Observation Collection List
Get a list of Project objects. Projects have a 1:1 mapping with Observations.
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{ "count": 948, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=900", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=700", "results": [ { "ob_id": 33869, "uuid": "0595a5a21f864ae69a8a333c84ab46c3", "short_code": "coll", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-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) ICON-ESM-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, ICON-ESM-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33874, "uuid": "d2a3f3279be64b75be2188d8397fa44e", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-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) ICON-ESM-LR model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, Amon, Eday, 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33871, "uuid": "8ed56c33224749929e0470542566eb21", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-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) ICON-ESM-LR 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33877, "uuid": "351117853bfc4ce3987d6fe2aeac8499", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-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) ICON-ESM-LR model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: Amon, Eday, 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 33867, "uuid": "30a99bae5ae642bbab765b08829eab7d", "short_code": "ob", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-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) ICON-ESM-LR 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 155287, 155288, 155289, 155290, 155291, 155293, 155286, 155294, 155292 ], "onlineresource_set": [ 44859, 44860, 49145 ], "project_set": [ 29312 ] }, { "ob_id": 33897, "uuid": "647f082b7818462984cd0a1ad2362191", "short_code": "coll", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H 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-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, NASA-GISS, GISS-E2-2-H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 33899, "uuid": "ae3096578f5147a1a093e3ee08dbf497", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H 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-H model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) 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": 33895, "uuid": "c3a1b19da2d04c14ab1d335e18b1fa5e", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H 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-H model output for the \"1 percent per year increase in CO2\" (1pctCO2) 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": 33902, "uuid": "61c38ae1f782493c94ff7d5655c31791", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H 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-H model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, 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": 33905, "uuid": "c6f4b5f697e04b788bcfe3a97a07f70d", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H 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-H model output for the \"pre-industrial control\" (piControl) 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 155433, 155434, 155435, 155437, 155438, 155430, 155431, 155432, 155436 ], "onlineresource_set": [ 44946, 44947, 49160 ], "project_set": [ 28606 ] }, { "ob_id": 34060, "uuid": "ced1bee759d3469791d3419c2c625716", "short_code": "coll", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-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) HadGEM3-GC31-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, HadGEM3-GC31-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34074, "uuid": "665fa32c29554a2eb9699816bb16182c", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"faf-stress\" 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-LL model output for the \"control plus perturbative surface flux of momentum into ocean\" (faf-stress) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, 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": 34293, "uuid": "306f1669449948969a92eb01f77c870d", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"midHolocene\" 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-LL model output for the \"mid-Holocene\" (midHolocene) 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": 34290, "uuid": "362e3ac8595b4c0893d8c558a9ce94ae", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"lig127k\" 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-LL model output for the \"last interglacial (127k)\" (lig127k) 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": 34065, "uuid": "595736437c0d4095a08967b931e0a679", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL 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 Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA0pct) experiment. These are available at the following frequencies: Emon and Omon. 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": 34068, "uuid": "00b232eeadd24b1c9bcb2bfbdab82a16", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL 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 Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA50pct) experiment. These are available at the following frequencies: Emon and Omon. 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": 34071, "uuid": "f43091cf27b349a79aee8f3f7218df24", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"faf-passiveheat\" 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-LL 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, Emon, LImon, Lmon, 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." }, { "ob_id": 34058, "uuid": "ef91035fdb8c42c299bb834414fae08c", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"faf-all\" 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-LL 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 frequencies: Amon, Emon, LImon, Lmon, Omon, 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": 34296, "uuid": "e140dd4ec3d64da880f8ee71da5b4b1a", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"midPliocene-eoi400\" 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-LL model output for the \"mid-Pliocene warm period\" (midPliocene-eoi400) 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": 34077, "uuid": "600972a12c6a46129ab3f081da56fd2a", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"faf-water\" 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-LL model output for the \"control plus perturbative surface flux of water into ocean\" (faf-water) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, 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": 34062, "uuid": "9ba9b7d826e5496abe73d53f66fd1a46", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output for the \"faf-heat\" 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-LL model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 156471, 156472, 156473, 156474, 156475, 156476, 156478, 156479, 156477 ], "onlineresource_set": [ 45852, 45853, 49173 ], "project_set": [ 31082 ] }, { "ob_id": 34109, "uuid": "1a3bba5cbc7643039678f8736ff46009", "short_code": "coll", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-HR 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) HiRAM-SIT-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, AS-RCEC, HiRAM-SIT-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34111, "uuid": "ab3750968c7a493da98389d9121654aa", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-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 Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34107, "uuid": "3373cfac30c848c7872e1782c7892a31", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-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 Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-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 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": [ 156732, 156733, 156734, 156735, 156736, 156737, 156739, 156740, 156738 ], "onlineresource_set": [ 46014, 46015, 49147 ], "project_set": [ 30477 ] }, { "ob_id": 34116, "uuid": "2e05bd280e0d4b4ba85ad134a3f2c9e0", "short_code": "coll", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR 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) HiRAM-SIT-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, AS-RCEC, HiRAM-SIT-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34118, "uuid": "2ba01e0c5d7f4cf1ada485b8dba8bfee", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-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 Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR 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": 34114, "uuid": "d40cd72b818a482fb5ec72e044ea164c", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR model output for the \"highres-future\" 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) HiRAM-SIT-LR 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." }, { "ob_id": 34121, "uuid": "569b663269a94fa9971c3ff95f191e3e", "short_code": "ob", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR model output for the \"hist-1950\" 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) HiRAM-SIT-LR model output for the \"coupled historical 1950-2014\" (hist-1950) 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": [ 156771, 156772, 156773, 156774, 156775, 156776, 156778, 156779, 156777 ], "onlineresource_set": [ 46034, 46035, 49153 ], "project_set": [ 30477 ] }, { "ob_id": 34126, "uuid": "133382431f1a49e0a178743c39f30996", "short_code": "coll", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-HR 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-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, AWI, AWI-CM-1-1-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34124, "uuid": "f8f82c0d162e4b1f861d2261c98ed9d1", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-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 Alfred Wegener Institute (AWI) AWI-CM-1-1-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, Oday and Omon. 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": [ 156825, 156826, 156827, 156828, 156829, 156830, 156832, 156833, 156831 ], "onlineresource_set": [ 46063, 46064, 49154 ], "project_set": [ 30655 ] }, { "ob_id": 34130, "uuid": "2c313be9ae704e8a92577afc2a70c928", "short_code": "coll", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-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-CM-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-CM-1-1-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34128, "uuid": "95c582fbf1af4fb898f64b87f26958e1", "short_code": "ob", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-LR model output for the \"hist-1950\" 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-LR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, Oday and Omon. 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": [ 156849, 156850, 156851, 156852, 156853, 156854, 156856, 156857, 156855 ], "onlineresource_set": [ 46074, 46075, 49155 ], "project_set": [ 30655 ] }, { "ob_id": 34134, "uuid": "e5b2c9f5065e4701b79d12450b7ba81b", "short_code": "coll", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Beijing Climate Center (BCC) BCC-CSM2-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, BCC, BCC-CSM2-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34139, "uuid": "0ecb44f2a1444acab7f07454148409ea", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-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 Beijing Climate Center (BCC) BCC-CSM2-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: 3hr, Amon, Oday, 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34132, "uuid": "6cc7a7ca2598435180bfa7b80a5beacf", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-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 Beijing Climate Center (BCC) BCC-CSM2-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: 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": 34136, "uuid": "d87f4d881d344648b82c694c0ac68d05", "short_code": "ob", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-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 Beijing Climate Center (BCC) BCC-CSM2-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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 156873, 156874, 156875, 156876, 156877, 156878, 156880, 156881, 156879 ], "onlineresource_set": [ 46085, 46086, 49141 ], "project_set": [ 28265 ] }, { "ob_id": 34144, "uuid": "28d9ed89cc014aa08d094d0d061685b5", "short_code": "coll", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-H 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-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, CAS, FGOALS-f3-H", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34142, "uuid": "4842941e7cbb446b9144b41e959e22e4", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-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 Chinese Academy of Sciences (CAS) FGOALS-f3-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 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": 34260, "uuid": "1789ae1530c24b22a8d48c05e7a19a2e", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-H 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-H 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": 34146, "uuid": "3570bb95de644502b0bf67e283a6e933", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-H 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-H 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 156927, 156928, 156929, 156930, 156931, 156932, 156934, 156935, 156933 ], "onlineresource_set": [ 46114, 46115, 49156 ], "project_set": [ 30660 ] }, { "ob_id": 34205, "uuid": "513d58661d8c4d4991ab026debd242bc", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-HR 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) CESM1-CAM5-SE-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, NCAR, CESM1-CAM5-SE-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34207, "uuid": "43635825250644eab4cf58b5ada087e5", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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 National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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: 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": 34210, "uuid": "e557fda7f36d4b51a996b52f178fb40b", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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 National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-HR model output for the \"coupled historical 1950-2014\" (hist-1950) 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": 34203, "uuid": "6ed5c6b60fe949e0894f47ca845358aa", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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 National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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: 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 158166, 158167, 158168, 158169, 158170, 158171, 158173, 158174, 158172 ], "onlineresource_set": [ 46332, 46333, 49167 ], "project_set": [ 28424 ] }, { "ob_id": 34215, "uuid": "ca442697b5f5457a80c0c232b4f6733c", "short_code": "coll", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR 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) CESM1-CAM5-SE-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, NCAR, CESM1-CAM5-SE-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34217, "uuid": "7df4f0d8a6cc498c9a5eca286de22b17", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR model output for the \"highres-future\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR 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: 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": 34220, "uuid": "41f7cf191c0b477bb97eb42bee0c63e8", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR model output for the \"hist-1950\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR model output for the \"coupled historical 1950-2014\" (hist-1950) 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": 34213, "uuid": "ac0e75ac16bb47e197b464c5e937026e", "short_code": "ob", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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 National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-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: 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 158220, 158221, 158222, 158223, 158224, 158225, 158227, 158228, 158226 ], "onlineresource_set": [ 46361, 46362, 49170 ], "project_set": [ 28424 ] }, { "ob_id": 34240, "uuid": "963efec14bcb4ee9b39dcd73a38abacd", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg 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 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", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34238, "uuid": "ddeb7f738a484c378a3e3344d15c33ef", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg model output for the \"land-noLu\" 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 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 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": [ 158442, 158443, 158444, 158445, 158446, 158447, 158480, 158512, 158448, 158481, 158513, 158514, 158449, 158482, 158483, 158515, 158450, 158451, 158484, 158516, 158452, 158517, 158485, 158486, 158453, 158518, 158454, 158519, 158487, 158488, 158520, 158455, 158521, 158489, 158456, 158457, 158522, 158490, 158458, 158491, 158523, 158459, 158492, 158524, 158460, 158525, 158493, 158494, 158526, 158461, 158462, 158495, 158527, 158528, 158496, 158463, 158497, 158529, 158464, 158530, 158465, 158498, 158466, 158499, 158531, 158500, 158467, 158532, 158533, 158501, 158468, 158534, 158502, 158469, 158535, 158503, 158470, 158504, 158536, 158471, 158505, 158537, 158472, 158538, 158473, 158506, 158474, 158507, 158539, 158540, 158508, 158475, 158509, 158476, 158541, 158542, 158510, 158477, 158511, 158543, 158478, 158479 ], "onlineresource_set": [ 46435, 46436, 49171 ], "project_set": [ 31015 ] }, { "ob_id": 34565, "uuid": "1a6507dfd2be4d07bf989a67319b196c", "short_code": "coll", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-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, KIOST, KIOST-ESM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34576, "uuid": "39eb4743f37443288efd18a07179d83b", "short_code": "ob", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM 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, 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": 34573, "uuid": "1b1131f6298541be8d5fa58a3b5c8c28", "short_code": "ob", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, AERmon, Amon, E3hr, 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 official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, { "ob_id": 34570, "uuid": "1c98e90bab734709b3cc906aa24550c5", "short_code": "ob", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, Amon, LImon, Lmon, 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": 34567, "uuid": "41e95a4652b140198b51d7061efdf69e", "short_code": "ob", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-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 Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: 3hr, Amon, 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": 34563, "uuid": "ff610cf13d9e4c1ba92eb2a3c233b91b", "short_code": "ob", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: 3hr, Amon, 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 163999, 164000, 164001, 164002, 164003, 164004, 164006, 164007, 164005 ], "onlineresource_set": [ 47473, 47474, 49181 ], "project_set": [ 34562 ] }, { "ob_id": 34582, "uuid": "445fd8b172284b6eb7094c7602fb8fcf", "short_code": "coll", "title": "WCRP CMIP6: Chinese Academy of Meteorological Sciences (CAMS) CAMS-CSM1-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Meteorological Sciences (CAMS) CAMS-CSM1-0 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, CAMS, CAMS-CSM1-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34580, "uuid": "37c6f1c90f86427297b4e0dfa2fce11e", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Meteorological Sciences (CAMS) CAMS-CSM1-0 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 Meteorological Sciences (CAMS) CAMS-CSM1-0 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 164088, 164089, 164090, 164091, 164092, 164093, 164095, 164096, 164094 ], "onlineresource_set": [ 47522, 47523, 49182 ], "project_set": [ 34579 ] }, { "ob_id": 34602, "uuid": "4a85c0ef880e4f668cd4ec8e846855ef", "short_code": "coll", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour over land (CDR1), v3.2", "abstract": "This collection of data comprises an updated version of 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.\r\n\r\nThis is an updated version of the previous v3.1 version of the data which corrects an issue with the filtering of the data.", "keywords": "total column, water vapour, cci", "publicationState": "citable", "dataPublishedTime": "2022-02-21T16:59:08", "doiPublishedTime": "2022-02-22T14:44:44", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 34605, "uuid": "5bd687c7ea624e3aa68c51e242ae828a", "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 3.2", "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 v3.2. This is an updated dataset, which fixes an issue with the filtering of the v3.1 data." }, { "ob_id": 34603, "uuid": "d1c2018e17d54df384fdbf562d2a9e8b", "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 3.2", "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 v3.2. This is an updated dataset, which fixes an issue with the filtering of the v3.1 data." }, { "ob_id": 34606, "uuid": "fc3310aaa2fe4a26a29a63642e1164f2", "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 3.2", "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 v3.2. This is an updated dataset, which fixes an issue with the filtering of the v3.1 data." }, { "ob_id": 34604, "uuid": "80ad33b237084a8dbfb81ec5414e68dd", "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 3.2", "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 v3.2. This is an updated dataset, which fixes an issue with the filtering of the v3.1 data." } ], "identifier_set": [ 12057 ], "responsiblepartyinfo_set": [ 164170, 164171, 164172, 164173, 164174, 164175, 164176, 164177, 164178, 164179, 164180, 164181, 164182, 164183 ], "onlineresource_set": [ 47546, 47547 ], "project_set": [ 32934 ] }, { "ob_id": 34871, "uuid": "57cfc8b38d914abc8de02b647e879e66", "short_code": "coll", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Collection 1", "abstract": "This set of data comprises the first collection of land surface temperature datasets released by the ESA Land Surface Temperature Climate Change Initiative (LST_cci). \r\n\r\nData have been derived globally from a range of different satellites instruments.\r\n\r\nThe land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 33365, "uuid": "f1445bde2f1249c99bb5a59b71e9a9d7", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from ATSR-2 (Along-Track Scanning Radiometer 2), level 3 collated (L3C) global product (1995-2013), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Along-Track Scanning Radiometer (ATSR-2) on European Remote-sensing Satellite 2 (ERS-2). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and nighttime temperatures are provided in separate files corresponding to the morning and evening ERS-2 equator crossing times which are 10:30 and 22:30 local solar time. \r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length.\r\n\r\nAlso provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is near global over the land surface. Small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. ATSR-2 achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 22nd June 2003. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33362, "uuid": "058d3ad17a084f0bb8dc9b5dc5efdb7f", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): All-weather MicroWave Land Surface Temperature (MW-LST) global data record (1996-2020)", "abstract": "MW-LST is a data record of land surface temperature (LST) derived from the microwave instruments Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager / Sounder (SSMIS). Observations available at frequencies close to 18, 22, 26, and 85 GHz are used as an input to a retrieval algorithm that produces LST over all continental surfaces, twice per day (6 am/pm), at a spatial resolution of ~25 km, and over 25 years (1996-2020). \r\n\r\nThe data record has been produced by the company Estellus working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci). Compared with the remaining infrared LST data records of the LST_cci, the spatial resolution of the MW-LST is coarser, and the associated retrieval errors are larger. However, it offers LST estimates for clear-sky and cloudy conditions, therefore complementing the IR LST data records, which can only provide LST for clear skies. The data record is temporally and spatially complete, although in rare occasions some data can be missing due to missing observations, e.g., due to satellite maintenance operations or anomalous behavior. The data record is provided on a regular grid of 0.25x0.25 degrees, saved as daily, monthly, and yearly netcdf files. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty." }, { "ob_id": 33368, "uuid": "58a01734f841466daa1837353aee5ff8", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 24th February 2000 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33364, "uuid": "1115d8946ba74c7f8a9fc3bfee5513a0", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Envisat equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. AATSR achieves full Earth coverage in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 25th July 2002 and ends on 8th April 2012. There is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33363, "uuid": "6babb8d9a8d247bcb3da6aed42f4b59a", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33366, "uuid": "330b7c922a37420fabb3425671d7d7c6", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33370, "uuid": "ef8ce37b6af24469a2a4bdc31d3db27d", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2), the Advanced Along-Track Scanning Radiometer (AATSR) and the Sea and Land Surface Temperature Radiometer on Sentinel 3A (SLSTRA); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra) to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from August 1995 to July 2002; AATSR from August 2002 to March 2012; MODIS Terra from April 2012 to July 2016; and SLSTRA from August 2016 to December 2020. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at http://www.atsr.rl.ac.uk/dataproducts/availability/coverage/atsr-2/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st August 1995 and ends on 31st December 2020. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 30 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. \r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33369, "uuid": "6775e27575124407afeebb4bb1dfaaf5", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Spinning Enhanced Visible Infra-Red Imager (SEVIRI) on Meteosat Second Generation (MSG) 1, MSG 2, MSG 3, and MSG 4, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1, and MTSAT 2; and polar, Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Sea and Land Surface Temperature Radiometer SLSTR on Sentinel-3A and Sentinel-3B. However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 1st January 2009 and ends on 31st December 2020. \r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and data were processed in the UoL processing chain. The Geostationary data were produced by the Instituto Português do Mar e da Atmosfera (IPMA) before being merged into the final dataset.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." }, { "ob_id": 33367, "uuid": "5f66a881adf846bfaad58b0e6068f0ea", "short_code": "ob", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 17th November 2018 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 169582, 169583, 169584, 169585, 169586, 169587, 169588, 169589, 169592, 169591, 169593, 169590 ], "onlineresource_set": [ 50444, 50445 ], "project_set": [ 33361 ] }, { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "short_code": "coll", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps.", "keywords": "ceilometer, aerosol backscatter, cloud base height", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 220 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 35640, "uuid": "b518f9e0b22747b492406659f0b7fad2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Limoges, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Limoges, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07434.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36049, "uuid": "73fb9eb10f8b4123959f723eaf6f8c60", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Eyrarbakki, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Eyrarbakki, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04038.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35709, "uuid": "6706c506608d4abba7d65a3a96bd3d40", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Quimper, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Quimper, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07201.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35786, "uuid": "66f1471334b2446ab283b67040369c94", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Bonn, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Bonn, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10519.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36657, "uuid": "67e95475b15540f99c49b867abf68db5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Larkhill, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Larkhill, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03743.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36534, "uuid": "698710cd197a4b0982dc5b29237302ef", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Neuchatel, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Neuchatel, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06604.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35565, "uuid": "6a7d8957a25a41fa950a510e82336f6a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bordeaux, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bordeaux, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07510.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36795, "uuid": "5c2bd4bbee5743558ae8831e3172b040", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Menorca, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Menorca, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08314.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35324, "uuid": "7c320c7379954ec8a4052013ce2ad2a1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Tusimice, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Tusimice, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11438.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36708, "uuid": "2373c5027a9e4489bdc5ad97a05e50d2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Wattisham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Wattisham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03590.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36347, "uuid": "7c39a1fd8e5a4bf9ba58527212107360", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Edsbyn, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Edsbyn, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02338.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36155, "uuid": "6cdf40b8d47c4f2cad9f04268585167a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Maastricht Aachen Ap, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Maastricht Aachen Ap, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06380.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35383, "uuid": "7ccb9f6000b84045936f29111afc507e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Jomala Maarianhamina Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jomala Maarianhamina Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-100907.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35401, "uuid": "6d04b9ede4664c2fa954cbcc09fa8a9b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kemi Kemi Tornio Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kemi Kemi Tornio Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101840.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36603, "uuid": "6d3da9a17323426fb88329ab92294dd1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Aldergrove, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Aldergrove, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03917.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35363, "uuid": "bd18bbb373f84cc99719a6c3ed83dcc0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Inari Ivalo Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Inari Ivalo Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-102033.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36143, "uuid": "6e0b095b7f734beb83c7652b61246baa", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Hoogeveen, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Hoogeveen, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06279.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44720, "uuid": "c16b4d0d06eb4c6c8dd5081e6cb38a98", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Wien Hohe Warte, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Wien Hohe Warte, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11035.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35512, "uuid": "c16c268adb954015b08d37075c3dbbc9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Ajaccio, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Ajaccio, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07761.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36243, "uuid": "863cb3d826074252af15636fd74dd519", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Base Aerea De Moron, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Base Aerea De Moron, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08397.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35910, "uuid": "c69d9d5b3c60404a9e95e827708bb655", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at List, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at List, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10020.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35777, "uuid": "da599c3008bd4d8c934c634a18c1d05a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from TU Berlin's Lufft CHM15k \"Nimbus\" instrument deployed at Berlin Charlottenburg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Technische Universität Berlin (TU Berlin)'s Lufft CHM15k \"Nimbus\" deployed at Berlin Charlottenburg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-0-10386.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35648, "uuid": "57b476347b0f4ebe9b858a2f8e498f51", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Marignane, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Marignane, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07650.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44717, "uuid": "709af1da730f4c2aaabfdc98ef8c20f4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Radstadt Tandalier, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Radstadt Tandalier, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11208.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35914, "uuid": "28fde1cdbbef498fbd08e9a32fc82df3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Luebeck, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Luebeck, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10156.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35357, "uuid": "36accced404441c3a804614d382e70ce", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Ilmajoki Seinajoki Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Ilmajoki Seinajoki Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137188.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35433, "uuid": "58f3f014006b41cba198d1ea3b545c69", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kuusamo Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kuusamo Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101886.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35652, "uuid": "c9719f69983a4cc299146406721f2efa", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Meaulte, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Meaulte, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07059.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35818, "uuid": "372c28d2e0514fedb2be266b49d33bbd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Fehmarn, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Fehmarn, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10055.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35725, "uuid": "8a7fa4c9cc014946998a1679c137b146", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Rouen, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Rouen, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07037.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36404, "uuid": "cd51a3398548497eb6b7e0a265bfe9c4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Kvikkjokk-Arrenjarka, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Kvikkjokk-Arrenjarka, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02119.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35971, "uuid": "373b689d6434400f95a87b63f28752f1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Soltau, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Soltau, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10235.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35999, "uuid": "38f52a82ff024ab0a3992df0db5cbf8e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Wunsiedel, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Wunsiedel, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10686.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44977, "uuid": "b25cf8635ce7441ea53a064601080553", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ECCC's vaisala-cl61 instrument deployed at Edmonton, Canada", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Environment and Climate Change Canada (ECCC)'s vaisala-cl61 deployed at Edmonton, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44981, "uuid": "a8370ba67b9f434bb9df10331c1035e5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Plzen, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Plzen, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11450.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44984, "uuid": "b4d3598d4a5945bfbd54dfa81d784080", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 instrument A deployed at Keflavikurflugvollir, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 deployed at Keflavikurflugvollir, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04018.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44989, "uuid": "7309d102a8134ebba395be1a09ce4318", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 instrument B deployed at Keflavikurflugvollir, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Isavia's vaisala-cl51 deployed at Keflavikurflugvollir, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04018.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44996, "uuid": "3cf0b12a4aef4ea9bf1e050447deb927", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-IMAA's lufft-chm15k instrument deployed at Potenza, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Methodologies for Environmental Analysis (CNR-IMAA)'s lufft-chm15k deployed at Potenza, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-POT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44992, "uuid": "42b9f16b9ae64860b62afec7fb1fc73f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's lufft-chm15k instrument deployed at Capo Granitola, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s lufft-chm15k deployed at Capo Granitola, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-CGR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35717, "uuid": "398eb33b22f043b4b2211f42d673bb87", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Rodez, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Rodez, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07552.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35348, "uuid": "733e6368f1ce4dfa8d89d6d5c2488b98", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL51 instrument deployed at Helsinki, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL51 deployed at Helsinki, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02998.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35721, "uuid": "5d78a6643b4d4b50b984ec8970f476d5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Roissy, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Roissy, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07157.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45006, "uuid": "c09b691981a04facbc9c76935aa568e1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkn, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkn, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06213.