1988-r8i1p1f1, s1988-r8i2p1f1, s1988-r9i1p1f1, s1988-r9i2p1f1, s1989-r10i1p1f1, s1989-r10i2p1f1, s1989-r1i1p1f1, s1989-r1i4p1f1, s1989-r2i1p1f1, s1989-r3i1p1f1, s1989-r4i1p1f1, s1989-r5i1p1f1, s1989-r6i1p1f1, s1989-r6i2p1f1, s1989-r7i1p1f1, s1989-r7i2p1f1, s1989-r8i1p1f1, s1989-r8i2p1f1, s1989-r9i1p1f1, s1989-r9i2p1f1, s1990-r10i1p1f1, s1990-r10i2p1f1, s1990-r1i1p1f1, s1990-r1i4p1f1, s1990-r2i1p1f1, s1990-r3i1p1f1, s1990-r4i1p1f1, s1990-r5i1p1f1, s1990-r6i1p1f1, s1990-r6i2p1f1, s1990-r7i1p1f1, s1990-r7i2p1f1, s1990-r8i1p1f1, s1990-r8i2p1f1, s1990-r9i1p1f1, s1990-r9i2p1f1, s1991-r10i1p1f1, s1991-r10i2p1f1, s1991-r1i1p1f1, s1991-r1i4p1f1, s1991-r2i1p1f1, s1991-r3i1p1f1, s1991-r4i1p1f1, s1991-r5i1p1f1, s1991-r6i1p1f1, s1991-r6i2p1f1, s1991-r7i1p1f1, s1991-r7i2p1f1, s1991-r8i1p1f1, s1991-r8i2p1f1, s1991-r9i1p1f1, s1991-r9i2p1f1, s1992-r10i1p1f1, s1992-r10i2p1f1, s1992-r1i1p1f1, s1992-r1i4p1f1, s1992-r2i1p1f1, s1992-r3i1p1f1, s1992-r4i1p1f1, s1992-r5i1p1f1, s1992-r6i1p1f1, s1992-r6i2p1f1, s1992-r7i1p1f1, s1992-r7i2p1f1, s1992-r8i1p1f1, s1992-r8i2p1f1, s1992-r9i1p1f1, s1992-r9i2p1f1, s1993-r10i1p1f1, s1993-r10i2p1f1, s1993-r1i1p1f1, s1993-r1i4p1f1, s1993-r2i1p1f1, s1993-r3i1p1f1, s1993-r4i1p1f1, s1993-r5i1p1f1, s1993-r6i1p1f1, s1993-r6i2p1f1, s1993-r7i1p1f1, s1993-r7i2p1f1, s1993-r8i1p1f1, s1993-r8i2p1f1, s1993-r9i1p1f1, s1993-r9i2p1f1, s1994-r10i1p1f1, s1994-r10i2p1f1, s1994-r1i1p1f1, s1994-r1i4p1f1, s1994-r2i1p1f1, s1994-r3i1p1f1, s1994-r4i1p1f1, s1994-r5i1p1f1, s1994-r6i1p1f1, s1994-r6i2p1f1, s1994-r7i1p1f1, s1994-r7i2p1f1, s1994-r8i1p1f1, s1994-r8i2p1f1, s1994-r9i1p1f1, s1994-r9i2p1f1, s1995-r10i1p1f1, s1995-r10i2p1f1, s1995-r1i1p1f1, s1995-r1i4p1f1, s1995-r2i1p1f1, s1995-r3i1p1f1, s1995-r4i1p1f1, s1995-r5i1p1f1, s1995-r6i1p1f1, s1995-r6i2p1f1, s1995-r7i1p1f1, s1995-r7i2p1f1, s1995-r8i1p1f1, s1995-r8i2p1f1, s1995-r9i1p1f1, s1995-r9i2p1f1, s1996-r10i1p1f1, s1996-r10i2p1f1, s1996-r1i1p1f1, s1996-r1i4p1f1, s1996-r2i1p1f1, s1996-r3i1p1f1, s1996-r4i1p1f1, s1996-r5i1p1f1, s1996-r6i1p1f1, s1996-r6i2p1f1, s1996-r7i1p1f1, s1996-r7i2p1f1, s1996-r8i1p1f1, s1996-r8i2p1f1, s1996-r9i1p1f1, s1996-r9i2p1f1, s1997-r10i1p1f1, s1997-r10i2p1f1, s1997-r1i1p1f1, s1997-r1i4p1f1, s1997-r2i1p1f1, s1997-r3i1p1f1, s1997-r4i1p1f1, s1997-r5i1p1f1, s1997-r6i1p1f1, s1997-r6i2p1f1, s1997-r7i1p1f1, s1997-r7i2p1f1, s1997-r8i1p1f1, s1997-r8i2p1f1, s1997-r9i1p1f1, s1997-r9i2p1f1, s1998-r10i1p1f1, s1998-r10i2p1f1, s1998-r1i1p1f1, s1998-r1i4p1f1, s1998-r2i1p1f1, s1998-r3i1p1f1, s1998-r4i1p1f1, s1998-r5i1p1f1, s1998-r6i1p1f1, s1998-r6i2p1f1, s1998-r7i1p1f1, s1998-r7i2p1f1, s1998-r8i1p1f1, s1998-r8i2p1f1, s1998-r9i1p1f1, s1998-r9i2p1f1, s1999-r10i1p1f1, s1999-r10i2p1f1, s1999-r1i1p1f1, s1999-r1i4p1f1, s1999-r2i1p1f1, s1999-r3i1p1f1, s1999-r4i1p1f1, s1999-r5i1p1f1, s1999-r6i1p1f1, s1999-r6i2p1f1, s1999-r7i1p1f1, s1999-r7i2p1f1, s1999-r8i1p1f1, s1999-r8i2p1f1, s1999-r9i1p1f1, s1999-r9i2p1f1, s2000-r10i1p1f1, s2000-r10i2p1f1, s2000-r1i1p1f1, s2000-r1i4p1f1, s2000-r2i1p1f1, s2000-r3i1p1f1, s2000-r4i1p1f1, s2000-r5i1p1f1, s2000-r6i1p1f1, s2000-r6i2p1f1, s2000-r7i1p1f1, s2000-r7i2p1f1, s2000-r8i1p1f1, s2000-r8i2p1f1, s2000-r9i1p1f1, s2000-r9i2p1f1, s2001-r10i1p1f1, s2001-r10i2p1f1, s2001-r1i1p1f1, s2001-r1i4p1f1, s2001-r2i1p1f1, s2001-r3i1p1f1, s2001-r4i1p1f1, s2001-r5i1p1f1, s2001-r6i1p1f1, s2001-r6i2p1f1, s2001-r7i1p1f1, s2001-r7i2p1f1, s2001-r8i1p1f1, s2001-r8i2p1f1, s2001-r9i1p1f1, s2001-r9i2p1f1, s2002-r10i1p1f1, s2002-r10i2p1f1, s2002-r1i1p1f1, s2002-r1i4p1f1, s2002-r2i1p1f1, s2002-r3i1p1f1, s2002-r4i1p1f1, s2002-r5i1p1f1, s2002-r6i1p1f1, s2002-r6i2p1f1, s2002-r7i1p1f1, s2002-r7i2p1f1, s2002-r8i1p1f1, s2002-r8i2p1f1, s2002-r9i1p1f1, s2002-r9i2p1f1, s2003-r10i1p1f1, s2003-r10i2p1f1, s2003-r1i1p1f1, s2003-r1i4p1f1, s2003-r2i1p1f1, s2003-r3i1p1f1, s2003-r4i1p1f1, s2003-r5i1p1f1, s2003-r6i1p1f1, s2003-r6i2p1f1, s2003-r7i1p1f1, s2003-r7i2p1f1, s2003-r8i1p1f1, s2003-r8i2p1f1, s2003-r9i1p1f1, s2003-r9i2p1f1, s2004-r10i1p1f1, s2004-r10i2p1f1, s2004-r1i1p1f1, s2004-r1i4p1f1, s2004-r2i1p1f1, s2004-r3i1p1f1, s2004-r4i1p1f1, s2004-r5i1p1f1, s2004-r6i1p1f1, s2004-r6i2p1f1, s2004-r7i1p1f1, s2004-r7i2p1f1, s2004-r8i1p1f1, s2004-r8i2p1f1, s2004-r9i1p1f1, s2004-r9i2p1f1, s2005-r10i1p1f1, s2005-r10i2p1f1, s2005-r1i1p1f1, s2005-r2i1p1f1, s2005-r3i1p1f1, s2005-r4i1p1f1, s2005-r5i1p1f1, s2005-r6i1p1f1, s2005-r6i2p1f1, s2005-r7i1p1f1, s2005-r7i2p1f1, s2005-r8i1p1f1, s2005-r8i2p1f1, s2005-r9i1p1f1, s2005-r9i2p1f1, s2006-r10i1p1f1, s2006-r10i2p1f1, s2006-r1i1p1f1, s2006-r2i1p1f1, s2006-r3i1p1f1, s2006-r4i1p1f1, s2006-r5i1p1f1, s2006-r6i1p1f1, s2006-r6i2p1f1, s2006-r7i1p1f1, s2006-r7i2p1f1, s2006-r8i1p1f1, s2006-r8i2p1f1, s2006-r9i1p1f1, s2006-r9i2p1f1, s2007-r10i1p1f1, s2007-r10i2p1f1, s2007-r1i1p1f1, s2007-r2i1p1f1, s2007-r3i1p1f1, s2007-r4i1p1f1, s2007-r5i1p1f1, s2007-r6i1p1f1, s2007-r6i2p1f1, s2007-r7i1p1f1, s2007-r7i2p1f1, s2007-r8i1p1f1, s2007-r8i2p1f1, s2007-r9i1p1f1, s2007-r9i2p1f1, s2008-r10i1p1f1, s2008-r10i2p1f1, s2008-r1i1p1f1, s2008-r2i1p1f1, s2008-r3i1p1f1, s2008-r4i1p1f1, s2008-r5i1p1f1, s2008-r6i1p1f1, s2008-r6i2p1f1, s2008-r7i1p1f1, s2008-r7i2p1f1, s2008-r8i1p1f1, s2008-r8i2p1f1, s2008-r9i1p1f1, s2008-r9i2p1f1, s2009-r10i1p1f1, s2009-r10i2p1f1, s2009-r1i1p1f1, s2009-r2i1p1f1, s2009-r3i1p1f1, s2009-r4i1p1f1, s2009-r5i1p1f1, s2009-r6i1p1f1, s2009-r6i2p1f1, s2009-r7i1p1f1, s2009-r7i2p1f1, s2009-r8i1p1f1, s2009-r8i2p1f1, s2009-r9i1p1f1, s2009-r9i2p1f1, s2010-r10i1p1f1, s2010-r10i2p1f1, s2010-r1i1p1f1, s2010-r2i1p1f1, s2010-r3i1p1f1, s2010-r4i1p1f1, s2010-r5i1p1f1, s2010-r6i1p1f1, s2010-r6i2p1f1, s2010-r7i1p1f1, s2010-r7i2p1f1, s2010-r8i1p1f1, s2010-r8i2p1f1, s2010-r9i1p1f1, s2010-r9i2p1f1, s2011-r10i1p1f1, s2011-r10i2p1f1, s2011-r1i1p1f1, s2011-r1i4p1f1, s2011-r2i1p1f1, s2011-r3i1p1f1, s2011-r4i1p1f1, s2011-r5i1p1f1, s2011-r6i1p1f1, s2011-r6i2p1f1, s2011-r7i1p1f1, s2011-r7i2p1f1, s2011-r8i1p1f1, s2011-r8i2p1f1, s2011-r9i1p1f1, s2011-r9i2p1f1, s2012-r10i1p1f1, s2012-r10i2p1f1, s2012-r1i1p1f1, s2012-r1i4p1f1, s2012-r2i1p1f1, s2012-r3i1p1f1, s2012-r4i1p1f1, s2012-r5i1p1f1, s2012-r6i1p1f1, s2012-r6i2p1f1, s2012-r7i1p1f1, s2012-r7i2p1f1, s2012-r8i1p1f1, s2012-r8i2p1f1, s2012-r9i1p1f1, s2012-r9i2p1f1, s2013-r10i1p1f1, s2013-r10i2p1f1, s2013-r1i1p1f1, s2013-r1i4p1f1, s2013-r2i1p1f1, s2013-r3i1p1f1, s2013-r4i1p1f1, s2013-r5i1p1f1, s2013-r6i1p1f1, s2013-r6i2p1f1, s2013-r7i1p1f1, s2013-r7i2p1f1, s2013-r8i1p1f1, s2013-r8i2p1f1, s2013-r9i1p1f1, s2013-r9i2p1f1, s2014-r10i1p1f1, s2014-r10i2p1f1, s2014-r1i1p1f1, s2014-r1i4p1f1, s2014-r2i1p1f1, s2014-r3i1p1f1, s2014-r4i1p1f1, s2014-r5i1p1f1, s2014-r6i1p1f1, s2014-r6i2p1f1, s2014-r7i1p1f1, s2014-r7i2p1f1, s2014-r8i1p1f1, s2014-r8i2p1f1, s2014-r9i1p1f1, s2014-r9i2p1f1, s2015-r10i1p1f1, s2015-r10i2p1f1, s2015-r1i1p1f1, s2015-r1i4p1f1, s2015-r2i1p1f1, s2015-r3i1p1f1, s2015-r4i1p1f1, s2015-r5i1p1f1, s2015-r6i1p1f1, s2015-r6i2p1f1, s2015-r7i1p1f1, s2015-r7i2p1f1, s2015-r8i1p1f1, s2015-r8i2p1f1, s2015-r9i1p1f1, s2015-r9i2p1f1, s2016-r10i1p1f1, s2016-r10i2p1f1, s2016-r1i1p1f1, s2016-r1i4p1f1, s2016-r2i1p1f1, s2016-r3i1p1f1, s2016-r4i1p1f1, s2016-r5i1p1f1, s2016-r6i1p1f1, s2016-r6i2p1f1, s2016-r7i1p1f1, s2016-r7i2p1f1, s2016-r8i1p1f1, s2016-r8i2p1f1, s2016-r9i1p1f1, s2016-r9i2p1f1, s2017-r10i1p1f1, s2017-r10i2p1f1, s2017-r1i1p1f1, s2017-r1i4p1f1, s2017-r2i1p1f1, s2017-r3i1p1f1, s2017-r4i1p1f1, s2017-r5i1p1f1, s2017-r6i1p1f1, s2017-r6i2p1f1, s2017-r7i1p1f1, s2017-r7i2p1f1, s2017-r8i1p1f1, s2017-r8i2p1f1, s2017-r9i1p1f1, s2017-r9i2p1f1, s2018-r10i1p1f1, s2018-r1i1p1f1, s2018-r1i4p1f1, s2018-r2i1p1f1, s2018-r3i1p1f1, s2018-r4i1p1f1, s2018-r5i1p1f1, s2018-r6i1p1f1, s2018-r7i1p1f1, s2018-r8i1p1f1, s2018-r9i1p1f1 and s2019-r1i4p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 33766, "uuid": "d6e0c02eb7d546738d6620aa05893d5d", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Omon and day. The runs included the ensemble member: r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34272, "uuid": "430e6965817a4dba97e8e5509a241e37", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Ofx, Omon and Oyr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33808, "uuid": "14ca2574a76e4b2d843e94c5c7be6be4", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31372, "uuid": "fdf588322e3b4ba5a083a822e1b5ebbd", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequency: day. The runs included the ensemble member: r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34509, "uuid": "5181cc35968d4b6f824f53dacc312818", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp434\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"gap-filling scenario reaching 3.4 based on SSP4\" (ssp434) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r101i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34512, "uuid": "bcd2d7f025864027ae0ae76b5b78b470", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r101i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31376, "uuid": "41da8d4e2a2843049c4ec7d6b52a23c8", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequency: 3hr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31379, "uuid": "a66ea4a45396463fbaceb5dd4b1886b5", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble members: r12i1p1f1, r14i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r23i1p1f1, r24i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34269, "uuid": "03052e0327fe45d78781bcda6b1b7eb9", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Omon and Oyr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34353, "uuid": "7a81079b6e5746e89e540da4fc68a5b5", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-anthro\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"effective radiative forcing by present day anthropogenic agents\" (piClim-anthro) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 43955, "uuid": "75a1511105fd49ddb591340bdb783fd7", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 34362, "uuid": "a3bae854fb1644abbe8a32d398710ada", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-lu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"effective radiative forcing by present-day land use\" (piClim-lu) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34350, "uuid": "d963abaf773846ecb4bba431f3cd7fb2", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33986, "uuid": "229b7a8ccb8e43839422252048eb9958", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"dcppB-forecast\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"forecast initialized from observations with forcing from ssp245\" (dcppB-forecast) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, AERday, Amon and day. The runs included the ensemble members: s2018-r10i2p1f1, s2018-r6i2p1f1, s2018-r7i2p1f1, s2018-r8i2p1f1, s2018-r9i2p1f1, s2019-r10i1p1f1, s2019-r10i2p1f1, s2019-r1i1p1f1, s2019-r2i1p1f1, s2019-r3i1p1f1, s2019-r4i1p1f1, s2019-r5i1p1f1, s2019-r6i1p1f1, s2019-r6i2p1f1, s2019-r7i1p1f1, s2019-r7i2p1f1, s2019-r8i1p1f1, s2019-r8i2p1f1, s2019-r9i1p1f1, s2019-r9i2p1f1, s2020-r10i1p1f1, s2020-r1i1p1f1, s2020-r2i1p1f1, s2020-r3i1p1f1, s2020-r4i1p1f1, s2020-r5i1p1f1, s2020-r6i1p1f1, s2020-r7i1p1f1, s2020-r8i1p1f1 and s2020-r9i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34359, "uuid": "2edee495292548c6ad84e4a3de7043b2", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-ghg\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"effective radiative forcing by present-day greenhouse gases\" (piClim-ghg) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 31382, "uuid": "976fa74c1f3444d19133840bcf6b320f", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, Amon and day. The runs included the ensemble members: r1i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34356, "uuid": "ea4130db1fdf4e5191e7a5ad3d311b87", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 137873, 137906, 137938, 137970, 137971, 137972, 137973, 137974, 137874, 137907, 137939, 137908, 137940, 137875, 137941, 137876, 137909, 137942, 137910, 137877, 137911, 137943, 137878, 137944, 137912, 137879, 137880, 137945, 137913, 137881, 137946, 137914, 137882, 137915, 137947, 137916, 137883, 137948, 137884, 137949, 137917, 137918, 137885, 137950, 137951, 137886, 137919, 137952, 137920, 137887, 137888, 137921, 137953, 137922, 137954, 137889, 137955, 137923, 137890, 137956, 137924, 137891, 137892, 137957, 137925, 137958, 137926, 137893, 137927, 137959, 137894, 137895, 137960, 137928, 137896, 137929, 137961, 137962, 137930, 137897, 137963, 137931, 137898, 137899, 137932, 137964, 137900, 137965, 137933, 137901, 137966, 137934, 137902, 137935, 137967, 137936, 137968, 137903, 137937, 137904, 137969, 137905 ], "onlineresource_set": [ 40515, 40516, 49179 ], "project_set": [ 31015 ] }, { "ob_id": 31509, "uuid": "43cbc30e4e0d45629b106e67f87b6c75", "short_code": "coll", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, CAS-ESM2-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31507, "uuid": "7b05ce41e9064a398789806a81e5bec8", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34257, "uuid": "0f0a65267a864487bcbe1f5a5018c146", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33696, "uuid": "68fb216028344affa075a4dd4aa0ab7d", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34446, "uuid": "c9561924c3014ad4ba4efc7fdd159eb2", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34013, "uuid": "442c1749035d411e834338511283cad3", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"faf-all\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"control plus perturbative surface fluxes of momentum, heat and water into ocean\" (faf-all) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33702, "uuid": "9248487c2d9044baa0fd95acbc90cf87", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34022, "uuid": "36162aa165594880b1697f932a5febdc", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"faf-stress\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34443, "uuid": "22dd992a55ee46f29055fa6b95d54b94", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34449, "uuid": "68f767a2b26444aaa34c6ab57afbade4", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34016, "uuid": "07f9aca853a040c1a117d1396560be9c", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"faf-heat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34019, "uuid": "df393a7c29ab48419b08f0454a15eda4", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"faf-passiveheat\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"control plus surface flux of passive heat tracer into ocean\" (faf-passiveheat) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34025, "uuid": "5442e0b3e830446eb865d1adf4631722", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"faf-water\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33693, "uuid": "e125e1626b8e4726bf74416e37724aee", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34440, "uuid": "768dae6310624a028f6b3a5c23ecffdb", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33699, "uuid": "c790524d822d46a4b6f7dbd49507481e", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"AMIP\" (amip) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 139353, 139355, 139356, 139357, 139358, 139359, 139360, 139361, 139354 ], "onlineresource_set": [ 41097, 41098, 49148 ], "project_set": [ 30660 ] }, { "ob_id": 31782, "uuid": "24c0ad40790b4a5eaec28aeb6742085e", "short_code": "coll", "title": "__MUST_UPDATE__20200817204623__ Data from the Infrared Atmospheric Sounding Interferometer (IASI) on-board the Eumetsat Polar System (EPS) Metop-B Satellite", "abstract": "Data from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on-board the Eumetsat Polar System Metop-B satellite. The IASI is designed to measure the infrared spectrum emitted by the Earth.\n\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat.", "keywords": "", "publicationState": "working", "dataPublishedTime": "2011-06-11T13:59:26", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 112 ], "discoveryKeywords": [], "member": [ { "ob_id": 8304, "uuid": "bdb716a4594d1f938764081ac3fd6463", "short_code": "ob", "title": "Level 2 data from the IASI (Infrared Atmospheric Sounding Interferometer) instrument on board the Metop-B satellite", "abstract": "Level 2 data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on board the Eumetsat EPS Metop-B satellite. IASI is designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry." }, { "ob_id": 8296, "uuid": "0092c4fe29f76c1b99b4dc19133f361a", "short_code": "ob", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop-B satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-B satellite.\r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1\r\n\r\nThis data set contains both the original processed data and reprocessed archive in the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only.\r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 140228, 140229, 140230, 140231, 140232, 140233, 140226, 140227 ], "onlineresource_set": [ 41414, 41413, 41415 ], "project_set": [] }, { "ob_id": 31940, "uuid": "caa9f45738d34e4cb1208ae0d72b5e79", "short_code": "coll", "title": "HadEX3: Global land-surface climate extremes indices", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Indices are available on an annual, and for some a monthly, basis. Some indices use a reference period to calculate thresholds, and for these, we provide versions using 1961-90 and 1981-2010.\r\n\r\nThe indices are available in NetCDF files, with one index per file and separate files for annual and monthly values, as well as the different reference periods if appropriate. The codes used to create the dataset are available online, and a wide number of analysis plots are on the dataset homepage. For a detailed description of the methods behind the dataset, please see the paper in Details/Docs.", "keywords": "HadEX3, indicies, temperature, monthly, annual, land, surface, climate", "publicationState": "published", "dataPublishedTime": "2020-10-07T08:18:54", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 157 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31941, "uuid": "ee378533af6243899bc93653cbd41eaa", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.1 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nIn September 2020, a user identified some issues in the DTR and TN90p (61-90) indices. These were found to have arisen from erroneous values in a few stations which were not picked up by any quality control checks. These stations were noted on the bad list and these two indices re-run, hence v3.0.1." }, { "ob_id": 31823, "uuid": "311f2fe74f4b4298be467f6622ded76b", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.0 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110')." }, { "ob_id": 32055, "uuid": "087d4c75ace04e59a71d95c1c44918f9", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.3 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.3 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab." }, { "ob_id": 32016, "uuid": "4530714563c24fd2a3cf291d1db8a4b2", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.2 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.2 was added due to a correction to the land-sea mask used. More details can be found in the HadEX3 blog under 'Details/Docs' tab." }, { "ob_id": 34669, "uuid": "115d5e4ebf7148ec941423ec86fa9f26", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.4 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.4 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab.\r\n\r\nAdditionally, an extension to HadEX3, comprising additional indices recommended by the WMO Expert Team on Sector-specific Climate Indices (ET-SCI), has been produced. These data are available in a separate dataset connected to this record, marked as supplemental to this dataset." }, { "ob_id": 41396, "uuid": "2bfbdba03d9b423f99cadf404ca2daab", "short_code": "ob", "title": "HadEX3: global land-surface climate extremes indices v3.0.4 (1901-2018); ETSCI extension", "abstract": "HadEX3-ETSCI is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. The indices in this extension to HadEX3 are those which are recommended by the World Meteorological Organization (WMO) Expert Team on Sector-specific Climate Indices (ET-SCI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). There are minor changes in the input data and also quality control checks which have been included in this dataset which are different to those in HadEX3, version 3.0.4, which contains parameters as defined by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI).\r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nIndices are available as annual and/or monthly quantities. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nTo align this extension with the existing ETCCDI indices in HadEX3, we commence versioning at 3.0.4." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 141140, 141266, 141139, 141205, 141136, 141137, 141138, 141141, 141206, 141207, 141267, 148550, 141268, 141269, 141270, 141271, 141272, 141273, 141274, 141275, 141276, 141277, 141278, 141279, 141280, 141281, 141282, 141283, 141284, 141285, 141286, 141287, 141288, 141289, 141290, 141291, 141292, 141293, 141294, 141295, 141296, 141297, 141298, 141299, 141300, 141301, 141302, 141303, 141304, 141305, 141306, 141307, 141308, 141309, 141310, 141311, 141312, 141313, 141314, 141315, 141316, 141317, 141318, 141319, 141320, 141321 ], "onlineresource_set": [ 41608, 41609, 41610, 41611, 41612 ], "project_set": [ 13164 ] }, { "ob_id": 31970, "uuid": "333bf4303034426a857515a768387e4f", "short_code": "coll", "title": "Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): rain radar helical scan data, assimilation versus model residuals and ensemble member model output.", "abstract": "The Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC) project undertook a series of studies to design and test efficient and effective ways of assimilating moisture information from observations that respect the intricate dynamical and physical relationships that operate in the atmosphere. The aim of this work was, if successful, that such new approaches would allow better use of cloud and rain affected observations than previously. Predicting convective rain is made harder by the fact that some events are inherently unpredictable, even with good data assimilation and models, due to their high sensitivity to even small errors in the initial conditions. Studies were also made to look at the dynamical reasons for the low predictability of such events using diagnostics derived from models and observations. To these ends this collection contains data from two of the studies within this project plus helical scan data from the Met Office's Wardon Hill radar utilised by the project team.\r\n\r\nThe two datasets from the project team cover ensemble member output from runs of the Met Office's Unified Model conducted to support the project and Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme. Please see the individual datasets for additional information.\r\n\r\nFor further details of the FRANC project please also see Dance et al. (2019) article in the online resources linked to from this record: Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project.", "keywords": "Doppler radial winds, data assimilation, convection permitting numerical weather prediction, convection, ensemble runs, CAPE, perturbation", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 217 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31848, "uuid": "5d8221e070e64823891bed7a87840447", "short_code": "ob", "title": "FRANC: Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme", "abstract": "The dataset is provided to support the publication 'Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics' by Waller et al (2016). The dataset was created as part of the NERC Flooding from Intense Rainfall (FRANC) project in order to study the observation uncertainties associated with Doppler radar radial wind observations assimilated in to the Met Office UK variable resolution model. The dataset is processed output of the Met Office UKV 3D var assimilation scheme for June, July and August 2013 for four different experimental scenarios. Full details and equations are given in Waller et al (2016) but the four different experimental cases are summarised as follows:\r\n\r\n- Case 1: Control experiment using standard UKV settings in place in January 2014\r\n- Case 2: As Case 1, but with a different background error covariance matrix used in the data assimilation\r\n- Case 3: As Case 1, but with raw Doppler radial wind observations rather than superobservations\r\n- Case 4: As Case 3, but with an improved observation operator.\r\n\r\nFor each case the dataset consists of the radial wind observations assimilated at each assimilation cycle valid between 01/06/2013 and 31/08/2016 along with the associated observation-minus-background and observation-minus-analysis residuals. Each observation also has metadata that describes the location of the observation (both in latitude/longitude co-ordinates, and co-ordinates relative to the radar station) , the assimilation cycle at which it was assimilated and the observation error variance that the observation was assigned in the data assimilation scheme. \r\n\r\nThese data are published under the Open Government License (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) © Crown Copyright, 2020, Met Office”." }, { "ob_id": 31957, "uuid": "80791eb6d92542cea867727f3c44d49a", "short_code": "ob", "title": "FRANC: Wardon Hill C-band rain radar helical scan products", "abstract": "Helical scans from the Met Office's Wardon Hill C-band rain radar, Dorset, England produced in support of the NERC funded \"Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection\" (FRANC) project. These data are opportunistic observations made by the radar as it transitioned between horizontal and vertically pointing scans and vice versa obtained during the period of the FRANC project.\r\n\r\nThe radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals." }, { "ob_id": 31811, "uuid": "b0c3f8b3db16434f80f833aa914e2bd4", "short_code": "ob", "title": "FRANC: Ensemble member output from UK Met Office Unified Model runs supporting analysis of convective-scale perturbation growth across a spectrum of convective regimes", "abstract": "Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): Ensemble member output from Unified Model runs as described in Flack et al. (2018): Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405\r\n\r\nThe dataset contains ensemble run output from 36 hour long runs under different model set ups (see details below) for 6 case studies (see Flack et al. 2018 for greater detail). The case studies (and model output available in the dataset) chosen related to a spectrum of 'convective adjustment time scales', defined as the ratio between the convective available potential energy (CAPE) and its rate of release at the convective scale. 'control' run files contain large scale rainfall rates and amounts whilst the 'control_multilevel' files contain various parameters on various levels, including mean sea level pressure, zonal, meridional and vertical wind components, specific humidity and temperature.\r\n\r\n- Case A: 20th April 2012, part of the Dynamical and Microphysical Evolution of Convective Storms (DYMECS) field experiment (Stein et al. 2015), showing typical conditions for scattered showers in the United Kingdom.\r\n- Case B: 12 August 2013, for a case where a surface low was situated over Scandinavia and the Azores high was beginning to build, leading to persistent northwesterly flow.\r\n- Case C: 23rd July 2013, relating to the fifth intensive observation period (IOP 5) of the Convective Precipitation Experiment (COPE; Leon et al. 2016). A low pressure system was centered to the west of the United Kingdom with several fronts ahead of the main center, which later decayed.\r\n- Case D: 2nd August 2013, covering IOP 10 of the COPE field campaign, with convection initiating at 1100 UTC. The synoptic situation shows a low pressure system centered to the west of Scotland, which led to southwesterly winds and a convergence line being set up along the North Cornish coastline (in southwest England).\r\n- Case E: 27th July 2013, covers the period of IOP 7 of the COPE field campaign where two mesoscale convective systems (MCS) influenced the U.K.’s weather throughout the forecast period.\r\n- Case F: 5th August 2013, was chosen for the complex situation for considering convective-scale perturbation grown and a second case driven by the boundary conditions as seen during IOP 12 of the COPE campaign\r\n\r\nA brief description of the model run IDs and model setup is given below.\r\n\r\nThe model used to create these ensembles is the Met Office Unified Model (MetUM). The United Kingdom Variable resolution (UKV) configuration is used, and so the data has a grid spacing of approximately 1.5 km. This was run at version 8.2 and run with the MetUM Graphical User Interface (GUI).\r\n\r\nrun ID: xkyib\r\n\r\nThis is the control experiment and everything is kept identical to the operational running of this configuration of the MetUM.\r\n\r\nrun ID: xldef\r\n\r\nHere the Gaussian potential temperature perturbations are added into the model. Full details of the perturbation method are described in Flack et al. (2018) Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405, however a brief overview is given below:\r\n\r\nA Gaussian distribution (defined using random numbers between +/- 1 at each grid point, with the seed determined by the time the model is ran) is created at every grid point in the domain. A superposition is created and rescaled to 0.1 K so as to be an appropriate amplitude for boundary layer noise. Each of the Gaussian distributions have a standard deviation of 9km so as to be added onto an appropriate scale for the model. The perturbations are added in at a model hybrid height of 261.6 m (approximately the 8th model level)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 141512, 141509, 141510, 141511, 141513, 141514, 141515, 141521, 141516, 141517, 141518, 141519, 141520 ], "onlineresource_set": [ 41686, 41831 ], "project_set": [ 11981 ] }, { "ob_id": 31980, "uuid": "3a0012551e464e5b8b3bba3b41a7a60c", "short_code": "coll", "title": "UKCP18 European Circulation Indices", "abstract": "European circulation indices calculated from the UKCP Global (60km) climate projections from 1900-2100 under RCP8.5 produced by the Met Office in 2018. These indices represent large scale circulation variability and they include: (i) the daily latitude and strength of the Atlantic Jet Stream; (ii) the daily ‘weather type’ (1-8 or 1-30) which is based on a classification scheme for the daily large scale synoptic situation; (iii) the average winter Atlantic pressure gradient between Iceland and Gibraltar representing the winter North Atlantic Oscillation (NAO). The indices are available for each member in the set of 28 global projections, which is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres. The indices included are either daily or monthly. Although they are based on data from the global runs on an N216 (60km) grid, these indices have a single value per timestep and have no latitude-longitude dimension.", "keywords": "UKCP18, UKCP, Climate, Simulations,Global, Europe, Circulation Indices, GCM, Model, Runs, RCP8.5, rcp85", "publicationState": "published", "dataPublishedTime": "2020-10-22T19:06:19.545873", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 212 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31977, "uuid": "6e61f79cb6b0457eb84edaffcf0aab3a", "short_code": "ob", "title": "UKCP Global (60km) - European Circulation Indices", "abstract": "A set of European Climate Indices calculated from UKCP Global (60km) projections from 1900-2100 under RCP8.5 produced by the Met Office in 2018 including: \r\n\r\n1. Daily Atlantic jet stream latitude and strength \r\n\r\n2. Daily 'weather pattern' classification - time-series of 1-8 or 1-30 weather patterns which are based on a classification scheme for the large scale synoptic situation.\r\n\r\n3. Winter North Atlantic Oscillation (NAO) index - annual time series represents the seasonal mean NAO as the sea level pressure gradient between Gibraltar and Iceland.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 141547, 141552, 141550, 141549, 141548, 141546, 141545, 141544, 141551 ], "onlineresource_set": [ 41693, 41694, 41695 ], "project_set": [] }, { "ob_id": 31981, "uuid": "1f88068e86304b0fbd34456115b6606f", "short_code": "coll", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost version 2 data products", "abstract": "This collection of data forms the Permafrost Climate Research Data Package (CRDP v1), which comprises the Version 2.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) for the period 1997-2018. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "publicationState": "published", "dataPublishedTime": "2020-11-02T10:44:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 31965, "uuid": "28e889210f884b469d7168fde4b4e54f", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%).\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." }, { "ob_id": 31966, "uuid": "6ebcb73158b14cd5a321b7c0bc6ed393", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost ground temperature for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m).\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." }, { "ob_id": 31967, "uuid": "29c4af5986ba4b9c8a3cfc33ca8d7c85", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness.\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 141571, 141597, 141596, 141576, 141575, 141574, 141573, 141572, 141577, 141578, 141579, 141580, 141581, 141582, 141583, 141584, 141585, 141586, 141587, 141588, 141589, 141590, 141591, 141592, 141593, 141594, 141595 ], "onlineresource_set": [ 41700 ], "project_set": [ 29966 ] }, { "ob_id": 32060, "uuid": "cbc70b7ed99a496ebf07ded806492681", "short_code": "coll", "title": ": in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM Aircraft Project.", "keywords": ", FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2020-12-16T14:24:45", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 32059, "uuid": "8a0b27147d804f08b2eedaba78cf452e", "short_code": "ob", "title": "FAAM C233 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Aircraft Project project." }, { "ob_id": 32062, "uuid": "4bb9fc42432b46899b1aa1095171e7dc", "short_code": "ob", "title": "FAAM C232 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 142161, 142163, 142162, 142160, 142159, 142158 ], "onlineresource_set": [], "project_set": [ 32057 ] }, { "ob_id": 32072, "uuid": "a5c833831e26474bb1100ad3aa58bdf9", "short_code": "coll", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour over land (CDR1), v3.1", "abstract": "This collection of data comprises the European Space Agency (ESA) Water Vapour Climate Change Initiative (Water Vapour_cci) Total Column Water Vapour over land, Climate Data Record 1 (TCWV-land (CDR1)). It comprises four datasets providing daily and monthly averages at 0.5 and 0.05 degree resolution respectively.", "keywords": "total column, water vapour, cci", "publicationState": "published", "dataPublishedTime": "2021-12-21T09:48:42", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32070, "uuid": "008b306d2cda435cb7ea9eb44bc07c73", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.5 degree resolution, version 3.1", "abstract": "This dataset consists of monthly averaged total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1." }, { "ob_id": 32068, "uuid": "5b8217eb6bc242229035d846671c62fa", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.05 degree resolution, version 3.1", "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1." }, { "ob_id": 32071, "uuid": "14e296d401f94ece8a2f143a7ddb0069", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.05 degree resolution, version 3.1", "abstract": "This dataset consists of monthly averaged total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1." }, { "ob_id": 32069, "uuid": "97d8054089a04235ab55a419622b4f1b", "short_code": "ob", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour daily gridded data over land at 0.5 degree resolution, version 3.1", "abstract": "This dataset consists of daily total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. It has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record -1 (TCWV-land (CDR-1).\r\n\r\nThis version of the data is v3.1." } ], "identifier_set": [ 10973 ], "responsiblepartyinfo_set": [ 149516, 149510, 142252, 142253, 142254, 142256, 142257, 142255, 149511, 149512, 149513, 149514, 149517, 149515 ], "onlineresource_set": [ 43576, 43577 ], "project_set": [ 32934 ] }, { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data", "abstract": "This collection contains version 5.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 5.0 data products held in the CEDA archive covering the period 1997-2020. Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "keywords": "ESA, Ocean Colour, CCI, ECV", "publicationState": "citable", "dataPublishedTime": "2021-05-12T13:06:56", "doiPublishedTime": "2021-05-19T14:44:45", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32141, "uuid": "f30495d4425f46c489765a2f84dd6862", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32146, "uuid": "de75072edfca44bfaaec0ed171d86bde", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32143, "uuid": "8154e881452f49c1ba86982ed88b20f0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32142, "uuid": "e2f9d8f61a02431997361a8827eaf558", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32137, "uuid": "5ab5267b17254152bcdbc055747faa02", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32138, "uuid": "016f577b631a429a8558796a74983154", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32136, "uuid": "612a615afb5d48459b385380b440b545", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products covering the period 1997 - 2020.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32144, "uuid": "e94f2810c0794175b834153a71ac3182", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32145, "uuid": "e9f82908fd9c48138b31e5cfaa6d692b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites) covering the period 1997 - 2020. Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32140, "uuid": "66534da90ed44abebfc1b08adca4f9c3", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, { "ob_id": 32139, "uuid": "e2c223cdcb4844f9a1ffe9759b61eaf4", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" } ], "identifier_set": [ 10887 ], "responsiblepartyinfo_set": [ 142951, 142952, 142518, 142519, 142521, 142522, 142523, 142520, 142524, 142525, 142526, 142527, 142528, 142529, 142530, 142531, 142532, 142533, 142534, 142535, 142536, 142537, 142538, 142539, 142540, 142542, 142544, 142547, 142548, 142549, 142550, 142551, 142552, 142553 ], "onlineresource_set": [ 41973, 41971, 41972, 89098, 89099, 89100, 89101, 89102, 89103, 89104, 89105, 89106, 89107, 89108, 89109, 89110, 89111, 89112, 89113, 89114, 87458, 87459, 87460, 87461, 87462, 87463, 87464, 87465, 87466, 87467, 87468, 88116, 94658 ], "project_set": [ 13365 ] }, { "ob_id": 32199, "uuid": "70f40e63092b4f2ab9c9860b7093db00", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 05.3 data collection", "abstract": "Soil Moisture data (version 05.3) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31 and the ACTIVE product covering 1991-08-05 to 2020-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "citable", "dataPublishedTime": "2021-03-17T16:54:22", "doiPublishedTime": "2021-04-19T15:59:55", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32191, "uuid": "0db7bf6c11284ca2a6177b85c875364a", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 05.3", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v05.3 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 32195, "uuid": "e43aead9947549078c2d108b2c3632b2", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.3", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v05.3 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 32197, "uuid": "31137897d305407c9b83d49d124e4d1d", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 05.3", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v05.3 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, { "ob_id": 32193, "uuid": "1da8dadcdfb642f4aad2384f02efe756", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.3", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v05.3 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" } ], "identifier_set": [ 10859 ], "responsiblepartyinfo_set": [ 143213, 143215, 143214, 143212, 143211, 143210, 143209, 143208, 143216, 143217, 143218, 143219, 143220, 143221, 143222, 143223, 143224, 143225, 143226, 143227 ], "onlineresource_set": [ 42121, 42115, 42116, 42117, 42118, 42119, 42120, 94799 ], "project_set": [ 13332 ] }, { "ob_id": 32223, "uuid": "e0c341b5ec0747b9bb4ca2f394b3322e", "short_code": "coll", "title": "Monthly-mean diurnal cycle of top of atmosphere outgoing radiation from the GERB instrument: Collection of datasets in Obs4MIPS format", "abstract": "This collection of data contains top of atmosphere (TOA) outgoing radiation from the Geostationary Earth Radiation Budget (GERB) instruments on board the Meteosat-9 geostationary satellite for the period from May 2007 until 2012. Two separate datasets are available, consisting of the shortwave and longwave outgoing radiation respectively.\r\n\r\nEach dataset consists of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nThey have been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. These are not currently standard GERB satellite instrument products, but do represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 31992, "uuid": "4fa633d24d104217a4c9d3fb3589f35d", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01 rsut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." }, { "ob_id": 31989, "uuid": "7aa17e66aaab4ece87064272b9f94e3a", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01 rlut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 143298, 143297, 143294, 143293, 143292, 143290, 143289, 143291, 143299 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32257, "uuid": "fbbac6fbbe4644e486452025f1fad9f6", "short_code": "coll", "title": "An Integrated Study of Air Pollutant Sources in the Delhi NCR (ASAP-Delhi): Atmospheric measurements", "abstract": "This dataset collection contains atmospheric measurements collected from Delhi, India for the An Integrated Study of Air Pollutant Sources in the Delhi NCR (ASAP-Delhi) project.", "keywords": "APHH, ASAP-Delhi", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 32253, "uuid": "fc48b67355554aa1bf4e6a8a358bca72", "short_code": "ob", "title": "APHH: Atmospheric O3 measurements made at Indian Institute of Technology (IIT) Delhi", "abstract": "This dataset contains online measurements of O3 mixing ratios using the commercially available Thermo 49i monitor. Measurements were made at the Indian Institute of Technology Delhi (IIT-Delhi), India. Mixing ratios are reported in parts per billion (ppb). The stationary inlet was located on the roof of a 5-storey building at Block IV, Indian Institute of Technology Delhi campus. \r\n\r\nThe data were collected over three measurement periods (i) winter: 12/01/2018 - 13/02/2018, (ii) pre-monsoon: 26/04/2018 - 05/06/2018 and (iii) post-monsoon: 13/10/2018 - 10/11/2018, by the University of Birmingham. \r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." }, { "ob_id": 32250, "uuid": "c09edb49931045e98287eac3ea17b423", "short_code": "ob", "title": "APHH: Atmospheric black carbon measurements made at Indira Gandhi Delhi Technical University for Women (IGDTUW)", "abstract": "This dataset contains black carbon concentrations using the aethalometer AE33 monitor. Measurements were made at the Indira Gandhi Delhi Technical University for Women (IGDTUW), India. Concentrations are reported in micrograms per cubic centimetre (ug.cm-3). The stationary inlet was located on the roof of a 4-storey building at IGDTUW campus. \r\n\r\nThe data were collected over two measurement periods (i) winter: 17/01/2018 - 09/02/2018 and (ii) pre-monsoon: 02/05/2018 - 25/05/2018, by the University of Birmingham.\r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." }, { "ob_id": 32245, "uuid": "a2ccd940e4c046978c1a3a472ae68007", "short_code": "ob", "title": "APHH: Atmospheric NO, NO2 and NOx measurements made at Indian Institute of Technology (IIT) Delhi", "abstract": "This dataset contains NO, NO2 and NOx mixing ratio measurements using the commercially available Thermo 42C chemiluminescence monitor. Measurements were made at the Indian Institute of Technology Delhi (IIT-Delhi), India. Mixing ratios are reported in parts per billion (ppb). The stationary inlet was located on the roof of a 5-storey building at Block IV, Indian Institute of Technology Delhi campus. \r\n\r\nThe data were collected over three measurement periods (i) winter: 12/01/2018 - 13/02/2018, (ii) pre-monsoon: 26/04/2018 - 05/06/2018 and (iii) post-monsoon: 13/10/2018 - 10/11/2018, by the University of Birmingham.\r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 143495, 143499, 143498, 143497, 143496, 143494, 143493, 143492, 143500, 143501 ], "onlineresource_set": [], "project_set": [ 32248 ] }, { "ob_id": 32299, "uuid": "28935552223242ca97953a8db99c2821", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.1 data collection", "abstract": "Soil Moisture data (version 06.1) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31 and the ACTIVE product covering 1991-08-05 to 2020-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. In addition to the main products, an experimental break-adjusted COMBINED product is also provided for the first time at v06.1. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\nIf using the COMBINED break-adjusted product, the following should also be cited in addition to the above:\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "citable", "dataPublishedTime": "2021-04-19T15:32:03", "doiPublishedTime": "2021-04-19T15:53:24", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32298, "uuid": "c3bd175b6ed64020b439eb08ed9c8fc2", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 06.1", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v06.1 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B, GPM satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001" }, { "ob_id": 32295, "uuid": "f5ffbd016e6b44858a33ae38ed2a149e", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 06.1", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v06.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001" }, { "ob_id": 32297, "uuid": "c2af8764c84744de87a69db7fecf7af9", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 06.1", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v06.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001" }, { "ob_id": 32310, "uuid": "3bfe0c2d51544f72837a99306a74e359", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 06.1", "abstract": "An experimental break-adjusted soil-moisture product has been generated by the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project for the first time with their v06.1 data release. The product attempts to reduce breaks in the final CCI product by matching the statistics of the datasets between merging periods. At v06.1, the break-adjustment process (explained in Preimesberger et al. 2020) is applied only to the COMBINED product, using ERA5 soil moisture as a reference. The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v06.1 COMBINED break-adjusted product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document and Preimesberger et al. 2020. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." }, { "ob_id": 32296, "uuid": "43d73291472444e6b9c2d2420dbad7d6", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v06.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001" } ], "identifier_set": [ 10858 ], "responsiblepartyinfo_set": [ 143809, 143810, 143808, 143807, 143806, 143805, 143804, 143811, 143812, 143813, 143814, 143815, 143816, 143817, 143818, 143819, 143820, 143821, 143822, 143823 ], "onlineresource_set": [ 42283, 42280, 42281, 42284, 42285, 42278, 42279, 94800 ], "project_set": [ 13332 ] }, { "ob_id": 32603, "uuid": "ea21f06880c345e0bba8862c03fdf54a", "short_code": "coll", "title": "GRACES: Collection of remote sensing and surface observations", "abstract": "Collection of datasets produced by the NERC funded GRACES (G-band RAdar for Cloud and prEcipitation Studies) project and third-party datasets utilised by the project.\r\n\r\nIn addition to 3 GHz and 94 GHz radar data collected specifically for the GRACES project at the Chilbolton Atmospheric Observatory (CAO) the project made use of standard data products from a range of surface instrumentation from the CAO site. These were augmented with the use of data from the Met Office NIMROD rain radar network for specific case studies.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2023-09-12T13:38:01", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1142, "name": "NDGO0005" } ], "member": [ { "ob_id": 32605, "uuid": "5b22789f362c43f3b3d1c65bc30c30ee", "short_code": "ob", "title": "Deanhill C-band rain radar dual polar products", "abstract": "Dual-polar products from the Met Office's Deanhill C-band rain radar, Whiteparish, Wiltshire, England. Data include augmented ldr (linear depolarization ratio) and zdr (differential reflectivity) scan data (both long and short pulse). The radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals." }, { "ob_id": 3538, "uuid": "fdfe20c537f9162563fac4b797dea44e", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Radiometrics Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Radiometrics Radiometer from the 23rd of August 2007 to the present at Chilbolton, Hampshire. The dataset contains measurements of the total liquid water at zenith, together with the vertical profile of water vapour density.\r\n\r\nAccuracy of integrated water vapour (IWV) retrieval: ~1 – 2 mm\r\nAccuracy of total liquid water path (LWP) retrieval: ~15% in non-precipitating conditions." }, { "ob_id": 3546, "uuid": "bac5f0744143bf5839add650ad32aa4c", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Vaisala PWD21 Present Weather Detector Data, Chilbolton Site", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Present Weather Sensor from 21st of August 2009 to the present at Chilbolton, Hampshire. The dataset contains reports of current weather conditions and those over the last hour using both NWS (National Weather Service) and WMO (World Meteorological Organisation) weather codes." }, { "ob_id": 3504, "uuid": "bf70daf01b6257b2475b057029325869", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Visible Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Visible Radiometer from 10th of May 2001 to the present at Chilbolton, Hampshire.\r\n\r\nThe dataset contains measurements of high accuracy total global, or diffuse sky, solar radiation measurement research on a plane/level surface, for extreme temperature environments." }, { "ob_id": 13373, "uuid": "080376e8868a44ceb0c8df69108590ba", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): net flux radiometer data from the Chilbolton Observatory", "abstract": "Continuous measurements are made using a Kipp & Zonen CNR4 net flux radiometer. It measures both downwelling and upwelling radiation in 2 wavelength bands which are common to many similar instruments. A shorter wavelength band measures radiation received from the sun. It encompasses the visible spectrum, together with near infrared and longer wavelength ultraviolet, over a wavelength range of approximately 0.29 - 2.8 µm. It shows a clear response to the day/night cycle. Clouds and other aerosols reduce the detected radiation. A longer wavelength band measures longer wavelength infrared radiation (approximately 4.5 - 32 µm) produced by emission from the atmosphere and earth's surface. It does not respond significantly to the day/night cycle but changes according to the time of year and degree of cloud cover. " }, { "ob_id": 3496, "uuid": "f8d261179d778ef8662ea286d5019d72", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Infra-Red Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Infra-Red Radiometer from 10th of May 2001 to the present at Chilbolton, Hampshire. The dataset contains measurements for both sky and surface emitted infrared radiation, from 4.5 to 42 µm." }, { "ob_id": 3531, "uuid": "aac5f8246987ea43a68e3396b530d23e", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer Data, Chilbolton Site", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Disdrometer from the 1st of April 2003 to the present at Chilbolton, Hampshire. The dataset contains measurements of the drop size distribution of rain." }, { "ob_id": 3500, "uuid": "5c81db56554e894173ccb95e1ac91887", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Microwave Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Visible Radiometer from 10th of May 2001 to the present at Chilbolton, Hampshire. The dataset contains measurements of Calibrated brightness temperature measured at 21 frequencies (selectable) between 22.0 and 30.0 GHz, water vapour profile, and integrated water vapour (IWV). Data are produced once every approximately 2 minutes." }, { "ob_id": 12264, "uuid": "5e878b3b9e584bccbc71b2e5094acfdb", "short_code": "ob", "title": "905 nm Vaisala CT75K Lidar Ceilometer Data from the Chilbolton Facility for Atmospheric and Radio Research (CFARR) site, Hampshire, England, 1996 - present", "abstract": "The Chilbolton Observatory, Hampshire, have had a Vaisala CT75K lidar ceilometer deployed since 13th September 1996. This dataset contains measurements of the range of first, second, and third cloud base from the lidar and attenuated backscatter coefficients of aerosols within the atmosphere. Plots of the attenuated backscatter coefficient at different heights are also available.\r\n\r\nThe instrument has been regularly calibrated using the method described by O'Connor, Ewan J., Anthony J. Illingworth, Robin J. Hogan, 2004: A Technique for Auto-calibration of Cloud Lidar. J. Atmos. Oceanic Technol., 21, 777–786. doi: http://dx.doi.org/10.1175/1520-0426(2004)021<0777:ATFAOC>2.0.CO;2 . \r\n\r\nPrior to April 2014 this technique had been applied manually, but from 2014 this was automated to provide a routine, automated application of O'Connor et al's calibration technique. This also highlighted an instrument calibration drift not previously spotted in earlier data and so a corrected data have been added to the archive for the following periods (denoted by \"_cor1\" in the filename): 1st July 2003 – 31st December 2003, January 2006 to December 2012 and February and March 2013. Users should see the data quality notes for further details.\r\n\r\nThis dataset incorporates the earlier published and citable 1996 - 2013 collection of lidar data, but continues this dataset to present" }, { "ob_id": 11021, "uuid": "504312b7a9f4e905181c8484f8a3c405", "short_code": "ob", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Direct Visible Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Direct Visible Radiometer from 27th Februrary 2013 to the present at Chilbolton, Hampshire. The dataset contains measurements of high accuracy direct solar radiation measurement research on a plane/level surface." }, { "ob_id": 5739, "uuid": "18f9d05e90171ecf31e5fc8db2903852", "short_code": "ob", "title": "Deanhill C-band rain radar single polar products", "abstract": "Single-polar products from the Met Office's Deanhill C-band rain radar, Whiltshire, England. Data include reflectivity and augmented Doppler products from April 2012 and June 2008 respectively. The radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145211, 145210, 145209, 145208, 145207, 145206, 145205 ], "onlineresource_set": [], "project_set": [ 32604 ] }, { "ob_id": 32624, "uuid": "16230d437d5941f0b370d5ead4193b15", "short_code": "coll", "title": "ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports: Airborne meteorological measurements", "abstract": "Airborne in-situ observations of core meteorological data collected by the MASIN instruments on board the British Antarctic Survey instrumented Twin Otter aircraft for the Orchestra project. The core data was collected from Rothera Station Antarctica between 2nd and 16th December 2017 and from the Falkland Islands between 7th and 23rd February 2019. The data is from a variety of instruments (temperature, humidity, wind, surface temperature, radiation and position), it is stored in NetCDF format using CF conventions.\r\n\r\nORCHESTRA is a NERC-funded Long Term Science programme that involves scientists from many NERC Centres. This 5 year project began in spring 2016 and will use a combination of data collection, analyses and computer simulations to radically improve our ability to understand and predict the circulation of the Southern Ocean and its role in the global climate, with particular emphasis on the way that the Southern Ocean absorbs and stores heat and carbon.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 34826, "uuid": "24ac9a74761b49dcae0881d9600c4ec7", "short_code": "ob", "title": "BAS-MASIN flight 286: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 286 on 13 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34862, "uuid": "1ed327b7ab7e47048b116ff5f42d1e5a", "short_code": "ob", "title": "BAS-MASIN flight 320: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 320 on 23 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34778, "uuid": "f01914b5dc2942029188d287322c67e5", "short_code": "ob", "title": "BAS-MASIN flight 319: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 319 on 23 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34842, "uuid": "169a3c3689d24c749b5bcd2f6f94ff31", "short_code": "ob", "title": "BAS-MASIN flight 313: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 313 on 08 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34822, "uuid": "7424f1a4fb2d4cec93bb4fed370a2d22", "short_code": "ob", "title": "BAS-MASIN flight 285: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 285 on 12 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34806, "uuid": "948ad703c335453db1aeeadcbe7341eb", "short_code": "ob", "title": "BAS-MASIN flight 281: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 281 on 08 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34802, "uuid": "8ed4ebe963574708b399a9484b7f9475", "short_code": "ob", "title": "BAS-MASIN flight 280: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 280 on 07 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34858, "uuid": "837f68e650d24a109a7ec85715a909d4", "short_code": "ob", "title": "BAS-MASIN flight 317: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 317 on 18 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34846, "uuid": "a5328df497c84df1a392039f56dd211b", "short_code": "ob", "title": "BAS-MASIN flight 314: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 314 on 13 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34834, "uuid": "72723d9cfb1f4c0b940cc06524b6d1e0", "short_code": "ob", "title": "BAS-MASIN flight 288: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 288 on 15 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34782, "uuid": "73032255e7c04e10b05bc0a835b461b5", "short_code": "ob", "title": "BAS-MASIN flight 276: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 276 on 02 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34830, "uuid": "b4798922b16849b2ab252ca423cb1b3a", "short_code": "ob", "title": "BAS-MASIN flight 287: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 287 on 15 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34850, "uuid": "94aa1faf95c8407fa5efb34ac650a8d8", "short_code": "ob", "title": "BAS-MASIN flight 315: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 315 on 15 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34810, "uuid": "54173e7618104cbea0b1d3d0cdb84984", "short_code": "ob", "title": "BAS-MASIN flight 282: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 282 on 09 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34818, "uuid": "dfca3ed65b584c90860775674f2f7865", "short_code": "ob", "title": "BAS-MASIN flight 284: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 284 on 11 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34786, "uuid": "9c5a1f100a5e40de9b7cb44c5b4b3a61", "short_code": "ob", "title": "BAS-MASIN flight 277: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 277 on 03 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34838, "uuid": "e8d5272c94d7449f96c72594f4f49e0c", "short_code": "ob", "title": "BAS-MASIN flight 312: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 312 on 07 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34814, "uuid": "c63758aaaaba4bb7907e4471578743d7", "short_code": "ob", "title": "BAS-MASIN flight 283: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 283 on 11 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." }, { "ob_id": 34854, "uuid": "b01b46a2e18c44d1b563a6fc36bb26b5", "short_code": "ob", "title": "BAS-MASIN flight 316: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 316 on 17 February 2019 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Falkland Islands area." }, { "ob_id": 34790, "uuid": "2b51146390ad402783581ec2c296ac54", "short_code": "ob", "title": "BAS-MASIN flight 278: airborne meteorological observations from the ORCHESTRA project", "abstract": "In-situ airborne observations collected during flight 278 on 06 December 2017 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Antarctic Peninsula." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 147753, 145461, 145460, 145459, 145458, 145457, 145456, 145455, 145462 ], "onlineresource_set": [ 42744 ], "project_set": [ 32626 ] }, { "ob_id": 32625, "uuid": "04f9006457e54c49b628913912827ad7", "short_code": "coll", "title": "(APHH India) Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux): Air quality measurements", "abstract": "This dataset collection contains air quality data from the Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme 'Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux)'.", "keywords": "APHH, Delhiflux", "publicationState": "published", "dataPublishedTime": "2021-05-26T09:27:10", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32119, "uuid": "ee3900d930c34730bacc4cf5ada98a7d", "short_code": "ob", "title": "APHH: VOC measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains hourly VOC concentration measurements from the University of York's two-dimensional gas chromatography with flame ionisation detection instrument. This instrument was located at the Indira Gandi Delhi Technical University for Women (IGDTUW). Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. \r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture. Certain C4 substituted monoaromatic compounds have been tentatively identified. Monoterpenes have been quantified based on their relative response to liquid injections.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 26890, "uuid": "33f3b3defe4d4e3194be68b61c2a3b2f", "short_code": "ob", "title": "APHH: Atmospheric dispersion model footprint plots made at the Delhi site during the 2018 campaign", "abstract": "The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) was used at the University of Leicester to produce atmospheric dispersion footprints centred on Delhi for use by the projects under the Atmospheric Pollution & Human Health in a Developing Megacity (APHH) programme. These footprints are created by model runs in which thousands of particles are released from the chosen location and are tracked backwards in time." }, { "ob_id": 31869, "uuid": "f29fdcae79374754bd16e7f66e6ed951", "short_code": "ob", "title": "APHH: Ionic species data within PM2.5 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains ionic data within PM2.5 measurements made during the Pre- Monsoon (28/05/2018 08:30:00 - 05/06/2018 17:30:00) and Post-Monsoon periods (09/10/2018 14:54:00 - 0\r\n6/11/2018 10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32220, "uuid": "81cf5b23a50446a0991eba0dc9cb46eb", "short_code": "ob", "title": "APHH: Single Particle Soot Photometer (SP2) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset includes black carbon mass and number concentrations measurements performed by the University of Manchester with a Single Particle Soot Photometer (SP2) made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 30225, "uuid": "fae65a63910a44b28a3d91268417b7c3", "short_code": "ob", "title": "APHH: Online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaign", "abstract": "This dataset contains hourly online measurements of VOC mixing ratios using Gas Chromatography with Flame Ionisation Detector (GC-FID) at Indira Gandhi Delhi Technical University for Women (IGDTUW), Dehli, India. Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. This data was collected\r\nover two measurements periods (28/05/2018 - 05/06/2018 and 05/10/2018 - 27/10/2018), for the APHH-India DelhiFlux project, by the University of\r\nYork. Data analysis was completed by Beth Nelson and Jim Hopkins at the University of York.\r\n\r\nMixing ratios for the following species are included: ethane, ethene, propane, propane, iso-butane, n-butane, acetylene, trans-2-butene, 1-butene, iso-butene*, cis-2-butene, cyclopentane*, iso-pentane, n-pentane, 1,3-butadiene, trans-2-pentene, 1-pentene, n-octane, n-hexane, isoprene, n-heptane, benzene, toluene, ethylbenzene, combined m,p-xylene, o-xylene,\r\nmethanol, acetone, ethanol, 1,2-butadiene*, propyne*.\r\n\r\nDate and time given in Local time as Julian day where 2018 01 01 = 0\r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture, and certified NPL 6 component mixture for o-VOC calibration. NOTE: any compound not contained therein has been assumed to have the same response factor as its closest isomer*.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32213, "uuid": "b7c9aeb6aee54698aef82f20365fc441", "short_code": "ob", "title": "APHH: Compact Time of Flight Aerosol Mass Spectrometer measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site and India Meteorological Department (IMD) during the post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains includes Organic aerosols, NO3, SO4, NH4 and Cl concentrations in ugm-3 measured with Compact Time of Flight Aerosol Mass Spectromete made during the Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site and India Meteorological Department site. Organic aerosol factors (HOA, LVOOA, BBOA, COA and SVOOA were identified using PMF factorization.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32253, "uuid": "fc48b67355554aa1bf4e6a8a358bca72", "short_code": "ob", "title": "APHH: Atmospheric O3 measurements made at Indian Institute of Technology (IIT) Delhi", "abstract": "This dataset contains online measurements of O3 mixing ratios using the commercially available Thermo 49i monitor. Measurements were made at the Indian Institute of Technology Delhi (IIT-Delhi), India. Mixing ratios are reported in parts per billion (ppb). The stationary inlet was located on the roof of a 5-storey building at Block IV, Indian Institute of Technology Delhi campus. \r\n\r\nThe data were collected over three measurement periods (i) winter: 12/01/2018 - 13/02/2018, (ii) pre-monsoon: 26/04/2018 - 05/06/2018 and (iii) post-monsoon: 13/10/2018 - 10/11/2018, by the University of Birmingham. \r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." }, { "ob_id": 32210, "uuid": "131a1935809540488cbb20bf5be5e8b3", "short_code": "ob", "title": "APHH: Multi Angle Absorption Photometer (MAAP) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains Black carbon (BC) concentrations in ugm-3 measured with an Multi Angle Absorption Photometer (MAAP) made during Post-Monsoon period of the APHH Delhi campaign in 2018 at Indian Meteorological Department (IMD) site. The measurements were collected at a height of ~ 26m.\r\nThe data has been corrected following the Weingartner method. Absorption coefficients were calculated following the Sandradewi model to determine biomass burning and fossil fuel contributions in Mm-1. The measurements were collected at a height of 4m.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32200, "uuid": "18a5685b5bbc4b3caefc469881f5f784", "short_code": "ob", "title": "APHH: Aethalometer measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains Black carbon (BC) concentrations in ugm-3 measured with an Aethalometer model AE31 made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. The data has been corrected following the Weingartner method. Absorption coefficients were calculated following the Sandradewi model to determine biomass burning and fossil fuel contributions in Mm-1. The measurements were collected at a height of 4m.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32250, "uuid": "c09edb49931045e98287eac3ea17b423", "short_code": "ob", "title": "APHH: Atmospheric black carbon measurements made at Indira Gandhi Delhi Technical University for Women (IGDTUW)", "abstract": "This dataset contains black carbon concentrations using the aethalometer AE33 monitor. Measurements were made at the Indira Gandhi Delhi Technical University for Women (IGDTUW), India. Concentrations are reported in micrograms per cubic centimetre (ug.cm-3). The stationary inlet was located on the roof of a 4-storey building at IGDTUW campus. \r\n\r\nThe data were collected over two measurement periods (i) winter: 17/01/2018 - 09/02/2018 and (ii) pre-monsoon: 02/05/2018 - 25/05/2018, by the University of Birmingham.\r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." }, { "ob_id": 30306, "uuid": "33ba929e3bcd4c08b69871e45a8660aa", "short_code": "ob", "title": "APHH: O3, CO, NO, NO2, NOy and SO2 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains O3, CO, NO, NO2, NOy and SO2 concentration measurements from the University of York's Thermo 49i O3 analyser, Aero Laser 5002 CO analyser, Air Quality Design (AQD) NOx analyser, Thermo 42c Trace Level NOx analyser with AQD NOy converter and a Thermo 43i SO2 analyser. These instruments were located at the Indira Gandi Delhi Technical University for Women (IGDTUW). The instruments sampled from a common sample line, initially at 7 m above ground level, then were moved to 35 m above ground on the 5th of November 2018.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 30223, "uuid": "ede22b4d8b1649999965301cc5f733f0", "short_code": "ob", "title": "APHH: Volatile organic compound (VOC) measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site during the DelhiFlux field campaigns", "abstract": "This dataset contains volatile organic compound concentration measurements made by the University of Lancaster using the UK CEH proton transfer reaction-quadrupole ion guide time of flight-mass spectrometer (PTR-QiTOF-MS). Measurements were made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) field site, Dehli, India during the DelhiFlux campaigns. Measurements from 04/10/2018 to 04/11/2018 were made at ground level (~4 m). Measurements from 05/11/2018 to 23/11/2018 were made at 30 m above ground level. All values are reported in ppbV (parts per billion by volume).\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, { "ob_id": 32245, "uuid": "a2ccd940e4c046978c1a3a472ae68007", "short_code": "ob", "title": "APHH: Atmospheric NO, NO2 and NOx measurements made at Indian Institute of Technology (IIT) Delhi", "abstract": "This dataset contains NO, NO2 and NOx mixing ratio measurements using the commercially available Thermo 42C chemiluminescence monitor. Measurements were made at the Indian Institute of Technology Delhi (IIT-Delhi), India. Mixing ratios are reported in parts per billion (ppb). The stationary inlet was located on the roof of a 5-storey building at Block IV, Indian Institute of Technology Delhi campus. \r\n\r\nThe data were collected over three measurement periods (i) winter: 12/01/2018 - 13/02/2018, (ii) pre-monsoon: 26/04/2018 - 05/06/2018 and (iii) post-monsoon: 13/10/2018 - 10/11/2018, by the University of Birmingham.\r\n\r\nThese data were collected as part of the ASAP-Delhi project as part of the Atmospheric Pollution and Human Health in an Indian Megacity (APHH) programme." }, { "ob_id": 32616, "uuid": "fdb8960260a64c5faf652f8f47c4df81", "short_code": "ob", "title": "APHH: Non-methane volatile organic compound emission inventories from burning studies performed as part of the APHH-INDIA project (DelhiFlux).", "abstract": "This contains gridded non-methane volatile organic compound (NMVOC) emission inventories for India derived as part of burning studies performed during the APHH-INDIA campaign. For data files with more than 1 million rows, NASA AMES metadata headers have been provided as a separate document, which has the identical name of the data it applies to but also includes _metadata.\r\n\r\nFor years 1993, 1994, 1999, 2002, 2005, 2006, 2007, 2010, 2011 and 2016 inventories have been produced in terms of total NMVOC emission from each source sector (kg/km2). There are also two upper limit scenarios of emissions from cow dung cake combustion based on data from PPAC and PPAC supplemented with additional cow dung cake consumption for states now covered by this survey. The speciation factors of NMVOCs released from particular sources are also provided so that these years can be speciated by source simply by multiplying the total emission from each source by the ratio of species released from the source. This allows future users to produce speciated emission inventories for years other than 2011 if they need.\r\n\r\nGridded inventories are also provided for emissions of 21 polycyclic aromatic hydrocarbons for the year 2011 from fuelwood, cow dung cake, charcoal, liquefied petroleum gas and municipal solid waste. These are provided as total PAH emissions from a source with speciation factors also provided to allow speciation should it be required by multiplying the total NMVOC emission from a source by the speciation factors from that source. \r\n\r\nGridded inventories are provided for crop residue burning at 1km2 and 10km2. These were calculated with total agricultural area identified in a state from either NASA MODIS (1 km2) or Ramankutty et al. (2008) (10 km2). A second inventory was produced at 10km2 as it was felt that the NASA data offered little variation within respective states. These have been split into total emissions from each of the 5 emission factors applied, RiceEFyearlyVOCKG (for rice), WheatEFyearlyVOCKG (for wheat, coarse cereal and maize), JowarEFyearlyVOCKG (for Jowar and Bajra), MeanEFyearlyVOCKG (for 9 oilseeds, groundnut, rapeseed, mustard, sunflower, cotton, jute and mesta) and SugarcaneEFyearlyVOCKG (for sugarcane). \r\n\r\nThe inventories were produced using emission factors developed as part of the APHH-INDIA project as well as from a different publication focussed on the burning of crops. The inventories have been developed in the following manner. The emission factors used in this study come from a variety of recently published sources. All emission factors applied in this study included measurement by PTR-ToF-MS, a technique well suited to species released in significant quantities from solid fuel combustion such as small oxygenated species, phenolics and furanics. These species are often missed by GC measurement alone. Preference has been given to emission factors from studies which: (1) have many measurements (n), (2) use samples collected from India or (3) use samples collected from similar countries. Fully speciated emission factors are available from the references given. For residential fuel combustion, the emission factors measured by Stewart et al. (2021a) were used and were developed from 76 combustion experiments of fuel wood, cow dung cake, LPG and MSW samples collected from around Delhi. This study was extremely detailed and measured online, gas-phase, speciated NMVOC emission factors for up to 192 chemical species using dual-channel gas chromatography with flame ionisation detection (DC-GC-FID, n = 51), two-dimensional gas chromatography (GC×GC-FID, n = 74), proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS, n = 75) and solid-phase extraction two-dimensional gas chromatography with time-of-flight mass spectrometry (SPE-GC×GC-ToF-MS, n = 28). Comparison of these emission factors to those obtained in similar studies is provided in Stewart et al. (2021a). The emission factors used as part of this study are larger than those measured by Stockwell et al. (2016), Fleming et al. (2018) and several other studies which were based on gas chromatography techniques alone. The emission factors here measure many more NMVOC species, use techniques which target a range of species which more traditional GC analyses do not detect and make online measurements which minimise loss of intermediate-volatility and semi-volatile organic species, which may be lost through the collection of whole air samples, but have been shown to represent a large proportion of total emissions from biomass burning (Stockwell et al., 2015).\r\n\r\nEmission factors for combustion of crop residues on fields were taken from measurements by Stockwell et al. (2015) made using PTR-ToF-MS of 115 NMVOCs (Stockwell et al., 2015) for wheat straw (n = 6), sugarcane (n=2), rice straw (n=7) and millet (n=2). This study also included the mean crop residue emission factor for 19 food crops, for use when no current emission factor had been comprehensively measured using PTR-ToF-MS. The emission factor applied (38.8 g kg-1) was evaluated against that for crop residues used for domestic combustion in Delhi (37.9 g kg-1). Whilst the values measured by Stockwell et al. (2015) and Stewart et al. (2021a) were comparable, the value from Stockwell et al. (2015) was used as the crop types were more reflective of the crop residues burnt on fields after harvest, compared to those burnt to meet residential energy requirements. The mean emission factor for crop residue combustion on fields was used for specific crop types with smaller levels of cultivation.