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36711, "uuid": "8de3b4b1f8204fcb89f418d9562e1c3d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Wattisham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Wattisham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03590.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45010, "uuid": "bf14740ba83a4a77afc0c6d79ea72ade", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkwa, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkwa, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06218.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45014, "uuid": "109457269d12485f87c09aaac1d6d6ca", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Hkza, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Hkza, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06216.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36135, "uuid": "25c203b78d1a4e64ad35b6699f066b5e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Gilze Rijen, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Gilze Rijen, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06350.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45018, "uuid": "9c500e2fb6974ed392cb71e02e199bd3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NIWA's vaisala-cl61 instrument deployed at Lauder, New Zealand", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Institute of Water & Atmospheric Research (NIWA)'s vaisala-cl61 deployed at Lauder, New Zealand.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-LAU.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45028, "uuid": "0120617e79d74f8bbd5d228727c6cbc7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Universidade de Évora's lufft-chm15k instrument deployed at Evaso, Portugal", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universidade de Évora's lufft-chm15k deployed at Evaso, Portugal.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45023, "uuid": "f9cb5237d72a43ea8b5fcfbf0ac95547", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Norwegian Environmental Research Institution's vaisala-cl61 instrument deployed at Birkenes, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Norwegian Environmental Research Institution's vaisala-cl61 deployed at Birkenes, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-BIR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45033, "uuid": "57c574812d36414bb6c56732221c83d1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 instrument deployed at Evaso, Portugal", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 deployed at Evaso, Portugal.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35902, "uuid": "749411a3c6be4441a1a95ea5f077fc22", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Lingen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Lingen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10305.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45042, "uuid": "e603224b49214a89bc8571be1149e7d0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CIEMAT's lufft-chm15k instrument deployed at Ciemat Madrid, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)'s lufft-chm15k deployed at Ciemat Madrid, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-0000000CIEMAT001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45037, "uuid": "d637557c5e244f4294b4328396d6e2ad", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 instrument deployed at Ljubljana Bezigrad, Slovenia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 deployed at Ljubljana Bezigrad, Slovenia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45047, "uuid": "a260ec3c086041ba8f90a8a744bdce50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's lufft-chm15k instrument deployed at Guadiana Ugr, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s lufft-chm15k deployed at Guadiana Ugr, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-000000000UGRA001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35737, "uuid": "31086f7506f145649bd86b9426b353b2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at St Etienne, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at St Etienne, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07475.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45051, "uuid": "20841033310347b9bcf23319f89c07e9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SLU's vaisala-cl51 instrument deployed at Svartberget, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish University of Agricultural Sciences (SLU)'s vaisala-cl51 deployed at Svartberget, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-SVB.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45056, "uuid": "48590959bc8f47adbdb669284fd14593", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ETH Zurich's lufft-chm15k instrument deployed at Eriswil, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from ETH Zurich's lufft-chm15k deployed at Eriswil, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-756-2-ERISWIL.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45061, "uuid": "1b71cdc0ffac4d61bd3b11e9c1d9f1a1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 instrument deployed at Lugano Airport, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 deployed at Lugano Airport, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06775.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45065, "uuid": "bda33c37527c418f910e4999e5d94910", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 instrument deployed at Nottwil, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 deployed at Nottwil, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-756-0-RGNOT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45069, "uuid": "995a581d67b64823968ad8169f368e17", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's vaisala-cl61 instrument deployed at Camborne, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's vaisala-cl61 deployed at Camborne, UK.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03808.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45073, "uuid": "5e578aeeb359467d99d6f3d87b0a7435", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NCAS's lufft-chm15k instrument deployed at Jodrell Bank Observatory, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Centre for Atmospheric Science (NCAS)'s lufft-chm15k deployed at Jodrell Bank Observatory, UK.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-826-301-3.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 45080, "uuid": "6ec73677d34a4d6a97305f755e704c98", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ARPA's vaisala-cl61 instrument deployed at Saint-Christophe Aosta, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agenzia regionale per la protezione ambientale (ARPA)'s vaisala-cl61 deployed at Saint-Christophe Aosta, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-380-5-1.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35272, "uuid": "912d812e8d05462f8b869d6e1bdbc3c7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Kostmys, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Kostmys, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11636.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36600, "uuid": "91e151b353d2429fab939a2394cd4e12", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Aldergrove, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Aldergrove, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03917.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35628, "uuid": "9e2e2ee55f6e4c3c979ff2af038a01d6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Langres, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Langres, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07283.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36642, "uuid": "92712fd6104f43d59ccd969aceb1f21b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Eskdalemuir, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Eskdalemuir, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03162.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36542, "uuid": "c2fe18a73dfc4bd29938013ea3a7e4f8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Payerne, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Payerne, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06610.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35541, "uuid": "98cd3a4e0e2d4fc9bda3417d626e1ac7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Beauvais, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Beauvais, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07055.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36074, "uuid": "fe487dbf65b34d938f788d7d50bf5555", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Saudarkrokur, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Saudarkrokur, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04953.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36279, "uuid": "63160ba514f84e8c8683ea44959ddcf9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Ibiza, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Ibiza, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08373.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44746, "uuid": "fb0e0b8dea2147519a71f4949d2713b6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Praha, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Praha, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11518.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35165, "uuid": "eee4461fad6141598c1b27ae76363b01", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Agen, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Agen, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07524.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35612, "uuid": "f0126bf7c76841afb44aead5b3502d4d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Gourdon, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Gourdon, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07535.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36265, "uuid": "2bbfebd1fd264278874bbbd1451630ad", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Getafe, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Getafe, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08224.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35773, "uuid": "6cc87815641e4f71b6b67b09f1e65b36", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Belm, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Belm, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10312.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35395, "uuid": "a53b4ffd97844f589cec579b4451feea", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kajaani Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kajaani Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101725.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36494, "uuid": "b5e84c32c1594bd29750d5f9fb94cb62", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Geneve Cointrin, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Geneve Cointrin, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06700.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35192, "uuid": "704b8b449f234ce4bb1ad6678a313604", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from INOE 2000's Lufft CHM15k \"Nimbus\" instrument deployed at Magurele, Romania", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Institute for Research and Development in Optoelectronics (INOE 2000)'s Lufft CHM15k \"Nimbus\" deployed at Magurele, Romania.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-INO.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35995, "uuid": "f346b2bff48b475db34ec698373cb3c7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Wittenberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Wittenberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10474.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36444, "uuid": "bc8565c7c68c46a5a307f2af37515c5d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Andermatt, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Andermatt, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06695.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37193, "uuid": "f86ab20b7ab848d2a3e2f263fef26218", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Schaffen, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Schaffen, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06465.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39470, "uuid": "f86d9c7823f44a178b0a95c7e22fd1f6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Laboratoire Inter-Universitaire Des Systèmes Atmosphériques (LISA/IPSL)'s vaisala-cl31 instrument deployed at the Lisa-P7 site, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Laboratoire Inter-Universitaire Des Systèmes Atmosphériques (LISA/IPSL)'s vaisala-cl31 deployed at the Lisa-P7 site, France.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-250-1001-75113006.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35328, "uuid": "77046211d19846359650cbba94f7d151", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Ustinlab, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Ustinlab, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11502.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36726, "uuid": "3f496b8cbfef46968c1d33c0638942d4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Jamsa Halli Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jamsa Halli Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101315.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36127, "uuid": "e18e2b511a79407682c4d6261b02a9ed", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Eindhoven Ap, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Eindhoven Ap, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06370.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36747, "uuid": "e243bf36c2cc4cd1b22c199ce66b2bc9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kruunupyy Kokkola Pietarsaari Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kruunupyy Kokkola Pietarsaari Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101662.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35207, "uuid": "987dfb77b8224dd198dd9ca430f30b72", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Kolm-Saigurn, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Kolm-Saigurn, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11344.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35608, "uuid": "7d5b00a20a6745f280aea128b697915a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Dole, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Dole, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07386.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35955, "uuid": "7cf442038bf146dc8ea3b76f2673a4c7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Rheinstetten, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Rheinstetten, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10731.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36033, "uuid": "4126fea396ca4e098219bc711bccc329", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Szarvas, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Szarvas, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12988.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36486, "uuid": "40f20d3184674c8595e9ce823bcf3f7a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Disentis, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Disentis, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06782.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35991, "uuid": "008c95c0e28446c99ecfaec207695bf4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Werl, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Werl, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10424.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36765, "uuid": "3aa3249f8bf24821be7fb2c84b9793ec", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Rovaniemi Lentoasema Awos, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Rovaniemi Lentoasema Awos, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137190.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36651, "uuid": "e647e6465f244080ae1f98a01243a941", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Gibraltar, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Gibraltar, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08495.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36094, "uuid": "80618d892f674a1fbe845deb2a4e40e9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's Lufft CHM15k \"Nimbus\" instrument deployed at Rome, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s Lufft CHM15k \"Nimbus\" deployed at Rome, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-380-6-1.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36388, "uuid": "234c5e461c594336a7f3ad5fb01aa1ad", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Jarnasklubb, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Jarnasklubb, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02284.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36741, "uuid": "432f87b208bc429984fdecb77fef920e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kittila Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kittila Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101986.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35369, "uuid": "d21be9acec6e4e2daf34648a1f615f51", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Jamsa Halli Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jamsa Halli Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101315.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35452, "uuid": "21f2f35df04841ab9323e4d0eca286e7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Mikkeli Lentoasema Awos, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Mikkeli Lentoasema Awos, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-855522.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35168, "uuid": "456ce527d99c401ab562684b66a7bdb8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Aachen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Aachen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10505.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35150, "uuid": "44ebc02da2cf4d0a8b4de454643c0b34", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UWO's Lufft CHM15k \"Nimbus\" instrument deployed at Western, Canada", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Western Ontario (UWO)'s Lufft CHM15k \"Nimbus\" deployed at Western, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-73009.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35553, "uuid": "ae66e75dd88b4616832f4f21d186c1ab", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Beziers, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Beziers, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07638.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35729, "uuid": "3b5f6f220ca542cb8e1a2848db5ec968", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Saint Girons, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Saint Girons, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07627.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35189, "uuid": "d3b2c99cc281457a9cfd0ab2efa49cbd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Andoya, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Andoya, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01010.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36510, "uuid": "b56f5a620fe74c08a539733a1f62a205", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" instrument deployed at Kleine Scheidegg, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" deployed at Kleine Scheidegg, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06736.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44739, "uuid": "495117fe62714bf68106e18e0666e210", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Karlovy Vary, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Karlovy Vary, Czech Republic.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11414.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36753, "uuid": "bf19f45ceafe4b3e969dfdd5d539e597", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Liperi Joensuu Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Liperi Joensuu Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101608.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36738, "uuid": "bf42513533be4cb1aaf9a8d053c06739", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kemi Kemi Tornio Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kemi Kemi Tornio Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101840.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36750, "uuid": "bf3b80976c2a43c5844ed8bbb96b30d8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kuusamo Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kuusamo Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101886.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35846, "uuid": "691aa2c616c64cd884cd5f0b12cc8546", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Goldberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Goldberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10168.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39877, "uuid": "5b97cea480ed428eaf1809394821d94c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 instrument deployed at Issy Heliport, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 deployed at Issy Heliport, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-250-0-92040002.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37197, "uuid": "d162da75989b4009835ae85a18894428", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Semmerzake, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Semmerzake, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06428.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36103, "uuid": "3d3ce004c7774c8dbcfc1fd1fd8e76ab", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Assendelft, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Assendelft, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06233.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37204, "uuid": "ac7ca49f9c3f4531b2e6a075f0b044bb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Grenchen, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Grenchen, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06632.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36304, "uuid": "4b59e85919f4474cb3118e543afd5dda", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument deployed at Montsec, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Montsec, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-MSA.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35620, "uuid": "aef3abf4887c488cadd28b17b77fb798", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Hyeres, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Hyeres, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07667.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36107, "uuid": "e90c5c56c2344bbe8cc8b5f316ef6ea1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Bonaire Flamingo Ap, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Bonaire Flamingo Ap, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-78990.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36619, "uuid": "4be87f680726486a9d78a1e3ff7c55a7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Camborne, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Camborne, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03808.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36613, "uuid": "4b9b0ed54f9c4df6a65bc845ffb78552", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Brize Norton, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Brize Norton, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03649.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36549, "uuid": "224b83fa520540baa2f574623f35847d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Plaffeien, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Plaffeien, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06628.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36636, "uuid": "8d877a3f721c43fdb2065c222dcb827d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Culdrose, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Culdrose, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03809.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36013, "uuid": "6ced5c808a6948788af2d92569852574", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Folyas, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Folyas, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12875.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35300, "uuid": "d4485716fdbb40f09601d5f39d429dd8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Plzen, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Plzen, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11450.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36606, "uuid": "de286f27875c43e9a40221de7570a277", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Benson, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Benson, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03658.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36215, "uuid": "c1cfde22d4244d00b534ef4e626e9061", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Jan Mayen, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Jan Mayen, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37181, "uuid": "b3b175d8181b4e72a1a69999b627bbbd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Florennes, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Florennes, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06456.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35854, "uuid": "ec33b0cac6c6452e8dac5c0572e7e386", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Gruenow, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Gruenow, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10289.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36522, "uuid": "4eee0c5f84284d7bac766a90367ce8ca", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Leibstadt, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Leibstadt, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06666.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35156, "uuid": "b3b8bb92e88a4ee89c033211ea6970b5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Akrotiri, Cyprus", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Akrotiri, Cyprus.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-17601.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35693, "uuid": "dc1148c7659e49a9861e8f06e7f1e29c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SIRTA's Vaisala CL31 instrument deployed at Palaiseau, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institut Pierre Simon Laplace Atmospheric Research Observatory (SIRTA)'s Vaisala CL31 deployed at Palaiseau, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07151.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35834, "uuid": "dc11d0cbbb8746a3a62dd0cbe8e15ef7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Friesoythe, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Friesoythe, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10210.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36375, "uuid": "589148c90ecb423eae50775da6b6c982", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Hoburg, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Hoburg, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02679.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35592, "uuid": "d189d4af80bc43309300b5c4353641ed", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Chateauroux, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Chateauroux, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07354.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35644, "uuid": "684f94d560ff4972803437b89dd4212d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Lyon, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Lyon, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07481.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35580, "uuid": "ee3e5ddfac944d42ae5faccaf27cf7e3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Carcassonne, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Carcassonne, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07635.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36290, "uuid": "a7b81f6277c14657841025f364867a26", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Leon, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Leon, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08055.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35842, "uuid": "911acea042bd4367a9eb701a470cbedb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Goettingen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Goettingen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10444.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35895, "uuid": "4f15647a64ed49a5b7444eac8f6177c6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Leutkirch, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Leutkirch, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10945.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44731, "uuid": "c96728d0b80849879f34687416eff33d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from The Cyprus Institute's vaisala-cl51 instrument deployed at Cao-Nicosia, Cyprus", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from The Cyprus Institute's vaisala-cl51 deployed at Cao-Nicosia, Cyprus.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-196-0-CYPN.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool." }, { "ob_id": 36371, "uuid": "91afc617f14840e39cf2cd1e62dcf2a4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Haparanda, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Haparanda, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02197.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36723, "uuid": "e1158a3905e84a77add48fbb7fe4e50b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Inari Ivalo Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Inari Ivalo Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-102033.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35195, "uuid": "705e42befb2c4c8c8209e9101c6baaf5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Alcantarilla, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Alcantarilla, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08429.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35379, "uuid": "31a041d972964c9283ca9f7223e02b38", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Joensuu Linnunlahti, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Joensuu Linnunlahti, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101632.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36087, "uuid": "8bbbc5bc050c431ebb34d9851ac9cc6d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 instrument deployed at Shannon, Ireland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 deployed at Shannon, Ireland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03962.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35533, "uuid": "747e2e808cd243f9960beeabd93b1d2e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bale Mulhouse, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bale Mulhouse, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07299.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35967, "uuid": "f3dce14e958f4fdea3f4f48c063dd7ca", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Schleswig, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Schleswig, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10035.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36195, "uuid": "b5f85703a94840f8b7c201b612ebe32b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Voorschoten, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Voorschoten, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06215.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35979, "uuid": "bac673aa9f5648ea97f871ece9a0e2bb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Ulm, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Ulm, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10838.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36490, "uuid": "3254620d96074cc19383617802f45619", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Ebnat Kappel, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Ebnat Kappel, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06693.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36183, "uuid": "8cb4f4b8eda743f08f90c89914be383a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Vlieland, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Vlieland, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06242.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35684, "uuid": "8ce49821d99e48648c44ef7b77c3383b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Orly, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Orly, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07149.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35883, "uuid": "dcf149ffbe6e4bd5a6f422034530a635", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Klippeneck, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Klippeneck, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10818.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35926, "uuid": "98cd0d1736fd4d01bc3fa28682e1edac", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Meiningen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Meiningen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10548.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35810, "uuid": "dd12f81281344c35be011ec24ac27f86", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Essen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Essen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10410.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36482, "uuid": "998c4264566d46438ec5c4bd457c1533", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Delemont, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Delemont, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06602.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35838, "uuid": "f2a7336f91434e17b3c333ce6d277fe4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Fuerstenzell, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Fuerstenzell, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10895.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39873, "uuid": "77ed3c65425d44b2ac469ad388261e69", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl31 instrument deployed at Praha, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl31 deployed at Praha, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11518.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36687, "uuid": "896df908fa9a49fba4d234de41c5ffeb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Nottingham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Nottingham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03354.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36553, "uuid": "e425ffa5075a4e868425a2f1c53c5db1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Robiei, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Robiei, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06751.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36786, "uuid": "f6560eafc86045818437e4630c9900ee", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Base Aerea De Moron, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Base Aerea De Moron, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08397.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36412, "uuid": "3a3055ecb12645279ec034ab72b991a0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Naimakka, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Naimakka, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02055.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36339, "uuid": "744bd8a5ce254e0692952f0c674ddfea", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument deployed at Valladolid, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Valladolid, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-UVA.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35183, "uuid": "36737435670d4d66ad28fd6490b89bb6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's Lufft CHM15k \"Nimbus\" instrument deployed at Messina, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s Lufft CHM15k \"Nimbus\" deployed at Messina, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-00203.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35701, "uuid": "b6f448886f2e487a9b4aede2ac2866bb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Poitiers, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Poitiers, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07335.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36654, "uuid": "d60955b061a44ed093a299aa35cef516", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Kinloss, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Kinloss, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03066.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35757, "uuid": "aadc1c97e69946f68bd6496e54c0752c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Trappes, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Trappes, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07145.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36717, "uuid": "d997e2e168e54b0e9d75b425f00e509c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Yeovilton, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Yeovilton, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03853.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36420, "uuid": "b78da3a3a13f43afbdd3d6f19453a670", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Lund University's Vaisala CL51 instrument deployed at Norunda, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Lund University's Vaisala CL51 deployed at Norunda, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-NOR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35231, "uuid": "a0ae452741fb41d4a29438b2d5819b7d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from RMI's Vaisala CL51 instrument deployed at Uccle, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Meteorological Institute (RMI)'s Vaisala CL51 deployed at Uccle, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06447.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36098, "uuid": "8106ed42bc224b61ad028a0172838887", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ARPA's Lufft CHM15k \"Nimbus\" instrument deployed at Saint-Christophe Aosta, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agenzia regionale per la protezione ambientale (ARPA)'s Lufft CHM15k \"Nimbus\" deployed at Saint-Christophe Aosta, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-16054.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37591, "uuid": "32dcaf1485de444c8ba273afde964f46", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument B deployed at Amsterdam Ap Schiphol, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Amsterdam Ap Schiphol, Netherlands.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37803, "uuid": "818f746a3ea54210a232145d95e9c819", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NCAS's vaisala-cl51 instrument deployed at the Chilbolton Atmospheric Observatory, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Centre for Atmospheric Science (NCAS)'s vaisala-cl51 deployed at Chilbolton Alc, UK.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-826-300-3.\r\nSee online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36639, "uuid": "a31b82d14eb140479ab5fdb498fd26b4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Eskdalemuir, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Eskdalemuir, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03162.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37177, "uuid": "8245a8523e1b440782f3e99500c93a4d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Elsenborn, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Elsenborn, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06496.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44714, "uuid": "f59d0593340b4fcfbfda3994e3b2201f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Kufstein, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Kufstein, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35561, "uuid": "3740828b62c647d986fd8137df146069", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bihoue, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bihoue, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07205.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35656, "uuid": "7b5d1aafc738411faad61612d0ae7feb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Mende, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Mende, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07554.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39889, "uuid": "856b788f5e934fa1bf8d1793fdcb3f56", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k instrument deployed at the Manchester Air Quality Supersite (MAQS), UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k deployed at Manchester Air Quality Supersite (MAQS), UK.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-MCR.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36115, "uuid": "a99a773e82e14449971c3084b908891a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at De Kooy, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at De Kooy, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06235.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36167, "uuid": "7074a08272ca4dc8ba55e28cf8beb80f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Nieuwkoop, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Nieuwkoop, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06238.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35557, "uuid": "fdf068a8d9a94bbdb2a786f2d0c2db2c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Biarritz, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Biarritz, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07602.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36627, "uuid": "12322b27759a417fba6ff9d154a20819", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Coningsby, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Coningsby, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03391.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36314, "uuid": "70cc519d7c7b4f4db87e003670af21e5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UPC's Mini-MPL instrument deployed at Tazacorte La Palma, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universitat Politecnica Catalunya (UPC)'s Mini-MPL deployed at Tazacorte La Palma, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-0-0000000000060004.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35668, "uuid": "70d1a7202dca4f529506e4479d29ca03", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Momuy, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Momuy, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07606.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36199, "uuid": "af135fe6554c47ae9876077f764e9322", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Woensdrecht, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Woensdrecht, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06340.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35951, "uuid": "871916fc8ad14ded8bd1b27fe84cb703", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Putbus, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Putbus, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10093.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36705, "uuid": "b5a0a4bc2c884ea1b2062653489e4b38", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Waddington, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Waddington, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03377.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36428, "uuid": "721bdafe2ceb48239bc5238e5ffe5c25", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Storlien-Storvallen, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Storlien-Storvallen, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02207.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35186, "uuid": "b7706cbc226f4e2a9999d74ee12eac96", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument D deployed at Amsterdam Ap Schiphol, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Amsterdam Ap Schiphol, Netherlands.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35446, "uuid": "720fb28afe974ca1b57e89784a601f24", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Liperi Joensuu Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Liperi Joensuu Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101608.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35537, "uuid": "726ebd2636f34b938f926a67766830eb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bastia, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bastia, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07790.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36506, "uuid": "7296f5bcba6543bdade0decd6ee474d2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Interlaken, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Interlaken, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06734.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35280, "uuid": "fe65452cc8054b3a8c599d2f4a40e8a7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Liberec, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Liberec, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11603.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35891, "uuid": "015a8004217b41c9afac0695cbccf253", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Leipzig, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Leipzig, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10471.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35866, "uuid": "73736750fbdd4324abcb95e7e7de2b8f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Helgoland, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Helgoland, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36696, "uuid": "77c7cc70eaab4e3bb33aa42e9adc787e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at South Uist, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at South Uist, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03023.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36041, "uuid": "284210b1cbc9476aab4c0e721905c3ae", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Szentes, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Szentes, Hungary.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12984.\r\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36453, "uuid": "bfae1bd86dc349ca95d6259e3aff91ac", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Biasca, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Biasca, Switzerland.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: https://oscar.wmo.int/surface//index.html#/search/station/stationReportDetails/0-756-0-BIA (previously 0-20000-0-06755 for a temporary period). See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37597, "uuid": "f18c0d83e3f44ea29fa38c8cf380537f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Karlovy Vary, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Karlovy Vary, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11414.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35745, "uuid": "c04b77f195404f60a3927f80c16f80b0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Tarbes, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Tarbes, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07621.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35239, "uuid": "a2460901947a4e148e77ec2560ba1717", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Cheb, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Cheb, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11406.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35506, "uuid": "78410c23143f481a8369fdaa9523a27c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Vaasa Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Vaasa Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101462.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35478, "uuid": "81b416d6c562427e9afc491b2abe328b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Rovaniemi Lentoasema Awos, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Rovaniemi Lentoasema Awos, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137190.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36070, "uuid": "3fc737ad20c34336a9d1ee479fef79db", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Onundarhorn, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Onundarhorn, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04938.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36207, "uuid": "3fbfa0a51a964e2a877f389a6007671c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Flesland, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Flesland, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01311.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35211, "uuid": "8598850d9f5a41c0a97c36f1ff9896b6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Radstadt Tandalier, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Radstadt Tandalier, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11208.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35407, "uuid": "d27ee4b401ef4a5f980dac91083d2465", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kittila Kenttarova, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kittila Kenttarova, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101987.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36324, "uuid": "86ac1dc485cc4e0a86f87fe4a8b53edd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL51 instrument deployed at Tenerife Santa Cruz, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL51 deployed at Tenerife Santa Cruz, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-60022.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37173, "uuid": "8666c40642f44e8eba0e93d779d15303", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Chievres, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Chievres, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06432.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35529, "uuid": "2664ddfa203a4c20917978d1f489a303", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Avignon, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Avignon, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07563.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39881, "uuid": "594dcfb3de2c48a4b4ba3e83672edf35", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's lufft-chm15k instrument deployed at Monte Cimone, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s lufft-chm15k deployed at Monte Cimone, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-CMN.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36271, "uuid": "40b1a29fbe8642179e9b136f2a61effb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument deployed at Granada, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Granada, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-UGR.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36792, "uuid": "d3bc5055d9824b258fe0902968001188", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Ibiza, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Ibiza, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08373.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35443, "uuid": "8be117f895994c0390b28716c297d646", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL51 instrument deployed at Lappeenranta Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL51 deployed at Lappeenranta Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101237.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35874, "uuid": "6c41c8fab5f94eada5e76489526f91d1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Hoyerswerda, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Hoyerswerda, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10495.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35753, "uuid": "e37834ae67174d10ba9b80868508d500", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Tours, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Tours, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07240.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35244, "uuid": "dd6810f03b554f01ad9df8679a710080", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Churanov, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Churanov, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11457.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36699, "uuid": "e39f6160c76f4814a449e54c38d364e4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Stornoway, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Stornoway, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03018.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35600, "uuid": "ec69356d89694756857376874fcf2239", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Deauville, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Deauville, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07031.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35144, "uuid": "91fe5a23aefa4ad59dc7288b0e3a46cd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Altmunster, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Altmunster, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11254.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\n" }, { "ob_id": 36151, "uuid": "5279e7f3d6f54bc4883972f05f880a62", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Lelystad Ap, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Lelystad Ap, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06269.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36473, "uuid": "52aa4a3d286e4b52a7afdbee3f0249c4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Chur, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Chur, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06786.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35814, "uuid": "b59da0e2540f467aa970b3d2ca7aef9a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Falkenberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Falkenberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10395.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35741, "uuid": "41c92c1b1edc4b3281cdb9c3144b7555", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Strasbourg, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Strasbourg, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07190.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35468, "uuid": "52c51e6c8763421eb4d06ad608ad4f80", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Pori Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Pori Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101044.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36669, "uuid": "0658f81c6df64ab081f06b85c303db31", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Leuchars, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Leuchars, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03171.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35761, "uuid": "224be98b246348889ba2f86bfdb302b4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Vatry, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Vatry, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07166.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35588, "uuid": "dedb87026c5441d5b94683473967d0e8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Charleville Mezieres, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Charleville Mezieres, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07075.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35389, "uuid": "33957058b68b4882a45309e5293267b6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Jyvaskyla Lentoasema Awos, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jyvaskyla Lentoasema Awos, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137208.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36351, "uuid": "f019ffbbbb7f4e1b9df2e9f7ae557ec1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Falsterbo, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Falsterbo, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02615.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35417, "uuid": "3577d6492a664a0c84631b7bcc5ce509", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kouvola Utti Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kouvola Utti Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101191.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36343, "uuid": "f09bfa4b69ef4b4db0dd5435f2560a08", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Vigo, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Vigo, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08045.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35790, "uuid": "42fa721383c94fc79e197d9bb208f85c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Braunschweig, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Braunschweig, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10348.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35439, "uuid": "c93a4ae5f7e74a2e966bcbb02987cb78", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Lappeenranta Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Lappeenranta Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101237.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35959, "uuid": "07cb2fe7b660454c9d8c4f06f50ab376", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Roth, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Roth, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10765.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35545, "uuid": "738b75db7f9647548bf38886d5801898", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Belfort, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Belfort, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07296.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36569, "uuid": "af3171f4c8614ef2a0bd28666797ee62", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Schaffhausen, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Schaffhausen, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06620.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36355, "uuid": "9624a591bbda463d80faf2150a04d2e3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Gavle, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Gavle, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02453.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35223, "uuid": "08277c09b394422492366b70cf4f7841", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from RMI's Vaisala CL51 instrument deployed at Diepenbeek, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Meteorological Institute (RMI)'s Vaisala CL51 deployed at Diepenbeek, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06477.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35782, "uuid": "df4ec857c42a4e7184d6c54c85d326c8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Berus, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Berus, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10704.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35983, "uuid": "f43fdfb3017c4b9ca8fd207f30ae0593", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Ulrichstein, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Ulrichstein, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10537.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36565, "uuid": "44695d04d9ff45c5bc1fb16ac3b0a4bd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Sattel Aegeri, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Sattel Aegeri, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06662.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36672, "uuid": "6a2a7e9b5c7e46e0a2f6662086a4b78e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Lossiemouth, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Lossiemouth, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03068.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35496, "uuid": "ecbfaa9508e640869db3f95e17627dc2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Tervola Loue, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Tervola Loue, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-107201.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35490, "uuid": "030eecf1a7fc4275ac774f9e953b1f1d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Siilinjarvi Kuopio Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Siilinjarvi Kuopio Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101570.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35462, "uuid": "bc4555eda0b24075bdc0844974e3ac48", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Pirkkala Tampere Pirkkala Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Pirkkala Tampere Pirkkala Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101118.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35935, "uuid": "5379e35589894ff9b71ee9c2bf5c360d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Michelstadt, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Michelstadt, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10648.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36009, "uuid": "44c900e3edcb4d3e8c2b8e0cc1c7ea68", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Debrecen, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Debrecen, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12880.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37189, "uuid": "c2c34192c96f4c87b4ce1ac7770bc493", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Koksijde, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Koksijde, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06400.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35296, "uuid": "d61f3444528a42579bfde8a0c06563b1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Pecpsn, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Pecpsn, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11643.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35680, "uuid": "4e37d58562a84969a152f992139b1215", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Nice, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Nice, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07690.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35456, "uuid": "27367c0a164546bdb693d4c667a900e2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Oulu Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Oulu Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101786.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35850, "uuid": "1416a57665494e869258996c5e5b13d9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Gottfrieding, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Gottfrieding, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10872.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35596, "uuid": "f07c353a168043bdb9a94f2f47e89c50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Clermont Ferrand, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Clermont Ferrand, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07460.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35826, "uuid": "86a39c38b819451fb5cce8b0d4016dd4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Feuchtwangen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Feuchtwangen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10756.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36054, "uuid": "8ddc24840e4b4572beb8c555ea8f7dec", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Hjardarland, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Hjardarland, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04042.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36589, "uuid": "f7bf811af9014108bb7d5e42929efb18", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Visp, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Visp, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06727.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36025, "uuid": "a519405a42f340beb15ae7f6a2c78444", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Pecs, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Pecs, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12944.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35264, "uuid": "313440183234499a9dd4b6e64f487a94", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Kocelovice, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Kocelovice, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11487.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35636, "uuid": "53e0554583c34bf4b26f362ba9369492", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Lille, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Lille, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07014.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36693, "uuid": "fd9591ac4df747dfb5d612719a3f19cb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Shawbury, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Shawbury, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03414.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35288, "uuid": "6a4bbf1a72054c0e92dc808300823ab6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Luka, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Luka, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11710.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36253, "uuid": "23f95d4bae3b4983b562c0ea036d7799", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Colmenar Viejo, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Colmenar Viejo, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08219.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36257, "uuid": "4fa6969924df410a965473761fe7bec9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Cordoba, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Cordoba, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08410.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35676, "uuid": "53c030ab966d414faf049fea9f9bb999", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Nantes, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Nantes, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07222.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36457, "uuid": "8be30d84f86e4e5aae4d3fabdc4eb085", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Boltigen, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Boltigen, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06733.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36275, "uuid": "a259ec1ce10d4122838c142365ef20de", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Huesca, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Huesca, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08094.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36545, "uuid": "47e5d911e4da4abb80b12d0409608d9f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Piotta, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Piotta, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06753.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36526, "uuid": "4d5517b7df48460281f55576adf7008a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Mathod, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Mathod, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06618.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44726, "uuid": "982b5a7eadc74671993b233b13779111", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ECCC's vaisala-cl51 instrument deployed at Edmonton, Canada", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Environment and Climate Change Canada (ECCC)'s vaisala-cl51 deployed at Edmonton, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36538, "uuid": "4c07b0bda141479d907469041a113cac", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" instrument deployed at Payerne, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" deployed at Payerne, Switzerland.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06610.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36530, "uuid": "4f2c8acf929c4a07b9e4892a0e888199", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Mohlin, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Mohlin, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06641.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36078, "uuid": "5b230a0013bc49179b831490a38b574c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 instrument deployed at Cork, Ireland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 deployed at Cork, Ireland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03955.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44735, "uuid": "4615b4cbc4de4e849fdfd1d1fdf28db4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Brno, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Brno, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11723.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36714, "uuid": "51bb30586842413285ff205197fb4a1a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Wittering, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Wittering, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03462.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35159, "uuid": "46006fa888334683a8694dfb78e0c413", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Cervena, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Cervena, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11766.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36561, "uuid": "0411a2324f2f48ce8e0fb9280c615dc6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Samedan, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Samedan, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06792.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36573, "uuid": "25d81f23fae947e699ac8bf75af6d29f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Scuol, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Scuol, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06798.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36729, "uuid": "ec63f4c226e54db99620a1ab688dce56", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Jomala Maarianhamina Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jomala Maarianhamina Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-100907.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36702, "uuid": "ee2c0fa397ad48a1a305f41899388848", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Valley, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Valley, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03302.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36789, "uuid": "a679576ef06c4f47b96d63c452f5c1eb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Getafe, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Getafe, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08224.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36798, "uuid": "a7235f89531e478e8d92517da52c23ab", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Murcia, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Murcia, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08433.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36774, "uuid": "073a3fdfc196421db765f752d844551b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Turku Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Turku Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101065.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36771, "uuid": "0b78c6a801ad4c42854b1e17e9581a04", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Siilinjarvi Kuopio Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Siilinjarvi Kuopio Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101570.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36577, "uuid": "a9b5268f0b1746a7b83cdb1d2066a8d6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Tanikon, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Tanikon, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06679.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36440, "uuid": "5530854b0f004e39bb14f263936a472a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Andeer, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Andeer, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06787.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35688, "uuid": "e0887e2d895049bfa669068fa68f7efe", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SIRTA's Lufft CHM15k \"Nimbus\" instrument deployed at Palaiseau, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institut Pierre Simon Laplace Atmospheric Research Observatory (SIRTA)'s Lufft CHM15k \"Nimbus\" deployed at Palaiseau, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07151.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36768, "uuid": "4fa00b8426914f38a2fdb74917d63a44", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Savonlinna Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Savonlinna Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101430.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35411, "uuid": "ab0929cb2f58492899fde8766c828d5d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kittila Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kittila Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101986.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37168, "uuid": "258dec56a96d496a869b07e8f986118f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Beauvechain, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Beauvechain, Belgium.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06458. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36081, "uuid": "3979560ebe9b4fc7a6d1dd3408f2db5a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 instrument deployed at Dublin, Ireland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 deployed at Dublin, Ireland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03969.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35248, "uuid": "5b6ebb963bc544719399a11007a56372", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Doksany, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Doksany, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11509.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35215, "uuid": "abc84aa5958c45a9ae97b983ebdd8ce9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Wien Hohe Warte, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Wien Hohe Warte, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11035.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39638, "uuid": "f06e1510b56049559e87aa2f0db5fdcc", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's lufft-chm15k instrument deployed at Borssele Alfa, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s lufft-chm15k deployed at Borssele Alfa, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06317.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44711, "uuid": "0e86cfc5c13347a58e9eccd432edd71c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Kolm-Saigurn, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Kolm-Saigurn, Austria.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11344.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35174, "uuid": "c0391b7edb6b497fb0ae6bab0caac609", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Bekescsaba, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Bekescsaba, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12992.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36308, "uuid": "2559ecb7e50c4396bef5d5df5812d84b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Murcia, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Murcia, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08433.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35292, "uuid": "c1e60d0563344107b258427ea087d60e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Lysahora, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Lysahora, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11787.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35484, "uuid": "ec2c600d5b9d4b2b94ee3cc9d0d48f64", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Savonlinna Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Savonlinna Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101430.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36261, "uuid": "564df7bbef824eb6943d0e32efe5ce95", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument deployed at Fuencaliente La Palma, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Fuencaliente La Palma, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-60005.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36367, "uuid": "4767604b02254af88266cf61b720a8d1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Hallhaxasen, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Hallhaxasen, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02236.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36477, "uuid": "5661eaad7f1446eca0015af0eeddb85b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" instrument deployed at Davos, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Lufft CHM15k \"Nimbus\" deployed at Davos, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06784.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35943, "uuid": "06c960ac0dee4e15931c77194cd8231c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Oberschleissheim, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Oberschleissheim, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10868.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35899, "uuid": "8dc70856e69a4835a05fe46348853e70", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Lindenberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Lindenberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10393.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36609, "uuid": "bfd57bf4a7ce4eb49f5b0f03e2b7dcdd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Boscombe Down, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Boscombe Down, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03746.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35268, "uuid": "ad0f0d662a6c430b897658acd006a6b5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Kosetice, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Kosetice, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11628.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36159, "uuid": "1ec5ae1588b847a39f2056c9d913eb99", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Muiden, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Muiden, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06236.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36171, "uuid": "f01dc217443949e4b0ce60a737f121c8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Rotterdam The Hague Ap, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Rotterdam The Hague Ap, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06344.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36219, "uuid": "f075e25e375a47f8854c135ba01612ee", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Oslo, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Oslo, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01492.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36233, "uuid": "00e2c0840cdd49b5a78544ae90daf7b5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument deployed at Badajoz, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Badajoz, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-UEX.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35423, "uuid": "4812ca255fa747309ca3395dbb9eed84", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Kruunupyy Kokkola Pietarsaari Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kruunupyy Kokkola Pietarsaari Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101662.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35162, "uuid": "7c9fd415b8c64d8eb2270eedca9bbe1b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Alajarvi Moksy, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Alajarvi Moksy, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101533.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37185, "uuid": "0717e78630d745b7923468f0af15e68f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 instrument deployed at Kleine Brogel, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Belgium Defence's Vaisala CL31 deployed at Kleine Brogel, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06479.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36581, "uuid": "c98774b290c94db5af60a83caea0e690", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Ulrichen, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Ulrichen, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06745.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35429, "uuid": "048fff11798e4c1390f766498dea2c62", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL51 instrument deployed at Kuopio Vehmasmaki, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL51 deployed at Kuopio Vehmasmaki, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101581.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35332, "uuid": "a789a925d52b4ddfa5fe83f13461a340", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Ustinorl, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Ustinorl, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11679.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35340, "uuid": "bec6b9f0b1bd4a4baa61384d956d8a80", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Enontekio Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Enontekio Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101976.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36780, "uuid": "ae6373f1633f45aabb4a54d826509c1e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument B deployed at Budapest, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Budapest, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12843.