\r\nEmissions from coal burning were estimated using a mean emission factor from the combustion of bituminous coal from China (n = 14), a neighbouring Asian country, made using PTR-ToF-MS. Whilst the chemical composition of the coal may be more important than the development status of the country, there was overall a low level of reported residential coal use and this estimate was included for completeness. A total of 89 NMVOCs were identified, which represented 90-96% of the total mass spectra (Cai et al., 2019). \r\n\r\nIndian specific PAH emission factors were recently measured in gas- and particle-phases using PTR-ToF-MS and GC×GC-ToF-MS (Stewart et al., 2021). This dataset provided PAH emission factors collected from combustion of fuel wood (n = 16), cow dung cake (n = 3), crop residue from domestic combustion (n = 3), MSW (n = 3), LPG (n = 1) and charcoal (n = 1) samples. \r\n\r\nHigh resolution, gridded population data for India (WorldPop, 2017) was used at a resolution of 1 km2. Officially, urban populations in India are defined as having a population density > 400 people km-2, 75% of men employed in non-agricultural industries and a population of town > 5000 people. Rural populations in India cannot be identified simply by having a population density of < 400 people km-2, as some states such as Uttar Pradesh have an average population density of around 800 people km-2. Rural grid squares were therefore identified by calculating the population density threshold in each state in which the sum of the 1km2 grid squares below this threshold correctly reproduced the rural populations in these states from the 2001 and 2011 censuses (Government of India, 2014). A small uncertainty existed over the exact population of India and we used population statics indicated by the 2011 census. NMVOC and PAH emissions from domestic solid fuel combustion were plotted against this high-resolution population data in the R statistical programming language at 1 km2 for 2001 and 2011, with the population datasets scaled to the percentage changes in Indian population indicated by the World Bank for additional years of interest. \r\n\r\nPreference was given to large fuel usage surveys which included tens to hundreds of thousands of respondents. The Household Consumption of Goods and Services in India survey by the National Sample Survey Office (NSSO, 2007a, 2012a, 2014) gave state-wise kg capita-1 fuel wood, LPG, charcoal and coal burning statistics for rural and urban environments and was used for the years 2004-2005, 2009-2010 and 2011-2012. NMVOC emissions for these years were calculated by multiplying the NMVOC emission factor for the fuel, by the yearly fuel consumption per capita by the population of the grid cell. \r\n\r\n\r\nData were collected from additional large surveys previously conducted. These surveys collected data in terms of the number of households using specific fuels per 1000 households in different Indian states in rural and urban environments. The Fifth Quinquennial Survey on Consumer Expenditure provided data for 1993-1994 (NSSO, 1997), the Energy Sources of Indian Households for Cooking and Lighting provided data for years 2004-2005, 2009-2010 and 2010-2011 (NSSO, 2007b, 2012b, 2015) and the Household Consumer Expenditure and Employment-Unemployment Situation in India for 2002 and 2006-2007 (NSSO, 2003, 2008). The National Family Health Survey presented India-wide fuel use as a percentage of the population. To reflect spatial variation in fuel use, the raw data from these surveys were accessed (from the DHS Programme, U.S. Agency for International Development), extracted through the SPSS statistics software package and processed in the R programming language. This increased fuel usage data availability as the number of households per 1000 households using specific fuels in Indian states and covered the years 1992-1993, 1998-1999, 2005-2006 and 2015-2016 (International Institute for Population Sciences, 1995, 2000, 2007, 2017). These were extensive datasets with 1992-1993, 1998-1999 and 2005-2006 surveying just under 100,000 households and 2015-2016 around 600,000 households.\r\n\r\nTo allow the incorporation of data from years which were based on the number of households using a particular fuel per 1000 households (1993, 1994, 1999, 2002, 2006, 2007 and 2016), a scaling factor was developed. The scaling factor was based on the ratio of fuel use in the state from years where per capita data was available. It was possible to link the Household Consumption of Goods and Services in India and the Energy Sources of Indian Households for Cooking and Lighting surveys for the years 2005, 2010 and 2011. This was done using years where the number of households per 1000 households and kg capita-1 fuel usage statistics were available, as it was possible to calculate the amount of fuel a primary user would use. The fuel use of a primary user here was defined as the amount of fuel a person would burn who was recorded to use a specific fuel type. For example, if the per capita consumption in the Household Consumption of Goods and Services survey in India for fuel wood was 10 kg per capita per 30 days, and the Energy Sources of Indian Households for Cooking and Lighting survey showed 250 households per 1000 households used fuel wood, then the fuel use was estimated to be 40 kg per primary user per 30 days. This was achieved by multiplying the per capita usage for a particular fuel type by the inverse of the ratio of fuel usage in that state in rural or urban environments. The amount of fuel a primary user would use was then used to estimate the amount of fuel consumed per capita in years where only usage per 1000 household statistics were available.\r\n\r\nCow dung cake consumption was only reported as number of households per 1000 in these surveys and the amount of cow dung cake burnt per primary user was determined based on the energy density compared to fuel wood. This was done using calorimetry data which showed that cow dung cake was 1.3-1.9 times less efficient than fuel wood (EPA, 2000; Gadi et al., 2012). For this reason, the amount of fuel per primary user for fuel wood in a state has been multiplied by 1.6 to give the equivalent amount of cow dung cake a user would need to burn for their cooking needs. Upper and lower estimates for cow dung cake consumption were based on the range 1.3-1.9. This was then converted to fuel use per capita in kg per user per 30 days by rearranging E2. This has been evaluated to validate this approach, which estimated Indian cow dung cake consumption to be in the range 25.7-79.7 Tg yr-1 from 1993-2016. This was generally towards the lower end of consumption values previously reported of 35-128 Tg yr-1 (Habib et al., 2004). For this reason, emission inventory estimates were also compared to those produced using cow dung cake consumption based on the TERI Energy Data Directory and Yearbook (TEDDY) 2012/2013 data and a study from the Petroleum Planning & Analysis Cell (PPAC) from 2016 with population indicated at the 2011 level (TEDDY, 2012; PPAC, 2016).\r\n\r\n\r\nThe amount of MSW burnt was estimated using an established approach (IPCC, 2006; Wiedinmyer et al., 2014) with revised inputs for India based on per capita MSW generation from over 300 Indian cities (Annepu et al., 2012), state wise MSW collection figures (CPCB, 2013) as well as estimates of the amount of urban (NEERI, 2010) and rural MSW burnt (World Bank, 2012). This estimate does not include incineration for electrical power generation. \r\n\r\nWiedinmyer et al. (2014) assessed worldwide emissions from MSW burning based on IPCC guidelines (IPCC, 2006). The approach used here was similar, with modifications to the input data which made them more specific to India. The approach split the amount of MSW burnt into the MSW burnt by rural and urban populations in the country. For rural populations this was given by per capita rural MSW generation multiplied by the population of rural grid cell multiplied by the fraction of MSW burnt residentially. Per capita rural MSW generation was set at the lower limit indicated by the World Bank for South Asia of 0.12 kg capita-1 day-1 and evaluated in the range 0.08 kg capita-1 day-1 (Parmar and Pamnani, 2018) to 0.12 kg capita-1 day-1 (World Bank, 2012). The fraction of MSW burnt rurally was set to 0.6 which was the IPCC estimate (IPCC, 2006) and was further supported by a recent study which showed that only around 40% of rural MSW was collected in South Asia (Kaza et al., 2018).\r\n\r\nThe fraction of MSW burnt for an urban population was estimated by the sum of two calculations. The first was for street MSW burning which was calculated by per capita urban MSW generation multiplied by the population of urban grid cell multiplied by the fraction of MSW which was not collected multiplied by the fraction burnt.\r\n\r\nThe weighted per capita urban MSW generation was calculated by averaging per capita MSW generation statistics from 366 Indian cities by state (Annepu et al., 2012). The fraction of MSW which was uncollected was calculated from the Central Pollution Control Board (CPCB), as the difference in the amount of MSW generated and collected (CPCB, 2013). Urban per capita MSW generation was scaled to its estimated change for different years of interest.\r\n\r\nThe second calculation was for the MSW burnt on landfill sites, which was calculated by the MSW per capita produced in urban environments, multiplied by the urban population, multiplied by the fraction collected in an urban environment multiplied by the fraction burnt at the landfill site. The fraction of MSW collected came from CPCB statistics, but was reduced by 17-50% due to the informal recycling sector, based on very limited data from studies focussed on MSW recovery by the informal sector which showed 17% recovery in Delhi (Talyan et al., 2008), 20% recovery at a landfill site in Pune (Annepu et al., 2012), 4% in Pondicherry (Rajamanikam et al., 2014) and up to 40-50% in Mohali (Nandy et al., 2015). This was due to the large contribution of the informal recycling sector to recycling in India, where waste was collected by waste merchants, garbage collectors and waste pickers from highways, waste depots and landfill sites. This was an important consideration in India as studies have shown recovery of between 8.5-80 kg of material per picker per day and large cities such as Delhi having 80,000-100,000 pickers (Nandy et al., 2015). The fraction of waste burnt in a dump (Bfrac,dump) was given by NEERI who estimated that 10% of landfill MSW in Mumbai was burnt (NEERI, 2010). This was reinforced by a further study which examined the amount of waste burnt based on satellite studies of a landfill site in India which showed that approximately 10% of the waste that entered the site each day ended up being burnt (Sharma et al., 2019). Bfrac,dump was notably lower here (0.1) than in Wiedinmyer et al. (2014) (0.6) which was based on the 2006 IPCC Guidelines for National GHG Inventories. The estimate used in this study represented a conservative estimate of NMVOC emissions from landfill fires. Due to lack of reliable data in establishing Bfrac,dump, and the associated uncertainty, the sensitivity of urban landfill burning emissions over the range 0.1-0.6 was evaluated as part of the uncertainty range given in this study. This provided the upper limit to the uncertainty range of the potential amount of landfill waste burnt. This depicts scenarios before the new MSW management rules in 2016. \r\n\r\nNMVOC emissions from crop residue burning on fields in India were estimated to evaluate the relative importance of different burning sources using the most up-to-date input data currently available. A calculation was carried out for 2011, as NMVOC emissions from crop-residue burning on fields showed little year-on-year variation from 1995-2009 (Jain et al., 2014). The residue generated from the cultivation of four main categories of crops was estimated. The amount of crop types produced in each state (Ministry of Agriculture, 2012) was collated for cereals (rice, wheat, coarse cereals, maize, jowar, bajra), oilseeds (groundnut, rapeseed, mustard, sunflower and 9 oilseeds), fibres (cotton, jute and mesta) and sugarcane. The amount burnt was calculated using India specific estimates of the residue to crop ratio, dry matter fraction and fraction burnt (Jain et al., 2014). Emissions were estimated using factors from recent studies of crop residues routinely burnt on fields using PTR-ToF-MS (Stockwell et al., 2015). When the exact residue was measured (e.g., rice straw, wheat straw, sugarcane and millet) the correct emission factor was used. For cases where the exact residue was not measured, the mean reported crop residue emission factor was used. The spatial distribution of croplands was then either indicated using agricultural land identified by the high-resolution 500 m NASA MODIS land use product reduced to 1 km2 resolution or through croplands identified at 10 km2 through evaluation of the distribution of agricultural lands (Ramankutty et al., 2008). The total amount of crop residue burnt in a state was calculated using the approach given in Jain et al. (2014) but with the up-to-date inputs discussed. \r\n\r\nThe inventories were produced by Gareth Stewart at the University of York. Full details of the methodology are provided in the publication associated with these inventories. \r\n\r\nThe inventories provided here cover most of the land mass of India, but may vary slightly compared to those presented in the publication. This is associated with the North of India, particularly around the Pakistan and Chinese borders. This is due to how the boundaries of India were defined in the base data used for this study (WorldPop and GADM) and changes to states in the North of India after the period of interest (i.e. formation of Ladakh in 2019).\r\nAn inventory for coal has not been included due to low total emissions. \r\n\r\nAcronyms\r\n\r\nPAH = Polycyclic aromatic hydrocarbon\r\n\r\nNMVOCs = non-methane volatile organic compounds\r\n\r\nMSW = Municipal solid waste\r\n\r\nCrop = agricultural crop residue \r\n\r\nWood = Fuel wood\r\n\r\nDung = Cow dung cakes\r\n\r\nCharcoal = Charcoal fuel\r\n\r\nCoal = Coal fuel\r\nAPHH-INDIA = Atmospheric Pollution and Human Health in an Indian Megacity project\r\n\r\n\r\nRiceEFyearlyVOCKG = Total NMVOC emission in 2011 from agricultural on field burning of agricultural rice residues\r\n\r\nWheatEFyearlyVOCKG = Total NMVOC emission in 2011 from agricultural on field burning of agricultural wheat, coarse cereal and maize residues\r\n\r\nJowarEFyearlyVOCKG = Total NMVOC emission in 2011 from agricultural on field burning of agricultural jowar and bajra residues\r\n\r\nMeanEFyearlyVOCKG = Total NMVOC emission in 2011 from agricultural on field burning of agricultural 9 oilseeds, groundnut, rapeseed, mustard, sunflower, cotton, jute and mesta residues\r\n\r\nSugarcaneEFyearlyVOCKG (for sugarcane) = Total NMVOC emission in 2011 from agricultural on field burning of agricultural sugarcane residues\r\n\r\nBfracdump = fraction of waste burnt in the dump" }, { "ob_id": 32487, "uuid": "5631c55a2caa4cd2bcdf1bf75365bcc8", "short_code": "ob", "title": "APHH: High Resolution Time of Flight Mass Spectrometer measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the DelhiFlux field campaigns", "abstract": "This dataset contains Organic aerosols, NO3-, SO4=, Cl- and NH4+ submicron concentrations in µg m-3 measured with High Resolution Time of Flight Aerosol Mass Spectrometer (HR-ToF-AMS) and Organic aerosol factors (Cooking Organic Aerosol (COA), Nitrogen-rich Hydrocarbon-like Organic Aerosol (NHOA), Solid-Fuel Organic Aerosol (SFOA), Hydrocarbon-like Organic Aerosol (HOA), Semi-Volatility Biomass Burning Organic Aerosol (SVBBOA), Low-Volatility Oxygenated Organic Aerosol (LVOOA), Semi-Volatility Oxygenated Organic Aerosol (SVOOA)) identified using positive matrix factorization. The instrument was located at the Indira Gandhi Delhi Technical University for Women (IGDTUW) from May to Nov 2018. The instrument sampled initially at 7 m above ground level, then was moved to 35 m above ground on the 5th of November 2018.\r\n\r\nThe data were collected as part of the DelhiFlux project under the Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme, and the UKCEH’s SUNRISE programme delivering National Capability to NERC." }, { "ob_id": 32187, "uuid": "b25cad50e3a0472098672264b12b20b1", "short_code": "ob", "title": "APHH: Photolysis rate measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains photolysis rate measurements made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Photolysis rates are derived from the product of the absorption cross-section of the precursor molecule, the quantum yield of the photo-product and the actinic flux density (cm-2s-1nm-1). The actinic flux is measured between 280 - 650 nm (<1 nm resolution) using a Ocean Optics spectral radiometer attached to a quartz receiver optic. Data is averaged to 1 minute time-stamp.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145470, 145469, 145468, 145467, 145466, 145465, 145464 ], "onlineresource_set": [], "project_set": [ 30221 ] }, { "ob_id": 32717, "uuid": "3da412ad9912427d9bb808b57faa21a7", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 2: Changing state of the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- input data for Figure 2.2\r\n- data for Figure 2.4\r\n- data for Figure 2.5\r\n- data for Figure 2.6\r\n- data for Figure 2.9\r\n- data for Figure 2.11\r\n- input data for Figure 2.11\r\n- data for Figure 2.12\r\n- input data for Figure 2.12\r\n- data for Figure 2.13\r\n- input data for Figure 2.13\r\n- data for Figure 2.14\r\n- data for Figure 2.15\r\n- input data for Figure 2.15\r\n- input data for Figure 2.16\r\n- data for Figure 2.17\r\n- data for Figure 2.22\r\n- input data for Figure 2.23\r\n- data for Figure 2.25\r\n- input data for Figure 2.25\r\n- data for Figure 2.26\r\n- input data for Figure 2.27\r\n- data for Figure 2.28\r\n- input data for Figure 2.29\r\n- data for Figure 2.36\r\n- data for Figure 2.37\r\n- data for Figure 2.38\r\n- data for Cross-Chapter Box 2.1.1\r\n- data for Cross-Chapter Box 2.3.1", "keywords": "IPCC, AR6, WG1, Chapter 2", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:22:19", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 33390, "uuid": "b51b72736ff943bb830e3c241d032621", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.17 (v20211203)", "abstract": "Data for Figure 2.17 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.17 shows temporal evolution of the Hadley Cell extent and intensity since 1979 from a variety of reanalyses.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains the annual average of Northern Hemisphere and Southern Hemisphere latitude of the Hadley Cell edge, as well as the intensity of the Hadley Cell for each hemisphere\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: HCextent_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCextent_2.csv, column 3 orange line, upper panel\r\n - Data file: HCextent_2.csv, column 4 grey line, upper panel\r\n - Data file: HCextent_2.csv, column 5 black line, upper panel\r\n - Data file: HCextent_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCextent_2.csv, column 7 orange line, lower panel\r\n - Data file: HCextent_2.csv, column 8 grey line, lower panel\r\n - Data file: HCextent_2.csv, column 9 black line, lower panel\r\n\r\n\r\nPanel b:\r\n \r\n - Data file: HCintensity_2.csv, column 2 cyan line, upper panel\r\n - Data file: HCintensity_2.csv, column 3 orange line, upper panel\r\n - Data file: HCintensity_2.csv, column 4 grey line, upper panel\r\n - Data file: HCintensity_2.csv, column 5 black line, upper panel\r\n - Data file: HCintensity_2.csv, column 6 cyan line, lower panel\r\n - Data file: HCintensity_2.csv, column 7 orange line, lower panel\r\n - Data file: HCintensity_2.csv, column 8 grey line, lower panel\r\n - Data file: HCintensity_2.csv, column 9 black line, lower panel\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 40095, "uuid": "3659eca2afe54ab9ae437bf25fec1c2e", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.26 (v20230523)", "abstract": "Data for Figure 2.26 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.26 shows changes in ocean heat content (OHC).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.26:\r\n\r\n- AR6 FGD assessment timeseries OHC\r\n\r\nThese data files are from data for Cross-Chapter Box 9.1, Figure 1. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n- Link to Cross-Chapter Box 9.1, Figure 1" }, { "ob_id": 37617, "uuid": "81f53dc4487b4260b92d4dd8000a8b09", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - input data for Figure 2.29 (v20220624)", "abstract": "Input data for Figure 2.29 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.29 shows the surface ocean pH evolution over time from the last 65 million years onwards up to modern times. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for panel d Ocean-SODA (the remaining datasets used for this figure are publicly available and reference is provided in Supplementary Material for chapter 2, Table 2.SM.1) \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global mean surface ocean pH from 1981-2018 for reconstructed global ocean acidification change.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel d (time series plot)\r\n \r\n - Data file: SODA_pH.txt (yearly data, 1981-2018); relates to purple line\r\n\r\nSODA stands for Satellite Oceanographic Datasets for Acidification.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Use program Chapter2_Fig.29_code_in_R to reproduce the figure (programming in R). \r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33451, "uuid": "691c673c0d204911893659e10d4ddcba", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.37 (v20211215)", "abstract": "Data for Figure 2.37 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.37 shows indices of interannual climate variability from 1950-2019 based upon several sea surface temperature data products\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five panels, with data provided for all panels in one single directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - IOB.nc contains IOB index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - IOD.nc contains IOD index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - NINO34.nc contains Nino 3.4 index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - AMM.nc contains AMM index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n - AZM.nc contains AZM index from COBE, ERSST, HADI, KAPL and OISST (yearly data, 1950-2019).\r\n \r\n Data acronyms:\r\n COBE [Objective Analyses of Sea-Surface Temperature and Marine Meteorological Variables for the 20th Century using ICOADS (International Comprehensive Ocean-Atmosphere Data Set) and the Kobe Collection].\r\n ERSST [NOAA Extended Reconstructed Sea Surface Temperature].\r\n HADI [Hadley Centre Sea Ice and Sea Surface Temperature data set].\r\n KAPL [Kaplan Extended SST].\r\n OISST [NOAA Optimum Interpolation Sea Surface Temperature].\r\n IOB [Indian Ocean Basin]\r\n IOD [Indian Ocean Dipole]\r\n AMM [Atlantic Meridional Mode]\r\n AZM [Atlantic Zonal Mode]\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n First panel:\r\n - Data file: IOB.nc\r\n \r\n Second panel:\r\n - Data file: IOD.nc\r\n \r\n Third panel:\r\n - Data file: Nino34.nc\r\n \r\n Fourth panel:\r\n - Data file: AMM.nc\r\n \r\n Fifth panel:\r\n - Data file: AZM.nc\r\n \r\n In all the cases:\r\n - Blue line corresponds to COBE data set\r\n - Red correspinds to ERSST data set\r\n - Skyblue corresponds to HADI data set\r\n - Green corresponds to KAPL data set\r\n - Yellow corresponds to OISST data set\r\n For all the nc files the sources are arranged in columns 1 to 5, respectively.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 33296, "uuid": "8bbebd486eed4b7392dd306462e3f724", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.22 (v20211109)", "abstract": "Data for Figure 2.22 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.22 shows the April snow cover extent (SCE) for the Northern Hemisphere over the 1922-2018 period.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains Northern Hemisphere April snow cover extent (SCE) time series from 1922-2018 for:\r\n \r\n - Observed SCE (1922-1991) from Brown (2000)\r\n - Blended Multi-observation SCE dataset (1967-2018) from Mudryk et al. (2020)\r\n - Upper and lower boundary for uncertainty range for each time series\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.22\r\n Data file: Apr_snow_cover_extent_SCE.csv; (yearly data) relates to data for blue line (Brown 2000) and red line (Multi-obs Mudryk et al. 2020) and the upper and lower boundaries for uncertainty range (shaded area) for each time series\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (Chapter 2)\r\n- Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 33207, "uuid": "0e80e12edb7e4dc9b9219df77c0fe9d6", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.25 (v20211005)", "abstract": "Data for Figure 2.25 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains regional average departures (anomalies) of observed permafrost temperature relative to International Polar Year (2007-20909) baseline from 1974-2019 for 4 regions as defined in Romanovsky et al. (2017):\r\n \r\n - Permafrost temperature Barents region (1974-2019)\r\n - Permafrost temperature Baffin Bay Davis Strait region (1979-2019)\r\n - Permafrost temperature anomaly Beaufort-Chukchi Sea region (1978-2019)\r\n - Permafrost temperature Interior Alaska and Central Mackenzie Valley NWT (1983-2019)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.25\r\n Data file: Arctic_permafrost_temperature_anomaly.csv; (annual data, average regional anomalies) relates to green line (Barents), purple line (Baffin), blue line (Beaufort-Chukchi) and red line (Interior Alaska and Central Mackenzie Valley)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to input data figure 2.25." }, { "ob_id": 33260, "uuid": "8ec2d4b94f8e4756ad31858ff8256464", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.15 (v20211022)", "abstract": "Input data for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.15 provides global precipitation trend maps and time series for a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with input data provided for panel (a) (cru_masked_2019_2), panels (b) and (e) (gpcc_v2020_msk2.nc), panel (d) (cru_masked_2019_2.nc), and panel (f) (gpcp2019.nc)\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n This dataset is the input data used in the code that generates panels (a), (b), (d), (e) and (f) for figure 2.15. \r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33304, "uuid": "8dcf91b3ebb44458b67124896b131ac5", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.36 (v20211112)", "abstract": "Data for Figure 2.36 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.36 shows changes in ENSO variability over time. The upper panel shows multi-centennial changes while the lower panel shows changes during the instrumental period.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n \r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are two subpanels. Data are provided for lower panel. Links to the data used for the upper panel are provided as part of the Supplementary Material for Chapter 2\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains 30-year standard deviations in instrumental Nino 3.4, the proxy mean, and the Southern Oscillation Index (SOI), beginning from the first SOI data (1876-1905).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b:\r\n \r\n - Data file: Figure_2_36-instrumental_period_data.csv, second column blue line\r\n - Data file: Figure_2_36-instrumental_period_data.csv, third column cyan line\r\n - Data file: Figure_2_36-instrumental_period_data.csv, fourth column orange line" }, { "ob_id": 40093, "uuid": "12ce1a305f7649bc85a9b81e782da0c9", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.28 (v20230523)", "abstract": "Data for Figure 2.28 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.28 shows changes in global mean sea level.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.28:\r\n\r\n a) AR6 FGD assessment timeseries GMSL satellite altimeter \r\n b) AR6 FGD assessment timeseries GMSL tide gauge\r\n\r\nThese data files can be found from data for Cross-Chapter Box 9.1, Figure 1. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n- Link to Cross-Chapter Box 9.1, Figure 1" }, { "ob_id": 33345, "uuid": "de41130346a04f97879352525d890577", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.14 (v20211126)", "abstract": "Data for Figure 2.14 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.14 provides global average time series of total column water vapour anomalies for a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset cointains time series of global averaged total column water vapour anomalies from 1979-2019 for observations and reanalyses\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: tcwv6.csv:\r\n \r\n - Column 2: cyan solid line\r\n - Column 3: orange solid line\r\n - Column 4: black solid line\r\n - Column 5: green solid line\r\n - Column 6: cyan dotted line\r\n - Column 7: blue line\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34657, "uuid": "528c3543bc394134916aa792c4a2e700", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.25 (v20220119)", "abstract": "Input data for Figure 2.25 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Annual mean permafrost temperatures(deg C) for sites in 4 regions at depths indicated based on Romanovsky et al. (2020) in State of the Climate in 2019 BAMS 101(8) p S265-S269 https://doi.org/10.1175/BAMS-D-20-0086.1\r\n Regions based on those in Romanovsky et al. (2017) Ch 4 in Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nTime series for each site that was used to determine the regional anomalies shown in the figure\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 38911, "uuid": "0f05c2fb8f814d60ac2d657a70e9a7f5", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 2.1, Figure 1 v20221114", "abstract": "Data for CCB 2.1, Figure 1 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCCB 2.1 Figure 1 shows global mean surface temperature over the past 60 million years plotted on three time scales and including projections.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\nPlease also include citations of the related publications provided at the end of this abstract.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Global mean surface temperature adjusted to 1850-1900 reference period for:\r\n \r\n - 60 to 0.02 Ma ( from Westerhold et al. 2020: 10.1126/science.aba6853)\r\n - 60 to 0.02 Ma (from Hansen et al. 2013: 10.1098/rsta.2012.0294)\r\n - 1 to 0.02 Ma (from Snyder 2016: 10.1038/nature19798)\r\n - 20 to 12 ka (from Shakun et al. 2012: 10.1038/nature10915)\r\n - 12 ka to 1900 CE (from Kaufman et al. 2020: 10.1038/s41597-020-0530-7)\r\n - 1850-2020 CE (from Chapter 2, Figure 2.11c)\r\n - Projections - 2100 from Table 4.5, 2300 from Table 4.9\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: FinalData_CCB2_1_Fig1_DMS.csv contains time series data shown in CCB2.1 Figure 1 for each of the five previously published paleotemperature time series, adjusted to 1850-1900 reference period, plus 1850-2020 from Figure 2.11c.\r\n \r\n - Column A: time reference for Westerhold et al., 2020\r\n - Column C: orange line\r\n - Column D: time reference for Hansen et al., 2013\r\n - Column F: grey line\r\n - Column G: time reference for Snyder, 2016.\r\n - Column I: green line\r\n - Column J: time reference for Shakun et al., 2012\r\n - Column L: black line\r\n - Column M: time reference for Kaufman et al., 2020\r\n - Column O: violet line\r\n - Column P: time reference for AR6 assessed mean\r\n - Column R: red line\r\n\r\nMa stands for million years before present\r\nka represents thousands of years before present.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 60 million years ago to 2020.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Published data were adjusted to 1850-1900 reference period using values specified in 'ReadMe'. \r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Links to related publications listed below\r\n\r\n---------------------------------------------------\r\nRelated publications for figure datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications. Relations to individual publications are outlined in the Readme file provided with this data. Links are provided in the Related Documents section of this catalogue record.\r\n\r\nWesterhold, T., et.al. An astronomically dated record of Earth’s climate and its predictability over the last 66 million years. SCIENCE, 11 Sep 2020, Vol 369, Issue 6509, pp. 1383-1387, DOI: 10.1126/science.aba6853\r\n\r\nHansen James, Sato Makiko, Russell Gary and Kharecha Pushker 2013 Climate sensitivity, sea level and atmospheric carbon dioxide Phil. Trans. R. Soc. A.3712012029420120294\r\nhttp://doi.org/10.1098/rsta.2012.0294\r\n\r\nZachos, J., Dickens, G. & Zeebe, R. An early Cenozoic perspective on greenhouse warming and carbon-cycle dynamics. Nature 451, 279–283 (2008). https://doi.org/10.1038/nature06588\r\n\r\nShakun, J., Clark, P., He, F. et al. Global warming preceded by increasing carbon dioxide concentrations during the last deglaciation. Nature 484, 49–54 (2012). https://doi.org/10.1038/nature10915\r\n\r\nKaufman, D., McKay, N., Routson, C. et al. Holocene global mean surface temperature, a multi-method reconstruction approach. Sci Data 7, 201 (2020). https://doi.org/10.1038/s41597-020-0530-7\r\n\r\nPAGES 2k Consortium. Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era. Nat. Geosci. 12, 643–649 (2019). https://doi.org/10.1038/s41561-019-0400-0\r\n\r\n Gillett, N.P.; Malinina, E.; Kaufman, D.; Neukom, R. (2021): Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20210809). NERC EDS Centre for Environmental Data Analysis, date of citation. doi:10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd. http://dx.doi.org/10.5285/0b2759059ad6474098e40dad73e0a8ec\r\n\r\nTrewin, Blair. (2022). Global temperature time series from IPCC AR6 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6321535\r\n\r\nZebedee Nicholls, Malte Meinshausen, & Jared Lewis. (2022). AR6 WG1 Plots and Processing (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6386979" }, { "ob_id": 37681, "uuid": "c9397680d08442b9a1d21e7c50df4aba", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input Data for Figure 2.12 (v20220630)", "abstract": "Input Data for Figure 2.12 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.12 shows changes in temperature through the troposphere and stratosphere, both on near-global scales and in the tropics.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five subpanels, with intermediate data provided for panels b to e.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains trends in temperature at various atmospheric heights for 1980–2019 and 2002–2019\r\n \r\n - for the near-global (70°N–70°S) domain.\r\n - for the tropical (20°N–20°S) region.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panels b-e: each line shows the observed trend for the specified time period/region for a given data set as a function of height.\r\n \r\n - Data files: *ROM_SAF*.nc: Radio occultation RO (ROM SAF). Violet line\r\n - Data files: *UCAR*.nc: Radio occultation RO (UCAR/NOAA). Cyan line\r\n - Data files: *Wegener*.nc: Radio occultation RO (WEGC). Blue line\r\n - Data files: *ERA5*.nc: Modern reanalysis. Cyan dotted lines.\r\n - Data files: *RICH*.nc: Radiosonde. Orange line\r\n - Data files: *RAOBCORE*.nc: Radiosonde. Yellow line\r\n - Data files: *AIRS*.nc: Infrared satellite. Green line\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThere are notes guiding the user to reproduce the figure in the code associated to this dataset. Link to the code that reproduces the figure in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37280, "uuid": "f3515388768344bfb2be0521f82388be", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.11 (v20220510)", "abstract": "Data for Figure 2.11 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 2.11 includes mapped and time-series data showing global surface temperature relative to 1850 - 1900 over multiple time scales.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\n Figure has three panels, with data provided for panel (a) (center and right part), and panel (c).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n Global surface temperature, relative to 1850 - 1900 for:\r\n\r\n Panel a: \r\n \r\n - 1000 to 1900 CE - from PAGES 2k Consortium (modified from the version 2019: 10.1038/s41561-019-0400-0)\r\n - 1850 to 2020 from AR6 assessed mean (same as Figure 2.11c).\r\n\r\n Panel c: \r\n \r\n - Annual and decadal means from instrumental data for 1850–2020, along with the uncertainty range from HadCRUT5.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: Figure_2_11a-PAGES_2k_Consortium.csv (yearly data, 1000 to 1900); relates to the center part of the figure showing global surface temperature relative to 1850 -1900. (bold solid green line, column 2, median 10-yr smooth adjusted (+0.37°C), thin solid green lines: 5th (column 3) and 95th (column 4) percentiles of the ensemble members).\r\n - Data file: Figure2_11_panel_a.csv (yearly data, 1850 to 2020); relates to the right part of the figure showing global temperature anomaly AR6 assessed mean. (bold solid violet line, column 2)\r\n\r\nPanel c: \r\n \r\n - Data file: Figure_2_11c-land_and_ocean_time_series.csv (yearly data, 1850 to 2020); relates to the upper part of the figure showing global surface temperature relative to 1850 -1900. (Land, column 2, red line; Ocean, column 3, blue line).\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nInput data and code to reproduce panel b and panel c (lower part) plots are provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to input data figure 2.11.\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34596, "uuid": "44864a906fb14075bf81db6f0bf068e7", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 2.3, Figure 1 (v20221115)", "abstract": "Data for CCB 2.3, Figure 1 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nThis figure shows changes in the assessment of observed global surface temperature between AR5 and AR6.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - The upper panel provides a graphical summary of the text in CCB2.3 which describes how the assessment of observed global surface temperature change has changed between AR5 and AR6.\r\n - The lower panel shows observed global mean surface temperature from 1850 to the latest date available, as assessed in AR5 (finishes 2012) and AR6 (finishes 2020).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel: \r\n \r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 2: Lower bound\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 3: Central estimate\r\n - Data file: CCB_2_3_upper_panel_data_file.csv, column 4: Upper bound\r\n\r\n\r\nLower panel: \r\n \r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 2: blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 3: orange line (1880-2012)\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 4: dotted blue line\r\n - Data file: CCB_2_3_lower_panel_data_file.csv, column 5: faint orange line (1850-1880)\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 33307, "uuid": "78ad6999f2d743d2a7db16757c27b549", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.27 (v20211112)", "abstract": "Input data for Figure 2.27 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.27 presents the ocean salinity trends during historical period (1950-2019) for the near surface (global map, panel a) and zonal mean sub-surface (panel b), with regions of non-significant changes masked by 'x' marks. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n \r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels (DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc) and processed via the MATLAB script (Figure_2_27.m) linked in the Related Documens section.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the global ocean salinity estimates from Durack & Wijffels (2010) based on observations from 01-01-1950 to 12-31-2019:\r\n \r\n - Mean salinity (for the Jan/1950 to Dec/2019 period, units in PSS).\r\n - Salinity change (for the same period, PSS/70-years).\r\n - Salinity change error (same period, PSS/70-years).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The processing of the salinity estimates from Durack & Wejffels (2010), is done in the MATLAB script (Figure_2_27.m).\r\n\r\n Panel a: \r\n - Ocean surface salinity change (1950-2019) and time mean (for isohalines).\r\n\r\n Panel b:\r\n - Zonal mean ocean subsurface salinity (0-2000m) change (1950-2019) and time mean (for isohalines).\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n The salinity change from the dataset has unit PSS/70-years. Units for salinity change and salinity change error have been converted to PSS/decade.\r\n\r\n Salinity change error from the dataset must be multiplied by 1.09 (to account for the resolved error when a bootstrap resampling was undertaken) x 1.64485 (i.e., z-value for 90% confidence interval) in order to get the uncertainty for the stippling.\r\n\r\n The stippling in both panels is done for regions (either surface salinity, panel a, or zonal mean salinity, panel b) where the salinity uncertainties are larger than the salinity trend.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33350, "uuid": "70276cf6b04e4b638b4fe9b37f7651dd", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.15 (v20211126)", "abstract": "Data for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.15 provides global precipitation trend maps and time series for a variety of data sources.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for panel c (precipglobalavedata2019_4.csv). Code for plotting all panels is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel c:\r\n \r\n - Data file precipglobalavedata2019_4.csv: column 2 orange solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 3 cyan solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 4 black solid line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 5 black dotted line (upper panel)\r\n - Data file precipglobalavedata2019_4.csv: column 7 orange solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 8 cyan solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 9 black solid line (lower panel)\r\n - Data file precipglobalavedata2019_4.csv: column 10 black dotted line (lower panel)\r\n\r\nGCPP stands for the Global Precipitation Climatology Centre.\r\nCRU TS stands for Climatic Research Unit Timeseries.\r\nGPCP stands for the Global Precipitation Climatology Project.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.15.\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34654, "uuid": "39786f1e6fe2495291558cdc2a0b0aa1", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.6 (v20220119)", "abstract": "Data for Figure 2.6 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.6 shows globally averaged atmospheric mixing ratios of ozone-depleting substances and greenhouse gases.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Each panel contains atmospheric mixing ratios for select greenhouse gases and/or ozone-depleting substances derived from atmospheric observations and historical compilations from 1950-2019, plotted as the annual mean for each year.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 20, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 21, blue line.\r\n - Datafile: Data_Figure_2_6.csv, column 26, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 27, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 22, turquoise line.\r\n\r\n\r\nPanel b:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 23, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 2, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 33, turquoise line.\r\n - Datafile: Data_Figure_2_6.csv, column 34, grey line.\r\n - Datafile: Data_Figure_2_6.csv, column 28, violet line.\r\n\r\n\r\nPanel c:\r\n \r\n - Datafile: Data_Figure_2_6.csv, column 24, red line.\r\n - Datafile: Data_Figure_2_6.csv, column 25, cyan line.\r\n - Datafile: Data_Figure_2_6.csv, column 32, black line.\r\n - Datafile: Data_Figure_2_6.csv, column 14, brown line.\r\n - Datafile: Data_Figure_2_6.csv, column 15, orange line.\r\n - Datafile: Data_Figure_2_6.csv, column 13, grey line.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n Some mixing ratios of multiple species were summed for clarity (see Figure caption for details). The summations are included in the data file. Dichloromethane (CH2Cl2) data were smoothed by applying a 3-yr moving average.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 39521, "uuid": "60eeb3cce51a457cb5ee1c577a0c8674", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.4 (v20221219)", "abstract": "Data for Figure 2.4 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.4 shows Atmospheric well-mixed greenhouse gases concentration from ice cores. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\nPlease also include citations of the related publications provided at the end of this abstract.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Atmospheric WMGHG concentration records during the last 800 kyr with the LGM to Holocene transition as inset.\r\n - Multiple high-resolution records over the CE\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nSubdirectory 'fig2_4_data_Feb24_2021' contains figure data with listed publications from which the datasets originate. Datasets are also provided in BADC-CSV formats as described below:\r\n\r\n Panel a: \r\n - Data file: fig2_4a_main figure_data.csv; column 2: red line (main figure); column 4: green line (main figure); column six: purple line (main figure).\r\n - Data file: fig2_4a_inset_data.csv: column 3: red line (inset); column 6: orange line (inset)\r\n\r\n Panel b:\r\n - Data file: fig2_4b_data_v2.csv: column 2: pink dot (top panel); column 5: brown dot (top panel); column 8: orange dot (top panel); column 11: red line (top panel); column 13: sky blue line (middle panel); column 15: green line (middle panel); column 18: purple square (bottom panel); column 21: blue circle N2O (bottom panel); column 24: brown dot (bottom panel); column 26: green circle (bottom panel); column 29: red circle (bottom panel); column 32: orange square (bottom panel); column 35: blue line (bottom panel)\r\n\r\nWMGHG stands for well-mixed green-house gases.\r\nLGM stands for Last Glacial Maximum.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range of data\r\n---------------------------------------------------\r\nThis dataset covers a timespan from 800kyr ago to 2000 CE.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure from the IPCC AR6 website \r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Links to related publications listed below\r\n\r\n\r\n---------------------------------------------------\r\nRelated publications for figure datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications from which the figure datasets originate. Relations to individual datasets are listed at the top of each dataset. Links are provided in the Related Documents section of this catalogue record. \r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nLoulergue, L. et al. Orbital and millennial-scale features of atmospheric CH4 over the past 800,000 years. Nature 453, 383–386 (2008)\r\n\r\nSchilt, A., Baumgartner, M., Blunier, T., Schwander, J., Spahni, R., Fischer, H., and Stocker, T. F.: Glacial-interglacial and millennialscale variations in the atmospheric nitrous oxide concentration uring the last 800 000 years, Quaternary Science Reviews, 29, 182–192, doi:10.1016/j.quascirev.2009.03.011 (2010)\r\n\r\nKöhler, P., Nehrbass-Ahles, C., Schmitt, J., Stocker, T. F., & Fischer, H. (2017). A 156 kyr smoothed history of the atmospheric greenhouse gases CO2, CH4, and N2O and their radiative forcing. Earth System Science Data. https://doi.org/10.5194/essd-9-363-2017\r\n\r\nLüthi, D., M. Le Floch, B. Bereiter, T. Blunier, J.-M. Barnola, U. Siegenthaler, D. Raynaud, J. Jouzel, H. Fischer, K. Kawamura, and T.F. Stocker. 2008. High-resolution carbon dioxide concentration record 650,000-800,000 years before present. Nature, Vol. 453, pp. 379-382, 15 May 2008.\r\n\r\nMarcott, S. A., Bauska, T. K., Buizert, C., Steig, E. J., Rosen, J. L., Cuffey, K. M., Fudge, T. J., Severinghaus, J. P., Ahn, J., Kalk, M. L., McConnell, J. R., Sowers, T., Taylor, K. C., White, J. W. C., & Brook, E. J. (2014). Centennial-scale changes in the global carbon cycle during the last deglaciation. Nature, 514(7524), 616–619.\r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nMonnin E, Indermühle A, Dällenbach A, Flückiger J, Stauffer B, Stocker TF, Raynaud D, Barnola JM. Atmospheric CO2 concentrations over the last glacial termination. Science. 2001 Jan 5;291(5501):112-4. doi: 10.1126/science.291.5501.112. PMID: 11141559.\r\n\r\nAhn, J., Brook, E. J., Mitchell, L., Rosen, J. McConnell, J. R., Taylor, K., Etheridge, D., and Rubino, M. (2012b). Atmospheric CO2 over the last 1000 years: A high-resolution record from the West Antarctic Ice Sheet (WAIS) Divide ice core, Global Biogeochemical Cycles, 26, GB2027 , doi:10.1029/2011GB004247.\r\n\r\nBauska, T. K., Joos, F., Mix, A. C., Roth, R., Ahn, J., & Brook, E. J. (2015). Links between atmospheric carbon dioxide, the land carbon reservoir and climate over the past millennium. Nature Geoscience. https://doi.org/10.1038/ngeo2422\r\n\r\nRubino, M., Etheridge, D. M., Thornton, D. P., Howden, R., Allison, C. E., Francey, R. J., Langenfelds, R. L., Steele, L. P., Trudinger, C. M., Spencer, D. A., Curran, M. A. J., van Ommen, T. D., & Smith, A. M. (2019). Revised records of atmospheric trace gases CO2, CH4, N2O, and d13C-CO2 over the last 2000 years from Law Dome, Antarctica. Earth System Science Data, 11(2), 473–492. https://doi.org/10.5194/essd-11-473-2019\r\n\r\nSIEGENTHALER, U. R. S., MONNIN, E., KAWAMURA, K., SPAHNI, R., SCHWANDER, J., STAUFFER, B., STOCKER, T. F., BARNOLA, J.-M., & FISCHER, H. (2005). Supporting evidence from the EPICA Dronning Maud Land ice core for atmospheric CO2 changes during the past millennium. Tellus B, 57(1), 51–57. https://doi.org/10.1111/j.1600-0889.2005.00131.x\r\n\r\nMitchell, L., Brook, E., Lee, J. E., Buizert, C., & Sowers, T. (2013). Constraints on the late Holocene anthropogenic contribution to the atmospheric methane budget. Science. https://doi.org/10.1126/science.1238920\r\n\r\nFlückiger, J., Dällenbach, A., Blunier, T., Stauffer, B., Stocker, T. F., Raynaud, D., & Barnola, J. M. (1999). Variations in atmospheric N2O concentration during abrupt climatic changes. Science. https://doi.org/10.1126/science.285.5425.227\r\n\r\nMachida, T., Nakazawa, T., Fujii, Y., Aoki, S., & Watanabe, O. (1995). Increase in the atmospheric nitrous oxide concentration during the last 250 years. Geophysical Research Letters, 22(21), 2921–2924. https://doi.org/10.1029/95GL02822\r\n\r\nRyu, Y., Ahn, J., Yang, J.-W., Jang, Y., Brook, E., Timmermann, A., Hong, S., Han, Y., Hur, S., & Kim, S. (2020). Atmospheric nitrous oxide during the past two millennia, Global Biogeochemical Cycles, 34, e2020GB006568. https://doi.org/10.1029/2020GB006568\r\n\r\nSowers, T. (2001). N2O record spanning the penultimate deglaciation from the Vostok ice core. Journal of Geophysical Research: Atmospheres, 106(D23), 31903–31914. https://doi.org/10.1029/2000JD900707" }, { "ob_id": 38895, "uuid": "fe8d7ad6c1284677994c6643e1e55bbb", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.2 v20221111", "abstract": "Input Data for Figure 2.2 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.2 shows time series of solar and volcanic forcing for the past 2.5 kyr (panels a, c) and since 1850 (panels b, d). \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels with input data provided for panels (b) and (d) in subdirectories named panel_b, and panel_d.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Panel b:\r\n - TSI time series (6-month running averages) from CMIP6 historical forcing after 1850. (1850-2020)\r\n\r\n Panel d:\r\n - SAOD reconstruction from CMIP6 comparted to CMIP5 forcing. (1850-2020)\r\n\r\n\r\nTSI stands for total solar irradiance.\r\nSAOD stands for stratospheric aerosol optical depth.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_b/TSI_Composite.csv - TSI composite data (orange line)\r\n panel_b/TSI_WLS_mon_1882_2008_clean.txt - CMIP5 TSI data (for red line)\r\n panel_d/tau_map_2002.txt\r\n panel_d/tau_map_2012_12b.txt\r\n\r\nTSI composite data also provided in .xlsx format which is used with the code for reproducing the data.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal Range of Data\r\n---------------------------------------------------\r\nThis dataset covers a timespan from the year 500 BCE to 2020.\r\n2.5 kyr represents the data from the past 2500 years before 2000.\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The files are used as input data of the code used to reproduce figure 2.2. Instructions on how to use the files in the readme file associated with the code archived on GitHub. (see the link to code in the Related Documents section of this catalogue record).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37688, "uuid": "b618062ee96a4d36b6010271e099a5c4", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.23 (v20220630)", "abstract": "Input data for Figure 2.23 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.23(a) shows number of a finite selection of surveyed glaciers that advanced during the past 2000 years. Figure 2.23(b) shows the annual and decadal global glacier mass change from 1961 until 2018.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with input data provided for panel b (green lines and shadow).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n Global mean glacier mass balance between 2000 and 2010 and between 2010 and 2020 from Hugonnet et al. (2021).\r\n All values are in Gt yr-1.\r\n All uncertainties are 90% CI.\r\n\r\n Note: two thirds of the data (the rows 2000-2010, 2010-2020) are directly available online at https://doi.org/10.6096/13 under a CC-BY-4.0 license. The last row of 2006-2019 can be derived from the data in that same DOI using provided scripts, but is not directly available in a table.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure 2.23 Panel b:\r\n \r\n - green line. table_hugonnet_regions_10yr_ar6period.xlsx. Decadal (2000-2010 and 2010-2020) global mass balance (Gt yr-1) from Hugonnet et al. (2021). The mean values are computed in the matlab script from the value of each region.\r\n - green area. table_hugonnet_regions_10yr_ar6period.xlsx. Decadal (2000-2010 and 2010-2020) global mass balance (Gt yr-1) uncertainty from Hugonnet et al. (2021). The mean values are computed in the matlab script from the value of each region.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Input datasets are provided and matlab scripts linked in the related Documents section to reproduce the figure.\r\n\r\nInput dataset: table_hugonnet_regions_10yr_ar6period.xlsx and 2.23b_Zemp_etal_results_global.csv (a table already available as supplementary material by Zemp et al. (2019)). The rest of the files are provided in the corresponding code on GitHub (matlab script). The link to the code archive on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\nCode please be aware that you will need: \r\n - MB_figure_FGD_chapter2_jun_28_2021.m script \r\n - shadedplot.m matlab function \r\n - colorscheme.mat created by the TSU of WGI\r\n\r\n\r\n* black line. Zemp_etal_results_global.csv. Global mass change (Gt yr-1) based on spatial interpolation from 1961 to 2016; supplementary materials from Zemp et al. (2019) it is complemented with the mass change for years 2017 and 2018 from Table 1 of Zemp et al. (2020). Decadal means are computed by the matlab script.\r\n\r\n\r\n* grey area. Zemp_etal_results_global.csv. Total uncertainty of regional mass change (Gt yr-1) from 1961 to 2016; supplementary materials from Zemp et al. (2019) it is complemented with the uncertainty of mass change for years 2017 and 2018 from Table 1 of Zemp et al. (2020). Decadal uncertainties are computed by the matlab script.\r\n\r\n\r\n* blue line. Global mean glacier mass balance (Gt yr-1) between 2002 and 2016 from Wouters et al. (2019). Values are taken from Table 1 of Wouters et al. (2019) Global total of glacier mass budget. Values are declared in the matlab script.\r\n\r\n\r\n* light blue area. Global mean glacier mass balance uncertainty (Gt yr-1) between 2002 and 2016 from Wouters et al. (2019). Values are taken from Table 1 of Wouters et al. (2019) Global total of glacier mass budget uncertainty. Values are declared in the matlab script.\r\n\r\n\r\n* desert yellow line. Global mean glacier mass balance (Gt yr-1) between 2006 and 2015 from Hock et al. (2019) Values are taken from Table 2A.1 of Chapter 2 of SROCC Global values. Values are declared in the matlab script.\r\n\r\n\r\n* desert yellow area. Global mean glacier mass balance uncertainty (Gt yr-1) between 2006 and 2015 from Hock et al. (2019) Values are taken from Table 2A.1 of Chapter 2 of SROCC Global values. Values are declared in the matlab script.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33257, "uuid": "02fd1d886bad40f3bb2eef3271900823", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.13 (v20211022)", "abstract": "Input Data for Figure 2.13 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.13 shows the global trends in surface specific humidity and surface relative humidity over 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for panels (a) HadISDH_blendq_1_0_0_2019f.nc and (c) HadISDH_blendRH_1_0_0_2019f.nc \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global maps of specific and relative humidity trends over 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n This dataset is the input data used in the code that generates panel (a) and panel (c) for figure 2.13 \r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The following changes to filenames were made to archive the data (due to filenaming restrictions). To use the data with any associated figure code, the filenames should be reverted.\r\n\r\n HadISDH_blendq_1_0_0_2019f.nc -> HadISDH.blendq.1.0.0.2019f.nc \r\n HadISDH_blendRH_1_0_0_2019f.nc -> HadISDH.blendRH.1.0.0.2019f.nc \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37308, "uuid": "033cd690801741c9bc745b8da55faef4", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.11 (v20220428)", "abstract": "Input Data for Figure 2.11 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 2.11 shows observed global temperature change over a wide range of timescales.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three subpanels. Input data are provided for panel b and panel c (lower panel).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Panel b:\r\n - gridded file of observed trends (as ASCII text) and significance overlay. Separate notes document.\r\n \r\n Panel c (lower panel):\r\n - Global surface temperature, relative to 1850 - 1900 for annual and decadal means from instrumental data for 1850–2020, along with the uncertainty range from HadCRUT5.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b:\r\n - IndermediateData_Figure-2_11-HadCRUT_significance_overlay_1981-2020.txt\r\n - IntermediateData_Figure-2_11-HadCRUT_significance_overlay_1900-1980.txt\r\n - IntermediateData_Figure-2_11-HadCRUT_trends_1900-1980.txt\r\n - IntermediateData_Figure-2_11-HadCRUT_trends_1981-2020.txt\r\n \r\n Panel c:\r\n - Figure_2_11c-lower_panel.csv; relates to the lower part of the figure. (black line, column 2, HadCRUT 5.0; cyan line, column 3, NOAA Global Temp; pink line, column 4, Berkeley Earth; orange line, column 5, Kadow et al.; grey shadow, columns 6 and 7, HadCRUT confidence limit)\r\n\r\nHadCRUT5 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period produced by the Met Office Hadley Centre. \r\nNOAA Global Temp is a gridded dataset of global historical surface temperature anomalies relative to a 1971-2000 reference period produced by the National Oceanic and Atmospheric Administration. \r\nBerkeley Earth is a global historical land-ocean temperature index produced by Berkeley Earth.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Figure 2.11b - this is an ASCII grid (described in Figure_2_11-notes_on_HadCRUT_trend_files.txt) with a significance overlay. Should be approximately reproducible with any standard software to produce maps from gridded data.\r\n\r\n\r\nFigure 2.11c (lower panel), link to the code to reproduce this part of the figure is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 39189, "uuid": "7a7630213de543a9a19c7015dc198970", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.38 (v20221115)", "abstract": "Data for Figure 2.38 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.38 shows indices of multi-decadal climate variability from 1854-2019 based upon several sea surface temperature data products.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - AMV.nc contains Atlantic Multidecadal Variability (AMV) index from COBE, ERSST, HADI and KAPL.\r\n - PDV.nc contains PDV index from COBE, ERSST, HADI and KAPL.\r\n \r\n Data acronyms:\r\n COBE [Objective Analyses of Sea-Surface Temperature and Marine Meteorological Variables for the 20th Century using ICOADS and the Kobe Collection].\r\n ERSST [NOAA Extended Reconstructed Sea Surface Temperature].\r\n HADI [Hadley Centre Sea Ice and Sea Surface Temperature data set].\r\n KAPL [Kaplan Extended SST].\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel:\r\n - Data file: AMV.nc (10-year-filtered, yearly data, 1854-2019)\r\n \r\n Lower panel:\r\n - Data file: PDO.nc (10-year-filtered, yearly data, 1854-2019)\r\n \r\n In all the cases: - Blue line corresponds to COBE data set\r\n - Red correspinds to ERSST data set\r\n - Skyblue corresponds to HADI data set\r\n - Green corresponds to KAPL data set\r\n \r\n All sources in every nc file are arranged in columns 1 to 4, respectively.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n- Link to the Supplementary Material for Chapter 2\r\n- Link to code for figure (archived on Zenodo)" }, { "ob_id": 33342, "uuid": "967313bee45c48998c5027896e3da53c", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.13 (v20211126)", "abstract": "Data for Figure 2.13 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.13 shows the global trends in surface specific humidity and surface relative humidity over 1973 - 2019\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panel (b) and (d) in one single file (qrh2.csv). Code for plotting panels (a) and (c) is archived on zenodo and a link is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time-series of observed global average surface specific and relative humidity during 1973-2019\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel b. Global average surface specific humidity annual anomalies (1981–2010 base period):\r\n \r\n - Data file: qrh2.csv - column 2 cyan solid line\r\n - Data file: qrh2.csv - column 3 orange solid line\r\n - Data file: qrh2.csv - column 4 blue solid line\r\n - Data file: qrh2.csv - column 5 black solid line\r\n\r\n\r\nPanel d. Global average surface relative humidity annual anomalies (1981–2010 base period):\r\n - Data file: qrh2.csv - column 7 cyan solid line\r\n - Data file: qrh2.csv - column 8 orange solid line\r\n - Data file: qrh2.csv - column 9 blue solid line\r\n - Data file: qrh2.csv - column 10 black solid line\r\n\r\nRH stands for relative humidity.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2).\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1.\r\n - Link to input data figure 2.13.\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34599, "uuid": "c6f19b27f8e74e98968c17c8e1f74c60", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.5 (v20221116)", "abstract": "Data for Figure 2.5 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.5 shows globally-averaged dry-air mole fractions of CO2, CH4, and N2O derived from surface observations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a, b, c), and each panel contains an insert. Data provided for all panels in one single file (Data_Figure_2_5.csv).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time series for:\r\n \r\n - Observed atmospheric global carbon dioxide (CO2) (1958-2019).\r\n - Observed atmospheric global methane (CH4) (1979-2019).\r\n - Observed atmospheric global nitrous oxide (N2O) (1979-2019).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 2, grey line.\r\n - Data file Data_Figure_2_5.csv, column 17, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 29, yellow line.\r\n\r\n\r\nInset panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 3, grey line.\r\n - Data file Data_Figure_2_5.csv, column 18, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 30, yellow line.\r\n\r\n\r\nPanel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 5, grey line.\r\n - Data file Data_Figure_2_5.csv, column 20, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 11, red line.\r\n - Data file Data_Figure_2_5.csv, column 26, green circles.\r\n\r\n\r\nInset panel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 6, grey line.\r\n - Data file Data_Figure_2_5.csv, column 21, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 12, red line.\r\n - Data file Data_Figure_2_5.csv, column 27, green line.\r\n\r\n\r\nPanel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 8, grey line.\r\n - Data file Data_Figure_2_5.csv, column 23, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 14, red line.\r\n\r\n\r\nInset panel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 9, grey line.\r\n - Data file Data_Figure_2_5.csv, column 24, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 15, red line.\r\n\r\n\r\nAcronyms: \r\nNOAA - National Oceanic and Atmospheric Administration\r\nAGAGE - Advanced Global Atmospheric Gases Experiment\r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" }, { "ob_id": 37684, "uuid": "2a1284ec9d564f679480ee013b733ae1", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.16 (v20220630)", "abstract": "Input data for Figure 2.16 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.16 provides global precipitation minus evaporation trend maps and time series from a variety of data sources\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for all panels in the main directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The datasets contains:\r\n \r\n - Global precipitation and evaporation data from ERA5 reanalysis\r\n - Time series of global, land-only and ocean-only average annual P–E (mm day–1) from the following reanalysis products: 20CRv3, ERA5, ERA20CM, MERRA, CFSR, ERA20C, JRA55 and MERRA2.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data files: IntermediateData_era5_evap_2.nc and era5_tp_2.nc\r\n \r\n Panel b:\r\n - Data file: GPME2.csv and GPME2.mat\r\n \r\n Panel c:\r\n - Data file: LPME2.csv and LPME2.mat\r\n \r\n Panel d:\r\n - Data file: OPME2.csv and OPME2.mat\r\n \r\n For panels b to d:\r\n I. Column 2: orange solid line\r\n II. Column 3: cyan solid line\r\n III. Column 4: black solid line\r\n IV. Column 5: grey solid line\r\n V. Column 6: blue solid line\r\n VI. Column 7: dark green solid line\r\n VII. Column 8: brown solid line\r\n VIII. Column 9: green solid line\r\n\r\n 20CRv3 is the NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3.\r\n ERA5 is a reanalysis of the global climate from 1950 to present, developed by ECMWF.\r\n ERA20CM is a twentieth century atmospheric model ensemble developed by ECMWF.\r\n MERRA stands for Modern-Era Retrospective analysis for Research and Applications.\r\n CFSR stands for Climate Forecast System Reanalysis.\r\n ERA20C is the first atmospheric reanalysis of the 20th century, from 1900-2010, developed by ECMWF.\r\n JRA55 stands for Japanese 55-year Reanalysis.\r\n MERRA2 stands for Modern-Era Retrospective analysis for Research and Applications, version 2.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Additional information to correctly reproduce the figure in the corresponding readme files for code archived on Zenodo (see the link to code provided in the Related Documents section of this catalogue record).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38889, "uuid": "156e64bca5e1460d81a58f416dcc9aca", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.9 (v20221111)", "abstract": "Data for Figure 2.9 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.9 shows aerosol evolution from ice-core measurements. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels with data provided for panels a and b in subdirectories named panel_a and panel_b\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n Panel a:\r\n - Concentration of non-sea salt sulphate (ng g-1) (10-yr averaged time series) (1750-2019).\r\n \r\n Panel b:\r\n - Black carbon in glacier ice form the Artic, Russia, Europe, South America, Antarctica and Greenland (10-yr averaged time series) (1700-2019).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file: panel_a/fig_2_9a_ice-core_data_sulfate.csv column 2, dark orange line\r\n - Data file: panel_a/fig_2_9a_ice-core_data_sulfate.csv column 3, cyan line\r\n - Data file: panel_a/fig_2_9a_ice-core_data_sulfate.csv column 4, blue line\r\n - Data file: panel_a/fig_2_9a_ice-core_data_sulfate.csv column 5, light orange line\r\n - Data file: panel_a/fig_2_9a_ice-core_data_sulfate.csv column 6, green line\r\n \r\n Panel b:\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 2, dark orange line\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 3, light blue line\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 4, cyan line\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 5, red line\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 6, blue line\r\n - Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 7, light orange line\r\n- Data file: panel_b/fig_2_9b_ice-core_data_BC.csv column 8, green line\r\n\r\nUnits ng g-1 stands for nanogram per gram.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37707, "uuid": "e9f67cfb456845b3b406328c6ae43e2d", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.12 (v20220701)", "abstract": "Data for Figure 2.12 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.12 shows changes in temperature through the troposphere and stratosphere, both on near-global scales and in the tropics.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels, with data provided for panel a.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed temperature anomaly trends for 2002-2019 from the ROM SAF dataset, plotted as a trend/height/latitude contour plot.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 2.12:\r\n \r\n - Data file: Figure_2_12a_data_file.nc: tdry_trends filled contours plot\r\n - Data file: Figure_2_12a_data_file.nc: lrt_temprature_altitude grey line\r\n\r\nROM SAF stands for Radio Occultation Meteorology Satellite Application Facilities.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a) is plotted using standard matplotlib software. \r\nThere are notes guiding the user to reproduce the figure in the code associated to this dataset. Link to the code that reproduces the figure in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Link to input data figure 2.12.\r\n- Link to the code for the figure, archived on Zenodo." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145875, 145874, 145873, 145872, 145871, 145870, 145869, 145868, 168294, 205781, 205782 ], "onlineresource_set": [ 42837, 80252 ], "project_set": [ 32705 ] }, { "ob_id": 32718, "uuid": "932c79b1f7cd4f34b7c542f316f39c17", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 3: Human influence on the climate system.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 3.2\r\n- data for Figure 3.3\r\n- data for Figure 3.4\r\n- data for Figure 3.5\r\n- data for Figure 3.6\r\n- data for Figure 3.7\r\n- data for Figure 3.8\r\n- data for Figure 3.9\r\n- data for Figure 3.10\r\n- data for Figure 3.11\r\n- data for Figure 3.12\r\n- data for Figure 3.13\r\n- data for Figure 3.14\r\n- data for Figure 3.15\r\n- data for Figure 3.16\r\n- data for Figure 3.17\r\n- data for Figure 3.18\r\n- data for Figure 3.19\r\n- data for Figure 3.20\r\n- data for Figure 3.21\r\n- data for Figure 3.22\r\n- data for Figure 3.23\r\n- data for Figure 3.24\r\n- data for Figure 3.25\r\n- data for Figure 3.26\r\n- data for Figure 3.27\r\n- input data for Figure 3.27\r\n- data for Figure 3.28\r\n- input data for Figure 3.28\r\n- data for Figure 3.29\r\n- data for Figure 3.30\r\n- data for Figure 3.31\r\n- data for Figure 3.32\r\n- data for Figure 3.33\r\n- data for Figure 3.34\r\n- data for Figure 3.35\r\n- data for Figure 3.36\r\n- data for Figure 3.37\r\n- data for Figure 3.38\r\n- data for Figure 3.39\r\n- data for Figure 3.40\r\n- data for Figure 3.41\r\n- data for Figure 3.42\r\n- data for Figure 3.43\r\n- data for Figure 3.44\r\n- data for Cross-Chapter Box 3.1.1\r\n- data for Cross-Chapter Box 3.2.1\r\n- data for FAQ 3.1, Figure 1\r\n- data for FAQ 3.2., Figure 1\r\n- data for FAQ 3.3, Figure 1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 3, Human influence, Large-scale indicators, Natural variability, Anthropogenically-forced change, Observed changes", "publicationState": "published", "dataPublishedTime": "2022-02-04T18:09:21", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 37567, "uuid": "ceae289f1a56414ea708f43db83fc2c6", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.27 (v20220616)", "abstract": "Data for Figure 3.27 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.27 shows maps of multi-decadal salinity trends for the near-surface ocean.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically there are two panels, they are named in the datasets as top and bottom, but the data is stored in the parent directory. Data provided for bottom panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains salinity data:\r\n \r\n - climatological mean from CMIP6 models (1950-2014)\r\n - simulated trend from CMIP6 models (1950-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - ocean_salinity_cmip6.nc: climatological salinity (1950-2014) from CMIP6 models (black contours) in a bottom panel\r\n - ocean_salinity_trends_cmip6.nc: salinity trends (1950-2014) from CMIP6 models (colored shades) in a bottom panel\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data from here (top panel) is taken from the file:\r\n\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The field of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). The file was archived as input data for Figure 2.27. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to input data figure 2.27\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33446, "uuid": "25d4a6597d954721bc4a616d094b0cda", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.32 (v20211210)", "abstract": "Data for Figure 3.32 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.32 shows relative change in the amplitude of the seasonal cycle of global land carbon uptake in the historical CMIP6 simulations from 1961-2014. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Observed seasonal cycle amplitude of global land carbon uptake\r\n - Simulated seasonal cycle amplitude of global land carbon uptake\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_3_32_main.nc:\r\n \r\n - Multi-Model Mean: dim0 = 0, red solid line. [red shaded region: (dim0=0) +- (dim0=1))]\r\n - JMA-TRANSCOM: dim0 = 2, black dotted line.\r\n - CO2-MLO: dim0 = 3, black solid line. [black shaded region: (dim0=3) +- (dim0=4))]\r\n - CO2-GLOBAL: dim0 = 5, black dashed line.\r\n\r\nfig_3_32_inset.nc:\r\n \r\n - Multi-Model Mean for 1961-1970 (orange): dim0 = 0 (shaded region(dim0=0) +- (dim0=1))\r\n - Multi-Model Mean for 2005-2014 (green): dim0 = 2 (shaded region(dim0=2) +- (dim0=3))\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website." }, { "ob_id": 37385, "uuid": "4394898334094551bfb29fb37d2f054c", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.2 (v20220610)", "abstract": "Data for Figure 3.2 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.2 shows changes in surface temperature for different paleoclimates.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three subpanels, the data provided for all panels in subdirectories named panel_a, panel_b, panel_c\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n For panel (a):\r\n - PMIP3 global temperature anomalies over continents and oceans reconstruction sites\r\n - PMIP4 CMIP6 global temperature anomalies over continents and oceans reconstruction sites\r\n - PMIP4 non-CMIP6 global temperature anomalies over continents and oceans reconstruction sites\r\n - Tierney 2020 reconstructions of marine temperature\r\n - Cleator 2020 reconstructions of continental temperature\r\n \r\n For panel (b):\r\n - CMIP5 temperature data for paleoclimate periods\r\n - CMIP6 temperature data for paleoclimate periods\r\n - non-CMIP temperature data for paleoclimate periods\r\n - Instrumental observational and observations from reconstructions\r\n \r\n For panel (c):\r\n - Volcanic forcing from TS17, CU12, GRA08\r\n - CMIP6 GMST anomaly with respect to 1850-1900 modelled with TS17 volcanic forcing\r\n - CMIP5 GMST anomaly with respect to 1850-1900 modelled with CU12 volcanic forcing\r\n - CMIP5 GMST anomaly with respect to 1850-1900 modelled with GRA08 volcanic forcing\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/temperature_anomalies_scatter_points.csv relates to the scatter points and their standard deviation for panel (a)\r\n - For panel (b) the datasets are stored as following panel_b/temperature_{color}_{marker}_{period}_{model_group}_{additional_info}.csv and relates to the scatter points for panel (b).\r\n - For panel (c) the data is stored in panel_c/gmst_changes_paleo_volcanic_forcings.csv and relates to red, green, blue and black lines on the panel as well as grey shadings.\r\n Additional information about data provided in relation to figure in files headers.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4\r\nPMIP3 is the Paleoclimate Modelling Intercomparison Project phase 3\r\n\r\n ---------------------------------------------------\r\n Temporal Range of Paleoclimate Data\r\n ---------------------------------------------------\r\n This dataset covers a paleoclimate timespan from 56 Ma (56 million years ago) to 2010.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n For panel (a) the error bar should be plotted as anomalies from columns 2/4 +/- standard deviation. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website." }, { "ob_id": 37394, "uuid": "bf3d0b8a8c0d4ae19cfd994b6fef4a5c", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.8 (v20220613)", "abstract": "Data for Figure 3.8 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.8 shows assessed contributions to observed warming, and supporting lines of evidence.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains the drivers of the attributable warming (2010-2019 relative to 1850-1900):\r\n \r\n - Observed global warming (2010-2019)\r\n - Global warming and its drivers reported in the literature sources (2010-2019)\r\n - Global warming and its drivers calculated from CMIP6 models (2010-2019)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - drivers_observed_warming.csv has data for the shadings and markers in the figure.\r\n Additional details of data provided in relation to figure in the file header (BADC-CSV file).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34584, "uuid": "4e80c4a2933344259a3f423715771952", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.16 (v20220105)", "abstract": "Data for Figure 3.16 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.16 shows observed and simulated changes in Hadley cell extent and Walker circulation strength.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n \r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Modelled and observed trends of the Northern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014\r\n - Modelled and observed trends of the Southern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014\r\n - Modelled and observed trends of the Southern Hemisphere December-January-February subtropical edge latitude of the Hadley cell for 1981-2000\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1901-2010\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1951-2010\r\n - Modelled and observed trends of the annual-mean Walker circulation strength for 1980-2014\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - lat in panel_a/NHedge_ANN_1980-2014_ERA-Interim.nc; black dotted line\r\n - lat in panel_a/NHedge_ANN_1980-2014_ERA5.nc; black solid line\r\n - lat in panel_a/NHedge_ANN_1980-2014_JRA-55.nc; black dash-dotted line\r\n - lat in panel_a/NHedge_ANN_1980-2014_MERRA2.nc; black dashed line\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6amip.nc; multimodel ensemble mean and percentiles for orange open box-whisker\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_1980-2014_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots\r\n - lat in panel_a/NHedge_ANN_35yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker\r\n \r\n Panel b: As Panel a, but with\r\n - lat in panel_b/SHedge_ANN_1980-2014_ERA-Interim.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_ERA5.