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35177, "uuid": "f299eaf5500d4f61961d06e81c1393b8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL51 instrument deployed at Bolungarvik, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL51 deployed at Bolungarvik, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04005.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35304, "uuid": "541cdbd5980544979aa353e4dbda98db", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Pribyslav, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Pribyslav, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11659.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35171, "uuid": "6773f88c193d4a72ae53a968d5e160d8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ASNOA's Vaisala CL31 instrument deployed at Athens Observatory, Greece", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Actinometric Station of National Observatory of Athens (ASNOA)'s Vaisala CL31 deployed at Athens Observatory, Greece.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-16714.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35713, "uuid": "c030fd0b2dd649e7bac85bf8f8ff332c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Rennes, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Rennes, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35798, "uuid": "fceda91ed01747858e045bc45508f23d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Chieming, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Chieming, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10982.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35765, "uuid": "0b8827f483164e33817d9870d37d276f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Bamberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Bamberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10675.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36123, "uuid": "bd23ed6cc71c40a3b99aeb2c00c7da05", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Deelen, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Deelen, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06275.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35260, "uuid": "0cb572aa6e5c4e72a1f3f04ba18044a2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Karlov, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Karlov, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11519.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36498, "uuid": "b313adbd311541ae997a32a6c0d3c28f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Glarus, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Glarus, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06685.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36597, "uuid": "a6831ff34b3048f7825be7a4054d55cc", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Aberporth, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Aberporth, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03502.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36663, "uuid": "c1083932abaa466dbd435ce73dd1f4d0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Lerwick, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Lerwick, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03005.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36062, "uuid": "c4d055c94d5a4e7d8b2aa067033fb5c2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Kirkjubaejarlaustur, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Kirkjubaejarlaustur, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04064.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36111, "uuid": "0ed8f85623a04651821e6ec8cc12a785", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Cabauw, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Cabauw, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06348.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 38834, "uuid": "f8dbf24b304d4cc29ce39d3021ccaa1a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 instrument deployed at Pontoise, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 deployed at Pontoise, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07053.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35624, "uuid": "c4b0e6fc8d7749ce8440adf721e12350", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at La Rochelle, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at La Rochelle, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07316.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35316, "uuid": "fa03865791ad496f9a433b4483ba0f3a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Svratouch, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Svratouch, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11683.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35705, "uuid": "fac97495623e4905b2839d0c65a30d0e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SIRTA's Lufft CHM15k \"Nimbus\" instrument deployed at Qualair, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institut Pierre Simon Laplace Atmospheric Research Observatory (SIRTA)'s Lufft CHM15k \"Nimbus\" deployed at Qualair, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-250-1001-75105006.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36318, "uuid": "adb00e74a3814f709e9f27f0de0e3dd6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Tenerife North, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Tenerife North, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-60015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35830, "uuid": "56c3408d97164664a668f7f2748f4937", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Freiburg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Freiburg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10803.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35375, "uuid": "bdb62ab8427e411991b72b114f7c5f6a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL51 instrument deployed at Jarvenpaa Sorto, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL51 deployed at Jarvenpaa Sorto, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-103786.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36759, "uuid": "d40f9c62b41841e592fba8f0eea49c50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Pirkkala Tampere Pirkkala Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Pirkkala Tampere Pirkkala Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101118.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35822, "uuid": "56c43008d27b41e8a7429f9129b6d325", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Feldberg-Taunus, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Feldberg-Taunus, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10635.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36119, "uuid": "fab1ba5209e24e07be5ae5f575b7566a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Debilt, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Debilt, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06260.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36029, "uuid": "4a8ca5918bbd4de59e8b8a6e426d0337", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Siofok, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Siofok, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12935.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36593, "uuid": "919b322e135449f3a4ec03c723d128c1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Wynau, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Wynau, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06643.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36633, "uuid": "fb6fbca85de6456892dec2a1f7cce26d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Cranwell, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Cranwell, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03379.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36139, "uuid": "5718fee6acc54548b98a1a7cfc9c11b9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Groningen Ap Eelde, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Groningen Ap Eelde, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06280.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36227, "uuid": "fad52b62ad814386b2344dc626078ef9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Alicante, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Alicante, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08360.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36777, "uuid": "fc6fae03e4d9455e949c177994050947", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Vaasa Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Vaasa Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101462.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36238, "uuid": "005d9afdd6b6494c95091cee97dcb23f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UPC's Mini-MPL instrument deployed at Barcelona Upc, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universitat Politecnica Catalunya (UPC)'s Mini-MPL deployed at Barcelona Upc, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-BRC.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36298, "uuid": "10c5682ab38446e1a722866145461f50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Menorca, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Menorca, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08314.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39633, "uuid": "f9525557d49b4363adccd8e68c0893de", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of L'Aquila's vaisala-cl51 instrument deployed at Aquila, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of L'Aquila's vaisala-cl51 deployed at Aquila, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-CEO.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39865, "uuid": "0b180cb9cd7d4186ac483d967a3d9af5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from The Cyprus Institute's Vaisala-CL51 instrument deployed at the Cyprus Atmospheric Observatory, Ayia Marina (CAO-AMX), Cyprus", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from The Cyprus Institute's Vaisala-cl51 deployed at the Cyprus Atmospheric Observatory, Ayia Marina (CAO-AMX), Cyprus.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-CYP.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35308, "uuid": "576b36b951ff48c7bfac2a0795feace1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Primda, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Primda, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11423.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35180, "uuid": "577232bf54e54d2aaf39ff64a06f97e3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 instrument deployed at Casement, Ireland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 deployed at Casement, Ireland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03967.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36045, "uuid": "d6c8dca38b09401d8af70349d568761b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Vasarosnamaony, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Vasarosnamaony, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12790.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35235, "uuid": "128e311636f04263ba0c39cba5e251bf", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from RMI's Vaisala CL51 instrument deployed at Zeebrugge, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Meteorological Institute (RMI)'s Vaisala CL51 deployed at Zeebrugge, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06418.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35573, "uuid": "d6e897bd04d24be1bc47eccca848bed6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Brest, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Brest, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07110.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35276, "uuid": "577f86b2492844d68714f39f6627236f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Kucharovice, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Kucharovice, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11698.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35204, "uuid": "04eb5341cecc4048832af95ece76c8f0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Aberporth, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Aberporth, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03502.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36359, "uuid": "d7a13740c4e640319ead0c76825e0212", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Gotska Sandon, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Gotska Sandon, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02589.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35284, "uuid": "13ea706a43654a8ab9f58fe34d0eedc3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Libus, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Libus, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11520.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36191, "uuid": "5dc404e874a44e168bac9474e14d4c86", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Volkel, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Volkel, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06375.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35616, "uuid": "d731c86a377346c3bf9778416507ac51", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Grenoble, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Grenoble, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07486.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36660, "uuid": "1445be85211e473faf02a66829420092", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Leeming, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Leeming, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03257.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36383, "uuid": "156594415f7d499e91913e039073ee39", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Lund University's Vaisala CL51 instrument deployed at Hyltemossa, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Lund University's Vaisala CL51 deployed at Hyltemossa, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-HTM.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 40799, "uuid": "bbdcf864f3af407cb651d2b2b84e077e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Altmunster, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Altmunster, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11254.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35252, "uuid": "14fc5ff11b1943649001be484938da33", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Dukovany, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Dukovany, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11693.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36801, "uuid": "150f69f30e1a4fe8b9c04ee3ed07a425", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Tenerife North, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Tenerife North, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-60015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36622, "uuid": "0143ca14bdf64eae9b4a6ae330f07128", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from NCAS's Lufft CHM15k \"Nimbus\" instrument deployed at Capel Dewi Atmospheric Observatory, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Centre for Atmospheric Science (NCAS)'s Lufft CHM15k \"Nimbus\" deployed at Capel Dewi Atmospheric Observatory, Uk.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-826-300-1. Prior to this a temporary WIGIS id 0-20000-0-03501 was used. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36392, "uuid": "d8ec4944be9349469b6d34880d2ff42b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Kilsbergen Suttarboda, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Kilsbergen Suttarboda, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02452.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36285, "uuid": "5e4f7c2a67064df4b47d7effd9c25f30", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL51 instrument deployed at La Palma Airport, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL51 deployed at La Palma Airport, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-60005.\n" }, { "ob_id": 44742, "uuid": "98d2e086f63b46fbb3997597ea11f8c8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Mosnov, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Mosnov, Czech Republic.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11782.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37201, "uuid": "155ea5ef2f3f441e9937a8c92b6000a9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's Lufft CHM15k \"Nimbus\" instrument B deployed at Valladolid, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s Lufft CHM15k \"Nimbus\" deployed at Valladolid, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-UVA.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36203, "uuid": "16031bf4250f498f95a9adc2a17637cb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Bjornoya, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Bjornoya, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01028.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35887, "uuid": "a397146831ce4ce68c5819e830a0ccb8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Kyritz, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Kyritz, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10267.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36163, "uuid": "5f339265d9654e9a8c4d9048a8d0fb32", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Nieuw Vennep, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Nieuw Vennep, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-528-0-06237.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36416, "uuid": "13ab997c7cbe4cf28219d1b99b6af54d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Norrkoping-Smhi, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Norrkoping-Smhi, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02574.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36379, "uuid": "6ead7808ffbf444986302c551dee7dbb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Horby, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Horby, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02623.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35198, "uuid": "08f5e39a7d284bba90346d446757087d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Blomskog, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Blomskog, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02408.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37601, "uuid": "1a734ef4a341448e9875735449db8c05", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Ljungby, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Ljungby, Sweden.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02622. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35963, "uuid": "1c50d551bda44deaa06e908db8b47217", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Schleiz, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Schleiz, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10564.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35569, "uuid": "1ca954cae8d8452b9c8665cb5d95273d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Brest, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Brest, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07110.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36461, "uuid": "0d863c8b77e84f4caf24d42735d8c323", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Buchs Aarau, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Buchs Aarau, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06633.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36756, "uuid": "1859408612db4b2dac204cf35c9516d6", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Oulu Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Oulu Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101786.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35870, "uuid": "1cc71831ee8a4d059881779d064bc868", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Hohenpeissenberg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Hohenpeissenberg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10962.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35794, "uuid": "c54ebf1b6b0e4361a770bbadf178143d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Chemnitz, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Chemnitz, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10577.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35697, "uuid": "0f724d529f24450296c85c2eb7e0fcbb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Perpignan, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Perpignan, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07747.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37588, "uuid": "10af126c9dcf40e2aff7c3cf835d7e6b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument A deployed at Amsterdam Ap Schiphol, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Amsterdam Ap Schiphol, Netherlands.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35576, "uuid": "06520e7c3b834cf895d1fd92bebd734b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Caen, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Caen, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07027.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35664, "uuid": "11fb5672383c4ab78c3d963662f49204", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Mini Mpl Mobile, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Mini Mpl Mobile, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07617.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36003, "uuid": "2d50a9e3c0d942bc96947fa681062338", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Budapest, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Budapest, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12843.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36666, "uuid": "a404f2ed73c0431cb5ba5b8e467b0c80", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Lerwick, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Lerwick, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03005.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44749, "uuid": "a405884af228499f96d6b00f843e84b4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 instrument deployed at Koln Zulpicher Wall, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 deployed at Koln Zulpicher Wall, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-13-19987.\n" }, { "ob_id": 36469, "uuid": "122b549950014cdfab82bf12928167df", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Charbonnieres, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Charbonnieres, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06703.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36518, "uuid": "1250578376b643958ed3a57ad156a954", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Langnau, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Langnau, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06638.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35520, "uuid": "937874985be54e94b4b077a71596b8b9", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL instrument deployed at Aleria, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Mini-MPL deployed at Aleria, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07774.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36363, "uuid": "0ac92adae11d48c48ddbf41fdbdaa250", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Gunnarn, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Gunnarn, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02126.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35672, "uuid": "20b25d83c0ff44c1a3e4be5c46810fe7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Montpellier, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Montpellier, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07643.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35733, "uuid": "220174f28b72492bbbbe9a438002b301", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at St Auban, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at St Auban, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07588.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35939, "uuid": "22496a15518a42d79a9b310314a516ff", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Norderney, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Norderney, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10113.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36211, "uuid": "7787fec59c534d44847ef96f2066b24e", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" instrument deployed at Hopen, Norway", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Norway's Lufft CHM15k \"Nimbus\" deployed at Hopen, Norway.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-01062.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35632, "uuid": "2956271c32d34566ab93871a026a602a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Lesquin, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Lesquin, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36021, "uuid": "a4623874c58d45e7b5d3aa1134e025cb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Oroshaza, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Oroshaza, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-348-1-12990.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35749, "uuid": "14f985eab41e4d3d8b948ddc2afb94dd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Toulouse, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Toulouse, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07630.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37594, "uuid": "af83232f73bf42a88a1df88d1067825b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument C deployed at Amsterdam Ap Schiphol, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Amsterdam Ap Schiphol, Netherlands.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06240.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. Note: this WIGOS ID is shared by 4 instruments located at the site. Data from the 4 instruments use one shared value for latitude and longitude:\r\n\r\nLatitude: 52.317008972168 N\r\nLongitude: 4.80366992950439 E\r\n \r\nThe actual instrument deployments are as follows:\r\n\r\nInstrument: Amsterdam AP Schiphol A\r\nLatitude: 52.317010 N\r\nLongitude: 4.803670 E\r\nAltitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 27\r\n\r\nInstrument: Amsterdam AP Schiphol B\r\nLatitude: 52.286140 N\r\nLongitude: 4.729310 E\r\n-Altitude: -4\r\nLocation: Amsterdam AP Schiphol end of runway 06\r\n \r\nInstrument: Amsterdam AP Schiphol C\r\nLatitude: 52.368290 N\r\nLongitude: 4.712660 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18R\r\n \r\nInstrument: Amsterdam AP Schiphol D\r\nLatitude: 52.3395500183105 N\r\nLongitude: 4.7407398223877 E\r\nAltitude: --4\r\nLocation: Amsterdam AP Schiphol end of runway 18C \r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36432, "uuid": "155fe8ab5f4d42c18e90b88ce4081cc2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Tomtabacken, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Tomtabacken, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02549.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36762, "uuid": "157eb60d74594b84b30673cb720a4eb3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Pori Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Pori Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101044.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35922, "uuid": "b8af591dd5094478b3607bd6df186af4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Magdeburg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Magdeburg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10361.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35806, "uuid": "16a43be4f85d4967a0094125697515ef", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Elpersbuettel, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Elpersbuettel, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35516, "uuid": "17ad245d6ca14206ad146902ffc72101", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Alencon, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Alencon, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07139.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36084, "uuid": "afc97e3ed0c843a0861208e27f6dca6f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 instrument deployed at Knock, Ireland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Éireann's Vaisala CL31 deployed at Knock, Ireland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03973.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35975, "uuid": "8b518600ccbf4a00b1ed1250fa1b0bd3", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Stuttgart, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Stuttgart, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10739.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35947, "uuid": "23bdbdcc32bc49298e2f6ca5cf0ad039", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Potsdam, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Potsdam, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10379.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35660, "uuid": "9b6c5368216d49d895406cf49acc203f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Metz, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Metz, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07093.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35153, "uuid": "614bb206c02b4d59b5ff2ecf589c7f48", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DMHZ's Lufft CHM15k \"Nimbus\" instrument deployed at Gmp Zagreb Maksimir, Croatia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Croatian Meteorological and Hydrological Service (DMHZ)'s Lufft CHM15k \"Nimbus\" deployed at Gmp Zagreb Maksimir, Croatia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14240.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36514, "uuid": "e67b2abcb53e430c94ff3e1252fbdef8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Kloten, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Kloten, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06670.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36334, "uuid": "1c0a713bc723471ba34e4091d59581d7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Valencia's Vaisala CL51 instrument deployed at Valencia University, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Valencia's Vaisala CL51 deployed at Valencia University, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-00000000000UV001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36744, "uuid": "61940a0863a74c8dba6b9bf6a7b531f7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kouvola Utti Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kouvola Utti Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101191.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36175, "uuid": "b100c68eec9b438a94b154ce30336164", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Stavoren, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Stavoren, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06267.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35769, "uuid": "b1229eca0e224c53acc136763aacc29f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Barth, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Barth, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10180.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36684, "uuid": "e856c0bb7c9c475eb2d84bd40570c1a0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Nottingham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Nottingham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03354.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35525, "uuid": "1ff17c68d6194c8a99a988aabb5f6200", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Annecy, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Annecy, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07490.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36585, "uuid": "e88f68ba93c04889b818aa4558bcdbb1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Vaduz, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Vaduz, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06990.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36804, "uuid": "25af4a2733734902b7430a7b4ec44d87", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Valencia Aeropuerto, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Valencia Aeropuerto, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08284.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36131, "uuid": "96215b85982149e1b1973c86be02cd50", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Ell, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Ell, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06377.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36066, "uuid": "9c9828d754f04ac2a7ed028d04fe8d22", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL31 instrument deployed at Manarbakki, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL31 deployed at Manarbakki, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04071.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35584, "uuid": "22572e584133459481ee8a1a9ef81d82", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Chambery, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Chambery, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07491.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 44723, "uuid": "227adeb19ed24b6c9268ae86e6f9f73a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Wien Kendlerstrasse, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Wien Kendlerstrasse, Austria.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-40-0-1092680.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 38830, "uuid": "229f5bc408df47928f69117fc7e8de06", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 instrument deployed at Melun, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's vaisala-cl31 deployed at Melun, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07153.\n" }, { "ob_id": 36328, "uuid": "22d6de09e7934484a914939980bd88e7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Valencia Aeropuerto, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Valencia Aeropuerto, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08284.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35312, "uuid": "9ca20b4225964e54a744e276145b1d02", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Serak, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Serak, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11730.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35256, "uuid": "9cacda679d7344caacc5c18da25d1f16", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL51 instrument deployed at Holesov, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL51 deployed at Holesov, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11774.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36690, "uuid": "26c6624c655b41578de1fac70c011307", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Odiham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Odiham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03761.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35147, "uuid": "622c657e3a3a49e0961153f9a03c8d43", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from RMI's Vaisala CL51 instrument deployed at Arlon, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Meteorological Institute (RMI)'s Vaisala CL51 deployed at Arlon, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-56-101-70003.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36090, "uuid": "27dc61070fef49dca22c5085b8938d97", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CNR-ISAC's Lufft CHM15k \"Nimbus\" instrument deployed at Milano Bicocca, Italy", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Institute of Atmospheric Sciences and Climate (CNR-ISAC)'s Lufft CHM15k \"Nimbus\" deployed at Milano Bicocca, Italy.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-00202.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36179, "uuid": "27e0e4cf490e4042ae37d44e39e76a0d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Twenthe, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Twenthe, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06290.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36502, "uuid": "9e5caac2f5bc433894941357e5e7e672", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Ilanz, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Ilanz, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06789.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39885, "uuid": "9e63b5f806524340aea5c5deadbcd30c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 instrument deployed at Bern Belpmoos, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's vaisala-cl31 deployed at Bern Belpmoos, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06630.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36465, "uuid": "9e9608e3cdb147549247f43655c5531f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Cevio, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Cevio, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06752.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39857, "uuid": "9ee48040310846bc85666c58a5bd7934", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DMHZ's lufft-chm15k instrument deployed at Osijek, Croatia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Croatian Meteorological and Hydrological Service (DMHZ)'s lufft-chm15k deployed at Osijek, Croatia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14280.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39853, "uuid": "9ef2331d1a6341f79773440c5ba25fb2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DMHZ's lufft-chm15k instrument deployed at Ogulin, Croatia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Croatian Meteorological and Hydrological Service (DMHZ)'s lufft-chm15k deployed at Ogulin, Croatia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14328.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36557, "uuid": "96a669b793cb44469819df76b50d65df", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Salen Reutenen, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Salen Reutenen, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06623.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36223, "uuid": "9f520d00c59b4f23a9240b4f3fdcb981", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from INOE 2000's Lufft CHM15k \"Nimbus\" instrument deployed at Magurele Rado, Romania", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from National Institute for Research and Development in Optoelectronics (INOE 2000)'s Lufft CHM15k \"Nimbus\" deployed at Magurele Rado, Romania.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-INO." }, { "ob_id": 36424, "uuid": "c6655eb32ee94a76ad254b2fba80336d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Pajala, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Pajala, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02095.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36396, "uuid": "2f89807b3ac3423b88c3cbd9a29ddacd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Kloten Sweden, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Kloten Sweden, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02431.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35858, "uuid": "b0292a1e71ac40528b498b968b6de6c7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Hamburg, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Hamburg, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10140.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36720, "uuid": "a056f1d4035342139c12bb3edb4b31f1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Ilmajoki Seinajoki Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s second Vaisala CL31 deployed at Ilmajoki Seinajoki Lentoasema, Finland.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137188.\r\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36616, "uuid": "a057daaa12c64321895da4784245a244", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Camborne, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Camborne, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03808.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35227, "uuid": "e0d8c27c81484cfe93e76691b6a998f0", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from RMI's Vaisala CL51 instrument deployed at Humaine, Belgium", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Meteorological Institute (RMI)'s Vaisala CL51 deployed at Humaine, Belgium.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06472.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36249, "uuid": "3095bf82f9914b33a8dcefdac7789664", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Base Famet De El Copero, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Base Famet De El Copero, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-0-08393.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36187, "uuid": "62c1182c372a44efa9f089cadded39d1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Vlissingen, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Vlissingen, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06310.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36681, "uuid": "cd1b05a032024448973072a5d250fc43", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Northolt, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Northolt, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03672.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36400, "uuid": "a11e7ca13fdd4e2ba1df685097f2ae6f", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Kroppefjall-Granan, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Kroppefjall-Granan, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02540.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37789, "uuid": "a1247fe8044946d29b205d655f61c9dd", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Kufstein, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Kufstein, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35336, "uuid": "62d50df5bf334cb7932e7041cbda34e1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Enontekio Kilpisjarvi Kylakeskus, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Enontekio Kilpisjarvi Kylakeskus, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-102016.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36037, "uuid": "a1d259413bca44248bd6fb1e06287100", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Szeged, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Szeged, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12982.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35918, "uuid": "a19a8b69f2e14ae48928e5edff241647", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Luegde, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Luegde, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10433.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35802, "uuid": "63a52815e88a4ba0a8beb1dd354bfa84", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Deuselbach, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Deuselbach, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10615.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36735, "uuid": "e984cf93afb94b5885f77e3f3c1c49a8", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Kajaani Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Kajaani Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101725.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35930, "uuid": "e98c92d8ad35432d862fe739289a09f1", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from TROPOS's Lufft CHM15k \"Nimbus\" instrument deployed at Melpitz, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Leibniz-Institut für Troposphärenforschung (TROPOS)'s Lufft CHM15k \"Nimbus\" deployed at Melpitz, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-MEL.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36448, "uuid": "175c89c237f8402b9d17d03d535c3e89", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Bern's Lufft CHM15k \"Nimbus\" instrument deployed at Bern, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Bern's Lufft CHM15k \"Nimbus\" deployed at Bern, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-BRN.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36294, "uuid": "6563a960e88c449696886ed3be52b580", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument deployed at Mallorca Son Bonet, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Mallorca Son Bonet, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08302.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36648, "uuid": "1676a3abced142cda8fd777954ee5c59", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Exeter, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Exeter, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03838.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36645, "uuid": "18685e489234478cbad93105f0b6935d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" instrument deployed at Exeter, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Lufft CHM15k \"Nimbus\" deployed at Exeter, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03838.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36408, "uuid": "65cee753c0124868a62da9ca716c291b", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Malung, Sweden", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Malung, Sweden.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02407.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36436, "uuid": "329276051bf2490098eff621c7a02f35", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Altdorf, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Altdorf, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06672.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35549, "uuid": "c7c458c5c1984d58ac7f02c8fc8993bb", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bergerac, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bergerac, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07530.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36630, "uuid": "ea197f104525468987eb904f3625546c", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Coningsby, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Coningsby, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03391.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35320, "uuid": "2e66a1d9ada8489baf9d726901ced6a5", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's Vaisala CL31 instrument deployed at Temelin, Czech Republic", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Temelin, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11538.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36675, "uuid": "665582c47bf0446daafa4703355216d2", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Marham, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Marham, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03482.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35201, "uuid": "b13a10fc053742de9ffef8eed8022744", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Adelboden, Switzerland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Adelboden, Switzerland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06735.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35604, "uuid": "53911a4f9952428293f0ecd51b283fd7", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Dinard, France", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Dinard, France.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07125.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35862, "uuid": "c8b7528cff3841af9228107c8a80ba55", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Harzgerode, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Harzgerode, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10458.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36147, "uuid": "c8dd0222b3ad4d968ee6bddc958aec31", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from KNMI's Lufft CHM15k \"Nimbus\" instrument deployed at Leeuwarden, Netherlands", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Royal Netherlands Meteorological Institute (KNMI)'s Lufft CHM15k \"Nimbus\" deployed at Leeuwarden, Netherlands.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-06270.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36783, "uuid": "b25b892e4d844fccbfdfa4a756cf3154", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from AEMET's Vaisala CL31 instrument B deployed at Alicante, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from La Agencia Estatal de Meteorología (AEMET)'s Vaisala CL31 deployed at Alicante, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-08360.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35878, "uuid": "ce01f6315d2747a9b16e4334e0bf17c4", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Cologne's Lufft CHM15k \"Nimbus\" instrument deployed at Julich, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's Lufft CHM15k \"Nimbus\" deployed at Julich, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-0-10508.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36017, "uuid": "ea8b9d7d8390423f921cff72a8200262", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from OMSZ's Lufft CHM15k \"Nimbus\" instrument deployed at Napkor, Hungary", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Hungarian Meteorological Service (OMSZ)'s Lufft CHM15k \"Nimbus\" deployed at Napkor, Hungary.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-12892.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35219, "uuid": "ead399372f7f4795bdf976977c4800fe", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's Vaisala CL51 instrument deployed at Wien Kendlerstrasse, Austria", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s Vaisala CL51 deployed at Wien Kendlerstrasse, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-40-0-1092680.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36732, "uuid": "e2e5fbbc0ffe4c04ab458efb00ad7710", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument B deployed at Jyvaskyla Lentoasema Awos, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Jyvaskyla Lentoasema Awos, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-137208.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36678, "uuid": "bbcf07e8845440b08405bd5a405c5400", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 instrument deployed at Middle Wallop, UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Met Office's Vaisala CL31 deployed at Middle Wallop, Uk.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-03749.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 39861, "uuid": "bbd5204ace084772b30d1762ce922500", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DMHZ's lufft-chm15k instrument deployed at Varazdin, Croatia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Croatian Meteorological and Hydrological Service (DMHZ)'s lufft-chm15k deployed at Varazdin, Croatia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14246.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35344, "uuid": "ce90dd8f145d49c5891a264727ccc904", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Hailuoto Marjaniemi, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Hailuoto Marjaniemi, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101784.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 36058, "uuid": "ebbc0f4a3ca94c32ae56456985a98edf", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from IMO's Vaisala CL51 instrument deployed at Hofn, Iceland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Icelandic Meteorological Office (IMO)'s Vaisala CL51 deployed at Hofn, Iceland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-04082.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35353, "uuid": "cfe99316b0f945be954e43e192418b6a", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL51 instrument deployed at Helsinki Vuosaari Kaarmeniementie, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL51 deployed at Helsinki Vuosaari Kaarmeniementie, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-103943.\n Details for this WIGOS station are presently unavailable in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35474, "uuid": "cf7fee0d7acf47d4b57924bff1161645", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Rovaniemi Apukka, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Rovaniemi Apukka, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101933.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35987, "uuid": "cfac7d717e9a4f6b94b2cd3ba464ae38", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Waldmuenchen, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Waldmuenchen, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-10782.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35500, "uuid": "2b4877bbfaa54594b99b39d42bdb138d", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from FMI's Vaisala CL31 instrument deployed at Turku Lentoasema, Finland", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Finnish Meteorological Institution (FMI)'s Vaisala CL31 deployed at Turku Lentoasema, Finland.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-246-0-101065.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 35906, "uuid": "2c215be790f745da879c7975f996feee", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from DWD's Lufft CHM15k \"Nimbus\" instrument deployed at Lingen Baccum, Germany", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Deutscher Wetterdienst (DWD)'s Lufft CHM15k \"Nimbus\" deployed at Lingen Baccum, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-0-10303.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 169721, 169722, 169723, 169724, 169725, 169726, 169727, 170772 ], "onlineresource_set": [ 50553 ], "project_set": [ 32779, 33185 ] }, { "ob_id": 36907, "uuid": "a1b59e250c1c42d08338361dbc933394", "short_code": "coll", "title": "FAAM-EUMETSAT: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM-EUMETSAT project.", "keywords": "FAAM-EUMETSAT, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2022-02-22T22:03:20", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 36925, "uuid": "7cc6949809aa4ea28a93fb9c0e9f4b4b", "short_code": "ob", "title": "FAAM C246 FAAM-EUMETSAT 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-EUMETSAT project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 176576, 176577, 176578, 176579, 176580, 176581 ], "onlineresource_set": [], "project_set": [ 33387 ] }, { "ob_id": 36911, "uuid": "ee96bac7c6e747c3b74ff952634ff2d7", "short_code": "coll", "title": "ACAO: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Arctic Cold Air Outbreak Project (ACAO). The ACAO campaign took place in March 2022 based out of Kiruna in Sweden and included flights C271 to C282 inclusive.\r\n\r\nThe campaign by scientists from the Met Office and Universities of Manchester and Leeds was to make novel in-situ airborne measurements of the evolution of cold-air outbreaks (CAOs), in terms of the meteorology, atmospheric composition and clouds, from the Marginal Ice Zone (MIZ) to Scandinavia.", "keywords": "ACAO, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2022-03-11T16:16:04", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 37434, "uuid": "3849fd9c3c1c4b48a8987fe2b2363c9f", "short_code": "ob", "title": "FAAM C278 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) FAAM Project project. Flight C278 took place on 24th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37414, "uuid": "43ce3ca3dbf34ee6889d5e2a408e1214", "short_code": "ob", "title": "FAAM C272 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C272 took place on 16th March 2022 in the Kiruna, Sweden region." }, { "ob_id": 36910, "uuid": "8ded6fc7ff2e4a44abc5cd8ed0c865b9", "short_code": "ob", "title": "FAAM C269 ACAO test flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instrument suites on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C269 took place on 23rd February 2022 in over the southern UK as an instrument test flight before the main ACAO campaign." }, { "ob_id": 37410, "uuid": "18189d378d884d4c91fabdfcc343ed8e", "short_code": "ob", "title": "FAAM C271 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C271 took place on 16th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37443, "uuid": "a8c47d03a6af49719fe64ab434d9002c", "short_code": "ob", "title": "FAAM C280 ACAO flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instrument suites on board the FAAM BAE-146 aircraft collected for the Arctic Cold Air Outbreak Project (ACAO). Flight C280 took place on 29th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37446, "uuid": "3e08843892a24e1b9fb642ffd3e4659a", "short_code": "ob", "title": "FAAM C281 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for the Arctic Cold Air Outbreak Project (ACAO). Flight C281 took place on 30th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37418, "uuid": "c1b4cb2719514b3c8f1610acc99d57a5", "short_code": "ob", "title": "FAAM C273 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C273 took place on 19th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37430, "uuid": "a6313cb338234bec9c5edefb42f1ee31", "short_code": "ob", "title": "FAAM C277 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) FAAM Project project. Flight C277 took place on 24th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37426, "uuid": "b8047bf1742542c681506c34e0d6ded1", "short_code": "ob", "title": "FAAM C276 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C276 took place on 23rd March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37438, "uuid": "04dad6d09bef46f6b42f06419d36372e", "short_code": "ob", "title": "FAAM C279 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) FAAM Project project. Flight C279 took place on 25th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 41677, "uuid": "628e62282f1b4efdb3328a1632c9a37d", "short_code": "ob", "title": "FAAM C274 ACAO flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instrument suites on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C274 took place on 21st March 2022 over northern Sweden." }, { "ob_id": 37450, "uuid": "c8e4139b23404092923a753abba15db8", "short_code": "ob", "title": "FAAM C282 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for the Arctic Cold Air Outbreak Project (ACAO). Flight C282 took place on 30th March 2022 in the Kiruna-Svalbard, Sweden region." }, { "ob_id": 37422, "uuid": "eaff9591f2d64e4390abffa4881bdab5", "short_code": "ob", "title": "FAAM C275 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C282 took place on 23rd March 2022 in the Kiruna-Svalbard, Sweden region." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 176594, 176595, 176596, 176597, 176598, 176599, 203069, 213035, 213036 ], "onlineresource_set": [], "project_set": [ 36908 ] }, { "ob_id": 36939, "uuid": "2bdf5aee32e04049b312a0cb23338fff", "short_code": "coll", "title": "EUMETSAT: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for EUMETSAT FAAM Aircraft Project.", "keywords": "EUMETSAT, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2022-02-22T22:03:20", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 36938, "uuid": "0bd7f81b3a2a40179bbf69b14aada1da", "short_code": "ob", "title": "FAAM C248 EUMETSAT 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 EUMETSAT FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 176709, 176710, 176711, 176712, 176713, 176714 ], "onlineresource_set": [], "project_set": [ 36936 ] }, { "ob_id": 37081, "uuid": "0068c20aca6c43e786e737c9257179a2", "short_code": "coll", "title": "Seismic datasets acquired around an active fluid flow structure: Scanner Pockmark, North Sea as part of the CHIMNEY project", "abstract": "A multi-channel seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded using a number of different seismic sources, comprising: 1) a GI airgun array, used in two different configurations for separate parts of the survey, i) a 420 ci (2 x 105/105 ci) array operated in harmonic mode and fired at 8 s intervals, and ii) a 300 ci (2 x 45/105 ci) array operated in true GI mode and fired at 6 s intervals, both towed at 2 m depth below sea surface; 2) an Applied Acoustic Engineering Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals, and; 3) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. Signals produced by the GI airguns and surface sparkers were recorded on two towed multi-channel streamers: a) a 60 channel, 1 m group interval streamer recorded on a Geometrics Strataview R60 recording system, and b), a 120 channel, 1.56 m group interval GeoEel streamer, at sampling rates between 0.125 and 0.5 ms depending on the streamer and source pairing. Data are provided in standard SEG-D format. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1.", "keywords": "seismic reflection, ocean bottom seismograph, active source seismology, passive source seismology, fluid flow pathways", "publicationState": "citable", "dataPublishedTime": "2022-04-26T16:17:15", "doiPublishedTime": "2022-04-29T10:40:49", "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 35039, "uuid": "5b0d2588954e404ab03e8f439d48a8d3", "short_code": "ob", "title": "Multi-frequency, three-dimensional, four-component ocean bottom seismometer dataset acquired from an active fluid flow structure: Scanner Pockmark, North Sea.", "abstract": "A three-dimensional wide-angle active source seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded on 25 four-component ocean bottom seismometers, recording at a sampling rate of 4 kHz. Four different seismic sources were used: \r\n\r\n1) a 700 ci (100, 200 and 400 ci) Bolt airgun array towed at 10-12 m below sea surface and fired at 10 s intervals; \r\n2) a 420 ci (2 x 105/105 ci) GI airgun array, towed at 2 m depth below sea surface and fired at 8 s intervals; \r\n3) a Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals; and, \r\n4) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. \r\n\r\nThis dataset complements Bayrakci et al. (2021; https://doi.org/10.1594/PANGAEA.932200) and updates instrument and shot corrections to fit a single, unique set of instrument positions, generated using a grid search algorithm. \r\n\r\nData are provided in standard SEG-Y format. The shot line geometry corrections were performed following the method described in the accompanying document CHIMNEY_OBS_corrections_summary.pdf. All location information is also present in the positioning directory. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1." }, { "ob_id": 37066, "uuid": "a07ea49c7b754f15af99005cd351f550", "short_code": "ob", "title": "Passive seismicity recorded using four-component ocean bottom seismometers deployed in and around an active fluid flow structure: Scanner Pockmark, North Sea", "abstract": "A passive source seismic dataset was acquired during RRS James Cook cruise JC152, around the Scanner Pockmark Complex in the North Sea. Data were recorded on 25 four-component ocean bottom seismometers (OBS - hydrophone and three-component geophone), deployed in and around Scanner Pockmark, recording at a sampling rate of 4 kHz. The OBS recorded continuously between deployment and recovery (28/08/2017 to 05/09/2017) including through periods of active source seismic data acquisition, indicated in the cruise report (Bull, 2017).\r\n\r\nData are provided in miniSEED format. The receiver drop locations are provided in the associated metadata directory. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1." }, { "ob_id": 37072, "uuid": "96dc6996b5534052ab44f3098a99a357", "short_code": "ob", "title": "Multi-frequency, multi-channel seismic dataset acquired around an active fluid flow structure: Scanner Pockmark, North Sea.", "abstract": "A multi-channel seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded using a number of different seismic sources, comprising: \r\n\r\n1) a GI airgun array, used in two different configurations for separate parts of the survey, \r\ni) a 420 ci (2 x 105/105 ci) array operated in harmonic mode and fired at 8 s intervals, and \r\nii) a 300 ci (2 x 45/105 ci) array operated in true GI mode and fired at 6 s intervals, both towed at 2 m depth below sea surface; \r\n\r\n2) an Applied Acoustic Engineering Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals; and, \r\n\r\n3) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. Signals produced by the GI airguns and surface sparkers were recorded on two towed multi-channel streamers: \r\na) a 60 channel, 1 m group interval streamer recorded on a Geometrics Strataview R60 recording system, and \r\nb), a 120 channel, 1.56 m group interval GeoEel streamer, at sampling rates between 0.125 and 0.5 ms depending on the streamer and source pairing. \r\n\r\nData are provided in standard SEG-D format. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1." } ], "identifier_set": [ 12113 ], "responsiblepartyinfo_set": [ 177250, 177252, 177251, 177249, 177248, 177247, 177601, 177581, 177582, 177583, 177584, 177585, 177587, 177586 ], "onlineresource_set": [ 51974 ], "project_set": [ 37051 ] }, { "ob_id": 37254, "uuid": "475c1b1fbd4c49379336e5a0bd7b77ce", "short_code": "coll", "title": "SLSTR Calibration Data", "abstract": "Ground based calibration data collected by RALSpace SLSTR team for all SLSTR flight instruments.\r\n\r\nTBC ;)", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 37253, "uuid": "92479de800bf45f2b2866be01e5e3f01", "short_code": "ob", "title": "SLSTR Calibration Data Instrument-B", "abstract": "Calibration of the SLSTR series of instruments is undertaken by the RALSpace SLSTR group based at the STFC Rutherford Appleton Laboratory near Harwell." }, { "ob_id": 37252, "uuid": "4f969b89bbdc474fb8bc5b3410844d25", "short_code": "ob", "title": "SLSTR Calibration Data Instrument-A", "abstract": "Calibration of the SLSTR series of instruments is undertaken by the RALSpace SLSTR group based at the STFC Rutherford Appleton Laboratory near Harwell." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 178027, 178028, 178029, 178030, 178031, 178032, 178033 ], "onlineresource_set": [ 52079 ], "project_set": [] }, { "ob_id": 37444, "uuid": "2040b17716fd49f2ac8b0b35c773d609", "short_code": "coll", "title": "M-Phase: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for the Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes FAAM Aircraft Project (M-Phase).\r\n\r\nThe M-Phase campaign took place during September to November 2022 based out Goose Bay, Newfoundland, Canada and included flights C318 to C333 inclusive.", "keywords": "M-Phase, MPhase, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2025-06-18T17:17:01", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 8 ], "discoveryKeywords": [], "member": [ { "ob_id": 39436, "uuid": "81dfd25076674aa8b0cbc0c2c46071ff", "short_code": "ob", "title": "FAAM C327 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39456, "uuid": "3ba9d937d6f14253a58e6bb313cfb0c1", "short_code": "ob", "title": "FAAM C331 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39432, "uuid": "81f984ef33f74337bf6320eef3412ced", "short_code": "ob", "title": "FAAM C326 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39412, "uuid": "f5ff8034082e454c9d59837c3e1772fe", "short_code": "ob", "title": "FAAM C321 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39444, "uuid": "79a814c5ac954faa9e50b55c277e319e", "short_code": "ob", "title": "FAAM C329 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39420, "uuid": "586d4691756c4a91b5ad2d0b14bf10c7", "short_code": "ob", "title": "FAAM C323 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39424, "uuid": "7e5dcac890dc4892bf4286ff7042f6f8", "short_code": "ob", "title": "FAAM C324 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39440, "uuid": "82f0e1d492384dd0a785b499fd6c7511", "short_code": "ob", "title": "FAAM C328 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39452, "uuid": "aa143a128dc842f1bedbaf9ef2145436", "short_code": "ob", "title": "FAAM C332 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39408, "uuid": "51cc9c0e4d574a089b3f687acaceafe6", "short_code": "ob", "title": "FAAM C320 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39460, "uuid": "3138ab4f5cf84c70aff005f31c9feb36", "short_code": "ob", "title": "FAAM C333 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39404, "uuid": "ae6dd859e7a34f0a8aeba515e540384d", "short_code": "ob", "title": "FAAM C319 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39416, "uuid": "7569dbd04216467db6fc2529a7bc2a6f", "short_code": "ob", "title": "FAAM C322 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39428, "uuid": "c74da9061602412c9d2244bce83cbdc7", "short_code": "ob", "title": "FAAM C325 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." }, { "ob_id": 39448, "uuid": "ce62ed2dab3a463bb24f9496ba6afab7", "short_code": "ob", "title": "FAAM C330 M-Phase 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 M-PHASE - Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes - FAAM Aircraft Project (M-Phase) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 178837, 178838, 178839, 178840, 178841, 178842, 213041, 213037, 213038 ], "onlineresource_set": [], "project_set": [ 37441 ] }, { "ob_id": 37504, "uuid": "69bbdb1aedcb40fc9ff3e324b693f8b5", "short_code": "coll", "title": "WesCon: in-situ airborne observations by the FAAM BAE-146 aircraft and Jade-one Dimona aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for WesCon: Wessex summertime convection experiment. \r\nMeteorological in-situ data were collected by a range of instruments on board the FAAM BAe-146 aircraft and the Jade-one Dimona aircraft during a series of flights from May to August 2023 over the southern UK.\r\nThese airborne measurements were made to complement groundbased, sonde and radar observations made for the concurrent WesCon - Observing the Evolving Structures of Turbulence (WOEST) project.", "keywords": "WESCON, FAAM, Jade-one, Dimona, airborne, atmospheric measurments", "publicationState": "citable", "dataPublishedTime": "2025-08-01T10:39:36", "doiPublishedTime": "2025-08-01T14:18:15", "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [], "member": [ { "ob_id": 40736, "uuid": "bf5b48e7cf4a4f959e9f9450dd7c5d2b", "short_code": "ob", "title": "FAAM C344 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 40700, "uuid": "b3d3ace2c49d41f9ad48db5fa7870c0d", "short_code": "ob", "title": "FAAM C342 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 37503, "uuid": "d6620263855c4327bcc51b7480b0dba6", "short_code": "ob", "title": "FAAM C295 WESCON 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 WESCON FAAM Aircraft Project project." }, { "ob_id": 40740, "uuid": "9a53365480914b9cbb1057ec8ea67f81", "short_code": "ob", "title": "FAAM C345 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 40756, "uuid": "3fa803ea494d4fbbb17f37494d87fc23", "short_code": "ob", "title": "FAAM C349 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 41172, "uuid": "b817864fd0fa42779fff3dd693ddac0a", "short_code": "ob", "title": "FAAM C352 WESCON 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 WESCON FAAM Aircraft Project project." }, { "ob_id": 40744, "uuid": "fd9d971ffcf3484196249be5134e93a0", "short_code": "ob", "title": "FAAM C346 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 40732, "uuid": "e0ffcf621c1645e2aae6598885408c27", "short_code": "ob", "title": "FAAM C343 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 39392, "uuid": "373e931e238143eda762687f4299ef2e", "short_code": "ob", "title": "FAAM C316 WESCON 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 WESCON FAAM Aircraft Project project." }, { "ob_id": 41099, "uuid": "4aa5d4d0a22443f4bc16b5ea7956dd33", "short_code": "ob", "title": "FAAM C355 WESCON flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project." }, { "ob_id": 41089, "uuid": "063f98575b3b414bb6104053f34f51f0", "short_code": "ob", "title": "FAAM C350 WESCON flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for WESCON FAAM Aircraft Project project." }, { "ob_id": 40704, "uuid": "769fced3cddd40ddbf0f48a7b98ec511", "short_code": "ob", "title": "FAAM C340 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 40752, "uuid": "d2a65de685f344c898d7cd7c9393c65a", "short_code": "ob", "title": "FAAM C348 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 40696, "uuid": "1e6795feceb447c086949952303c0e2e", "short_code": "ob", "title": "FAAM C341 WESCON 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 WESCON FAAM Aircraft Project project." }, { "ob_id": 40716, "uuid": "99d9e44091cf4f429faaaa0c9212dea1", "short_code": "ob", "title": "FAAM C339 WESCON 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 WESCON FAAM Aircraft project." }, { "ob_id": 44085, "uuid": "e8ff943a6e304f8584ce0fb805974754", "short_code": "ob", "title": "WESCON- Meteorological data from the Met Office AIMMS-30 instrument on board the JADE-one Dimona aircraft", "abstract": "Atmospheric data from the Met Office AIMMS-30: Aircraft Integrated Meteorological Measurement System onboard the JADE-one Dimona HK36 aircraft, operated by Jade University of Applied Sciences for 16 flights over the UK for WESCON - the WESsex Summertime CONvection project.\r\n\r\nThese flights took a range of paths across the area to coincide with ground-based radar observations at Chilbolton, Wardon Hill and Lyneham, and with FAAM and Uncrewed Airborne System (UAS) flights.\r\nDetails are:\r\no\tD00c - Calibration flight\r\no\tD001 - Salisbury Plain Training Area circuits\r\no\tD002 - Salisbury Plain Training Area circuits and FAAM intercomparison\r\no\tD003 - Chilbolton - Wardon Hill radars circuit\r\no\tD004/D005 Chilbolton - Wardon Hill radars circuit\r\no\tD006 Lyneham radar circuit\r\no\tD007 - Three circuits of the region\r\no\tD008 - L-patterns around Chilbolton. AIMMS calibration manoeuvres\r\no\tD009 - three L-patterns\r\no\tD010 - long flight-leg L-patterns\r\no\tD011 - long flight -leg L-patterns to coincide with FAAM measurements\r\no\tD012 - long flight -leg L-patterns to coincide with FAAM measurements, plus Chilbolton overflight\r\no\tD013 - long flight -legs including close passes of Chilbolton and ground sites\r\no\tD014 - long flight -leg L-patterns to coincide with regions of triple-Doppler radar overlap and UAS flights at Chilbolton\r\no\tD015 - FAAM intercomparison flight-legs and Chilbolton overflight in vicinity of UAS flights" }, { "ob_id": 40748, "uuid": "cd508dd27d204100bd1b4828a6a6ac7a", "short_code": "ob", "title": "FAAM C347 WESCON 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 WESCON FAAM Aircraft project." } ], "identifier_set": [ 13462 ], "responsiblepartyinfo_set": [ 179079, 179080, 179081, 179082, 179083, 179084, 211707, 213709, 213710, 213711, 213712 ], "onlineresource_set": [], "project_set": [ 37501 ] }, { "ob_id": 37629, "uuid": "8af5dbda10b747709543113ecb71c44c", "short_code": "coll", "title": "Decadal and multidecadal simulation of the Southwestern Indian Ocean with high frequency surface currents (climatological and realistic forcing, 1993-2020)", "abstract": "This dataset collection comprises two simulations; WINDS-M (Western Indian Ocean Simulation, Multidecadal) and WINDS-C (Western Indian Ocean Simulation, Climatological). Both simulations are high-resolution (1/50 degrees in the horizontal) from 1993-2020 (for WINDS-M) and 1993-2018 (for WINDS-C), using the Coastal and Regional Ocean Community model (CROCO). WINDS-M is forced at the lateral boundaries by daily output from the 1/12degrees CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by hourly output from ERA5, and also includes climatological riverine fluxes. WINDS-C is forced at the lateral boundaries by a monthly climatology from the 1/12 degrees CMEMS GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by a monthly climatology from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency for both simulations. The simulations were run using funding through the Doctoral Training Partnership in Environmental Research grant NE/S007474/1 titled Marine dispersal and retention in the western Indian Ocean", "keywords": "Indian Ocean, ocean current, surface velocity, temperature, salinity, ocean model, CROCO, dispersal, coral reef", "publicationState": "published", "dataPublishedTime": "2022-10-12T16:01:40", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 37626, "uuid": "bf6f0cfbd09e47498572f21081376702", "short_code": "ob", "title": "WINDS-M: A 1/50° multidecadal regional simulation of the Southwestern Indian Ocean with high frequency surface currents for Lagrangian applications (realistic forcing, 1993-2020)", "abstract": "WINDS-M (Western Indian Ocean Simulation, Multidecadal) is a high-resolution (1/50° in the horizontal) regional ocean simulation spanning the SW Indian Ocean from 1993-2020, using the Coastal and Regional Ocean Community model (CROCO). WINDS-M is forced at the lateral boundaries by daily output from the 1/12° CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface hourly output from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency. Full 3D zonal velocity, meridional velocity, temperature, and salinity (U/V/T/S) fields are provided every 5 days." }, { "ob_id": 37622, "uuid": "b2b9bfe408f14ea7a79d9ff7aee0d0b8", "short_code": "ob", "title": "WINDS-C: A 1/50° decadal regional simulation of the Southwestern Indian Ocean with high frequency surface currents for Lagrangian applications (climatological forcing based on 1993-2018)", "abstract": "WINDS-C (Western Indian Ocean Simulation, Climatological) is a high-resolution (1/50° in the horizontal) regional ocean simulation spanning the SW Indian Ocean under climatological forcing (1993-2018), using the Coastal and Regional Ocean Community model (CROCO). WINDS-C is forced at the lateral boundaries by a monthly climatology from the 1/12° CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by a monthly climatology from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency. Full 3D zonal velocity, meridional velocity, temperature, and salinity (U/V/T/S) fields are provided every 5 days." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 179561, 179560, 179559, 179562, 179565, 179567, 179563, 179564, 179566 ], "onlineresource_set": [], "project_set": [ 37624 ] }, { "ob_id": 37907, "uuid": "65b50d3348cb4745bb7acfcf6f2057b8", "short_code": "coll", "title": "Integrated Research Observation System for Clean Air (OCSA): Birmingham, Manchester and London air quality supersites data collection", "abstract": "A collection of ground-based observation datasets made at 3 air quality supersites in Manchester, Birmingham and London for the Integrated Research Observation System for Clean Air (OSCA) project which is part of the Strategic Priorities Fund (SPF) Clean Air Programme. \r\n\r\nMeasurements were made of a broad range of atmospheric components by similar comprehensive instrument suites at the 3 sites on a longterm basis beginning at the end of 2018. Additional instrumentation was temporarily added for intensive operation periods in June 2021 and January 2022.\r\n\r\nThis project was a collaboration between University of Manchester, University of Birmingham, Kings College London, University of Cambridge, University of York, Centre for Ecology and Hydrology, National Centre for Atmospheric Science (NCAS) and University of Edinburgh.", "keywords": "OSCA, air quality, maqs, baqs, OSCA-AQ, laqs, lhop", "publicationState": "published", "dataPublishedTime": "2023-01-25T15:01:30", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39530, "uuid": "83f0d8ce1af040c09636c41366238217", "short_code": "ob", "title": "Particulate Distribution Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site 2019 onwards", "abstract": "Particulate Matter Distribution data measured at 7m above ground level by a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\nMeasurements include the abundance of mass concentration of PM1 ambient aerosol in air, mass concentration of PM2.5 ambient aerosol in air, mass concentration of PM10 ambient aerosol in Air, and the concentration of ambient aerosol particles." }, { "ob_id": 37961, "uuid": "671628b8f4474599ba074607e65c4bcc", "short_code": "ob", "title": "Methane, Carbon Monoxide, Carbon Dioxide and Water Abundance Measurements from a Los Gatos Research Ammonia Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Methane, carbon monoxide, carbon dioxide and water abundance measurements made at 7 metres above ground level by a Los Gatos Research Multi-Carbon Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 39892, "uuid": "5bdabb4cba5d43e6a577f72ae03ca25b", "short_code": "ob", "title": "OSCA IOP-1 Summer: Roadside site gas data (June-July 2021)", "abstract": "Measurements of a range of atmospheric gases made during the Integrated Research Observation System for Clean Air (OSCA) Intensive Operations Project 1 (IOP) in Summer (June-July) 2021 at the Manchester Air Quality Site (MAQS) and the Upper Brook Street, Manchester, roadside site.