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_JRA-55.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_MERRA2.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip5hist.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6GHG.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6aer.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6amip.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6hist.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6nat.nc\r\n - lat in panel_b/SHedge_ANN_1980-2014_cmip6stratO3.nc\r\n - lat in panel_b/SHedge_ANN_35yrs_cmip6pi.nc\r\n \r\n Panel c: As Panel a, but with\r\n - lat in panel_c/SHedge_DJF_1981-2000_ERA-Interim.nc; ERA-Interim\r\n - lat in panel_c/SHedge_DJF_1981-2000_ERA5.nc; ERA5\r\n - lat in panel_c/SHedge_DJF_1981-2000_JRA-55.nc; JRA-55\r\n - lat in panel_c/SHedge_DJF_1981-2000_MERRA2.ncl MERRA2\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip5hist.nc; CMIP5 historical-RCP4.5\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6GHG.nc; CMIP6 hist-GHG\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6aer.nc; CMIP6 hist-aer\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6amip.nc; CMIP6 AMIP\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6hist.nc; CMIP6 historical\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6nat.nc; CMIP6 hist-nat\r\n - lat in panel_c/SHedge_DJF_1981-2000_cmip6stratO3.nc; CMIP6 hist-stratO3\r\n - lat in panel_c/SHedge_DJF_20yrs_cmip6pi.nc; CMIP6 piControl\r\n \r\n Panel d:\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_20CRv3.nc; max-min range for grey diagonal hatching\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_CERA-20C.nc; max-min range for grey vertical hatching\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_ERA-20C.nc; grey dashed line\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_HadSLP2.nc; grey solid line\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6amip-hist.nc; multimodel ensemble mean and percentiles for orange open box-whisker\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots\r\n - dslp in panel_d/WalkerStrength_ANN_110yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker\r\n \r\n Panel e: As Panel d, but with\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_20CRv3.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_CERA-20C.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_ERA-20C.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_HadSLP2.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip5hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6GHG.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6aer.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6amip-hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6hist.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6nat.nc\r\n - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6stratO3.nc\r\n - dslp in panel_e/WalkerStrength_ANN_60yrs_cmip6pi.nc\r\n \r\n Panel f: As Panel d, but with\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_20CRv3.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA-Interim.nc; black dotted line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA5.nc; black solid line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_JRA-55.nc; black dashed-dotted line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_MERRA2.nc; black dashed line\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip5hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6GHG.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6aer.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6amip-hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6hist.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6nat.nc\r\n - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6stratO3.nc\r\n - dslp in panel_f/WalkerStrength_ANN_35yrs_cmip6pi.nc\r\n\r\nAcroynms: \r\nAnn - Annual GHG - Greenhouse gas, aer - aerosol, CMIP - Coupled Model Intercomparison Project, 20CRv3 - NOAA-CIRES-DOE Twentieth Century Reanalysis (V3), CERA-20C - Coupled climate reanalyses of the 20th century, HadSLP2 - Hadley Centre Sea Level Pressure dataset (HadSLP2), AMIP - Atmospheric Model Intercomparison Project (AMIP), JRA - The Japanese 55-year Reanalysis (JRA-55), MERRA-2 - Global Modeling and Assimilation Office - NASA.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Ensemble mean, interquartile ranges and 5th and 95th percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, i.e. the inverse of the numbers given as the esize attribute in each variable.\r\n \r\nSuppose X(i) is the array of lat, and w(i) is the corresponding weight.\r\n\r\n- Mean should be suｍ_i(X(i) * w(i)) / sum_i(w(i))\r\n- For percentile values, \r\n 1. Sort X and w so that X is in the ascending order\r\n 2. Accumulate w until i = j so that accumulated(w)/sum_i(w(i)) equals or exceeds the specified percentile level (e.g. 0.05)\r\n 3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n- Finally, multiply by 10 all numbers for unit conversion.\r\n \r\nFilled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. Model ID of each ensemble member is given as the model_id attribute in each variable. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo" }, { "ob_id": 37517, "uuid": "dce3253d984c4342899b01548f52ba5f", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.25 (v20220614)", "abstract": "Data for Figure 3.25 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.25 shows CMIP6 potential temperature and salinity biases for the global ocean, Atlantic, Pacific and Indian Oceans.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are panels (a), (b), (c), (d), (e), (f), (g), (h). The data is in respective subdirectories.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains modelled and observational ocean data (1981-2010) for different ocean basins (global, Atlantic, Pacific, Indian): \r\n \r\n - Potential temperature from WOA18 observations\r\n - Salinity from WOA18 observations\r\n - Potential temperature bias (CMIP6 - WOA18)\r\n - Salinity bias (CMIP6 - WOA18)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a\r\n - panel_a/potential_temperature_bias_global_panel_a.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_a/WOA_potential_temperature_global_panel_a.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel b\r\n - panel_b/salinity_bias_global_panel_b.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_b/WOA_salinity_global_panel_b.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel c\r\n - panel_c/potential_temperature_bias_atlantic_panel_c.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_c/WOA_potential_temperature_atlantic_panel_c.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel d\r\n - panel_d/salinity_bias_atlantic_panel_d.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_d/WOA_salinity_atlantic_panel_d.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel e\r\n - panel_e/potential_temperature_bias_pacific_panel_e.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_e/WOA_potential_temperature_pacific_panel_e.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel f\r\n - panel_f/salinity_bias_pacific_panel_f.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_f/WOA_salinity_pacific_panel_f.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n \r\n Panel g\r\n - panel_g/potential_temperature_bias_indian_panel_g.nc: data for colored filled contours showing temperature bias from 1981 to 2010\r\n - panel_g/WOA_potential_temperature_indian_panel_g.nc: data for black contours showing WOA18 temperature from 1981 to 2010\r\n \r\n Panel h\r\n - panel_h/salinity_bias_indian_panel_h.nc: data for colored filled contours showing salinity bias from 1981 to 2010\r\n - panel_h/WOA_salinity_indian_panel_h.nc: data for black contours showing WOA18 salinity from 1981 to 2010\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37604, "uuid": "f38913d950694e3e8f0a19d0dc7f378e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.11 (v20220620)", "abstract": "Data for Figure 3.11 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.11 shows a comparison between simulated annual precipitation changes and pollen-based reconstructions at the mid-Holocene (6,000 years ago).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - area-averaged precipitation changes over five regions (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa) as simulated by CMIP6 models\r\n - area-averaged precipitation changes over five regions (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa) as simulated by CMIP5 models.\r\n - pollen-based MAP reconstructions points within the region (Northern Europe, Western and Central Europe, Mediterranean, Sahara/Sahel, West Africa)\r\n\r\n\r\nThese data are also available from a pre-existing GitHub repository which can be found under 'Sources of additional information' and the related documents.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n map_midHolocene_reconstructions.csv shows the data for bars in each region in the figure.\r\n map_midHolocene_models.csv shows the data for the multicolored circles in each region in the figure. The colors represent different models.\r\n Additional data about data provided in relation to figure can be found in the files headers.\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan, starting and ending at 6000 years ago. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n- Link to the external GitHub repository also containing the figure data.\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33192, "uuid": "8c9c35e4c877440abcaa10b9aa173c33", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.14 (v20211001)", "abstract": "Data for Figure 3.14 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.14 shows wet and dry region tropical mean (30°S-30°N) annual precipitation anomalies.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains timeseries (1988-2020) of annual precipitation anomalies from\r\n\r\n - observation (GPCP)\r\n - reanalysis (ERA5)\r\n - multi-model mean (CMIP6)\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/AR6_WG1_Chap3_Figure3_14_panel_a_wetdry.csv (timeseries for wet regions)\r\n - panel_b/AR6_WG1_Chap3_Figure3_14_panel_b_wetdry.csv (timeseries for dry regions)\r\n - panel_c/AR6_WG1_Chap3_Figure3_14_panel_c_wetdry.csv (scaling factors for wet regions)\r\n - panel_d/AR6_WG1_Chap3_Figure3_14_panel_d_wetdry.csv (scaling factors for dry regions)\r\n Details on data provided in relation to each figure panel and its elements in the metadata associated to the corresponding files.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37584, "uuid": "babcd0de678e4d10aef395f1a265da03", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.37 (v20220620)", "abstract": "Data for Figure 3.37 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.37 shows observed and simulated seasonality of ENSO.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels. All the data are provided in enso_seasonality.nc.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Climatological standard deviation of the ENSO index\r\n - A seasonality metric of the ENSO index\r\n \r\n in observations, CMIP5 historical-RCP4.5 and CMIP6 historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - stdv_enso_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - stdv_enso_cmip5: Climatological standard deviation of the ENSO index time series in each ensemble member of CMIP5 models blue curve and shading\r\n - stdv_enso_cmip6: Climatological standard deviation of the ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 - 444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n \r\n Panel b:\r\n - seasonality_enso_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - seasonality_enso_cmip5; Seasonality metric in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - seasonality_enso_cmip6; Seasonality metric in each ensemble member of CMIP6 models; red dots, with their multimodal ensemble mean and percentiles for the red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 - 444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n\r\n\r\nAcronyms - ENSO - El Niño–Southern Oscillation, CMIP - Coupled Model Intercomparison Project, RCP - Representative Concentration Pathway, ERSST - Extended Reconstructed Sea Surface Temperature, HadISST - Hadley Centre Sea Ice and Sea Surface Temperature, ACCESS- CM2 – Australian Community Climate and Earth System Simulator coupled climate model, ACCESS- ESM – Australian Community Climate and Earth System Simulator Earth system model, AWI - Alfred Wegener Institute, BCC-CSM - Beijing Climate Center Climate System Model, CAMS - Chinese Academy of Meteorological Sciences, CanOE - Canadian Ocean Ecosystem, CESM2 - Community Earth System Model, WACCM - Whole Atmosphere Community Climate Model, CIESM - Community Integrated Earth System Model, CNCC - Centro Euro-Mediterraneo per I Cambiamenti Climatici, CNRM - Centre National de Recherches Météorologiques, E3SM - Energy Exascale Earth System Model, FGOALS - Flexible Global Ocean-Atmosphere-Land System Model, FIO-ESM - First Institute of Oceanography Earth System Model, GFDL - Geophysical Fluid Dynamics Laboratory, GISS - Goddard Institute for Space Studies, IITM - Indian Institute of Tropical Meteorology, INM - Institute for Numerical Mathematics, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, MIROC - Model for Interdisciplinary Research on Climate, MPI - Max-Planck-Institut für Meteorologie, NESM - Nanjing University of Information Science and Technology Earth System Model, NorCPM - Norwegian Climate Prediction Model, SAM0-UNICON - Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme (SAM0-UNICON), TaiESM1 - Taiwan Earth System Model version 1, UKESM - The UK Earth System Modelling project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is provided as the weight attribute of ens_cmip5 and ens_cmip6.\r\n \r\n If X(i) is the array, and w(i) the corresponding weight.\r\n\r\n- Mean shoud be suｍ_i(X(i) * w(i)) / sum_i(w(i))\r\n\r\n- For percentile values, \r\n\r\n1. Sort X and w so that X is in the ascending order\r\n\r\n2. Accumulate w until i = j so that accumulated(w)/sum_i(w(i)) equals or exceeds the specified percentile level (e.g. 0.05)\r\n\r\n3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33394, "uuid": "f7c3f3cbf65447b9a43207dcc30219d9", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 3.28 (v20220621)", "abstract": "Input Data for Figure 3.28 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.28 shows long-term trends in halosteric and thermosteric sea level in CMIP6 models and observations. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The data is used in left upper and left lower panels (scatter panels), as well as right upper panels (D&W, EN4, Ishii) \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n 210127_DurackandWijffels_V1.0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc is input data for D&W. The variables steric_height_halo_anom_depthInterp and steric_height_thermo_anom_depthInterp are used.\r\n 210201_EN4.2.1.g10_annual_steric_1950-2019_5-5350m.nc is input data for EN4\r\n 210201_Ishii17_v7.3_annual_steric_1955-2019_0-3000m.nc is input data for Ishii\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n This data is an input observational data for the Figure 3.28. It is used for scatter plots and contour maps.\r\n In addition, shapefiles are required to calculate the regional boundaries: Pacific.shp, Atlantic.shp. These regions should be standarised throught AR6.\r\n\r\n\r\nThe following changes to filenames were made to archive the data (due to filenaming restrictions). To use the data with any associated figure code, the filenames should be reverted.\r\n\r\n 210127_DurackandWijffels_V1_0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc -> 210127_DurackandWijffels_V1.0_70yr_steric_1950-2019_0-2000db_210122-205355_beta.nc \r\n 210201_EN4_2_1_g10_annual_steric_1950-2019_5-5350m.nc -> 210201_EN4.2.1.g10_annual_steric_1950-2019_5-5350m.nc \r\n 210201_Ishii17_v7_3_annual_steric_1955-2019_0-3000m.nc -> 210201_Ishii17_v7.3_annual_steric_1955-2019_0-3000m.nc \r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33164, "uuid": "b6ca8b2d797348dd86823cfc2da7ba83", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.5 (v20211001)", "abstract": "Data for Figure 3.5 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.5 shows the standard deviation of annually averaged zonal-mean near-surface air temperature.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Simulated (CMIP6) standard deviation of near-surface air temperature\r\n - Observed standard deviation of near-surface air temperature\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nDatafile: fig_3_5.nc, black lines:\r\n - HadCRUT5: model = 62\r\n - BerkleyEarth: model = 61\r\n - NOAAGlobalTemp-Interim: model = 60\r\n - Kadow: model = 59\r\n - colored lines: model = 0, 1, ..., 58\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33152, "uuid": "84fd20b6e5a04271a007e2150eb17c7e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.18 (v20211001)", "abstract": "Data for Figure 3.18 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.18 shows instantaneous Northern-Hemisphere blocking frequency (% of days) in the extended northern winter season (DJFM) for the years 1979-2000. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains blocking freuency (1979-2000) of\r\n \r\n - ERA5 reanalysis\r\n - CMIP5 and CMIP6 multi-model mean\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n AR6_WG1_Chap3_Figure3_18_blocking.csv (lines and shading)\r\n Corresponding line and shading colours are described in the metadata associated with the datafile\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33180, "uuid": "e3d21f98cc764d1185b0d6e662532831", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.42 (v20211001)", "abstract": "Data for Figure 3.42 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.42 shows relative space-time root-mean-square deviation (RMSD) calculated from the climatological seasonal cycle of the CMIP simulations (1980-1999) compared to observational datasets. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the grade value of the performance metrics for all diagnostics (variables) and models.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/fig_3_42_a.nc and panel_b/fig_3_42_b.nc:\r\n \r\n - variable 'grade' with three dimensions:\r\n * 'diagnostics': variables on the y-axis of the metrics plot\r\n * 'models': models on the x-axis of the metrics plot\r\n * 'reference': 0: upper triangle; 1: lower triangle\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33132, "uuid": "ba3ac68281b94c7b9963278681ee8ee5", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.13 (v20211001)", "abstract": "Data for Figure 3.13 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.13 shows annual-mean precipitation rate (mm day-1) for the period 1995-2014.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global modelled annual-mean precipitation (mm/day) of CMIP6 for the period 1995–2014\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP6 for the period 1995–2014 to GPCP\r\n - Global root mean square bias of modelled precipitation (mm/day) of CMIP6 for the period 1995–2014 to GPCP\r\n - Global bias of modelled annual-mean precipitation (mm/day) of CMIP5 for the period 1985–2004 to GPCP\r\n\r\nGPCP is the Global Precipitation Climatology Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_13_a.nc\r\n - panel_b/fig_3_13_b.nc\r\n - panel_c/fig_3_13_c.nc\r\n - panel_d/fig_3_13_d.nc\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33440, "uuid": "4fe1afacdc524c118989c16a1bccd51e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.33 (v20211209)", "abstract": "Data for Figure 3.33 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.33 shows observed and simulated Northern Annular Mode (NAM), North Atlantic Oscillation (NAO) and Southern Annular Mode (SAM) in boreal winter. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for panels (a), (d), (g) and (j) in the subdirectory named panel_adgj, panels (b), (e), (h) and (k) in the subdirectory named panel_behk, and panels (c), (f), (i) and (l) in the subdirectory named panel_cfil. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n - Observed sea level pressure anomalies associated with NAM.\r\n - Observed sea level pressure anomalies associated with NAO.\r\n - Observed sea level pressure anomalies associated with SAM.\r\n - Simulated sea level pressure anomalies associated with NAM.\r\n - Simulated sea level pressure anomalies associated with NAO.\r\n - Simulated sea level pressure anomalies associated with SAM.\r\n - Taylor statistics of sea level pressure anomalies associated with NAM.\r\n - Taylor statistics of sea level pressure anomalies associated with NAO.\r\n - Taylor statistics of sea level pressure anomalies associated with SAM.\r\n - 1958-2014 trends of the NAM index.\r\n - 1958-2014 trends of the NAO index.\r\n - 1979-2014 trends of the SAM index.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - nam_patterns(0, :, :) in panel_adgj/nam.obs.nc; shading\r\n - nam_pattern_significance in panel_adgj/nam.obs.nc; cross marker\r\n \r\n Panel b:\r\n - nao_patterns(0, :, :) in panel_behk/nao.obs.nc; shading\r\n - nao_pattern_significance in panel_behk/nao.obs.nc; cross marker\r\n \r\n Panel c:\r\n - sam_patterns(0, :, :) in panel_cfil/sam.obs.nc; shading\r\n - sam_pattern_significance in panel_cfil/sam.obs.nc; cross marker\r\n\r\n Panel d:\r\n - nam_patterns in panel_adgj/nam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel e: \r\n - nao_patterns in panel_behk/nao.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel f: \r\n - sam_patterns in panel_cfil/sam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching\r\n \r\n Panel g: \r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - nam_tay_stat(:, 0:1) in panel_adgj/nam.obs.nc: black dots\r\n \r\n Panel h: \r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - nao_tay_stat(:, 0:1) in panel_behk/nao.obs.nc: black dots\r\n \r\n Panel i: \r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for the orange dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot\r\n - sam_tay_stat(:, 0:1) in panel_cfil/sam.obs.nc: black dots\r\n \r\n Panel j: \r\n - nam_pc_trends in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - nam_pc_trends in panel_adgj/nam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - nam_pc_trends in panel_adgj/nam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - nam_pc_trends in panel_adgj/nam.obs.nc: black vertical lines\r\n \r\n Panel k: \r\n - nao_pc_trends in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - nao_pc_trends in panel_behk/nao.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - nao_pc_trends in panel_behk/nao.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - nao_pc_trends in panel_behk/nao.obs.nc: black vertical lines\r\n \r\n Panel l: \r\n - sam_pc_trends in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line\r\n - sam_pc_trends in panel_cfil/sam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line\r\n - sam_pc_trends in panel_cfil/sam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line\r\n - sam_pc_trends in panel_cfil/sam.obs.nc: black vertical lines\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and histograms are obtained after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\nMultimodel ensemble mean of the pattern correlation in Taylor statistics is calculated via Fisher z-transformation and back transformation.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33155, "uuid": "03cc44f98b0e4a4b97df37662e62be79", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.3 (v20211001)", "abstract": "Data for Figure 3.3 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.3 shows the global annual-mean surface (2 m) air temperature (°C) and the model bias to ERA5.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Global modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global root mean square bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP5 for the period 1985–2004 to reanalysis ERA5\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/tas_mean_cmip6.nc; global map\r\n - panel_b/tas_bias_cmip6.nc; global map\r\n - panel_c/tas_rms_bias_cmip6.nc; global map\r\n - panel_d/tas_bias_cmip5.nc; global map\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37526, "uuid": "ef5ca18bcaf441d9993f181a058016ba", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.35 (v20220614)", "abstract": "Data for Figure 3.35 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.35 shows Southern Annular Mode indices in the last millennium. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, and all the data are provided in sam_millennium.nc. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual SAM reconstructions.\r\n - Annual-mean SAM index by CMIP5 and CMIP6 Last Millennium simulations extended by historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - sam_abram_runmean, sam_datwyler_runmean: thin blue and brown lines\r\n - sam_abram_lowpass, sam_datwyler_lowpass: thick blue and brown lines\r\n\r\nPanel b:\r\n - sam_cmip_runmean: thin lines\r\n . MIROC-ES2L: ensemble = 10 (violet)\r\n . MRI-ESM2-0: ensemble = 11 (green)\r\n . CMIP5: ensemble = 1, 2, 3, 4, 5, 6, 7, 8, 9 (grey)\r\n - sam_cmip_lowpass: thick lines\r\n . MIROC-ES2L: ensemble = 10 (violet)\r\n . MRI-ESM2-0: ensemble = 11 (green)\r\n . CMIP5: ensemble = 1, 2, 3, 4, 5, 6, 7, 8, 9 (grey)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33161, "uuid": "06a4ad1656774087a5b6db3c7a57211e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.4 (v20211028)", "abstract": "Data for Figure 3.4 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.4 shows observed and simulated time series of the anomalies in annual and global mean near-surface air temperature (GSAT). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Observed and simulated global near-surface air temperature change (1850-2014) with uncertainty range for simulated time series.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\npanel_a/fig_3_4_panel_a.nc\r\n- black line: model = 60\r\n- red line: model = 59\r\n- colored lines: model = 0, 1, ..., 58\r\npanel_b/tsline_collect_tasa.nc:\r\n- red line: experiment = 0, stat = 0\r\n- blue line: experiment = 1, stat = 0\r\n- red shaded region: experiment = 0, stat = 1 and stat = 2\r\n- blue shaded region: experiment = 1, stat = 1 and stat = 2\r\npanel_b/tsline_collect_tasa_ref.nc\r\n- HadCRUT5: dataset = 0\r\n- BerkleyEarth: dataset = 1\r\n- NOAAGlobalTemp-Interim: dataset = 2\r\n- Kadow: dataset =3\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1" }, { "ob_id": 33189, "uuid": "44adfc4f92834bd9950341dd24d6d2e0", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.23 (v20211001)", "abstract": "Data for Figure 3.23 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.23 shows multi-model-mean bias of (a) sea surface temperature and (b) near-surface salinity, defined as the difference between the CMIP6 multi-model mean and the climatology from the World Ocean Atlas 2018. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global bias of modelled annual-mean sea surface temperature (°C) of CMIP6 for the period 1995–2014 to WOA 2018\r\n - Global bias of modelled annual-mean sea surface salinity (PSS-76) of CMIP6 for the period 1995–2014 to WOA 2018\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nWOA 2018 is the World Ocean Atlas 2018.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_23_a.nc (sst, CMIP6 Sea Surface Temperature Bias)\r\n - panel_b/fig_3_23_b.nc (sss, CMIP6 Sea Surface Salinity Bias)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37391, "uuid": "392c8351349b4436923c102c558873d9", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.7 (v20220613)", "abstract": "Data for Figure 3.7 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.7 shows regression coefficients and corresponding attributable warming estimates for individual CMIP6 models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains information on global temperature attributable warming (2010-2019 relative to 1850-1900) from CMIP6 models: \r\n \r\n - Regression coefficients for two way regression (2010-2019 relative to 1850-1900)\r\n - Regression coefficients for three way regression (2010-2019 relative to 1850-1900)\r\n - Attributable warming for two way regression (2010-2019 relative to 1850-1900)\r\n - Attributable warming for three way regression (2010-2019 relative to 1850-1900)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/regression_coeff_two_way_regression.csv has data for brown and green crosses\r\n - panel_b/regression_coeff_three_way_regression.csv has data for grey, green and blue crosses\r\n - panel_c/attributable_warming_two_way_regression.csv has data for brown and green crosses\r\n - panel_d/attributable_warming_three_way_regression.csv has data for grey, green and blue crosses\r\n\r\n Details about the data provided in relation to the figure in the header of every file.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33195, "uuid": "a6b79b1abac64d72a1a3f2fcf62ee81e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.15 (v20211001)", "abstract": "Data for Figure 3.15 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.15 shows observed and simulated time series of anomalies in zonal average annual mean precipitation.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for five panels in subdirectories named panel_a, panel_c, panel_d, panel_e and panel_f.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Observed precipitation change (1950-2014). \r\n - Historical anthropogenic and natural precipitation change (1950-2014).\r\n - Historical natural-only precipitation change (1950-2014).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_15_a.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_15_c.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_15_d.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_15_e.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_15_f.nc (yearly data, 1950-2014); observed and CMIP6 data (also shaded areas)\r\n * brown line: exp = 0, stat = 0\r\n * green line: exp = 1, stat = 0\r\n * shaded regions: exp = 1 or 2, stat = 1 and 2\r\n * black lines: exp = 2, stat = 0 (GHCN), stat = 1 (GPCP-SG), stat = 2 (CRU)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nGHCN is the Global Historical Climatology Network.\r\nGPCP-SG refers to the Global Precipitation Climatology Project and Satellite-Guage combined precipitation dataset.\r\nCRU refers to the Climatic Research Unit gridded Time Series climate dataset.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37520, "uuid": "38512cd8209b4669a0743e9672f70a6e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.28 (v20220614)", "abstract": "Data for Figure 3.28 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.28 shows long-term trends in halosteric and thermosteric sea level in CMIP6 models and observations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has panels (a), (b), (c), (d), (e), (f), with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The datasets contains: \r\n \r\n - Atlantic and Pacific halosteric sea level trend from CMIP6 models (1950-2014)\r\n - Atlantic and Pacific halosteric sea level trend from Durack&Wijffels observations (1950-2019)\r\n - Atlantic and Pacific halosteric sea level trend from EN4 observations (1950-2019)\r\n - Atlantic and Pacific halosteric sea level trend from Ishii observations (1955-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from CMIP6 models (1950-2014)\r\n - Atlantic and Pacific thermosteric sea level trend from Durack&Wijffels observations (1950-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from EN4 observations (1950-2019)\r\n - Atlantic and Pacific thermosteric sea level trend from Ishii observations (1955-2019)\r\n - Global halosteric sea level trends from Durack&Wijffels observations (1950-2019)\r\n - Global halosteric sea level trends from EN4 observations (1950-2019)\r\n - Global halosteric sea level trends from Ishii observations (1955-2019)\r\n - Global halosteric sea level trends from CMIP6 multi-model mean (1950-2014)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/halosteric_trends_hist-nat.csv has data for green and black markers.\r\n - panel_a/halosteric_trends_historical.csv has data for orange and black markers.\r\n - panel_b/thermosteric_trends_hist-nat.csv has data for green and black markers.\r\n - panel_b/thermosteric_trends_historical.csv has data for orange and black markers.\r\n - panel_c/halosteric_trends_map_DW.nc has data for filled colored contours.\r\n - panel_d/halosteric_trends_map_EN4.nc has data for filled colored contours.\r\n - panel_e/halosteric_trends_map_Ishii.nc has data for filled colored contours.\r\n - panel_f/halosteric_trends_map_cmip6.nc has data for filled colored contours.\r\n For panels a and b details about the data provided in relation to the figure in the header of every file.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data from here (top right panel) is taken from the file:\r\n\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The field of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). The file was archived as input data for Figure 2.27. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the input dataset for figure 3.28\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37552, "uuid": "f148031d13954c85b873900cd3f47170", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.2, Figure 1 (v20220615)", "abstract": "Data for FAQ 3.2, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFAQ 3.2, Figure 1 shows annual, decadal and multi-decadal variations in average global surface temperature. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure technically has three panels, but they are not labelled. So the datasets are stored just in the main figure folder. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Dataset contains modelled GSAT anomalies from MPI-ESM grand ensemble (1950-2019):\r\n \r\n - On annual scale\r\n - On decadal scale\r\n - On multi-decadal scale\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - annual_gsat_anomalies_mpi_esm_grand_ens.csv has data for the left panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble (black, light green, light marsh green, light dark green lines)\r\n - decadal_gsat_anomalies_mpi_esm_grand_ens.csv has data for the middle panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble (black, light green, light marsh green, light dark green lines)\r\n - multi_decadal_gsat_anomalies_mpi_esm_grand_ens.csv has data for the right panel, GSAT anomalies from 1950 to 2019 from MPI-ESM grand ensemble (black, light green, light marsh green, light dark green lines)\r\n\r\n\r\nGSAT stands for Global Surface Air Temperature.\r\nMPI-ESM is a comprehensive Earth-System Model, consisting of component models for the ocean, the atmosphere and the land surface.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the GitHub repo with code for the figure" }, { "ob_id": 37549, "uuid": "c03ba3e2a7314f848e41a3a724bd8d25", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.1, Figure 1 (v20220615)", "abstract": "Data for FAQ 3.1, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFAQ 3.1 Figure 1 shows that observed warming (1850-2018) is only reproduced in simulations including human influence.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains global surface temperature changes timeseries relative to 1850-1900 for 1850-2019 from:\r\n \r\n - CMIP6 historical+ssp245 simulations (simulations with human and natural forcing)\r\n - CMIP6 hist-GHG simulations (simulations with anthropogenic green house gases forcing)\r\n - CMIP6 hist-aer simulations (simulation with anthropogenic aerosol forcing)\r\n - CMIP6 hist-nat simulations (simulation with natural forcing only)\r\n - Observations from Chapter 2\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n gmst_anomalies_timeseries.csv. Global surface temperature changes timeseries relative to 1850-1900 for 1850-2019 from:\r\n \r\n - CMIP6 historical+ssp245 simulations (1850-2019) [mean, grey line]\r\n - CMIP6 historical+ssp245 simulations (1850-2019) [5% range, grey shading, bottom]\r\n - CMIP6 historical+ssp245 simulations (1850-2019) [95% range, grey shading, top]\r\n - CMIP6 hist-GHG simulations (1850-2019) [mean, red line]\r\n - CMIP6 hist-GHG simulations (1850-2019) [5% range, red shading, bottom]\r\n - CMIP6 hist-GHG simulations (1850-2019) [95% range, red shading, top]\r\n - CMIP6 hist-aer simulations (1850-2019) [mean, blue line]\r\n - CMIP6 hist-aer simulations (1850-2019) [5% range, blue shading, bottom]\r\n - CMIP6 hist-aer simulations (1850-2019) [95% range, blue shading, top]\r\n - CMIP6 hist-nat simulations (1850-2019) [mean, green line]\r\n - CMIP6 hist-nat simulations (1850-2019) [5% range, green shading, bottom]\r\n - CMIP6 hist-nat simulations (1850-2019) [95% range, green shading, top]\r\n - Observations from Chapter 2 (1850-2019) [black line]\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37546, "uuid": "73c576b685c049258dd578f5487885f2", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.2, Figure 1 (v20220615)", "abstract": "Data for Cross-Chapter Box 3.2, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCross-Chapter Box 3.2, Figure 1 shows a comparison of observed and simulated changes in global mean temperature and precipitation extremes. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically the figure has four panels, but since they are not marked all the data is in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations)\r\n - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcings simulations)\r\n - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcing only simulations)\r\n - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - txx_anomalies_timeseries_historical.csv has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies (top left panel)\r\n - txx_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies (bottom left panel)\r\n - rx1day_anomalies_timeseries_historical has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies (top right panel)\r\n - rx1day_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies (bottom right panel)\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparion Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nHadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33198, "uuid": "7493e7dd46854227beb4f891a80a1016", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.19 (v20211001)", "abstract": "Data for Figure 3.19 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.19 shows long-term mean (thin black contour) and linear trend (colour) of zonal mean DJF zonal winds over 1985-2014 in the SH. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - ERA5 zonal-mean wind (1985-2014)\r\n - ERA5 zonal-mean wind trend (1985-2014)\r\n - CMIP6 zonal-mean wind (1985-2014)\r\n - CMIP6 zonal-mean wind trend (1985-2014)\r\n\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_19_a_mean.nc (contour, ERA5 mean)\r\n - panel_a/fig_3_19_a_trend.nc (color, ERA5 trend)\r\n - panel_b/fig_3_19_b_mean.nc (contour, CMIP6 mean)\r\n - panel_b/fig_3_19_b_trend.nc (color, CMIP6 trend)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37558, "uuid": "758419765d0f4926aa70002ec6c856b0", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.38 (v20220614)", "abstract": "Data for Figure 3.38 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.38 shows model evaluation of ENSO teleconnection for 2m-temperature and precipitation in boreal winter (December-January-February).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Data provided for all panels in one single directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains observed global patterns for:\r\n \r\n - temperature from the Berkeley Earth dataset over land \r\n - temperature from ERSSTv5 over ocean\r\n - precipitation from GPCC over land (shading, mm day–1)\r\n - precipitation from GPCP worldwide (contours, period: 1979-2014)\r\n \r\n and distributions of regression coefficients in IPCC regions for:\r\n - temperature\r\n - precipitation\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n maps:\r\n \r\n - reg_tas_NINO34_BEST_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over land)\r\n - reg_sst_NINO34_ERSSTv5_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over ocean)\r\n - reg_precip_NINO34_GPCP_ERSST5_1979_2018_DJF.nc (var = 'rc', lower map, contours)\r\n - reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc (var = 'rc', lower map, shading)\r\n \r\n histograms:\r\n - tas_enso_regression_pdf_v4_no_cosweight_DJF.nc\r\n . upper grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'\r\n . MME (black line): var = 'region_ave_hist'\r\n . Observations (blue lines): var = 'region_obs'\r\n - tas_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dashed line): var = 'region_ave_amip_hist'\r\n \r\n => Fields correspond to regions numbers with labels in the plot, namely for temperature: 'EAU/RFE/RAR/NWN/NCA/ENA/NSA/MED/NWS/ESAF' (see variable region_info with attributes making the association between the region index and the acronym/name). \r\n - pr_enso_regression_pdf_v4_no_cosweight_DJF.nc\r\n . lower grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'\r\n . MME (black line): var = 'region_ave_hist'\r\n . Observations (blue lines): var = 'region_obs'\r\n - pr_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dahsed line): var = 'region_ave_amip_hist'\r\n \r\n => Fields correspond to regions numbers with labels in the plot, namely for precipitation: 'EAS/SEA/EAU/WNA/NCA/SES/NSA/ESAF/SEAF/MED' (see variable info_region with attributes making the association between the region index and the acronym/name).\r\n\r\n\r\nENSO is the El Niño Southern Oscillation. \r\nGPCC is the Global Precipitation Climatology Centre. \r\nGPCP is the Global Precipitation Climatology Project.\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Data provided in reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc are in mm/month. Values should be divided by 30 for plotting in mm/day.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33201, "uuid": "80c10f8aeb7049778c5a15ede4917128", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001)", "abstract": "Data for Figure 3.43 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.43 shows centred pattern correlations between models and observations for the annual mean climatology over the period 1980-1999. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains all correlation pattern values displayed in the figure.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_3_43.nc:\r\n \r\n - variable: 'cor' with two dimensions:\r\n * 'vars': variables on the x-axis (same order as in the figure)\r\n * 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6')\r\n\r\n'cor' refers to the pattern correlation between models and observations.\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n \r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website." }, { "ob_id": 37523, "uuid": "a3902bb4d1b543b39cc85380df8d1586", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.30 (v20220614)", "abstract": "Data for Figure 3.30 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.30 shows observed and CMIP6 simulated AMOC mean state, variability and long-term trends.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n \r\n - AMOC streamfunction profiles from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning depth from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning depth from RAPID observational dataset (2004-2018)\r\n - AMOC mean maximum overturning streamfunction from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations\r\n - AMOC mean maximum overturning streamfunction from RAPID observational dataset (2004-2018)\r\n - AMOC 8-year trends from CMIP5 and CMIP6 simulations and RAPID observations (2004-2012)\r\n - Interannual AMOC changes from CMIP5 and CMIP6 simulations and RAPID observations (2008-2010)\r\n - Longterm AMOC trends (1850-2014) from CMIP6 simulations\r\n - Longterm AMOC trends (1940-1985) from CMIP6 simulations\r\n - Longterm AMOC trends (1985-2014) from CMIP6 simulations\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/amoc_mean_state_boxes.csv has the data for the grey observations lines and blue and red boxes with whiskers\r\n - panel_a/amoc_profiles_shadings.csv has data for the blue and red profile shadings.\r\n - panel_a/amoc_profile_cmip5.csv has data for the blue profile\r\n - panel_a/amoc_profile_cmip6.csv has data for the red profile\r\n - panel_b/amoc_trends_2004_2012.csv has data for boxes and whiskers and outlier dots\r\n - panel_b/amoc_trends_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6\r\n - panel_c/interannual_variability_AMOC.csv has data for boxes and whiskers and outlier dots\r\n - panel_c/interannual_variability_AMOC_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6\r\n - panel_d/amoc_longtern_trend_1850_2014.csv has data for grey, green, blue and orange boxes and whiskers\r\n - panel_e/amoc_longtern_trend_1940_1985.csv has data for grey, green, blue and orange boxes and whiskers\r\n - panel_f/amoc_longtern_trend_1985_2014.csv has data for grey, green, blue and orange boxes and whiskers\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nAMOC is the Atlantic Meridional Overturning Circulation.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37564, "uuid": "d35ac1955c264deea9699d08dbc568f2", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.44 (v20220615)", "abstract": "Data for Figure 3.44 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.44 shows multivariate synopsis of paleoclimate model results compared to observational references. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Figure has three rows (a), (b) and (c). The data is on the DMS in the panel_a, panel_b, panel_c subdirectories. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - GSAT anomalies in MidHolocene from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Bertlein et al. (2011) reconstructions\r\n - GSAT anomalies in LIG, LGM and EECO from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Tierney et al. (2020) reconstructions\r\n - Regional Mean Temperature of the Warmest month, Mean Annual Precipitation and Mean Temperature of the Coldest month from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Bertlein et al. (2011) reconstructions\r\n - Regional Mean Temperature of the Warmest month, Mean Annual Precipitation and Mean Temperature of the Coldest month from CMIP6, PMIP3, non-CMIP6 PMIP4 models as well as Tierney et al. (2020) reconstructions\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/gmst_anomalies_paleo_climate.csv has data for all the markers in all subpanels in panel a\r\n panel_a/gmst_anomalies_paleo_climate_reconstructions.csv: relates to the pale orange (navajowhite) shading in panel (a), column 2 contains the bottom values, column 3 are the top values.\r\n panel_b/temperature_and_precipitation_paleo_midHolocene.csv has data for all the markers in all subpanels in panel b\r\n panel_c/temperature_and_precipitation_paleo_lastGlacialMaximum.csv has data for all markers in all subpanels in panel c\r\n\r\nGSAT stands for Global Surface Air Temperature.\r\nCMIP6 is the sixth stage of the Coupled Model Intercomparison Project. \r\nPMIP3 is the Paleoclimate Modelling Intercomparison Project phase 3.\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4.\r\nLIG stands for Last Interglacial.\r\nLGM stands for the Last Glacial Maximum.\r\nEECO stands for Early Eocene Climatic Optimum.\r\n\r\n ---------------------------------------------------\r\n Temporal Range of Paleoclimate Data\r\n ---------------------------------------------------\r\n This dataset also covers a paleoclimate timespan from 55000000-5000 years BP (55000000-5000 years before present). \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The last column in each file is the color and/or shape of the marker.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 34559, "uuid": "678ee967fe114a34a6d1f7d50e4aa7ee", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.34 (v20220104)", "abstract": "Data for Figure 3.34 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.34 shows attribution of observed seasonal trends in the annular modes to forcings. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 panels, and all the data are provided in a single file named NAM_SAM_detection_attribution.nc.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Observed and simulated DJF NAM trends for 1958-2019\r\n - Observed and simulated JJA NAM trends for 1958-2019\r\n - Observed and simulated DJF SAM trends for 1979-2019\r\n - Observed and simulated JJA SAM trends for 1979-2019\r\n - Observed and simulated DJF SAM trends for 2000-2019\r\n - Observed and simulated JJA SAM trends for 2000-2019\r\n Simulations are from CMIP6 historical, hist-GHG, hist-aer, hist-nat, and hist-stratO3 simulations, and from equivalent time segments from CMIP6 piControl simulations (one segment from one model).\r\n\r\nNAM: Northern Annular Mode \r\nSAM: Southern Annular Mode\r\nGHG: greenhouse gas\r\nJJA: June, July, August\r\nDJF: December, January, February\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - NAM_obs_DJF_1958_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - NAM_piControl_DJF_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - NAM_hist_DJF_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_GHG_DJF_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_aer_DJF_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_stratO3_DJF_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_nat_DJF_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - NAM_obs_JJA_1958_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - NAM_piControl_JJA_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - NAM_hist_JJA_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_GHG_JJA_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_aer_JJA_1958_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_stratO3_JJA_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - NAM_nat_JJA_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n \r\n Panel b:\r\n - SAM_obs_DJF_1979_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_DJF_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - SAM_hist_DJF_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_GHG_DJF_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_aer_DJF_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_stratO3_DJF_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_nat_DJF_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_obs_JJA_1979_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_JJA_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - SAM_hist_JJA_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_GHG_JJA_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_aer_JJA_1979_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_stratO3_JJA_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_nat_JJA_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n \r\n Panel c:\r\n - SAM_obs_DJF_2000_2019: grey horizontal lines in the left\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_DJF_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left\r\n - SAM_hist_DJF_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_GHG_DJF_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_aer_DJF_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_stratO3_DJF_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_nat_DJF_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left\r\n - SAM_obs_JJA_2000_2019: grey horizontal lines in the right\r\n -->ERA5: obs_dataset = 0\\n\r\n -->JRA-55: obs_dataset = 1\\n\r\n - SAM_piControl_JJA_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right\r\n - SAM_hist_JJA_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_GHG_JJA_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_aer_JJA_2000_2019: multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_stratO3_JJA_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right\r\n - SAM_nat_JJA_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMultimodel ensemble means, interquartile ranges and 5th and 95th percentiles of historical and hist-* simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is given as the weight attribute of each variable. The weighting is not applied to piControl simulations.\r\n\r\nFilled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. ensemble_assign attribute in each variable provides the model number to which each ensemble member belongs. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33428, "uuid": "71c2e401df5e4798b917ae4a353daff1", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.17 (v20211208)", "abstract": "Data for Figure 3.17 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.17 shows observed and simulated global monsoon domain, intensity, and circulation. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in a single file. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Observed and simulated global monsoon domain and summer minus winter precipitation and 850hPa wind velocity\r\n - Global land monsoon precipitation index and Northern Hemisphere summer monsoon circulation index.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All data are given in global_monsoon.nc file.\r\n\r\nPanel a:\r\n \r\n - uRef & vRef: vector\r\n - prRef: shading\r\n - domainRef: domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel b:\r\n \r\n - uMME & vMME: vector\r\n - prMME: shading\r\n - domainMME: monsoon domain (1 = monsoon, 0 = not monsoon)\r\n\r\nPanel c:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_amip: yellow curve and shading\r\n - GMprecip_CMAP: black dotted curve\r\n - GMprecip_CRU-TS: black solid curve\r\n - GMprecip_GPCC: black dashed-dotted curve\r\n - GMprecip_GPCP-SG: black dashed curve\r\n\r\n\r\nPanel d:\r\n \r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip6: red curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip5: blue curve and shading\r\n - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_amip: yellow curve and shading\r\n - Max-min range of NHMcirc_20CRv3: grey hatching\r\n - NHMcirc_ERA-20C: black dash-dotted curve\r\n - NHMcirc_ERA5: black solid curve\r\n - NHMcirc_JRA-55: dashed curve\r\n - NHMcirc_MERRA2: dotted curve\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, which is given as the weight attribute of each variable.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains supporting information on the figure in Section and details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33177, "uuid": "7273023a04d24da58ec5d83343cd861d", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.12 (v20211001)", "abstract": "Data for Figure 3.12 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.12 shows column water vapor path trends (%/decade) for the period 1998-2019 averaged over the near-global oceans (50°S-50°N) \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains water vapor path trends for the period 1998-2019 for:\r\n \r\n - observed average (RSS and ERA5)\r\n - simulated bins (CMIP5 and CMIP6)\r\n - simulated fit (CMIP5 and CMIP6)\r\n\r\nRSS (Remote Sensing Systems) refers to geophysical data collected by satellite microwave sensors.\r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - atmosphere_mass_content_of_water_vapor_trend_era5.nc (var = 'prw_trend', purple line)\r\n - atmosphere_mass_content_of_water_vapor_trend_rss.nc (var = 'prw_trend', orange line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip5.nc (var = 'trend_bins', blue line)\r\n - atmosphere_mass_content_of_water_vapor_trends_kde_fit_cmip6.nc (var = 'trend_bins', red line)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip5.nc (var = 'trend_bins', blue bars)\r\n - atmosphere_mass_content_of_water_vapor_trends_pdf_cmip6.nc (var = 'trend_bins', red bars)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33333, "uuid": "38bac9051d064d4da183fff2361f5de8", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 3.27 (v20220621)", "abstract": "Input data for figure 3.27 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.27 shows maps of multi-decadal salinity trends for the near-surface ocean.\r\n\r\n ---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two subpanels, with input data provided for the upper panel.\r\n\r\n ---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains the global ocean salinity estimates from Durack & Wijffels (2010) based on observations from 01-01-1950 to 12-31-2019:\r\n \r\n - Mean salinity (for the Jan/1950 to Dec/2019 period, units in PSS).\r\n - Salinity change (for the same period, PSS/70-years).\r\n - Salinity change error (same period, PSS/70-years).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe observational data from here (top panel) is taken from the file:\r\nDurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc. The fields of interest are salinity_mean (shown as black contours) and salinity_change (shown in colourscale). DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc is an updated file from Durack & Wijffels (2010).\r\n\r\nThe data file DurackandWijffels_GlobalOceanChanges_19500101-20191231__210122-205355_beta.nc is an intermediate file used in 3.27, please refer to the code to generate the figure using the corresponding tools (see the link to the code in the 'Related document' section README_AR6_WG1_Chap3_Figure3_27_GlobalSeaSurfaceSalinitytrends.md at main ESMValGroup/ESMValTool-AR6-OriginalCode-FinalFigures).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to input data figure 2.27.\r\n - Link to the figure on the IPCC AR6 website." }, { "ob_id": 33291, "uuid": "43b0c376ad184543a1bbceeceec0e85d", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.41 (v20211028)", "abstract": "Data for Figure 3.41 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.41 is a summary figure showing simulated and observed changes in key large-scale indicators of climate change across the climate system, for continental, ocean basin and larger scales. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The data of each panel is provided in a single file.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This datasets contains global and regional anomaly time-series for:\r\n \r\n - near-surface air temperature (1850-2020)\r\n - precipitation (1950-2014)\r\n - sea ice extent (1979-2014)\r\n - ocean heat content (1850-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nnear-surface air temperature (tas)\r\n-fig_3_41_tas_global.nc, fig_3_41_tas_land.nc, fig_3_41_tas_north_america.nc, fig_3_41_tas_central_south_america.nc, fig_3_41_tas_europe_north_africa.nc, fig_3_41_tas_africa.nc, fig_3_41_tas_asia.nc, fig_3_41_tas_australasia.nc, fig_3_41_tas_antarctic.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 4, stat = 0 (mean)\r\n\r\nocean heat content (ohc)\r\n-fig_3_41_ohc_global.nc:\r\nbrown line: ncl5 = 0, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: ncl5 = 1, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: ncl5 = 2, ncl6 = 0 (mean)\r\n\r\nprecipitation (pr)\r\n-fig_3_41_pr_60N_90N.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 2, stat = 0 (mean)\r\n\r\nsea ice extent (siconc)\r\n-fig_3_41_siconc_nh.nc, fig_3_41_siconc_sh.nc:\r\nbrown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\ngreen line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile)\r\nblack line: exp = 2, stat = 0 (mean)\r\n\r\nThe ensemble spread (shaded regions) of CMIP6 data shown in figure 3.41 are the mean, 5th and 95th percentiles. \r\nThe in-file metadata labels the same ensemble spread with mean, min and max.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37508, "uuid": "0915a82fa8a84e21bcb5467be84d49fc", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.22 (v20220613)", "abstract": "Data for Figure 3.22 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.22 shows time series of Northern Hemisphere March-April mean snow cover extent (SCE) from observations, CMIP5 and CMIP6 simulations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are technically two panels top and bottom (CMIP5 and CMIP6), however, the data is stored in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is for the Northern Hemisphere snow cover extent anomalies (SCEA) from models and observations:\r\n \r\n - The SCEA observational data from GLDAS-NOAH (1948-2012), Brown-NOAA (1923-2017), Mudryk et al 2020 (1968-2017)\r\n - The SCEA modelled by CMIP5 historical-rcp45 experiment (1923-2017)\r\n - The SCEA modelled by CMIP5 historicalNat experiment (1923-2012)\r\n - The SCEA modelled by CMIP6 historical-ssp245 experiment (1923-2017)\r\n - The SCEA modelled by CMIP6 hist-nat experiment (1923-2017)\r\n - The SCEA modelled by CMIP5 and CMIP6 piControl experiments\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n snow_cover_extent_cmip5_obs.csv is the data for the green and brown lines and shadings in the upper panel and grey lines (1923-2017)\r\n snow_cover_extent_cmip6_obs.csv is the data for the green and brown lines and shadings in the lower panel and grey lines (1923-2017)\r\n snow_cover_extent_piControl.csv for the blue error bars in the both panels\r\n Additional details of data provided in relation to figure in the file header (BADC-CSV file)\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37514, "uuid": "a71383af93af4f58ae27d66ba15b3543", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.24 (v20220614)", "abstract": "Data for Figure 3.24 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.24 shows biases in zonal mean and equatorial sea surface temperature (SST) in CMIP5 and CMIP6 models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a), (b), (c), with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains sea surface temperature (SST) data (1979-1999): \r\n \r\n - Modelled zonal mean SST biases from CMIP5\r\n - Modelled zonal mean SST biases from CMIP6\r\n - Modelled zonal mean SST biases from HighResMIP\r\n - Modelled equatorial SST biases from CMIP5\r\n - Modelled equatorial SST biases from CMIP6\r\n - Modelled equatorial SST biases from HighResMIP\r\n - Modelled mean equatorial SST from CMIP5\r\n - Modelled mean equatorial SST from CMIP6\r\n - Modelled mean equatorial SST from HighResMIP\r\n - Observed mean equatorial SST from HadISST v1\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/zonal_sst_bias.csv has zonal mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n - panel_b/equatorial_sst_bias.csv has equatorial mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n - panel_c/equatorial_sst_means.csv has equatorial mean sea surface temperature over the period 1979-1999, there are data for black (HadISSTv1), blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble\r\n Details about the data provided in relation to the figure in the header of every file.\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For equatorial SSTs and equatorial SST biases, the data has longitude coordinate which goes 20 to 380 degrees. It was done with python package iris not to break the lines through Atlantic.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37570, "uuid": "a8915aca7806434984baab86835a1b18", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.29 (v20220616)", "abstract": "Data for Figure 3.29 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.29 shows simulated and observed global mean sea level change due to thermal expansion for CMIP6 models and observations relative to the baseline period 1850-1900. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset has contains timeseries for:\r\n \r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic and natural forcings (historical experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with natural forcings only (hist-nat experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic greenhouse gases forcings only (hist-GHG experiment)\r\n - CMIP6 thermosteric sea level change anomalies from 1850-2014 simulated with anthropogenic aerosol forcings only (hist-aer experiment)\r\n - observed thermosteric sea level change anomalies from 1971-2018\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - global_mean_sea_level_anomalies.csv relates to brown, green, blue grey and black lines and shadings (1850-2019)\r\n Additional information about data provided in relation to figure in the file header.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational datasets are the ones used in Chapter 2 and Chapter 9 CCB1 ('AR6_FGD_assessment_timeseries_ThSL.csv'). The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to dataset for figure CCB1 Chapter 9\r\n - Link to input data figure 2.27\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37505, "uuid": "6f800cbda88d424cbcc59181b8b85aaa", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.21 (v20220613)", "abstract": "Data for Figure 3.21 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.21 shows the seasonal evolution of observed and simulated Arctic and Antarctic sea ice area (SIA) over 1979-2017.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has several subplots, but they are unidentified, so the data is stored in the parent directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains Sea Ice Area anomalies over 1979-2017 relative to the 1979-2000 means from:\r\n \r\n - Observations (OSISAF, NASA Team, and Bootstrap)\r\n - Historical simulations from CMIP5 and CMIP6 multi-model means\r\n - Natural only simulations from CMIP5 and CMIP6 multi-model means\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - *_arctic_* files are used for the plots on the left side of the figure\r\n - *_antarctic_* files are used for the plots on the right side of the figure\r\n - *_OBS_NASATeam* files are used for the first row of the plot\r\n - *_OBS_Bootstrap* are used for the second row of the plot\r\n - *_OBS_OSISAF* are used for the third row of the plot\r\n - *_ALL_CMIP5* are used in the fourth row of the plot\r\n - *_ALL_CMIP6* are used in the fifth row of the plot\r\n - *_NAT_CMIP5* are used in the sixth row of the plot\r\n - *_NAT_CMIP6* are used in the seventh row of the plot\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The significance are for the grey dots, it's nan or 1 values. The data has to be overplotted to colored squares. Grey dots indicate multi-model mean anomalies stronger than inter-model spread (beyond ± 1 standard deviation).\r\n\r\n\r\nThe coordinates of the data are indices, but in global attributes 'comments' of each file there are relations of indices to months, since months are the y coordinate.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34660, "uuid": "c3450dc769f044898ea5f3be784f354b", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.6 (v20220119)", "abstract": "Data for Figure 3.6 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.6 shows simulated internal variability of global surface air temperature (GSAT) versus observed changes. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels. Files are not separated according to the panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n obs_gmst.nc contains\r\n - Observed GMST anomalies\r\n - Observed GMST difference between 2010-2019 and 1850-1900\r\n \r\n historical_cmip6_gsat.nc contains\r\n - Simulated GSAT anomalies\r\n - Simulated GSAT difference between 2010-2019 and 1850-1900\r\n of CMIP6 historical-ssp245 simulations\r\n \r\n piControl_cmip6_gsat.nc contains - Simulated GSAT anomalies\r\n - Simulated GSAT difference between the last 10 years and the first 51 years of a 170-year segment\r\n of the first 500 years of CMIP6 piControl simulations\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - 5-year running mean of picontrol_tas_aa in piControl_cmip6_gsat.nc\r\n o BCC-CSM2-MR: E = 3\r\n o CMCC-CM2-SR5: E = 11\r\n o CNRM-CM6-1: E = 12\r\n o CNRM-ESM2-1: E = 13\r\n o EC-Earth3: E = 15\r\n o EC-Earth3-Veg: E = 16\r\n o EC-Earth3-Veg-LR: E = 17\r\n o IPSL-CM6A-LR: E = 29\r\n o KIOST-ESM: E = 30\r\n o MCM-UA-1-0: E = 31\r\n \r\n Panel b:\r\n - obs_tas_aa_trend in obs_gmst.nc: black vertical lines\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n - histogram of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red shading\r\n - multimodel ensemble mean of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red vertical line\r\n - histogram of picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue shading\r\n - multimodel ensemble mean picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue vertical line\r\n \r\n Panel c:\r\n - obs_tas_aa in obs_gmst.nc: grey curves, with their 5-year running means for black curves\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project, GMST - Global mean surface temperature, GSAT - Global surface air temperature, BCC-CSM - Beijing Climate Center Climate System Model, CMMC CM - Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model, CNRM - Centre National de Recherches Meteorologiques, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, CRU - Climatic Research Unit, NOAA - National Oceanic and Atmospheric Administration. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMultimodel ensemble means and histograms of historical simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1" }, { "ob_id": 37561, "uuid": "85168e39bfff444ba02bf55e7682f73d", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.26 (v20220616)", "abstract": "Data for Figure 3.26 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.26 shows global ocean heat content in CMIP6 simulations and observations.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically the figure has 4 panels, but they are not named, so the datasets are stored in the parent directory. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains simulated and observed ocean heat content timeseries:\r\n \r\n - from CMIP6 models at full depth (1850-2014)\r\n - from observations at full depth (1971-2018)\r\n - from CMIP6 models at 0-700 m (1850-2014)\r\n - from observations at 700-200 m (1971-2018)\r\n - from CMIP6 models at 700-200 m (1850-2014)\r\n - from observations at 700-200 m (1971-2018)\r\n - from CMIP6 models at deeper than 2000 m (1850-2014)\r\n - from observations at deeper than 2000 m (1992-2018)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - ocean_heat_content_anomalies_full_depth.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_0_700_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_700_2000_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1971 to 2018\r\n - ocean_heat_content_anomalies_over_2000_m.csv has the data for the read lines and shadings (CMIP6) from 1850 to 2014 and black lines and shadings (observations) from 1992 to 2018\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The observational data for this figure is taken from the file 'AR6_FGD_assessment_timeseries_OHC.csv' from Cross-Chapter Box1 figure 1, Chapter 9. The link to this dataset is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to dataset for figure CCB1 Chapter 9\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37529, "uuid": "02006a22c33b42039d96be53d332930a", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.39 (v20220614)", "abstract": "Data for Figure 3.39 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.39 shows the observed and simulated Pacific Decadal Variability (PDV).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels. Files are not separated according to the panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n pdv.obs.nc contains\r\n - Observed SST anomalies associated with the PDV pattern\r\n - Observed PDV index time series (unfiltered)\r\n - Observed PDV index time series (low-pass filtered)\r\n - Taylor statistics of the observed PDV patterns\r\n - Statistical significance of the observed SST anomalies associated with the PDV pattern\r\n \r\n pdv.hist.cmip6.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP6 historical simulations.\r\n \r\n pdv.hist.cmip5.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP5 historical simulations.\r\n \r\n pdv.piControl.cmip6.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP6 piControl simulations.\r\n \r\n pdv.piControl.cmip5.nc contains\r\n - Simulated SST anomalies associated with the PDV pattern\r\n - Simulated PDV index time series (unfiltered)\r\n - Simulated PDV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated PDV patterns\r\n based on CMIP5 piControl simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - ipo_pattern_obs_ref in pdv.obs.nc: shading\r\n - ipo_pattern_obs_signif (dataset = 1) in pdv.obs.nc: cross markers\r\n \r\n Panel b:\r\n - Multimodel ensemble mean of ipo_model_pattern in pdv.hist.cmip6.nc: shading, with their sign agreement for hatching\r\n \r\n Panel c:\r\n - tay_stats (stat = 0, 1) in pdv.obs.nc: black dots\r\n - tay_stats (stat = 0, 1) in pdv.hist.cmip6.nc: red crosses, and their multimodel ensemble mean for the red dot\r\n - tay_stats (stat = 0, 1) in pdv.hist.cmip5.nc: blue crosses, and their multimodel ensemble mean for the blue dot\r\n \r\n Panel d:\r\n - Lag-1 autocorrelation of tpi in pdv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Lag-10 autocorrelation of tpi_lp in pdv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel e:\r\n - Standard deviation of tpi in pdv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi in pdv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Standard deviation of tpi_lp in pdv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of tpi_lp in pdv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel f:\r\n - tpi_lp in pdv.obs.nc: black curves\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - tpi_lp in pdv.hist.cmip6.nc: 5th-95th percentiles in red shading, multimodel ensemble mean and its 5-95% confidence interval for red curves\r\n - tpi_lp in pdv.hist.cmip5.nc: 5th-95th percentiles in blue shading, multimodel ensemble mean for blue curve\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles of historical simulations of CMIP5 and CMIP6 are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\n\r\npiControl simulations from CMIP5 and CMIP6 consist of a single member from each model, so the weighting is not applied.\r\n\r\n\r\nMultimodel ensemble means of the pattern correlation in Taylor statistics in (c) and the autocorrelation of the index in (d) are calculated via Fisher z-transformation and back transformation.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37511, "uuid": "becdaa43cf884c299435dc319e758f4e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.20 (v20220613)", "abstract": "Data for Figure 3.20 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.20 shows means and trends in Arctic sea ice area (SIA) in September and Antarctic SIA in February for 1979-2017 from CMIP5 and CMIP6 models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n Technically figure has four panels, but they are not named so the data is stored in the parent directory. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Data is for September Arctic and February Antarctic Sea Ice Areas (SIAs) and their trends from models and observations:\r\n \r\n - SIAs from Bootstrap, NASA-Team and OSISAF (1979-2017)\r\n - SIAs from CMIP5 historical-rcp45 experiment (1979-2017)\r\n - SIAs from CMIP6 historical-ssp245 experiment (1979-2017)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - sia_point_nh_cmip5.csv has Arctic sea ice area means and decadal trends for September calculated from CMIP5 and observations from 1979-2017\r\n - sia_point_nh_cmip6.csv has Arctic sea ice area means and decadal trends for September calculated from CMIP6 and observations from 1979-2017\r\n - sia_point_sh_cmip5.csv has Antarctic sea ice area means and decadal trends for February calculated from CMIP5 and observations from 1979-2017\r\n - sia_point_sh_cmip6.csv has Antarctic sea ice area means and decadal trends for February calculated from CMIP6 and observations from 1979-2017\r\n\r\n Additional details of data provided in relation to figure in the files header (BADC-CSV files)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The black line which is shown in each panel is written in the comments.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37581, "uuid": "8af00e7bba784c1cbf4c16fef984aeb6", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.36 (v20220620)", "abstract": "Data for Figure 3.36 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.36 shows observed and simulated life cycle of El Niño and La Niña events.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels. All the data are provided in enso_lifecycle.nc file.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - Composite time series of the ENSO index for El Niño events\r\n - Composite time series of the ENSO index for La Niña events\r\n - Mean duration of El Niño events\r\n - Mean duration of La Niña events\r\n\r\nin observations, CMIP5 historical-RCP4.5 and and CMIP6 historical simulations.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - ts_elnino_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - ts_elnino_cmip5: The ENSO index time series in each ensemble member of CMIP5 models; blue curve and shading\r\n - ts_elnino_cmip6: The ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n \r\n Panel b:\r\n - ts_lanina_obs; black curves\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - ts_lanina_cmip5: The ENSO index time series in each ensemble member of CMIP5 models; blue curve and shading\r\n - ts_lanina_cmip6: The ENSO index time series in each ensemble member of CMIP6 models; red curve and shading\r\n \r\n Panel c:\r\n - duration_elnino_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - duration_elnino_cmip5: El Nino duration in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - duration_elnino_cmip6; El Nino duration in each ensemble member of CMIP6 models; red dots, red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 - 444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n \r\n Panel d:\r\n - duration_lanina_obs; black vertical lines and numbers in the top right box\r\n . ERSSTv5, dashed lines: dataset = 1\r\n . HadISST, solid lines: dataset = 2\r\n - duration_lanina_cmip5; La Nina duration in each ensemble member of CMIP5 models; blue box-whisker and number in the top right box\r\n - duration_lanina_cmip6; La Nina duration in each ensemble member of CMIP6 models; red dots, red box-whisker and number in the top right box\r\n . ACCESS-CM2: ens_cmip6 = 1 - 3\r\n . ACCESS-ESM1-5: ens_cmip6 = 4 - 23\r\n . AWI-CM-1-1-MR: ens_cmip6 = 24 - 28\r\n . AWI-ESM-1-1-LR: ens_cmip6 = 29\r\n . BCC-CSM2-MR: ens_cmip6 = 30 - 32\r\n . BCC-ESM1: ens_cmip6 = 33 - 35\r\n . CAMS-CSM1-0: ens_cmip6 = 36-38\r\n . CanESM5-CanOE: ens_cmip6 = 39 - 41\r\n . CanESM5: ens_cmip6 = 42 - 106\r\n . CESM2-FV2: ens_cmip6 = 107 - 109\r\n . CESM2: ens_cmip6 = 110 - 120\r\n . CESM2-WACCM-FV2: ens_cmip6 = 121 - 123\r\n . CESM2-WACCM: ens_cmip6 = 124 - 126\r\n . CIESM: ens_cmip6 = 127 - 129\r\n . CMCC-CM2-HR4: ens_cmip6 = 130\r\n . CMCC-CM2-SR5: ens_cmip6 = 131\r\n . CMCC-ESM2: ens_cmip6 = 132\r\n . CNRM-CM6-1-HR: ens_cmip6 = 133\r\n . CNRM-CM6-1: ens_cmip6 = 134 - 162\r\n . CNRM-ESM2-1: ens_cmip6 = 163 - 172\r\n . E3SM-1-0: ens_cmip6 = 173 - 177\r\n . E3SM-1-1-ECA: ens_cmip6 = 178\r\n . E3SM-1-1: ens_cmip6 = 179\r\n . EC-Earth3-AerChem: ens_cmip6 = 180, 181\r\n . EC-Earth3-CC: ens_cmip6 = 182\r\n . EC-Earth3: ens_cmip6 = 183 - 204\r\n . EC-Earth3-Veg-LR: ens_cmip6 = 205 - 207\r\n . EC-Earth3-Veg: ens_cmip6 = 208 - 215\r\n . FGOALS-f3-L: ens_cmip6 = 216 - 218\r\n . FGOALS-g3: ens_cmip6 = 219 - 224\r\n . FIO-ESM-2-0: ens_cmip6 = 225 - 227\r\n . GFDL-CM4: ens_cmip6 = 228\r\n . GFDL-ESM4: ens_cmip6 = 229 - 231\r\n . GISS-E2-1-G-CC: ens_cmip6 = 232\r\n . GISS-E2-1-G: ens_cmip6 = 233 - 278\r\n . GISS-E2-1-H: ens_cmip6 = 279 - 302\r\n . HadGEM3-GC31-LL: ens_cmip6 = 303 - 306\r\n . HadGEM3-GC31-MM: ens_cmip6 = 307 - 310\r\n . IITM-ESM: ens_cmip6 = 311\r\n . INM-CM4-8: ens_cmip6 = 312\r\n . INM-CM5-0: ens_cmip6 = 313 - 322\r\n . IPSL-CM5A2-INCA: ens_cmip6 = 323\r\n . IPSL-CM6A-LR: ens_cmip6 = 324 - 355\r\n . KACE-1-0-G: ens_cmip6 = 356-358\r\n . KIOST-ESM: ens_cmip6 = 359\r\n . MCM-UA-1-0: ens_cmip6 = 360, 361\r\n . MIROC6: ens_cmip6 = 362 - 411\r\n . MIROC-ES2L: ens_cmip6 = 412 - 421\r\n . MPI-ESM-1-2-HAM: ens_cmip6 = 422 - 424\r\n . MPI-ESM1-2-HR: ens_cmip6 = 425 - 434\r\n . MPI-ESM1-2-LR: ens_cmip6 = 435 - 444\r\n . MRI-ESM2-0: ens_cmip6 = 445 - 450\r\n . NESM3: ens_cmip6 = 451 - 455\r\n . NorCPM1: ens_cmip6 = 456 - 485\r\n . NorESM2-LM: ens_cmip6 = 486 - 488\r\n . NorESM2-MM: ens_cmip6 = 489 - 490\r\n . SAM0-UNICON: ens_cmip6 = 491\r\n . TaiESM1: ens_cmip6 = 492\r\n . UKESM1-0-LL: ens_cmip6 = 493 - 510\r\n\r\n\r\nAcronyms: ENSO - El Niño–Southern Oscillation, CMIP - Coupled Model Intercomparison Project, RCP - Representative Concentration Pathway, ERSST - Extended Reconstructed Sea Surface Temperature, HadISST - Hadley Centre Sea Ice and Sea Surface Temperature, ACCESS- CM2 – Australian Community Climate and Earth System Simulator coupled climate model, ACCESS- ESM – Australian Community Climate and Earth System Simulator Earth system model, AWI - Alfred Wegener Institute, BCC-CSM - Beijing Climate Center Climate System Model, CAMS - Chinese Academy of Meteorological Sciences, CanOE - Canadian Ocean Ecosystem, CESM2 - Community Earth System Model, WACCM - Whole Atmosphere Community Climate Model, CIESM - Community Integrated Earth System Model, CNCC - Centro Euro-Mediterraneo per I Cambiamenti Climatici, CNRM - Centre National de Recherches Météorologiques, E3SM - Energy Exascale Earth System Model, FGOALS - Flexible Global Ocean-Atmosphere-Land System Model, FIO-ESM - First Institute of Oceanography Earth System Model, GFDL - Geophysical Fluid Dynamics Laboratory, GISS - Goddard Institute for Space Studies, IITM - Indian Institute of Tropical Meteorology, INM - Institute for Numerical Mathematics, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, MIROC - Model for Interdisciplinary Research on Climate, MPI - Max-Planck-Institut für Meteorologie, NESM - Nanjing University of Information Science and Technology Earth System Model, NorCPM - Norwegian Climate Prediction Model, SAM0-UNICON - Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme (SAM0-UNICON), TaiESM1 - Taiwan Earth System Model version 1, UKESM - The UK Earth System Modelling project.