\r\n\r\nThis dataset include measurements of Soil NOx using the Lancaster University Dynamic Soil Chambers connected to a Teledyne N500 NOx analyser, hydrogen chloride using the Tunable IR Laser Direct Absorption Spectrometer (TILDAS) at the MAQS site, and carbon dioxide (CO2), Nitrous oxides (NOx) and Volatile Organic Compounds (VOCs) at the roadside site in Manchester" }, { "ob_id": 37946, "uuid": "e0f62422d38d419ca9384e017d351acc", "short_code": "ob", "title": "Number Concentration of Ambient Aerosol Particles in Air Data from Cloud Particle Condenser Instrument at Manchester Air Quality Site, 2019 onwards.", "abstract": "Number concentration of ambient aerosol particles in air data measured at 7m above ground level by Cloud Particle Condenser (CPC) Instruments at at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\n\r\nCloud Particle Condenser instrument 3750 was used (June 2019 - February 2021 and December 2021 - February 2022) and was switched over to Cloud Particle Condenser instrument 3772 (February - December 2021)" }, { "ob_id": 39537, "uuid": "8d8613a3d67a4e76adfe94c94ede6a4f", "short_code": "ob", "title": "Mass Concentration of the Non-Refractory Component of Ambient Aerosol Particles in Air Data from Aerosol Chemical Species Monitor (ACSM) at Manchester Air Quality Site, 2019-present", "abstract": "Mass Concentration of the Nitrate, Chloride, Sulphate, Ammonium and Organic Component of Ambient Aerosol Particles in Air measured at 7 metres above ground level by an Aerosol Chemical Species Monitor (ACSM) at the Manchester Air Quality Site (MAQS), from 2019 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 40312, "uuid": "8b92e02868d5430aa63f6b16d4801455", "short_code": "ob", "title": "Non-methane hydrocarbon data from the Manchester Air Quality site, 2022 onwards", "abstract": "A long term dataset of volatile organic carbons (VOCs) measured by a thermal desorption unit coupled to a gas chromatograph fitted with two flame ionisation detectors at the Manchester Air Quality Supersite from 2022 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37972, "uuid": "91625bdf73944c5e896eb56d1fec35ee", "short_code": "ob", "title": "Wind speed and direction data from Gill sonic windmaster instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Quality tested wind speed and wind direction data at 7m above ground level from a Gill Sonic Windmaster instruments at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37938, "uuid": "c5a629e1012b472c9b1fa130d2432fe1", "short_code": "ob", "title": "Particulate Matter Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Particulate matter data measured at 7m above ground level by a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\nMeasurements include the abundance of mass concentration of PM1 ambient aerosol in air, mass concentration of PM2.5 ambient aerosol in air, mass concentration of PM10 ambient aerosol in Air, and the concentration of ambient aerosol particles." }, { "ob_id": 37977, "uuid": "f60761f3279042859e5c2902dfa0f2ef", "short_code": "ob", "title": "Nitrogen Dioxide Abundance Data from Teledyne Model T500U Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass fraction of Nitrogen Dioxide (NO2) in air measured at 7m above ground level by a Teledyne Model T500U Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 39889, "uuid": "856b788f5e934fa1bf8d1793fdcb3f56", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k instrument deployed at the Manchester Air Quality Supersite (MAQS), UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k deployed at Manchester Air Quality Supersite (MAQS), UK.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-MCR.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37997, "uuid": "21723af1f2a640c6990ce9cb3b70aaef", "short_code": "ob", "title": "Elemental Composition Data of Ambient PM2.5 and PM10 Aerosol Particles in Air from a Cooper XACT 625i Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Elemental Composition of Ambient Aerosol Particles in Air Data measured at 7m above ground level using a Cooper XACT 625i Instrument at the Manchester Air Quality Site for the Integrated Research Observation System for Clean Air (OSCA) project. Only PM10 Aerosols are analysed prior to December 2020, and both PM2.5 and PM10 are analysed from December 2020 onwards." }, { "ob_id": 37951, "uuid": "0a948ff688f24a9f87aed71ae38a4fc0", "short_code": "ob", "title": "Number and Speed of Drops in Precipitation per Minute from Disdrometer at Manchester Air Quality Site 2019- onwards", "abstract": "Data from Laser Precipitation Monitor Model 5.4110.00.000 to measure the frequency, speed and other factors for Solid and Liquid Precipitation at Manchester Air Quality Site (MAQS), 2019 onwards." }, { "ob_id": 37982, "uuid": "dd3a958c68074e9fbad07e4922b7b011", "short_code": "ob", "title": "CO Abundance Data from Thermo 48i Carbon Monoxide Analyser Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass fraction of carbon monoxide (CO) in air measured at 7m above ground level by a Thermo 48i Carbon Monoxide Analyser Instrument at the Manchester Air Quality Site (MAQS) from 2019 onwards for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37941, "uuid": "03fd47b671b9482293ba122d3b7044da", "short_code": "ob", "title": "Black Carbon and Ultraviolet Particulate Matter Levels detected from a Magee Scientific Aethalometer Model AE33 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Use of Magee Scientific Aethalometer Model AE33 Instrument to measure the Black Carbon and Ultraviolet Particulate Matter Levels from the Particlate Matter in Air Data at Manchester Air Quality Site (MAQS) from 2019 onwards. Black Carbon measurements were obtained using electromagnetic wavelengths 370, 470, 520, 590, 660, 880, 950 nm." }, { "ob_id": 39898, "uuid": "5c1742753edb40a78cb7d0c2aa003ab3", "short_code": "ob", "title": "OSCA IOP-2 Winter: Roadside site gas data (January-February 2022)", "abstract": "Measurements of a range of atmospheric gases made during the Integrated Research Observation System for Clean Air (OSCA) Intensive Operations Project 2 (IOP) in Winter (January-February) 2022 at the Manchester Air Quality Site (MAQS) and the Upper Brook Street, Manchester, roadside site.\r\n\r\nThis dataset include measurements of Soil NOx using the Lancaster University Dynamic Soil Chambers connected to a Teledyne N500 NOx analyser at the MAQS site, and carbon dioxide (CO2), Nitrous oxides (NOx) and Volatile Organic Compounds (VOCs) at the roadside site in Manchester" }, { "ob_id": 41381, "uuid": "0c37b06d024d4f8eb6f7ffc0c66d3b4e", "short_code": "ob", "title": "Wind speed and direction data from Gill sonic windmaster instrument at London Honor Oak Park Air Quality Supersite", "abstract": "One minute wind speed and wind direction data at 16m above ground level from a Gill Sonic Windmaster instruments at the London Honor Oak Park Air Quality Supersite (LHOP) for the Integrated Research Observation System for Clean Air (OSCA) project, 2021 onwards." }, { "ob_id": 37992, "uuid": "1d58f2f5e7874e55a83ca57311dcfb9a", "short_code": "ob", "title": "NO and NOy Abundance Data from Thermo Model 42i-Y NOY Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Oxides of nitrogen (NO and NOy) rates measured at 7 metres above ground level by a Thermo Model 42i-Y NOY Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37956, "uuid": "5fc811f707f54415b129882a38889501", "short_code": "ob", "title": "Ammonia and Water Abundance Measurements from Los Gatos Research Ammonia Analyzer Instrument at Manchester Air Quality Site 2019 onwards.", "abstract": "Ammonia (NH3) and water (H20) abundance measurements made at 7 metres above ground level by a Los Gatos research ammonia analyzer instrument at Manchester air quality site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37967, "uuid": "6f6366eb78c44875b2c92d3b8fe403c1", "short_code": "ob", "title": "Number concentration and size distribution of ambient aerosol particles in air measurements from a Cloud Particle Condenser instrument (SMPS) at the Manchester Air Quality Site, 2019 onwards", "abstract": "Number concentration and size distribution of ambient aerosol particles in air measurements made at 7m above ground level using a 3082 Scanning Mobility Particle Sizer (SMPS) in combination with a 3750 Cloud Particle Condenser (CPC) at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37987, "uuid": "966423f87a304c8b99a80f66c1b8e6fd", "short_code": "ob", "title": "Ozone Abundance Data from Model 49i Ozone Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass Fraction of Ozone (O3) in air measured at 7 metres above ground level by a Thermo Model 49i Ozone Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37924, "uuid": "62af3c6051044460aa0a716e2204bffc", "short_code": "ob", "title": "Meteorological Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Meteorological data including Temperature, Pressure and Humidity from a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project from 2019-onwards." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 180988, 180989, 180990, 180991, 180992, 180993, 180994, 193034, 193035, 193036 ], "onlineresource_set": [ 52765, 82645 ], "project_set": [ 37963 ] }, { "ob_id": 38137, "uuid": "b1211ad185e24b488d41dd98f957506c", "short_code": "coll", "title": "DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment", "abstract": "A collection of measurements made for the Deep Convective Microphysics Experiment (DCMEX) project. This includes in-situ airborne observations by the FAAM BAE-146 aircraft, cloud images from 2 NCAS cameras deployed at 3 sites in the area during the course of the field campaign and meteorological and aerosol measurements made at two groundbased stations.\r\n\r\nDCMEX examined the formation and development of clouds over mountains and was based in the Magdalena Mountains, New Mexico area, between July and August 2022.\r\n\r\nAssociated datasets are also available: \r\nTimelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign https://doi.org/10.5281/zenodo.7756710 \r\nDCMEX ground based radar data https://doi.org/10.5281/zenodo.10472266 \r\nand, the aircraft ice nucleating particle filter analysis https://doi.org/10.5518/1476", "keywords": "DCMEX, FAAM, airborne, atmospheric measurments, NCAS AMOF, cloud camera, aerosol, meteorology", "publicationState": "citable", "dataPublishedTime": "2022-09-20T12:00:00", "doiPublishedTime": "2024-04-30T08:00:50", "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 38153, "uuid": "6c7a6047f3b44d45b0c0055d1f3def76", "short_code": "ob", "title": "FAAM C301 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C301 took place on 23rd July 2022 over New Mexico, USA." }, { "ob_id": 41420, "uuid": "87afd9f974c6424290435bd9a418f71a", "short_code": "ob", "title": "DCMEX: meteorological data from Langmuir ground station for the New Mexico field campaign 2022", "abstract": "Meteorological data was collected by the University of Manchester at Langmuir ground station in the Magdalena Mountains, New Mexico, between July and August 2022 as part of the Deep Convective Microphysics Experiment (DCMEX) project.\r\n\r\nThis dataset contains meteorological data from two ground meteorological stations. A Gill MaxiMet GMX600 meteorological station was installed at the Langmuir Laboratory main building (33.97495N, 107.18100W, ~3255 m) next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. A second meteorological station, a Vaisalla WTX536 meteorological station, was installed at the Langmuir Kiva-2 laboratory next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. The meteorological stations are supported by the University of Manchester scientists." }, { "ob_id": 38189, "uuid": "4d98b78a85fa41bfa43a5775aee3c00f", "short_code": "ob", "title": "FAAM C310 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C310 took place on 2nd August 2022 over New Mexico, USA." }, { "ob_id": 41437, "uuid": "77a0e1e3bcbb49a5b4c89fe9cc90a788", "short_code": "ob", "title": "DCMEX: aerosol number-size distribution data from Langmuir ground station for the New Mexico field campaign 2022 - Version 1.0", "abstract": "Aerosol number-size distribution data collected by the University of Manchester at the Kiva-2 site at Langmuir ground station in the Magdalena Mountains, New Mexico, between July and August 2022 as part of the Deep Convective Microphysics Experiment (DCMEX) project. Instrument supplied by the National Centre for Atmospheric Science - Atmospheric Measurement and Observation Facility (NCAS-AMOF).\r\n\r\nThis version 1.0 dataset contains the aerosol size distribution data from the Kiva-2 site at Langmuir Laboratory. A GRIMM Optical Particle Counter (OPC) model 1.108 was installed at the Langmuir Laboratory Kiva-2 site (33.97495N, 107.18100W, ~3255 m). The GRIMM OPC was supported by AMOF and the University of Manchester scientists." }, { "ob_id": 38149, "uuid": "5ca07feaa3504929adafc3a77d3cf5de", "short_code": "ob", "title": "FAAM C300 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C300 took place on 22 July 2022 over New Mexico, USA." }, { "ob_id": 38165, "uuid": "2523de0b012241f5b70b2a94888d7c65", "short_code": "ob", "title": "FAAM C304 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C304 took place on 26th July 2022 over New Mexico, USA." }, { "ob_id": 38145, "uuid": "4112c04290fd43879a48ac38c500c67a", "short_code": "ob", "title": "FAAM C299 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C299 took place on 20th July 2022 over New Mexico, USA." }, { "ob_id": 38185, "uuid": "be8987cb2da44a5db1a486e7b4df1736", "short_code": "ob", "title": "FAAM C309 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C309 took place on 1st August 2022 over New Mexico, USA." }, { "ob_id": 38181, "uuid": "d1ab16c4aa144de3b7f015ef90bdaf89", "short_code": "ob", "title": "FAAM C308 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C308 took place on 31st July 2022 over New Mexico, USA." }, { "ob_id": 38169, "uuid": "4f0668da8939492f9af508a06db51551", "short_code": "ob", "title": "FAAM C305 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C305 took place on 27th July 2022 over New Mexico, USA." }, { "ob_id": 38193, "uuid": "d3e3ef7a3b8e425caec7fb89b194eeb3", "short_code": "ob", "title": "FAAM C311 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C311 took place on 3rd August 2022 over New Mexico, USA." }, { "ob_id": 38205, "uuid": "2ae1acd867b24d98af5e8fbf3ee539f2", "short_code": "ob", "title": "FAAM C314 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C314 took place on 7th August 2022 over New Mexico, USA." }, { "ob_id": 38197, "uuid": "44e63af3fc9e4b88948e1325c73132a2", "short_code": "ob", "title": "FAAM C312 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C312 took place on 4th August 2022 over New Mexico, USA." }, { "ob_id": 39197, "uuid": "b839ae53abf94e23b0f61560349ccda1", "short_code": "ob", "title": "DCMEX: cloud images from the NCAS Camera 11 from the New Mexico field campaign 2022", "abstract": "This dataset contains cloud images from the NCAS Camera 11, one of two identical cameras (designated as ncas-cam-11 and ncas-cam-12) captured at various sites around the Magdalena Mountains, New Mexico, USA, as part of the Deep Convective Microphysics Experiment (DCMEX). DCMEX examined the formation and development of clouds over mountains during July and August 2022.\r\n\r\nThese cameras were designed to take simultaneous images of the same object while placed a distance apart to create a stereo image, but this was not always possible; on some days only one camera was used or the two cameras were deployed in separate locations.\r\n\r\nThe images from this camera were taken during the duration of the DCMEX campaign of clouds from a range of sites. These are accompanied by similar images from a sibling camera (see connected dataset). Where the two cameras were operated at the same site they were synchronised in terms of camera settings (exposure, etc) and camera pointing directions to facilitate the onward use of images as stereoscopic imagery. For those latter instances files have been marked with stereo-a or stereo-b within the filename to denote where the images form the left of right image for such images. Other images do not contain these additional filename fields to denote when the cameras were used in stand-along mode. Note, due to the nature of coordinating images between the two cameras one was designated as the primary camera from which the settings were then conveyed to the secondary camera by the coordinating software. As a result exact image synchronisation wasn't possible and thus the secondary camera image may have a timestamp that is a second or so later." }, { "ob_id": 38201, "uuid": "eefc250e1dfb4142aa04e323aa449846", "short_code": "ob", "title": "FAAM C313 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C313 took place on 6th August 2022 over New Mexico, USA." }, { "ob_id": 40991, "uuid": "d1c61edc4f554ee09ad370f6b52f82ce", "short_code": "ob", "title": "DCMEX: cloud images from the NCAS Camera 12 from the New Mexico field campaign 2022", "abstract": "This dataset contains cloud images from the NCAS Camera 12, one of two identical cameras (designated as ncas-cam-11 and ncas-cam-12), captured at various sites around the Magdalena Mountains, New Mexico, USA, as part of the Deep Convective Microphysics Experiment (DCMEX). DCMEX examined the formation and development of clouds over mountains during July and August 2022.\r\n\r\nThese cameras were designed to take simultaneous images of the same object while placed a distance apart to create a stereo image, but this was not always possible; on some days only one camera was used or the two cameras were deployed in separate locations.\r\n\r\nThe images from this camera were taken during the duration of the DCMEX campaign of clouds from a range of sites. These are accompanied by similar images from a sibling camera (see connected dataset). Where the two cameras were operated at the same site they were synchronised in terms of camera settings (exposure, etc) and camera pointing directions to facilitate the onward use of images as stereoscopic imagery. For those latter instances files have been marked with stereo-a or stereo-b within the filename to denote where the images form the left of right image for such images. Other images do not contain these additional filename fields to denote when the cameras were used in stand-along mode. Note, due to the nature of coordinating images between the two cameras one was designated as the primary camera from which the settings were then conveyed to the secondary camera by the coordinating software. As a result exact image synchronisation wasn't possible and thus the secondary camera image may have a timestamp that is a second or so later." }, { "ob_id": 38157, "uuid": "6ea24f0f12754cda99e12f108eafff72", "short_code": "ob", "title": "FAAM C302 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C302 took place on 24th July 2022 over New Mexico, USA." }, { "ob_id": 38136, "uuid": "6ef666573b7247ce974a5574b3ee7dcf", "short_code": "ob", "title": "FAAM C297 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C297 took place on 16th July 2022 over New Mexico, USA." }, { "ob_id": 38161, "uuid": "2981d0a585b7407abcb15444151014b8", "short_code": "ob", "title": "FAAM C303 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C303 took place on 25th July 2022 over New Mexico, USA." }, { "ob_id": 38141, "uuid": "9c94557cd6214a0986ad6af3d17e5d87", "short_code": "ob", "title": "FAAM C298 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C298 took place on 19th July 2022 over New Mexico, USA." }, { "ob_id": 38173, "uuid": "2dd2f730cdf647b69dbd6b8b8e89ede4", "short_code": "ob", "title": "FAAM C306 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C306 took place on 29th July 2022 over New Mexico, USA." }, { "ob_id": 38209, "uuid": "168284dabc3d46e4a7f1e83c57da2240", "short_code": "ob", "title": "FAAM C315 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft.", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C315 took place on 8th August 2022 over New Mexico, USA." }, { "ob_id": 38177, "uuid": "baaf1b5b374e45e0a367c9cfb993cf0f", "short_code": "ob", "title": "FAAM C307 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C307 took place on 30th July 2022 over New Mexico, USA." } ], "identifier_set": [ 12863 ], "responsiblepartyinfo_set": [ 181681, 181682, 181683, 181684, 181685, 181686, 181687, 181690, 181689, 201923, 201933, 202056, 201922, 202057, 202058, 202059, 202060, 202061, 201926, 202062, 202063, 202064, 202065, 202066, 202067, 202068, 202069, 201921, 202070, 202071, 202072, 202073, 202074, 202075, 202076, 202077, 202078, 202079, 202080, 202081, 202082, 202083, 202084, 202085, 201929, 201930, 201931, 201932, 202086, 202087 ], "onlineresource_set": [ 85865, 86041, 86042, 86226, 93801, 93802 ], "project_set": [ 38131 ] }, { "ob_id": 38329, "uuid": "3ff7ae723d3542bab6525207a9092e2b", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.2 data collection", "abstract": "Soil Moisture data (version 06.2) 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 2021-12-31 and the ACTIVE product covering 1991-08-05 to 2021-12-31. 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). 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": "2023-03-10T12:23:19", "doiPublishedTime": "2023-05-03T13:36:37", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 38328, "uuid": "e83e62dd493447c5808f80c36b5acac7", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.2", "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 v06.2 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 2021-12-31. 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": 38327, "uuid": "4dd145a7060143cd875325390d3b01c8", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 06.2", "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 v06.2 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 2021-12-31. 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": 38326, "uuid": "898c950f441e400d8b569216ebe41cab", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 06.2", "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 v06.2 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 2021-12-31. 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": [ 12473 ], "responsiblepartyinfo_set": [ 182552, 182553, 182554, 182555, 182556, 182557, 182558, 182559, 182560, 182561, 182562, 182563, 182564, 182565, 182566, 182567, 182568, 182569, 182570, 182571 ], "onlineresource_set": [ 53130, 53128, 53133, 53129, 53131, 53132, 53134 ], "project_set": [ 13332 ] }, { "ob_id": 38335, "uuid": "ea3eb0714dc6402b905fe9f7ee50dbbc", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 07.1 data collection", "abstract": "Soil Moisture data (version 07.1) 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, FY-3C, FY3D, 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 2021-12-31 and the ACTIVE product covering 1991-08-05 to 2021-12-31. 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 at v07.1. 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": "2023-03-10T12:41:00", "doiPublishedTime": "2023-05-03T13:39:20", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 38331, "uuid": "e235d2980d6a441895f7221ff4787a6f", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 07.1", "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 v07.1 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 2021-12-31. 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": 38332, "uuid": "63e14c1e66124ccc857ce4e73ab601ed", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 07.1", "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, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v07.1 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 2021-12-31. 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": 38330, "uuid": "56d43a34ec3e4a85b3f311470f58e664", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 07.1", "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 v07.1 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, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP 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": 38334, "uuid": "0ae6b18caf8a4aeba7359f11b8ad49ae", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 07.1", "abstract": "An experimental break-adjusted soil-moisture product has been generated by the ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project for their v07.1 data release. The product attempts to reduce breaks in the final CCI product by matching the statistics of the datasets between merging periods. At v07.1, 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, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v07.1 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 2021-12-31. 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": 38333, "uuid": "c7e974411cfe4cf99cb077f7cb4d75d4", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 07.1", "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, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v07.1 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 2021-12-31. 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": [ 12474 ], "responsiblepartyinfo_set": [ 182672, 182673, 182674, 182675, 182676, 182678, 182679, 182677, 182680, 182681, 182682, 182683, 182684, 182685, 182686, 182687, 182688, 182689, 182690, 182691 ], "onlineresource_set": [ 53175, 53176, 53177, 53178, 53179, 83125, 83126, 87784, 92700 ], "project_set": [ 13332 ] }, { "ob_id": 38484, "uuid": "d9df49af5d7a49e7bf4c41dfbdd7b5e8", "short_code": "coll", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL 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) UKESM1-1-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, MOHC, UKESM1-1-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 38489, "uuid": "bf601997b2c342e991875ed683491c1e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, Emon, LImon, Lmon and SImon. 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": 38495, "uuid": "19b02068c0004bf7bcc6b729b2e98a8e", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"piControl\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"pre-industrial control\" (piControl) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": 38486, "uuid": "f75f5c5f57fc44ebb84a412b8d1e26fe", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"abrupt-4xCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"abrupt quadrupling of CO2\" (abrupt-4xCO2) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": 38492, "uuid": "6bf0a628fdeb4ed9a989a8d69e6781f1", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": 38808, "uuid": "a6b0d927fdaf42fa834c38cd9a35f18a", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"ssp370\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"gap-filling scenario reaching 7.0 based on SSP3\" (ssp370) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": 38805, "uuid": "0a0fc0b342c844bb8b29112f6f8490dd", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": 38482, "uuid": "10ae03c55fd64a65b06cf1fb9ff231bf", "short_code": "ob", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: AERmon, AERmonZ, Amon, CFmon, Emon, LImon, Lmon, Omon and SImon. 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": [ 183589, 183590, 183591, 183592, 183593, 183594, 183596, 183597, 183595 ], "onlineresource_set": [ 53815, 53816, 53827 ], "project_set": [ 28398 ] }, { "ob_id": 38653, "uuid": "44be0e06737b48be80cbef2acd78e18c", "short_code": "coll", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-ice-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-ice-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-ice-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 38651, "uuid": "3a7d3451d660428aaa8f218466d6a654", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"1pctCO2to4x-withism\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"simulation with interactive ice sheet forced by 1 percent per year increase in CO2 to 4xCO2 (subsequently held fixed)\" (1pctCO2to4x-withism) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, 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." }, { "ob_id": 38658, "uuid": "6f4a2ccd85fd49b0ac829e2ab2c39aa1", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"piControl-withism\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"preindustrial control with interactive ice sheet\" (piControl-withism) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, 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." }, { "ob_id": 38655, "uuid": "11629a1fad954cd9a23de51ec10e2a01", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"historical-withism\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"historical with interactive ice sheet\" (historical-withism) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, 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." }, { "ob_id": 38661, "uuid": "b8df02dae50346b2ac85d44f7c1ade4c", "short_code": "ob", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"ssp585-withism\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Natural Environment Research Council (NERC) UKESM1-ice-LL model output for the \"ssp585 with interactive ice sheet\" (ssp585-withism) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 185440, 185441, 185442, 185443, 185444, 185445, 185447, 185448, 185446 ], "onlineresource_set": [ 69562, 69563, 69574 ], "project_set": [ 31082 ] }, { "ob_id": 38945, "uuid": "1279fca41a2747cab8b4f40a90593319", "short_code": "coll", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MPI-M, MPI-ESM1-2-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39113, "uuid": "ff4e18e3d6524cdea7fcbd9621640ec2", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-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: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38943, "uuid": "3aec70ac57be4463b747fd8d93aa5df2", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"dcppc-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"dcppc-amv-neg\" experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39115, "uuid": "4a1f060a0f7045828533929de8870e29", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-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: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39119, "uuid": "7bd8ca3fb9944c4aae45cf446a93dfc0", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim6hr, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39121, "uuid": "10cf403857ba4bdfab09d8fa6866802c", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39117, "uuid": "20dcc4ee6573445b94bb7b21b3765f25", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-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: Prim6hr, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38947, "uuid": "651d6909710f420a9472a5388848790b", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"dcppc-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the \"dcppc-amv-pos\" experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 187263, 187264, 187265, 187266, 187267, 187268, 187270, 187271, 187269 ], "onlineresource_set": [ 80424 ], "project_set": [ 38942 ] }, { "ob_id": 38952, "uuid": "70748c581bcb4f8c9a569e3fed984f1c", "short_code": "coll", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MPI-M, MPI-ESM1-2-XR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39125, "uuid": "7bbcc5360452466699383b4bf3d3c939", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR 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: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38950, "uuid": "85462db08f0541cd99b4a242a19fdbe3", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"dcppc-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"dcppc-amv-neg\" experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39123, "uuid": "443382a0998a41ed8790723f6de5ac2e", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR 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: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39129, "uuid": "9f3409f617d04b1993eeb04e7b9c3b99", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim6hr, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38954, "uuid": "70669b5b826c42dcb5880b11df64d4da", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"dcppc-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"dcppc-amv-pos\" experiment. These are available at the following frequencies: Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39127, "uuid": "45cb7cf0d34348239bbafbbb8632b9e1", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR 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: Prim6hr, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39131, "uuid": "b04ffa305aed499cb48361fb447d989f", "short_code": "ob", "title": "PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 187302, 187303, 187304, 187305, 187306, 187307, 187309, 187310, 187308 ], "onlineresource_set": [ 80429 ], "project_set": [ 38942 ] }, { "ob_id": 38960, "uuid": "73e5a395f46a4c61918ef82b03528dcc", "short_code": "coll", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model.", "keywords": "PRIMAVERA, HighResMIP, climate change, CMCC, CMCC-CM2-HR4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 38965, "uuid": "10318e264cb74e05a3aa887b8d3fc29b", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Prim6hr. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38961, "uuid": "e198406b2ace48bbaa25b550285c3887", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 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: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38958, "uuid": "934665c4967947d58919c5deb111452f", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 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: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38967, "uuid": "539f635f8e39485bb3c8e21feaefea2c", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38963, "uuid": "88ef58a15f2e47058b1a7a6c6ee636a8", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-HR4 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: Prim6hr. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 187346, 187347, 187348, 187349, 187350, 187351, 187353, 187354, 187352 ], "onlineresource_set": [ 80435 ], "project_set": [ 38957 ] }, { "ob_id": 38971, "uuid": "fe0b7703520346ab98983d898684c897", "short_code": "coll", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model.", "keywords": "PRIMAVERA, HighResMIP, climate change, CMCC, CMCC-CM2-VHR4", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 38976, "uuid": "3de96593f40a4439b64171cc47a9b297", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequency: Prim6hr. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38969, "uuid": "3ae9dc3ebd004bca95391fcbf45d378d", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 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: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38978, "uuid": "7dc86850605a404bba34d0c3519b7cef", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38972, "uuid": "da01ab557abb4ae58a325c37b886b5bf", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 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: Prim6hr, PrimOday and PrimOmon. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 38974, "uuid": "616e24c7bbd5423faa051f15ffc79cc3", "short_code": "ob", "title": "PRIMAVERA: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 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: Prim6hr. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 187405, 187406, 187407, 187408, 187409, 187410, 187412, 187413, 187411 ], "onlineresource_set": [ 80446 ], "project_set": [ 38957 ] }, { "ob_id": 38983, "uuid": "5bfc864b6e014b48814461c3a392cc24", "short_code": "coll", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 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).PRIMAVERA Project : Collection of simulations from the the CNRM-CERFACS team CNRM-CM6-1 model.", "keywords": "PRIMAVERA, HighResMIP, climate change, CNRM-CERFACS, CNRM-CM6-1", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 38991, "uuid": "fa0a9fdb023049179e221b0c6ceff294", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimO6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38988, "uuid": "b525d329601941b99f66761d65981b60", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39145, "uuid": "bde0b2d371ae4b95a35b35019003c9d9", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, Prim6hr, Primday, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38981, "uuid": "0ba97efd08fe41a49868ecda27c149fa", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimO6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38984, "uuid": "016702ff1fcd4563884f7c5142586994", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hrPt, PrimO6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38986, "uuid": "cf45d3f5c3874b49bbe987b9c37607dd", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39142, "uuid": "3021f3bf4124445cafaff854ba5ab322", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the CNRM-CERFACS team CNRM-CM6-1 model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERday, AERmon, Amon, CFday, Eday, Efx, Emon, LImon, Lmon, Oday, Ofx, Omon, Prim6hr, Primday, SIday, SImon, day and fx. The runs included the ensemble members: r10i1p1f2, r11i1p1f2, r12i1p1f2, r13i1p1f2, r14i1p1f2, r15i1p1f2, r1i1p1f2, r2i1p1f2, r3i1p1f2, r4i1p1f2, r5i1p1f2, r6i1p1f2, r7i1p1f2, r8i1p1f2 and r9i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": [ 187475, 187476, 187477, 187478, 187479, 187480, 187483, 187485, 187486, 187484, 187481, 187482 ], "onlineresource_set": [ 80458 ], "project_set": [ 38980 ] }, { "ob_id": 38997, "uuid": "c013b31f8ec34f93baa0ace2c458ba0f", "short_code": "coll", "title": "PRIMAVERA: 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).PRIMAVERA Project : Collection of simulations from the the CNRM-CERFACS team CNRM-CM6-1-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, CNRM-CERFACS, CNRM-CM6-1-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39004, "uuid": "d478ecdeffe64a70ad286fecc66839e7", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39008, "uuid": "de0cd8e6123247daa0091bdb544621a1", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and Primmon. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38998, "uuid": "70dff22803c74108a696eac0a8a58064", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and Primmon. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39000, "uuid": "f817ea292b3445218ce926a9959ec908", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt, Primmon and PrimmonZ. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 38995, "uuid": "973b854788d34cd399328dfbf5ab3d16", "short_code": "ob", "title": "PRIMAVERA: the CNRM-CERFACS team CNRM-CM6-1-HR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and Primmon. The runs included the ensemble member: r1i1p1f2.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": [ 187552, 187553, 187554, 187555, 187556, 187557, 187560, 187562, 187561, 187563, 187558, 187559 ], "onlineresource_set": [ 80470 ], "project_set": [ 38980 ] }, { "ob_id": 39013, "uuid": "5e13b8493c84477796714119226252f6", "short_code": "coll", "title": "PRIMAVERA: 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 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.PRIMAVERA Project : Collection of simulations from the the EC-Earth-Consortium team EC-Earth3P model.", "keywords": "PRIMAVERA, HighResMIP, climate change, EC-Earth-Consortium, EC-Earth3P", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39011, "uuid": "38b5bb839bb841458a39d012f85bfb68", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39020, "uuid": "c8192c3387314ba6b38671f6d71616b3", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39018, "uuid": "e420b998f9044243bd4c5ef6978063d0", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39014, "uuid": "f6c7a7b37d0f4bcb9ddd34a409fd5c82", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39036, "uuid": "a1ee048826624c82964b96c210f49f61", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project 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: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1 and r1i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39016, "uuid": "474523a210f14f3da55b981e8de8458d", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39157, "uuid": "9b34ccfd4def4b9f8f05869c58b10db9", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39154, "uuid": "113b7fcad6f34af68753ffc0cd5866c9", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": [ 187817, 187818, 187819, 187820, 187821, 187822, 187855, 187887, 187856, 187823, 187888, 187889, 187857, 187824, 187890, 187858, 187825, 187826, 187859, 187891, 187827, 187860, 187892, 187828, 187893, 187861, 187894, 187829, 187862, 187830, 187863, 187895, 187896, 187831, 187864, 187865, 187832, 187897, 187866, 187833, 187898, 187867, 187899, 187834, 187900, 187868, 187835, 187836, 187869, 187901, 187902, 187837, 187870, 187838, 187903, 187871, 187872, 187839, 187904, 187905, 187840, 187873, 187874, 187906, 187841, 187907, 187875, 187842, 187908, 187876, 187843, 187909, 187844, 187877, 187878, 187910, 187845, 187879, 187911, 187846, 187847, 187912, 187880, 187913, 187848, 187881, 187849, 187914, 187882, 187915, 187883, 187850, 187884, 187916, 187851, 187917, 187885, 187852, 187853, 187918, 187886, 187854 ], "onlineresource_set": [ 80482 ], "project_set": [ 39010 ] }, { "ob_id": 39024, "uuid": "3a2e7a2b78314106b52180f7f17716a2", "short_code": "coll", "title": "PRIMAVERA: 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 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.PRIMAVERA Project : Collection of simulations from the the EC-Earth-Consortium team EC-Earth3P-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, EC-Earth-Consortium, EC-Earth3P-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39025, "uuid": "0ad6182a3a014a11a8cc5ffcf9848e52", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39029, "uuid": "db7eb78134854099875fdfbbc6111f7b", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project 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 frequencies: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39031, "uuid": "4a096ec20b48413395e7ac31af4a1a5e", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39022, "uuid": "d40c6e4beb7244c4ab3898dcd2ae25f6", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39027, "uuid": "4ba0b758aaf946018f0957e94c67b09c", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39151, "uuid": "8552d57b8d114fff882b1777e517e53a", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39033, "uuid": "228f8c00bca54ac4a69d42b00320637a", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-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: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": 39148, "uuid": "391ac3a6602e4798b35f3531dc8dea42", "short_code": "ob", "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r1i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\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": [ 188434, 188435, 188436, 188437, 188438, 188439, 188472, 188504, 188440, 188473, 188505, 188506, 188474, 188441, 188507, 188442, 188475, 188443, 188476, 188508, 188477, 188509, 188444, 188478, 188510, 188445, 188446, 188479, 188511, 188480, 188447, 188512, 188513, 188481, 188448, 188449, 188482, 188514, 188450, 188483, 188515, 188451, 188484, 188516, 188452, 188485, 188517, 188518, 188486, 188453, 188454, 188487, 188519, 188488, 188455, 188520, 188521, 188456, 188489, 188522, 188490, 188457, 188523, 188458, 188491, 188524, 188492, 188459, 188525, 188493, 188460, 188461, 188526, 188494, 188462, 188495, 188527, 188463, 188496, 188528, 188464, 188497, 188529, 188465, 188530, 188498, 188499, 188531, 188466, 188532, 188467, 188500, 188501, 188533, 188468, 188502, 188469, 188534, 188535, 188470, 188503, 188471 ], "onlineresource_set": [ 80493 ], "project_set": [ 39010 ] }, { "ob_id": 39041, "uuid": "40c2fe53cce4446c8cf1321318ab62bf", "short_code": "coll", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, ECMWF, ECMWF-IFS-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39042, "uuid": "108a8513abe84ebaafe9f5fcfcd49b08", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hr, Prim6hrPt and Primday. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1 and r6i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39163, "uuid": "4cbafbd9804c4aebbd8e1f8167f2d26b", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39039, "uuid": "af677f758a9d4069837bd3bc4cd372b6", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39047, "uuid": "87444667bc6c48c69840d3a5d5dedbdc", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project 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: PrimOday, PrimOmon and PrimSIday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39044, "uuid": "470e43e166c44e5990f4f74bc90562d6", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1 and r6i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39160, "uuid": "5e2dfd603baf452aa0f0f5c61d0f755f", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189267, 189268, 189269, 189270, 189271, 189272, 189274, 189275, 189273 ], "onlineresource_set": [ 80509 ], "project_set": [ 39038 ] }, { "ob_id": 39051, "uuid": "328ae69891214f65b7ad344b45c0e353", "short_code": "coll", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, ECMWF, ECMWF-IFS-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39052, "uuid": "240b2d986a8a4a37b3c729ed1a211f69", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hr, Prim6hrPt and Primday. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1 and r8i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39057, "uuid": "b34adda45b47491890265ff48feb857a", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39169, "uuid": "0ab959fac4694b6dbaac4ebca68fbf97", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39166, "uuid": "bf79ec8e022c4bd2acbccc11233a7f79", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i1p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i1p1f1, r30i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39049, "uuid": "4e7201ddfc4145bd8b5f6d656f1b1389", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39054, "uuid": "774fbba0e9fa4b50a9682e420e66e1a1", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-LR model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble members: r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1 and r8i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189321, 189322, 189323, 189324, 189325, 189326, 189328, 189329, 189327 ], "onlineresource_set": [ 80518 ], "project_set": [ 39038 ] }, { "ob_id": 39061, "uuid": "21b8b5ad1450425e88739fbbea9f0158", "short_code": "coll", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, ECMWF, ECMWF-IFS-MR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39062, "uuid": "27e7aea2e17e43cbadf67e2cfbab1745", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39059, "uuid": "c3f8a8d729b842a0bf0bc6f1645e70e1", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim6hrPt, PrimOday, PrimOmon, PrimSIday and Primday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39064, "uuid": "a45ce225f3a04af5a4698df9f6215df1", "short_code": "ob", "title": "PRIMAVERA: European Centre for Medium-Range Weather Forecasts (ECMWF) ECMWF-IFS-MR model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project 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: PrimOday, PrimOmon and PrimSIday. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189375, 189376, 189377, 189378, 189379, 189380, 189382, 189383, 189381 ], "onlineresource_set": [ 80527 ], "project_set": [ 39038 ] }, { "ob_id": 39069, "uuid": "0be9a83c9e7d4536aa3e330f3e176b06", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-HH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39067, "uuid": "4a11ba2074d84dd39521418ff8c9868f", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39070, "uuid": "b816ba2daae7460a92f2ca8e47504194", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project 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 frequencies: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189419, 189420, 189421, 189422, 189423, 189424, 189426, 189427, 189425 ], "onlineresource_set": [ 80535 ], "project_set": [ 39066 ] }, { "ob_id": 39074, "uuid": "45ba730bee5b4691917cb82a9b7a7672", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-HM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39079, "uuid": "fe364a5cb16143fbbe2de8a9b2d1c9d3", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39081, "uuid": "f080881efa9a4516b527fbb3b01c4803", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39077, "uuid": "c1d87b217c944ca88f2b0b9814235fd6", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39075, "uuid": "291a80b6870d4b7ea1f3358c9499187a", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39072, "uuid": "1aac2daef5aa402ba1f9bc80fac00c7d", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189448, 189449, 189450, 189451, 189452, 189453, 189455, 189456, 189454 ], "onlineresource_set": [ 80540 ], "project_set": [ 39066 ] }, { "ob_id": 39085, "uuid": "5cc1c7fa858e454db88d0e3ceac77b34", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-LL", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39088, "uuid": "9409e22c8b994ed58f439b73fdce4e41", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1, r1i3p1f1, r1i4p1f1, r1i5p1f1, r1i6p1f1, r1i7p1f1 and r1i8p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39090, "uuid": "03150e5165a44dfea4da3c2ecbab54d8", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39086, "uuid": "a0fda182b056459d9e35752922372ed7", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1, r1i3p1f1 and r1i4p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39083, "uuid": "cdcf8f83c3234e67a69c06b44a30af43", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189507, 189508, 189509, 189510, 189511, 189512, 189514, 189515, 189513 ], "onlineresource_set": [ 80551 ], "project_set": [ 39066 ] }, { "ob_id": 39094, "uuid": "3420cb7fe1de4399b515a27e9ab00e91", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-LM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39095, "uuid": "628432c044a74390abd8f0d9162a945f", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i14p1f1, r1i15p1f1, r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39092, "uuid": "0445629778dc4a5ea22a8c56f3ca5f99", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i14p1f1, r1i15p1f1, r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189556, 189557, 189558, 189559, 189560, 189561, 189563, 189564, 189562 ], "onlineresource_set": [ 80560 ], "project_set": [ 39066 ] }, { "ob_id": 39099, "uuid": "3b2cd2556e0347f2998adce3e6f4c76a", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-MH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39097, "uuid": "f615a67ba579483f911ae3429b67852d", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189585, 189586, 189587, 189588, 189589, 189590, 189592, 189593, 189591 ], "onlineresource_set": [ 80565 ], "project_set": [ 39066 ] }, { "ob_id": 39102, "uuid": "e22259236f1d4baa87a457714b3c346b", "short_code": "coll", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-MM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39111, "uuid": "3cf82303153d47888191d3161ebf186d", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"spinup-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39107, "uuid": "08ad7577b255459db3ba7245c91cdf41", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highresSST-present\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39103, "uuid": "90380756c123470ebdb29b94b2d44da8", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39105, "uuid": "c58b94a2b4fb4d05a6a19c498ea4b655", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"highresSST-future\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39100, "uuid": "ab3d2abe388240969df16a294dd50480", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"control-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM 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: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39109, "uuid": "8284062b0843471c98ce110ecee24f66", "short_code": "ob", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project data from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output for the \"coupled historical 1950-2014\" (hist-1950) experiment. These are available at the following frequencies: Prim1hr, Prim3hr, Prim3hrPt, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble members: r1i1p1f1, r1i2p1f1 and r1i3p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189604, 189605, 189606, 189607, 189608, 189609, 189611, 189612, 189610 ], "onlineresource_set": [ 80568 ], "project_set": [ 39066 ] }, { "ob_id": 39136, "uuid": "1715a34bee5340eb9a2eaea38d0b235b", "short_code": "coll", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NERC, HadGEM3-GC31-HH", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39134, "uuid": "28449c6fc12c437ea2c90fcb47616c1c", "short_code": "ob", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189778, 189779, 189780, 189781, 189782, 189783, 189785, 189786, 189784 ], "onlineresource_set": [ 80602 ], "project_set": [ 39133 ] }, { "ob_id": 39139, "uuid": "5eb7f6c2323d4ec7b6d9aa32d037921b", "short_code": "coll", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NERC, HadGEM3-GC31-HM", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39140, "uuid": "0805b267ff2a4d6abe6786a213f36b51", "short_code": "ob", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"hist-1950\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i2p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39137, "uuid": "1d02bce5ecd842e9a36771bfd559c628", "short_code": "ob", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output for the \"highres-future\" experiment", "abstract": "PRIMAVERA Project 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: Prim3hr, Prim3hrPt, Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt and PrimmonZ. The runs included the ensemble member: r1i2p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 189797, 189798, 189799, 189800, 189801, 189802, 189804, 189805, 189803 ], "onlineresource_set": [ 80605 ], "project_set": [ 39133 ] }, { "ob_id": 39175, "uuid": "a891cf222e26476180fa914286d5a4f0", "short_code": "coll", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NCAS, MetUM-GOML2-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39177, "uuid": "2eb3cb3526fe4e8fbb16f0b3fddda74f", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39173, "uuid": "90059d1dfd0145ddac0db08f9501c59e", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 190737, 190738, 190739, 190740, 190741, 190742, 190744, 190745, 190743 ], "onlineresource_set": [ 80631 ], "project_set": [ 39172 ] }, { "ob_id": 39182, "uuid": "ae4bddbafe5640a38e457429a34cb8c4", "short_code": "coll", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NCAS, MetUM-GOML2-LR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39184, "uuid": "5bd61c78606a4dd8839b0b89aa8ee303", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-pos\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-pos\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." }, { "ob_id": 39180, "uuid": "2d96ea5a71094bb58af393922ed55911", "short_code": "ob", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-neg\" experiment", "abstract": "PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the \"primWP5-amv-neg\" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 190776, 190777, 190778, 190779, 190780, 190781, 190783, 190784, 190782 ], "onlineresource_set": [ 80636 ], "project_set": [ 39172 ] }, { "ob_id": 39213, "uuid": "7409c7ea8a5045f8ab08e44db9cccb1a", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Technical Summary", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Technical Summary.\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 TS.1\r\n- data for Figure TS.9\r\n- input data for Figure TS.12 \r\n- data for Figure TS.13\r\n- data for Figure TS.15\r\n- data for Figure TS.17\r\n- data for Figure TS.19\r\n- data for Figure TS.22\r\n- input data for Figure TS.24\r\n- data for Figure TS.25\r\n- data for Box TS.2, Figure 1\r\n- data for Box TS.2, Figure 2\r\n- data for Box TS.4, Figure 1\r\n- input data for Box Ts.4, Figure 1\r\n- input data for Box TS.5, Figure 1\r\n- data for Box TS.6, Figure 1\r\n- data for Box TS.7, Figure 1\r\n- data for Box TS.13, Figure 1\r\n- data for Cross-Section Box TS.1, Figure 1", "keywords": "IPCC, AR6, WG1, Technical Summary", "publicationState": "published", "dataPublishedTime": "2024-11-12T10:10:53", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 38908, "uuid": "f3b6afe197d24d7eb58ed2364ac0f18e", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure TS.13 v20221111", "abstract": "Input data for Figure TS.13 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure TS.13 shows estimates of the net cumulative energy change for the period 1971–2018 associated with observations of changes in the Global Energy Inventory, Integrated Radiative Forcing and 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\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has 6 subpanels, with input data provided for panels a-f.\r\n\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nThis 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\nData provided in relation to figure\r\n---------------------------------------------------\r\nData provided in relation to Figure TS.13:\r\n\r\n- Data file: AR6_ERF_1750-2019.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\nNotes 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 ---------------------------------------------------\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 (Technical Summary)\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": 39769, "uuid": "e046adc115b04395937e793c9f3dbcb1", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure TS.12 (v20230301)", "abstract": "Input data for Figure TS.12 from the Technical Summary 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 TS.12 shows land-related changes relative to the 1850-1900 as a function of 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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with input data provided for all panels in subdirectories named Extremes, ModelSnow/sncbin and WaterCyclePanels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Relative frequency and intensity changes of 1-in-10- and 1-in-50-year extreme daily heat (TXx) in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Relative frequency and intensity changes of 1-in-10- and 1-in-50-year extreme daily precipitation rates (Rx1day) in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Relative frequency and intensity changes of 1-in-10-year drought events in CMIP6 models (ScenarioMIP) with respect to 1850-1900. Medians and 5, 17, 83, 95 percentiles.\r\n - Monthly NH snow cover extent changes (in %), dependent on the GWL (with respect to 1850-1900), for CMIP6 models (historical + ScenarioMIP), with respect to snow cover extent at 0°C GWL (1850-1900)\r\n - Average precipitable water (annual mean), precipitation rate (annual mean + interannual variability), and runoff (annual mean + interannual variability) over tropical land (|latitude|<30°), in the CMIP6 models that reach +5°C GWL in SSP5-8.5.\r\n - Average precipitable water (annual mean), precipitation rate (annual mean + interannual variability), and runoff (annual mean + interannual variability) over tropical land (|latitude|>30°), in the CMIP6 models that reach +5°C GWL in SSP5-8.5.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data file: Extremes/TXx_freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_intens_change_10_year_event.csv; relates to the orange thermometer symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_freq_change_50_year_event.csv; relates to the brown clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/TXx_intens_change_50_year_event.csv; relates to the brown thermometer symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel b:\r\n - Data file: Extremes/Rx1day _freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _intens_change_10_year_event.csv; relates to the orange rain cloud symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _freq_change_50_year_event.csv; relates to the brown clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/Rx1day _intens_change_50_year_event.csv; relates to the brown rain cloud symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel c:\r\n - Data file: Extremes/drought _freq_change_10_year_event.csv; relates to the orange clock symbols and small orange 3-pronged symbols above and below.\r\n - Data file: Extremes/drought _intens_change_10_year_event.csv; relates to the orange drop symbols and small orange 3-pronged symbols above and below.\r\n \r\n Panel d:\r\n Data files: ModelSnow/sncbin/sncbin_{model}_historical_ssp{xyy}.nc. For each model and scenario, these files contain a table that gives the snow cover extent changes for each month of the year and for 0.2°C-wide temperature bins. The colours represent the 5 scenarios (see legend, standard IPCC scenario colour code). Each dot represents one GWL (0.2°C bins) for one model and one scenario. The linear multi-model regression lines are coloured dependent on the scenario they represent.\r\n\r\n The filenames have been changed from the GitHub for archival with '_ssp' in the filename replacing the original '+ssp'.For example, file 'sncbin_BCC-CSM2-MR_historical_ssp126.nc' is named 'sncbin_BCC-CSM2-MR_historical+ssp126.nc' on GitHub. This needs to be changed back when plotting with the code or amended in the code. \r\n\r\n Panel e:\r\n - Data files: WaterCyclePanels/Hydro_vars_change_20210201_derived_tropic.json. Multi-model mean precipitable water, precipitation, and runoff (annual mean and interannual variability (standard deviation)).\r\n Left part of the panel:\r\n * Black full line: Precipitable water, annual mean, multi-model mean\r\n * Brown full line: Runoff, annual mean, multi-model mean\r\n * Brown dashed line: Runoff, interannual variability, multi-model mean\r\n * Blue full line: Precipitation, annual mean, multi-model mean\r\n * Blue dashed line: Precipitation, interannual variability, multi-model mean\r\n Right part of the panel: 17-83% inter-model ranges for the +5°C GWL.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nThis figure is plotted using python scripts which are archived on Zenodo at the link provided in the 'Related Documents' section of this catalogue record. A link to the GitHub repository for this figure is also provided. Please note that the filenames of the net-cdf files in ModelSnow/ have been changed from '+ssp' to '_ssp' which also needs to be amended in the code when running with these input files.\r\n\r\n Panel a:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel b:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel c:\r\n The Python script Extremes/TS2-Land-Extremes-202110.py reads the csv data sheets and plots the panel.\r\n\r\nPanel d:\r\n The Python script ModelSnow/AR6TS2-Snow.py reads the net-cdf data and plots the panel.\r\n\r\nPanel e:\r\n The Python script WaterCyclePanels/TS12-WaterCycle.py reads the json data sheets and plots the 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 (Technical Summary)\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the TS_Fig12 GitHub repository" }, { "ob_id": 37893, "uuid": "923b94820acd42a1888eaae24de328f8", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS4, Figure 1 (v20220817)", "abstract": "Data for Box TS4 from Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox TS4, Figure 1 shows global mean sea level change on different time scales and under different 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\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nWhen citing the SSP-based sea-level projections, please also include the following citation:\r\nGarner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. https://doi.org/10.5281/zenodo.5914710.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has three panels. Panel a shows global mean sea level (GMSL) change from 1900 to 2150, observed (1900–2018) and projected under the Shared Socioeconomic Pathway (SSP) scenarios (2000–2150). Panel b shows GMSL change on 100-, 2,000-, and 10,000-year time scales as a function of global surface temperature. Panel c shows timing of exceedance of different GMSL thresholds under different SSPs. \r\n\r\nFinal data is only available for panel c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nGlobal mean sea level change time-series from 1901-2150 for:\r\n- Observed global mean sea level change (1901-2018).\r\n- Projected global mean sea level change (2005-2150).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box TS4, Figure 1:\r\n\r\nSSP-based global mean sea level projections are archived as\r\n\r\nGarner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowicki, S., Palmer, M. D., Smith, C., Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Krinner, G., Mix, A., … Pearson, B. (2021). IPCC AR6 Sea Level Projections (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914710\r\n\r\nPanel c:\r\n\r\n- FigTS4-1c-milestone_ssp119_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n- FigTS4-1c-milestone_ssp126_data.nc\r\n\r\nSee sections 9.6.3.2 and 9.6.3.3 for detailed information on the SSP-based global mean sea level projections and their production.\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanel c data were plotted using standard open-source R software - code is available via the link 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 (Technical Summary)\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report, archived on Zenodo." }, { "ob_id": 39513, "uuid": "fe6074fee8a64a738cf89f0294bd9fb9", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.7, Figure 1 (v20221216)", "abstract": "Data for Box TS.7, Figure 1 from the Technical Summary 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 TS.7 figure 1 shows the effects of short-lived climate forcers (SLCFs) on global surface temperature and air pollution 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\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels, data provided for the right part of panels b and c in one single file. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains global changes in air pollutant concentrations (ozone and PM2.5), based on multimodel CMIP6 simulations:\r\n \r\n - changes in 5-year mean surface continental concentrations for 2040, relative to 2019.\r\n - changes in 5-year mean surface continental concentrations for 2098, relative to 2019.\r\n\r\n Data are for the SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP3-7.0 lowSLCF highCH4, SSP3-7.0 lowSLCF lowCH4 and SSP5-8.5 scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data file Box_TS7_figure1.csv relates to the right part of panels b and c.\r\n \r\n - Column 5 is used for the green bars\r\n - Columns 4 and 6 are used for the standard deviation plotted over the green bars.\r\n - Column 8 is used for the purple bars.\r\n - Columns 7 and 9 are used for the standard deviation plotted over the purple bars.\r\n\r\nPM2.5 refers to particulate matter that are 2.5 micrometers or less in diameter.\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\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\nSSP5-8.5 is based on Shares Socioeconomic Pathway 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\nSLCF stands for short-lived climate forcers.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n - Data Sources for effect on GSAT are the same as in Figure 6.24 (see Chapter 6 Supplementary Material Table 6.SM.3). \r\n\r\n- Data Sources for effect on surface PM2.5 and O3 are the same as in Figures 6.20 and 6.21 (see Chapter 6 Supplementary Material Table 6.SM.3)\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 (Technical Summary)\r\n - Links to the report components of the underlying chapter figures from which part of this figure was generated (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": 38886, "uuid": "3e344ee52c6b42a4ac37906f863b762e", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.2, Figure 1 (v20220817)", "abstract": "Data for Box TS.2, Figure 1 from the Technical Summary 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 TS.2, Figure 1 shows paleoclimate and recent reference periods, with selected key indicators.\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\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 three selected global climate indicators covary across multiple paleoclimate reference periods:\r\n - CO2\r\n - Temperature\r\n - Sea Level\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Data file: 'BoxTS2_Fig_1b.csv' :\r\n Box TS.2 Fig1 shows a subset of the data from Fig 2.34 (section 2.3.5). The CO2 data for the paleo reference periods are listed in Table 2.1 (section 2.2.3). The global temperature data in panels (a) and (b) are presented with explanation of assessed values in the text (section 2.3.1.1). Sea level in panel (a) is presented with explanation of assessed values in the text (section 2.3.3.3).\r\n\r\nGMST stands for global mean surface temperature.\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Table 2.1 lists underlying CO2 concentrations for reference periods.\r\n\r\n Cross-Chapter Box 2.1 lists and describes the paleoclimate climate reference periods.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from the Cenozoic to recent past, including multiple paleoclimate reference periods.\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 (Technical Summary)\r\n - Link to the report component for Chapter 2 containing relevant figures\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": 38905, "uuid": "1030d40a071d4929bf04e08bfbd22c10", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.25 v20221111", "abstract": "Data for Figure TS.25 from the Technical Summary 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 TS.25 shows the distribution of projected changes in selected climatic impact-driver (CID) indices for selected regions for Coupled Model Intercomparison Project Phases 5 and 6 (CMIP6, CMIP5) and Coordinated Regional Downscaling Experiment (CORDEX) model ensembles.\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n For all the panels, the data provided consists of ensemble statistics (q5, median and q95) of the spatial averages over the IPCC AR6 regions of the list of indicators below for CMIP5, CMIP6 and CORDEX, for the recent past (1995-2014), the mid-term (2041-2060) and long-term (2081-2100) future horizons, as well as the +1.5, +2, and +4°C of global warming levels.\r\n The list of indicators shown on the figure is:\r\n - number of days per year with SWE > 100mm (North-America)\r\n - number of days with the NOAA Heat Index exceeding 41°C (Central-America and Asia)\r\n - the 100-yr return period stream flow (South-America, Europe, Africa)\r\n - the number of days per year with Maximum temperature exceeding 35°C (Asia)\r\n - the Shoreline position change (Asia, Australasia)\r\n\r\nSWE stands for snow water equivalent\r\nNOAA stands for National Oceanic and Atmospheric Administration.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nUpper panels of Panel (a):\r\nThe change of the number of days with SWE > 100mm are related with figure 12.10(d) with the corresponding file names:\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)\r\n ** 'NAM-22_CORDEX_NORTH-AMERICA_SWE_mask14_AR6_regional_averages.json' : same as previous file for the CORDEX-core NAM-22 multimodel ensemble\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)\r\n\r\nMiddle panels of Panel (a): \r\nThe change of the NOAA HI exceeding 41°C are related to figure 12.SM.2 with the corresponding file names:\r\n ** 'CMIP5_HI41_AR6_regional_averages.json' : data for the CMIP5 multi-model ensemble\r\n ** 'CMIP6_HI41_AR6_regional_averages.json' : data for the CMIP6 multi-model ensemble\r\n ** 'CORDEX_HI41_AR6_regional_averages.json' : data for the CORDEX multi-model ensemble\r\n see the description of the data associated with figure 12.SM.2 for more details on the structure of the files\r\n\r\nLower panels of Panel (a) and left panels of Panel (b):\r\n100-yr return period stream flow is shown for South America (figure 12.8(c)), Europe (figure 12.9(c)) and Africa (figure 12.5(c)) with corresponding file names: \r\n ** 'Q100_${ensemble}/Q100_${scenario}_${period}.nc_${CORDEX_domain}.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, 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 - ${CORDEX_domain}: the CORDEX domain\r\n** 'Q100_${ensemble}/${GWL}_${CORDEX_domain}.txt' : files containing the Q100 regional averages of global warming levels with:\r\n - ${ensemble}: CMIP5, CMIP6 or CORDEX-core\r\n - ${GWL}: the Global Warming Level: 1.5, 2 or 4\r\n - ${CORDEX_domain}: the CORDEX domain\r\n\r\nRight panels of Panel (b):\r\nThe Maximum temperature exceeding 35°C (upper right) are related with figure 12.SM.1 with the corresponding file names:\r\n ** 'CMIP5_tx35isimip_AR6_regional_averages.json' : data for the CMIP5 multi-model ensemble\r\n ** 'CMIP6_tx35isimip_AR6_regional_averages.json' : data for the CMIP6 multi-model ensemble\r\n ** 'CORDEX_tx35isimip_AR6_regional_averages.json' : data for the CORDEX multi-model ensemble\r\n see the description of the data associated with figure 12.SM.1 for more details on the structure of the files\r\n\r\nThe Shoreline position change for EAS and RFE (upper middle right) (related to figure 12.6(d)), and in Australasia (lower right) (related to figure 12.7(d)) have corresponding data file names:\r\n ** 'globalErosionProjections_by_AR6_region_${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\nThe four panels on the NOAA Heat Index exceeding 41°C (lower middle right) are related with figure 12.SM.2 with the corresponding file names:\r\n ** 'CMIP5_HI41_AR6_regional_averages.json': data for the CMIP5 multi-model ensemble\r\n ** 'CMIP6_HI41_AR6_regional_averages.json': data for the CMIP6 multi-model ensemble\r\n ** 'CORDEX_HI41_AR6_regional_averages.json': data for the CORDEX multi-model ensemble\r\n\r\nGWL stands for global warming levels.\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 You can find the scripts and the data to reproduce the figures on Github (link in Related Documents section), following the description below. Links to the catalogue records for relevant Chapter 12 figures are in the Related Records section of this catalogue record. \r\n\r\nPanel a:\r\n- the upper panels on the change of the number of days with SWE > 100mm are related with figure 12.10, panel d\r\n- the middle three panels on the change of the NOAA HI exceeding 41°C are related with figure 12.SM.2 \r\n- the lower panels on the 100-yr return period stream flow are related with figure 12.8, panel c\r\n\r\nPanel b:\r\n- upper left panels on the 100-yr return period stream flow in Europe are related with figure 12.9, panel c\r\n- upper right panels on the Maximum temperature exceeding 35°C are related with figure 12.SM.1 \r\n- middle right panels on Shoreline position change for EAS and RFE are associated with figure 12.6, panel d\r\n- the four panels right below on the NOAA Heat Index exceeding 41°C are related with figure 12.SM.2\r\n- the lower left panels on the 100-yr return period stream flow in Africa are related with figure 12.5, panel c\r\n- the lower right panels on the Shoreline position change in Australasia are related with figure 12.7, panel d\r\n\r\nThe final assembling of the panels to get the final figure was done with post-processing.\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 (Technical Summary)\r\n - Link to Github for chapter 12 containing data and code\r\n - Link to code for Chapter 12 archived on Zenodo" }, { "ob_id": 37901, "uuid": "df7d665d7b7c4cadbd08558ea2e103c8", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box TS4, Figure 1 (v20220817)", "abstract": "Input Data for Box TS4 from Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nBox TS4, Figure 1 shows global mean sea level change on different time scales and under different 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\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nWhen citing the SSP-based sea-level projections, please also include the following citation:\r\nGarner, G. G., T. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. https://doi.org/10.5281/zenodo.5914710.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\nThe figure has three panels. Panel a shows global mean sea level (GMSL) change from 1900 to 2150, observed (1900–2018) and projected under the Shared Socioeconomic Pathway (SSP) scenarios (2000–2150). Panel b shows GMSL change on 100-, 2,000-, and 10,000-year time scales as a function of global surface temperature. Panel c shows timing of exceedance of different GMSL thresholds under different SSPs. \r\n\r\nInput data is only available for panel a and c. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\nGlobal mean sea level change time-series from 1901-2150 for:\r\n- Observed global mean sea level change (1901-2018).\r\n- Projected global mean sea level change (2005-2150).\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Box TS4, Figure 1:\r\n\r\nSSP-based global mean sea level projections are archived as\r\n\r\nGarner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowicki, S., Palmer, M. D., Smith, C., Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Krinner, G., Mix, A., … Pearson, B. (2021). IPCC AR6 Sea Level Projections (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914710\r\n\r\nPanel a:\r\n\r\nConsensus observational GMSL curve: gmsl_altimeter+TG_ensemble_28012021.mat\r\nThis file is not provided but a link to the Chapter 9 GitHub repository which contains this file is provided.\r\n\r\nSSP-based GMSL projections through 2100, medium confidence:\r\n- pbox1e_total_ssp119_globalsl_figuredata.nc\r\n- pbox1e_total_ssp126_globalsl_figuredata.nc\r\n- pbox1e_total_ssp245_globalsl_figuredata.nc\r\n- pbox1e_total_ssp370_globalsl_figuredata.nc\r\n- pbox1e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, medium confidence:\r\n- pbox1f_total_ssp119_globalsl_figuredata.nc\r\n- pbox1f_total_ssp126_globalsl_figuredata.nc\r\n- pbox1f_total_ssp245_globalsl_figuredata.nc\r\n- pbox1f_total_ssp370_globalsl_figuredata.nc\r\n- pbox1f_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections through 2100, low confidence:\r\n- pbox2e_total_ssp126_globalsl_figuredata.nc\r\n- pbox2e_total_ssp585_globalsl_figuredata.nc\r\n\r\nSSP-based GMSL projections after 2100, low confidence:\r\n- pbox2f_total_ssp126_globalsl_figuredata.nc\r\n- pbox2f_total_ssp245_globalsl_figuredata.nc\r\n- pbox2f_total_ssp585_globalsl_figuredata.nc\r\n\r\nPanel c:\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with parametric emulator for Antarctic ice sheet:\r\n- wf_1f_ssp119_milestone_figuredata.nc\r\n- wf_1f_ssp126_milestone_figuredata.nc\r\n- wf_1f_ssp245_milestone_figuredata.nc\r\n- wf_1f_ssp370_milestone_figuredata.nc\r\n- wf_1f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, medium confidence, with LARMIP-2 emulator for Antarctic ice sheet:\r\n- wf_2f_ssp119_milestone_figuredata.nc\r\n- wf_2f_ssp126_milestone_figuredata.nc\r\n- wf_2f_ssp245_milestone_figuredata.nc\r\n- wf_2f_ssp370_milestone_figuredata.nc\r\n- wf_2f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with DeConto et al. 2021-based Antarctic ice sheet projections incorporating Marine Ice Cliff Instability:\r\n- wf_3f_ssp126_milestone_figuredata.nc\r\n- wf_3f_ssp585_milestone_figuredata.nc\r\n\r\nThreshold exceedance timing under different SSPs, low confidence, with Bamber et al. 2019-based structured expert judgement ice sheet projections:\r\n- wf_4_ssp126_milestone_figuredata.nc\r\n- wf_4_ssp585_milestone_figuredata.nc\r\n\r\nSee sections 9.6.3.2 and 9.6.3.3 for detailed information on the SSP-based global mean sea level projections and their production.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nPanel a data were plotted using standard matplotlib software and a Linux shell script, - code is available via the link in the documentation. The code requires the input data provided here and the additional gmsl_altimeter+TG_ensemble_28012021.mat file from Figure 9.27. The link to this file from the Chapter 9 GitHub is provided. \r\n\r\nPanel c data were plotted using standard open-source R 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 (Technical Summary)\r\n- Link to the code for the figure, archived on Zenodo.\r\n- Link to the sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report, archived on Zenodo.\r\n - Link to figure data in matlab format on github" }, { "ob_id": 38227, "uuid": "f99ec964a6f345beadb000e295ac2e5b", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.9 v20220922", "abstract": "Data for Figure TS.9 from the Technical Summary 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 TS.9 shows changes in well-mixed greenhouse gas (WMGHG) concentrations and effective radiative forcing (EFR).\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\nPlease also include citations of the related publications for Figure 2.4b provided at the end of this abstract.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels, with data provided for panels b and c. Links to the code which contains the data for other panels are 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 - Panel TS.9a => Figure 2.3 c\r\n - Panel TS.9b => Figure 2.4 b\r\n - Panel TS.9c => Figure 2.5 a,b,c\r\n - Panel TS.9d => Figure 2.10\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Panel TS.9b => Figure 2.4 b\r\n - Panel TS.9c => Figure 2.5 a,b,c\r\n\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 450 Ma to 2020. \r\nMa refers to millions of years before present.\r\n\r\n\r\n---------------------------------------------------\r\nNotes on reproducing the figure from the provided data\r\n---------------------------------------------------\r\nData for figures 2.3 c and 2.10 are contained within the code to generate the figures which is linked in the Related Documents section of this catalogue record and data for Figure 2.5 and 2.4 panel b are provided. The corresponding catalogue records for Figure 2.5 and 2.4 are linked in the Related Records section below.\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 (Technical Summary)\r\n - Link to the report component of the underlying chapter figures from which this figure was generated (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 catalogue records of relevant figures the data is taken from in the Related Records section of this catalogue record\r\n- Link to code which contains data for figure 2.3 and 2.10\r\n\r\n\r\n---------------------------------------------------\r\nRelated publications for figure 2.4 panel b datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications from which the figure 2.4 panel b datasets originate. Relations to individual datasets are listed at the top of each dataset. Links are provided in the Related Documents section of the figure 2.4 catalogue record which is linked to this record.\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": 38862, "uuid": "fb803584c01b404983ec83fd85453231", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.6, Figure 1 (v20220817)", "abstract": "Data for Box TS.6, Figure 1 from the Technical Summary 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 TS.6, Figure 1 gives a geographical overview of the widespread changes in all components of the global water cycle using an intermediate emissions scenario (SSP2-4.5).\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has four panels. Each data file includes the panel letter immediately after the figure name.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains long-term (2081–2100) projected annual mean changes (%) relative to present-day (1995–2014) in the SSP2-4.5 emissions scenario for:\r\n \r\n - precipitation\r\n - surface evapotranspiration\r\n - total runoff\r\n - surface soil moisture.\r\n\r\n It also contains models agreement fraction on change sign.\r\n\r\n\r\nAll data combine time averages on observed period 1995-2014 and projection period 2081-2100.