\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is provided as the weight attribute of ens_cmip5 and ens_cmip6.\r\nIf X(i) is the array, and w(i) the corresponding weight.\r\n\r\n\r\n- Mean shoud be suｍ_i(X(i) * w(i)) / sum_i(w(i))\r\n\r\n- For percentile values, \r\n\r\n1. Sort X and w so that X is in the ascending order\r\n\r\n2. Accumulate w until i = j so that accumulated(w)/sum_i(w(i)) equals or exceeds the specified percentile level (e.g. 0.05)\r\n\r\n3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 33399, "uuid": "a4cbbffe1bd44c7ba3e8608ee9c54547", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.31 (v20211203)", "abstract": "Data for Figure 3.31 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.31 shows evaluation of historical emission-driven CMIP6 simulations for 1850-2014. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Observed and simulated change in global mean atmospheric CO2 concentration (1850-2014)\r\n - Observed and simulated air surface temperature anomaly (1850-2014)\r\n - Observed and simulated change in land carbon uptake (1850-2014)\r\n - Observed and simulated change in ocean carbon uptake (1850-2014)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n panel_a/fig_3_31_panel_a.nc:\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 ', (turquoise solid line), Australian Community Climate and Earth System Simulator - Earth System Model\r\n - dim0 = 1: 'CNRM-ESM2-1', (light green solid line), National Centre for Meteorological Research\r\n - dim0 = 2: 'CanESM5-CanOE ', (orange solid line), Canadian Earth System Model - Canadian Ocean Ecosystem model\r\n - dim0 = 3: 'CanESM5', (dark green solid line).\r\n - dim0 = 4: 'MIROC-ES2L', (light purple solid line), Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and Centre for Climate System Research / National Institute for Environmental Studies, Japan.\r\n - dim0 = 5: 'MPI-ESM1-2-LR ', (teal solid line), Max Planck Institute Earth System Model \r\n - dim0 = 6: 'MRI-ESM2-0', (lime solid line), Meteorological Research Institute of the Japan Meteorological Agency\r\n - dim0 = 7: 'NorESM2-LM', (pink solid line), The Norwegian Earth System Model\r\n - dim0 = 8: 'UKESM1-0-LL', (dark purple solid line), UK Earth System Model\r\n - dim0 = 9: 'MultiModelMean', (red solid line).\r\n - dim0 = 10: 'ESRL' (OBS), (black solid line).\r\n\r\npanel_b/fig_3_31_panel_b.nc\r\n \r\n - dim0_0 = 0: 'ACCESS-ESM1-5',\r\n - dim0_0 = 1: 'ACCESS-ESM1-5_historical'.\r\n - dim0_0 = 2: 'CNRM-ESM2-1'.\r\n - dim0_0 = 3: 'CNRM-ESM2-1_historical'.\r\n - dim0_0 = 4: 'CanESM5-CanOE '.\r\n - dim0_0 = 5: 'CanESM5-CanOE_historical'.\r\n - dim0_0 = 6: 'CanESM5'.\r\n - dim0_0 = 7: 'CanESM5_historical'.\r\n - dim0_0 = 8: 'MIROC-ES2L'.\r\n - dim0_0 = 9: 'MIROC-ES2L_historical'.\r\n - dim0_0 = 10: 'MPI-ESM1-2-LR '.\r\n - dim0_0 = 11: 'MPI-ESM1-2-LR_historical '.\r\n - dim0_0 = 12: 'MRI-ESM2-0'.\r\n - dim0_0 = 13: 'MRI-ESM2-0_historical'.\r\n - dim0_0 = 14: 'NorESM2-LM'.\r\n - dim0_0 = 15: 'NorESM2-LM_historical'.\r\n - dim0_0 = 16: 'UKESM1-0-LL'.\r\n - dim0_0 = 17: 'UKESM1-0-LL_historical'.\r\n - dim0_0 = 18: 'HadCRUT5' (OBS), Met Office Hadley Centre\r\n\r\n\r\npanel_c/fig_3_31_panel_c.nc\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 '.\r\n - dim0 = 1: 'CNRM-ESM2-1'.\r\n - dim0 = 2: 'CanESM5-CanOE '.\r\n - dim0 = 3: 'CanESM5'.\r\n - dim0 = 4: 'MIROC-ES2L'.\r\n - dim0 = 5: 'MPI-ESM1-2-LR '.\r\n - dim0 = 6: 'MRI-ESM2-0'.\r\n - dim0 = 7: 'NorESM2-LM'.\r\n - dim0 = 8: 'UKESM1-0-LL'.\r\n - dim0 = 9: 'MultiModelMean'.\r\n - dim0 = 10: 'GCP' (OBS), Global Carbon Project (GCP)\r\n\r\n\r\npanel_d/fig_3_31_panel_d.nc\r\n \r\n - dim0 = 0: 'ACCESS-ESM1-5 '.\r\n - dim0 = 1: 'CNRM-ESM2-1'.\r\n - dim0 = 2: 'CanESM5-CanOE '.\r\n - dim0 = 3: 'CanESM5'.\r\n - dim0 = 4: 'MIROC-ES2L'.\r\n - dim0 = 5: 'MPI-ESM1-2-LR '.\r\n - dim0 = 6: 'MRI-ESM2-0'.\r\n - dim0 = 7: 'NorESM2-LM'.\r\n - dim0 = 8: 'UKESM1-0-LL'.\r\n - dim0 = 9: 'MultiModelMean'.\r\n - dim0 = 10: 'GCP' (OBS).\r\n\r\n\r\nLabels and colors for all figures are the same as for panel a. Historical values in panel b are plotted with the same colors as the corresponding simulation, but using dotted lines.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37555, "uuid": "afe80eb32a1c4164a3b84396c6d7a5d6", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.3, Figure 1 (v20220615)", "abstract": "Data for FAQ 3.3, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFAQ 3.3 Figure 1 shows pattern correlations between models and observations for three different variables: surface air temperature, precipitation and sea level pressure. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains all correlation pattern values displayed in the figure.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n fig_FAQ_3_3.nc:\r\n \r\n - variable: 'cor' with two dimensions:\r\n . 'vars': variables on the x-axis (same order as in the figure)\r\n . 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6')\r\n\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nVar 'cor' contains the values. Coordinate 'var' is the x-axis. Coordinate 'models' is the y-axis. The attribute 'project' of the coordinate 'models' contains as string chain the mapping to CMIP3 (cyan), CMIP5 (blue) and CMIP6 (red). The multi-model mean is not part of the dataset.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37532, "uuid": "12f0d7db5ed747d2940210e52211ed6a", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.40 (v20220614)", "abstract": "Data for Figure 3.40 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 3.40 shows the observed and simulated Atlantic Multidecadal Variability (AMV).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels. Files are not separated according to the panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n amv.obs.nc contains\r\n - Observed SST anomalies associated with the AMV pattern\r\n - Observed AMV index time series (unfiltered)\r\n - Observed AMV index time series (low-pass filtered)\r\n - Taylor statistics of the observed AMV patterns\r\n \r\n amv.hist.cmip6.nc contains\r\n - Statistical significance of the observed SST anomalies associated with the AMV pattern\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n \r\n based on CMIP6 historical simulations.\r\n \r\n amv.hist.cmip5.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP5 historical simulations.\r\n \r\n amv.piControl.cmip6.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP6 piControl simulations.\r\n \r\n amv.piControl.cmip5.nc contains\r\n - Simulated SST anomalies associated with the AMV pattern\r\n - Simulated AMV index time series (unfiltered)\r\n - Simulated AMV index time series (low-pass filtered)\r\n - Taylor statistics of the simulated AMV patterns\r\n based on CMIP5 piControl simulations.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - amv_pattern_obs_ref in amv.obs.nc: shading\r\n - amv_pattern_obs_signif (dataset = 1) in amv.obs.nc: cross markers\r\n \r\n Panel b:\r\n - Multimodel ensemble mean of amv_pattern in amv.hist.cmip6.nc: shading, with their sign agreement for hatching\r\n \r\n Panel c:\r\n - tay_stats (stat = 0, 1) in amv.obs.nc: black dots\r\n - tay_stats (stat = 0, 1) in amv.hist.cmip6.nc: red crosses, and their multimodel ensemble mean for the red dot\r\n - tay_stats (stat = 0, 1) in amv.hist.cmip5.nc: blue crosses, and their multimodel ensemble mean for the blue dot\r\n \r\n Panel d:\r\n - Lag-1 autocorrelation of amv_timeseries_raw in amv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of lag-1 autocorrelation of amv_timeseries_raw in amv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Lag-10 autocorrelation of amv_timeseries in amv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of lag-10 autocorrelation of amv_timeseries in amv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel e:\r\n - Standard deviation of amv_timeseries_raw in amv.obs.nc: black horizontal lines in left\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.piControl.cmip5.nc: blue open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.piControl.cmip6.nc: red open box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.hist.cmip5.nc: blue filled box-whisker in the left\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries_raw in amv.hist.cmip6.nc: red filled box-whisker in the left\r\n - Standard deviation of amv_timeseries in amv.obs.nc: black horizontal lines in right\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.piControl.cmip5.nc: blue open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.piControl.cmip6.nc: red open box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.hist.cmip5.nc: blue filled box-whisker in the right\r\n - Multimodel ensemble mean and percentiles of standard deviation of amv_timeseries in amv.hist.cmip6.nc: red filled box-whisker in the right\r\n \r\n Panel f:\r\n - amv_timeseries in amv.obs.nc: black curves\r\n . ERSSTv5: dataset = 1\r\n . HadISST: dataset = 2\r\n . COBE-SST2: dataset = 3\r\n - amv_timeseries in amv.hist.cmip6.nc: 5th-95th percentiles in red shading, multimodel ensemble mean and its 5-95% confidence interval for red curves\r\n - amv_timeseries in amv.hist.cmip5.nc: 5th-95th percentiles in blue shading, multimodel ensemble mean for blue curve\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and percentiles of historical simulations of CMIP5 and CMIP6 are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation.\r\n\r\n\r\npiControl simulations from CMIP5 and CMIP6 consist of a single member from each model, so the weighting is not applied.\r\n\r\n\r\nMultimodel ensemble means of the pattern correlation in Taylor statistics in (c) and the autocorrelation of the index in (d) are calculated via Fisher z-transformation and back transformation. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 37543, "uuid": "e299379f837142bfb2aa6df64cc66fe7", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 3.1, Figure 1 (v20220615)", "abstract": "Data for Cross-Chapter Box 3.1, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCross-Chapter Box 3.1, Figure 1 shows 15-year trends of surface global warming for 1998-2012 and 2012-2026.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panels a and b in a subdirectory named panel_ab, and for panels c and d in subdirectories named panel_c and panel_d respectively.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n \r\n - Observed and modelled global annual mean surface temperature and surface air temperature trends for 1998-2012\r\n - Modelled global annual mean surface air temperature trends for 2012-2026\r\n - Observed annual mean surface temperature trends for 1998-2012\r\n - Composite of modelled annual mean surface air temperature trends for 1998-2012\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - gmst_trend_1998-2012 in panel_ab/GMST_trend.csv; HadCRUT5 for histogram, ensemble mean of HadCRUT5 and other observations for open triangles at the top, and multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_1998-2012 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, ERA5 for the top filled triangle, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel b:\r\n - gmst_trend_2012-2026 in panel_ab/GMST_trend.csv; multimodel ensemble means of CMIP5 and CMIP6 for open diamonds at the top\r\n - gsat_trend_2012-2026 in panel_ab/GSAT_trend.csv; CMIP5 and CMIP6 ensembles for histograms, and multimodel ensemble means of CMIP5 and CMIP6 for filled diamonds at the top\r\n \r\n Panel c:\r\n - tas in panel_c/TrendPattern_HadCRUT5_mean.nc; shading, with the sig attribute for cross markers\r\n \r\n Panel d:\r\n - tas in panel_d/TrendPattern_composite.nc: shading\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nHadCRUT5 is a gridded dataset of global historical near-surface air temperature anomalies since the year 1850.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Multimodel ensemble means and histograms are calculated after weighting each ensemble member with the inverse of the ensemble size of the same model.\r\n\r\nThe values for panels c and d are stored with the K/year unit but scaled to the K/decade, therefore they need to be multiplied by a factor of 10 in order to be consistent with the plotted values.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33174, "uuid": "bbb759da50fe4cd5a1387c7462655908", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.9 (v20211028)", "abstract": "Data for Figure 3.9 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.9 shows global, land, ocean and continental annual mean near-surface air temperatures anomalies in CMIP6 models and observations. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has ten panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e, panel_f, panel_g, panel_h, panel_i and panel_j.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Observed global near-surface air temperature change (1850-2020). \r\n - CMIP6 historical anthropogenic and natural global warming (1850-2020).\r\n - CMIP6 historical natural-only global warming (1850-2020).\r\n - CMIP6 historical greenhouse gas only global warming (1850-2020).\r\n - CMIP6 historical aerosol only global warming (1850-2020).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/fig_3_9_a.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_b/fig_3_9_b.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_c/fig_3_9_c.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_d/fig_3_9_d.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_e/fig_3_9_e.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_f/fig_3_9_f.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_g/fig_3_9_g.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_h/fig_3_9_h.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_i/fig_3_9_i.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n - panel_j/fig_3_9_j.nc (yearly data, 1850-2020); observed and CMIP6 data (also shaded areas)\r\n \r\nPlotted data corresponds to the following \"exp\" and \"stat\" indices:\r\n brown line: exp = 0, stat = 0\r\n green line: exp = 1, stat = 0\r\n grey line: exp = 2, stat = 0\r\n blue line: exp =3, stat = 0\r\n black line: exp = 4, stat = 0\r\n shaded regions: stat = 1 and 2, exp = 0, 1, 2 and 3\r\nThe ensemble spread (shaded regions) of CMIP6 data shown in figure 3.9 are the mean, 5th and 95th percentiles. The in-file metadata labels the same ensemble spread as the mean, min and max.\r\n\r\npanel_a: Global Ocean\r\npanel_b: Global\r\npanel_c: Global Land\r\npanel_d: North America\r\npanel_e: Central and South America\r\npanel_f: Europe and North Africa\r\npanel_g: Africa\r\npanel_h: Asia\r\npanel_i: Australasia\r\npanel_j: Antarctica\r\n\r\nAcronyms - CMIP6 - The sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1" }, { "ob_id": 33158, "uuid": "cf006675070548359e22e36d354d0f92", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.10 (v20211001)", "abstract": "Data for Figure 3.10 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.10 shows observed and simulated tropical mean temperature trends through the atmosphere.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Temperature trend from radiosonde, reanalysis and CMIP6 data, including their uncertainty where available.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/ipcc_ar6_chap3_fig_3_10_panel_a_with_metadata.csv \r\n - panel_b/ipcc_ar6_chap3_fig_3_10_panel_b_with_metadata.csv\r\n - panel_c/ipcc_ar6_chap3_fig_3_10_panel_c_with_metadata.csv\r\n\r\nDetails of data provided in relation to each figure panel and its elements are described in the metadata associated with each file.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 168293, 145886, 145885, 145880, 145879, 145883, 145882, 145881 ], "onlineresource_set": [ 42838, 80253 ], "project_set": [ 32705 ] }, { "ob_id": 32719, "uuid": "5b30b3c2146048388ac97e4278cb5128", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 4: Future global climate: scenario-based projections and near-term information", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 4: Future global climate: scenario-based projections and near-term information.\r\n\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 4.12\r\n- data for Figure 4.13\r\n- data for Figure 4.19\r\n- data for Figure 4.22\r\n- data for Figure 4.23\r\n- data for Figure 4.24\r\n- data for Figure 4.25\r\n- data for Figure 4.26\r\n- data for Figure 4.31\r\n- data for Figure 4.32\r\n- data for Figure 4.41\r\n- data for Figure 4.42", "keywords": "IPCC, AR6, WG1, Chapter 4", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:20:47", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 39642, "uuid": "0078d944259049a4b1bc5947623f6e97", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.12 (v20230203)", "abstract": "Data for Figure 4.12 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.12 shows the projected near-term change of seasonal mean surface temperature.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in surface air temperature (2021–2040) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable tas includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website \r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39648, "uuid": "dce10ff4596241e190aaea9291cc4249", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.19 (v20230203)", "abstract": "Data for Figure 4.19 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.19 shows the projected mid- and long-term change of annual mean surface temperature.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file. \r\na) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP1-2.6 \r\nb) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP1-2.6 \r\nc) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP3-7.0 \r\nd) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in surface air temperature (2041–2060 and 2081-2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable tas includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 40113, "uuid": "8fa708d0474d4a3caa5c9f645a89d282", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.31 v20230531", "abstract": "Data for Figure 4.31 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.31 shows the projected spatial patterns of change in annual average near-surface temperature (°C) at different levels of global warming\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has seven panels, with data provided for the first four panels in separate NetCDF files.\r\n a) Multi-model mean change in annual mean temperature at 1.5°C global warming relative to 1850-1900\r\n b) Multi-model mean change in annual mean temperature at 2°C global warming relative to 1850-1900\r\n c) Multi-model mean change in annual mean temperature at 3°C global warming relative to 1850-1900\r\n d) Multi-model mean change in annual mean temperature at 4°C global warming relative to 1850-1900\r\n \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Multi-model mean change in annual mean temperature at 1.5, 2, 3, and 4°C global warming relative to 1850-1900.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Four data files are given for the four panels a-d\r\n Data_shown_in_figure_panel_a.nc includes the variables tas representing the temperature change shown in panel a\r\n Data_shown_in_figure_panel_b.nc includes the variables tas representing the temperature change shown in panel b\r\n Data_shown_in_figure_panel_c.nc includes the variables tas representing the temperature change shown in panel c\r\n Data_shown_in_figure_panel_d.nc includes the variables tas representing the temperature change shown in panel d\r\n The information of panels e-g can be calculated from the difference of the respective data files a-d\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Time range: This is for the 20-yr time period in which any given model reaches a given warming level.\r\n The respective time periods are documented here: https://github.com/mathause/cmip_warming_levels\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to figure\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39645, "uuid": "11d45679506d44fda224d65326edcdb4", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.13 (v20230203)", "abstract": "Data for Figure 4.13 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.13 shows the projected near-term change of seasonal mean precipitation.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in precipitation (2021–2040) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable pr includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39730, "uuid": "e397fe6f20024295b095e2e3ca1e9f04", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.41 (v20230213)", "abstract": "Data for Figure 4.41 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.41 shows high-warming storylines for changes in annual mean temperature.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has eight panels, with data provided for all panels in two files one including data for panels a, c, e, g and the other for panels b, d, f, h.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains temperature change patterns for the multi model means and different low-likelihood high warming storylines.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Data_shown_in_figure_panels_aceg.nc includes the temperature change pattern for the four panels as different variables called panelA, panelC, panelE and panel G, respectively.\r\n Data file Data_shown_in_figure_panels_bdfh.nc includes the temperature change pattern for the four panels as different variables called panelB, panelD, panelF and panel H, respectively.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39651, "uuid": "9527d9be07c243599f00af5ab945c7ed", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.22 (v20230203)", "abstract": "Data for Figure 4.22 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.22 shows the projected long-term change of annual and zonal mean atmospheric temperature.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panel a in the file \r\n named Data_shown_in_figure_panel_a.nc and for panel b in the file named Data_shown_in_figure_panel_b.nc.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in air temperature (2081–2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file fig4_22a_ta.nc (panel a) includes the multi-model mean zonal mean temperature change as a function of latitude and pressure level for SSP1-2.6\r\n Data file fig4_22b_ta.nc (panel a) includes the multi-model mean zonal mean temperature change as a function of latitude and pressure level for SSP3-7.0\r\n\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 40116, "uuid": "0192ae3037794e0eb93b022c5140f399", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.32 v20230531", "abstract": "Data for Figure 4.32 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.32 shows projected spatial patterns of change in annual average precipitation (expressed as a percentage change) at different levels of global warming.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels separate fileds\r\n a) Multi-model mean change in annual mean precipitation at 1.5°C global warming relative to 1850-1900\r\n b) Multi-model mean change in annual mean precipitation at 2°C global warming relative to 1850-1900\r\n c) Multi-model mean change in annual mean precipitation at 3°C global warming relative to 1850-1900\r\n d) Multi-model mean change in annual mean precipitation at 4°C global warming relative to 1850-1900\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Multi-model mean change in annual mean precipitation at 1.5, 2, 3, and 4°C global warming relative to 1850-1900.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Four data files are given for the four panels a-d\r\n Data_shown_in_figure_panel_a.nc includes the variable pr representing the precipitation change shown in panel a\r\n Data_shown_in_figure_panel_b.nc includes the variable pr representing the precipitation change shown in panel b\r\n Data_shown_in_figure_panel_c.nc includes the variable pr representing the precipitation change shown in panel c\r\n Data_shown_in_figure_panel_d.nc includes the variable pr representing the precipitation change shown in panel d\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Temporal range: This is for the 20-yr time period in which any given model reaches a given warming level.\r\n The respective time periods are documented here: https://github.com/mathause/cmip_warming_levels\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39654, "uuid": "34810c5e2d2047b487ade01830cac1f4", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.23 (v20230203)", "abstract": "Data for Figure 4.23 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.23 shows the projected long-term changes in seasonal mean relative humidity.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file. \r\n\r\na) Global projected spatial patterns of multi-model mean change in DJF seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP1-2.6\r\n b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP1-2.6\r\n d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean relative humidity in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n CMIP6 multi-model mean projected change in DJF and JJA seasonal mean relative humidity (2081-2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995-2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable hurs includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 40110, "uuid": "1e60155294934ffcaf194e555a81294b", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.26 v20230530", "abstract": "Data for Figure 4.26 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.26 shows the projected long-term changes in zonal-mean, zonal wind.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n a) Global projected spatial patterns of multi-model mean change in DJF seasonal mean zonal-mean zonal wind in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n b) Global projected spatial patterns of multi-model mean change in JJA seasonal mean zonal-mean zonal wind in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n c) Global projected spatial patterns of multi-model mean change in DJF seasonal mean zonal-mean zonal wind in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean zonal-mean zonal wind in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Data_shown_in_figure_panels_a_and_b.nc (panels a and b) includes the multi-model mean zonal mean zonal wind as a function of latitude and pressure level for SSP1-2.6\r\n Data file Data_shown_in_figure_panels_c_and_d.nc (panels c and d) includes the multi-model mean zonal mean zonal wind as a function of latitude and pressure level for SSP3-7.0\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39733, "uuid": "e5e7afe5355a439e8d63be47ee7467c8", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.42 (v20230213)", "abstract": "Data for Figure 4.42 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.42 illustrates high-warming storylines for changes in annual mean precipitation.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has seven panels, with data provided for panels a-c and e-f in two separate files.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precipitation change patterns for the multi model means and different low-likelihood high warming storylines, and a low and high change storyline reflection the uncertainty due to model response and unforced internal variability at the grid point level.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Data_shown_in_figure_panels_abc.nc includes the precipitation change pattern for the three panels as different variables called panelA, panelB, and panelC, respectively.\r\n Data file Data_shown_in_figure_panels_ef.nc includes the precipitation change pattern for the two panels as different variables called panelE and panelF, respectively.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39721, "uuid": "5ed073b87dbc45d6a66d7c704caef01d", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.24 (v20230213)", "abstract": "Data for Figure 4.24 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.24 shows the projected long-term changes in seasonal mean precipitation.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n a) Global projected spatial patterns of multi-model mean change in DJF seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP1-2.6 b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP3-7.0 c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP1-2.6 d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean precipitation in 2081-2100 relative to 1995-2014 in SSP3-7.0\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable pr includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" }, { "ob_id": 39727, "uuid": "b1d79f8dea6244ea943d49040f0f9f6d", "short_code": "ob", "title": "Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.25 (v20230213)", "abstract": "Data for Figure 4.25 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 4.25 shows the projected long-term changes in seasonal mean sea level pressure.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006.\r\n\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in one NetCDF file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n a) Global projected spatial patterns of multi-model mean change in DJF seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n b) Global projected spatial patterns of multi-model mean change in DJF seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n c) Global projected spatial patterns of multi-model mean change in JJA seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP1‑2.6\r\n d) Global projected spatial patterns of multi-model mean change in JJA seasonal mean sea level pressure in 2081-2100 relative to 1995-2014 in SSP3‑7.0\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The variable psl includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d.\r\n\r\n\r\nDJF stands for December, January, February.\r\nJJA stands for June, July, August.\r\nSSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 4)\r\n - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145894, 145893, 145892, 145891, 145890, 145889, 145896, 145895, 145897, 168295, 145898 ], "onlineresource_set": [ 42839, 83024 ], "project_set": [ 32705 ] }, { "ob_id": 32720, "uuid": "20cd7758c7374ae8ba509354661ae1c6", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 5: Global Carbon and other Biogeochemical Cycles and Feedbacks", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 5: Global Carbon and other Biogeochemical Cycles and Feedbacks.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 5.33", "keywords": "IPCC, AR6, WG1, Chapter 5", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:20:19", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37608, "uuid": "85409987ce6a4976b0845b512baa2843", "short_code": "ob", "title": "Chapter 5 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 5.33 (v20220623)", "abstract": "Data for Figure 5.33 from Chapter 5 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 5.33 shows carbon sink response in a scenario with net carbon dioxide (CO2) removal from the atmosphere. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nCanadell, J.G., P.M.S. Monteiro, M.H. Costa, L. Cotrim da Cunha, P.M. Cox, A.V. Eliseev, S. Henson, M. Ishii, S. Jaccard, C. Koven, A. Lohila, P.K. Patra, S. Piao, J. Rogelj, S. Syampungani, S. Zaehle, and K. Zickfeld, 2021: Global Carbon and other Biogeochemical Cycles and Feedbacks. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 673–816, doi:10.1017/9781009157896.007.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains data for 50-year periods during 2000-2300 for:\r\n \r\n - Atmospheric CO2 concentration\r\n - Net CO2 emissions (accumulated over 50 year periods)\r\n - Net land flux (accumulated over 50 year periods)\r\n - Net ocean flux (accumulated over 50 year periods)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file: Data_Figure_5_33.csv:\r\n \r\n - row 1: x-axis values.\r\n - row 2: light blue bars.\r\n - row 3: orange bars.\r\n - row 4: green bars.\r\n - row 5: blue bars\r\n - row 6: relates with the values written in black over the corresponding arrows (row 2 values plus values written in black)\r\n - row 7: Standard deviation over orange bars.\r\n - row 8: Standard deviation over green bars.\r\n - row 9: Standard deviation over blue bars.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n This figure was created in Excel and the error bars (standard deviation) were added in Adobe \r\n Illustrator.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 5)\r\n - Link to the Supplementary Material for Chapter 5, which contains details on the input data used in Table 5.SM.6" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145906, 145905, 145904, 145900, 145899, 145903, 145902, 145901, 145907, 168296, 145908 ], "onlineresource_set": [ 42840, 80254 ], "project_set": [ 32705 ] }, { "ob_id": 32721, "uuid": "18cf830c350e451a9002105294861dc0", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 6: Short-lived climate forcers", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 6: Short-lived climate forcers.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 6.3\r\n- data for Figure 6.12\r\n- input data for Figure 6.12\r\n- input data for Figure 6.14\r\n- data for Figure 6.16\r\n- data for Figure 6.17\r\n- data for Figure 6.20\r\n- data for Figure 6.21\r\n- data for Figure 6.22\r\n- input data for Figure 6.22\r\n- data for Figure 6.23\r\n- data for figure 6.24\r\n- input data for Figure 6.24\r\n- data for Figure 6.SM.3\r\n- data for Figure 6.SM.4\r\n- data for Figure 6.SM.5", "keywords": "IPCC, AR6, WG1, Chapter 6", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:19:32", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 39504, "uuid": "abb030f60cf848278fe519379a2aaac9", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.25 (v20221215)", "abstract": "Data for Figure 6.25 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.25 shows the effect of dedicated air pollution or climate policy on population-weighted PM2.5 (Fine particulate matter) concentrations (µg m-3) and share of population (%) exposed to different PM2.5 levels across 10 world regions.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 30 panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains PM2.5 (Fine particulate matter) concentrations (µg m–3) and share of population (%) exposed to different PM2.5 levels across selected world regions.\r\n \r\n - Percentage of population exposed to PM2.5 Exposure threshold <= 10 microgram per m^3, including dust + sea salt.\r\n - Percentage of population exposed to PM2.5 Exposure threshold > 10 microgram per m^3 and<= 35 microgram per m^3, including dust + sea salt.\r\n - Percentage of population exposed to PM2.5 Exposure threshold > 35 microgram per m^3, including dust + sea salt.\r\n - Population weighted mean PM2.5 concentration [mean microgram per m^3]\r\n Regions: North America, Europe, Southern Asia, Eastern Asia, South-East Asia and developing Pacific, Asia-Pacific developed, Africa, Middle East, Latin America and Caribbean, Eurasia\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All panels:\r\n \r\n - Data file: Fig_6.25_plot_data.csv\r\n - rows 4 to 54: left panels\r\n - rows 55 to 105: central panels\r\n - rows 106 to 156: right panels\r\n - column 2: white\r\n - column 3: light grey\r\n - column 4: dark grey\r\n - column 5: orange line\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3" }, { "ob_id": 38253, "uuid": "cdabe9af5aa94608b227e6b9a96771f9", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.17 (v20220928)", "abstract": "Data for Figure 6.17 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.17 shows emission source-sector attribution of regional population-weighted mean concentrations of PM2.5 (fine particulate matter) and ozone for present-day emissions (year 2014).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in one single directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains emission source-sector attribution of regional population-weighted mean concentrations for present-day emissions of:\r\n \r\n - Air pollutant (PM2.5)\r\n - Ozone\r\n\r\n\r\nRegions: Eastern Asia, Latin America and Caribbean, North America, Eurasia, Southeast Asia and Developing Pacific, Europe, Africa, Middle East, Southern Asia, Asia-Pacific Developed.\r\n\r\nSource sector: Energy, Industry, Land and transportation, Shipping, Aviation, Residential and commercial, Agriculture, Waste management, Open biomass burning, Natural sources\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Left panel:\r\n - Data file: PM25_regions_sectors_v210214.txt\r\n \r\n Right panel:\r\n - Data file: O3_regions_sectors_v210214.txt\r\n \r\nAdditional file: country-mapping_ISO-10Regions.csv: description of countries included in each region of the figure.\r\n\r\nPM2.5 refers to fine particulate matter air pollution with diameter of less than 2.5 microns\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38263, "uuid": "dc93cf482acb4dff8d7baa01dfa1fa29", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.16 (v20223009)", "abstract": "Data for Figure 6.16 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.16 shows global mean temperature response 10 and 100 years following one year of present-day (year 2014) emissions.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for all panels in the main directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global-mean temperature response after 10 and 100 years following one year of present-day (year 2014) for different emissions for:\r\n \r\n - total anthropogenic emissions\r\n - sectoral emissions\r\n - regional emissions\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Top panel: \r\n - Data file 'dT10_100_CEDS_total_v2_wHFCs_v210214.txt' (column 0, reference to 10 or 100 years, columns 1 to 13, coloured bars)\r\n \r\n Left panel: \r\n - Data file 'dT10_CEDS_sectors_v2_wHFCs_v210214.txt' (column 0, reference to several sectors, columns 1 to 13, coloured bars)\r\n - Data file 'dT100_CEDS_sectors_v2_wHFCs_v210214.txt' (column 0, reference to several sectors, columns 1 to 13, coloured bars)\r\n - Data file 'errorbar_dT10_sectors.txt' (column 1: Lower bound of the uncertainty in the 10-year sectoral global-mean temperature responses. column 3: Upper bound of the uncertainty in the 10-year sectoral global-mean temperature responses.)\r\n - Data file 'errorbar_dT100_sectors.txt' (column 1: Lower bound of the uncertainty in the 100-year sectoral global-mean temperature responses. column 3: Upper bound of the uncertainty in the 100-year sectoral global-mean temperature responses.)\r\n \r\n Right panel: \r\n - Data file 'dT10_CEDS_regions_v2_wHFCs_v210214.txt' (column 0, reference to several regions, columns 1 to 13, coloured bars)\r\n - Data file 'dT100_CEDS_regions_v2_wHFCs_v210214.txt' (column 0, reference to several regions, columns 1 to 13, coloured bars)\r\n - Data file 'errorbar_dT10_regions.txt' (column 1: Lower bound of the uncertainty in the 10-year regional global-mean temperature responses. column 3: Upper bound of the uncertainty in the 10-year sectoral global-mean temperature responses.)\r\n - Data file 'errorbar_dT100_regions.txt' (column 1: Lower bound of the uncertainty in the 100-year regional global-mean temperature responses. column 3: Upper bound of the uncertainty in the 100-year sectoral global-mean temperature responses.)\r\n \r\n Acronyms:\r\n AGR: agriculture\r\n ENE_C: Fossil fuel combustion for energy\r\n ENE_P: Fossil fuel production and distribution\r\n IND: Industry\r\n TRA: Land transportation\r\n RES_FF: Residential and comercial\r\n RES_BF: Residential and commercial (biofuel use only)\r\n WST: Waste management\r\n SHP: Shipping\r\n BIO: Open biomass burning\r\n AVIA: Aviation\r\n -----\r\n LAM: Latin America and Caribbean\r\n SAS: Southern Asia\r\n CAS: Eurasia\r\n SEA: Southeast Asia and Developing Pacific\r\n PAN: Asia-Pacific Developed\r\n AFR: Africa\r\n EUR: Europe\r\n MDE: Middle East\r\n NAM: North America\r\n EAS: Eastern Asia\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38277, "uuid": "39b789cb48694497941cd0c17f99bd69", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.14 v20220930", "abstract": "Input Data for Figure 6.14 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.14 shows multi-model annual mean change in surface O3 (ppb) concentrations at different warming levels.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with input data provided for all panels in the main directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains gridded monthly, annual and seasonal mean surface ozone concentrations from 5 different CMIP6 models covering period 2015 to 2099 for the ssp370SST and ssp370pdSST AerChemMIP scenarios.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All of the individual CMIP6 model data files provided are used to create a mulit-model mean difference between the two different scenarios at the predetermined temperature thresholds for each model.\r\n\r\ndatafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’\r\ndatafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\ndatafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code (CMIP6_global_2D_ann_O3_resp_at_diff_temp_thresholds.py) that is provided along with this dataset to reproduce the figure will firstly extract the annual mean surface ozone concentrations for all years for each model and scenario. Then it will extract the relevant 20 years worth of data for each scenario based on the pre-calculated year that model exceeded the relevant temperature threshold for each figure panel. A difference between the scenarios at this temperature threshold will be calculated for the particular model and then be used with the same data from all the models to create a multi-model mean difference that is used for each panel of the figure. Significance testing to applied to calculate where at least one model does not agree on the sign of the change between the two scenarios.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0 and SST stands for Sea Surface Temperature.\r\nppb stands for parts per billion.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 39510, "uuid": "bf31afbbbafc49d39546aa78a2268f44", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.26 (v20221215)", "abstract": "Data for Figure 6.26 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.26 shows the effect of dedicated air pollution or climate policy on population-weighted ozone concentrations (SOMO0; ppb) and share of population (%) exposed to different ozone levels across 10 world regions.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 30 panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains population-weighted ozone concentrations (SOMO0; ppb) and share of population (%) exposed to chosen ozone levels across across 10 world regions.\r\n \r\n - Percentage of population exposed to Ozone level exposure threshold <= 35 ppb, annual average daily maximum 8-hourly ozone concentration.\r\n - Percentage of population exposed to Ozone level exposure threshold > 35 ppb and<= 60 ppb, annual average daily maximum 8-hourly ozone concentration\r\n - Percentage of population exposed to Ozone level exposure threshold > 60 ppb, annual average daily maximum 8-hourly ozone concentration\r\n - Population weighted mean Ozone level concentration [mean ppb], annual average daily maximum 8-hourly ozone concentration.\r\n\r\n Regions: North America, Europe, Southern Asia, Eastern Asia, South-East Asia and developing Pacific, Asia-Pacific developed, Africa, Middle East, Latin America and Caribbean, Eurasia\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All panels:\r\n \r\n - Data file: Fig_6.26_plot_data.csv\r\n - rows 4 to 54: left panels\r\n - rows 55 to 105: central panels\r\n - rows 106 to 156: right panels\r\n - column 2: white\r\n - column 3: light grey\r\n - column 4: dark grey\r\n - column 5: orange line\r\n\r\nppb stands for parts per billion.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3" }, { "ob_id": 39718, "uuid": "dc11fff6fda04b1d82e317132b93a3bf", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.8 (v20230213)", "abstract": "Input Data for Figure 6.8 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.8 depicts the time evolution of changes in global mean aerosol optical depth (AOD) at 550 nm\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains netcdf files of 3-dimensional (time,lat,lon) aerosol optical depth (od550aer) time-series from 1850 to 2014 from the historical simulations performed by 16 CMIP6 models. Multiple ensemble members are included for some models.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Instructions in how to relate the input data with the figure in the 'Notes on reproducing the figure from the provided data' field.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n This data file should be used in conjunction with the code Fig6.8_trend_plot_AOD_rolling_10change_volcanic_mask.py \r\nThis code creates the AOD timeseries (1850-2014) using the ensemble mean of individual CMIP6 models output in AOD_trend.png and is linked in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38003, "uuid": "0ca27ce794324ec086d6a6c60d5567ac", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.22 and Figure 6.24 (v20220824)", "abstract": "Input data for figures 6.22 and 6.24 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.22 shows time evolution of the effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\nFigure 6.24 shows effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nFigure 6.22 has 1 panel, with input data provided for this panel.\r\n\r\nFigure 6.24 has 2 subpanels, with input data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years), and the sum of these, relative to the year 2019 and to the year 1750. \r\n\r\n- The GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1, see Cross-Chapter Box 7.1). The vertical bars to the right in each panel show the uncertainties (5–95% ranges) for the GSAT change between 2019 and 2100. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figures\r\n ---------------------------------------------------\r\n Data provided in relation to figures 6.22 and 6.24:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv: ERF derived from FAiR\r\n - Data file: AR6_ERF_minorGHGs_1750-2019.csv: ERF derived from FAiR\r\n - Data file: recommended_irf_from_2xCO2_2021_02_25_222758.csv: Impulse response function (IRF) from AR6\r\n\r\nThe folder SSPs (SSP scenario ERF from FAIR) contains the following file formats:\r\n\r\nERF_${scenario}$_${component}$_1750-2500.csv, with:\r\n\r\n- $(scenario): the name of the scenario : ssp119, ssp126, ssp245, ssp334, ssp370, ssp370-low-nTCF-aerchemmip, ssp370-low-nTCF-gidden, ssp434, ssp460, ssp534-over, ssp585\r\n- $(component): blank, or 'minor GHGs'\r\n\r\nThe folder slcf_warming_ranges (uncertainties in dGSAT from FAIR) contains the following file formats:\r\n\r\nslcf_warming_ranges_${scenario)_$(uncertainty).csv, with:\r\n\r\n- ${scenario}: the name of the scenario : ssp119, ssp126, ssp245, ssp334, ssp370, ssp370-lowNTCF-aerchemmip, ssp370-lowNTCF-gidden, ssp434, ssp460, ssp534-over, ssp585\r\n- ${uncertainty}: percentiles of warming: p05, p16, p50, p84, p95\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figures from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to Figure 6.22 on the IPCC AR6 website\r\n - Link to Figure 6.24 on the IPCC AR6 website\r\n - Link to the report component containing the figures (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with these figures.\r\n - Link to the code for the figures, archived on Zenodo." }, { "ob_id": 37886, "uuid": "288d2cfa740f4e60a369b5778064bd5a", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.22 (v20220815)", "abstract": "Data for Figure 6.22 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.22 shows time evolution of the effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years), and the sum of these, relative to the year 2019 and to the year 1750. \r\n\r\nThe GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1, see Cross-Chapter Box 7.1). The vertical bars to the right in each panel show the uncertainties (5–95% ranges) for the GSAT change between 2019 and 2100. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.22:\r\n \r\n - Data file: fig_timeseries_dT_p95-p50_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_Sum_SLCF_Aerosols_Methane_Ozone_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_aerosol-total-with_bc-snow_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_ch4_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_p95-p50_o3_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_Sum_SLCF_Aerosols_Methane_Ozone_HFCs_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_aerosol-total-with_bc-snow_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_ch4_2019-2100_refyear2019.csv\r\n - Data file: fig_timeseries_dT_recommendation_o3_2019-2100_refyear2019.csv\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38260, "uuid": "59617e4c032543d48364f9ff2711372c", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.SM.3 (v20220930)", "abstract": "Data for Figure 6.SM.3 from the Chapter 6 Supplementary Material of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.SM.3 shows global mean temperature response 20 and 100 years following one year of present-day (year 2014) emissions.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for all panels in the main directory\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global-mean temperature response after 20 and 100 years following one year pulse of present-day (year 2014) for different emissions for:\r\n \r\n - total anthropogenic emissions\r\n - sectoral emissions\r\n - regional emissions\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Top panel: \r\n - Data file dT20_100_CEDS_total_v2_wHFCs_v210214.txt (column 0, reference to 20 or 100 years, columns 1 to 13, coloured bars)\r\n \r\n Left panel: \r\n - Data file dT20_CEDS_sectors_v2_wHFCs_v210214.txt (column 0, reference to several sectors, columns 1 to 13, coloured bars)\r\n - Data file dT100_CEDS_sectors_v2_wHFCs_v210214.txt (column 0, reference to several sectors, columns 1 to 13, coloured bars)\r\n - Data file errorbar_dT20_sectors.txt (column 1: Lower bound of the uncertainty in the 20-year sectoral global-mean temperature responses. column 3: Upper bound of the uncertainty in the 20-year sectoral global-mean temperature responses.)\r\n - Data file errorbar_dT100_sectors.txt (column 1: Lower bound of the uncertainty in the 100-year sectoral global-mean temperature responses. column 3: Upper bound of the uncertainty in the 100-year sectoral global-mean temperature responses.)\r\n \r\n Right panel:\r\n - Data file dT20_CEDS_regions_v2_wHFCs_v210214.txt (column 0, reference to several regions, columns 1 to 13, coloured bars)\r\n - Data file dT100_CEDS_regions_v2_wHFCs_v210214.txt (column 0, reference to several regions, columns 1 to 13, coloured bars)\r\n - Data file errorbar_dT20_regions.txt (column 1: Lower bound of the uncertainty in the 20-year regional global-mean temperature responses. column 3: Upper bound of the uncertainty in the 20-year sectoral global-mean temperature responses.)\r\n - Data file errorbar_dT100_regions.txt (column 1: Lower bound of the uncertainty in the 100-year regional global-mean temperature responses. column 3: Upper bound of the uncertainty in the 100-year sectoral global-mean temperature responses.)\r\n \r\n Acronyms:\r\n AGR: agriculture\r\n ENE_C: Fossil fuel combustion for energy\r\n ENE_P: Fossil fuel production and distribution\r\n IND: Industry\r\n TRA: Land transportation\r\n RES_FF: Residential and commercial\r\n RES_BF: Residential and commercial (biofuel use only)\r\n WST: Waste management\r\n SHP: Shipping\r\n BIO: Open biomass burning\r\n AVIA: Aviation\r\n -----\r\n LAM: Latin America and Caribbean\r\n SAS: Southern Asia\r\n AFR: Africa\r\n EUR: Europe\r\n CAS: Eurasia\r\n MDE: Middle East\r\n SEA: Southeast Asia and Developing Pacific\r\n PAN: Asia-Pacific Developed\r\n NAM: North America\r\n EAS: Eastern Asia\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component related to the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3" }, { "ob_id": 38269, "uuid": "56c283c79666449ebe0235e809bdb69f", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.SM.4 (v20220930)", "abstract": "Data for Figure 6.SM.4 from Chapter 6 Supplementary Material of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.SM.4 shows future global and regional changes in annual mean surface PM2.5, relative to the 2005-2014 mean, for the different SSPs used in CMIP6. Each line represents a multi-model mean across the region with shading representing the ±1 standard deviation in the mean.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 11 panels, with data provided for all panels in 4 files placed in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precomputed values of surface PM2.5 concentrations across world regions for:\r\n - A 10-year mean period (2005 to 2014) from the historical simulation to represent present day regional mean values. Regional multi-model annual mean and standard deviation values are calculated across 5 different CMIP6 models\r\n - Annual 5-year multi-model mean values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100\r\n - Standard deviation values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering 5-year mean periods from 2015 to 2100\r\n - Annual 10-year mean values of surface PM2.5 from the TM5-FASST model projected for 5 different future scenarios covering the period 2015 to 2100\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All the data files provided are used to create the time series plots for each region. The numbers in each panel for each region are obtained from 'Surf_PM2pt5_data_05_14_mean_for_IPCC_figure_V1_5mods.csv', with the time series line for each scenario from 'Surf_PM2pt5_data_fut_mean_for_IPCC_figure_V1_5mods.csv' and the shading obtained by using the values in 'Surf_PM2pt5_SD_data_fut_mean_for_IPCC_figure_V1_5mods.csv'. The TM5-FASST data is included on the figure by reading in pre-computed regional mean values from the 'Regional_annual_mean_surface_PM2pt5_resp_values_CMIP6_Fut_Scens_from_TM5_FASST_on_AR6_reg_receptors_INCL_GLOB_2015_2100.txt' file.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nPM2.5 refers to fine particulate matter air pollution with diameter of less than 2.5 microns.\r\nSSP stands for Shared Socioeconomic Pathway.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code that is provided along with this dataset should just be able to read in each of the precomputed regional mean .csv files and then reproduce the time series figures.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component related to the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37888, "uuid": "ca4127fb1be14ea68fefd5643fe3677f", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.24 (v20220815)", "abstract": "Data for Figure 6.24 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.24 shows effects of changes in short-lived climate forcers (SLCFs) and hydrofluorocarbons (HFCs) on global surface air temperature (GSAT) across the WGI core set of Shared Socio-economic Pathways (SSPs). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Effects of net aerosols, methane, tropospheric ozone and hydrofluorocarbons (HFCs; with lifetimes <50years) compared with those of total anthropogenic forcing for 2040 and 2100 relative to the year 2019. \r\n\r\nThe GSAT changes are based on the assessed historic and future evolution of effective radiative forcing (ERF; Section 7.3.5). The temperature responses to the ERFs are calculated with an impulse response function with an equilibrium climate sensitivity of 3.0°C for a doubling of atmospheric CO2 (feedback parameter of –1.31 W m–2 °C–1; Cross-Chapter Box 7.1). Uncertainties are 5–95% ranges. The scenario total (grey bar) includes all anthropogenic forcings (long- and short-lived climate forcers, and land-use changes) whereas the white diamonds and bars show the net effects of SLCFs and HFCs and their uncertainties. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.24:\r\n \r\n - Data file: fig_dT_2040_2100_stacked_bar_5th-50th__2020-2040_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_5th-50th__2020-2100_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_95th-50th__2020-2040_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_95th-50th__2020-2100_refyear2020.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_mean__2019-2040_refyear2019.csv\r\n - Data file: fig_dT_2040_2100_stacked_bar_mean__2019-2100_refyear2019.csv\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37887, "uuid": "8855e410adf547b4afd039a5b88487f4", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.12 (v20220815)", "abstract": "Data for Figure 6.12 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.12 shows contribution to effective radiative forcing (ERF) and global mean surface air temperature (GSAT) change from component emissions between 1750 to 2019 based on CMIP6 models. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models\r\n\r\nERFs for the direct effect of well-mixed greenhouse gases (WMGHGs) are from the analytical formulae in section 7.3.2, H2O (strat) is from Table 7.8. ERFs for other components are multi-model means from Thornhill et al. (2021b) and are based on ESM simulations in which emissions of one species at a time are increased from 1850 to 2014 levels. The derived emissions-based ERFs are rescaled to match the concentration-based ERFs in Figure 7.6.\r\n\r\nError bars are 5–95% and for the ERF account for uncertainty in radiative efficiencies and multi-model error in the means. ERFs due to aerosol–radiation (ERFari) and cloud effects are calculated from separate radiation calls for clear-sky and aerosol-free conditions (Ghan, 2013; Thornhill et al., 2021b). \r\n\r\n‘Cloud’ includes cloud adjustments (semi-direct effect) and ERF from indirect aerosol-cloud to –0.22 W m–2 for ERFari and –0.84 W m–2 interactions (ERFaci). The aerosol components (SO2, organic carbon and black carbon) are scaled to sum to –0.22 W m–2 for ERFari and –0.84 W m–2 for ‘cloud’ (Section 7.3.3). \r\n\r\nFor GSAT estimates, time series (1750–2019) for the ERFs have been estimated by scaling with concentrations for WMGHGs and with historical emissions for SLCFs. The time variation of ERFaci for aerosols is from Chapter 7. The global mean temperature response is calculated from the ERF time series using an impulse response function (Cross-Chapter Box 7.1) with a climate feedback parameter of –1.31 W m–2 °C–1. \r\n\r\nContributions to ERF and GSAT change from contrails and light-absorbing particles on snow and ice are not represented, but their estimates can be seen on Figure 7.6 and 7.7, respectively. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.12:\r\n \r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF_uncertainty.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT.csv\r\n - Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT_uncertainty.csv\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interactions.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interactions. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n- Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 39715, "uuid": "c4031dd3227c4bceb6eae480d2a47a0c", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.7 (v20230210)", "abstract": "Input Data for Figure 6.7 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). \r\n\r\n\r\nFigure 6.7 shows distribution of PM2.5 composition mass concentration (in μg m-3) for the major PM2.5 aerosol components.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 9 panels with input data provided for all panels in subdirectories named Asia, Europe, North_America, SPARTAN and stations.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains monthly averaged major PM2.5 aerosol component (sulphate, nitrate, ammonium, sodium, chloride, organic carbon and elemental carbon) measurements for the following regions:\r\n \r\n - Latin American and Caribbean\r\n - North America (rural)\r\n - North America (urban)\r\n - Europe\r\n - Eurasia\r\n - Eastern Asia\r\n - Southern Asia\r\n - South-East Asia and Developing Pacific\r\n - Asia-Pacific Developed\r\n\r\n\r\nAdditionally, input file for separating the world in individual regions following the IPCC Sixth Assessment Report Working Group III (AR6 WGIII) is provided as AR6WG3_Atlas_IntermedRegions_1.0x1.0.nc\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Instructions in how to relate the input data with the figure in the 'Notes on reproducing the figure from the provided data' field.\r\n\r\nPM2.5 stands for particulate matter in the air that are 2.5 micrometers or less in diameter.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The data is used as input of the code (violin_regions.py and worldmap_AR6_nocoasts.py). \r\n\r\nviolin_regions.py: Python code that creates the regional violin subplots. The user needs to run the code for each subregion separately by activating the lines 6-17 accordingly.\r\n\r\nworldmap_AR6_nocoasts.py: Python code that creates the world map in the center of the figure, including the location of the observational sites used.\r\n\r\nEach of these scripts work independently. The nine individual plots produced by violin_regions.py can be collated with the map created by worldmap_AR6_nocoasts.py to produce the figure 6.7. A link to the code archived on Zenodo are provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to code archived on Zenodo" }, { "ob_id": 38247, "uuid": "a1f46ad9f2644e60a87591c6b4537fef", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.23 v20220928", "abstract": "Data for Figure 6.23 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.23 shows contribution from regional emissions of short-lived climate forcers (SLCFs) to changes in global surface air temperature (GSAT) in 2040 and 2100, relative to 2020 for four Shared Socio-economic Pathways (SSPs).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains contribution from regional emissions of SLCFs to changes in GSAT relative to 2020 for four SSPs. \r\n - DGSAT 2040-2020\r\n - DGSAT 2040-2100\r\n \r\n Regions: North America, Europe, Southern Asia, Eastern Asia, Southeast Asia and Developing Pacific, Asia-Pacific Developed, Africa, Middle East, Latin America and Caribbean, Eurasia\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Upper panel:\r\n - Data file: fig6_23_data_dTscenarios_allcomp_data.nc. Variables dT_2040_* (one for every SLCF), x-axis refers to the scenarios, y-axis refers to the regions.\r\n \r\n Lower panel:\r\n - Data file: fig6_23_data_dTscenarios_allcomp_data.nc. Variables dT_2100_* (one for every SLCF), x-axis refers to the scenarios, y-axis refers to the regions\r\n\r\nSLCF stands for short-lived climate forcers. \r\nGSAT stands for global surface air temperature.\r\nSSP stands for Shared Socioeconomic Pathway.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38244, "uuid": "572c9744ddab47fc8a5b938c4a4f7387", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.21 (v20220928)", "abstract": "Data for Figure 6.21 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.21 shows future changes in regional five-year mean surface PM2.5 from 2015 to 2100 in different shared socio-economic pathways (SSPs).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 11 panels with data provided for all panels in three files placed in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precomputed values of surface PM2.5 concentrations across world regions for:\r\n \r\n - A 10-year mean period (2005 to 2014) from the historical simulation to represent present day regional mean values. Regional multi-model annual mean and standard deviation values are calculated across 5 different CMIP6 models\r\n - Annual 5-year multi-model mean values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100\r\n - Standard deviation values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering 5-year mean periods from 2015 to 2100\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nPM2.5 refers to fine particulate matter air pollution with diameter of less than 2.5 microns.\r\nSSP stands for Shared Socioeconomic Pathway.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All the data files provided are used to create the time series plots for each region. The numbers in each panel for each region are obtained from 'Surf_PM2pt5_data_05_14_mean_for_IPCC_figure_V1_5mods.csv', with the time series line for each scenario from 'Surf_PM2pt5_data_fut_mean_for_IPCC_figure_V1_5mods.csv' and the shading obtained by using the values in 'Surf_PM2pt5_SD_data_fut_mean_for_IPCC_figure_V1_5mods.csv'.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code that is provided along with this dataset should just be able to read in each of the precomputed regional mean .csv files and then reproduce the time series figures.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38274, "uuid": "c1e3dcebccfd43b4a65f8e446f9944e3", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.SM.5 (v20220930)", "abstract": "Data for Figure 6.SM.5 from Chapter 6 Supplementary Material of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.SM.5 shows future global and regional changes in annual mean surface O3, relative to the 2005-2014 mean, for the different SSPs used in CMIP6.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 11 panels with data provided for all panels in 4 files placed in the directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precomputed values of surface ozone concentrations across world regions for:\r\n \r\n - A 10-year mean period (2005 to 2014) from the historical simulation to represent present day regional mean values. Regional multi-model annual mean and standard deviation values are calculated across 5 different CMIP6 models\r\n - Annual multi-model mean values of surface ozone from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100\r\n - Standard deviation values of surface ozone from 5 different CMIP6 models projected for 7 different future scenarios covering the time period from 2015 to 2100\r\n - Annual 10-year mean values of surface ozone from the TM5-FASST model projected for 5 different future scenarios covering the period 2015 to 2100\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All the data files provided are used to create the time series plots for each region. The numbers in each panel for each region are obtained from 'Surf_O3_data_05_14_mean_for_IPCC_figure_V1_5mods.csv', with the time series line for each scenario from 'Surf_O3_data_fut_mean_for_IPCC_figure_V1_5mods.csv' and the shading obtained by using the values in 'Surf_O3 _SD_data_fut_mean_for_IPCC_figure_V1_5mods.csv'. The TM5-FASST data is included on the figure by reading in pre-computed regional mean values from the 'Regional_annual_mean_surface_O3_resp_values_CMIP6_Fut_Scens_from_TM5_FASST_on_AR6_reg_receptors_INCL_GLOB_2015_2100.txt' file.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code that is provided along with this dataset should just be able to read in each of the precomputed regional mean .csv files and then reproduce the time series figures.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component related to the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38241, "uuid": "022d449b91eb453eb56228c17fdce725", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.20 (v20220928)", "abstract": "Data for Figure 6.20 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.20 shows projected changes in regional annual mean surface ozone (O3; ppb) from 2015 to 2100 in different shared socio-economic pathways (SSPs)\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figures 11 panels, with data provided for all panels in three files in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains precomputed values of surface ozone concentrations across world regions for:\r\n - A 10-year mean period (2005 to 2014) from the historical simulation to represent present day regional mean values. Regional multi-model annual mean and standard deviation values are calculated across 5 different CMIP6 models\r\n - Annual multi-model mean values of surface ozone from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100\r\n - Standard deviation values of surface ozone from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n All the data files provided are used to create the time series plots for each region. The numbers in each panel for each region are obtained from 'Surf_O3_data_05_14_mean_for_IPCC_figure_V1_5mods.csv', with the time series line for each scenario from 'Surf_O3_data_fut_mean_for_IPCC_figure_V1_5mods.csv' and the shading obtained by using the values in 'Surf_O3_SD_data_fut_mean_for_IPCC_figure_V1_5mods.csv'.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nppb stands for parts per billion.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The plotting code that is provided along with this dataset should just be able to read in each of the precomputed regional mean .csv files and then reproduce the time series figures. A link to the code archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38250, "uuid": "d059d2e28b6d4a7d88a6fe2d0d25ba93", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.3 v20220928", "abstract": "Data for Figure 6.3 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 6.3 shows relative regional and sectoral contributions to the present day (year 2014) anthropogenic emissions of short-lived climate forcers (SLCFs).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains emission data from the Community Emissions Data System (CEDS; Hoesly et al., 2018) aggregated into the following sectors:\r\n \r\n - fossil fuel production and distribution (coal mining, oil and gas production, upstream gas flaring, gas distribution networks),\r\n - fossil fuel combustion for energy (power plants),\r\n - residential and commercial (fossil and biofuel use for cooking and heating),\r\n - industry (combustion and production processes, solvent-use losses from production and end use),\r\n - transport (road and off-road vehicles),\r\n - shipping (including international shipping),\r\n - aviation (including international aviation),\r\n - agriculture (livestock and crop production),\r\n - waste management (solid waste, including landfills and open trash burning, residential and industrial waste water),\r\n - other.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Datafile: 'Fig_6_3_numbers.csv' \r\n . Panel a: Regional contribution, rows 41 to 59 (10 regions+8 species)\r\n . Panel b: Sector contribution, rows 17 to 35. (10 sectors and 8 pollutants)\r\n \r\n In both panels:\r\n . Column 2: S02\r\n . Column 3: NOx\r\n . Column 4: BC\r\n . Column 5: OC\r\n . Column 6: CO\r\n . Column 7: VOC\r\n . Column 8: NH3\r\n . Column 9: CH4\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3" }, { "ob_id": 38002, "uuid": "c6b366dabf9b4536b5500e5f1f7a7235", "short_code": "ob", "title": "Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.12 (v20220824)", "abstract": "Input Data for Figure 6.12 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 6.12 shows contribution to effective radiative forcing (ERF) and global mean surface air temperature (GSAT) change from component emissions between 1750 to 2019 based on CMIP6 models. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSzopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817–922, doi:10.1017/9781009157896.008.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models\r\n\r\nERFs for the direct effect of well-mixed greenhouse gases (WMGHGs) are from the analytical formulae in section 7.3.2, H2O (strat) is from Table 7.8. ERFs for other components are multi-model means from Thornhill et al. (2021b) and are based on ESM simulations in which emissions of one species at a time are increased from 1850 to 2014 levels. The derived emissions-based ERFs are rescaled to match the concentration-based ERFs in Figure 7.6.\r\n\r\nError bars are 5–95% and for the ERF account for uncertainty in radiative efficiencies and multi-model error in the means. ERFs due to aerosol–radiation (ERFari) and cloud effects are calculated from separate radiation calls for clear-sky and aerosol-free conditions (Ghan, 2013; Thornhill et al., 2021b). \r\n\r\n‘Cloud’ includes cloud adjustments (semi-direct effect) and ERF from indirect aerosol-cloud to –0.22 W m–2 for ERFari and –0.84 W m–2 interactions (ERFaci). The aerosol components (SO2, organic carbon and black carbon) are scaled to sum to –0.22 W m–2 for ERFari and –0.84 W m–2 for ‘cloud’ (Section 7.3.3). \r\n\r\nFor GSAT estimates, time series (1750–2019) for the ERFs have been estimated by scaling with concentrations for WMGHGs and with historical emissions for SLCFs. The time variation of ERFaci for aerosols is from Chapter 7. The global mean temperature response is calculated from the ERF time series using an impulse response function (Cross-Chapter Box 7.1) with a climate feedback parameter of –1.31 W m–2 °C–1. \r\n\r\nContributions to ERF and GSAT change from contrails and light-absorbing particles on snow and ice are not represented, but their estimates can be seen on Figure 7.6 and 7.7, respectively. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 6.SM.3)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interactions.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interactions. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 6.12:\r\n \r\n - Data file: hodnebrog_tab3.csv: Radiative forcing for HFCs from Hodnebrog et al (2020)\r\n - Data file: recommended_irf_from_2xCO2_2021_02_25_222758.csv: Impulse response function (IRF) from AR6\r\n - Data file: table2_thornhill2020.csv: ERF from Thornhill et al (2021)\r\n - Data file: attribution_input.csv\r\n - Data file: attribution_input_sd.csv\r\n\r\nThe folder: 'LLGHG_history_AR6_v9_updated' - contains csv files for each sheet in excel file 'LLGHG_history_AR6_v9_updated.xlsx' which gives historical concentrations from AR6.\r\n\r\nThe folder CEDS_v2021-02-05_emissions (historical emissions of SLCFs from CEDS) contains the following file formats:\r\n\r\n${component}$_${region}$_CEDS_emissions_by${category}$_${type}$_2021_02_05.csv, with:\r\n\r\n- ${component}: BC, CH4, CO2, CO, N2O, NH3, NMVOC, NOx, OC, SO2\r\n- ${region}: blank, or 'global'\r\n- ${category}: sector, country, sector and country\r\n- ${type}: blank, or 'fuel'\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using Python and the code has been embedded in Jupyter notebooks for reproducibility - code is available in the GitHub repository linked in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 6)\r\n - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3\r\n - Link to the GitHub repository containing the Jupyter notebooks used to run the code associated with this figure.\r\n - Link to the code for the figure, archived on Zenodo." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145916, 145915, 145914, 145913, 145912, 145911, 145910, 145909, 145917, 168297, 145918, 145919 ], "onlineresource_set": [ 42841, 80255 ], "project_set": [ 32705 ] }, { "ob_id": 32722, "uuid": "b96ed5cbb8304a82bf1a2a4cad49bf6d", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 7: The Earth’s energy budget, climate feedbacks, and climate sensitivity", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 7: The Earth’s energy budget, climate feedbacks, and climate sensitivity.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- input data for Figure 7.3\r\n- input data for Figure 7.4\r\n- input data for Figure 7.5\r\n- data for Figure 7.6\r\n- input data for Figure 7.7\r\n- data for Figure 7.8\r\n- input data for Figure 7.10\r\n- data for Figure 7.11\r\n- input data for Figure 7.13\r\n- data for Figure 7.16\r\n- data for Figure 7.17\r\n- input data for Figure 7.18\r\n- data for Figure 7.19\r\n- input data for Figure 7.21\r\n- data for FAQ 7.3, Figure 1\r\n- input data for FAQ 7.3, Figure 1\r\n- data for 7.SM.1\r\n- input data for Box 7.2, Figure 1", "keywords": "IPCC, AR6, WG1, Chapter 7", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:18:12", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37817, "uuid": "0dd364e74c254b64bb5fddb5dceed364", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.6 (v20220721)", "abstract": "Data for Figure 7.6 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.6 shows the change in effective radiative forcing (ERF) from 1750 to 2019 by contributing forcing agents (carbon dioxide, other well-mixed greenhouse gases (WMGHGs), ozone, stratospheric water vapour, surface albedo, contrails and aviation-induced cirrus, aerosols, anthropogenic total, and solar). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nChange in effective radiative forcing (ERF) from 1750 to 2019 by the following contributing forcing agents:\r\n - Carbon dioxide\r\n - Other well-mixed greenhouse gases (WMGHGs)\r\n - Ozone\r\n - Stratospheric water vapour\r\n - Surface albedo\r\n - Contrails and aviation-induced cirrus\r\n - Aerosols\r\n - Anthropogenic total\r\n - Solar \r\n\r\nSolid bars represent best estimates, and very likely (5–95%) ranges are given by error bars. \r\nNon-CO2 WMGHGs are further broken down into contributions from methane (CH4), nitrous oxide (N2O) and halogenated compounds. \r\nSurface albedo is broken down into land-use changes and light-absorbing particles on snow and ice. \r\nAerosols are broken down into contributions from aerosol–cloud interactions (ERFaci) and aerosol–radiation interactions (ERFari). For aerosols and solar, the 2019 single-year values are given (Table 7.8), which differ from the headline assessments in both cases. Volcanic forcing is not shown due to the episodic nature of volcanic eruptions. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.6:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv\r\n - Data file: AR6_ERF_1750-2019_pc05.csv\r\n - Data file: AR6_ERF_1750-2019_pc95.csv\r\n\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data for the bars in this figure correspond to the 2019 data in final line of the csv files provided.\r\n\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository, which is linked in the 'Related Documents' section. Within the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 7 GitHub repository \r\n- Link to the notebook for plotting figure" }, { "ob_id": 37820, "uuid": "6842c53c516746ea860e11512dc133c2", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.3 (v20220721)", "abstract": "Input Data for Figure 7.3 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.3 shows anomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 and various CMIP6 climate models in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels, with input data provided for panels a-c. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Anomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n- Anomalies in various CMIP6 climate models in terms of reflected solar, emitted thermal and net TOA fluxes. \r\n\r\n(a) Global mean solar flux anomaly.\r\n(b) Global mean thermal flux anomaly.\r\n(c) Global mean net flux anomaly.\r\n\r\nAnomalies in global mean all-sky top-of-atmosphere (TOA) fluxes from CERES-EBAF Ed4.0 are depicted as solid black lines.\r\nAnomalies in CMIP6 climate models are depicted as coloured lines.\r\nThe multi-model means are additionally depicted as solid red lines. \r\n\r\nModel fluxes stem from simulations driven with prescribed sea surface temperatures (SSTs) and all known anthropogenic and natural forcings. Shown are anomalies of 12-month running means. All flux anomalies are defined as positive downwards, consistent with the sign convention used throughout this chapter. The correlations between the multi-model means (solid red lines) and the CERES records (solid black lines) for 12-month running means are: 0.85 for the global mean reflected solar; 0.73 for outgoing thermal radiation; and 0.81 for net TOA radiation. Figure adapted from Loeb et al. (2020). \r\n\r\nThe models from which the input data are derived are the following:\r\n- CERES\r\n- CESM2\r\n- CanESM5\r\n- EC-Earth3\r\n- ECHAM\r\n- GFDL\r\n- HadGEM3\r\n- IPSL\r\n- multimodel\r\n- EC-Earth3-Veg\r\n- ECHAM6.3\r\n- GFDL-AM4\r\n- IPSL-CM6A\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCERES stands for Clouds and the Earth's Radiant Energy System.\r\nCERES-EBAF Ed4.0 is the Clouds and the Earth's Radiant Energy System - Energy Balanced and Filled data product version 4.\r\nCESM2 is the Community Earth System Model version 2.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nEC-Earth3 is the European Community Earth-system model version 3.\r\nECHAM is an atmospheric General Circulation Model (GCM) from the MPI (Max Planck Institute for Meteorology).\r\nGFDL is the Geophysical Fluid Dynamics Laboratory.\r\nHadGEM3 is the Met Offfice Hadley Centre Global Environment Model version 3.\r\nIPSL is the Institut Pierre-Simon Laplace. \r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nECHAM6.3 is version 6.2 of the atmospheric General Circulation Model (GCM) ECHAM from the MPI (Max Planck Institute for Meteorology).\r\nGFDL-AM4 is the Geophysical Fluid Dynamics Laboratory Atmosphere and Land Model version 4.\r\nIPSL-CM6A is the Institut Pierre-Simon Laplace Climate Model for CMIP6.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.3:\r\n\r\n - Data file: Global_Net_Anomaly_Timeseries_12monthMean.txt\r\n - Data file: Global_SW_Anomaly_Timeseries_12monthMean.txt\r\n - Data file: Global_LW_Anomaly_Timeseries_12monthMean.txt\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input data provided is used in the notebook to output figure 7.3. To reproduce the figure from the input data, you will need to edit the path 'datadir' in box 3 of the notebook based on your local directory structure.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the notebook for plotting the figure on the Chapter 7 GitHub repository" }, { "ob_id": 37823, "uuid": "9ce84c3a242e4b999c24dc1647c89794", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721)", "abstract": "Data for Figure 7.19 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.19 shows global mean temperature anomaly in models and observations from five time periods. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels, with data provided for panels a-e.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean temperature anomaly in:\r\n(a) Historical (CMIP6 models); \r\n(b) post-1975 (CMIP6 models); \r\n(c) Last Glacial Maximum (LGM; Cross-Chapter Box 2.1; PMIP4 models; Kageyama et al., 2021; Zhu et al., 2021); \r\n(d) mid-Pliocene Warm Period (MPWP; Cross-Chapter Box 2.4; PlioMIP models; Haywood et al., 2020; Zhang et al., 2021); \r\n(e) Early Eocene Climatic Optimum (EECO; Cross-Chapter Box 2.1; DeepMIP models; Zhu et al., 2020; Lunt et al., 2021). \r\n\r\nGrey circles show models with ECS in the assessed very likely range; models in red have an ECS greater than the assessed very likely range (>5°C); models in blue have an ECS lower than the assessed very likely range (<2°C). Black ranges show the assessed temperature anomaly derived from observations (Section 2.3). The historical anomaly in models and observations is calculated as the difference between 2005–2014 and 1850–1900, and the post-1975 anomaly is calculated as the difference between 2005–2014 and 1975–1984. \r\n\r\nFor the LGM, MPWP and EECO, temperature anomalies are compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’). All model simulations of the MPWP and LGM were carried out with atmospheric CO2 concentrations of 400 and 190 ppm respectively. However, CO2 during the EECO is relatively more uncertain, and model simulations were carried out at either 1120ppm or 1680 ppm (except for the one high-ECS EECO simulation which was carried out at 840 ppm; Zhu et al., 2020). The one low-ECS EECO simulation was carried out at 1680 ppm. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nECS stands for Equilibrium Climate Sensitivity.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.19:\r\n \r\n - Data file: Figure7_19_mod.csv\r\n - Data file: Figure7_19_obs.csv\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the output data of the figure which can be used to reproduce the figure. Link to the plotting script for reproducing this figure 'ipcc_figure_7.19.ipynb' can be found in the Related Documents section of this catalogue record.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for Chapter 7, archived on Zenodo\r\n- Link to scripts used to reproduce figure from data\r\n- Link to the Chapter 7 GitHub repository" }, { "ob_id": 37828, "uuid": "f0f622f4e9d14f95949a5cc44451e8bb", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.SM.1 (v20220721)", "abstract": "Data for Figure 7.SM.1 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.SM.1 shows total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 13 subpanels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n- Graph (top panel) showing radiative forcing trajectories for (shaded regions):\r\n - SSP5-8.5 (brown line)\r\n - SSP3-7.0-lownNTCF (red dashed line)\r\n - SSP3-7.0 (red line)\r\n - SSP3-7.0-lowNTCFCH4 (red dotted line)\r\n - SSP4-6.0 (orange line)\r\n - SSP2-4.5 (yellow line)\r\n - SSP5-3.4-over (early overshoot of purple line)\r\n - SSP4-3.4 (light blue line)\r\n - SSP1-2.6 (purple line)\r\n - SSP1-1.9 (green line)\r\n- Radiative forcing component breakdowns (smaller subpanels):\r\n - CO2 (carbon dioxide)\r\n - CH4 (methane)\r\n - N2O (nitrous oxide)\r\n - Halogenated gases\r\n - O3 (ozone)\r\n - Strat H2O (stratospheric water)\r\n - Contrails and aviation induced cirrus\r\n - Aerosol-radiation interactions\r\n - Aerosol-cloud interactions\r\n - Light absorbing particles on snow and ice\r\n - Land use\r\n - Solar\r\n\r\nUncertainty ranges are not shown for SSP3-7.0-lowNTCF and SSP3-7.0-NTCFCH4 for visual clarity. Bottom matrix shows the best estimate ERF for each anthropogenic component, and solar (volcanic ERF is zero beyond 2024).\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP119 is the Shared Socioeconomic Pathway which represents the lowest scenario of radiative forcing and development scenarios, consistent with RCP1.9.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nNTCF stands for Near-Term Climate Forcer.\r\nERF stands for Effective Radiative Forcing.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.SM.1:\r\n\r\n - Data file: ERF_%_1750-2500.csv'\r\n - Data file: ERF_%_1750-2500_pc05.csv\r\n - Data file: ERF_%_1750-2500_pc95.csv\r\n - Data file: ERF_%_minorGHGs_1750-2500.csv\r\n\r\nEach % is substituted for one of the following scenarios:\r\nSSP119 - best estimate.\r\nSSP119 - 5th percentile.\r\nSSP119 - 95th percentile.\r\nSSP119 minor GHGs - best estimate.\r\n\r\nSSP126 - best estimate.\r\nSSP126 - 5th percentile.\r\nSSP126 - 95th percentile.\r\nSSP126 minor GHGs - best estimate. \r\n\r\nSSP245 - best estimate.\r\nSSP245 - 5th percentile.\r\nSSP245 - 95th percentile.\r\nSSP245 minor GHGs - best estimate.\r\n\r\nSSP334 - best estimate.\r\n\r\nSSP370 - best estimate.\r\nSSP370 - 5th percentile.\r\nSSP370 - 95th percentile.\r\nSSP370 minor GHGs - best estimate.\r\nSSP370 low NTCF - best estimate.\r\nSSP370 low NTCF - 5th percentile.\r\nSSP370 low NTCF - 95th percentile.\r\nSSP370 low NTCF minor GHGs - best estimate.\r\nSSP370 low NTCFCH4 - best estimate.\r\nSSP370 low NTCFCH4 - 5th percentile.\r\nSSP370 low NTCFCH4 - 95th percentile.\r\nSSP370 low NTCFCH4 minor GHGs - best estimate.\r\n\r\nSSP434 - best estimate.\r\nSSP434 - 5th percentile.\r\nSSP434 - 95th percentile.\r\nSSP434 minor GHGs - best estimate.\r\n\r\nSSP460 - best estimate.\r\nSSP460 - 5th percentile.\r\nSSP460 - 95th percentile.\r\nSSP460 minor GHGs - best estimate.\r\n\r\nSSP534 over - best estimate.\r\nSSP534 over - 5th percentile.\r\nSSP534 over - 95th percentile.\r\nSSP534 over minor GHGs - best estimate.\r\n\r\nSSP585 - best estimate.\r\nSSP585 - 5th percentile.\r\nSSP585 - 95th pecentile.\r\nSSP585 minor GHGs - best estimate.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the Jupyter notebook for plotting the figure from the Chapter 7 GitHub repository\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37807, "uuid": "6fcc9d2c792243c1bb99de9c3cfdef2f", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.16 (v20220721)", "abstract": "Data for Figure 7.16 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.16 shows probability distributions of ERF to CO2 doubling and the net climate feedback, derived from process-based assessments in Sections 7.3.2 and 7.4.2. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data written into the plotting script in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Probability distributions of ERF to CO2 doubling and ECS distribution quantile (ΔF2×CO2; top) \r\n- Net climate feedback (climate feedback parameter vs. effective radiative forcing from 2xCO2, bottom left) and probability density (α; bottom right)\r\n\r\nCentral panel shows the joint probability density function calculated on a two-dimensional plane of ΔF2×CO2 and α (red), on which the 90% range shown by an ellipse is imposed to the background theoretical values of ECS (colour shading). The white dot, and thick and thin curves inside the ellipse represent the mean, likely and very likely ranges of ECS. \r\n\r\nAn alternative estimation of the ECS range (pink) is calculated by assuming that ΔF2×CO2 and α have a covariance. The assumption about the co-dependence between ΔF2×CO2 and α does not alter the mean estimate of ECS but affects its uncertainty. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n No data is provided for Figure 7.16 as the data is written in to the notebook used to plot the figure. This notebook is linked in the Related Documents section of this catalogue record.\r\n\r\nERF stands for Effective Radiative Forcing.\r\nECS stands for Equilibrium Climate Sensitivity.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook on the Chapter 7 GitHub repository used to plot figure" }, { "ob_id": 37824, "uuid": "f94821849dfb4ee2bd1a367a81a6b6f7", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.21 (v20220721)", "abstract": "Input Data for Figure 7.21 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.21 shows emissions metrics for two short-lived greenhouse gases: HFC-32 and methane (CH4; lifetimes of 5.4 and 11.8 years). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data provided for panels a-d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Emissions metrics for HFC-32 and methane (CH4):\r\n(a) Temperature response to a step change in short-lived greenhouse gas emissions. \r\n(b) Temperature response to a pulse CO2 emission. \r\n(c) Conventional GTP metrics (pulse vs pulse). \r\n(d) Combined GTP metric (step versus pulse). \r\n\r\nThe temperature response function comes from Supplementary Material 7.SM.5.2. Values for non-CO2 species include the carbon cycle response (Section 7.6.1.3). Results for HFC-32 have been divided by 100 to show on the same scale. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nGTP stands for Global Temperature-change Potential.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.21:\r\n \r\n - Data file: cgtp.csv\r\n\r\nThe data in this files is identical to the original data in .npz format. Link to the orginal data in this format used with the code for reproducing the figure is provided in the 'Related Documents' section.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The link to the input .npz file provided is used in the notebook to output figure 7.21. To reproduce the figure from the input data, you will need to run the notebook from the same directory as the input data and adjust the path to the data in box 3.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the original data in .npz format used in the code\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook on the Chapter 7 GitHub repository for plotting the figure" }, { "ob_id": 37906, "uuid": "3069833ab06a4968a90fa9f649b87ed7", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.7 (v20220721)", "abstract": "Input Data for Figure 7.7 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.7 shows the contribution of forcing agents to 2019 temperature change relative to 1750 produced using the two-layer emulator (Supplementary Material 7.SM.2), constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Contribution of forcing agents to 2019 temperature change relative to 1750 produced using the two-layer emulator (Supplementary Material 7.SM.2), constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1. The forcing agents represented are the following:\r\n - carbon dioxide\r\n - other well-mixed greenhouse gases (WMGHGs)\r\n - ozone\r\n - stratospheric water vapour\r\n - surface albedo\r\n - contrails and aviation-induced cirrus\r\n - aerosols\r\n - solar\r\n - volcanic\r\n - total\r\n\r\nThe results are from a 2237-member ensemble. \r\nSolid bars represent best estimates, and very likely (5–95%) ranges are given by error bars. Dashed error bars show the contribution of forcing uncertainty alone, using best estimates of ECS (3.0°C), TCR (1.8°C) and two-layer model parameters representing the CMIP6 multi-model mean. \r\nSolid error bars show the combined effects of forcing and climate response uncertainty using the distribution of ECS and TCR from Tables 7.13 and 7.14, and the distribution of calibrated model parameters from 44 CMIP6 models. \r\nNon-CO2 WMGHGs are further broken down into contributions from methane (CH4), nitrous oxide (N2O) and halogenated compounds. \r\nSurface albedo is broken down into land-use changes and light-absorbing particles on snow and ice. \r\nAerosols are broken down into contributions from aerosol–cloud interactions (ERFaci) and aerosol–radiation interactions (ERFari). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.7:\r\n \r\n - Data file: AR6 FGD assessment time series - GMST and GSAT.xlsx\r\n\r\nECS stands for Equilibrium Climate Sensitivity.\r\nTCR stands for Transient Climate Response.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nWithin the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37813, "uuid": "80380cfc0b10478b8b5821c0facdbdda", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.10 (v20220721)", "abstract": "Input Data for Figure 7.10 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.10 shows global mean climate feedbacks estimated in abrupt4xCO2 simulations of 29 CMIP5 models and 49 CMIP6 models, compared with those assessed in this Report. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean climate feedbacks estimated in abrupt4xCO2 simulations of 29 CMIP5 models and 49 CMIP6 models, compared with those assessed in AR6. The radiative kernels represented are the following:\r\n - Water vapour & lapse rate\r\n - Surface albedo\r\n - Cloud\r\n - Biogeophysical and non-CO2 biogeochemical\r\n - Net feedback\r\n - Planck response\r\n\r\nCMIP5 - light blue\r\nCMIP6 - orange\r\nThis Assessment Report - red\r\n\r\nIndividual feedbacks for CMIP models are averaged across six radiative kernels as computed in Zelinka et al. (2020). \r\nThe white line, black box and vertical line indicate the mean, 66% and 90% ranges, respectively. The shading represents the probability distribution across the full range of GCM/ESM values and for the 2.5–97.5 percentile range of the AR6 normal distribution. The unit is W m–2 °C–1. \r\nFeedbacks associated with biogeophysical and non-CO2 biogeochemical processes are assessed in AR6, but they are not explicitly estimated from general circulation models (GCMs)/Earth system models (ESMs) in CMIP5 and CMIP6. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.10:\r\n \r\n - Data file: cmip56_feedbacks_AR6.json\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input json file provided is used in the notebook to output figure 7.10. To reproduce the figure from the input data, you will need to run the notebook from the same directory as the input data.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the notebook for plotting the figure on GitHub\r\n - Link to Zelinka et al. (2020)" }, { "ob_id": 39759, "uuid": "7b3d379fc1f040978df4806c6775a0df", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.5 (v20230221)", "abstract": "Input Data for Figure 7.5 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.5 shows net aerosol effective radiative forcing (ERF) from different lines of evidence. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with input data provided for this panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Net aerosol effective radiative forcing (ERF), in W m-2, from:\r\n - AR5 assessment\r\n - AR6 assessment comprising the following:\r\n (Energy balance constraints [–2 to 0 W m–2 with no best estimate])\r\n (Observational evidence from satellite retrievals of –1.4 [–2.2 to –0.6] W m–2)\r\n (Combined model-based evidence of –1.25 [–2.1 to –0.4] W m–2)\r\n\r\nThe headline AR6 assessment of –1.3 [–2.0 to –0.6] W m–2 is highlighted in purple for 1750–2014 and compared to the AR5 assessment of –0.9 [–1.9 to –0.1] W m–2 for 1750–2011. The evidence comprising the AR6 assessment is shown below this (shown in brackets in the list of data provided). \r\n\r\nEstimates from individual CMIP5 (Zelinka et al., 2014) and CMIP6 (Smith et al., 2020b and Table 7.6) models are depicted by blue and red crosses respectively. \r\nFor each line of evidence the assessed best-estimate contributions from ERFari and ERFaci are shown with darker and paler shading respectively. \r\nThe observational assessment for ERFari is taken from the IRFari. \r\nUncertainty ranges are represented by black bars for the total aerosol ERF and depict very likely ranges. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.5\r\n \r\n - Data file: table7.6.csv\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\nERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\nIRFari stands for Instantaneous Radiative Forcing of aerosol-radiation interaction.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. \r\nThe notebook to produce this figure uses Table 7.6 from the report chapter and data from Zelinka et al., 2014 written into the code.\r\nTo reproduce the figure from the input data provided here ('table7.6.csv'), you will need to edit the path in box 5 of the notebook based on your local directory structure.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo,\r\n- Link to the notebook for plotting the figure from the Chapter 7 GitHub repository which also contains input data files" }, { "ob_id": 37826, "uuid": "47586c6f52a9473ea0b1f909fb231bfc", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for FAQ 7.3, Figure 1 (v20220721)", "abstract": "Input Data for FAQ 7.3 Figure 1, from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFAQ 7.3 Figure 1 shows equilibrium climate sensitivity and future warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with input data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (left) Equilibrium climate sensitivities for the current generation (CMIP6) climate models, and the previous (CMIP5) generation. The assessed range in this Report (AR6) is also shown. \r\n\r\n- (right) Climate projections of CMIP5, CMIP6 and AR6 for the very high-emissions scenarios RCP8.5, and SSP5-8.5, respectively. \r\n\r\nThe thick horizontal lines represent the multi-model average and the thin horizontal lines represent the results of individual models. The boxes represent the model ranges for CMIP5 and CMIP6 and the range assessed in AR6.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to FAQ 7.3 Figure 1.\r\n \r\n - Data file: ecs_for_faq.csv\r\n - Data file: tcr_for_faq.csv\r\n - Data files: CMIP5_means/dtas_\"+model+\".nc\r\n - Data files: CMIP5_means/tas_\"+model+\"_rcp85.nc\r\n - Data files: CMIP5_means/tas_\"+model+\"_piControl.nc\r\n - Data files: CMIP6_means/dtas_\"+model+\".nc\r\n - Data files: CMIP6_means/tas_\"+model+\"_ssp585.nc\r\n - Data files: CMIP6_means/tas_\"+model+\"_piControl.nc\r\n\r\nModels to be substituted in file names where +model+ exists:\r\n- ACCESS-CM2\r\n- ACCESS-ESM1-5\r\n- AWI-CM-1-1-MR\r\n- BCC-CSM2-MR\r\n- CAMS-CSM1-0\r\n- CESM2-WACCM\r\n- CESM2\r\n- CIESM\r\n- CMCC-CM2-SR5\r\n- CNRM-CM6-1-HR\r\n- CNRM-CM6-1\r\n- CNRM-ESM2-1\r\n- CanESM5\r\n- EC-Earth3-Veg\r\n- FGOALS-f3-L\r\n- FGOALS-g3\r\n- FIO-ESM-2-0\r\n- GISS-E2-1-G\r\n- HadGEM3-GC31-LL\r\n- HadGEM3-GC31-MM\r\n- IITM-ESM\r\n- INM-CM4-8\r\n- INM-CM5-0\r\n- IPSL-CM6A-LR\r\n- KACE-1-0-G\r\n- MCM-UA-1-0\r\n- MIROC-ES2L\r\n- MIROC6\r\n- MPI-ESM1-2-HR\r\n- MPI-ESM1-2-LR\r\n- MRI-ESM2-0\r\n- NESM3\r\n- NorESM2-LM\r\n- NorESM2-MM\r\n- TaiESM1\r\n- UKESM1-0-LL\r\nThis means the _ssp585.nc and _piControl.nc files have 36 versions each, for both CMIP5 and CMIP6 (a total of 144 netCDF files).\r\n\r\nThe above files are from the 'contributed' folder on the 'master' GitHub repository, rather than in data_input or data_output. \r\n\r\nCMIP5 is the fifth stage of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth stage of the Coupled Model Intercomparison Project.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nAWI-CM-1-1-MR is the Alfred Wegener Institute Climate Model version 1.1 - Medium Resolution, with locally-increased horizontal resolution over energetically active ocean areas.\r\nBCC-CSM2-MR is the Beijing Climate Center Climate System Model version 2 - moderate vertical resolution.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCESM2-WACCM is the Community System Model version 2- Whole Atmosphere Community Climate Model.\r\nCESM2 is the Community Earth System Model version 2.\r\nCIESM is the Community Integrated Earth System Model.\r\nCMCC-CM2-SR5 is the Euro-Mediterranean Centre on Climate Change Coupled Climate Model version 2 - standard configuration.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nFGOALS-f3-L is the Flexible Global Ocean-Atmosphere-Land System Model, Finite-volume version 3, low horizontal resolution. \r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3.\r\nFIO-ESM-2-0 is the First Institute of Oceanography Earth System Model version 2.0.\r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nHadGEM3-GC31-LL is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nHadGEM3-GC31-MM is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N216/ORCA025.\r\nIITM-ESM is the Indian Institute of Tropical Meteorology Earth System Model.\r\nINM-CM4-8 is the Institute for Numerical Mathematics Climate Model version 4.8. \r\nINM-CM5-0 is the Institute for Numerical Mathematics Climate Model version 5.0. \r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMCM-UA-1-0 is the Manabe Climate Climate - University of Arizona - version 1.0. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate version 6.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNESM3 is the Nanjing University of Information Science and Technology Earth System Model version 3.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nTaiESM1 is theTaiwan Earth System Model version 1.\r\nUKESM1-0-LL is the The UK Earth System Model - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nThe notebook used to plot this figure is linked in the 'Related Documents' section. The output figure data is also archived at CEDA.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the Jupyter notebook for plotting this figure from the Chapter 7 GitHub repository\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37892, "uuid": "568fb4b2e6464a50a30c7140bb88a497", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box 7.2, Figure 1. (v20220817)", "abstract": "Input Data for Box 7.2, Figure 1 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox 7.2, Figure 1 shows estimates of the net cumulative energy change (ZJ = 1021 Joules) for the period 1971–2018 associated with: (a) observations of changes in the Global Energy Inventory (b) Integrated Radiative Forcing; (c) Integrated Radiative Response. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with input data provided for panels a-f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Estimates of the net cumulative energy change (ZJ = 1021 Joules) for the period 1971–2018 associated with: \r\n(a) observations of changes in the Global Energy Inventory \r\n(b) Integrated Radiative Forcing; \r\n(c) Integrated Radiative Response.\r\n\r\nBlack dotted lines indicate the central estimate with likely and very likely ranges as indicated in the legend. The grey dotted lines indicate the energy change associated with an estimated pre-industrial Earth energy imbalance of 0.2 W m–2 (a), and an illustration of an assumed pattern effect of –0.5 W m–2 °C–1 (c). \r\n\r\nBackground grey lines indicate equivalent heating rates in W m–2 per unit area of Earth’s surface. \r\nPanels (d) and (e) show the breakdown of components, as indicated in the legend, for the global energy inventory and integrated radiative forcing, respectively. Panel (f) shows the global energy budget assessed for the period 1971–2018, that is, the consistency between the change in the global energy inventory relative to pre-industrial and the implied energy change from integrated radiative forcing plus integrated radiative response under a number of different assumptions, as indicated in the legend, including assumptions of correlated and uncorrelated uncertainties in forcing plus response. \r\n\r\nShading represents the very likely range for observed energy change relative to pre-industrial levels and likely range for all other quantities. \r\nForcing and response time series are expressed relative to a baseline period of 1850–1900. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box 7.2, Figure 1:\r\n \r\n - Data file: AR6_ERF_1750-2019.csv\r\n - Data file: AR6_energy_GMSL_timeseries_FGD_1971to2018_IMBIEupdate.csv\r\n - Data file: AR6_energy_GMSL_timeseries_FGD_1971to2018_corrigendum.csv\r\n - Data file: Box7.2_ERF_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_Response_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_ERFResp_uncorrelated_ZJ_percentiles_FGD_1971to2018.csv\r\n - Data file: Box7.2_ERFResp_correlated_ZJ_percentiles_FGD_1971to2018.csv\r\n\r\nData files are converted to csv from pickle format for archival. A link to the original files on GitHub is provided in the 'Related Documents' section.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nThe data provided here is converted from pickle files which are used in the plotting script. The link to the original pickle files on GitHub is provided. To reproduce the figure from the input data provided, you will need to edit the filepaths within the notebook based on your local directory structure.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the notebook to plot the figure on the Chapter 7 GitHub repository\r\n - Link to the original pickle files on GitHub\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to Cross-Chapter Box 9.1, Figure 1" }, { "ob_id": 38323, "uuid": "5d6b9c165edf4e69b624ddeb5d28f5ee", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 7.3, Figure 1 (v20220721)", "abstract": "Data for FAQ 7.3 Figure 1, from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFAQ 7.3 Figure 1 shows equilibrium climate sensitivity and future warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (left) Equilibrium climate sensitivities for the current generation (CMIP6) climate models, and the previous (CMIP5) generation. The assessed range in this Report (AR6) is also shown. \r\n\r\n- (right) Climate projections of CMIP5, CMIP6 and AR6 for the very high-emissions scenarios RCP8.5, and SSP5-8.5, respectively. \r\n\r\nThe thick horizontal lines represent the multi-model average and the thin horizontal lines represent the results of individual models. The boxes represent the model ranges for CMIP5 and CMIP6 and the range assessed in AR6.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to FAQ 7.3 Figure 1.\r\n \r\n- Data file: ECS_Proj_CMIP5_CMIP6.csv \r\n \r\n\r\nCMIP5 is the fifth stage of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth stage of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided \"as-is\" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.\r\n\r\nThe notebook used to plot this figure and the input data used in the code are linked in the 'Related Documents' section. The input data to this code is also archived at CEDA.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the Jupyter notebook for plotting this figure from the Chapter 7 GitHub repository\r\n - Link to the code for the figure, archived on Zenodo" }, { "ob_id": 37819, "uuid": "d32090ff8fe342788191683eb4416411", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.4 (v20230517)", "abstract": "Input Data for Figure 7.4 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.4 shows radiative adjustments at top of atmosphere for seven different climate drivers as a proportion of forcing. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with input data provided. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Radiative adjustment for tropospheric temperature (orange)\r\n- Radiative adjustment for stratospheric temperature (yellow)\r\n- Radiative adjustment for water vapour (blue)\r\n- Radiative adjustment for surface albedo (green)\r\n- Radiative adjustment for clouds (grey)\r\n- Total adjustment (black) \r\n\r\nFor the greenhouse gases (carbon dioxide, methane, nitrous oxide and CFC-12) the adjustments are expressed as a percentage of stratospheric-temperature-adjusted radiative forcing (SARF), whereas for aerosol, solar and volcanic forcing they are expressed as a percentage of instantaneous radiative forcing (IRF). Land surface temperature response (outline red bar) is shown, but included in the definition of forcing. Data from Smith et al. (2018b) for carbon dioxide and methane; Smith et al. (2018b) and Gray et al. (2009) for solar; Hodnebrog et al. (2020b) for nitrous oxide and CFC-12; Smith et al. (2020b) for aerosol, and Marshall et al. (2020) for volcanic. \r\nIRFs come from offline calculations by Chris and Gunnar (for CAM4)\r\n\r\ntas_SW, ta_trop_SW, ta_strat_SW. alb_LW are always set to zero. Variables are included in netcdf anyways for consistency.\r\nWhen LW or SW IRFs is not available, The value is set to NaN in the netcdf.\r\nWhen the IRFs are NaN, the corresponding cloud adjustments are also set to NaN.\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\nCanESM2 is the Canadian Earth System Model version 2.\r\nECHAM-HAM is the atmospheric General Circulation Model (GCM) from the MPI (Max Planck Institute for Meteorology) - Hamburg Aerosol Model.\r\nGISS-E2-R is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the Russell OGCM. \r\nHadGEM2 is the Met Offfice Hadley Centre Global Environment Model version 2.\r\nHadGEM3 is the Met Offfice Hadley Centre Global Environment Model version 3.\r\nIPSL-CM5A is the Institut Pierre-Simon Laplace Climate Model for CMIP5.\r\nMIROC-SPRINTARS is the Model for Interdisciplinary Research on Climate - Spectral Radiation-Transport Model for Aerosol Species.\r\nMPI-ESM is the Max Planck Institute Earth System Model.\r\nNCAR-CESM1-CAM4 is the National Center for Atmospheric Research - Community Earth System Model version 1 - Community Atmosphere Model version 4. \r\nNCAR-CESM1-CAM5 is the National Center for Atmospheric Research - Community Earth System Model version 1 - Community Atmosphere Model version 5. \r\nHadGEM2 is the Met Offfice Hadley Centre Global Environment Model version 2.\r\nGFDL is the Geophysical Fluid Dynamics Laboratory.\r\nBMRC is the Australian Bureau of Meteorology Research Centre.\r\nCCSM4 is the Community Climate System Model version 4.\r\nCESM is the Community Earth System Model.\r\nERF stands for Effective Radiative Forcing.\r\nIRF stands for Instantaneous Radiative Forcing. \r\nTAS stands for Temperature at Surface. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nThe CSV file used to plot Figure 7.4 is provided:\r\n\r\n- 'fig7.4.csv'\r\n\r\nThe github repository contains all input files to the plotting script for the figure except 'rcmip-concentrations-annual-means-v5-1-0.csv'. These are processed and combined in the code to create a single file 'fig7.4.csv' which is provided. The figure can be reproduced using just this file by running the notebook from box 22 by reading in the csv as variable 'adjustments_df'.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository linked in the Related Documents section. The github repository contains all input files to the notebook except 'rcmip-concentrations-annual-means-v5-1-0.csv'. These are processed and combined in the code to create a single file 'fig7.4.csv' which is provided. The figure can be reproduced using just this file by running the notebook from box 22 by reading in the csv as variable 'adjustments_df'.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the notebook for plotting the figure from the Chapter 7 GitHub repository which also contains input data files" }, { "ob_id": 37810, "uuid": "4dbd3ccb85d747188586735133f1d3d9", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.13 (v20220118)", "abstract": "Input Data for Figure 7.13 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.13 shows polar amplification in paleo proxies and models of the Early Eocene Climatic Optimum (EECO), the Mid-Pliocene Warm Period (MPWP) and the Last Glacial Maximum (LGM). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 12 subpanels, with input data provided for panels a-l.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nTemperature anomalies compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’) for:\r\n - the high-CO2 EECO and MPWP time periods\r\n - the low-CO2 LGM (expressed as pre-industrial minus LGM)\r\n\r\n(a), (b) and (c) Modelled near-surface air temperature anomalies for ensemble-mean simulations of the (a) EECO (Lunt et al., 2021); (b) MPWP (Haywood et al., 2020; Zhang et al., 2021); and (c) LGM (Kageyama et al., 2021; Zhu et al., 2021). Also shown are proxy near-surface air temperature anomalies (coloured circles). \r\n\r\n(d), (e) and (f) Proxy near-surface air temperature anomalies (grey circles), including published uncertainties (grey vertical bars), model ensemble mean zonal mean anomaly (solid red line) for the same model ensembles as in (a–c), light-red lines show the modelled temperature anomaly for the individual models that make up each ensemble (LGM, N=9; MPWP, N=17; EECO, N=5). \r\n\r\n(g), (h) and (i) Proxy sea surface temperature (SST) anomalies, including published uncertainties (grey vertical bars), model ensemble mean zonal mean anomaly (solid red line) for the same model ensembles as in (j-l), light-red lines show the modelled temperature anomaly for the individual models that make up each ensemble (LGM, N=9; MPWP, N=17; EECO, N=5).\r\n\r\n(j), (k) and (l) Modelled sea surface temperature (SST) for ensemble-mean simulations of the (a) EECO (Lunt et al., 2021); (b) MPWP (Haywood et al., 2020; Zhang et al., 2021); and (c) LGM (Kageyama et al., 2021; Zhu et al., 2021). \r\n\r\nBlack dashed lines show the average of the proxy values in each latitude band: 90°S–30°S, 30°S–30°N, and 30°N–90°N. \r\nRed dashed lines show the same banded average in the model ensemble mean, calculated from the same locations as the proxies. \r\nBlack and red dashed lines are only shown if there are five or more proxy points in that band. \r\n\r\nMean differences between the 90°S/N to 30°S/N and 30°S to 30°N bands are quantified for the models and proxies in each plot. \r\n\r\nFor the EECO maps – (a) and (j) – the anomalies are relative to the zonal mean of the pre-industrial, due to the different continental configuration. Proxy datasets are: (a) and (d) Hollis et al. (2019); (b) and (e) Salzmann et al. (2013); Vieira et al. (2018), (c) and (f) Cleator et al. (2020) at the sites defined in Bartlein et al. (2011); (g) and (j) Hollis et al. (2019); (h) and (k) McClymont et al. (2020); (i) and (l) Tierney et al. (2020b). Where there are multiple proxy estimations at a single site, a mean is taken. \r\n\r\nModel ensembles are:\r\n(a), (d), (g) and (j) DeepMIP (only model simulations carried out with a mantle-frame paleogeography, and carried out under CO2 concentrations within the range assessed in Table 2.2, are shown);\r\n(b), (e), (h) and (k) PlioMIP;\r\n(c), (f), (i) and (l) PMIP4. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.13:\r\n \r\nObserved data:\r\n - Data file: Figure7_13_obs.csv \r\n\r\nModel data:\r\n- model data in net-CDF files is contained in the directory 'Figure_7_13_mod' in separate directories for Eocene '/eocene', Mid-pliocene '/pliocene' and Last Glacial Maximum '/lgm' periods \r\n\r\nlandsea mask data:\r\n - Data file: Plio_enh_topo_v1.0_regrid.nc\r\n - Data file: peltier_ice4g_orog_21_regrid.nc\r\n - Data file: herold_etal_eocene_topo_1x1.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nDeepMIP is The Deep-Time Model Intercomparison Project.\r\nPlioMIP is the Pliocene Model Intercomparison Project\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the input data of plotting scripts which can be used to reproduce the figure. Plotting scripts for reproducing this figure are linked in the Related Documents section of this catalogue record. The notebook 'ipcc_figure_7.13.ipynb' can be run with the provided data to reproduce the figure, you need to edit the directory paths to match your local directory within the notebook.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the plotting scripts to reproduce the figure \r\n - Link to the Chapter 7 GitHub repository\r\n - Link to the code for Chapter 7, archived on Zenodo" }, { "ob_id": 37815, "uuid": "5ef11ad195844a59b83393870a5860e1", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.8 (v20220721)", "abstract": "Data for Figure 7.8 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.8 shows attributed global surface air temperature change (GSAT) from 1750 to 2019 produced using the two-layer emulator (Supplementary Material 7.SM.2), forced with ERF derived in this chapter (displayed in Figure 2.10) and climate response constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for this panel. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nAttributed global surface air temperature change (GSAT) from 1750 to 2019 produced using the two-layer emulator (Supplementary Material 7.SM.2), forced with ERF derived in this chapter (displayed in Figure 2.10) and climate response constrained to assessed ranges for key climate metrics described in Cross-Chapter Box 7.1. The temperature contributions are expressed as follows:\r\n - carbon dioxide (CO2)\r\n - methane (CH4)\r\n - nitrous oxide (N2O)\r\n - other well-mixed greenhouse gases (WMGHGs)\r\n - ozone (O3)\r\n - aerosols\r\n - other anthropogenic forcings\r\n - total anthropogenic \r\n - solar\r\n - volcanic\r\n - total forcing\r\n\r\nThe results shown are the medians from a 2237-member ensemble that encompasses uncertainty in forcing and climate response (year-2019 best estimates and uncertainties are shown in Figure 7.7 for several components). Shaded uncertainty bands show very likely (5–95%) ranges. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.8:\r\n \r\n - Data file: fig7.8.csv\r\n\r\nERF stands for Effective Radiative Forcing. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository, which is linked in the 'Related Documents' section. Within the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order.\r\n\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the Chapter 7 GitHub repository \r\n- Link to the notebook for plotting figure" }, { "ob_id": 37805, "uuid": "399a75d2538a471cb529d1f0fa01410e", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 7.18 (v20220721)", "abstract": "Input Data for Figure 7.18 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.18 shows a summary of the equilibrium climate sensitivity and transient climate response assessments using different lines of evidence. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with input data provided for both panels. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Equilibrium climate sensitivity (ECM) estimates. \r\n Assessment methods:\r\n - Process understanding\r\n - Instrumental record\r\n - Paleoclimates\r\n - Emergent constraints\r\n - Combined assessment\r\n - CMIP6 ESMs\r\n\r\n- (b) Transient climate response (TCR) estimates. \r\n Assessment methods:\r\n - Process understanding\r\n - Instrumental record\r\n - Paleoclimates\r\n - Emergent constraints\r\n - Combined assessment\r\n - CMIP6 ESMs\r\n\r\nAssessed ranges are taken from Tables 7.13 and 7.14 for ECS and TCR respectively. \r\nNote that for the ECS assessment based on both the instrumental record and paleoclimates, limits (i.e., one-sided distributions) are given, which have twice the probability of being outside the maximum/minimum value at a given end, compared to ranges (i.e., two-tailed distributions) which are given for the other lines of evidence. For example, the extremely likely limit of greater than 95% probability corresponds to one side of the very likely (5–95%) range. Best estimates are given as either a single number or by a range represented by a grey box. CMIP6 model values are not directly used as a line of evidence but presented on the Figure for comparison.\r\n \r\nECS values are taken from Schlund et al. (2020) and TCR values from Meehl et al. (2020); see Supplementary Material 7.SM.4. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.18:\r\n \r\n - Data file: ecs_for_faq.csv\r\n - Data file: tcr_for_faq.csv\r\n\r\nData is also provided in xlsx format, which is the format used by the plotting script linked in the Related Documents section.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nESM stands for Earth System Model. \r\nACCESS1-0 is the Australian Community Climate and Earth System Simulator coupled climate model version 1.0.\r\nACCESS1-3 is the Australian Community Climate and Earth System Simulator coupled climate model version 1.3.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nAWI-CM-1-1-MR is the Alfred Wegener Institute Climate Model version 1.1 - Medium Resolution, with locally-increased horizontal resolution over energetically active ocean areas.\r\nBCC-CSM1-1 is the Beijing Climate Center Climate System Model version 1.1.\r\nBCC-CSM1-1-M is the Beijing Climate Center Climate System Model version 1.1, with a moderate resolution.\r\nBCC-CSM2-MR is the Beijing Climate Center Climate System Model version 2 - moderate vertical resolution.\r\nBNU-ESM is the Beijing Normal University Earth System Model.\r\nBNU-ESM1 is the Beijing Normal University Earth System Model version 1.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nCanESM2 is the Canadian Earth System Model version 2.\r\nCCSM3 is the Community Climate System Model version 3.\r\nCAS-ESM2-0 is the Chinese Academy of Sciences Earth System Model version 2.0.\r\nCESM2 is the Community Earth System Model version 2.\r\nCESM2-FV2 is the Community Earth System Model version 2 - Finite Volume with a 2 degree resolution. \r\nCESM2-WACCM is the Community System Model version 2 - Whole Atmosphere Community Climate Model.\r\nCMCC-CM2-SR5 is the Euro-Mediterranean Centre on Climate Change Coupled Climate Model version 2 - standard configuration.\r\nCNRM-CM5 is the Centre National de Recherches Météorologiques Climate Model for CMIP5.\r\nCNRM-CM5-2 is the Centre National de Recherches Météorologiques Climate Model for CMIP5, version 2.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCSIRO-Mk3-6-0 is the Commonwealth Scientific and Industrial Research Organisation Atmosphere Ocean Global Climate Model (GCM).\r\nE3SM-1-0 is the Energy Exascale Earth System Model version 1.0.\r\nEC-Earth3-Veg is the European Community Earth-system model version 3, with the Global Circulation Model (GCM) coupled to the dynamic vegetation model.\r\nFGOALS-f3-L is the Flexible Global Ocean-Atmosphere-Land System Model, Finite-volume version 3, low horizontal resolution. \r\nFGOALS-g2 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2.\r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3.\r\nGFDL-CM3 is the Geophysical Fluid Dynamics Laboratory - Climate Model 3.\r\nGFDL-ESM2G is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 2, multi-centennial warming.\r\nGFDL-ESM2M is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 2, multi-centennial cooling. \r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nGISS-E2-H is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the \r\nHYCOM is the Hybrid Coordinate Ocean Model.\r\nGISS-E2-R is the Goddard Institute for Space Studies coupled general circulation model (CGCM) - ocean configuration coupled to the Russell OGCM.\r\nHadGEM2-ES is the Met Office Hadley Centre Global Environment Model version 2 - Earth System. \r\nHadGEM3-GC31-LL is the Met Office Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nHadGEM3-GC31-MM is the Met Office Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N216/ORCA025.\r\nHYCOM is the Hybrid Coordinate Ocean Model. \r\nINMCM4 is the Institute for Numerical Mathematics Climate Model version 4.0. \r\nINM-CM4-8 is the Institute for Numerical Mathematics Climate Model version 4.8.\r\nINM-CM5-0 is the Institute for Numerical Mathematics Climate Model version 5.0. \r\nIPSL-CM5A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Low Resolution, with re-parameterised cloud configuration.\r\nIPSL-CM5A-MR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Mixed Resolution, with a higher horizontal atmospheric resolution.\r\nIPSL-CM5B-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP5 - Low Resolution, with a LMDZ5B atmospheric component.\r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMCM-UA-1-0 is the Manabe Climate Model - University of Arizona - version 1.0. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC-ESM is the Model for Interdisciplinary Research on Climate - Earth System Model.\r\nMIROC5 is the Model for Interdisciplinary Research on Climate version 5.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate version 6.\r\nMPI-ESM-1-2-HAM is the Max Planck Institute Earth System Model - version 2 - Hamburg Aerosol Model.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMPI-ESM-LR is the Max Planck Institute Earth System Model - Low Resolution.\r\nMPI-ESM-MR is the Max Planck Institute Earth System Model - Mixed Resolution.\r\nMPI-ESM-P is the Max Planck Institute Earth System Model - with reconfiguration of orbit and vegetation. \r\nMRI-CGCM3 is the Meteorological Research Institute - Coupled General Circulation Model version 3. \r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNESM3 is the Nanjing University of Information Science and Technology Earth System Model version 3.\r\nNorCPM1 is the Norwegian Climate Prediction Model version 1.\r\nNorESM1-LM is the Norwegian Earth System Model version 1 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nRussell OGCM is the Russell Ocean General Circulation Model. \r\nSAM0-UNICON is the Seoul National University Atmosphere Model version 0 with a Unified Convection Scheme.\r\nTaiESM1 is the Taiwan Earth System Model version 1.\r\nUKESM1-0-LL is the UK Earth System Model - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. The input data provided is used in the notebook to output figure 7.18. To reproduce the figure from the input data, you will need to edit the path 'datadir' in box 6 of the notebook based on your local directory structure. The notebook runs with data in .xlsx format but the data is also provided in .csv format here.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo.\r\n - Link to notebook for plotting figure from the Chapter 7 GitHub repository" }, { "ob_id": 37812, "uuid": "a95ffffa5a734724b9cf307411208569", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.11 (v20220721)", "abstract": "Data for Figure 7.11 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.11 shows the temperature dependence of the feedback parameter, α (W m–2 °C–1), as a function of global mean surface air temperature anomaly relative to pre-industrial, for ESM simulations and paleoclimate proxies. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 1 panel, with data provided for the panel.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Feedback parameter α as a function of mean GSAT anomaly relative to pre-industrial for ESM simulations (red circles and lines)\r\n- Feedback parameter α as a function of mean GSAT anomaly relative to pre-industrial for paleoclimate proxies (grey squares and lines)\r\n\r\nReferences for ESM simulations: Caballero and Huber, 2013; Jonko et al., 2013; Meraner et al., 2013; Good et al., 2015; Duan et al., 2019; Mauritsen et al., 2019; Stolpe et al., 2019; Zhu et al., 2019a.\r\n\r\nReferences for paleoclimate proxies: von der Heydt et al., 2014; Anagnostou et al., 2016, 2020; Friedrich et al., 2016; Royer, 2016; Shaffer et al., 2016; Köhler et al., 2017; Snyder, 2019; Stap et al., 2019). \r\n\r\nFor the ESM simulations, the value on the x-axis refers to the average of the temperature before and after the system has equilibrated to a forcing (in most cases a CO2 doubling), and is expressed as an anomaly relative to an associated pre-industrial global mean temperature from that model. The light blue shaded square extends across the assessed range of α (Table 7.10) on the y-axis, and on the x-axis extends across the approximate temperature range over which the assessment of α is based (taken as from zero to the assessed central value of ECS; see Table 7.13). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.11:\r\n \r\n - Data file: Figure7_11.csv\r\n\r\nESM stands for Earth System Model.\r\nGSAT stands for Global Surface Air Temperature.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe data provided is the output data of the figure which can be used to reproduce the figure. Plotting scripts for reproducing this figure are linked in the Related Documents section of this catalogue record.\r\nThe original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n - Link to the code for Chapter 7, archived on Zenodo\r\n - Link to scripts used to reproduce figure from data\r\n - Link to the Chapter 7 GitHub repository" }, { "ob_id": 37806, "uuid": "b9303c07edb24582b45088795f347ca9", "short_code": "ob", "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.17 (v20220721)", "abstract": "Data for Figure 7.17 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.17 shows time evolution of the effective radiative forcing (ERF) to the CO2 concentration increased by 1% per year until year 70 (equal to the time of doubling) and kept fixed afterwards, and surface temperature response to the CO2 forcing calculated using the emulator.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nForster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Idealized radiative forcing. Time evolution of the effective radiative forcing (ERF) to the CO2 concentration increased by 1% per year until year 70 (equal to the time of doubling) and kept fixed afterwards (white line). The likely and very likely ranges of ERF indicated by light and dark orange have been assessed in Section 7.3.2.1. \r\n\r\n- (b) Emulated temperature response. Surface temperature response to the CO2 forcing calculated using the emulator with a given value of ECS, considering uncertainty in ΔF2×CO2, α, and κ associated with the ocean heat uptake and efficacy (white line). The likely and very likely ranges are indicated by cyan and blue, respectively. For comparison, the temperature response to abrupt doubling of the CO2 concentration is displayed by a grey curve. \r\n\r\nThe mean, likely and very likely ranges of ECS and TCR are shown at the right (the values of TCR also presented in panel b). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 7.SM.14).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.17:\r\n \r\n - Data file: 'Figure_17_values_panel_a.csv'\r\n - Data file: 'Figure_17_values_panel_b.csv'\r\n - Data file: 'Figure_17_values_panel_b_side.csv'\r\n\r\nERF stands for Effective Radiative Forcing.\r\nTCR stands for Transient Climate Response.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures for Chapter 7 are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository. \r\nThe data provided for this figure is the output plotted data as provided by the author.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 7)\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.\r\n- Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 7 GitHub repository" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145927, 145926, 145925, 145924, 145923, 145922, 145921, 145920, 145928, 168298, 145929 ], "onlineresource_set": [ 42842, 80256 ], "project_set": [ 32705 ] }, { "ob_id": 32723, "uuid": "ab437cee56cb405285aac2bb59cc36d6", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 8: Water cycle changes", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 8: Water cycle changes.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 8.13\r\n- data for Figure 8.14\r\n- data for Figure 8.15\r\n- input data for Figure 8.16\r\n- data for Figure 8.17\r\n- data for Figure 8.18\r\n- data for Figure 8.21\r\n- data for Figure 8.25\r\n- data for Figure 8.26\r\n- data for Box 8.2, Figure 1", "keywords": "IPCC, AR6, WG1, Chapter 8", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:07:08", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37767, "uuid": "92dc7ae089d84a43a28099ae49633383", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 8.16 (v20220718)", "abstract": "Input Data for Figure 8.16 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.16 shows rate of change in mean and variability across increasing global warming levels. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Input data is provided in one single file. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n A single json file provides in a structured way the data for each graph point. Details are provided under 'notes on reproducing the figure'.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Datafile : 'Fig8-16_data.json'\r\n\r\n The relation between provided data and figure elements is essentially described in field 'List of data' above, 'Notes on reproducing the figure' below, and in caption.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The figure can be reproduced using the software linked in the Related Documents section of this catalogue record\r\n \r\n For additional details about data description, please refer to 'Fig8-16_input_data.README.txt'\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the the script for generating figure on GitHub\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37779, "uuid": "b03a4577108545c2a05bbae2d9759f9d", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.21 (v20220718)", "abstract": "Data for Figure 8.21 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.21 is a schematic depicting understanding of large-scale circulation changes and effects of the regional water cycle.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The three maps subpanels in the middle of the figure have data provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Precipitation minus evaporation (P–E) changes at 3°C of global warming relative to an 1850–1900 base period (mean of 23 CMIP6 SSP5-8.5 simulations) for:\r\n . Annual mean changes\r\n . Seasonal mean changes (DJF, JJA)\r\n \r\n - Precipitation minus evaporation (P–E) climatology (annual mean, 1850-1900).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The map for the annual case (subdir ANN) has two data files :\r\n 1. One for the colored , P-E change, field :\r\n - Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_plus3K.nc\r\n \r\n 2. One for the P-E climatology (for red isoline 0) :\r\n - Fig8-21_ANN_P-E_mean_piControl_ANN_1850-1900_.nc. The solid and dashed contours are isolines 0 of that data, masked out over continents. The decision between solid and dashed line is a manual one, based on the latitude of the line. \r\n\r\nThe seasonal panels (subdirs DJF and JJA) have a single file for the colored, P-E change, field.\r\npanel_DJF: Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_plus3K.nc\r\npanel_JJA: Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_plus3K.nc\r\n\r\nCLARIFICATION: The following file names have been changed from the original, for the purposes of conforming to the file naming standards for the CEDA catalogue. \r\n- panel_ANN: Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_+3K.nc -> Fig8-21_ANN_P-E_mean-change_ssp585_ANN_1850-1900_plus3K.nc\r\n- panel_DJF: Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_+3K.nc -> Fig8-21_DJF_P-E_mean-change_ssp585_DJF_1850-1900_plus3K.nc\r\n- panel_JJA: Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_+3K.nc -> Fig8-21_JJA_P-E_mean-change_ssp585_JJA_1850-1900_plus3K.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37758, "uuid": "8d769bddaddc4e10bdd6f5428a3a0af5", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box 8.2, Figure 1 (v20220718)", "abstract": "Data for Box 8.2, figure 1 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nBox 8.2, figure 1 shows projected long-term changes in precipitation seasonality. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Global simulated 1995–2014 precipitation climatology\r\n - Global maps of projected changes in precipitation seasonality averaged across 31 to 33 CMIP6 models in the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios\r\n \r\n All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel, except for panel a which has only the first one :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' or 'mean' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37773, "uuid": "6ed1539e8fe84caea089a0d6a7ffcdbd", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.13 (v20220718)", "abstract": "Data for Figure 8.13 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.13 shows zonal and annual mean projected long-term changes in the atmospheric water budget.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There are 9 sub-panels, with data provided for all panels in one single directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains zonal and annual-mean projected long-term changes in the atmospheric water budget in:\r\n \r\n - Modelled global precipitation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)\r\n - Modelled global evaporation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There is one NetCDF file per sub-panel, named by the scenario and variable of the sub-panels: 3 variables (precipitation : 'pr', evaporation : 'evspsbl' and their difference : 'P-E') times 3 scenarios (ssp126, ssp245 and ssp585).\r\n\r\n Each sub-panel NetCDF file has 6 variables. The variable names have suffix:\r\n - mean for multi-model change mean (thick coloured line)\r\n - land_mean for multi-model change mean over land (thick black line),\r\n - pctl5 and pctl95 for multi-model 5 and 95 percentiles (coloured shaded area),\r\n - variab5 and variab95 for 5 and 95 percentiles of the internal variability (grey shaded area).\r\n\r\n As an example Fig8-13_pr_ssp126.nc (precipitation, scenario SSP1-2.6), relates to the upper panel (left).\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37776, "uuid": "caf598e54c674d219f2e245df32dbc1a", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.18 (v20220718)", "abstract": "Data for Figure 8.18 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.18 shows projected long-term relative changes in seasonal mean runoff.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global maps of projected relative change (%) in runoff seasonal mean for:\r\n \r\n - December–January–February (DJF; left panels)\r\n - June–July–August (JJA; right panels)\r\n\r\n The data are averaged across CMIP6 models for the SSP1.2-6, SSP2-4.5 and SSP5-8.5 scenarios. All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37785, "uuid": "ef3dd7efa4f442b2812c4ee905f794c2", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.26 (v20220718)", "abstract": "Data for Figure 8.26 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 8.26 shows the rate of change in basin-scale annual mean runoff with increasing global warming levels.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n There is one single NetCDF file for data for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains relative changes (%) in basin-averaged annual mean runoff estimated as multi-model ensemble median from a variable subset of CMIP6 models for each SSP over nine major river basins:\r\n \r\n - Mississippi (a),\r\n - Danube (b),\r\n - Lena (c),\r\n - Amazon (d),\r\n - Euphrates (e),\r\n - Yangtze (f),\r\n - Niger (f),\r\n - Indus (g),\r\n - Murray (h).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n The NetCDF file contains a multi-dimensionnal variable 'mrro_mean' which matches the various curves showing in the figure. These are parametric curves, and the parameter is a period index. The file also contains a variable 'tas' for the value of global warming for the period, for each scenario.\r\n \r\n Dimension 'period' is a period index, which is the parameter for the parametric curves linking variables 'mrro_mean' and 'tas'. Period value 1 stands for 1901-1920, 2 for 1911-1920 ...,\r\n \r\n Dimension ssp is the SSP index, for that order : ssp585 , ssp245 , ssp126.\r\n \r\n Variable 'tas' is the change of globally averaged surface temperature w.r.t. 1850-1900 average, indexed by period.\r\n \r\n Variable mrro_mean provide statistics of relative changes (%) of runoff in basin-averaged annual mean runoff. The basin averages have been estimated after a first-order conservative remapping of the model outputs on the 0.5° by 0.5° river network of (Decharme et al., 2019). It is indexed by :\r\n - dimension 'stats' for statistics over a CMIP6 multi-model ensemble, in that order : percentile 5, mean, and percentile 95,\r\n - dimension 'basin' for this ordered list : Mississippi, Danube, Lena, Amazon, Euphrates, Yangtze, Niger, Indus, Murray\r\n \r\n Variable mrro_std is not used in the figure.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP stands for Shared Socioeconomic Pathway.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Curves are parametric curves. The parameter is the period index.\r\n\r\n So each curve for a given statistics 'stat', scenario 'ssp' and basin 'basin' is defined by varying period_index in:\r\n \r\n x=tas(ssp,period_index),\r\n \r\n y=mrro_mean(ssp, basin, stat, period_index)\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37782, "uuid": "47961b1927b8492990ed92f10a514b6b", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.25 (v20220718)", "abstract": "Data for Figure 8.25 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.25 shows the effect of first versus second 2°C of global warming relative to 1850-1900 on seasonal mean precipitation.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains CMIP6 multi-model ensemble mean December–January–February (left panels) and June–July–August (right panels) precipitation difference for:\r\n \r\n - SSP5-8.5 scenario at +2°C\r\n - SSP5-8.5 scenario at +4°C minus SSP5-8.5 at +2°C (second 2°C warming)\r\n - Second minus first 2°C fast warming.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreement' or 'slashes' in the filename\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37770, "uuid": "7da00222bbb345c99ce14e358cde9f6d", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.17 (v20220718)", "abstract": "Data for Figure 8.17 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.17 shows projected long-term relative changes in seasonal mean evapotranspiration.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global data of projected relative changes (%) in seasonal mean of surface evapotranspiration for\r\n - December–January–February (DJF; left panels)\r\n - June–July–August (JJA; right panels)\r\n \r\n The data are averaged across 29 or 30 CMIP6 models for SSP1.2-6, SSP2-4.5, and SSP5-8.5 scenarios. All changes are estimated in 2081–2100 relative to 1995–2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - one for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - the other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreemeent' or 'slashes' in the filename\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37761, "uuid": "bbf5ae3b78c44bf28ccb17b487d58a94", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.14 (v20220718)", "abstract": "Data for Figure 8.14 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.14 shows projected long-term relative changes in seasonal mean precipitation. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global maps of projected relative changes (%) in seasonal mean of precipitation averaged across 29 CMIP6 models in the SSP2-4.5 scenario (2081–2100 relative to the 1995–2014).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel: one for the main field (*pr_means*.nc), which is represented with colors, the other for the confidence information (*pr_agreement-fraction-on-sign*.nc), based on agreement fraction of models about signal change sign, which is represented by diagonal lines as specified by the so called AR6 simple hatching scheme.\r\n \r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." }, { "ob_id": 37764, "uuid": "2d67a9f7631247d7bb6130ddc033ba7a", "short_code": "ob", "title": "Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.15 (v20220718)", "abstract": "Data for Figure 8.15 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 8.15 shows projected long-term relative changes in daily precipitation statistics.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1055–1210, doi:10.1017/9781009157896.010.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has multiple panels. Data is provided in panel-specific sub-directories.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global data of projected seasonal mean relative changes (%) averaged across CMIP6 models in the SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, in:\r\n \r\n - Number of dry days (e.g. days with less than 1 mm of rain)\r\n - Daily precipitation intensity (in mm/ day–1, estimated as the mean daily precipitation amount on wet days – e.g. days with intensity above 1 mm/ day–1)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are two NetCDF files per panel :\r\n - One for the main field, which is represented with colors and has 'rchange' or 'rmeans' in the filename\r\n - The other for the confidence information, based on fraction of models which agree about signal change sign, which is represented in figures by diagonal lines as specified by the so called AR6 simple hatching scheme; it has 'agreement' or 'slashes' in the filename\r\n Each datafile has NetCDF attributes which clearly describe the data.\r\n\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 8)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1\r\n - Link to the code for all figures in Chapter 8, archived on Zenodo.\r\n - Link to the documentation for CAMMAC, the tool used for AR6 analysis." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145938, 145937, 145936, 145935, 145934, 145933, 145932, 145931, 145939, 168300, 145940, 145941 ], "onlineresource_set": [ 42843, 80257 ], "project_set": [ 32705 ] }, { "ob_id": 32725, "uuid": "d75f0692e2594df8af882c04db5ba3fe", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 9: Ocean, cryosphere, and sea level change", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 9: Ocean, cryosphere, and sea level change.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 9.3\r\n- data for Figure 9.4\r\n- data for Figure 9.5\r\n- data for Figure 9.6\r\n- data for Figure 9.7\r\n- data for Figure 9.9\r\n- data for Figure 9.10\r\n- data for Figure 9.11\r\n- data for Figure 9.12\r\n- data for Figure 9.13\r\n- data for Figure 9.14\r\n- data for Figure 9.15\r\n- data for Figure 9.22\r\n- data for Figure 9.24\r\n- data for Figure 9.26\r\n- data for Figure 9.28\r\n- data for Figure 9.29\r\n- data for Figure 9.30\r\n- data for Figure 9.32\r\n- data for Cross-Chapter Box 9.1, Figure 1\r\n- input data for Cross-Chapter Box 9.1, Figure 1", "keywords": "IPCC, AR6, WG1, Chapter 9", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:12:56", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37727, "uuid": "b37501409dd641219dd7c57174acdc35", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.12 (v20220721)", "abstract": "Data for Figure 9.12 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.12 shows CMIP6 multi-model mean projected change contributions to relative sea level change in steric sea level anomaly, thermosteric sea level anomaly, and halosteric sea level anomaly between 1995–2014 and 2081–2100.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 9 subpanels, with data provided for all panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a, d) CMIP6 multi-model mean projected change contributions to relative sea level change in steric sea level anomaly between 1995-2014 and 2081-2100..\r\n- (b, e) CMIP6 multi-model mean projected change contributions to relative sea level change in thermosteric sea level anomaly between 1995-2014 and 2081-2100.\r\n- (c, f) CMIP6 multi-model mean projected change contributions to relative sea level change in halosteric sea level anomaly between 1995-2014 and 2081-2100.\r\n- (g–i) Standard deviation of ocean dynamic sea level change from (g) Aviso observations (10-day high-pass filter); (h) five-day mean of high-resolution Ocean Model Intercomparison Project phase 2 (OMIP-2) models forced with observed fluxes; and (i) five-day mean of low-resolution OMIP-2 models which are comparable in resolution to the models in (a–f).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.12\r\n \r\n - Data file: Fig9-12a_data.nc\r\n - Data file: Fig9-12b_data.nc\r\n - Data file: Fig9-12c_data.nc\r\n - Data file: Fig9-12d_data.nc\r\n - Data file: Fig9-12e_data.nc\r\n - Data file: Fig9-12f_data.nc\r\n - Data file: Fig9-12g_data.nc\r\n - Data file: Fig9-12h_data.nc\r\n - Data file: Fig9-12i_data.nc\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nOMIP-2 is the Ocean Model Intercomparison Project phase 2.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository along with code to plot the figure." }, { "ob_id": 40089, "uuid": "c622adfeb4cc4ae181dc4cca82c2311c", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Chapter Box 9.1, Figure 1 (v20230523)", "abstract": "Data for Cross-Chapter Box 9.1, Figure 1 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCross-Chapter Box 9.1, Figure 1 shows observed and simulated regional probability ratio of marine heatwaves (MHWs) for the 1985-2014 period and for the end of the 21st century under two different greenhouse gas emissions scenarios. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Fox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in the main directory. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Main assessment timeseries for GMSL change, OHC and ThSL. Timeseries are global integrals over the following vertical layers: 0-300 m; 0-700 m; 0-2000 m; 700-2000 m; > 2000 m; Full-depth.\r\n\r\n\r\nThis dataset are also used in the following figures:\r\na) AR6 FGD assessment timeseries GMSL satellite altimeter: Figure 2.28; \r\nb) AR6 FGD assessment timeseries GMSL tide gauge: Figure 2.28;\r\nc) AR6 FGD assessment timeseries OHC: Figure 3.26, Box 7.2, Figure 1; \r\n\r\nOther figures/tables: Figure 2.26, Table 2.7; Figure 3.26; Box 7.2 Figure 1, Table 9.5; Figure TS.8; Figure TS.13.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a: \r\n Data file: “AR6_FGD_assessment_timeseries_OHC.csv” => column 2 is used to plot the light blue shaded region, column 4 is used to plot the medium blue shaded region, column 6 is used to plot the dark blue shaded region in CCBox9.1 Figure 1 panel a). \r\n\r\n\r\nPanel b: \r\n Data file: “AR6_FGD_assessment_timseries_GMSL_satellite_altimeter.csv” => column 2 is used to plot the dashed black line in CCBox9.1 Figure 1 panel b)\r\n Data file: “AR6_FGD_assesssment_timeseries_GMSL_tide_gauge.csv” => column 2 is used to to plot the dashed black line in CCBox9.1 Figure 1 panel b)\r\n Data file: “AR6_FGD_assessment_timeseries_ThSL.csv” => column 2 is used to plot the light blue shaded region, column 4 is used to plot the medium blue shaded region, column 6 is used to plot the dark blue shaded region in CCBox9.1 Figure 1 panel b).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the code for the figure, archived on github repository for chapter 9.\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to Chapter 2 Figure 2.26 \r\n - Link to Chapter 2 Figure 2.28\r\n - Link to Chapter 3 Figure 3.26\r\n - Link to Chapter 7 Box 7.2, Figure 1\r\n - Link to Technical Summary Figure TS.13\r\n - Link to input data for Cross-Chapter Box 9.1, Figure 1" }, { "ob_id": 37717, "uuid": "b35923b0641944178d0c9e17ce7dc9cb", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.9 (v20220721)", "abstract": "Data for Figure 9.9 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.9 shows long-term trends of ocean heat content (OHC) and surface temperature. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 4 panels with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Ice-core rare gas estimates of past mean OHC (units = ZJ), scaled to global mean ocean temperature (°C), and to steric global mean sea level (GMSL) (m) per CCB-2 (red dashed line), compared to surface temperatures (black solid line, gold solid line; °C rightmost axis). \r\n- Southern Ocean sea surface temperature (SST) from multiple proxies in 11 sediment cores and from ice core deuterium excess (Uemura et al., 2018). \r\n(a) Penultimate glacial interval to last interglacial, 150,000–100,000 yr B2K (before 2000) (Shackleton et al., 2020). First panel.\r\n(b) Last glacial interval to modern interglacial, 40,000–0 yr B2K (Baggenstos et al., 2019; Shackleton et al., 2019). Second panel.\r\n(c) Long-term projected (2000 to 12000 CE) changes of OHC (dashed lines) in response to four greenhouse gas emissions scenarios (Clark et al., 2016) scale similarly to large-scale paleo changes but lag projected global mean SST (solid lines). Third panel.\r\n(d) Model simulated 1500–1999 OHC (Gregory et al., 2006) and 1955–2019 observations (Levitus et al., 2012) updated by NOAA NODC. Fourth panel.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.9\r\n \r\n - Data file: Fig9-9_data_Baggenstoslikely_Deglacial.nc\r\n - Data file: Fig9-9_data_Baggenstosmean_Deglacial.nc\r\n - Data file: Fig9-9_data_GlobalMeanSST_Deglacial.nc\r\n - Data file: Fig9-9_data_GlobalMeanSST_LIG.nc\r\n - Data file: Fig9-9_data_HadCM3_Modern.nc\r\n - Data file: Fig9-9_data_Levitus_Modern.nc\r\n - Data file: Fig9-9_data_SST_to_OHC_Conversion_Factor.nc\r\n - Data file: Fig9-9_data_Shackletonlikely_Deglacial.nc\r\n - Data file: Fig9-9_data_Shackletonlikely_LIG.nc\r\n - Data file: Fig9-9_data_Shackletonmean_Deglacial.nc\r\n - Data file: Fig9-9_data_Shackletonmean_LIG.nc\r\n - Data file: Fig9-9_data_SouthernOceanSST_Deglacial.nc\r\n - Data file: Fig9-9_data_SouthernOceanSST_LIG.nc\r\n - Data file: Fig9-9_data_Uemera_Modern.nc\r\n - Data file: Fig9-9_data_ohc_1280Gt.nc\r\n - Data file: Fig9-9_data_ohc_2560Gt.nc\r\n - Data file: Fig9-9_data_ohc_3840Gt.nc\r\n - Data file: Fig9-9_data_ohc_5120Gt.nc\r\n\r\nChanges in OHC (dashed lines) track changes in Southern Ocean SST (solid lines). \r\nAll data expressed as anomalies relative to pre-industrial time. Further details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\nOHC stands for Ocean Heat Content.\r\nGMSL stands for Global Mean Sea Level.\r\nNOAA NODC is the National Oceanic and Atmospheric Administration's National Oceanographic Data Center.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from -150kyr (150 thousand years ago) to 14000 CE (long-term future projection).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nOHC and SST time series were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37731, "uuid": "9374ee722fab464fb3ee8ea659b56546", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.30 (v20220712)", "abstract": "Data for Figure 9.30 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.30 shows global mean sea level (GMSL) commitment as a function of peak global surface air temperature. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 10 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Global mean sea level (GMSL) commitment as a function of peak global surface air temperature from models (Clark et al., 2016; DeConto and Pollard, 2016; Garbe et al., 2020; Van Breedam et al., 2020) and paleo data on 2000-year (lower row) and 10,000 year (upper row) time scales. \r\n- Different contributors to GMSL rise (from left to right panels: total GMSL change, Antarctic Ice Sheet, Greenland Ice Sheet, global mean thermosteric sea level rise, and glaciers). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.30\r\n \r\n - Data file: Fig9-30_data_Clark2016_UVic28_AIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GIC_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GIC_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic28_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_AIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GIC_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GIC_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Clark2016_UVic29_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_DeConto2016_AIS_2000y.nc\r\n - Data file: Fig9-30_data_Garbe2020_AIS.nc\r\n - Data file: Fig9-30_data_Gregory2020_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_Gregory2020_GrIS_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_AIS_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_AIS_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GIC_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GIC_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMSL_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMSL_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMTE_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GMTE_2000y.nc\r\n - Data file: Fig9-30_data_VB2020_GrIS_10000y.nc\r\n - Data file: Fig9-30_data_VB2020_GrIS_2000y.nc\r\n\r\nGMSL stands for Global Mean Sea Level.\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 10,000 years ago to present.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSLR commitments were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the output data and plotting code for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37733, "uuid": "7f9c951b59ae44aeb6d745ed702c56dd", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.28 (v20220721)", "abstract": "Data for Figure 9.28 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.28 shows regional sea level change at 2100 for different scenarios (with respect to 1995–2014). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for panels a-f. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Median regional relative sea level change from 1995–2014 up to 2100 for: (a) SSP1-1.9; (b) SSP1-2.6; (c) SSP2-4.5; (d) SSP3-7.0; (e) SSP5-8.5; and (f) width of the likely range for SSP3-7.0. \r\n\r\nThe high uncertainty in projections around Alaska and the Aleutian Islands arises from the tectonic contribution to vertical land motion, which varies greatly over short distances in this region. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.28\r\n \r\n - Data file: Fig9-28a_data.nc\r\n - Data file: Fig9-28b_data.nc\r\n - Data file: Fig9-28c_data.nc\r\n - Data file: Fig9-28d_data.nc\r\n - Data file: Fig9-28e_data.nc\r\n - Data file: Fig9-28f_data.nc\r\n\r\nSSP119 is the Shared Socioeconomic Pathway which represents the lowest scenario of radiative forcing and development scenarios, consistent with RCP1.9.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nRSL scenarios were plotted using standard matplotlib software - code is available via the link in the documentation. Input data for each SSP scenario (.nc files in data/pb_1e) also provided.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the code and output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37736, "uuid": "80475295b32f4df6879ad7d2a23a88c1", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.22 (v20220721)", "abstract": "Data for Figure 9.22 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.22 shows simulated versus observed permafrost extent and volume change by warming level. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels in one central directory.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Diagnosed Northern Hemisphere permafrost extent (area with perennially frozen ground at 15 m depth, or at the deepest model soil level if this is above 15 m) for 1979–1998, for available CMIP5 and CMIP6 models, from the first ensemble member of the historical coupled run, and for CMIP6 AMIP (atmosphere+land surface, prescribed ocean) and land-hist (land only, prescribed atmospheric forcing) runs. \r\n\r\n- (b) Simulated global permafrost volume change between the surface and 3 m depth as a function of the simulated global surface air temperature (GSAT) change, from the first ensemble members of a selection of scenarios, for available CMIP6 models. \r\n\r\nEstimates of current permafrost extents based on physical evidence and reanalyses are indicated as black symbols – triangle: Obu et al. (2018); star: Zhang et al. (1999); circle: central value and associated range from Gruber (2012). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.22\r\n \r\n- Data file: pf15m_CMIP5historical_NH_1979-1998.txt\r\n- Data file: pf15m_amip_NH_1979-1998.txt\r\n- Data file: pf15m_historical_NH_1979-1998.txt\r\n- Data file: pf15m_land-hist_NH_1979-1998.txt\r\n- Data file: pfv_ACCESS-CM2_historical_ssp126.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp245.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp370.nc\r\n- Data file: pfv_ACCESS-CM2_historical_ssp585.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp126.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp245.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp370.nc\r\n- Data file: pfv_ACCESS-ESM1-5_historical_ssp585.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp126.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp245.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp370.nc\r\n- Data file: pfv_BCC-CSM2-MR_historical_ssp585.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp126.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp245.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp370.nc\r\n- Data file: pfv_CAMS-CSM1-0_historical_ssp585.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp126.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp245.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp370.nc\r\n- Data file: pfv_CESM2-WACCM_historical_ssp585.nc\r\n- Data file: pfv_CESM2_historical_ssp126.nc\r\n- Data file: pfv_CESM2_historical_ssp245.nc\r\n- Data file: pfv_CESM2_historical_ssp370.nc\r\n- Data file: pfv_CESM2_historical_ssp585.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp126.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp245.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp370.nc\r\n- Data file: pfv_CNRM-CM6-1-HR_historical_ssp585.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp126.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp245.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp370.nc\r\n- Data file: pfv_CNRM-CM6-1_historical_ssp585.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp126.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp245.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp370.nc\r\n- Data file: pfv_CNRM-ESM2-1_historical_ssp585.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp126.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp245.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp370.nc\r\n- Data file: pfv_CanESM5-CanOE_historical_ssp585.nc\r\n- Data file: pfv_CanESM5_historical_ssp126.nc\r\n- Data file: pfv_CanESM5_historical_ssp245.nc\r\n- Data file: pfv_CanESM5_historical_ssp370.nc\r\n- Data file: pfv_CanESM5_historical_ssp585.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp126.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp245.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp370.nc\r\n- Data file: pfv_EC-Earth3_historical_ssp585.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp126.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp245.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp370.nc\r\n- Data file: pfv_FGOALS-g3_historical_ssp585.nc\r\n- Data file: pfv_GFDL-CM4_historical_ssp245.nc\r\n- Data file: pfv_GFDL-CM4_historical_ssp585.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp126.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp245.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp370.nc\r\n- Data file: pfv_GFDL-ESM4_historical_ssp585.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp126.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp245.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp370.nc\r\n- Data file: pfv_GISS-E2-1-G_historical_ssp585.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp126.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp245.nc\r\n- Data file: pfv_HadGEM3-GC31-LL_historical_ssp585.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp126.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp245.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp370.nc\r\n- Data file: pfv_IPSL-CM6A-LR_historical_ssp585.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp126.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp245.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp370.nc\r\n- Data file: pfv_KACE-1-0-G_historical_ssp585.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp126.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp245.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp370.nc\r\n- Data file: pfv_MIROC-ES2L_historical_ssp585.nc\r\n- Data file: pfv_MIROC6_historical_ssp126.nc\r\n- Data file: pfv_MIROC6_historical_ssp245.nc\r\n- Data file: pfv_MIROC6_historical_ssp370.nc\r\n- Data file: pfv_MIROC6_historical_ssp585.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp126.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp245.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp370.nc\r\n- Data file: pfv_MPI-ESM1-2-HR_historical_ssp585.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp126.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp245.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp370.nc\r\n- Data file: pfv_MPI-ESM1-2-LR_historical_ssp585.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp126.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp245.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp370.nc\r\n- Data file: pfv_MRI-ESM2-0_historical_ssp585.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp126.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp245.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp370.nc\r\n- Data file: pfv_NorESM2-LM_historical_ssp585.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp126.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp245.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp370.nc\r\n- Data file: pfv_NorESM2-MM_historical_ssp585.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp126.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp245.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp370.nc\r\n- Data file: pfv_UKESM1-0-LL_historical_ssp585.nc\r\n\r\nIn the GitHub repository the filenames differ from that listed above, the final underscore is replaced with a '+'.\r\nFor example, ' pfv_ACCESS-CM2_historical_ssp126.nc' in the repository is called ' pfv_ACCESS-CM2_historical+ssp126.nc'\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nAMIP is the Atmospheric Modelling Intercomparison Project.\r\nGSAT stands for Global Surface Air Temperature.\r\nACCESS-CM2 is the Australian Community Climate and Earth System Simulator coupled climate model.\r\nACCESS-ESM1-5 is the Australian Community Climate and Earth System Simulator Earth system model version designed to participate in CMIP6 simulations.\r\nBCC-CSM2-MR is one of the Beijing Climate Center Climate System Models designed for use in CMIP6 simulations.\r\nCAMS-CSM1-0 is the Chinese Academy of Meteorological Sciences Climate System Model version 1.\r\nCESM is the Community Earth System Model. \r\nCESM2-WACCM is the Community System Model - Whole Atmosphere Community Climate Model.\r\nCNRM-CM6-1 is the Centre National de Recherches Météorologiques Climate Model for CMIP6.\r\nCNRM-CM6-1-HR is the Centre National de Recherches Météorologiques Climate Model for CMIP6 - altered Horizontal Resolution.\r\nCNRM-ESM2-1 is the Centre National de Recherches Météorologiques Earth System Model, derived from CNRM-CM6-1.\r\nCanESM5 is the Canadian Earth System Model version 5.\r\nCanESM5-CanOE is the Canadian Earth System Model version 5 - Canadian Ocean Ecosystem.\r\nEC-Earth3 is the European Community Earth-system model version 3.\r\nFGOALS-g3 is the Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 3\r\nGFDL-ESM4 is the Geophysical Fluid Dynamics Laboratory - Earth System Model version 4.\r\nGISS-E2-1-G is the Goddard Institute for Space Studies - chemistry-climate model version E2.1, using the GISS Ocean v1 (G01) model.\r\nHadGEM3-GC31-LL is the Met Offfice Hadley Centre Global Environment Model - Global Coupled configuration 3.1 - using an atmosphere/ocean resolution for historical simulation N96/ORCA1.\r\nIPSL-CM6A-LR is the Institut Pierre-Simon Laplace Climate Model for CMIP6 - Low Resolution.\r\nKACE-1-0-G is the Korean Advanced Community Earth system model. \r\nMIROC-ES2L is the Model for Interdisciplinary Research on Climate - Earth System version 2 for Long-term simulations.\r\nMIROC6 is the Model for Interdisciplinary Research on Climate - version 6.\r\nMPI-ESM1-2-HR is the Max Planck Institute Earth System Model - version 2 - altered Horizontal Resolution.\r\nMPI-ESM1-2-LR is the Max Planck Institute Earth System Model - version 2 - Low Resolution.\r\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model version 2.0.\r\nNorESM2-LM is the Norwegian Earth System Model version 2 - 2 degree resolution for atmosphere and land components, 1 degree resolution for ocean and sea-ice components.\r\nNorESM2-MM is the Norwegian Earth System Model version 2 - 1 degree resolution for all model components.\r\nUKESM1-0-LL is the United Kingdom Earth System Modelling project - version 1 - 2 degree resolution for all model components.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThe panels were plotted using Python and shell scripts (BASH files) - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the code and output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37720, "uuid": "439ccb0b0eb04c17b5c6897fb9cb550b", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.6 (v20220721)", "abstract": "Data for Figure 9.6 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.6 shows ocean heat content (OHC) and its changes with time. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 8 panels labelled (a)-(g), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Time series of global OHC anomaly relative to a 2005–2014 climatology in the upper 2000 m of the ocean, combining observations (Ishii et al., 2017; Baggenstos et al., 2019; Shackleton et al., 2020), model-observation hybrids (Cheng et al., 2019; Zanna et al., 2019), and multi-model means from CMIP6, historical (29 models) and SSP scenarios. \r\n\r\n- Maps of OHC from CMIP6 ensemble bias and observed (Ishii et al., 2017) trends of OHC for 0–700 m for the period 1971–2014 (b, c)\r\n\r\n- Maps of OHC from CMIP6 ensemble bias and observed (Ishii et al., 2017) trends of OHC for 0–2000 m for the period 2005–2017 (e, f). \r\n\r\n- Projected rate of change 2015–2100 for (d) SSP5-8.5 and (g) SSP1-2.6 scenarios from CMIP6 ensemble means. \r\n\r\n- Projected change in 0–700 m OHC for (d) SSP1-2.6 and (g) SSP5-8.5 in the CMIP6 ensembles, for the period 2091–2100 versus 2005–2014.\r\n\r\nLabel subscripts in (a) indicate number of models per SSP. \r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.6\r\n \r\n - Data file: Fig9-6a_data_CMIPlikelybounds.nc:\r\n - Data file: Fig9-6a_data_CMIPmean.nc:\r\n - Data file: Fig9-6a_data_HybridChengmean.nc:\r\n - Data file: Fig9-6a_data_HybridZannamean.nc:\r\n - Data file: Fig9-6a_data_Observedlikelybounds.nc:\r\n - Data file: Fig9-6a_data_Observedmean.nc:\r\n - Data file: Fig9-6a_data_paleo.nc:\r\n - Data file: Fig9-6a_data_ssp126likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp126mean.nc:\r\n - Data file: Fig9-6a_data_ssp126verylikelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp245likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp245mean.nc:\r\n - Data file: Fig9-6a_data_ssp245verylikelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp370likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp370mean.nc: \r\n - Data file: Fig9-6a_data_ssp370verylikelybounds.nc: \r\n - Data file: Fig9-6a_data_ssp585likelybounds.nc:\r\n - Data file: Fig9-6a_data_ssp585mean.nc:\r\n - Data file: Fig9-6a_data_ssp585verylikelybounds.nc:\r\n - Data file: Fig9-6b_data.nc:\r\n - Data file: Fig9-6c_data.nc:\r\n - Data file: Fig9-6d_data.nc:\r\n - Data file: Fig9-6e_data.nc:\r\n - Data file: Fig9-6f_data.nc:\r\n - Data file: Fig9-6g_data.nc:\r\n\r\nOHC stands for Ocean Heat Content.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n OHC maps and OHC timeseries were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code given here: https://github.com/BrodiePearson/IPCC_AR6_Chapter9_Figures/blob/main/Plotting_code_and_data/Fig9_03_SST/Plot_Figure/Example_plotting_from_metadata.m\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37726, "uuid": "6f6697fff85e42fdb87156ad34e4a24e", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.13 (v20220721)", "abstract": "Data for Figure 9.13 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.13 shows Arctic sea ice historical records and CMIP6 projections. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n- (Left panel) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. \r\n- (Right panel) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. \r\n\r\nFirst column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010-2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.13\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nDatafile 'mapplot_data.npz' included in the 'Plotted Data' folder of the dedicated GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universtität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data and scripts for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37714, "uuid": "ef7b615816cb432088d02c97836ca9fa", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.3 (v20220721)", "abstract": "Data for Figure 9.3 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 9.3 shows sea surface temperature (SST) and its changes with time. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 12 panels labelled (a)-(j). Data is provided provided for panels using this lettering system.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Time series of global mean SST anomaly relative to 1950–1980 climatology. Shown are paleoclimate reconstructions and PMIP models, observational reanalyses (HadISST) and multi-model means from the Coupled Model Intercomparison Project (CMIP) historical simulations, CMIP projections, and HighResMIP experiment. \r\n\r\n- Map of observed SST (1995–2014 climatology HadISST). \r\n\r\n- Historical SST changes from observations. \r\n\r\n- CMIP 2005–2100 SST change rate. (e) Bias of CMIP. (f) CMIP change rate. \r\n\r\n- 2005–2050 change rate for SSP5-8.5 for the CMIP ensemble. \r\n\r\n- Bias of HighResMIP (bottom left) over 1995–2014. \r\n\r\n- HighResMIP change rate for 1950–2014. \r\n\r\n- 2005–2050 change rate for SSP5-8.5 for the HighResMIP ensemble. No overlay indicates regions with high model agreement, where ≥80% of models agree on sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on sign of change (see Cross-Chapter Box Atlas.1 for more information). Further details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.3\r\n \r\n - Data file: Fig9-3a_data_CMIPlikelybounds.nc: \r\n - Data file: Fig9-3a_data_CMIPmean.nc: \r\n - Data file: Fig9-3a_data_HighResMIPlikelybounds.nc: \r\n - Data file: Fig9-3a_data_HighResMIPmean.nc: \r\n - Data file: Fig9-3a_data_Observedmean.nc: \r\n - Data file: Fig9-3a_data_paleo.nc: \r\n - Data file: Fig9-3a_data_ssp126likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp126likelybounds_extended.nc: \r\n - Data file: Fig9-3a_data_ssp126mean.nc: \r\n - Data file: Fig9-3a_data_ssp126mean_extended.nc: \r\n - Data file: Fig9-3a_data_ssp126verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp245likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp245mean.nc: \r\n - Data file: Fig9-3a_data_ssp245verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp370likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp370mean.nc: \r\n - Data file: Fig9-3a_data_ssp370verylikelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp585likelybounds.nc: \r\n - Data file: Fig9-3a_data_ssp585likelybounds_extended.nc: \r\n - Data file: Fig9-3a_data_ssp585mean.nc: \r\n - Data file: Fig9-3a_data_ssp585mean_extended.nc: \r\n - Data file: Fig9-3a_data_ssp585verylikelybounds.nc: \r\n - Data file: Fig9-3b_data.nc: \r\n - Data file: Fig9-3c_data.nc: \r\n - Data file: Fig9-3d_data.nc: \r\n - Data file: Fig9-3e_data.nc: \r\n - Data file: Fig9-3f_data.nc: \r\n - Data file: Fig9-3g_data.nc: \r\n - Data file: Fig9-3h_data.nc: \r\n - Data file: Fig9-3i_data.nc: \r\n - Data file: Fig9-3j_data.nc: \r\n\r\nPMIP is the Paleoclimate Modelling Intercomparison Project. \r\nHadISST stands for Hadley Centre Sea Ice and Sea Surface Temperature.\r\nCMIP is the Coupled Model Intercomparison Project.\r\nHighResMIP is the High Resolution Model Intercomparison Project.\r\nSST stands for Sea Surface Temperature.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP stands for Representative Concentration Pathway.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n GMSST and SST maps were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code linked in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to example code on GitHub\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37721, "uuid": "8d9719be04d148d88d5ed8edd0426cf2", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.5 (v20220721)", "abstract": "Data for Figure 9.5 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.5 shows mixed-layer depth in winter and summer. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 8 panels labelled (a)-(h), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Mixed-layer depth in (a–d) winter and (e–h) summer (a, e).\r\n- Observed climatological mean mixed-layer depth (based on density threshold) from the Argo Mixed Layer Depth Climatology (Holte et al., 2017) using observations for 2000–2019 (b, f).\r\n- Bias between the observation-based estimate (2000–2019) and the 1995–2014 CMIP6 climatological mean mixed-layer depth (c, d, g, h) .\r\n- Projected mixed-layer depth (MLD) change from 1995–2014 to 2081–2100 under (c, g) SSP1-2.6 and (d, h) SSP5-8.5 scenarios. \r\n\r\nThe (a–d) winter row shows December–January–February (DJF) in the Northern Hemisphere and June–July–August (JJA) in the Southern Hemisphere; the (e–h) summer row shows JJA in the Northern Hemisphere and DJF in the Southern Hemisphere. The mixed-layer depth is the depth where the potential density is 0.03 kg m–3 denser than at 10 m. \r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.5\r\n \r\n- Data file: Fig9-5a_data.nc: \r\n- Data file: Fig9-5b_data.nc: \r\n- Data file: Fig9-5c_data.nc: \r\n- Data file: Fig9-5d_data.nc: \r\n- Data file: Fig9-5e_data.nc: \r\n- Data file: Fig9-5f_data.nc: \r\n- Data file: Fig9-5g_data.nc: \r\n- Data file: Fig9-5h_data.nc: \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMixed layer depth maps were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37719, "uuid": "e2d7ec1924b04bebbb4044982e2be0ff", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.7 (v20220721)", "abstract": "Data for Figure 9.7 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.7 shows meridional-depth profiles of zonal-mean potential temperature in the ocean and its rate of change in the upper 2000 m of the Global, Pacific, Atlantic and Indian oceans. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 8 panels labelled (a)-(h), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains: \r\n\r\n- Observed temperatures from Argo climatology 2005–2014 (a, e, i, m)\r\n- Bias of CMIP6 ensemble over same period 2005-2014 (b, f, j, n)\r\n- Future changes under SSP1-2.6 (c, g, k, o) and SSP5-8.5 (d, h, l, p), 1995-2100. \r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.7\r\n \r\n - Data file: Fig9-7a_data.nc:\r\n - Data file: Fig9-7b_data.nc:\r\n - Data file: Fig9-7c_data.nc:\r\n - Data file: Fig9-7d_data.nc:\r\n - Data file: Fig9-7e_data.nc:\r\n - Data file: Fig9-7f_data.nc:\r\n - Data file: Fig9-7g_data.nc:\r\n - Data file: Fig9-7h_data.nc:\r\n - Data file: Fig9-7i_data.nc:\r\n - Data file: Fig9-7j_data.nc:\r\n - Data file: Fig9-7k_data.nc: \r\n - Data file: Fig9-7l_data.nc:\r\n - Data file: Fig9-7m_data.nc:\r\n- Data file: Fig9-7n_data.nc:\r\n- Data file: Fig9-7o_data.nc:\r\n- Data file: Fig9-7p_data.nc:\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Zonal transects were calculated and plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 45114, "uuid": "f5f541ce05c44062a39d9a0e9e9463bc", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.13 (v20251121)", "abstract": "Data for Figure 9.13 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.13 shows Arctic sea ice historical records and CMIP6 projections. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n- (Left panel) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. \r\n- (Right panel) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. \r\n\r\nFirst column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010-2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.13\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nExtracted from 'mapplot_data.npz':\r\n - Data file: nmodels_ssp245_nh_nhsummer.nc\r\n - Data file: nmodels_ssp245_nh_nhwinter.nc\r\n - Data file: nmodels_ssp245_sh_nhsummer.nc\r\n - Data file: nmodels_ssp245_sh_nhwinter.nc\r\n - Data file: sic_obs_nh_nhsummer.nc\r\n - Data file: sic_obs_nh_nhwinter.nc\r\n - Data file: sic_obs_sh_nhsummer.nc\r\n - Data file: sic_obs_sh_nhwinter.nc\r\n\r\nData from the datafile 'mapplot_data.npz' included in the 'Plotted Data' folder of the dedicated GitHub repository has been extracted in NetCDF format for archival by the authors. The original .npz file is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universtität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data and scripts for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37724, "uuid": "65c832a5eeda4ed7a9b0a8af6cf5058d", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.15 (v20220712)", "abstract": "Data for Figure 9.15 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.15 shows Antarctic sea ice historical records and CMIP6 projections. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (Left panel) Absolute anomaly of observed monthly mean Antarctic sea ice area during the period 1979–2019 relative to the average monthly mean Antarctic sea ice area during the period 1979–2008. \r\n- (Right panel) Sea ice coverage in the Antarctic as given by the average of the three most widely used satellite-based estimates for September and February, which usually are the months of maximum and minimum sea ice coverage, respectively. \r\n\r\nFirst column: Mean sea ice coverage during the decade 1979–1988. \r\nSecond column: Mean sea ice coverage during the decade 2010–2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15% for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.15\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nDatafile 'mapplot_data.npz' included in the 'Plotted Data' folder of the GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the code and output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37728, "uuid": "88dc6a422faa4d0486d35088e3d1d78f", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.11 (v20220712)", "abstract": "Data for Figure 9.11 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.11 shows simulated barotropic streamfunction, surface speed and major current transport in CMIP5 and CMIP6. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Mean barotropic streamfunction (unit: 109 kgs–1; 1995–2014)\r\n- (b) Projected barotropic streamfunction change (109 kgs–1; 2018–2100 vs 1995–2014) under SSP5-8.5. \r\n- (d) Mean surface (0–100 m) speed (m s–1)\r\n- (e) Projected surface speed change (m s–1, 2081–2100) versus 1995–2014 under SSP5-8.5.\r\n- (c, f) Median and likely range of 1995–2014 and 2081–2100 transport of three currents with the largest transport change and four with the largest fractional change (Sen Gupta et al., 2016). (c) Deep currents: Agulhas Extension (ACx), Gulf Stream (GS), Gulf Stream Extension (GSx), Tasman Leakage (TASL), East Australia Current Extension (EACx), Indonesian Throughflow (ITF), and Brazil Current (BC). (f) Shallow currents: as for deep but with New Guinea Current (NGC), and without ACx. \r\n\r\n\r\nNo overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). Further details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.11\r\n \r\n - Data file: Fig9-11a_data.nc:\r\n - Data file: Fig9-11b_data.nc:\r\n - Data file: Fig9-11d_data.nc:\r\n - Data file: Fig9-11e_data.nc:\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSpeed maps, stream function maps and transport panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37729, "uuid": "260df0db210143dcbecf3182e24817a3", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.10 (v20220712)", "abstract": "Data for Figure 9.10 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.10 shows Atlantic Meridional Overturning Circulation (AMOC) strength in simulations and sensitivity to resolution and forcing. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels, with data for all panels contained in the code archived on Zenodo which is linked in the documentation. Data and code can also be found on the GitHub repository for chapter 9 linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- AMOC magnitude (units: Sverdrup (Sv) = 109 kg s–1) in PMIP experiments (Top left). \r\n- Time series of AMOC from CMIP5 and CMIP6 based on (Menary et al., 2020b) (Top right). \r\n- Percent change in AMOC strength per year at different resolutions over the 1950–2050 period with colours for model families (Roberts et al., 2020) (Bottom left).\r\n- A compilation of percentage changes in the simulated AMOC after applying an additional freshwater flux in the subpolar North Atlantic at the surface for a limited time (de Vries and Weber, 2005; Stouffer et al., 2006; Yin and Stouffer, 2007; Jackson, 2013; Liu and Liu, 2013; Jackson and Wood, 2018; Haskins et al., 2019) (Bottom right). \r\n\r\nSymbols indicate whether the AMOC recovers within 200 years (circles), is starting to recover (upwards arrow), or does not recover within 200 years (downwards arrow). Symbol size indicates rate of freshwater input. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData provided for all panels in the code archived on Zenodo which is linked in the Related Documents section of this catalogue record. Data and code can also be found on the GitHub repository for chapter 9 also linked here.\r\n\r\nAMOC is the Atlantic Meridional Overturning Circulation.\r\nPMIP is the Paleoclimate Modelling Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nAll panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the dedicated GitHub repository for figure." }, { "ob_id": 37735, "uuid": "5806683122b74f4ca60e0d6c546583f9", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.24 (v20221114)", "abstract": "Data for Figure 9.24 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.24 shows simulated CMIP6 and observed snow cover extent (SCE). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Simulated CMIP6 and observed (Mudryk et al., 2020) SCE (in millions of km2) for 1981–2014.\r\n- (b) Spring (March to May) Northern Hemisphere SCE against global surface air temperature (GSAT) (relative to the 1995–2014 average) for the CMIP6 Tier 1 scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), with linear regressions. \r\n\r\n(a) Boxes and whiskers with outliers represent monthly mean values for the individual CMIP6 models averaged over 1981–2014, with the red bar indicating the median of the CMIP6 multi-model ensemble for that period. The observed interannual distribution over the period is represented in green, with the yellow bar indicating the median.\r\n\r\n(b) Each data point is the mean for one CMIP6 simulation (first ensemble member for each available model) in the corresponding temperature bin. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.24\r\n \r\n - Data file: Mudryk_scf_1981-2014.txt\r\n - Data file: snc_clim_CMIP6_historical_1981-2014.txt\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp126.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp245.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp370.nc\r\n - Data file: sncbin_BCC-CSM2-MR_historical_ssp585.nc\r\n - Data file: sncbin_CanESM5_historical_ssp119.nc\r\n - Data file: sncbin_CanESM5_historical_ssp126.nc\r\n - Data file: sncbin_CanESM5_historical_ssp245.nc\r\n - Data file: sncbin_CanESM5_historical_ssp370.nc\r\n - Data file: sncbin_CanESM5_historical_ssp585.nc\r\n - Data file: sncbin_CESM2_historical_ssp126.nc\r\n - Data file: sncbin_CESM2_historical_ssp245.nc\r\n - Data file: sncbin_CESM2_historical_ssp370.nc\r\n - Data file: sncbin_CESM2_historical_ssp585.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp126.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp245.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp370.nc\r\n - Data file: sncbin_CESM2-WACCM_historical_ssp585.nc\r\n - Data file: sncbin_CIESM_historical_ssp126.nc\r\n - Data file: sncbin_CIESM_historical_ssp245.nc\r\n - Data file: sncbin_CIESM_historical_ssp585.nc\r\n - Data file: sncbin_CMCC-CM2-SR5_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-CM6-1_historical_ssp585.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-CM6-1-HR_historical_ssp585.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp119.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp126.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp245.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp370.nc\r\n - Data file: sncbin_CNRM-ESM2-1_historical_ssp585.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp126.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp245.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp370.nc\r\n - Data file: sncbin_EC-Earth3_historical_ssp585.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp126.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp245.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp370.nc\r\n - Data file: sncbin_EC-Earth3-Veg_historical_ssp585.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp126.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp245.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp370.nc\r\n - Data file: sncbin_FGOALS-f3-L_historical_ssp585.nc\r\n - Data file: sncbin_GFDL-CM4_historical_ssp245.nc\r\n - Data file: sncbin_GFDL-CM4_historical_ssp585.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp126.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp245.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp370.nc\r\n - Data file: sncbin_GFDL-ESM4_historical_ssp585.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp119.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp126.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp245.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp370.nc\r\n - Data file: sncbin_GISS-E2-1-G_historical_ssp585.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp126.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp245.nc\r\n - Data file: sncbin_HadGEM3-GC31-LL_historical_ssp585.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp119.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp126.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp245.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp370.nc\r\n - Data file: sncbin_IPSL-CM6A-LR_historical_ssp585.nc\r\n - Data file: sncbin_MIROC6_historical_ssp119.nc\r\n - Data file: sncbin_MIROC6_historical_ssp126.nc\r\n - Data file: sncbin_MIROC6_historical_ssp245.nc\r\n - Data file: sncbin_MIROC6_historical_ssp370.nc\r\n - Data file: sncbin_MIROC6_historical_ssp585.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp119.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp126.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp245.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp370.nc\r\n - Data file: sncbin_MIROC-ES2L_historical_ssp585.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp126.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp245.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp370.nc\r\n - Data file: sncbin_MPI-ESM1-2-HR_historical_ssp585.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp119.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp126.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp245.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp370.nc\r\n - Data file: sncbin_MRI-ESM2-0_historical_ssp585.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp126.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp245.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp370.nc\r\n - Data file: sncbin_NorESM2-LM_historical_ssp585.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp126.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp245.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp370.nc\r\n - Data file: sncbin_NorESM2-MM_historical_ssp585.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp119.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp126.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp245.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp370.nc\r\n - Data file: sncbin_UKESM1-0-LL_historical_ssp585.nc\r\n\r\nIn the linked GitHub repository the filename convention differs slightly from the above, the final underscore is replaced with a '+'. \r\nFor example, 'sncbin_UKESM1-0-LL_historical_ssp585.nc' in the repository is called 'sncbin_UKESM1-0-LL_historical+ssp585.nc' in the GitHub repository.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeonomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanels (a) and (b) were plotted using standard Python software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository. Note the difference in filenames mentioned above in the Data provided section." }, { "ob_id": 37730, "uuid": "6b33327d0d0d4bcca872b431279086db", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.32 (v20220721)", "abstract": "Data for Figure 9.32 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.32 shows projected median frequency amplification factors for the 1% average annual probability extreme still water level in 2050 and 2100. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels, with data provided for panels a-f.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Projected median frequency amplification factors for 1% average annual probability extreme still water level in 2050 (a, c, e) and 2100 (b, d, f).\r\n- Regional projections for these under:\r\n(a, b) SSP5-85.\r\n(c, d) SSP2-45.\r\n(e, f) SSP1-26.\r\n\r\n1% average annual probability extreme still water level is defined as the 99th percentile of daily observed water levels over 1995–2014. Based on a peak-over-threshold (99.7%) method applied to the historical extreme still water levels of Global Extreme Sea Level Analysis version 2 (GESLA2) following Special Report on Ocean and Cryosphere in a Changing Climate (SROCC) and additionally fitting a Gumbel distribution between Mean Higher High Water (MHHW) and the threshold following Buchanan et al. (2016), using the regional sea level projections of Section 9.6.3.3 for (a-f).\r\n\r\n Further details on data sources and processing are available in the chapter data table \r\n(Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.32\r\n \r\n - Data file: Fig9-32a_facts_esl_af_allow_ssp585_2050.nc\r\n - Data file: Fig9-32b_facts_esl_af_allow_ssp585_2100.nc\r\n - Data file: Fig9-32c_facts_esl_af_allow_ssp245_2050.nc\r\n - Data file: Fig9-32d_facts_esl_af_allow_ssp245_2100.nc\r\n - Data file: Fig9-32e_facts_esl_af_allow_ssp126_2050.nc\r\n - Data file: Fig9-32f_facts_esl_af_allow_ssp126_2100.nc\r\n\r\nPython file 'facts_esl_output_to_NetCDF.py' included in the 'Plotted Data' folder of the dedicated GitHub repository is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record. This is a script converting ESL results in CSV format to NetCDF.\r\n\r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nGESLA2 is the Global Extreme Sea Level Analysis version 2.\r\nSROCC stands for Ocean and Cryosphere in a Changing Climate. \r\nMHHW stands for Mean Higher High Water.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMap and figure plots were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n - Link to the code and output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37722, "uuid": "fdfeb81d2ffd42c3ba2bbb00b681317c", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.4 (v20220721)", "abstract": "Data for Figure 9.4 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.4 shows global maps of observed mean fluxes, the observed trends in these fluxes, and the projected rate of change in these fluxes from SSP5-8.5, for freshwater, net heat, and wind stress magnitude (momentum).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has 9 panels labelled (a)-(i), with data provided for all panels using this lettering system in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Freshwater flux (a–c), net heat flux (d–f), and momentum flux or wind stress magnitude (g–i).\r\n- Means and observed trends between 1995–2014 (freshwater and wind stress) or 2001–2014 (heat). \r\n- SSP5-8.5 projected rates between 1995–2100 using 20-year averages at each end of the time period. - - Objective interpolation from CERES, EBAF v4 (Kato et al., 2018), OAFlux-HR (Yu, 2019) and GPCP (Adler et al., 2003) of fluxes and flux trends (b, e, h). \r\n\r\nObserved trends with no overlay indicate regions where the trends are significant at p = 0.34 level. Crosses indicate regions where trends are not significant. For (c, f, i) projections, no overlay indicates regions with high model agreement, where ≥80% of models agree on the sign of change. Diagonal lines indicate regions with low model agreement, where <80% of models agree on the sign of change (see Cross-Chapter Box Atlas.1 for more information). \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.4\r\n \r\n - Data file: Fig9-4a_data.nc: \r\n - Data file: Fig9-4b_data.nc: \r\n - Data file: Fig9-4c_data.nc: \r\n - Data file: Fig9-4d_data.nc: \r\n - Data file: Fig9-4e_data.nc: \r\n - Data file: Fig9-4f_data.nc: \r\n - Data file: Fig9-4g_data.nc: \r\n - Data file: Fig9-4g_data_tauu.nc: \r\n - Data file: Fig9-4g_data_tauv.nc: \r\n - Data file: Fig9-4h_data.nc: \r\n - Data file: Fig9-4i_data.nc: \r\n\r\nCERES stands for Clouds and the Earth’s Radiant Energy System.\r\nEBAF stands for Energy Balanced And Filled. \r\nOAFlux-HR stands for Objectively Analyzed air–sea Fluxes-High Resolution.\r\nGPCP is the Global Precipitation Climatology Project.\r\nSSP stands for Shared Socio-Economic Pathway. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nFlux maps were plotted using standard matplotlib software, code is available via the link in the documentation.\r\n\r\nSome of the plotting code is designed to use pre-processed CMIP data, rather than the provided netcdf files. To reproduce these figures form the metadata please modify the example code linked in the Related Documents section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to example code on GitHub\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 39775, "uuid": "d54f2a1e4d2f42e68c10e2b11668dcd6", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for CCB 9.1, Figure 1 (v20230310)", "abstract": "Input Data for CCB 9.1, Figure 1 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCross Chapter Box 9.1, Figure 1 shows observed and simulated regional probability ratio of marine heatwaves (MHWs) for the 1985-2014 period and for the end of the 21st century under two different greenhouse gas emissions scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Fox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with input data provided for all panels in the main directory. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Pre-processed annual timeseries of global ocean heat content change (ZJ) and global thermal expansion (mm) for the period 1870 to 2020. \r\n\r\n Timeseries are global integrals over the following vertical layers: 0-300 m; 0-700 m; 0-2000 m; 700-2000 m; > 2000 m; Full-depth.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a: global ocean heat content change (ZJ) for the layers 0-700 m, 700-2000 m and > 2000 m are represented by the blue shaded regions as indicated in the figure legend.\r\n Panel b: global thermal expansion (mm) for the layers 0-700 m, 700-2000 m and > 2000 m are represented by the blue shaded regions as indicated in the figure legend.\r\n\r\nFor files 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m_error.csv', 'more_than' has replaced '>' from the original filenames for archival. \r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n These files contain the data used as input to the code used to generate the ensemble assessment time series of ocean heat content (OHC) change and global thermal expansion (ThSL) that were developed for the IPCC AR6 WG1 report.\r\n\r\n\r\nThe Python script used is called: compute_OHC_ThSL_ensemble_FGD_python3.py. The link to the code, archived on Zenodo, is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\nThe actual file used as input data to the code is in a non proprietary format (AR6_GOHC_GThSL_timeseries_MDP_2021-01-20.mat) and is archived on Zenodo together with the code. The files archived here contain the same information but in a csv format.\r\n\r\n\r\nTo run the code, you will need to edit the paths for plotdir, savedir and datadir based on your local directory structure. \r\n\r\n\r\nOn running the code, the script creates two *.pickle files and corresponding *.csv files that contain the ensemble estimates of OHC and ThSL. It also generates four figure files that show the original input timeseries and the ensemble estimate, following the approach described by Palmer et al [2021].\r\n\r\n\r\nPre-processed individual ensemble member timeseries are available in *.csv format in the Supplementary Materials of Kuhlbrodt et al [in press]. Full citation: T. Kuhlbrodt, A. Voldoire, M.D. Palmer, O. Geoffroy and R.E. Killick “Historical ocean heat uptake in two pairs of CMIP6 models: global and regional perspectives”, Journal of Climate, in press.\r\n\r\nPlease note that for the files 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_more_than_2000m_error.csv' CEDA staff were required to change the filenames in order to align with archive naming conventions. The original file names were 'AR6_OHC_timeseries_MDP_2021-01-20_>2000m.csv' and 'AR6_OHC_timeseries_MDP_2021-01-20_>2000m_error.csv'. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37732, "uuid": "ff28d78693f645aa820266d472a6e1b3", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.29 (v20221114)", "abstract": "Data for Figure 9.29 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.29 shows timing of when global mean sea level (GMSL) thresholds of 0.5, 1.0, 1.5 and 2.0 m are exceeded, based on four different ice-sheet projection methods informing post-2100 projections. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for panels SSP1-2.6 and SSP5-8.5 separately.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Timing of GMSL threshold exceedance at 0.5m, 1.0m, 1.5m, 2.0m based on four ice-sheet projection methods informing post-2100 methods. \r\n\r\nMethods are labelled based on their treatment of ice sheets. \r\n- ‘No acceleration’ assumes constant rates of mass change after 2100. \r\n- ‘Assessed ice sheet’ models post-2100 ice-sheet losses using a parametric fit (Supplementary Material 9.SM.4) extending to 2300 based on a multi-model assessment of contributions under RCP2.6 and RCP8.5 at 2300. \r\n- Marine ice-cliff instability (MICI) combines the parametric fit (Supplementary Material 9.SM3.4) for Greenland with Antarctic projections based on DeConto et al. (2021).\r\n- Structured expert judgement (SEJ) employs ice-sheet projections from Bamber et al. (2019). \r\n\r\nCircles, thick bars and thin bars represent the 50th, 17th–83rd and 5th–95th percentiles of the exceedance timing for the indicated projection method.\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.29\r\n \r\n - Data file: Fig9-29_ssp126_data.nc\r\n - Data file: Fig9-29_ssp585_data.nc\r\n\r\nGMSL stands for Global Mean Sea Level.\r\nRCP stands for Representative Concentration Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nProjected exceedances were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\nThe provided R code for generating this plot uses relative paths. Be sure to set your session's working directory to the location of the R code before running the code.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37734, "uuid": "64fa14764534431f805e747249786f88", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.26 (v20220721)", "abstract": "Data for Figure 9.26 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.26 shows median global mean and regional relative sea level projections (m) by contribution for the SSP1-2.6 and SSP5-8.5 scenarios. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels, with data provided for all panels in one central directory in the GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Upper time series: Global mean contributions to sea level change as a function of time, relative to 1995–2014. \r\n\r\n- Lower maps: Regional projections of the sea level contributions in 2100 relative to 1995–2014 for SSP5-8.5 and SSP1-2.6. Vertical land motion is common to both SSPs.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.26\r\n\r\n - Data file: Fig9-26_2100likelyranges.nc\r\n - Data file: Fig9-26_data_landmotion_map.nc\r\n - Data file: Fig9-26_data_ssp126_Antarctic_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_Greenland_map.nc\r\n - Data file: Fig9-26_data_ssp126_Greenland_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_glacier_map.nc\r\n - Data file: Fig9-26_data_ssp126_glacier_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_landwater_map.nc\r\n - Data file: Fig9-26_data_ssp126_landwater_timeseries.nc\r\n - Data file: Fig9-26_data_ssp126_oceandynamics_map.nc\r\n - Data file: Fig9-26_data_ssp126_thermalexpansion_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_Antarctic_map.nc\r\n - Data file: Fig9-26_data_ssp585_Antarctic_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_Greenland_map.nc\r\n - Data file: Fig9-26_data_ssp585_Greenland_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_glacier_map.nc\r\n - Data file: Fig9-26_data_ssp585_glacier_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_landwater_map.nc\r\n - Data file: Fig9-26_data_ssp585_landwater_timeseries.nc\r\n - Data file: Fig9-26_data_ssp585_oceandynamics_map.nc\r\n - Data file: Fig9-26_data_ssp585_thermalexpansion_timeseries.nc\r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9).\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nContribution maps and timeseries were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository." }, { "ob_id": 37725, "uuid": "e25c3cffd4ae4abc8b2ff9b755fce164", "short_code": "ob", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.14 (v20220721)", "abstract": "Data for Figure 9.14 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.14 shows monthly mean March and September sea ice area as a function of global surface air temperature (GSAT) anomaly; cumulative anthropogenic CO2 emissions; year in CMIP6 model simulations and in observations. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 8 subpanels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- (a) Monthly mean March sea ice area as a function of global surface air temperature (GSAT) anomaly.\r\n- (b) Monthly mean March sea ice area as a function of cumulative anthropogenic CO2 emissions.\r\n- (c) Monthly mean March sea ice area as a function of year in CMIP6 model simulations and observations.\r\n- (d) Sensitivity of March sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.\r\n- (e) Monthly mean September sea ice area as a function of global surface air temperature (GSAT) anomaly. \r\n- (f) Monthly mean September sea ice area as a function of cumulative anthropogenic CO2 emissions.\r\n- (g) Monthly mean September sea ice area as a function of year in CMIP6 model simulations and observations\r\n- (h) Sensitivity of September sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.\r\n\r\nCO2 emissions are shown as CMIP6 model simulations (shading, ensemble mean as bold line) and observations (black dots).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.14\r\n \r\n - Data file: CMIP3_sensitivity_nh.nc\r\n - Data file: CMIP5_sensitivity_nh.nc\r\n - Data file: CMIP6_historical_nh.nc\r\n - Data file: CMIP6_sensitivity_nh.nc\r\n - Data file: CMIP6_ssp119_nh.nc\r\n - Data file: CMIP6_ssp126_nh.nc\r\n - Data file: CMIP6_ssp245_nh.nc\r\n - Data file: CMIP6_ssp585_nh.nc\r\n - Data file: CO2_CMIP6.nc\r\n - Data file: IPCC_GSAT.csv: Provisional time series for use in GSAT calculations. \r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: obs_sensitivity_nh.nc\r\n\r\nCMIP3 is the third phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nGSAT stands for Global Surface Air Temperature. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nUHH is the University of Hamburg (Universität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nSections of the figure in the report were plotted using standard matplotlib software - code is available via the link in the documentation. Some data has been converted to net-CDF format for archival, original .mat files used in the plotting script are archived on Zenodo at the link provided in the Related Document section of this catalogue record.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data for this figure, contained in a dedicated GitHub repository." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145960, 145959, 145958, 145957, 145956, 145955, 145954, 145953, 145961, 168303, 145962, 145963 ], "onlineresource_set": [ 42845, 80235 ], "project_set": [ 32705 ] }, { "ob_id": 32726, "uuid": "6fbf9d885b7444aba681868c4006c86a", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 10: Linking global to regional climate change", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 10: Linking global to regional climate change.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 10.6\r\n- data for Figure 10.10\r\n- data for Figure 10.11\r\n- data for Figure 10.12\r\n- data for Figure 10.13\r\n- data for Figure 10.18\r\n- data for Figure 10.19\r\n- data for Figure 10.20\r\n- data for Figure 10.21\r\n- data for CCB 10.4, Figure 1", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:28:27", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 34635, "uuid": "e4416a7d02ed4eeb9a971a7d3c2f4e42", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for CCB 10.4 Figure 1 (v20220622)", "abstract": "Data for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nCCB10.4 Figure 1 shows historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual means for:\r\n \r\n - Observed and modelled trends over 1961-2014\r\n - Anomalies 1961-2014 with respect to 1961-1980 average for the HKH region mean\r\n - Trends 1961-2014 for the HKH region mean\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_BerkeleyEarth_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_CRU_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_APHRO-MA_single_trend.nc, \r\nFig_10_CCB-4_1_panel-a_mapplot_tas_trend_JRA-55_single_trend.nc; \r\nObserved and reanalysis surface air temperature OLS linear trends over 1961-2014 over the HKH region, from left to right Berkeley Earth, CRU TS, APHRO-MA, JRA-55\r\n \r\n Panel (b):\r\n - Data files: \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_min_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_MultiModelMedian_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_max_single-MultiModelMean_trend-min-median-max.nc; \r\nModelled surface air temperature OLS linear trends over 1961-2014 over the Hindu Kush Himalaya region, from left to right (CMIP6 models with min (coldest), median and max (warmest) trends)\r\n \r\n Panel (c):\r\n - Data file: Fig_10_CCB-4_1_panel-c_timeseries.csv; \r\nSurface air temperature anomalies 1961-2014 in respect to 1961-1980 average for the Hindu Kush Himalaya (HKH) region mean: means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue), Berkeley Earth (dark blue), CRU TS (brown), APHRO-MA (light green) and JRA-55 (dark green).\r\n \r\n Panel (d):\r\n - Data file: Fig_10_CCB-4_1_panel-d_trends.csv; \r\nSurface air temperature OLS linear trends 1961-2014 for the Hindu Kush Himalaya (HKH) region mean: observed and reanalysis data (Berkeley Earth, CRU TS, APHRO-MA, JRA-55: black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)\r\n\r\n\r\nAcronyms: \r\nCRU TS- Climatic Research Unit Time Series, \r\nCMIP - Coupled Model Intercomparison Project, \r\nJRA - Japanese 55year Reanalysis, \r\nDAMIP - Detection and Attribution Model Intercomparison Project, \r\nGHG - Greenhouse Gas, \r\nSMILEs - Single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO -Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, d4PDF - database for policy decision-making for future climate changes, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34614, "uuid": "e79aab21bf644e61bf5dacd02199daa3", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.19 (v20220622)", "abstract": "Data for Figure 10.19 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.19 shows changes in the Indian summer monsoon in the historical and future periods.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 6 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains:\r\n APHRODITE station density for June-September (JJAS) 1956\r\n Precipitation June-September (JJAS):\r\n \r\n - Model mean bias 1985-2010\r\n - Observed and modelled trends: CRU TS 1950-2000, CMIP6 hist-GHG & hist-aer 1950-2000, and CMIP6 SSP5-8.5 2015-2100 trends\r\n - Observed and model relative anomalies over 1950-2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)\r\n - Modelled change until 2081‒2100 with respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N)\r\n - Trends in relative precipitation anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N).\r\n - Trend difference between the 3 MPI-ESM runs with the lowest and the 3 MPI-ESM runs with the highest trend\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nAPHRODITE station density for JJAS 1956:\r\n - Data file: \r\nFig_10_19_panel-a_mapplot_APHRODITE_stationdensity_single_mean.nc\r\n \r\n Panel (b):\r\nCMIP6 mean precipitation bias June-September mean 1985-2010 mean with respect to CRU TS:\r\n - Data file: \r\nFig_10_19_panel-b_mapplot_pr_cmip6_bias_pr_cmip6_maps_past_bias_MultiModelMean_bias.nc\r\n \r\n Panel (c):\r\nOLS linear precipitation for June-September mean trend of CRU TS 1950-2000 (top left), CMIP6 hist-GHG (bottom left) & hist-aer (bottom right) 1950-2000, and CMIP6 SSP5-8.5 2015-2100 (top right):\r\n - Data files: \r\nFig_10_19_panel-c_mapplot_pr_cmip6_mean_trend_future_pr_cmip6_maps_trend_future_MultiModelMean_trend.nc,\r\nFig_10_19_panel-c_mapplot_pr_histaer_mean_trend_past_pr_aer_maps_trend_past_MultiModelMean_trend.nc, \r\nFig_10_19_panel-c_mapplot_pr_histghg_mean_trend_past_pr_ghg_maps_trend_past_MultiModelMean_trend.nc, \r\nFig_10_19_panel-c_mapplot_pr_obs_mean_trend_past_CRU_single_trend.nc;\r\n \r\n Panel (d):\r\nObserved and model relative precipitation June-September mean anomalies over 1950-2100 in respect to 1995-2014 averages over central India (lon: 76°E-87°E, lat: 20°N-28°N) (CRU TS (brown), GPCC (dark blue), REGEN (green), APHRO-MA (light brown), IITM all-India rainfall (light blue), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), CMIP6 hist-aer (grey), hist-GHG (light blue) CMIP6 historical/SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue) and Modelled change until 2081‒2100 in respect to 1995-2014 averages over central India (CMIP6 SSP5-8.5 (dark red) and CMIP5 historical/RCP8.5 (dark blue)):\r\n - Data files: \r\nFig_10_19_panel-d_timeseries.csv, \r\nFig_10_19_panel-d_boxplot.csv\r\n \r\n Panel (e):\r\nOLS linear trends in relative precipitation June-September mean anomalies (baseline 1995-2014) over past (1950-2000) and future (2015-2100) period over central India (lon: 76°E-87°E, lat: 20°N-28°N) of observations (GPCC, CRU TS, REGEN and APRHO-MA: black crosses) and models (individual members of CMIP5 historical-RCP8.5 (blue), CMIP6 historical-SSP5-8.5 (dark red), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles)), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_19_panel-e_trends.csv\r\n \r\n Panel (f):\r\nJune-September mean 2016-2045 OLS linear trend difference in precipitation between the 3 MPI-ESM runs with the lowest and the 3 MPI-ESM runs with the highest trend:\r\n - Data file: \r\nFig_10_19_panel-f_mapplot_pr_mpige_mean_trend_future_spread_single_trend-difference-min3-max3.nc\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nAPHRODITE - ASIAN PRECIPITATION - HIGHLY-RESOLVED OBSERVATIONAL DATA INTEGRATION TOWARDS EVALUATION OF WATER RESOURCES, \r\nCRU TS- Climatic Research Unit Time Series, \r\nGHG - Greenhouse gas, \r\nIITM - Indian Institute of Technology Madras, \r\nRCP - Representative Concentration Pathway, \r\nDAIMP - Detection and Attribution Model Intercomparison Project, \r\nSSP - Shared Socioeconomic Pathways, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nREGEN - Rainfall Estimates on a Gridded Network, S\r\nMILEs -single model initial-condition large ensembles, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nOLS - ordinary least squares regression. \r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34626, "uuid": "d4eccbbd51db4ab7a8ad05a6f2f6a98a", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.10 (v20220622)", "abstract": "Data for Figure 10.10 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.10 shows observed and projected changes in austral summer (December to February) mean precipitation in Global Precipitation Climatology Centre (GPCC), Climatic Research Unit Time-Series (CRU TS) and 100 members of the Max-Planck-Institut für Meteorologie Earth-System Model (MPI-ESM).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for both panels. Panel (a) consists of two maps, panel (b) shows multiple timeseries and boxplots.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The dataset contains data of relative precipitation anomalies over 1950-2100 with respect to 1995-2014 average for global, S.E.South-America, Sao Paulo and Buenos Aires for:\r\n \r\n - Observational data (GPCC and CRU TS)\r\n - Model data (100 runs of MPI-ESM)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nModelled precipitation rate OLS linear trends between 2015-2070 with respect to 1995-2014 average over S.E. South America region, from left to right (MPI-ESM member with min (driest) and max (wettest) trends):\r\nFig_10_10_panel-a_mapplot_trend_SES_DJF_MPI-GE_min_single-MultiModelMean_trend-min-median-max.nc, \r\nFig_10_10_panel-a_mapplot_trend_SES_DJF_MPI-GE_max_single-MultiModelMean_trend-min-median-max.nc\r\n \r\n Panel (b):\r\n - Data files: \r\nPrecipitation rate anomalies 1950-2100 with respect to 1995-2014 average for the global mean, S.E.South-America mean, Sao Paulo mean and Buenos Aires mean of GPCC (dark blue), CRU (dark brown), members of the MPI-ESM (grey), the MPI-ESM member with the driest (brown) and wettest (green) trend:\r\nFig_10_10_panel-b_timeseries_global.csv, \r\nFig_10_10_panel-b_timeseries_SES.csv, \r\nFig_10_10_panel-b_timeseries_SaoPaulo.csv, \r\nFig_10_10_panel-b_timeseries_BuenosAires.csv\r\n\r\n - Data files: \r\nUnderlying data points of the boxplot showing MPI-ESM modelled precipitation rate OLS linear trends over all members between 2015-2070 with respect to 1995-2014 average for the global mean, S.E.South-America mean, Sao Paulo mean and Buenos Aires mean:\r\nFig_10_10_panel-b_boxplot_BuenosAires.csv, \r\nFig_10_10_panel-b_boxplot_global.csv, \r\nFig_10_10_panel-b_boxplot_SaoPaulo.csv, \r\nFig_10_10_panel-b_boxplot_SES.csv; \r\n\r\nOLS - ordinary least squares regression.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34629, "uuid": "567ca2ab6d6043479a1eaec678bfe91a", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.18 (v20220622)", "abstract": "Data for Figure 10.18 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.18 shows historical and projected rainfall and Southern Annular Mode (SAM) over the Cape Town region.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is for the Cape Town region:\r\n \r\n - Observed yearly accumulation of rainfall, 1933-2014 mean, 2015, 2016, 2017\r\n - Observed annual precipitation cycle, 1933-2014 mean, 2015-2017 mean, 2015, 2016, 2017\r\n - Rainfall anomalies 1930-2100 with respect to 1980–2010 means\r\n - SAM index (calculated from sea-level pressure) 1930-2100\r\n - Precipitation trends 1933-2017, 1979-2017 and 2018-2100\r\n - SAM index trends 1933-2017, 1979-2017 and 2018-2100\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nStation data of yearly accumulation of rainfall over the Cape Town region, 1933-2014 (grey lines), 2015 (orange line), 2016 (red line), 2017 (purple line):\r\n - Data file: \r\nFig_10_18_panel-a.csv\r\n \r\n Panel (b):\r\nStation data of annual precipitation cycle over the Cape Town region, 1933-2014 mean (black line), 2015-2017 mean (grey line), 2015 (orange bars), 2016 (red bars), 2017 (purple bars):\r\n - Data file: \r\nFig_10_18_panel-b.csv\r\n \r\n Panel (c):\r\nSAM index (top part) and rainfall (bottom part) anomalies over the Cape Town region between 1930 and 2100 of observed and reanalysis data (SAM: station based (black line), NCEP/NCAR (light blue line), ERA20C (dark red line) and 20CR (yellow line); rainfall: station based (black line), GPCC (green line) and CRU TS (olive line)) and model data (SAM and rainfall: CMIP5 (blue shading), CMIP6 (red shading), MIROC6 (orange shading); Rainfall: CORDEX (cyan shading), 6 CCAM (purple shading)):\r\n - Data files: \r\nFig_10_18_panel-c_timeseries_precipitation.csv, \r\nFig_10_18_panel-c_timeseries_SAM_index.csv\r\n \r\n Panel (d):\r\nSAM index (top part) and rainfall (bottom part) Theil-Sen trends between 1933-2017, 1979-2017 and 2018-2100 over the Cape Town region (31°S‒35°S, 18°W‒20.5°W) of observed and reanalysis data (SAM: station based (black), NCEP/NCAR (light blue), ERA20C (dark red) and 20CR (yellow); rainfall: station based (black), GPCC (green) and CRU TS (olive)) and model data (CMIP5 (blue), CMIP6 (red), MIROC6 (orange)):\r\n - Data files: \r\nFig_10_18_panel-d_trends_precipitation_1933-2017.csv, \r\nFig_10_18_panel-d_trends_precipitation_2018-2100.csv, \r\nFig_10_18_panel-d_trends_SAM_index_1979-2017.csv, \r\nFig_10_18_panel-d_trends_precipitation_1979-2017.csv, \r\nFig_10_18_panel-d_trends_SAM_index_1933-2017.csv, \r\nFig_10_18_panel-d_trends_SAM_index_2018-2100.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nNCEP - National Centers for Environmental Prediction, \r\nNCAR - National Center for Atmospheric Research, \r\nCRU TS - Climatic Research Unit (CRU) Time-series (TS), \r\nCORDEX - Coordinated Regional Climate Downscaling Experiment, \r\nCCAM - Conformal Cubic Atmospheric Model, \r\nMIROC6 - Model for Interdisciplinary Research on Climate, \r\nGPCC- Global Precipitation Climatology Centre, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34617, "uuid": "5d64c2103c534f83b8ec11a2a4cab10d", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.13 (v20220622)", "abstract": "Data for Figure 10.13 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.13 shows attribution of the southwestern North America precipitation decline during the 1983-2014 period.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 3 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual October-September (water year) precipitation means for:\r\n \r\n - Observed and modelled trends over 1983-2014\r\n - Observed and modelled relative anomalies with respect to 1971-2000 averages over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N)\r\n - Trends in relative precipitation anomalies between 1983-2014 (baseline 1983-2014) over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nObserved and Model (MPI-ESM and d4PDF runs with min and max trends as well as mean trends) OLS linear trends in precipitation between 1983 and 2014 over North America:\r\n - Data files: \r\nFig_10_13_panel-a_mapplot_pr_trend_CRU_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_REGEN_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_GPCC_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_GPCP_single_trend.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_max_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_min_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_d4pdf_d4PDF_MultiModelMean_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_max_single-MultiModelMean_trend-min-mean-max.nc, \r\nFig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_min_single-MultiModelMean_trend-min-mean-max.nc, F\r\nig_10_13_panel-a_mapplot_pr_trend_mpige_MPI-GE_MultiModelMean_single-MultiModelMean_trend-min-mean-max.nc\r\n \r\n Panel (b):\r\nObserved (CRU TS, black) and Model (d4PDF runs with min (brown) and max (green) trends) timeseries relative precipitation anomalies in respect to 1971-2000 averages over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N):\r\n - Data file: \r\nFig_10_13_panel-b_timeseries.csv\r\n \r\n Panel (c):\r\nOLS linear trends in relative precipitation anomalies between 1983-2014 (baseline 1983-2014) over southwestern North America (lon: 240°E-255°E, lat: 28°N-40°N): observed data (CRU TS, REGEN, GPCC and GPCP, black crosses), individual members of CMIP6 historical (red circles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_13_panel-c_trends.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nCRU TS- Climatic Research Unit Time Series, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nGPCP - Global Precipitation Climatology Project, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nMPI GE - Max-Planck-Institut für Meteorologie Grand Ensemble, \r\nESM - Earth System Model, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nREGEN -Rainfall Estimates on a Gridded Network, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34611, "uuid": "19ec340e6f2d47479ddb483961b0c1bb", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.20 (v20220113)", "abstract": "Data for Figure 10.20 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.20 shows aspects of Mediterranean summer warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 7 subpanels. Data for subpanels d, e, f and g is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual summer (JJA) means for:\r\n \r\n - Observed trends over 1960-2014\r\n - Anomalies 1960-2014 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Trends 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled trend differences to the observed over 1960-2014\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (d):\r\n - Data file: Fig_10_20_panel-d_mapplot_tas_obs_trend_single_single_trend.nc; \r\nJJA Berkeley Earth surface air temperature OLS linear trends over 1960-2014 over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n \r\n Panel (e):\r\n - Data file: Fig_10_20_panel-e_timeseries.csv; \r\nObserved and modelled JJA surface air temperature anomalies 1960-2014 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N): CMIP5 (blue), CMIP6 (red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green), Berkeley Earth (dark blue), CRU TS (brown), HadCRUT5 (cyan)\r\n \r\n Panel (f):\r\n - Data file: Fig_10_20_panel-f_trends.csv; \r\nJJA OLS linear trends in surface air temperature 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) of observations (Berkeley Earth, CRU TS, HadCRUT5: black crosses) and models (CMIP5 (blue circles), CMIP6 (red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading)\r\n \r\n Panel (g):\r\n - Data files: \r\nFig_10_20_panel-g_mapplot_tas_cmip5_mean_trend_bias_tas_cmip5_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cmip6_mean_trend_bias_tas_cmip6_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cordex_11_mean_trend_bias_tas_cordex_11_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_cordex_44_mean_trend_bias_tas_cordex_44_maps_trend_MultiModelMean_trend-bias.nc, \r\nFig_10_20_panel-g_mapplot_tas_hrmip_mean_trend_bias_tas_hrmip_maps_trend_MultiModelMean_trend-bias.nc; \r\nModelled OLS linear surface air temperature trend differences to the observed trend (Berkeley Earth) over 1960-2014 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nCRU TS- Climatic Research Unit Time Series, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nSMILEs - single model initial-condition large ensembles, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nOLS - ordinary least squares regression. \r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34632, "uuid": "2dc808195d984efe8de7b52942796924", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.6 (v20220113)", "abstract": "Data for Figure 10.6 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.6 is an illustration of some model biases in simulations performed with dynamical models.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels ((a) and (b)), which are further divided into 6 maps and 1 boxplot. Data is provided for all subpanels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Boxplot data point is annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for western Mediterranean mean (lon: 10°W-10°E, lat: 33°N-45°N) between 1986 and 2005 for:\r\n \r\n - Observational datasets\r\n - Each model of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44\r\n \r\nMapplot data is mean (1986-2005) annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for the western Mediterranean (lon: 15°W-15°E, lat: 28°N-50°N) regrided on a 1°x1° regular grid for:\r\n - Absolute values for reference observational dataset (BerkeleyEarth (a), CRU TS (b))\r\n - Ensemble biases of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data file: \r\nObserved (Berkeley Earth) mean (1986-2005) annual summer mean (JJA) surface air temperature over the western Mediterranean (top left):\r\nFig_10_6_panel-a_mapplot_tas_obs_single_single_mean.nc\r\n\r\n - Data files: \r\nEnsemble mean (1986-2005) annual summer mean (JJA) surface air temperature bias over the western Mediterranean (top right):\r\nFig_10_6_panel-a_mapplot_tas_bias_cmip5_tas_cmip5_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cmip6_tas_cmip6_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_hrmip_tas_hrmip_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cdx44_tas_cdx44_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-a_mapplot_tas_bias_cdx11_tas_cdx11_map_MultiModelMean_bias.nc\r\n\r\n - Data file: \r\nObserved (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) surface air temperature values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part):\r\nFig_10_6_panel-a_boxplot.csv \r\n\r\n\r\n Panel (b):\r\n - Data file: \r\nObserved (CRU TS) mean (1986-2005) annual summer mean (JJA) precipitation rate over the western Mediterranean (top left):\r\nFig_10_6_panel-b_mapplot_pr_obs_single_masked_cru_single_mean.nc\r\n\r\n - Data files: \r\nEnsemble mean (1986-2005) annual summer mean (JJA) precipitation rate bias over the western Mediterranean (top right):\r\nFig_10_6_panel-b_mapplot_pr_bias_cmip5_pr_cmip5_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cmip6_pr_cmip6_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_hrmip_pr_hrmip_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cdx44_pr_cdx44_map_MultiModelMean_bias.nc, \r\nFig_10_6_panel-b_mapplot_pr_bias_cdx11_pr_cdx11_map_MultiModelMean_bias.nc\r\n\r\n - Data file: \r\nobserved (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) precipitation rate values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part):\r\nFig_10_6_panel-b_boxplot.csv\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nOLS - ordinary least squares regression.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34608, "uuid": "9f83afcc47ca49feb1d5702de9fa8869", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.21 (v20220622)", "abstract": "Data for Figure 10.21 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.21 shows projected Mediterranean summer warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual summer (JJA) surface air temperature means for:\r\n \r\n - Modelled anomalies 2015-2100 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled change until 2081‒2100 with respect to 1995-2014 averages over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Trends 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N)\r\n - Modelled trends over 2015-2050\r\n - Modelled Mediterranean summer vs global warming\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\n - Data files: \r\nFig_10_21_panel-a_timeseries.csv, \r\nFig_10_21_panel-a_boxplot.csv; \r\nModelled JJA surface air temperature anomalies 2015-2100 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N, CMIP5 (blue), CMIP6 (dark red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green)) and change until 2081‒2100 in respect to 1995-2014 averages (SSP1-2.6 dark blue, SSP2-4.5 yellow, SSP3-7.0 red, SSP5-8.5 dark red)\r\n \r\n Panel (b):\r\n - Data file: Fig_10_21_panel-b_trends.csv; \r\nModelled JJA OLS linear trends in surface air temperature 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) CMIP5 (blue circles), CMIP6 (dark red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM (grey shading)\r\n \r\n Panel (c):\r\n - Data files: \r\nFig_10_21_panel-c_mapplot_tas_cmip5_mean_trend_future_tas_cmip5_maps_trend_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cmip6_mean_trend_future_tas_cmip6_maps_trend_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cordex_11_mean_trend_future_tas_cordex_11_maps_trend_native_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_cordex_44_mean_trend_future_tas_cordex_44_maps_trend_native_MultiModelMean_trend.nc, \r\nFig_10_21_panel-c_mapplot_tas_hrmip_mean_trend_future_tas_hrmip_maps_trend_05_MultiModelMean_trend.nc; \r\nModelled OLS linear surface air temperature trends over 2015-2050 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means\r\n \r\n Panel (d):\r\n - Data file: Fig_10_21_panel-d_GWLRWL.csv; \r\nModelled Mediterranean summer (JJA) vs global warming under CMIP5 (RCP2.6 dark blue dashed line, RCP4.5 light blue dashed line, RCP6.0 orange dashed line and RCP8.5 red dashed line) and CMIP6 (SSP1-2.6 dark blue line, SSP2-4.5 yellow line, SSP3-7.0 red line, SSP5-8.5 dark red line) scenarios.\r\n\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCordex – Coordinated Regional Climate Downscaling Experiment, \r\nHighResMIP - High Resolution Model Intercomparison Project, \r\nSSP- Shared Socioeconomic Pathways, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, ESM - Earth System Model, \r\nRCP - Representative Concentration Pathway, \r\nOLS - ordinary least squares regression. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34623, "uuid": "970847e5690c4f9e8c4ad455641bd558", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.11 (v20220622)", "abstract": "Data for Figure 10.11 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure. 10.11 shows attribution of historic precipitation change in the Sahelian West African monsoon during June to September.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 5 subpanels. Data for all subpanels is provided.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual June-September (JJAS) precipitation means for:\r\n \r\n - Observed anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n - Model anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n - Observed precipitation difference 1980-1990 mean - 1950-1960 mean\r\n - Model differences between 1.5x and 0.2x aerosol scalings over 1955-1984\r\n - Trends in relative precipitation anomalies (baseline 1955-1984) over decline (1955-1984) and recovery (1985-2014) period over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (a):\r\nObserved (CRU TS) timeseries anomalies over 1920-2018 in respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N):\r\n - Data file: \r\nFig_10_11_panel-a_timeseries_obs.csv\r\n \r\n Panel (b):\r\nObserved (CRU TS) precipitation difference 1980-1990 mean - 1950-1960 mean:\r\n - Data file: \r\nFig_10_11_panel-b_mapplot_pr_change_CRU_single_mean.nc\r\n \r\n Panel (c):\r\nModel differences between 1.5x and 0.2x aerosol scalings over 1955-1984:\r\n - Data file: \r\nFig_10_11_panel-c_mapplot_pr_diff_SMURPHS_single_mean.nc\r\n \r\n Panel (d):\r\nModel timeseries anomalies over 1920-2018 respect to 1955-1984 average over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N) for CMIP6 hist all-forcings (red), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), CMIP6 hist-aer (grey) and CMIP6 hist-GHG (pale blue):\r\n - Data file: \r\nFig_10_11_panel-d_timeseries_cmip6.csv\r\n \r\n Panel (e):\r\nObserved and modelled OLS linear trends in relative precipitation anomalies (baseline 1955-1984) over decline (1955-1984) and recovery (1985-2014) period over the Sahel (lon: 20°W-30°E, lat: 10°N-20°N): observed data (GPCC, CRU TS: black crosses), 34 CMIP5 models (dark blue circles), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_11_panel-e_trends.csv;\r\n\r\nAcronyms: \r\nCMIP - Coupled Model Intercomparison Project, \r\nCRU TS- Climatic Research Unit Time Series, \r\nSMURPHS - Securing Multidisciplinary UndeRstanding and Prediction of Hiatus and Surge events, \r\nDAMIP - Detection and Attribution Model Intercomparison Project, \r\nGHG - Greenhouse Gases, \r\nGPCC - GLOBAL PRECIPITATION CLIMATOLOGY CENTRE, \r\nSMILEs -single model initial-condition large ensembles, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, \r\nOLS - ordinary least squares regression. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34620, "uuid": "b981b3f983df4aa48a16ddbe3d8bf38d", "short_code": "ob", "title": "Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.12 (v20220622)", "abstract": "Data for Figure 10.12 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 10.12 shows Southeastern South America positive mean precipitation trend and its drivers during 1951-2014.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nDoblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 4 subpanels. Data for 3 subpanels (b-d) is provided. Subpanel (a) is a schematic.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n The data is annual December-Jannuary (DJF) precipitation means for:\r\n \r\n - Observed and model relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)\r\n - Observed precipitation trends 1951-2014 South America\r\n - Trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel (b):\r\nObserved (CRU TS, black line, and CRU TS no-running mean (bars)) and Model (MPI-ESM runs with min (brown) and max (green) trends) precipitation rate relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W):\r\n - Data file: \r\nFig_10_12_panel-b_timeseries.csv\r\n \r\n Panel (c):\r\nObserved precipitation OLS linear trends 1951-2014 over South America:\r\n - Data files: \r\nFig_10_12_panel-c_mapplot_pr_trend_CRU_single_trend.nc, \r\nFig_10_12_panel-c_mapplot_pr_trend_GPCC_single_trend.nc \r\n \r\n Panel (d):\r\nOLS linear trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W): observed data (GPCC, CRU TS: black crosses), individual members of CMIP6 historical (red circles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):\r\n - Data file: \r\nFig_10_12_panel-d_trends.csv\r\n\r\n\r\nAcronyms: \r\nCRU TS- Climatic Research Unit Time Series, \r\nCMIP - Coupled Model Intercomparison Project, \r\nSMILEs -single model initial-condition large ensembles, \r\nMIROC - Model for Interdisciplinary Research on Climate, \r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation, \r\nMPI - Max-Planck-Institut für Meteorologie, \r\nESM - Earth System Model, \r\nd4PDF - Database for Policy Decision-Making for Future Climate Change, OLS - ordinary least squares regression. \r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The code for ESMValTool is provided.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 10)\r\n - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11\r\n - Link to the code for the figure, archived on Zenodo." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145966, 145965, 145964, 145971, 145970, 145969, 145968, 145967, 145972, 168299, 145973 ], "onlineresource_set": [ 42846, 80258 ], "project_set": [ 32705 ] }, { "ob_id": 32727, "uuid": "81fbb6ae0c4e4504bc554fa7f8dcca7d", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 11: Weather and climate extreme events in a changing climate", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 11: Weather and climate extreme events in a changing climate.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\n- data for Figure FAQ 11.1, Figure 1\r\n- data for Figure 11.3\r\n- data for Figure 11.11\r\n- data for Figure 11.16\r\n- data for Figure 11.19\r\n- data for Figure 11.A.1", "keywords": "IPCC, AR6, WG1, Chapter 11", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:27:35", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37647, "uuid": "f218301d1f4a46f1bf27023a77a58639", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 11.1, figure 1 (v20220629)", "abstract": "Data for FAQ 11.1 , figure 1 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFAQ 11.1, figure 1 shows global maps of future changes in surface temperature and precipitation for long-term average and extreme conditions.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Summer mean temperature (days) change (relative to 1850-1900)\r\n - Annual maximum temperature (°C) change (relative to 1850-1900)\r\n - Summer mean precipitatioin (%) change (relative to 1850-1900)\r\n - Annual maximum daily precipitation (%) change (relative to 1850-1900)\r\n\r\n The data is given at a global warming levels (GWL) of +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - FAQ_11_1_Figure_1a_cmip6_summer_temperature_change_at_4_0C.nc: simulated summer mean temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - FAQ_11_1_Figure_1b_cmip6_TXx_change_at_4_0C.nc: simulated annual maximum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - FAQ_11_1_Figure_1c_cmip6_summer_prec_change_at_4_0C.nc: simulated summer mean precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel d:\r\n - FAQ_11_1_Figure_1d_cmip6_Rx1day_change_at_4_0C.nc: simulated annual maximum daily precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34643, "uuid": "3f415b44b4334725bfcc572c9246aa60", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.11 (v20220117)", "abstract": "Data for Figure 11.11 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nProjected changes in annual maximum temperature (TXx) and annual minimum temperature (TNn) at 1.5°C, 2°C, and 4°C of global warming compared to the 1850-1900 baseline.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSeneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum temperature (°C) change (relative to 1850-1900)\r\n - Annual minimum temperature (°C) change (relative to 1850-1900)\r\n The data is given for global warming levels (GWLs), namely +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Figure_11.11a_cmip6_TXx_change_at_1.5C.nc: simulated annual maximum temperature change (°C) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11.11b_cmip6_TXx_change_at_2.0C.nc: simulated annual maximum temperature change (°C) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11.11c_cmip6_TXx_change_at_4.0C.nc: simulated annual maximum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n Panel d:\r\n - Figure_11.11d_cmip6_TNn_change_at_1.5C.nc: simulated annual minimum temperature change (°C) at 1.5°C global warming relative to 1850-1900\r\n Panel e:\r\n - Figure_11.11e_cmip6_TNn_change_at_2.0C.nc: simulated annual minimum temperature change (°C) at 2.0°C global warming relative to 1850-1900\r\n Panel f:\r\n - Figure_11.11f_cmip6_TNn_change_at_4.0C.nc: simulated annual minimum temperature change (°C) at 4.0°C global warming relative to 1850-1900\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 34640, "uuid": "e7c78370837d4f85be6a1f0cbe288a92", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.16 (v20220117)", "abstract": "Data for Figure 11.16 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nProjected changes in annual maximum daily precipitation at 1.5°C, 2°C, and 4°C of global warming compared to the 1850-1900 baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nSeneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, with data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum daily precipitation change (%) (relative to 1850-1900)\r\n The data is given for global warming levels (GWLs), namely +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Figure_11_16a_cmip6_Rx1day_change_at_1_5C.nc: simulated annual maximum daily precipitation change (%) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11_16b_cmip6_Rx1day_change_at_2_0C.nc: simulated annual maximum daily precipitation change (%) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11_16c_cmip6_Rx1day_change_at_4_0C.nc: simulated annual maximum daily precipitation change (%) at 4.0°C global warming relative to 1850-1900\r\n\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project, SSP - Shared Socioeconomic Pathways\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37650, "uuid": "592748a417ab4efca4eb98e22c9dbec4", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.3 (v20220629)", "abstract": "Data for Figure 11.3 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.3 shows regional mean changes in annual hottest daily maximum temperature (TXx) for AR6 land regions and the global land, against changes in global mean surface air temperature (GSAT) as simulated by CMIP6 models under different forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels in one single file.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Annual maximum temperature change (°C) as a function of global warming levels (GWLs) relative to 1850-1900 for the IPCC climate reference regions (Iturbide et al., 2020)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure_11_3_cmip6_TXx_scaling.nc: data for panels (a) through (l)\r\n\r\nSSP stands for Shared Socioeconomic Pathway and RCP stands for Representative Concentration Pathway.\r\nSSP1-1.9 and SSP1-2.6 are based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges. SSP1-1.9 is based on RCP1.9, a future pathway with a radiative forcing of 1.9 W/m2 in the year 2100 and SSP1-2.6 is based on RPC2.6.\r\nSSP2-4.5 is based on Shared Socioeconomic Pathway SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP3-7.0 is based on SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a): shows the individual ensemble members and the median of three SSPs. Other panels show the multi model median (over the 'mod_ens' dimension). The regions 'global', 'ocean', 'land', 'GIC', 'EAN', and 'WAN' are not shown in the figure.\r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (Chapter 11)\r\n- Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n- Link to the code for the figure, archived on Zenodo\r\n- Link to the Ch11 GitHub repository containing scripts for generating figures" }, { "ob_id": 37653, "uuid": "7be388b022e74926b0103125d22e6b06", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.19 (v20230203)", "abstract": "Data for Figure 11.19 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.19 shows projected changes in the number of consecutive dry days (CDD), annual mean soil moisture over the total column, and the frequency and intensity of one-in-ten year soil moisture (SM) drought for the June-to-August and December-to-February seasons at 1.5°C, 2°C, and 4°C of global warming compared to the 1851-1900 baseline.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Annual consecutive dry days change (days) (relative to 1850-1900)\r\n - Annual total column soil moisture (std) (relative to 1850-1900)\r\n - July-to-August frequency of 1-in-10 year soil moisture drought change (-) (relative to 1850-1900)\r\n - December-to-February frequency of 1-in-10 year soil moisture drought change (-) (relative to 1850-1900)\r\n\r\n\r\nThe data is given for global warming levels (GWLs), namely +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Figure_11_19a_cmip6_CDD_change_at_1_5C.nc: simulated consecutive dry days change (days) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel b:\r\n - Figure_11_19b_cmip6_CDD_change_at_2_0C.nc: simulated consecutive dry days change (days) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel c:\r\n - Figure_11_19c_cmip6_CDD_change_at_4_0C.nc: simulated consecutive dry days change (days) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel d:\r\n - Figure 11_19d_cmip6_SM_total_change_at_1_5C.nc: simulated total column soil moisture change (std) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel e:\r\n - Figure 11_19e_cmip6_SM_total_change_at_2_0C.nc: simulated total column soil moisture change (std) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel f:\r\n - Figure 11_19f_cmip6_SM_total_change_at_4_0C.nc: simulated total column soil moisture change (std) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel g:\r\n - Figure_11_19g_JJA_cmip6_SM_drought_index_change_at_1_5C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought change (-) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel h:\r\n - Figure_11_19h_JJA_cmip6_SM_drought_index_change_at_2_0C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought change (-) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel i:\r\n - Figure_11_19i_JJA_cmip6_SM_drought_index_change_at_4_0C.nc: simulated July-to-August frequency of 1-in-10 year soil moisture drought (-) at 4.0°C global warming relative to 1850-1900\r\n \r\n Panel j:\r\n - Figure_11_19j_cmip6_DJF_SM_drought_index_change_at_1_5C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 1.5°C global warming relative to 1850-1900\r\n \r\n Panel k:\r\n - Figure_11_19k_cmip6_DJF_SM_drought_index_change_at_2_0C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 2.0°C global warming relative to 1850-1900\r\n \r\n Panel l:\r\n - Figure_11_19l_cmip6_DJF_SM_drought_index_change_at_4_0C.nc: simulated December-to-February frequency of 1-in-10 year soil moisture drought change (-) at 4.0°C global warming relative to 1850-1900\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure\r\n---------------------------------------------------\r\nFor panels g to l the data should be plotted with a logarithmic colormap. Note that grid cells with no change (0) have been replaced by 10^-5 such that the logarithm is defined.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37656, "uuid": "2f63e632dc3a494696b1b1315cbb531e", "short_code": "ob", "title": "Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.A.1 (v20220629)", "abstract": "Data for Figure 11.A.1 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 11.A.1 shows regional mean changes in annual minimum temperature (TNn) for AR6 land regions and the global land, against changes in global mean surface air temperature (GSAT) as simulated by CMIP6 models under different forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1513–1766, doi:10.1017/9781009157896.013.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Annual minimum temperature change (°C) as a function of global warming levels (GWLs) relative to 1850-1900 for the IPCC climate reference regions (Iturbide et al., 2020)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Figure_11_A_1_cmip6_TNn_scaling.nc: data for panels (a) through (l)\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel (a): shows the individual ensemble members and the median of three SSPs. Other panels show the multi model median (over the 'mod_ens' dimension). The regions 'global', 'ocean', 'land', 'GIC', 'EAN', and 'WAN' are not shown in the figure.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 11)\r\n - Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9\r\n - Link to the Ch11 GitHub repository containing scripts for generating figures\r\n - Link to the code for Chapter 11 figures, archived on Zenodo." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145982, 145981, 145980, 145979, 145978, 145977, 145976, 145975, 145983, 168302, 145984 ], "onlineresource_set": [ 42847, 80259 ], "project_set": [ 32705 ] }, { "ob_id": 32728, "uuid": "cab668573a8d45ce9d0efc6b762cf454", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 12: Climate change information for regional impact and for risk assessment", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 12: Climate change information for regional impact and for risk assessment.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 12.4\r\n- input data for Figure 12.5\r\n- input data for Figure 12.6\r\n- input data for Figure 12.7\r\n- input data for Figure 12.8\r\n- input data for Figure 12.9\r\n- input data for Figure 12.10\r\n- input data for Figure 12.SM.1\r\n- input data for Figure 12.SM.2\r\n- input data for Figure 12.SM.3\r\n- input data for Figure 12.SM.4\r\n- input data for Figure 12.SM.5\r\n- input data for Figure 12.SM.6", "keywords": "IPCC, AR6, WG1, Chapter 12", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:27:12", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37868, "uuid": "38e7a3f35ced465283debd6cac1cae50", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.6 (v20220808)", "abstract": "Data for Figure 12.SM.6 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.6 shows regional projections of extreme sea level (1-in-100 year return period extreme total water level). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 39 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the changes in mean wind speed in percentage of the recent past value (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.6\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in four json files (Vousdoukas et al 2018 dataset) and one csv file (Kiresci et al 2020:\r\n\r\n- Vousdoukas_ETWL_by_AR6_region_${scenario}_${horizon}.json: contains the regional averages (median and 5th/95th percentiles uncertainty range) for the Vousdoukas et al 2018 dataset for the horizon ${horizon} (2050 or 2100) and the scenario ${scenario} (RCP45 or RCP85)\r\n\r\n- Vousdoukas_ETWL_by_AR6_region_modern.json contains the regional averages for the recent past period (median and 5th/95th percentiles uncertainty range) for the Vousdoukas et al 2018 dataset \r\n\r\n- Kirezci_ESL.csv contains the regional averages of the Kirezci et al (2020) dataset for future horizons and recent past (median and 5th/95th percentiles uncertainty range)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37871, "uuid": "8c58b12e8fd541428b1b25b0d572ce94", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.4 (v20220808)", "abstract": "Data for Figure 12.SM.4 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.4 shows regional projections for changes in soil moisture for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n This figure has 41 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nThis figure has 41 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.4\r\n \r\nThe regional averages of the changes in soil moisture in percentage of the recent past value for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_SM_diff_perc2020_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_SM_diff_perc2020_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_SM_diff_perc2020_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37849, "uuid": "91c218d3a80f4c43ac665d0bdf0ed5e7", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.5 (v20220804)", "abstract": "Input Data for Figure 12.5 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.5 shows projected changes in selected climatic impact-driver indices for Africa.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Africa of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Africa (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Africa of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Africa of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nSAH, ARP, WAF, CAF, NEAF, SEAF, WSAF, ESAF, MDG, NEU, WCE and MED are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.5:\r\n\r\n Panel a:\r\n - Q100_map_panel_a_AFR_less_MED_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the data is from the AFR CORDEX domain, without the MED AR6 region\r\n - Q100_map_panel_a_MED_for_AFR_from_EUR_divdra.nc: same as previous file but for the MED AR6 region, taken from the EUR CORDEX domain\r\n\r\n Panel b:\r\n - CoastalRecession_AFRICA_RCP85_2100.json: pointwise values (color points on the map) for Africa of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\n Panel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\n Panel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nCORDEX is Coordinated Regional Downscaling Experiment from the WCRP. \r\nWCRP is the World Climate Research Programme. SSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script ch12_fig12.5_plotting_code_Q100_AFR.py (see data tables and code on Github) draws the rivers and uses a subroutine (dranetwrite) to identify the rivers to plot them individually with lines, using the data from the Q100_map_panel_a_AFR_less_MED_divdra.nc and Q100_map_panel_a_MED_for_AFR_from_EUR_divdra.nc netcdf files; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n For panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n- Link to the Chapter 12 GitHub repository" }, { "ob_id": 37869, "uuid": "8418e1f0c9d64a758490a14daeb22574", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.5 (v20220808)", "abstract": "Data for Figure 12.SM.5 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.5 shows regional projections for changes in mean wind speed for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the changes in mean wind speed in percentage of the recent past value (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.5\r\n \r\nThe regional averages of the changes in mean wind speed in percentage of the recent past value for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_sfcWind_diff-perc-baseline_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37875, "uuid": "156e4a10ddfb418aa24aadf244fbadf6", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.1 (v20220808)", "abstract": "Data for Figure 12.SM.1 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.1 shows regional projections for the number of days per year with maximum temperature exceeding 35°C for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of days per year with maximum daily temperature exceeding 35°C (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.1:\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_tx35isimip_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_tx35isimip_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_tx35isimip_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37903, "uuid": "0b5c980aa58447508eccdda79554b2b7", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.8 (v20220804)", "abstract": "Input Data for Figure 12.8 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.8 shows projected changes in selected climatic impact-driver indices for Central and South America.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over South-America and Central-America of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n\r\n- Shoreline position change over South-America (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\n- regional averages in South-America and Central-America of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n- regional averages in South-America and Central-America of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nNWS, NSA, SAM, NES, SWS, SES, SSA, CAR and SCA are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.8:\r\n\r\nPanel a:\r\n\r\n- Q100_map_panel_a_SAM_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the SAM CORDEX domain\r\n\r\n- Q100_map_panel_a_CAM_for_SAM_divdra.nc: same as previous file for the regions from the CAM CORDEX domain\r\n\r\nPanel b:\r\n\r\n- CoastalRecession_SOUTH-AMERICA_RCP85_2100.json: pointwise values (color points on the map) for South-America and Central-America of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n\r\n- txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2081-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\n- txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n\r\n- globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nCORDEX is Coordinated Regional Downscaling Experiment from the WCRP. \r\nWCRP is the World Climate Research Programme. SSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nFor panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12GitHub repository" }, { "ob_id": 37855, "uuid": "7c2c37c3c5d14aac87377c7673e35a0b", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.9 (v20220804)", "abstract": "Input Data for Figure 12.9 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.9 shows projected changes in selected climatic impact-driver indices for Europe.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Europe of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - spatial field of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n - the associated mask showing the areas with more than 80% of model agreement in the sign of change\r\n - regional averages in Europe of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and EURO-CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n The grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nNEU, WCE and MED are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.9:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_EUR_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2014 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the EUR CORDEX domain\r\n\r\n Panel b:\r\n - SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial field (colors) of changes of number of days per year with snow water equivalent over 100mm (SWE100) from EURO-CORDEX models for 2041-2060 relative to 1995-2014 for RCP8; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero\r\n - mask_80perc-agreement_SWE_panel_b_RCP85_mce_minus_baseline.nc: spatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: 1 where true, 0 where false\r\n \r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 or 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n \r\nPanel d:\r\n - CMIP5_EUR-11_snw_mask14_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in Europe for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2099) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n - EURO-CORDEX_SWE_mask14_AR6_regional_averages.json: same as previous file for the EURO-CORDEX multimodel ensemble\r\n - CMIP6_EUR-11_snw_mask14_AR6_regional_averages.json: same as previous file for CMIP6 (ssp126 instead of RCP2.6 and ssp585 instead of RCP8.5)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\nSSP stands for Shared Socioeconomic Pathway. \r\n\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\n\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n\r\nRCP stands for Representative Concentration Pathway. \r\n\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37873, "uuid": "660a0224eee04d0880b78f538510f416", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.2 (v20220808)", "abstract": "Data for Figure 12.SM.2 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.2 shows regional projections for the number of days per year with NOAA Heat Index exceeding 41°C for different scenarios, time horizons and global warming levels. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of days per year with NOAA Heat Index exceeding 41°C (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.2\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_HI41_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_HI41_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_HI41_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n NOAA is the National Oceanic and Atmospheric Administration.\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37861, "uuid": "d46d733725d64f45afc1e70054f2f51d", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.6 (v20220804)", "abstract": "Input Data for Figure 12.6 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.6 shows projected changes in selected climatic impact-driver indices for Asia.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Asia of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Asia (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Asia of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Asia of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nTIB, ECA, EAS, SEA, ARP and SAS are domains used in the model.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.6:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_EAS_for_ASIA_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the EAS CORDEX domain\r\n - Q100_map_panel_a_SEA_for_ASIA_divdra.nc: same as previous file for the regions from the SEA CORDEX domain\r\n - Q100_map_panel_a_WAS_for_ASIA_divdra.nc: same as previous file for the regions from the WAS CORDEX domain\r\n \r\nPanel b:\r\n - CoastalRecession_ASIA_RCP85_2100.json: pointwise values (color points on the map) for Asia of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n \r\nPanel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 12 GitHub repository" }, { "ob_id": 37852, "uuid": "537b22f0230448fdb9a4ec806ed54d84", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.7 (v20220804)", "abstract": "Input Data for Figure 12.7 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.7 shows projected changes in selected climatic impact-driver indices for Australasia.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over Australasia of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - Shoreline position change over Australasia (pointwise) along sandy coasts by the year 2100 relative to 2010 (meters; negative values indicate shoreline retreat) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n - regional averages in Australasia of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages in Australasia of CMIP5 based projections (mean change estimates and bars the 5th-95th percentile range of associated uncertainty) of shoreline position change along sandy coasts for 2050 and 2100 relative to 2010 for RCP8.5 and RCP4.5 from Vousdoukas et al. (2020)\r\n\r\nNAU, CAU, EAU, SAU and NZ are domains used in the model.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.7:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_AUS_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2015 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the AUS CORDEX domain\r\n\r\nPanel b:\r\n - CoastalRecession_Australasia_RCP85_2100.json: pointwise values (color points on the map) for Australasia of shoreline position mean changes between 2100 (long-term) and 2010 (recent past) from the CMIP5 based data set presented by Vousdoukas et al. (2020)\r\n\r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2080-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n - globalErosionProjections_by_AR6_region_${scenario}_${horizon).json: regional averages of shoreline position changes for Africa, for the RCP4.5 and RCP8.5 scenarios (${scenario} = RCP45 and ${scenario} = RCP85 respectively) and the 2050 (mid-term, in blue) and 2100 (long-term, in red) future horizons (${horizon}=2050 and ${horizon}=2100 respectively) against the recent past period (2010); the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars)\r\n\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\nSSP stands for Shared Socioeconomic Pathway. \r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\nRCP stands for Representative Concentration Pathway. \r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo.\r\n- Link to the Chapter 12 GitHub repository" }, { "ob_id": 37858, "uuid": "b6a36a7fe12644bfa28bc4ec8bfcb028", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 12.10 (v20220804)", "abstract": "Input Data for Figure 12.10 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.10 shows projected changes in selected climatic impact-driver indices for North-America.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with general data provided in the central directory and specific data in 3 folders (Q100_CMIP5, Q100_CMIP6, Q1000_CORDEX-core).\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - spatial field over North-America of mean change in 1-in-100 year river discharge per unit catchment area (Q100, m3 s-1 km-2) from CORDEX models for 2041-2060 relative to 1995-2014 for RCP8.5\r\n - spatial field of changes of number of days per year with snow water equivalent over 100mm (SWE100) from CORDEX-core models for 2041-2060 relative to 1995-2014 for RCP8.5; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n - the associated mask showing the areas with more than 80% of model agreement in the sign of change\r\n - regional averages in North-America of Q100 (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n - regional averages of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for:\r\n - CMIP6 historical, ssp126 and ssp585\r\n - CMIP5 and CORDEX-core historical, RCP2.6 and RCP8.5\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n The grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nCAR, SCA, NWN, NEN, WNA, CNA, ENA and NCA are domains used in the model. \r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.9:\r\n \r\nPanel a:\r\n - Q100_map_panel_a_NAM_divdra.nc: Field (colors plotted on the map) of changes of 1-in-100yr river discharge per unit catchment area between 2041-2060 (mid-term) and 1995-2014 (recent past) for CORDEX RCP8.5; the file contains the data for the regions from the NAM CORDEX domain\r\n - Q100_map_panel_a_CAM_for_NAM_divdra.nc: same as above for the CAM CORDEX domain\r\n\r\n Panel b:\r\n - SWE_panel_b_RCP85_2041-2060_minus_1995-2014.nc: spatial field (colors) of changes of number of days per year with snow water equivalent over 100mm (SWE100) from CORDEX-core NAM-22 models for 2041-2060 relative to 1995-2014 for RCP8; the grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero\r\n - mask_80perc-agreement_SWE_panel_b_RCP85_2041-2060_minus_1995-2014.nc: spatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: 1 where true, 0 where false\r\n \r\nPanel c:\r\n - txt files containing the median and 5th/95th percentiles of each ensemble of the 1-in-100yr river discharge per unit catchment area (Q100) regional averages of time slices: Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${scenario}: the name of the scenario : ssp126, ssp585, rcp26, rcp85\r\n - ${period}: the explicit period used to compute the temporal average: 1995-2014 (recent past), 2041-2060 (mid-term) and 2081-2099 (long term)\r\n - ${CORDEX_domain}: the CORDEX domain\r\n - txt files containing the Q100 regional averages of global warming levels: Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt, with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 and 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nPanel d:\r\n- CMIP5_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP6_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: same as previous file for CMIP6 (ssp126 instead of RCP2.6 and ssp585 instead of RCP8.5) - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- NAM-22_CORDEX_NORTH-AMERICA_snw_mask14_AR6_regional_averages.json: same as previous file for the CORDEX-core NAM-22 multimodel ensemble - grid points with less than 14 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\n- NAM-22_CORDEX_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: same as previous file for the CORDEX-core NAM-22 multimodel ensemble, but grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP5_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n- CMIP6_NORTH-AMERICA_snw_mask30_AR6_regional_averages.json: regional averages for the CMIP5 multimodel ensemble of number of days per year with snow water equivalent over 100mm (SWE100) in North-America for recent past (1995-2014), mid-term (2041-2060) long-term (2081-2100) for RCP2.6 and RCP8.5, and for three global warming levels: 1.5, 2 and 4; the file contains the median (dots in the subpanels) and the 5th (q5) and 95th (q95) uncertainty estimates (used to plot the vertical bars) - grid points with less than 30 days per year with SWE100 during the reference (recent past) period are put to zero.\r\n\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project. \r\n\r\nSSP stands for Shared Socioeconomic Pathway. SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6. \r\n\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n\r\nRCP stands for Representative Concentration Pathway. \r\n\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For panel a, the plotting script (see data tables and code on Github) draws the rivers and uses a subroutine to identify the rivers to plot them individually with lines; plotting the Q100 netcdf file will produce dots (and not rivers).\r\n\r\n\r\nFor panel c, the recent past values are plotted as absolute values (left column on each regional subpanel) and the future changes are plotted as differences against the recent past values (differences are computed when plotting the values).\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12 GitHub repository." }, { "ob_id": 37872, "uuid": "e8975cc3195b487d9ec482cb8ef5f07d", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.SM.3 (v20220808)", "abstract": "Data for Figure 12.SM.3 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 12.SM.3 shows regional projections for the number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index for different scenarios, time horizons and global warming levels.. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nRanasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Available from https://www.ipcc.ch/\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThis figure has 43 subpanels (AR6 regions). \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- regional averages over 43 AR6 regions of the number of negative precipitation anomaly events per decade (median value and the 10th-90th percentile range of model ensemble values across each model ensemble) over land areas for the WGI reference AR6 regions (defined in Chapter 1) for:\r\n\r\n - CMIP6 historical, ssp126 and ssp585\r\n\r\n - CMIP5 and CORDEX historical, RCP2.6 and RCP8.5\r\n\r\n - for the ‘recent past’ (1995-2014), mid-term (2041-2060) and long-term (2081-2100) time periods\r\n\r\n - and for three global warming levels (defined relative to the preindustrial period 1850-1900): 1.5°C, 2°C and 4°C\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 12.SM.3\r\n \r\nThe regional averages for all the subpanels (AR6 regions) are stored in three json files:\r\n\r\n- CMIP5_DF6_AR6_regional_averages.json: data for the CMIP5 multi-model ensemble\r\n\r\n- CMIP6_DF6_AR6_regional_averages.json: data for the CMIP6 multi-model ensemble\r\n\r\n- CORDEX_DF6_AR6_regional_averages.json: data for the CORDEX multi-model ensemble\r\n\r\nThe content of the files is organized as follows:\r\n\r\n - level 1 key:\r\n - GWL: string: 1.5, 2, 3, 4\r\n or\r\n - name of the time slice: baseline or ${scenario}_${horizon}, with:\r\n - ${scenario}: the scenario: ssp126 or ssp585 for CMIP6, rcp26 or rcp85 for CMIP5 and CORDEX\r\n - ${horizon}: mid (mid-term) or far (long-term)\r\n - level 2 keys: name of the AR6 region\r\n - value: list with:\r\n - first element: the multi-model ensemble 10th percentile (lower bounds of the vertical lines)\r\n - second element: the multi-model ensemble median (the dots)\r\n - third element: the multi-model ensemble 90th percentile (upper bounds of the vertical lines)\r\n\r\n CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\n CMIP6 is the sixth phase of the Coupled Model Intercomparison Project\r\n CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\n SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\n SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5. \r\n RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100. \r\n RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nJupyter notebooks containing the data files and code used to plot this figure are stored in the 'scripts' GitHub repository linked in the documentation. \r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n- Link to the master GitHub repository containing the Juptyer notebooks to run the code for the figure, as well as the other figures in Chapter 12.\r\n- Link to the code for the figure, archived on Zenodo." }, { "ob_id": 37889, "uuid": "b96e2225918348e1ae47b1fedee881a6", "short_code": "ob", "title": "Chapter 12 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 12.4 (v20220623)", "abstract": "Data for Figure 12.4 from Chapter 12 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 12.4 shows median projected changes in selected climatic impact-driver indices based on CMIP6 models for ssp126 and ssp585 scenarios, and RCP4.5 and RCP8.5 scenarios (for extreme total water level), for mid-term and long-term (relative to recent past).\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Ranasinghe, R., A.C. Ruane, R. Vautard, N. Arnell, E. Coppola, F.A. Cruz, S. Dessai, A.S. Islam, M. Rahimi, D. Ruiz Carrascal, J. Sillmann, M.B. Sylla, C. Tebaldi, W. Wang, and R. Zaaboul, 2021: Climate Change Information for Regional Impact and for Risk Assessment. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1767–1926, doi:10.1017/9781009157896.014.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 18 panels (panel a to panel r), with data provided for all panels in the 12.4 figure directory; for each panel, the panel name is indicated in the file name with panel_X (with X being panel letter between a and r).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains median projected changes in selected climatic impact-driver indices based on CMIP6 models for ssp126 and ssp585 scenarios for mid-term (2041-2060) and long-term (2081-2100), relative to recent past (1995-2014), and their associated masks of model agreement (with values -1 where at least 80% of the models agree in the sign of change, 0 elsewhere) for:\r\n \r\n - the mean number of days per year with maximum temperature exceeding 35°C\r\n - the mean number of days per year with NOAA Heat Index over 41°C\r\n - the number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index\r\n - the mean soil moisture\r\n - the mean surface wind speed\r\n \r\n It also contains the files of global projected median extreme total water level for CMIP5 RCP4.5 and RCP8.5 scenarios covering both mid-term (2041-2060) and long-term (2081-2100) horizons, and one for the recent past. The data is organized as points with their associated lon/lat coordinates.\r\n\r\nNOAA stands for the US National Oceanic and Atmospheric Administration.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nPlease note the following filenames have been changed to ensure continuity with filenames on GitHub repository:\r\npanel p (ETWL):\r\n- panel_p_globalTWL_RCP45.nc -> globalTWL_RCP45.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\npanel q (ETWL):\r\n- panel_q_globalTWL_RCP45.nc -> globalTWL_RCP85.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\npanel r (ETWL):\r\n- panel_r_globalTWL_RCP45.nc -> globalTWL_RCP85.nc\r\n- panel_p_q_r_globalTWL_baseline.nc -> globalTWL_baseline.nc\r\n\r\nData provided in relation to Figure 12.4:\r\n\r\nPanels a-c (tx35) where X is replaced with a,b or c:\r\n- 'tx35_panel_X_ssp126_2081-2100_minus_baseline.nc' :\r\nglobal spatial field of changes in mean number of days per year with maximum temperature exceeding 35°C for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_tx35_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanels d-f (HI41) where X is replaced with d,e or f:\r\n- 'HI41_panel_X_ssp126_2081-2100_minus_baseline.nc' :\r\nglobal spatial field of changes in mean number of days per year with NOAA Heat Index over 41°C for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_HI41_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel g-i (DF6) where X is replaced with g, h or i:\r\n- 'DF6_panel_X_ssp126_farch_minus_baseline.nc' : \r\nglobal spatial field of changes in number of negative precipitation anomaly events per decade using the 6-month Standardised Precipitation Index for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_DF6_panel_X_ssp126_farch_minus_baseline.nc' : \r\nspatial mask (for hatching) showing where at least :80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel j-l (SM) where X is replaced with j, k or l:\r\n- 'SM_panel_X_ssp126_2081-2100_minus_baseline.nc' : \r\nglobal spatial field of changes in mean soil moisture for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_SM_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\n\r\nPanels m-o (sfcWind) where X is replaced with m, n or o:\r\n- 'sfcWind_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nglobal spatial field of changes in mean surface wind speed for CMIP6 ssp126 ensemble median, long-term (colors)\r\n- 'mask_80perc-agreement_sfcWind_panel_X_ssp126_2081-2100_minus_baseline.nc': \r\nspatial mask (for hatching) showing where at least 80% of the models agree in terms of sign of change (negative change, positive change or zero change); values are: -1 where true, 0 where false\r\n\r\n\r\nPanel p (ETWL):\r\n- globalTWL_RCP45.nc; global spatial field of median extreme sea level for CMIP5 RCP4.5, long-term (colors); long-term corresponds to decades=2100 in the file\r\n\r\nPanels q and r (ETWL):\r\n- globalTWL_RCP85.nc; global spatial field of median extreme sea level for RCP8.5, mid-term and long-term (colors)\r\n\r\nPanels p, q and r (ETWL):\r\n- globalTWL_baseline.nc; global spatial field of median extreme sea level for baseline\r\n\r\nFor panels p, q and r:\r\n- the data shown on the plot is the difference between the future projections (globalTWL_RCP45.nc and globalTWL_RCP85.nc) and the baseline (globalTWL_baseline.nc)\r\n- the variable used is TWL; it is three dimensional: npoints, npercentiles (value given by variable percentile(npercentiles)), nsdec (value given by variable decades(nsdec))\r\n- we use percentile=50\r\n- mid-term corresponds to decades=2050\r\n- long-term corresponds to decades=2100\r\n- the baseline file has no time (decades) dimension\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure\r\n---------------------------------------------------\r\nScripts for plotting figure panels can be found in the dedicated Chapter 12 GitHub repository which is linked in the Related Documents section of this catalogue record. Code used for the figure is archived on Zenodo.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 12)\r\n - Link to the Supplementary Material for Chapter 12, which contains details on the input data used in Table 12.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the Chapter 12 GitHub repository" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 145998, 145997, 145996, 145995, 145994, 145993, 145992, 145991, 145999, 168304, 146000, 146001 ], "onlineresource_set": [ 80261, 80260 ], "project_set": [ 32705 ] }, { "ob_id": 32729, "uuid": "ae4f1eb6fce24adcb92ddca1a7838a5c", "short_code": "coll", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nWhen using the datasets from this collection please use the citation indicated on each individual specific dataset, rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure SPM.1\r\n- data for Figure SPM.2\r\n- data for Figure SPM.3\r\n- data for Figure SPM.4\r\n- data for Figure SPM.5\r\n- data for Figure SPM.6\r\n- data for Figure SPM.7\r\n- data for Figure SPM.8\r\n- data for Figure SPM.9\r\n- data for Figure SPM.10", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, SPM, Sixth Assessment Report, Working Group I, Physical Science Basis, Summary for Policymakers, Intergovernmental Panel on Climate Change", "publicationState": "published", "dataPublishedTime": "2021-08-09T08:04:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32935, "uuid": "c1eb6dad1598427f8f9f3eae346ece2f", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.2 (v20210809)", "abstract": "Data for Figure SPM.2 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.2 relates to assessed contributions to observed warming.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n This data set contains:\r\n\r\n- Observed warming (2010-2019 relative to 1850-1900)\r\n - Aggregated contributions to 2010-2019 warming relative 1850 -1900, assessed from attribution studies\r\n - Contributions to 2010-2019 warming relative to 1850-1900, assessed from radiative studies\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\n Panel a:\r\n\r\n- Data file: panel_a/SPM2a.csv (Observed warming). Mean value is used for the bar plot and top and bottom values are used for the error bars and they represent borders of the very likely range.\r\n\r\nPanel b:\r\n\r\n - Data file: panel_b/SPM2b.csv (Aggregated contributions assessed from attribution studies). Mean values are used for the bar plot and top and bottom values are used for the error bars and represent the borders of the very likely range\r\n\r\nPanel c:\r\n\r\n - Data file: panel_c/SPM2c_data.csv (Contributions assessed from radiative studies). Total global surface air temperature (GSAT) effect values are used for the bar plots and 5% and 95% very likely limit values are used for the error bars.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapters 3, 6 and 7, which contain details on the input data used in Tables 3.SM.1 (Figure 3.8), 6.SM.1 (Figure 6.12) and 7.SM.14 (Figure 7.7)." }, { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.8 (v20210809)", "abstract": "Data for Figure SPM.8 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.8 shows selected indicators of global climate change under the five core scenarios used in this report.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n ---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d and panel_e.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global Surface Air Temperature (GSAT) anomalies relative to 1850-1900 (20 year means)\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 September sea-ice area\r\n - Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global ocean surface pH\r\n - Historical sea level relative to 1900 from gauges (to 1992) and altimeters (1993 on) (offset 0.158 m vs. 1995-2014)\r\n - AR6 sea level projections relative to 1900 (offset 0.158 m vs. 1995-2014)\r\n - AR6 assessed global mean sea level at 2300 relative to 1900 (offset 0.158 m vs. 1995-2014)\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a: Near-Surface Air Temperature\r\n\r\n - Data file: panel_a/tas_global_Historical.csv (black line and grey shading)\r\n - Data file: panel_a/tas_global_SSP1_1_9.csv (cyan line)\r\n - Data file: panel_a/tas_global_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_a/tas_global_SSP2_4_5.csv (orange line)\r\n - Data file: panel_a/tas_global_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_a/tas_global_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel b: Sea-Ice Area\r\n\r\n - Data file: panel_b/sia_arctic_september_Historical.csv (black line and grey shading)\r\n - Data file: panel_b/sia_arctic_september_SSP1_1_9.csv (cyan line)\r\n - Data file: panel_b/sia_arctic_september_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_b/sia_arctic_september_SSP2_4_5.csv (orange line)\r\n - Data file: panel_b/sia_arctic_september_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_b/sia_arctic_september_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel c: Ocean Surface pH\r\n\r\n - Data file: panel_c/phos_global_Historical.csv (black line and grey shading\r\n - Data file: panel_c/phos_global_SSP1_1_9.csv (cyan line\r\n - Data file: panel_b/phos_global_SSP1_2_6.csv (blue line and blue shading)\r\n - Data file: panel_c/phos_global_SSP2_4_5.csv (orange line)\r\n - Data file: panel_c/phos_global_SSP3_7_0.csv (red line and red shading)\r\n - Data file: panel_c/phos_global_SSP5_8_5.csv (brown line)\r\n\r\n\r\nPanel d: Sea Level\r\n\r\n - Data file: panel_d/global_sea_level_observed.csv (black line)\r\n - Data file: panel_d/global_sea_level_projected.csv (cyan, blue, orange, red and brown lines, red and blue shading)\r\n\r\n\r\nPanel e: Sea Level\r\n\r\n - Data file: panel_e: global_sea_level_2300_assessed.csv (columns 2 and 3, SSP1-2.6 scenario; columns 4 to 6 SSP5-8.5 scenario)\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n - Link to the report component containing the figure (Summary for Policymakers)" }, { "ob_id": 34591, "uuid": "e1ff6e07cd624c59a7e7983ce60add44", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.9 (v20220105)", "abstract": "Data for Figure SPM.9 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.9 provides a synthesis of the number of AR6 WGI reference regions where climatic impact-drivers are projected to change.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range\r\n---------------------------------------------------\r\n\r\nNumber of land & coastal regions and open-ocean regions where each Climatic Impact-Drivers (CID) is projected to increase or decrease with high confidence or medium confidence. Changes refer to a 20–30 year period centred around 2050 and/or consistent with 2°C global warming compared to a similar period within 1960-2014, except for hydrological drought and agricultural and ecological drought which is compared to 1850-1900. \r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in a single file named consolidated_data_figure_SPM9.csv\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains the number of AR6 WGI regions where climatic impact-drivers are projected to change if a global warming level of 2°C is reached compared to a climatological reference period included within 1960-2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData file: consolidated_data_figure_SPM.9.csv (count of regions with increasing or decreasing changes in climatic impact-drivers); relates to panel (a) and panel (b) and it's shown by the bars in the figure. The first row of data relates to the darker purple bars, the second row to the lighter purple bars, the third row to the lighter brown bars and the fourth row to the darker brown bars. Row 5 represents the maximum number of regions for which each climatic impact-driver is relevant. It is shown on the figure as the lighter-shaded ‘envelope’.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n - Link to origin of figure (IPCC WG1 Summary for Policy Makers)\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers)\r\n - Link to the Interactive Atlas webpage\r\n - Link to the figure on the IPCC AR6 website" }, { "ob_id": 32906, "uuid": "93d1b84fbb144901809eaf67b35eb5c4", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.6 (v20210809)", "abstract": "Data for Figure SPM.6 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.6 shows projected changes in the intensity and frequency of extreme temperature, extreme precipitation and droughts.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains:\r\n- Changes in annual maximum temperature (TXx) extremes for intensity (°C) and frequency (-) for 1 in 10 year and 1 in 50 year events (relative to 1850-1900)\r\n- Changes in annual maximum 1-day precipitation (Rx1day) extremes for intensity (%) and frequency (-) for 1 in 10 year events (relative to 1850-1900)\r\n- Changes in soil moisture-based drought events for intensity (standard deviation) and frequency (-) for 1 in 10 year events (relative to 1850-1900)\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\nPanel a:\r\n- Data file: panel_a/TXx_freq_change_10_year_event.csv ('Hot temperature extremes') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_a/TXx_intens_change_10_year_event.csv ('Hot temperature extremes') [column 2 dark bars, columns 5 and 6 light bars]\r\nPanel b:\r\n- Data file: panel_b/TXx_freq_change_50_year_event.csv ('Hot temperature extremes') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_b/TXx_intens_change_50_year_event.csv ('Hot temperature extremes') [column 2 dark bars, columns 5 and 6 light bars]\r\n \r\nPanel c:\r\n- Data file: panel_c/Rx1day_freq_change_10_year_event.csv ('Extreme precipitation over land') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_c/Rx1day_intens_change_10_year_event.csv ('Extreme precipitation over land') [column 2 dark bars, columns 5 and 6 light bars]\r\nPanel d:\r\n- Data file: panel_d/drought_freq_change_10_year_event.csv ('Drought') [column 2 dark dots, columns 5 and 6 light dots]\r\n- Data file: panel_d/drought_intens_change_10_year_event.csv ('Drought') [column 2 dark bars, columns 5 and 6 light bars]\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure from the provided data\r\n---------------------------------------------------\r\n- The 50th, 5th, and 95th percentiles are shown on the figure (lines on the bars).\r\n- The drought intensity shows 'drying' while the data file shows the change in soil moisture (i.e., a negative soil moisture change corresponds to a positive drying signal).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n - - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9. (Figures 11.15, 11.6, 11.7, 11.12, and 11.18)" }, { "ob_id": 34557, "uuid": "dc6c126c95b1445d8e66d6b9f62054d4", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.3 (v20221116)", "abstract": "Data for Figure SPM.3 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.3 shows the synthesis of assessed observed and attributable regional changes in hot extremes, heavy precipitation and agricultural and ecological droughts and confidence in human contribution to the observed changes in the world’s regions.\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nPanel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n\r\nPanel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica.\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\n\r\n·\tData file: 'SPM3_panel_a.csv' (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_b.csv' (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) .\r\n\r\n·\tData file: 'SPM3_panel_c.csv' (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) \r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nThe data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section.\r\n\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report component containing the figure (IPCC Report SPM)\r\n- Link to related publication for input data\r\n- Link to the webpage of the WGI report" }, { "ob_id": 32913, "uuid": "35a7ee81a50c4b95ab59f9bd128f9b63", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.9 (v20210809)", "abstract": "Data for Figure SPM.9 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.9 provides a synthesis of the number of AR6 WGI reference regions where climatic impact-drivers are projected to change.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range\r\n---------------------------------------------------\r\nChanges refer to a 20–30 year period centred around 2050 and/or consistent with 2°C global warming compared to a similar period within 1960-2014 or 1850-1900.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in a single file named consolidated_data_figure_SPM9.csv\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains the number of AR6 WGI regions where climatic impact-drivers are projected to change if a global warming level of 2°C is reached compared to a climatological reference period included within 1960-2014.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nData file: consolidated_data_figure_SPM.9.csv (count of regions with increasing or decreasing changes in climatic impact-drivers); relates to panel (a) and panel (b) and it's shown by the bars in the figure. The first row of data relates to the darker purple bars, the second row to the lighter purple bars, the third row to the lighter brown bars and the fourth row to the darker brown bars. Row 5 represents the maximum number of regions for which each climatic impact-driver is relevant. It is shown on the figure as the lighter-shaded ‘envelope’.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers)" }, { "ob_id": 32921, "uuid": "bd65331b1d344ccca44852e495d3a049", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.4 (v20210809)", "abstract": "Data for Figure SPM.4 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.4 panel a shows global emissions projections for CO2 and a set of key non-CO2 climate drivers, for the core set of five IPCC AR6 scenarios. Figure SPM.4 panel b shows attributed warming in 2081-2100 relative to 1850-1900 for total anthropogenic, CO2, other greenhouse gases, and other anthropogenic forcings for five Shared Socio-economic Pathway (SSP) scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n---------------------------------------------------\r\nThe figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Projected emissions from 2015 to 2100 for the five scenarios of the AR6 WGI core scenario set (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5)\r\n - Projected warming for all anthropogenic forcers, CO2 only, non-CO2 greenhouse gases (GHGs) only, and other anthropogenic components for 2081-2100 relative to 1850-1900, for SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n\r\n\r\n The first column includes the years, while the next columns include the data per scenario and per climate forcer for the line graphs.\r\n\r\n - Data file: Carbon_dioxide_Gt_CO2_yr.csv. relates to Carbon dioxide emissions panel\r\n - Data file: Methane_Mt_CO2_yr.csv. relates to Methane emissions panel\r\n - Data file: Nitrous_oxide_Mt N2O_yr.csv. relates to Nitrous oxide emissions panel\r\n - Data file: Sulfur_dioxide_Mt SO2_yr.csv. relates to Sulfur dioxide emissions panel\r\n\r\n Panel b:\r\n\r\n - Data file: ts_warming_ranges_1850-1900_base_panel_b.csv. [Rows 2 to 5 relate to the first bar chart (cyan). Rows 6 to 9 relate to the second bar chart (blue). Rows 10 to 13 relate to the third bar chart (orange). Rows 14 to 17 relate to the fourth bar chart (red). Rows 18 to 21 relate to the fifth bar chart (brown).].\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink are provided in the Related Documents section of this catalogue record:\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 1, which contains details on the input data used in Table 1.SM.1..(Cross-Chapter Box 1.4, Figure 2).\r\n- Link to related publication for input data used in panel a." }, { "ob_id": 39198, "uuid": "0b2759059ad6474098e40dad73e0a8ec", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20221116)", "abstract": "Data for Figure SPM.1 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.1 shows global temperature history and causes of recent warming.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nPanel a\r\n\r\nThe dataset contains:\r\n\r\n - Estimated temperature during the warmest multi-century period in at least the last 100,000 years, which occurred around 6500 years ago (4500 BCE), multi-centennial average, from AR6 WGI Chapter 2\r\n - Global surface temperature change time series relative to 1850-1900 for 1-2020 from:\r\n• 1-2000 CE reconstruction from paleoclimate archives, decadal smoothed, from PAGES2k Consortium (2019, DOI: 10.1038/s41561-019-0400-0)\r\n• 1850-2020 CE, observations, decadal smoothed, from AR6 WGI Chapter 2 assessed mean\r\n\r\nPanel b:\r\n\r\nThe dataset contains global surface temperature change time series relative to 1850-1900 for 1850-2020 from simulations from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and observations:\r\n\r\n- CMIP6 historical+ssp245 simulations (simulations with human and natural forcing, 1850-2019)\r\n- CMIP6 hist-nat simulations (simulations with natural forcing, 1850-2019)\r\n- Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\nPanel a:\r\n\r\n- panel_a/SPM1_1-2000_recon.csv, 1-2000 time series, decadal smoothed, for years centred on 5-1996 CE [column 1 grey line, columns 2 and 3 grey shading]\r\n- panel_a/SPM1_1850-2020_obs.csv, 1850-2020 time series, decadal smoothed, for years centered on 1855-2016 CE [black line]\r\n- panel_a/SPM1_6500_recon.csv, bar for the warmest multi-century period in more than 100,000 years (around 6500 years ago: 4500 BCE) [grey bar]\r\n\r\nPanel b:\r\n\r\n- panel_b/gmst_changes_model_and_obs.csv. Global surface temperature change time series relative to 1850-1900 for 1850-2020 from:\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [mean, brown line]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [5% range, brown shading, bottom]\r\n• CMIP6 historical+ssp245 simulations (1850-2019) [95% range, brown shading, top]\r\n• CMIP6 hist-nat simulations (1850-2019) [mean, green line]\r\n• CMIP6 hist-nat simulations (1850-2019) [5% range, green shading, bottom]\r\n• CMIP6 hist-nat simulations (1850-2019) [95% range, green shading, top]\r\n• Global Surface Temperature Anomalies (GSTA) relative to 1850-1900 from observations assessed in IPCC AR6 WG1 Chapter 2 (1850-2020) [black line]\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\nThe following weblinks are provided in the Related Documents section of this catalogue record:\r\n- Link to the figure on the IPCC AR6 website\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers), the Technical Summary (Cross-Section Box TS.1, Figure 1a) and the Supplementary Material for Chapters 2 and 3, which contains details on the input data used in Tables 2.SM.1 (Figure 2.11a) and 3.SM.1 (Figure 3.2c; FAQ 3.1, Figure 1).\r\n- Link to related publication for input data\r\n- Link to the webpage of the WGI report" }, { "ob_id": 39205, "uuid": "1b91153925dd474387bb696d59adbd15", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.5 (v20221116)", "abstract": "Data for Figure SPM.5 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.5 shows changes in annual mean surface temperatures, precipitation, and total column soil moisture.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels with 11 maps. All data is provided, except for panel a1.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n\r\n- Annual mean temperature change (°C) (relative to 1850-1900)\r\n- Annual mean precipitation change (%) (relative to 1850-1900)\r\n- Annual mean soil moisture change (standard deviation of interannual variability) (relative to 1850-1900)\r\n\r\nThe data is given for global warming levels (GWLs), namely +1.0°C (temperature only), +1.5°C, 2.0°C, and +4.0°C.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nPanel a:\r\n- Data file: Panel_a2_Simulated_temperature_change_at_1C.nc, simulated annual mean temperature change (°C) at 1°C global warming relative to 1850-1900 (right).\r\n\r\nPanel b:\r\n- Data file: Panel_b1_Simulated_temperature_change_at_1_5C.nc, simulated annual mean temperature change (°C) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_b2_Simulated_temperature_change_at_2C.nc, simulated annual mean temperature change (°C) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_b3_Simulated_temperature_change_at_4C.nc, simulated annual mean temperature change (°C) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel c:\r\n- Data file: Panel_c1_Simulated_precipitation_change_at_1_5C.nc, simulated annual mean precipitation change (%) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Panel_c2_Simulated_precipitation_change_at_2C.nc, simulated annual mean precipitation change (%) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Panel_c3_Simulated_precipitation_change_at_4C.nc, simulated annual mean precipitation change (%) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\nPanel d:\r\n- Data file: Figure_SPM5_d1_cmip6_SM_tot_change_at_1_5C.nc, simulated annual mean total column soil moisture change (standard deviation) at 1.5°C global warming relative to 1850-1900 (left).\r\n- Data file: Figure_SPM5_d2_cmip6_SM_tot_change_at_2C.nc, simulated annual mean total column soil moisture change (standard deviation) at 2.0°C global warming relative to 1850-1900 (center).\r\n- Data file: Figure_SPM5_d3_cmip6_SM_tot_change_at_4C.nc, simulated annual mean total column soil moisture change (standard deviation) at 4.0°C global warming relative to 1850-1900 (right).\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblink is provided in the Related Documents section of this catalogue record:\r\n- Link to origin of figure (IPCC WG1 Summary for Policy Makers)\r\n- Link to the report webpage, which includes the component containing the figure (Summary for Policymakers), the Technical Summary (Figures TS.3 and TS.5) and the Supplementary Material for Chapters 1, 4 and 11, which contains details on the input data used in Tables 1.SM.1 (Figure 1.14), 4.SM.1 (Figures 4.31 and 4.32) and 11.SM.9 (Figure 11.19).\r\n- Link to the figure on the IPCC AR6 website" }, { "ob_id": 32924, "uuid": "b1ad4c02319b438884a72fea34cb5a18", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.7 (v20210809)", "abstract": "Data for Figure SPM.7 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure SPM.7 shows the cumulative anthropogenic CO2 emissions taken up by land and ocean sinks by 2100 under the five core scenarios.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\nThis dataset contains cumulative anthropogenic (human-caused) carbon dioxide (CO2) emissions taken up by the land and ocean sinks under the five core scenarios (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), simulated from 1850 to 2100 by Earth System Models that contributed to the sixth phase of the Coupled Model Intercomparison Project (CMIP6).\r\n\r\nThe five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n---------------------------------------------------\r\nData file: SPM7_data.csv: each column corresponds to a single scenario, in which rows 2-7 are the bar values, rows 8-10 are the pie chart values and row 11 is the central value in the pie chart.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n---------------------------------------------------\r\nThe following weblink is provided in the Related Documents section of this catalogue record:\r\n- Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers)." }, { "ob_id": 32916, "uuid": "cfe938e70f8f4e98b0622296743f7913", "short_code": "ob", "title": "Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.10 (v20210809)", "abstract": "Data for Figure SPM.10 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure SPM.10 shows global warming as a function of cumulative emissions of carbon dioxide.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels that are closely linked. Data files for the top panel are labelled with 'Top_panel' while data files for the bottom panel are labelled with 'Bottom_panel'. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n---------------------------------------------------\r\nThis dataset contains:\r\n\r\nTop panel:\r\n\r\n- Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)\r\n- Global surface temperature increase relative to 1850-1900 (1850-2019)\r\n- Estimated human-caused warming relative to 1850-1900 (1850-2019)\r\n- Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n- Assessed global surface temperature increase relative to 1850-1900 for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n\r\nBottom panel:\r\n\r\n- Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)\r\n- Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)\r\n\r\nThe illustrative SSP (Shared Socio-economic Pathway) scenarios (referred to here as core scenarios) are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nTop panel: \r\n•\tTop_panel_HISTORY.csv: historical CO2 emissions, global surface temperature increase since 1850-1900 for the 1850-2019 period, estimated human-caused warming since 1850-1900 over the 1850-2019 period. [row 1 for black line, grey line and grey range, row 2 for black line, row 3 to 5 range and central grey range]\r\n•\tTop_panel_SSP1-19.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP1-26.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP2-45.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP3-70.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n•\tTop_panel_SSP5-85.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]\r\n\r\nBottom panel: \r\n•\tBottom_panel_GtCO2_historical.csv: historical CO2 emissions [grey bars]\r\n•\tBottom_panel_GtCO2_projections.csv; projected CO2 emissions for the five scenarios in the core set of IPCC AR6 WG1 scenarios [coloured bars]\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n\r\n - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) the Technical Summary (Section TS.3.3). and the Supplementary Material for Chapter 5, which contains details on the input data used in Table 5.SM.6 (Figure 5.31)\r\n - Link to related publications for input data" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146009, 146008, 146007, 146006, 146005, 146004, 146003, 146002, 168791 ], "onlineresource_set": [ 43322, 80262 ], "project_set": [ 32705 ] }, { "ob_id": 32730, "uuid": "42b3dd3c88a04195b0ecaa3827dd7560", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Atlas", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Atlas.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure Atlas.2\r\n- data for Figure Atlas.13\r\n- data for Figure Atlas.16\r\n- data for Figure Atlas.17\r\n- data for Figure Atlas.21\r\n- data for Figure Atlas.22\r\n- data for Figure Atlas.24\r\n- data for Figure Atlas.26\r\n- data for Figure Atlas.28\r\n- data for Figure Atlas.29", "keywords": "IPCC, AR6, WG1, Atlas", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:29:35", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 38855, "uuid": "b57ed5886f0a4041b76f2281ba503bed", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.29 (v20221104)", "abstract": "Data for Figure Atlas.29 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.29 shows regional changes over land (except for ARO) in annual mean surface air temperature and precipitation relative to the 1995–2014 baseline for the reference regions in Arctic and Antarctica (warming since the 1850–1900 pre-industrial baseline is also provided as an offset).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over the Arctic and Antarctica are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over the Arctic and Antarctica in the top left panel of the figure, area: 'land', cordex.domain: 'ARC' or 'ANT' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38843, "uuid": "bb671075bd194b3bbaa496d90f5310e1", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.17 (v20221104)", "abstract": "Data for Figure Atlas.17 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.17 shows changes in annual mean surface air temperature and precipitation from reference regions in Asia for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirty-one panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Asia are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\nWAS is the CORDEX region for South Asia.\r\nEAS is the CORDEX region for East Asia.\r\nSEA is the CORDEX region for South East Asia.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Asia in the top panel of the figure, area: 'land', cordex.domain: 'WAS', 'EAS' or 'SEA' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38856, "uuid": "789ad030299342ea99534edfb62450d9", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.2 (v20221104)", "abstract": "Data for Figure Atlas.2 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.2 shows WGI reference regions used in the (a) AR5 and (b) AR6 reports.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates: \r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for both panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nThis dataset contains the corner coordinates defining each reference region for the second panel of the figure, which contain coordinate information at a 0.44º resolution.\r\nThe repository directory 'reference-regions' contains data provided for the reference regions as polygons in different formats (CSV with coordinates, R data, shapefile and geojson) together with R and Python notebooks illustrating the use of these regions with worked examples.\r\n\r\nData for reference regions for AR5 can be found here: https://catalogue.ceda.ac.uk/uuid/a3b6d7f93e5c4ea986f3622eeee2b96f\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nAR5 and AR6 refer to the 5th and 6th Annual Report of the IPCC.\r\nWGI stands for Working Group I\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures produced by the Jupyter Notebooks live inside the notebooks directory. The notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder. \r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, we provide a data loading shortcut, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub.\r\n - Link to IPCC AR5 reference regions dataset" }, { "ob_id": 38844, "uuid": "3913c555e3054ffa99eb494a1c0bb39d", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.21 (v20221104)", "abstract": "Data for Figure Atlas.21 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.21 shows changes in annual mean surface air temperature and precipitation from reference regions in Australasia for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has sixteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Australasia are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Australasia in the top right panel of the figure, area: 'land', cordex.domain: 'AUS' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38846, "uuid": "4f314945d3944aeaa12f819fe801dea0", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.24 (v20221104)", "abstract": "Data for Figure Atlas.24 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.24 shows changes in annual mean surface air temperature and precipitation from reference regions in Europe for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Europe are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over Europe in the top panel of the figure, area: 'land', cordex.domain: 'EUR' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38285, "uuid": "5f8d2c32121a4885b20be2ae96aed72d", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.13 (v20221004)", "abstract": "Data for Figure Atlas.13 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.13 shows changes in annual mean surface air temperature and precipitation from different lines of evidence (CMIP5 and CMIP6). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has eight panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, select the region: 'world', area: 'land' or 'landsea' and scatter.seasons: list of months by number e.g. boreal summer (JJA): list(c(12, 1, 2),6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from Github." }, { "ob_id": 38853, "uuid": "70c57074146147989150a1a37c338fcf", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.26 (v20221104)", "abstract": "Data for Figure Atlas.26 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.26 shows changes in annual mean surface air temperature and precipitation from reference regions in North America for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has nineteen panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over North America are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions over North America in the top panel of the figure, area: 'land', cordex.domain: 'NAM' and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38854, "uuid": "89e1b69ad74146cfa8b0a941108811c2", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.28 (v20221104)", "abstract": "Data for Figure Atlas.28 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.28 shows changes in annual mean surface air temperature, precipitation and sea level rise relative to the 1995–2014 baseline for the reference regions in the Small Islands region for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twelve panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\nSea level rise data from the CMIP6 ensemble is also used for the right-hand plot of each panel.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions in the Small Islands are used for the production of this figure. \r\n\r\nSea level projections data can be found here: https://www.wdc-climate.de/ui/entry?acronym=IPCC-DDC_AR6_Sup_SLPr\r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure, use the 'regional-scatter-plots_R.ipynb' notebook. Information on reproducibility can be found in the 'reproducibility/projections' folder of the Atlas GitHub repository.\r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub.\r\n - Link to IPCC AR6 WGI Sea Level Projections" }, { "ob_id": 38845, "uuid": "131bb6c7826b467d9f1ea6bd3fa74175", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.22 (v20221104)", "abstract": "Data for Figure Atlas.22 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.22 shows changes in annual mean surface air temperature and precipitation from reference regions in Central America, the Caribbean and South America for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has thirty-one panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Central America, the Caribbean and South America are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJA and DJF stand for June, July, August and December, January, February respectively.\r\nCAM is the CORDEX region for Central America.\r\nSAM is the CORDEX region for South America.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the regions in the top panel of the figure, area: 'land', cordex.domain: 'CAM' or 'SAM' depending on panel and scatter.seasons: list of months by number e.g. JJA: list(c(12, 1, 2), 6:8). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." }, { "ob_id": 38842, "uuid": "b140e520e22e45daa8525d18c1c8cced", "short_code": "ob", "title": "Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.16 (v20221104)", "abstract": "Data for Figure Atlas.16 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure Atlas.16 shows changes in annual mean surface air temperature and precipitation from reference regions in Africa for different lines of evidence (CMIP5, CORDEX and CMIP6).\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:\r\nFor the report component from which the figure originates:\r\nGutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021\r\n\r\nIturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has twenty-eight panels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\nThis dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets: \r\n- CMIP5, CMIP6 (1850-2100)\r\n- CORDEX (1970-2100)\r\nThese are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases. \r\nAn observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nAll datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and regions over Africa are used for the production of this figure. \r\n\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.\r\nSSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP2-4.5 is based on SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.\r\nSSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.\r\nRCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.\r\nRCP4.5 is the Representative Concentration Pathway for 4.5 Wm-2 global warming by 2100.\r\nRCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.\r\nGWL stands for global warming levels.\r\nJJAS and DJFM stand for June, July, August, September and December, January, February, March respectively.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, in regions: select each of the 9 regions over Africa in the top right panel of the figure, area: 'land', cordex.domain: 'AFR' and scatter.seasons: list of months by number e.g. JJAS: list(c(12, 1, 2),6:9). \r\n\r\nThe notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.\r\n\r\nSome of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Atlas)\r\n - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the necessary notebooks for reproducing the figure from GitHub." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146020, 146019, 146018, 146017, 146016, 146015, 146014, 146013, 146021, 168781, 146022, 146023 ], "onlineresource_set": [ 80263, 80264 ], "project_set": [ 32705 ] }, { "ob_id": 32731, "uuid": "8727c2b993fe491c8ae063c2de6766a0", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex I: Observational Products", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex I: Observational Products.", "keywords": "IPCC, AR6, WG1, Annex I", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146031, 146030, 146029, 146028, 146027, 146026, 146025, 146024, 146032, 168342 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32732, "uuid": "27ce2a87e2b845bc8def11af54394113", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex II: Paleoclimate", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex II: Paleoclimate.", "keywords": "IPCC, AR6, WG1, Annex II", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146042, 146041, 146040, 146039, 146038, 146037, 146036, 146035, 146043, 168343 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32733, "uuid": "ab30eebbf7c946cf9971c13acc174eb9", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex III: Models", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex III: Models.", "keywords": "IPCC, AR6, WG1, Annex III", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146051, 146050, 146049, 146048, 146047, 146046, 146045, 146044, 146052, 168344, 146053 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32734, "uuid": "3b0ab048f86e4a7f886d7e1a1d74c3ac", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex VI: Modes of Variability", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex VI: Modes of Variability.", "keywords": "IPCC, AR6, WG1, Annex VI", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146061, 146060, 146059, 146058, 146057, 146056, 146055, 146054, 146062, 168345, 146063 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32735, "uuid": "ddb0724b349d447ea8c07a9f404e10af", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex V: Radiative Forcing", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex V: Radiative Forcing.", "keywords": "IPCC, AR6, WG1, Annex V", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146067, 146066, 146065, 146064, 146071, 146070, 146069, 146068, 146072, 168346, 146073, 146074, 146075, 146076, 146077 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32736, "uuid": "8657cfed396f4af78d8f71a2c63721f5", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Annex VII: Climatic Impact-Driver and Extreme Indices", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Annex VII: Climatic Impact-Driver and Extreme Indices.", "keywords": "IPCC, AR6, WG1, Annex VII", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 146085, 146084, 146083, 146082, 146081, 146080, 146079, 146078, 146086, 168347, 146087, 146088, 146089, 146090, 146091, 146092, 146093, 146094, 146095, 146096 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 32783, "uuid": "8239d5f6263f4551bf2bd100d3ecbead", "short_code": "coll", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost version 3 data products", "abstract": "This collection of data forms the Permafrost Climate Research Data Package (CRDP v2), which comprises the Version 3.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) for the period 1997-2019. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "publicationState": "published", "dataPublishedTime": "2024-02-14T16:54:28", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32612, "uuid": "67a3f8c8dc914ef99f7f08eb0d997e23", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness.\r\n\r\nCase A: This covers the Northern Hemisphere (north of 30°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: This covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2019 using a pixel-specific statistics for each day of the year." }, { "ob_id": 32614, "uuid": "6e2091cb0c8b4106921b63cd5357c97c", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v3.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%).\r\n\r\nCase A: This covers the Northern Hemisphere (north of 30°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: This covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2019 using a pixel-specific statistics for each day of the year." }, { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v3.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m).\r\n\r\nCase A: This covers the Northern Hemisphere (north of 30°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: This covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2019 using a pixel-specific statistics for each day of the year." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146338, 146337, 146336, 146335, 146334, 146333, 146332, 146331, 146339, 146340, 146341, 146342, 146343, 146344, 146345, 146346, 146347, 146348, 146349, 146350, 146351, 146352, 146353, 146354, 146355, 146356, 146357 ], "onlineresource_set": [ 42944 ], "project_set": [] }, { "ob_id": 32784, "uuid": "29fc47bb023a4ac1bfa59aebd461c3ac", "short_code": "coll", "title": "Sentinel 3B data", "abstract": "This dataset collection contains data products from all of the instruments on the European Space Agency (ESA) Sentinel 3B satellite. Sentinel 3B was launched on 25th April 2018.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2022-10-27T10:38:08", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 148 ], "discoveryKeywords": [], "member": [ { "ob_id": 26986, "uuid": "e6d7731a67644e0fb5912ab248f0729b", "short_code": "ob", "title": "Sentinel 3B Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data", "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature (LST), active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 26992, "uuid": "f06cd9965a344be190681e18a81159ee", "short_code": "ob", "title": "Sentinel 3B Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3B the OLCI instrument provides a spatial resolution of 300m.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files." }, { "ob_id": 32265, "uuid": "e28a2d786c79494ca77206178bae5dcf", "short_code": "ob", "title": "Sentinel 3B Synthetic Aperture Radar Altimeter (SRAL) Level 1B data", "abstract": "This dataset contains level 1b altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th of April 2018. These level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146373, 146370, 146369, 146366, 146365, 146364, 146363, 146362, 146372, 146374 ], "onlineresource_set": [], "project_set": [ 12321 ] }, { "ob_id": 32818, "uuid": "0bcc2457250548abb51a90f96772c374", "short_code": "coll", "title": "Sentinel 3A data", "abstract": "This dataset collection contains data products from all of the instruments on the European Space Agency (ESA) Sentinel 3A satellite. Sentinel 3A was launched on 16th February 2016.\r\n\r\nThe Sentinel 3 satellites have 3 main instruments on board: Sea and Land Surface Temperature Radiometer (SLSTR), Ocean and Land Colour Instrument (OLCI) and SAR Radar Altimeter (SRAL).\r\n\r\nData are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2022-08-18T11:00:05", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 148 ], "discoveryKeywords": [], "member": [ { "ob_id": 19019, "uuid": "1b95268e94d44ede88eac442d0b0d473", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1B data", "abstract": "This dataset contains level 1b altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. \r\n\r\nThese data contain geo-located and fully calibrated multi-looked High-Resolution power echoes. \r\nThese level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user. The level 1B SAR product contains the same variables as the level 1B-S product except for the waveform and the stack characterisation parts. A level 1B waveform is the average of each stack and is provided in samples (power waveform) in the frequency domain (range domain).\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 27778, "uuid": "d11cdf15ecfe4e7a805d88254d58208a", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 2 Land data", "abstract": "This dataset contains altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Level-2 (L2) is the Level-1 data corrected for geophysical effects. \r\n\r\nLike many recent altimeters, Sentinel 3 operates at two frequencies (Ju and C band) in order to derive an ionospheric correction. A Level 2 SRAL/MWR complete product contains three data files:\r\na \"reduced\" (Red) data file, containing a subset of the main 1 Hz Ku band parameters\r\na \"standard\" (Std) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters\r\nan \"enhanced\" (Enh) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters, the waveforms and the associated parameters necessary to reprocess the data.\r\nThe SRAL/MWR Level-2 products are generated in Standard Archive Format for Europe (SAFE) format. All the information relevant to the product is gathered into a single package. Inside this package, the specific objects containing measurement data are encoded in netCDF format.\r\n\r\nThere are different levels of data latency related to the availability of auxiliary or ancillary data:\r\n\r\nNear Real-Time (NRT): delivered less than 3 hours after data acquisition\r\nSlow Time Critical (STC): delivered within 48 hours after data acquisition\r\nNon-Time Critical (NTC): delivered within typically 1 month after data acquisition.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 32785, "uuid": "67b646c363fc4f9289486ffd8c4c6b07", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1A data", "abstract": "This dataset contains level 1a altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. These data contain geo-located bursts of echoes with all calibrations applied. Level 1A (L1A) is an intermediate output of the Synthetic Aperture Radar (SAR) processor. L1A complex waveforms should be fully calibrated (including both instrumental gains and calibration corrections) and aligned in range within each burst. The time tag is given at the surface (that is when the middle of the burst reaches the surface). L1A is the starting point for the SAR processing which provides high-resolution products. Data are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 32787, "uuid": "41526384c3dd463eb0fc0117b87d08f6", "short_code": "ob", "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1B-S data", "abstract": "This dataset contains level 1b (L1B-S) altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. These data are fully SAR-processed and calibrated High-Resolution (HR) complex echoes arranged in stacks after slant range correction and prior to echo multi-look (multi-look processing reduces noise by averaging of adjacent pixels, and thereby reduces the standard deviation of the noise level).\r\n\r\nThe L1B-S HR product contains information from Doppler beams data. Hence, it has only been defined for the Synthetic Aperture Radar (SAR) processing chain. The Doppler beams associated with a given surface location (also called stack data) are formed through the selection of all the beams that illuminate a given surface location, and that contribute to each L1B HR waveform. Beams are the result of applying Doppler processing to the waveform bursts, which allows division of the conventional altimeter footprint into a certain number of stripes, thus creating a Delay Doppler Map (DDM). With this, contributions coming from different stripes can be identified and collected separately. When all the contributions from different bursts are collected, a stack is formed. The stack waveforms are provided in In-phase (I) and Quadrature-phase (I/Q) samples (complex waveforms) in the frequency domain. Apart from the Doppler processing, the beams of a stack have also been fully calibrated and range aligned. The L1B-S also includes characterisation parameters about the stack itself. The time tag is given at each surface location (defined throughout the L1 processing chain).\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 38324, "uuid": "fa7519c41af742d696729b0ac2db8148", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Land Reduced Resolution (LRR) Level 2 data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm.\r\n\r\nThe OLCI Level-2 Land Reduced (OL_2_LRR) Resolution products are outputs from the OLCI Level-2 processor and contain land and atmospheric geophysical products at Reduced resolution.\r\n\r\nThe content of these files depends on several switches included in the OLCI configuration parameters. Each geophysical parameter format is only triggered if the corresponding switch is set to ‘1'. Note that all pixels flagged as cloudy are discarded from OLCI Level-2 processing.\r\n\r\nOL_2_LRR products have a spatial sampling of approximately 1.2 km for Reduced Resolution. The products are assumed to be computed in Near Real Time (NRT) (i.e. delivered to users less than 3 hours after acquisition), in Non-Time Critical (NTC) (i.e. within 1 month after acquisition) or in re-processed NTC.\r\n\r\nEach product provides as measurement data files:\r\n\r\n- Surface product as Green Instantaneous Fraction of Absorbed Photosynthetically Active Radiation (GI-FAPAR) and Terrestrial Chlorophyll Index (OTCI)\r\n- Atmosphere by-products as Integrated Water Vapour (IWV) column (this product also contains information for water pixels and is identical to that included in OL_2_WRR and OL_2_WFR)\r\n- Error estimates for all products.\r\n\r\nSeveral associated variables are also provided in the annotations data files:\r\n\r\n- Rectified reflectance for red and NIR channels (RC681 and RC865)\r\n- Classification, quality and science flags (LQSF)\r\n- Common data such as the ortho-geolocation of land pixels, solar and satellite angles, atmospheric and meteorological data, time stamp or instrument information. These variables are inherited from Level-1B products." }, { "ob_id": 27730, "uuid": "bcbe8362169549d7bf839cd0f12ff1e6", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Reduced Resolution (ERR) level 1 data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Reduced Resolution (ERR) Level 1 data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. Reduced Resolution products are obtained by averaging the signal of a grid of 16 FR pixels (4 Along Track x 4 Across Track). For the normal orbit of Sentinel 3A the OLCI instrument provides a Reduced Resolution produced with a spatial resolution of approximately 1.2km with worldwide coverage every ~2 days.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user." }, { "ob_id": 19025, "uuid": "99180e6c305744be9b5e73b7a0e4b324", "short_code": "ob", "title": "Sentinel 3A Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3A the OLCI instrument provides a spatial resolution of 300m with worldwide coverage every ~2 days.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files." }, { "ob_id": 19030, "uuid": "341ac8194a5c4559ab8828ccbb4a0be5", "short_code": "ob", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 2 data", "abstract": "This dataset contains data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Data are provided by ESA and are made available via CEDA to any registered user in the UK." }, { "ob_id": 19036, "uuid": "3510f90e4a7c4447b37d07fa61703870", "short_code": "ob", "title": "Sentinel 3A Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data", "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature, active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146543, 146542, 146541, 146540, 146539, 146538, 146537, 146536, 146545, 146544 ], "onlineresource_set": [], "project_set": [ 12321 ] }, { "ob_id": 32820, "uuid": "4d9554592924473281d0c90f5688989b", "short_code": "coll", "title": "CCMI-2022 data produced by the SOCOL model at ETH-PMOD", "abstract": "Data for CCMI-2022 produced by the SOCOL (SOlar Climate Ozone Links) model run by the modelling team at ETH-PMOD (Swiss Federal Institute of Technology Zurich and the Physical-Meteorology Observatory Davos).\r\n\r\nCCMI-2022 Chemistry-climate model initiative, phase 2 is a project to study the evolution of the ozone layer using chemistry-climate model simulations.\r\n\r\nThe SOCOL (SOlar Climate Ozone Links) model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe SOCOL chemistry-climate model is run by the modelling team at ETH-PMOD (Swiss Federal Institute of Technology Zurich and the Physical-Meteorology Observatory Davos) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021).\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, SOCOL, ETH-PMOD, APARC", "publicationState": "published", "dataPublishedTime": "2024-11-11T15:51:02", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 32809, "uuid": "f088e7a33a25409197ea9b6aa3b90864", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the SOCOL model at ETH-PMOD", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the SOCOL (SOlar Climate Ozone Links) model run by the modelling team at ETH-PMOD (Swiss Federal Institute of Technology Zurich and the Physical-Meteorology Observatory Davos).\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Atmosphere-Ocean-Aerosol-Chemistry-Climate Model SOCOLv4.0: description and evaluation.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 146561, 146560, 146559, 146558, 146557, 146556, 146555, 146562, 146563 ], "onlineresource_set": [ 43013 ], "project_set": [ 32805 ] }, { "ob_id": 32840, "uuid": "5920a2c77e3c45339477acd31ce62c3c", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): weekly and monthly sea surface salinity products, v03.21, for 2010 to 2020", "abstract": "The European Space Agency (ESA) Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period.\r\n\r\nThis dataset collection contains Sea Surface Salinity (SSS) v03.21 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a 25km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling.\r\n\r\nA monthly product is also available, at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling.\r\n\r\n In addition to salinity, information on errors are provided. For more information, see the user guide and product documentation available on the Sea Surface Salinity CCI web page (linked below).\r\n\r\nCompared to the previous version of the data, version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag.", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "citable", "dataPublishedTime": "2021-10-08T13:17:37", "doiPublishedTime": "2021-10-08T14:54:00", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 32842, "uuid": "fad2e982a59d44788eda09e3c67ed7d5", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product, v03.21, for 2010 to 2020", "abstract": "The ESA Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period.\r\n\r\nThis dataset contains Sea Surface Salinity (SSS) v03.21 data at a spatial resolution of 50 km and a time resolution of 1 week. It has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available. In addition to salinity, information on errors are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page).\r\n\r\nCompared to the previous version of the data, version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag." }, { "ob_id": 32841, "uuid": "7da8723b16e94771be1a2717d8a6e2fe", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product, v03.21, for 2010 to 2020", "abstract": "The ESA Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2020 period.\r\n\r\nThis dataset provides Sea Surface Salinity (SSS) data at a spatial resolution of 25 km and a time resolution of 1 month. This has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 15 days of time sampling. A weekly product is also available. In addition to salinity, information on errors are provided. For more information, see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page.\r\n\r\nCompared to the previous version of the data, version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. Users might remove these additional near land data by using the lsc_qc flag." } ], "identifier_set": [ 10953 ], "responsiblepartyinfo_set": [ 146598, 146599, 146597, 146596, 146600, 146595, 146594, 146593, 146601, 148315, 146602, 146603, 146604, 146605, 146606, 146607, 146608, 146609, 146610, 146611, 146612, 146613, 146614, 146615, 146616, 146617, 146618, 146619, 146620, 146621, 146622, 146623, 146624, 146625 ], "onlineresource_set": [ 43024, 43025, 43625, 51664, 87638, 87639, 87951, 92697, 92698 ], "project_set": [ 28235 ] }, { "ob_id": 33023, "uuid": "cc660aad3cb34f5cb1ff50db57f47653", "short_code": "coll", "title": "CCMI-2022 data produced by the NIWA-UKCA2 model at NIWA", "abstract": "The NIWA-UKCA2 model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe NIWA-UKCA2 chemistry-climate model is run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, NIWA-UKCA2, NIWA, APARC", "publicationState": "published", "dataPublishedTime": "2021-08-06T21:01:19", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 37360, "uuid": "98851c33e7fe481c8179b2c0fe70af77", "short_code": "ob", "title": "CCMI-2022: senD2-ssp370 data produced by the NIWA-UKCA2 model at NIWA", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp370 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nExperiment senD2-ssp370 is a future projection with specified forcings largely following the same specifications as for the SSP3-7.0 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Ozone Depleting Substances (ODSs) are specified by the WMO(2018) baseline scenario.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nSSP3-7.0 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP3 with high climate change mitigation and adaptation challenges, and climate forcing pathway RCP7.0 which leads to a radiative forcing of 7.0 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018\r\n\r\nMPI-ESM1-2-LR is a Max Planck Institute Earth System Model with a 1.5 degree resolution in the ocean.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, 588 pp., Geneva, Switzerland, 2018.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, { "ob_id": 37358, "uuid": "1fcf16f9d33348589d4e8431083470d0", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the NIWA-UKCA2 model at NIWA", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nThe senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, { "ob_id": 33019, "uuid": "9d93bed3b24648fcade5e427903c7da7", "short_code": "ob", "title": "CCMI-2022: REF-D1 data produced by the NIWA-UKCA2 model at NIWA", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nThe refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, { "ob_id": 37359, "uuid": "9ffb90316a73409380c5708803e3d4de", "short_code": "ob", "title": "CCMI-2022: senD2-ssp126 data produced by the NIWA-UKCA2 model at NIWA", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp126 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nExperiment senD2-ssp126 is a future projection with specified forcings largely following the same specifications as for the SSP1-2.6 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Ozone Depleting Substances (ODSs) are specified by the WMO(2018) baseline scenario.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nSSP1-2.6 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP1 with low climate change mitigation and adaptation challenges, and climate forcing pathway RCP2.6 which leads to a radiative forcing of 2.6 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nMPI-ESM1-2-LR is a Max Planck Institute Earth System Model with a 1.5 degree resolution in the ocean.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, 588 pp., Geneva, Switzerland, 2018.\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" }, { "ob_id": 33022, "uuid": "9ffc2afd029442a8bf4f1dfc5b688ca4", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the NIWA-UKCA2 model at NIWA", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.\r\n\r\nThe refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nSSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 147450, 147447, 147446, 147445, 147443, 147442, 147441, 147451 ], "onlineresource_set": [ 43320, 43321, 83264 ], "project_set": [ 32805 ] }, { "ob_id": 33079, "uuid": "1c3a4c29b0ea42f5b0e254b7571aa3fa", "short_code": "coll", "title": "BBUBL: avian-borne met sensor package data and WRF model run data", "abstract": "This dataset collection contains data from avian-borne meteorological sensors from a series of flights over Birmingham as part of the Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer (BBUBL)(NERC grant: NE/N003195/1) project (also known as City Flocks) along with Weather Research and Forecasting (WRF) model run output for the same period.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2023-06-08T15:25:27", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 33121, "uuid": "f5a2bbcadec2428cab157653a7039919", "short_code": "ob", "title": "BBUBL: airborne meteorological measurements from various avian sensor packages for flights in 2018-19 over the Birmingham conurbation", "abstract": "This dataset contains data from Avian-Meteorology-Instrument Packages (AvMIPs) from a series of flights over Birmingham as part of the Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer (BBUBL) project (NERC grant: NE/N003195/1), also known as City Flocks. The flights took place in 2018 and 2019.\r\n\r\nThe BBUBL project utilised Biotelemetry/bio-aerial-platforms as a novel and practicable solution to the data paucity above urban rooftops in the Urban Boundary Layer. The project developed a suite of low-cost Avian-Meteorology-Instrument Packages (AvMIPs) for ensemble deployment in Birmingham as a suitably large and heterogeneous test case.\r\n\r\nA range of different sensor packages were used which were subsequently further characterised through air-tunnel tests. See Thomas et al. (2018) citation (DOI:10.1175/BAMS-D-16-0181.1) listed in the online resources section of this record for further details, including a precursor system flown on a larger bird species. In summary, temperature sensors were compared against U.K. Accreditation Service (UKAS)-accredited sensors in a controlled temperature chamber (WKL 34/40; Weiss Technik, Belgium and Germany) and in ambient conditions at the University of Birmingham weather station.\r\n\r\nAdditional material by Thomas et al. (2018) included in the online resource section of this record provide additional material regarding the project and instrumentation usage.\r\n\r\nNote, within the data there are a range of sensor packet and bird IDs used to denote the different bird-sensor package combinations used. A range of sensor packets were used, with one lost and others found unusable, resulting in the sensor packet numbers shown in the data. Bird ID were taken from the bird ring numbers unless clashes existed, in which case an alternative two digit number was used, therefore are not consecutive and no other data from other bird and sensor package combinations are available." }, { "ob_id": 1214, "uuid": "916ac4bbc46f7685ae9a5e10451bae7c", "short_code": "ob", "title": "MIDAS: UK Hourly Weather Observation Data", "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations across the UK and transmitted within SYNOP, METAR, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to present.\r\n\r\nThis dataset also contains data from a selection of overseas sites:\r\nSRC_ID STATION STATUS LAST DATA\r\n1580 GUTERSLOH CLOSED 28/10/2013 13:00\r\n1582 BRUGGEN CLOSED 29/09/2001 05:00\r\n1584 LAARBRUCH CLOSED 14/05/1999 23:00\r\n1585 GIBRALTAR, NORTH FRONT OPEN 03/02/2020 09:00\r\n1588 AKROTIRI, CYPRUS OPEN 03/02/2020 09:00\r\n1603 ASCENSION ISLAND AIRFIELD OPEN 02/02/2020 21:00\r\n1605 BOTTOMS WOOD, ST HELENA OPEN 03/02/2020 09:00\r\n1608 PORT STANLEY, FALKLAND IS CLOSED 31/12/1980 23:00\r\n1609 MOUNT PLEASANT, FALKLAND IS OPEN 03/02/2020 09:00\r\n56810 MOUNT OLYMPUS OPEN 16/04/2019 09:00\r\n61737 MOUNT KENT, FALKLAND ISLANDS OPEN 03/02/2020 09:00\r\n61743 MOUNT BYRON, FALKLAND ISLANDS OPEN 03/02/2020 09:00\r\n61744 MOUNT ALICE, FALKLAND ISLANDS OPEN 02/02/2020 05:00" }, { "ob_id": 32759, "uuid": "465d86a5750447128f24f79c4f2ecdd4", "short_code": "ob", "title": "BBUBL: 1 km gridded output from WRF v3.6.1 model runs for the Birmingham conurbation for 2015", "abstract": "This dataset contains a range of parameters from a 1 km gridded output from runs of version 3.6.1 of the Weather Research and Forecasting (WRF) model deployed on the ARCHER UK National Supercomputing Service. These runs were part of the NERC funded BBUBL project (Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer - also known as City Flocks, NERC grant award NE/N003195/1). The domain of the model runs was over the set over Birmingham conurbation for all of 2015. This geo-temporal domain encompasses measurements of the urban boundary layer obtained from instrumentation attached to birds flown around the area. See related dataset.\r\n\r\nThe WRF model set up followed that used by Heaviside et al. (2015) - see linked documentation for details - and was run on the ARCHER UK National Supercomputing Service. Meteorology data from the European Centre for Medium-range Weather Forecasts (ECMWF) ERA-interim reanalysis data for initial and lateral boundary conditions.\r\n\r\nThe WRF v3.6.1 model set up implemented in this study included four nested domains. The domains had grid resolutions of 36 km x 36 km, 12 km x 12 km, 3 km x 3 km and 1 km x 1 km. The finest domain covered the West Midlands, centering over Birmingham. The multi-layer building energy parametrization (BEP) scheme with three land-use types (low-intensity residential, high-intensity residential and industrial/commercial) was also used." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 195821, 147746, 147745, 147744, 147750, 147749, 147748, 147747, 147751, 147752 ], "onlineresource_set": [], "project_set": [ 32757 ] }, { "ob_id": 33122, "uuid": "5297667993904b12b0f8cbd8400ab56b", "short_code": "coll", "title": "ORCHESTRA - Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports: Innovative model run output", "abstract": "ORCHESTRA is a NERC-funded Long Term Science programme that involves scientists from many NERC Centres. This 5 year project began in spring 2016 and will use a combination of data collection, analyses and computer simulations to radically improve our ability to understand and predict the circulation of the Southern Ocean and its role in the global climate, with particular emphasis on the way that the Southern Ocean absorbs and stores heat and carbon.\r\nThis Collection provides the outputs of innovative model runs of the 1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean carried out within the project", "keywords": "", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33116, "uuid": "67ad0c489e2b4d18aa152e78f28ae0c0", "short_code": "ob", "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do interannually-varying forced control run (1978 - 2017)", "abstract": "The dataset is a 40 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. This is the second of two control runs and was initialised from the end of the 30th year (nominally 1978) of CORE2NYF (Munday et al., 2021), a 3+37 year control run forced with CORE2 (corrected normal year forcing version 2.0) normal year forcing.\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation." }, { "ob_id": 33115, "uuid": "aa4106a7a35246dfb84fb925a7d65650", "short_code": "ob", "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do with absolute wind stress experiment (1988 - 2007)", "abstract": "The dataset is a 20 year experiment using a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. The experiment neglects the ocean surface current in the bulk formula calculations for surface fluxes, so-called absolute wind stress. It starts from the end of 1987 of JRA55IAF (Munday et al., 2021).\r\n\r\nForced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation." }, { "ob_id": 32844, "uuid": "2e982e6692e3427dbe35e64ad9dee12d", "short_code": "ob", "title": "1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: CORE2 normal year forced control run (1951-1987)", "abstract": "The dataset is a 37 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA LTS-M project. It uses the NEMO \"extended\" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run (excluding a three year spinup period) and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics.\r\n\r\nForced by the GFDL (Geophysical Fluid Dynamics Laboratory) CORE2 (corrected normal year forcing version 2.0) normal year forcing. With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation. Initialised from January of a climatology of ECCOv4r2 (Estimating the Circulation and Climate of the Ocean) in nominal year 1948." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 147925, 147920, 147927, 147926, 147923, 147922, 147921, 147924, 147928 ], "onlineresource_set": [ 43408, 43414 ], "project_set": [ 32626 ] }, { "ob_id": 33184, "uuid": "37d6ea7956a74af0bef827b94e0fb602", "short_code": "coll", "title": "EUMETNET Sandbox: surface observations from Met Office WOW and Netatmo networks.", "abstract": "The aim of the EUMETNET Sandbox is to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe first datasets to be made available on the Sandbox are two datasets from Personal Weather Stations (PWS) provided by Netatmo and WOW. These datasets are historical archives for a single year (2020) to support development of quality control tools and other activities carried out by EUMETNET Members and ECMWF.\r\n\r\nThe Netatmo and WOW Datasets contain land surface observations, usually from weather stations located in the gardens of the public. The data are not quality controlled prior to being made available in the CEDA Archive. The datasets are stored in the format and resolution provided by the Met Office (for WOW data) and Netatmo. The WOW data are stored in a csv format with a single file per month. The files contain the data from all WOW stations within Europe. The Netatmo data are stored in tar/zip files, one file per country per month.", "keywords": "EUMETNET, WOW, Netatmo, meteorology, Europe, land, daily, hourly", "publicationState": "published", "dataPublishedTime": "2021-12-10T09:40:03", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 220 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33187, "uuid": "e8793d74a651426692faa100e3b2acd3", "short_code": "ob", "title": "EUMETNET Sandbox: Netatmo observing network data v1", "abstract": "The Netatmo V1 dataset contains observations from all Public Weather Stations (PWS) contributing to the Netatmo database within Europe. Netatmo is a company that designs and manufactures a range of smart weather station instruments for the home. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by Netatmo. The data are provided in a single file per month per country*.\r\n\r\nThe data were extracted from the Netatmo database country by country. \r\n\r\nThe meteorological values are unchanged from those extracted from the Netatmo archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied. \r\n\r\nThe data were extracted from the Netatmo database by Netatmo operators of the Netatmo system. The data have not been manipulated to meet any international data format standards. \r\n\r\nFor each station there is always a metadata file 'n'.metadata.json. There are up to 4 data files associated with each station represented by a metadata file. In some cases, all 4 data files are present for the station. In other cases, only one data file is present. The 'n' in the file name allows the metadata file to be associated with the meteorological data files\r\n\r\n1. n.pressure.historic.csv - surface pressure for station n\r\n2. n.outdoor.historic.csv - Contains air temperature and humidity for station n\r\n3. n.wind.historic.csv - Contains wind and gust data for station n\r\n4. n.rain.historic.csv - rainfall data for station n\r\n\r\nThe data files are semi-colon separated and use UNIX epoch time \r\n*Countries present in the Netatmo dataset\r\n\r\nAustria, Spain, Iceland, Norway, Belgium, Finland, Italy, Poland, Switzerland, France, Luxembourg, Portugal, Cyprus, United Kingdom, Latvia, Serbia, Czech Republic, Greece, Montenegro, Sweden, Germany, Croatia, North Macedonia, Slovenia, Denmark, Hungary, Malta, Slovakia, Estonia, Ireland and the Netherlands" }, { "ob_id": 33186, "uuid": "ea70491805b14edf957d69cbc27a8d81", "short_code": "ob", "title": "EUMETNET Sandbox: Met Office WOW data v1", "abstract": "The Met Office WOW V1 dataset contains observations from all Public Weather Stations (PWS) contributing to WOW (Weather Observations Website) within Europe. The dataset is for a single year (2020), made available for use within the EUMETNET Sandbox project. EUMETNET (a grouping of 31 European National Meteorological Services) instigated the EUMETNET Sandbox project to bring novel observations and observations from technology trials and field campaigns to the research community to enable R&D activities.\r\n\r\nThe data are not quality controlled and are presented in the format provided by the Met Office. The data are provided in a single file per month.\r\n\r\nThe data were extracted from the WOW database using a latitude/longitude bounding box (North West corner 90N 70W to South East corner 10N 40E) so there are a small number of stations outside of Europe present.\r\n\r\nThe meteorological values are unchanged from those extracted from the WoW archive. For example, there is no Quality Control of the data, no calibration of the instruments and no unit conversions have been applied.\r\n\r\nThe data were extracted from the WoW archive by the Met Office operators of the WoW system. The data have not been manipulated to meet any international data format standards. The file names have been modified, from those provided by the Met Office, to contain location, data and status information.\r\n\r\nThe records for each station are comma separated. Not all sites report all variables, nor at all times. In most cases only the principle meteorological variables, e.g., Air temperature, Wet bulb, etc. are present. For a full list of available parameters within the files see the 'variables' information on this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 148275, 148210, 148191, 148190, 148189, 148188, 148187, 148186, 148276 ], "onlineresource_set": [ 43503, 43504 ], "project_set": [ 33185 ] }, { "ob_id": 33235, "uuid": "eaec37f29d234843bfd50accee2de0d0", "short_code": "coll", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Collection of datasets of altimeter along-track high resolution sea level anomalies and associated trends in some coastal regions, v1.1", "abstract": "This dataset collection contains various along-track sea level anomaly products derived from satellite altimetry by the ESA Sea Level Climate Change Initiative project.\r\n\r\nTwo datasets containing along-track sea level anomalies derived from satellite altimetry have been derived; one containing data from the JASON satellites (JASON-1, JSON-2, and JSON-3), and the other from the RA2 instrument on ENVISAT and the Altika instrument on SARAL satellite missions.\r\n\r\nThese have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). \r\n\r\nThe products benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nAdditionally a database of coastal sea level anomalies and associated trends from Jason satellite altimetry, derived from the JASON sea level anomaly product is included.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 31825, "uuid": "a386504aa8ae492f9f2af04c109346e9", "short_code": "ob", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): A database of coastal sea level anomalies and associated trends from Jason satellite altimetry from 2002 to 2018", "abstract": "This dataset contains 17-year-long (June 2002 to May 2018 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of six regions: Mediterranean Sea, Northeast Atlantic, West Africa, North Indian Ocean, Southeast Asia and Australia. Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales. \r\n\r\nThis dataset has been derived from the ESA SL_cci+ v1.1 dataset of coastal sea level anomalies (also available in the catalogue, DOI:10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005), which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series. This large amount of coastal sea level estimates has been further analysed to produce the present dataset: it consists in a selection of 429 portions of satellite tracks crossing land for which valid sea level time series are provided at monthly interval together with the associated sea level trends over the 17-year time span at each along-track 20-Hz point, from 20 km offshore to the coast.\r\n\r\nThe main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.\r\n\r\nThis dataset has a DOI: https://doi.org/10.17882/74354" }, { "ob_id": 31822, "uuid": "222cf11f49a94d2da8a6da239df2efc4", "short_code": "ob", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions (2002-2018) from the JASON satellites, v1.1", "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the Jason-1, Jason -2 and Jason-3 satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). These six time series cover the period from 15 January 2002 to 30 May 2018.\r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). During the project, the product will be extended in spatial coverage and with additional altimeter missions. This version of the dataset is v1.1. (DOI: 10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005)" }, { "ob_id": 33045, "uuid": "2e3a3408af2f4e918458c09d4e5f7460", "short_code": "ob", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions from ENVISAT (2002-2010) and SARAL (2013-2016) satellite altimetry, v1.1", "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the RA2 instrument on ENVISAT and the Altika instrument on SARAL satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). \r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe Envisat and SARAL/AltiKa missions have the same ground track but the temporal gap between both missions prevents from computing reliable trends during the total period between both missions.\r\n\r\nThis dataset has been produced by the Climate Change Initiative Coastal Sea Level team, within the extension phase of the European Sapce Agency (ESA) Climate Change Initiative." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 148390, 148389, 148388, 148387, 148386, 148385, 148384, 148383 ], "onlineresource_set": [ 43532, 43533 ], "project_set": [] }, { "ob_id": 33256, "uuid": "770a885a8bc34d51ad71e87ef346d6a8", "short_code": "coll", "title": "The North Atlantic Climate System Integrated Study: model run output", "abstract": "ACSIS (the North Atlantic Climate System Integrated Study) was an integrated programme of sustained observations, synthesis, and numerical modelling designed to address the overarching objective of enhancing the UK's capability to detect, attribute and predict changes in the North Atlantic (NA) Climate System, comprising: the North Atlantic Ocean, the atmosphere above it including its composition, and interactions with Arctic Sea Ice and the Greenland Ice Sheet. ACSIS was a partnership between six NERC centres (NCAS, NOC, BAS, NCEO, CPOM, PML) and the UK Met Office, exploiting the partners' unique capabilities in observing and simulating the atmosphere including its composition, the ocean, the cryosphere, and the fully coupled climate system.\r\nThis collection includes global ocean simulations generated within the project.\r\nACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1", "keywords": "", "publicationState": "published", "dataPublishedTime": "2021-10-22T15:25:06", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33222, "uuid": "119a5d4795c94d2e94f610647640edc0", "short_code": "ob", "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by CORE2 data", "abstract": "Monthly output from an integration of the GO6 configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the CORE2 (Coordinated Ocean-ice Reference Experiments version 2.0) corrected inter-annual forcing (CIAF) surface field dataset. UK Global Ocean GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2007. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ap795.\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)." }, { "ob_id": 37744, "uuid": "399b0f762a004657a411a9ea7203493a", "short_code": "ob", "title": "Model output from 1/12° global JRA55-forced integration of GO8p7 global ocean-sea ice model from 1958 to 2021", "abstract": "Annual, monthly and 5-day ocean and ice output from an integration of the UK Global Ocean GO8p7 configuration, based on version 4.0.4 of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric analysis, Tsujino et al., 2018) surface field dataset. The complete dataset includes: full monthly and annual mean ocean fields; monthly mean sea ice fields; monthly and annual mean global mean scalar quantities; and 5-day mean values of a subset of 2-dimensional fields, including surface fields and bottom pressure. The present integration is on the 1/12° eORCA12 global grid. The model is initialised from an average of years 1995-2014 of the EN4 climatology (Good et al., 2013), and is integrated from 1958 to 2021. The model was run on the Archer2 HPC platform. The integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)." }, { "ob_id": 37325, "uuid": "e0a895453c7f4ba8b6864580d0a4b56a", "short_code": "ob", "title": "ACSIS: Pan-Arctic sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology without modifications with NCEP Reanalysis-2 atmospheric forcing data from 1980 - 2020", "abstract": "This dataset includes model output from a stand-alone ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) with an atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2) data (Kanamitsu et al., 2002, updated 2020). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology\r\nocean model: mixed-layer\r\nperiod: 1980-2020\r\natmospheric forcing: NCEP2\r\ndomain: pan-Arctic\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37334, "uuid": "16760feb788a4c86ae94d11887be265f", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology without modifications with CORE II atmospheric forcing data from 1960 - 2009", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: CORE II surface data (Large & Yeager, 2009). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology\r\nocean model: NEMOv3.6\r\nperiod: 1960-2009\r\natmospheric forcing: COREII\r\ndomain: global\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 33226, "uuid": "4c545155dfd145a1b02a5d0e577ae37d", "short_code": "ob", "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by JRA55 data", "abstract": "Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric reanalysis: Tsujino, 2018) surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2020. The sea-ice fields are only available for the period 1989 to 2001. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ba494.\t\t\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)." }, { "ob_id": 37330, "uuid": "d43b0d44716a4a76bfe757952bab582a", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology without modifications with DFS5.2 atmospheric forcing data from 1969 - 2015", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: DFS5.2 (Dussin et al., 2016). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology\r\nocean model: NEMOv3.6\r\nperiod: 1969-2015\r\natmospheric forcing: DFS5.2 (Drakkar)\r\ndomain: global\r\ngrid resolution: 0.25deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37323, "uuid": "888a2e5b9177455586127b48031461a6", "short_code": "ob", "title": "ACSIS: Pan-Arctic sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with NCEP Reanalysis-2 atmospheric forcing data from 1980 - 2020", "abstract": "This dataset includes model output from a stand-alone ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) with an atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2) data (Kanamitsu et al., 2002, updated 2020). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)\r\nocean model: mixed-layer\r\nperiod: 1980-2020\r\natmospheric forcing: NCEP2\r\ndomain: pan-Arctic\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37332, "uuid": "6c34c573dd214991a515c8927933e7c4", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with CORE II atmospheric forcing data from 1960 - 2009", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: CORE II surface data (Large & Yeager, 2009). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)\r\nocean model: NEMOv3.6\r\nperiod: 1960-2009\r\natmospheric forcing: CORE II\r\ndomain: global\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37739, "uuid": "e02c8424657846468c1ff3a5acd0b1ab", "short_code": "ob", "title": "Model output from 1/4° global JRA55-forced integration of GO8p7 global ocean-sea ice model from 1958 to 2021", "abstract": "Annual, monthly and 5-day ocean and ice output from an integration of the UK Global Ocean GO8p7 configuration, based on version 4.0.4 of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric analysis, Tsujino et al., 2018) surface field dataset. The present integration is on the 1/4° eORCA025 global grid. The complete dataset includes: full monthly and annual mean ocean fields; monthly mean sea ice fields; monthly and annual mean global mean scalar quantities; and 5-day mean values of a subset of 2-dimensional fields, including surface fields and bottom pressure. The model is initialised from an average of years 1995-2014 of the EN4 climatology (Good et al., 2013), and is integrated from 1958 to 2021. The model was run on the Archer2 HPC platform. The integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)." }, { "ob_id": 33251, "uuid": "a0708d25b4fc44c5ab1b06e12fef2f2e", "short_code": "ob", "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by DFS5.2 data", "abstract": "Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the DFS5.2 (Drakkar Forcing Set: Dussin et al, 2016) surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2015. The sea-ice fields are only available for the period 1958 to 2008. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ao882.\t\t\r\nThe integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1)." }, { "ob_id": 37328, "uuid": "632ccda332f54b85bdb190e44ad1b493", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with DFS5.2 atmospheric forcing data from 1969 - 2015", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: DFS5.2 (Dussin et al., 2016). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)\r\nocean model: NEMOv3.6\r\nperiod: 1969-2015\r\natmospheric forcing: DFS5.2 (Drakkar)\r\ndomain: global\r\ngrid resolution: 0.25deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37338, "uuid": "c50c863cca4f408ebe69847565548cb5", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with NCEP Reanalysis-2 atmospheric forcing data from 1960 - 2015", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) with an atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2) data (Kanamitsu et al., 2002, updated 2020). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)\r\nocean model: NEMOv3.6\r\nperiod: 1960-2015\r\natmospheric forcing: NCEP2\r\ndomain: global\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." }, { "ob_id": 37336, "uuid": "2a925024e89449eab009e1b32e925c38", "short_code": "ob", "title": "ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with DFS5.2 atmospheric forcing data from 1960 - 2015", "abstract": "This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: DFS5.2 (Dussin et al., 2016). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters. \r\n\r\nThe specific parameters for this dataset are:\r\nsea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)\r\nocean model: NEMOv3.6\r\nperiod: 1960-2015\r\natmospheric forcing: DFS5.2 (Drakkar)\r\ndomain: global\r\ngrid resolution: 1deg ORCA\r\n\r\nThe simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 148450, 148454, 148459, 148455, 148453, 148451, 148449, 148448, 148457, 148458, 178407, 178408 ], "onlineresource_set": [], "project_set": [ 24717 ] }, { "ob_id": 33485, "uuid": "7e53d9bd279746029225667954764570", "short_code": "coll", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Natural Environment Research Council (NERC) UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NERC, UKESM1-0-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33493, "uuid": "728424769c32404c87c843d32f51faa2", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"ssp370SST\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"SSP3-7.0, with SSTs prescribed from ssp370\" (ssp370SST) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38362, "uuid": "3a5906f2463341d993e4a88d483719fc", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"histSST-piO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with pre-industrial ozone precursor emissions\" (histSST-piO3) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38359, "uuid": "3f69f24a1b3f44c694c11c1c4cb830af", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"histSST-piCH4\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"historical SSTs and historical forcing, but with pre-industrial methane concentrations\" (histSST-piCH4) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r2i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33496, "uuid": "d3a4236ca2794a0495c50fed34a802f6", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"ssp370SST-lowO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"SSP3-7.0, prescribed SSTs, with low ozone precursor emissions\" (ssp370SST-lowO3) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33490, "uuid": "31b7e61c9cc2493d933baf6d3cd106cd", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-VOC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 VOC emissions\" (piClim-VOC) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38356, "uuid": "322be911e68649a3b13e1e0524d1586a", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"hist-1950HC\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"historical forcing, but with1950s halocarbon concentrations; initialized in 1950\" (hist-1950HC) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f2, r2i1p1f2 and r3i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 40642, "uuid": "c276009e063e45b2ba40bbd3f9e39128", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"volc-pinatubo-full\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, Eday, EdayZ, Emon, EmonZ, LImon, Lmon, Omon, SIday, SImon and day. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r16i1p1f2, r17i1p1f2, r18i1p1f2, r19i1p1f2, r1i1p1f2, r20i1p1f2, r21i1p1f2, r22i1p1f2, r24i1p1f2, r25i1p1f2, r26i1p1f2, r27i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33487, "uuid": "f26bb245261f45b4a5a69762f83df3b7", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-O3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 ozone precursor emissions\" (piClim-O3) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33483, "uuid": "2beef8c3a89940be9f053b2d0a5d961c", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"piClim-NOx\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-0-LL model output for the \"pre-industrial climatological SSTs and forcing, but with 2014 NOx emissions\" (piClim-NOx) experiment. These are available at the following frequencies: AERhr, AERmon, AERmonZ, Amon, CFmon, Eday, EdayZ, Emon, EmonZ, Lmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f4.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 149613, 149612, 149610, 149609, 149608, 149607, 149606, 149605, 149611 ], "onlineresource_set": [ 43769, 43770, 49132 ], "project_set": [ 31082 ] }, { "ob_id": 33649, "uuid": "58fc756de9264fd89c4b1d9f667f1f36", "short_code": "coll", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-ESM2-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33651, "uuid": "3b4fb31a95d840e486298a2002251cde", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aqua-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aquaplanet control\" (aqua-control) experiment. These are available at the following frequencies: Amon, CFday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34278, "uuid": "8a2a698abdcf412f93ce1ab18339ecb2", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33977, "uuid": "d19416a9e9844827ab7e659cc7a1f40b", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"hist-stratO3\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"historical stratospheric ozone-only run\" (hist-stratO3) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFday, CFmon, EdayZ and day. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33660, "uuid": "12188c0534f74984b1f614b9f5f48ebd", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: Amon, CFday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34281, "uuid": "9af76ebb58cb412dbddb084a0170d7a5", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"omip1-spunup\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized from at least a 2000-year spin up of the coupled physical-biogeochemical model\" (omip1-spunup) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33647, "uuid": "bc8da8f10bf54a7890ebfe59bac61ae1", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aqua-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aquaplanet with control SST and 4xCO2\" (aqua-4xCO2) experiment. These are available at the following frequencies: Amon, CFday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 44463, "uuid": "06c2e37b1dd54c4ca6122a4664e5f608", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"past1000\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: AERmon, Amon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33657, "uuid": "9d61beb5184b4ebe8c2fea6d4db8c8d4", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aqua-p4K\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aquaplanet with uniform 4K SST increase\" (aqua-p4K) experiment. These are available at the following frequencies: Amon, CFday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33654, "uuid": "6344b3c21d5c4aee864043025e0f92b4", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aqua-control-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"aquaplanet control with longwave cloud radiative effects off\" (aqua-control-lwoff) experiment. These are available at the following frequencies: Amon, CFday and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34284, "uuid": "65f0e43b98e04e729bae7ee02efb1a72", "short_code": "ob", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"omip2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"OMIP experiment forced by JRA55-do atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip2) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble members: r1i1p1f1, r1i1p2f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 150362, 150361, 150359, 150358, 150357, 150356, 150355, 150354, 150360 ], "onlineresource_set": [ 44193, 44194, 49139 ], "project_set": [ 33646 ] }, { "ob_id": 33743, "uuid": "bce92b9d25b44c77b0eabc8e9f2fb9b6", "short_code": "coll", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CMCC, CMCC-ESM2", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33751, "uuid": "4caf2255934946bc8a2d98a66c168202", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmonZ, Amon, CFday, Eday, Efx, Emon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34491, "uuid": "e5c762f062c44762acb1256680ff251a", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34488, "uuid": "6ddac7cfa2ef4baaaf608f1de4d3b285", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"ssp534-over\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"overshoot of 3.4 W/m**2 branching from ssp585 in 2040\" (ssp534-over) experiment. These are available at the following frequencies: 3hr, AERmon, AERmonZ, Amon, E3hr, Efx, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34235, "uuid": "b47831686cf948d5b66cdb50e3a6b82f", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"land-noLu\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34479, "uuid": "887b614e433a4aeab02d557fc1ecd194", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33748, "uuid": "f4e95666bb1841fb89482bf56a2d9e24", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERmon, AERmonZ, Amon, CFday, E3hr, Eday, Efx, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33745, "uuid": "5c20df3be60a4201aa3cb845ed2ab05a", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34485, "uuid": "fba91df4853e446e8c57bd3742dbfa06", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERmon, AERmonZ, Amon, E3hr, Efx, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34266, "uuid": "5810ae2eb6a7452299c0a79f9ddb5045", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"omip1\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"OMIP experiment forced by Large and Yeager (CORE-2, NCEP) atmospheric data set and initialized with observed physical and biogeochemical ocean data\" (omip1) experiment. These are available at the following frequencies: Oday, Ofx and Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33741, "uuid": "574a204b2d2240b4969979aa26501ebc", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34482, "uuid": "8b2bc7e132a44e208e0d02fd43937af3", "short_code": "ob", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-ESM2 model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERmon, AERmonZ, Amon, E3hr, Eday, Efx, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 150836, 150835, 150833, 150832, 150831, 150830, 150829, 150828, 150834 ], "onlineresource_set": [ 44474, 44475, 49177 ], "project_set": [ 29255 ] }, { "ob_id": 33771, "uuid": "d9ed9508007448659139d92e43d3ba84", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-AerChem model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-AerChem", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33782, "uuid": "d2d093f4afe54cf49da199db83dbc51e", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERmon, AERmonZ, Amon, CFmon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33773, "uuid": "8c135f786d904e45a0f5f7204675db73", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33776, "uuid": "39279a787f69427d815192ca6458582e", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, AERday, AERmon, AERmonZ, Amon, CFday, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34500, "uuid": "4924f423bbc646c3b650cd9a92aff4bb", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33779, "uuid": "27813c7c87894902bdb672a5fc16cc1f", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33769, "uuid": "590f273c0ab14033ac50bd2f0706de8d", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Ofx, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34344, "uuid": "64853764956c4f50be8f4ef82a3e0785", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-AerChem model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 151339, 151307, 151274, 151273, 151272, 151271, 151270, 151269, 151275, 151308, 151340, 151309, 151341, 151276, 151342, 151277, 151310, 151311, 151343, 151278, 151312, 151279, 151344, 151280, 151345, 151313, 151314, 151281, 151346, 151315, 151282, 151347, 151316, 151283, 151348, 151349, 151284, 151317, 151318, 151350, 151285, 151351, 151319, 151286, 151287, 151320, 151352, 151288, 151321, 151353, 151322, 151354, 151289, 151290, 151355, 151323, 151291, 151324, 151356, 151292, 151357, 151325, 151293, 151326, 151358, 151359, 151327, 151294, 151328, 151360, 151295, 151361, 151296, 151329, 151362, 151330, 151297, 151331, 151363, 151298, 151364, 151332, 151299, 151300, 151333, 151365, 151301, 151334, 151366, 151367, 151335, 151302, 151303, 151368, 151336, 151304, 151337, 151369, 151305, 151338, 151370, 151306 ], "onlineresource_set": [ 44557, 44558, 49151 ], "project_set": [ 31015 ] }, { "ob_id": 33787, "uuid": "c68ad0b6dfe64269a57874070a284b67", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-CC model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-CC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33792, "uuid": "ef9dc7705e0648f8b6c1f23cf0ef8ed1", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33801, "uuid": "de71cf74fb504bb9bb8008de4aa8b95f", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 6hrPlevPt, Amon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34503, "uuid": "6ae0330902f048b5967baf0d49245ad1", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33795, "uuid": "d1535aa7a15f43f9a03642ca26f92c51", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"esm-hist\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"all-forcing simulation of the recent past with atmospheric CO2 concentration calculated\" (esm-hist) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33785, "uuid": "c20d07b4e692494f919382310e43b225", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, Oday, Ofx, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33789, "uuid": "dc567372a8424c3097988d60db7cf06c", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: Amon, Oday, Ofx, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33798, "uuid": "376553085b61406b91a80ccc7fcd6bb4", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34506, "uuid": "d50db5c348bd42da914a584c62d486b5", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 152446, 152414, 152381, 152380, 152379, 152378, 152377, 152376, 152382, 152415, 152447, 152448, 152416, 152383, 152384, 152417, 152449, 152450, 152418, 152385, 152419, 152386, 152451, 152387, 152420, 152452, 152388, 152421, 152453, 152389, 152422, 152454, 152423, 152390, 152455, 152456, 152424, 152391, 152457, 152425, 152392, 152426, 152458, 152393, 152394, 152459, 152427, 152395, 152460, 152428, 152429, 152396, 152461, 152397, 152430, 152462, 152431, 152398, 152463, 152399, 152464, 152432, 152465, 152400, 152433, 152434, 152466, 152401, 152435, 152402, 152467, 152436, 152403, 152468, 152404, 152437, 152469, 152405, 152438, 152470, 152406, 152439, 152471, 152407, 152472, 152440, 152441, 152473, 152408, 152442, 152474, 152409, 152475, 152443, 152410, 152476, 152444, 152411, 152445, 152412, 152477, 152413 ], "onlineresource_set": [ 44606, 44607, 49159 ], "project_set": [ 31015 ] }, { "ob_id": 33806, "uuid": "e2e7df8c78bc4608b24d4e5a154abbab", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-LR model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33804, "uuid": "b7952776ba5546fdb2a15104a6f382b0", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-LR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, Eday, LImon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38784, "uuid": "094120c9096b4347b3a3a8f5e196aa92", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-LR model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-LR model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: 3hr, Amon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 153754, 153722, 153689, 153688, 153687, 153686, 153685, 153684, 153690, 153723, 153755, 153691, 153724, 153756, 153692, 153757, 153725, 153693, 153726, 153758, 153759, 153727, 153694, 153760, 153728, 153695, 153761, 153696, 153729, 153697, 153762, 153730, 153763, 153731, 153698, 153699, 153732, 153764, 153700, 153733, 153765, 153734, 153701, 153766, 153767, 153735, 153702, 153768, 153736, 153703, 153704, 153769, 153737, 153738, 153770, 153705, 153706, 153739, 153771, 153740, 153707, 153772, 153708, 153741, 153773, 153774, 153709, 153742, 153775, 153710, 153743, 153744, 153776, 153711, 153712, 153745, 153777, 153713, 153746, 153778, 153779, 153747, 153714, 153780, 153748, 153715, 153716, 153781, 153749, 153782, 153717, 153750, 153783, 153718, 153751, 153752, 153784, 153719, 153720, 153753, 153785, 153721 ], "onlineresource_set": [ 44662, 44663, 49157 ], "project_set": [ 31015 ] }, { "ob_id": 33813, "uuid": "5a7fdd1d695040ed95c66dd0092216ee", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-VHR model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3P-VHR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3P-VHR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33811, "uuid": "2fddc05e8b224385a147073a62f26d4b", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3P-VHR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P-VHR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p2f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 154258, 154226, 154193, 154192, 154191, 154190, 154189, 154188, 154194, 154227, 154259, 154260, 154228, 154195, 154229, 154261, 154196, 154230, 154262, 154197, 154198, 154263, 154231, 154264, 154232, 154199, 154233, 154200, 154265, 154234, 154201, 154266, 154235, 154202, 154267, 154268, 154236, 154203, 154204, 154269, 154237, 154238, 154270, 154205, 154271, 154239, 154206, 154272, 154240, 154207, 154208, 154273, 154241, 154242, 154274, 154209, 154210, 154243, 154275, 154276, 154211, 154244, 154277, 154212, 154245, 154278, 154246, 154213, 154247, 154214, 154279, 154248, 154215, 154280, 154216, 154249, 154281, 154217, 154250, 154282, 154251, 154218, 154283, 154219, 154252, 154284, 154220, 154285, 154253, 154286, 154221, 154254, 154287, 154222, 154255, 154256, 154288, 154223, 154257, 154224, 154289, 154225 ], "onlineresource_set": [ 44684, 44685, 49158 ], "project_set": [ 31015 ] }, { "ob_id": 33817, "uuid": "eccb6e57382d405cbd1090d464f981ce", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-Veg-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33815, "uuid": "6d4ba43b7596451192298dd566cb1927", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1 and r2i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34515, "uuid": "9e353a18cd534b2f98b092c1003f7f6b", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"ssp119\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34527, "uuid": "b48e1720880c4353949c0907f460bedb", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34518, "uuid": "eeb5cf999f464f558207193851ec32e2", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34521, "uuid": "12b1a22e184e4fba8b7ce6f25ff9e58d", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 38839, "uuid": "4e01cc7fb0404ad696f49c24291d459b", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University." }, { "ob_id": 34524, "uuid": "54cfeda48f204e56b4060486a91493da", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33819, "uuid": "b91e9e2f056c4046b587fb71c5da44ba", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-Veg-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 154492, 154491, 154561, 154529, 154496, 154495, 154494, 154493, 154497, 154530, 154562, 154563, 154498, 154531, 154532, 154499, 154564, 154533, 154500, 154565, 154534, 154566, 154501, 154535, 154502, 154567, 154536, 154568, 154503, 154504, 154537, 154569, 154570, 154505, 154538, 154539, 154571, 154506, 154572, 154540, 154507, 154508, 154541, 154573, 154574, 154542, 154509, 154543, 154510, 154575, 154544, 154576, 154511, 154577, 154512, 154545, 154578, 154513, 154546, 154579, 154514, 154547, 154548, 154515, 154580, 154549, 154516, 154581, 154582, 154550, 154517, 154583, 154518, 154551, 154584, 154519, 154552, 154553, 154585, 154520, 154586, 154554, 154521, 154587, 154522, 154555, 154523, 154556, 154588, 154524, 154557, 154589, 154590, 154558, 154525, 154591, 154526, 154559, 154560, 154592, 154527, 154528 ], "onlineresource_set": [ 44695, 44696, 49180 ], "project_set": [ 31015 ] }, { "ob_id": 33842, "uuid": "d3976d0f00a44b06940062588f3db20a", "short_code": "coll", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM5A2-INCA", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33850, "uuid": "5d301231b4c74fa6a7ddb42b3a42a878", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, CF3hr, CFday, CFsubhr, E1hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33847, "uuid": "7bd1a2cfabe44b439734354dab402ee8", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, E1hr, E3hr, E3hrPt, Eday, EdayZ, Efx, Emon, Eyr, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33840, "uuid": "01b27afcc88245c1a9e1efc065f99938", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon, CFday, Oday, Odec, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33844, "uuid": "f991ad205fa8449a83a0b268c4414ba1", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Odec, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34530, "uuid": "d1f1da5d6be444f1878ebad7ca5978e2", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERmon, AERmonZ, Amon, CFmon, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34533, "uuid": "95c0792608024189ab94434bf0b0a057", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM5A2-INCA model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, AERday, AERhr, AERmon, AERmonZ, Amon, CFday, CFmon, CFsubhr, E3hr, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Odec, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 155126, 155125, 155123, 155122, 155121, 155120, 155119, 155118, 155124 ], "onlineresource_set": [ 44777, 44778, 49164 ], "project_set": [ 28518 ] }, { "ob_id": 33855, "uuid": "58fcf686ac9f49d7a1165480b38d9b45", "short_code": "coll", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-LR-INCA", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38473, "uuid": "f21e694ceec5452d95aa97e9aa8c0fde", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERhr, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, CFsubhr, E1hr, E3hr, E3hrPt, Eday, EdayZ, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34374, "uuid": "d0317b0411cb4c73811839e0c457b0fe", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"piClim-control\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"Control simulation providing baseline for evaluating effective radiative forcing (ERF)\" (piClim-control) experiment. These are available at the following frequencies: Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34371, "uuid": "48fe175c6851407a9d75dcbc3bc8e7bd", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"piClim-aer\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"effective radiative forcing by present-day aerosols\" (piClim-aer) experiment. These are available at the following frequencies: AERmon, Amon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33853, "uuid": "e265ce5c54e9414896c4c959095c09ad", "short_code": "ob", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR-INCA model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, CFday, Oday, Ofx, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 155195, 155194, 155192, 155191, 155190, 155189, 155188, 155187, 155193 ], "onlineresource_set": [ 44815, 44816, 49176 ], "project_set": [ 28518 ] }, { "ob_id": 33859, "uuid": "3030e41d2a5b4d0cb2492c007df4ea03", "short_code": "coll", "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team MIROC-ES2H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, MIROC-ES2H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33857, "uuid": "c7f2c6e547e846e695a2d7ad17cc60e8", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 40294, "uuid": "f317c8d729404e329eb88de1716d4389", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f2, r1i1p2f2, r1i1p3f2 and r1i1p4f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." }, { "ob_id": 40291, "uuid": "40c6b352d1d04007831b4df511217fdb", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2H model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2H model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f2, r1i1p2f2, r1i1p3f2 and r1i1p4f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 155224, 155222, 155219, 155218, 155217, 155216, 155215, 155214, 155220, 155223, 155225, 155221 ], "onlineresource_set": [ 44826, 44827, 49144 ], "project_set": [ 28348 ] } ] }