\r\n\r\n\r\nThe text file 'FigBoxTS-6-f1_md.txt' lists the metadata for the datasets, formatted as for the chapters data tables.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n There are 8 numeric files:\r\n FigBoxTS-6-f1_a_pr_agreement-fraction-on-sign_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_a_pr_means-rchange_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_b_evspsbl_agreement-fraction-on-sign_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_b_evspsbl_means-rchange_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_c_mrro_agreement-fraction-on-sign_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_c_mrro_means-rchange_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_d_mrsos_agreement-fraction-on-sign_ssp245_ANN_1995-2014_2081-2100.nc\r\n FigBoxTS-6-f1_d_mrsos_means-rchange_ssp245_ANN_1995-2014_2081-2100.nc\r\n \r\n Using field separator '_', the second field is panel number, the third is the variable (pr = precipitation, evspsbl = evaporation, mrro = runoff, rsos = soil moisture), the fourth is the derived variable (either the relative change of ensemble means of the base variable, or fraction of models which agree on sign of change of the base variable). ANN stands for 'annual mean'\r\n \r\n Two files are provided for each panel:\r\n - the ensemble mean of the relative change of the corresponding variable, which shows in the figure using colours (*means*.nc)\r\n - the fraction of models which agree on the sign of change, which shows in the figure using hatching, using the so called 'simple approach', described in AR6/WGI report Cross-Chapter Box Atlas.1 (*agreement*.nc)\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n For reproducing the figures using a map drawing software, one needs to reproduce the color table shown in the figure and to hatch according to the so called 'simple approach', described in AR6/WGI report Cross-Chapter Box Atlas.1 (Link to the Atlas in the Related documents section of this catalogue record), and at https://interactive-atlas.ipcc.ch/regional-information/about#robustness. Basically : a hatching should show on regions where agreement is less than 80%\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 (Technical Summary)\r\n - Link to the Interactive Atlas." }, { "ob_id": 40143, "uuid": "0481959c92944c41983dd024172ef84d", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.13, Figure 1 (v20230606)", "abstract": "Data for Box TS.13, Figure 1 from the Technical Summary 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 TS.13, Figure 1 shows global and regional monsoons: past trends and projected changes\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with data provided for panels b and c.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains\r\n \r\n - processed data for the figure from observation (CRU, GPCC & APHRO)\r\n - CMIP6 (DAMIP and future projection;SSP2-4.5)\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nDAMIP is the Detection and Attribution Model Intercomparison Project\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\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Percentile values for box and whisker plots and observed trends; for regional and global monsoon areas.\r\n \r\n - Data file: BoxTS.13.Fig1b_data.nc relates to panel b, showing historical trend in monsoon precipitation\r\n - Data file: BoxTS.13.Fig1c_data.nc relates to panel c, showing projected future change in monsoon precipitation (SSP2-4.45)\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The data can be used directly to plot the figure.\r\n\r\n For more details on the datasets used, please refer to the data table of Chapter 8 linked in the Related Documents.\r\n\r\n This dataset is also used in Figure 8.11 and Figure 8.22 , Chapter 8, AR6.\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 (Technical Summary)\r\n - Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1" }, { "ob_id": 38903, "uuid": "38401030f262490094dc9c8931c851e4", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure TS.24 (v20221111)", "abstract": "Input Data for Figure TS.24 from the Technical Summary 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 TS.24 shows projected change in the mean number of days per year with maximum temperature exceeding 35°C for CMIP5 (first column), CMIP6 (second column) and CORDEX (thirth column).\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 12 panels with input data provided for all panels.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains projected global changes in the mean number of days per year with maximum temperature exceeding 35°C for the multimodel ensemble of CORDEX (third column in the figure), for the SSP5-8.5 and SSP1-2.6 scenarios and for the 2041-2060 and 2081-2100 future periods, relative to the historical 1995–2014 period.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Data file: (panel a) CMIP5_TX35_rcp26_2041-2060_rel.to-1995-2014.nc and CMIP5_TX35_rcp26_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP2.6 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel b) CMIP5_TX35_rcp26_2081-2100_rel.to-1995-2014.nc and CMIP5_TX35_rcp26_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP2.6 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n - Data file: (panel c) CMIP5_TX35_rcp85_2041-2060_rel.to-1995-2014.nc and CMIP5_TX35_rcp85_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP8.5 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel d) CMIP5_TX35_rcp85_2081-2100_rel.to-1995-2014.nc and CMIP5_TX35_rcp85_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP8.5 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n - Data file: (panel e) CMIP6_TX35_ssp126_2041-2060_rel.to-1995-2014.nc and CMIP6_TX35_ssp126_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP6 and the SSP1-2.6 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel f) CMIP6_TX35_ssp126_2081-2100_rel.to-1995-2014.nc and CMIP6_TX35_ssp126_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP6 and the SSP1-2.6 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n - Data file: (panel g) CMIP6_TX35_ssp585_2041-2060_rel.to-1995-2014.nc and CMIP6_TX35_ssp585_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP6 and the SSP5-8.5 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel h) CMIP6_TX35_ssp585_2081-2100_rel.to-1995-2014.nc and CMIP6_TX35_ssp585_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP6 and the SSP5-8.5 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n - Data file: (panel i) CORDEX_TX35_rcp26_2041-2060_rel.to-1995-2014.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by CORDEX and the RCP2.6 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel j) CORDEX_TX35_rcp26_2081-2100_rel.to-1995-2014.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by CORDEX and the RCP2.6 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n - Data file: (panel k) CORDEX_TX35_rcp85_2041-2060_rel.to-1995-2014.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by CORDEX and the RCP8.5 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.\r\n - Data file: (panel l) CORDEX_TX35_rcp85_2081-2100_rel.to-1995-2014.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by CORDEX and the RCP8.5 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.\r\n\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The Script to generate panels (a) to (h) is Figure_TS24_columns1-2.R\r\n\r\nThe Script to generate panels (i) to (l) is Figure_TS24_column3.R \r\n\r\n Both scripts use R libraries from the climate4R framework (Iturbide et al. 2019). A link to the GitHub for installation and other information is provided in the Related Documents section of this catalogue record.\r\n\r\n Both scripts use material from the IPCC-WGI/Atlas GitHub repository (DOI:10.5281/zenodo.5171760). A link to the GitHub to clone the repository or download data is provided in the Related Documents section of this catalogue record.\r\n\r\n\r\n--------------------------------------------------\r\nAcronyms\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: Coordinated Regional Climate Downsclaing Experiment\r\nSSP5-8.5: is based on Shares Socioeconomic Pathway 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\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\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 (Technical Summary)\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to the climate4R framework (Iturbide et al. 2019) GitHub R libraries used in the scripyts for this figure\r\n- Link to the IPCC-WGI/Atlas GitHub repository (DOI:10.5281/zenodo.5171760)" }, { "ob_id": 38868, "uuid": "d6a301f3429b44e7924296f840f68fe6", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box TS.5, Figure 1 (v20220817)", "abstract": "Input Data for Box TS.5, Figure 1 from the Technical Summary 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 TS.5, Figure1 shows the carbon cycle sensitivity to forcings, future CO2 emissions pathways and the associated sinks and sink fractions.\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\nArias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 7 panels with data provided for all of them. A single python script plots the entire figure. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n - Carbon cycle feedback sensitivities from the CMIP6 models\r\n - CO2 concentration data used as input to the concentration driven historical and ssp simulations\r\n - CO2 concentrations from CMIP6 models from the emissions-driven SSP5-8.5 simulation\r\n - CO2 concentrations from MAGICC 7.5.1 model for the other scenarios\r\n - Carbon fluxes and derived emissions from the CMIP6 models up to 2100\r\n - Carbon fluxes from the CMIP6 models up to 2300\r\n\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure\r\n---------------------------------------------------\r\nData provided in relation to Box TS.5, Figure 1:\r\n\r\ncarbon cycle feedback sensitivities from the CMIP6 models (courtesy Charlie Koven): \r\n- carbon_feedback_parameters.nc\r\n\r\n\r\nSub-directory CMIP_data:\r\n\r\n CO2 concentration data used as input to the concentration driven historical and ssp simulations:\r\n - CMIP6_HIST_CO2.dat\r\n - CMIP6_SSP2300_CO2.dat\r\n - CMIP6_SSP_CO2.dat\r\n\r\nCO2 concentrations from CMIP6 models from the emissions-driven SSP5-8.5 simulation:\r\n -CMIP6_e-CO2.dat\r\n\r\nCarbon fluxes from the CMIP6 models up to 2300:\r\n - CESM2-WACCM_fgco2.dat\r\n - CESM2-WACCM_nbp.dat\r\n - CanESM5_fgco2.dat\r\n - CanESM5_nbp.dat\r\n - IPSL-CM6A-LR_fgco2.dat\r\n - IPSL-CM6A-LR_nbp.dat\r\n - UKESM1-0-LL_fgco2.dat\r\n - UKESM1-0-LL_nbp.dat\r\n\r\n\r\nSub-directory MAGIC_data:\r\nCO2 concentrations from MAGICC 7.5.1 model for the other scenarios (courtesy Zeb Nicholls and MAGICC team):\r\n- MAGICCv7.5.1_atmospheric-co2_esm-ssp119.nc\r\n - MAGICCv7.5.1_atmospheric-co2_esm-ssp126.nc\r\n - MAGICCv7.5.1_atmospheric-co2_esm-ssp245.nc\r\n - MAGICCv7.5.1_atmospheric-co2_esm-ssp370.nc\r\n - MAGICCv7.5.1_atmospheric-co2_esm-ssp534-over.nc\r\n - MAGICCv7.5.1_atmospheric-co2_esm-ssp585.nc\r\nMAGICC is maintained and developed by Malte Meinshausen, Jared Lewis and Zebedee Nicholls.\r\nIf you have any questions about MAGICC's output or would like to use it in a publication, please contact Malte Meinshausen, Jared Lewis and Zebedee Nicholls.\r\nThe setup used to generate this data is described extensively in Cross-chapter Box 7.1 and is based on Meinshausen et al. [2009](doi:10.1038/nature08017), [2011](doi:10.5194/acp-11-1417-2011) and [2020](doi:10.5194/gmd-13-3571-2020).\r\n\r\n\r\nSub-directory Liddicoat_data: \r\nCarbon fluxes and derived emissions from the CMIP6 models up to 2100 (courtesy Spencer Liddicoat):\r\n - fEmsHistoricalSsp119_GtCyr.txt\r\n - ffEmsHistoricalSsp126_GtCyr.txt\r\n - ffEmsHistoricalSsp245_GtCyr.txt\r\n - ffEmsHistoricalSsp370_GtCyr.txt\r\n - ffEmsHistoricalSsp434_GtCyr.txt\r\n - ffEmsHistoricalSsp460_GtCyr.txt\r\n - ffEmsHistoricalSsp534os_GtCyr.txt\r\n - ffEmsHistoricalSsp585_GtCyr.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp119.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp126.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp245.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp370.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp434.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp460.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp534os.txt\r\n - global_total_FGCO2_GtC_yr_HistoricalSsp585.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp119.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp126.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp245.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp370.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp434.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp460.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp534os.txt\r\n - global_total_NBP_GtC_yr_HistoricalSsp585.txt\r\n\r\n# multi-model, multi-scenario flux data from Liddicoat et al., 2020\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n The figure can be recreated by running the python script, TS_C_cycle.py\r\n\r\nThis requires the Iris package: in addition to standard python packages such as numpy and matplotlib. Links provided in the Related Documents section of this catalogue record:\r\n # SciTools: Open tools for the analysis and visualisation of Earth science data\r\n # iris: A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data\r\n\r\nThis has been tested and runs at:\r\n\r\nPython version: 3.6.6\r\nIris version: 3.0.1\r\n\r\nThe python script TS_C_cycle.py will read data and recreate the entire multi-panel figure from the data files provided for this figure. \r\n\r\n \r\n------------------------------------------------\r\nAcronyms\r\n--------------------------------------------------\r\n- CMIP6: is the sixth phase of the Coupled Model Intercomparison Project.\r\n- MAGICC 7.5.1: Model for the Assessment of Greenhouse Gas Induced Climate Change\r\n- SSP5-8.5: SSP5-8.5 is based on Shares Socioeconomic Pathway 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---------------------------------------------------\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 (Technical Summary)\r\n - Link to the code for the figure, archived on Zenodo.\r\n- Link to Liddicoat et al., 2020 \r\n- Link to SciTools (SciTools: Open tools for the analysis and visualisation of Earth science data)\r\n- Link to Iris (iris: A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data)" }, { "ob_id": 38230, "uuid": "d75fd35a7444433c9b5b78ef110495ab", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.22 v20220923", "abstract": "Data for Figure TS.22 from the Technical Summary 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 TS.22 shows a synthesis of the geographical distribution of climatic impact-drivers changes and the number of AR6 WGI reference regions where they 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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\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 This dataset contains:\r\n \r\n - geographical location of regions belonging to one of five groups characterized by a specific combination of changing climatic impact-drivers (CIDs).\r\n - number of AR6 WG1 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---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - 'Figure-F-Panels_IDL.xlsx' - Datafile containing data for both figures in excel sheets\r\n\r\nIndividual panel data in csv format:\r\n\r\n - Panel a: 'Figure-F-Panel_a_IDL.csv' - Description of the clustering used to generate panel a\r\n \r\n - Panel b: 'consolidated_data_figure_SPM.9.csv' - Same data used for Figure SPM.9 (count of regions with increasing or decreasing changes in climatic impact-drivers). First row relates to darker purple bars, second row to lighter purple bars, third row refers to lighter brown bars and fourth row to darker brown bars.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Link to the related record SPM.9 identical to panel b is provided in the Related Records section under Datasets.\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 (Technical Summary)\r\n - Link to the report component of the underlying figures from which this figure was generated (Figure SPM.9)\r\n - Link to the SPM.9 catalogue record at CEDA" }, { "ob_id": 38866, "uuid": "3d16a09c21c9440288608276b615c11f", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.1 v20221110", "abstract": "Data for Figure TS.1 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure TS.1 shows changes in atmospheric CO2 and global surface temperature (relative to 1850-1900) from the deep past to the next 300 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\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels with multiple subplots. Metadata provided for all the plots in the figure, and data is provided for the maps of surface temperature (projections and 2020) and for the atmospheric CO2 concentration corresponding to the paleo 60 - 1 million years time series, and paleo and direct measurements from 800 thousand years to 1980.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Atmospherics CO2 concentration (ppm) corresponding to the paleo 60–1 million years\r\n - Atmospherics CO2 concentration (ppm), paleo and direct measurements from 800 thousand years to 1980\r\n - Global surface temperature for 2020 (estimate of the total observed warming since 1850–1900).\r\n - Global surface temperature at 2100 and 2300 from CMIP6 models (relative to 1850-1900) for SSP1-2.6 and SSP5-8.5 scenarios.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Data file: CO2_60_Myr.csv (top row, atmospheric CO2 concentration corresponding to the paleo 60–10 million years time series)\r\n - Data file: fig2_4a_main_figure_data.csv (top row, paleo and direct measurements from 800 thousand years to 1980)\r\n - Data file: TS_BK_2020.nc (Global surface temperature map for 2020, estimate of the total observed warming since 1850–1900).\r\n - Data file: ensmean_tas_ssp126_2100-historical_1850_regrid.nc (Global surface temperature map at 2100 relative to 1850-1900 for SSP1-2.6 scenario)\r\n - Data file: ensmean_tas_ssp126_2300-historical_1850_regrid.nc (Global surface temperature map at 2300 relative to 1850-1900 for SSP1-2.6 scenario)\r\n - Data file: ensmean_tas_ssp585_2100-historical_1850_regrid.nc (Global surface temperature map at 2100 relative to 1850-1900 for SSP5-8.5 scenario)\r\n - Data file: ensmean_tas_ssp585_2300-historical_1850_regrid.nc (Global surface temperature map at 2300 relative to 1850-1900 for SSP5-8.5 scenario)\r\n\r\nCSV files were converted for archival from Excel workbooks.\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nppm stands for parts per million.\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\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\nSSP5-8.5 is based on Shares Socioeconomic Pathway 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\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from 60 Myr to 2300.\r\nMyr refers to millions of years before present.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nNotes on reproducing this figure are linked in a computation record found in the Process 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 (Technical Summary)\r\n - Links to the report components of the underlying chapter figures from which part of this figure was generated (Chapter 2 and Chapter 7)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in the figure\r\n - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in the figure\r\n - Link to the data for 2300 emissions scenarios described in section 4.7, archived on Zenodo.\r\n - Link to the data for 2300 projections from Figure 4.40a (section 4.7.1), archived on Zenodo." }, { "ob_id": 38898, "uuid": "c0d4d44aca4e490086df7e5f8f4463a3", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.17 (v20221111)", "abstract": "Data for Figure TS.17 from the Technical Summary 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 TS.17 shows an overview of physical and biogeochemical feedbacks in the climate system.\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\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 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 - Synthesis of physical, biogeophysical and non-carbon dioxide (CO2) biogeochemical feedbacks\r\n - Estimated values of individual biogeophysical and non-CO2 biogeochemical feedbacks.\r\n - Carbon-cycle feedbacks as simulated by models participating in the C4MIP of the Coupled Model Intercomparison Project Phase 6 (CMIP6).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data file: data_panel_a.csv: first column feedback name, second column bar length, third column minimum of the very likely range, fourth column maximum of the very likely range.\r\n \r\n Panel b:\r\n - Data file: data_panel_b.csv: first column feedback name, second column bar length, third column minimum of the 5-95% range, fourth column maximum of the 5-95% range.\r\n \r\n Panel c:\r\n - Data file: data_panel_c.csv: first column feedback name, second column bar length, third column minimum of the 5-95% range, fourth column maximum of the 5-95% range.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Script to reproduce the figure provided in this dataset (Plotting_Script.txt). R library extra font only required to set font type to Arial Narrow. Code executes without this library, but positioning of labels may be off.\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 (Technical Summary)\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 38235, "uuid": "29a0282f3b494c54a5e6c59f61e9202b", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.19 v20220923", "abstract": "Data for Figure TS.19 from the Technical Summary 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 TS.19 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\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\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 yer periods)\r\n - Net land flux (accumulated over 50 yer periods)\r\n - Net ocean flux (accumulated over 50 yer periods)\r\n\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 Illustrator.\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 (Technical Summary)\r\n - Link to the report component of the underlying chapter figures from which this figure was generated (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" }, { "ob_id": 38128, "uuid": "1f359da21c4041b4ab0977d05c7d38f0", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.15 (v20220916)", "abstract": "Data for Figure TS.15 from the Technical Summary 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 TS.15 shows contribution to ERF and global surface temperature change from component emissions between 1750 to 2019 based on CMIP6 models, and net aerosol effective radiative forcing (ERF) from different 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\n Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\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 underlying chapter figures (6.12 and 7.5).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n Figure 6.12:\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\n\r\nFigure 7.5:\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\n\r\nDetails about the dataset in the catalogue records of the underlying chapter figures (6.12 and 7.5)\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a and panel b:\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\n Panel c:\r\n - Data file: table7.6.csv: input data for figure 7.5\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 ERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.\r\n ERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.\r\n IRFari stands for Instantaneous Radiative Forcing of aerosol-radiation interaction.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel a and panel b are identical to panel a and panel b of figure 6.12. Panel c is identical to figure 7.5.\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 (Technical Summary)\r\n - Link to the code for the figure, archived on Zenodo.\r\n - Link to underlying chapter figures from which the figure was generated (Figure 6.12, Figure 7.5)\r\n - Link to code used to produce figure 7.5 on the Chapter 7 GitHub repository." }, { "ob_id": 39752, "uuid": "62b675f929974746bbf72fdc773cf0ec", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Cross-Section Box TS.1, Figure 1 (v20230203)", "abstract": "Data for Figure CSB TS.1, 1 from the Technical Summary 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-Section Box TS.1 Figure 1, shows Earth's surface temperature history and projections to 2100\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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has five panels with data provided for panels a, b and c from the underlying chapter figures (2.11, 4.19). Data for panel e is from Figure 4.11 and a link is provided to data and code in the Related Documents section.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Global surface temperature changer over the Holocene divided into three time scales: (i) 12,000 to 1000 years ago (10,000 BCE to 1000 CE) in 100-year time steps, (ii) 1000 to 1900 CE, 10-year smooth, and (iii) 1900 to 2020 CE. All temperatures are relative to 1850–1900.\r\n - Spatially resolved temperature trends (°C per decade) for HadCRUTv5 over 1981–2020\r\n - Multi-model temperature mean projected changes from 1995–2014 to 2081–2100 in the SST3-7.0 scenario.\r\n - Temperature from instrumental data for 1850–2020.\r\n - Assessed projected temperature change in 20-year running mean global surface temperature for five scenarios (central estimate, very likely range for SSP1-2.6 and SSP3-7.0), relative to 1995–2014 and 1850–1900.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - Panels (a), (c) and the top part of (b) are from Figure 2.11.\r\n - The bottom part of (b) is from Figure 4.19.\r\n - Panel (e) is from Figure 4.11.\r\n\r\nPanel a (from Figure 2.11 panel a):\r\n- Figure_2_11a-PAGES_2k_Consortium.csv (center) \r\n- Figure_2_11_panel_a.csv (right)\r\n\r\n\r\n Panel b (upper part from Figure 2.11 input data)\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- Figure_2_11-notes_on_HadCRUT_trend_files.pdf\r\n\r\n Panel b (lower part from Figure 4.19)\r\n- ‘Data_shown_in_figure.nc’\r\n\r\n\r\n Panel c (from Figure 2.11 panel c input data)\r\n- Figure_2_11c-lower_panel.csv (lower)\r\n- Figure_2_11c-lower_panel.xlsx : same as Figure_2_11c-lower_panel.csv but with the format used by the code that generates the figure.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n Panel d:\r\n\r\nThe data lines are single ensemble members of SSP2-4.5 from BCC-CSM2-MR, FGOALS-f3-L, MPI-ESM1-2-HR, MPI-ESM1-2-LR, selected on the criterium that they have a diagnosed ECS less than 0.1K away from 3.0.\r\n\r\nThe CMIP6 repository is identical to the one used for Box 4.1 figure 1. The same 39 models with historical simulations are plotted. HadCRUT5 is the same reference as for Box 4.1 figure 1. Assessed GSAT is the same as produced by the figure 4.11 code.\r\n\r\nNotes on HadCRUT trend maps\r\nFor each time period, there are two plain text files: one showing the trend values (in °C per decade), the other an indicator of significant (1 = significant, 0 = non-significant, -99 = missing data). Gridpoints with insufficient data for trend calcula)on are shown with a trend of -999.0. The values are on a 5-degree grid, with rows from longitude -177.5 to 177.5 and columns from latitudes -87.5 to 87.5.\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 (Technical Summary)\r\n - Links to the report components of the underlying chapter figures from which part of this figure was generated (Chapter 2 and 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\r\n- Link to figure 4.11 data stored on WDC-Climate\r\n - Link to the code for figure 4.11, archived on Zenodo." }, { "ob_id": 38883, "uuid": "b9bbc5ea2d3f4e44ae06d19a010cea9c", "short_code": "ob", "title": "Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Box TS.2, Figure 2 (v20220817)", "abstract": "Data for Box TS.2, Figure 2 from the Technical Summary 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 TS.2 figure 2, shows global surface temperature as estimated from proxy records and climate 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 Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.\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 underlying chapter figures. \r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Proxy-based and model-simulated estimates of global surface temperature agree across multiple reference periods.\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - Data file: BoxTS_2_Fig_2a.csv: The 'reconstructed temperature' is the same as the global surface temperature in BoxTS.2 Fig. 1. The 'simulated temperature' is the average values for model outputs shown in Fig 3.44a\r\n\r\nPanel b:\r\n - The data for BoxTS.2 Fig 2b uses the same those in Fig 3.2c, except the TS shows 10-year smooth whereas Fig 3.2c shows 20-year smooth, and the TS shows the averages (with 5-95% ranges) of the 32 simulations that are shown separately in Fig. 3.2c.\r\n\r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\n List of underlying chapter figures from which the figure was generated: Figure 2.34, Figure 3.2c, Figure 3.44a \r\n \r\n Paleoclimate reference periods are listed and described in Cross-Chapter Box 2.1\r\n \r\n Observed temperature (1850-2020) from Table 2.SM.1\r\n\r\n---------------------------------------------------\r\nTemporal Range of Paleoclimate Data\r\n---------------------------------------------------\r\nThis dataset covers a paleoclimate timespan from the Cenozoic, including multiple paleoclimate reference periods, to the past millennium. \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 (Technical Summary)\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 report component containing underlying chapter figures from which the figure was generated (Figure 3.2c, Figure 3.44a)\r\n\r\n Catalogue records of related figures from Chapter 3 are linked in the Related Records section of this catalogue record." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 190916, 190917, 190918, 190919, 190920, 190921, 190922, 190923, 190925, 190924, 190926, 190927 ], "onlineresource_set": [ 80665, 80664 ], "project_set": [ 32705 ] }, { "ob_id": 39238, "uuid": "815e52e0ccb44bdda28b3eb9682388e5", "short_code": "coll", "title": "WCRP CMIP6: the E3SM-Project team E3SM-2-0 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-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, E3SM-Project, E3SM-2-0", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39240, "uuid": "d63aaeda6e34414b9e81bb56d3fa6566", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-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 E3SM-Project team E3SM-2-0 model output for the \"pre-industrial control\" (piControl) 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 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": 39236, "uuid": "4638e11ba7434dc188928aab0f4b0a53", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-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 E3SM-Project team E3SM-2-0 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 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)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 191029, 191030, 191031, 191032, 191033, 191034, 191043, 191051, 191035, 191044, 191052, 191045, 191036, 191053, 191054, 191037, 191046, 191047, 191038, 191055, 191048, 191056, 191039, 191049, 191040, 191057, 191041, 191050, 191058, 191042 ], "onlineresource_set": [ 80673, 80674, 80685 ], "project_set": [ 30734 ] }, { "ob_id": 39245, "uuid": "c21d744d20db4752a679e1009d46821c", "short_code": "coll", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-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 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.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-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-Earth3-HR", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39243, "uuid": "ec1c175dee2048aba0e1a4af779576da", "short_code": "ob", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-HR 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-HR model output for the \"hindcast initialized based on observations and using historical forcing\" (dcppA-hindcast) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: s1990-r10i2p1f1, s1990-r1i2p1f1, s1990-r2i2p1f1, s1990-r3i2p1f1, s1990-r4i2p1f1, s1990-r5i2p1f1, s1990-r6i2p1f1, s1990-r7i2p1f1, s1990-r8i2p1f1, s1990-r9i2p1f1, s1991-r10i2p1f1, s1991-r1i2p1f1, s1991-r2i2p1f1, s1991-r3i2p1f1, s1991-r4i2p1f1, s1991-r5i2p1f1, s1991-r6i2p1f1, s1991-r7i2p1f1, s1991-r8i2p1f1, s1991-r9i2p1f1, s1992-r10i2p1f1, s1992-r1i2p1f1, s1992-r2i2p1f1, s1992-r3i2p1f1, s1992-r4i2p1f1, s1992-r5i2p1f1, s1992-r6i2p1f1, s1992-r7i2p1f1, s1992-r8i2p1f1, s1992-r9i2p1f1, s1993-r10i2p1f1, s1993-r1i2p1f1, s1993-r2i2p1f1, s1993-r3i2p1f1, s1993-r4i2p1f1, s1993-r5i2p1f1, s1993-r6i2p1f1, s1993-r7i2p1f1, s1993-r8i2p1f1, s1993-r9i2p1f1, s1994-r10i2p1f1, s1994-r1i2p1f1, s1994-r2i2p1f1, s1994-r3i2p1f1, s1994-r4i2p1f1, s1994-r5i2p1f1, s1994-r6i2p1f1, s1994-r7i2p1f1, s1994-r8i2p1f1, s1994-r9i2p1f1, s1995-r10i2p1f1, s1995-r1i2p1f1, s1995-r2i2p1f1, s1995-r3i2p1f1, s1995-r4i2p1f1, s1995-r5i2p1f1, s1995-r6i2p1f1, s1995-r7i2p1f1, s1995-r8i2p1f1, s1995-r9i2p1f1, s1996-r10i2p1f1, s1996-r1i2p1f1, s1996-r2i2p1f1, s1996-r3i2p1f1, s1996-r4i2p1f1, s1996-r5i2p1f1, s1996-r6i2p1f1, s1996-r7i2p1f1, s1996-r8i2p1f1, s1996-r9i2p1f1, s1997-r10i2p1f1, s1997-r1i2p1f1, s1997-r2i2p1f1, s1997-r3i2p1f1, s1997-r4i2p1f1, s1997-r5i2p1f1, s1997-r6i2p1f1, s1997-r7i2p1f1, s1997-r8i2p1f1, s1997-r9i2p1f1, s1998-r10i2p1f1, s1998-r1i2p1f1, s1998-r2i2p1f1, s1998-r3i2p1f1, s1998-r4i2p1f1, s1998-r5i2p1f1, s1998-r6i2p1f1, s1998-r7i2p1f1, s1998-r8i2p1f1, s1998-r9i2p1f1, s1999-r10i2p1f1, s1999-r1i2p1f1, s1999-r2i2p1f1, s1999-r3i2p1f1, s1999-r4i2p1f1, s1999-r5i2p1f1, s1999-r6i2p1f1, s1999-r7i2p1f1, s1999-r8i2p1f1, s1999-r9i2p1f1, s2000-r10i2p1f1, s2000-r1i2p1f1, s2000-r2i2p1f1, s2000-r3i2p1f1, s2000-r4i2p1f1, s2000-r5i2p1f1, s2000-r6i2p1f1, s2000-r7i2p1f1, s2000-r8i2p1f1, s2000-r9i2p1f1, s2001-r10i2p1f1, s2001-r1i2p1f1, s2001-r2i2p1f1, s2001-r3i2p1f1, s2001-r4i2p1f1, s2001-r5i2p1f1, s2001-r6i2p1f1, s2001-r7i2p1f1, s2001-r8i2p1f1, s2001-r9i2p1f1, s2002-r10i2p1f1, s2002-r1i2p1f1, s2002-r2i2p1f1, s2002-r3i2p1f1, s2002-r4i2p1f1, s2002-r5i2p1f1, s2002-r6i2p1f1, s2002-r7i2p1f1, s2002-r8i2p1f1, s2002-r9i2p1f1, s2003-r10i2p1f1, s2003-r1i2p1f1, s2003-r2i2p1f1, s2003-r3i2p1f1, s2003-r4i2p1f1, s2003-r5i2p1f1, s2003-r6i2p1f1, s2003-r7i2p1f1, s2003-r8i2p1f1, s2003-r9i2p1f1, s2004-r10i2p1f1, s2004-r1i2p1f1, s2004-r2i2p1f1, s2004-r3i2p1f1, s2004-r4i2p1f1, s2004-r5i2p1f1, s2004-r6i2p1f1, s2004-r7i2p1f1, s2004-r8i2p1f1 and s2004-r9i2p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (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": [ 191245, 191246, 191247, 191248, 191249, 191250, 191283, 191315, 191251, 191316, 191284, 191285, 191252, 191317, 191253, 191318, 191286, 191254, 191319, 191287, 191288, 191320, 191255, 191289, 191256, 191321, 191257, 191290, 191322, 191323, 191258, 191291, 191324, 191292, 191259, 191325, 191260, 191293, 191261, 191294, 191326, 191262, 191295, 191327, 191263, 191296, 191328, 191329, 191297, 191264, 191298, 191265, 191330, 191266, 191299, 191331, 191300, 191267, 191332, 191333, 191268, 191301, 191302, 191269, 191334, 191303, 191270, 191335, 191336, 191304, 191271, 191272, 191305, 191337, 191273, 191338, 191306, 191307, 191339, 191274, 191275, 191340, 191308, 191309, 191276, 191341, 191310, 191342, 191277, 191343, 191278, 191311, 191312, 191279, 191344, 191280, 191345, 191313, 191281, 191314, 191346, 191282 ], "onlineresource_set": [ 80696, 80697 ], "project_set": [ 31015 ] }, { "ob_id": 39373, "uuid": "3a5c1bedafce46bfbde5c5d049d364d1", "short_code": "coll", "title": "CCMI-2022 data produced by the CCSRNIES-MIROC32 model at NIES", "abstract": "The CCSRNIES-MIROC32 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 CCSRNIES-MIROC32 chemistry-climate model is run by the modelling team at NIES (National Institute for Environmental Studies) in Japan 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, NIES, CCSRNIES-MIROC32, APARC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39223, "uuid": "4262e08336404147878b3adeb4e68950", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\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": 39247, "uuid": "044f469131c34be9adb1f646492c5155", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\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" }, { "ob_id": 39269, "uuid": "541153fcb3c84b90aea4183b82dde8c2", "short_code": "ob", "title": "CCMI-2022: senD2-ssp126 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp126 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\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\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": 39249, "uuid": "d94d9e4a0f874083a426fdd32d730f1d", "short_code": "ob", "title": "CCMI-2022: senD2-ssp370 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp370 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\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\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\nMPI-ESM1-2-LR is a Max Planck Institute Earth System Model with a 1.5 degree resolution in the ocean.\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- 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" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192081, 192082, 192083, 192084, 192085, 192086, 192087, 194240 ], "onlineresource_set": [ 82450, 82451, 83265 ], "project_set": [ 32805 ] }, { "ob_id": 39374, "uuid": "12ea0a59df5c425ca99970a9f512c352", "short_code": "coll", "title": "CCMI-2022 data produced by the ACCESS-CM2-Chem model at CSIRO", "abstract": "The ACCESS-CM2-Chem 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 ACCESS-CM2-Chem chemistry-climate model is run by the modelling team at CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science) 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, ACCESS-CM2-Chem, CSIRO, CSIRO-ARCCSS, ARCCSS, APARC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 37341, "uuid": "031313dc6bfc4a0baabd58a51629bc21", "short_code": "ob", "title": "CCMI-2022: REF-D1 data produced by the ACCESS-CM2-Chem model at CSIRO", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the ACCESS-CM2-Chem chemistry-climate model run by the modelling team at the CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\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": 39277, "uuid": "c846354527ed4901a09d06baffa54ae2", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the ACCESS-CM2-Chem model at CSIRO", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the ACCESS-CM2-Chem chemistry-climate model run by the modelling team at the CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).\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\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\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" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192090, 192091, 192092, 192093, 192094, 192095, 192089, 194191 ], "onlineresource_set": [ 82454, 82453, 83271 ], "project_set": [ 32805 ] }, { "ob_id": 39375, "uuid": "bd97cfa2289a41ba92bb84d58113b1a8", "short_code": "coll", "title": "CCMI-2022 data produced by the CMAM model at CCCma", "abstract": "The CMAM model contribution to 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 CMAM chemistry-climate model is run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) 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, CMAM, CCCma, ECCC, APARC", "publicationState": "published", "dataPublishedTime": "2023-04-05T13:11:14", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39358, "uuid": "243bc3092b1447ea81008f759d3f0756", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 39355, "uuid": "3f06d743521f44a5ba8e666e11f66d6b", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\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": 39360, "uuid": "3c1cfa751e964629a780a58c7365caa3", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 43267, "uuid": "48b7dc37e20b4d35bfb9bdcc794b6315", "short_code": "ob", "title": "CCMI-2022: senD2-ssp126 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp126 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\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\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\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": 43957, "uuid": "755e708951b1452aa93d06a3b717e955", "short_code": "ob", "title": "CCMI-2022: senD2-ssp370 data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-ssp370 produced by the CMAM model run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada.\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\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\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": 43265, "uuid": "775ba04c5819456fab59cc33f80760ca", "short_code": "ob", "title": "CCMI-2022: senD2-fix data produced by the CMAM model at CCCma", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-fix produced by the Canadian Middle Atmosphere Model (CMAM) run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada for the Chemistry Climate Modelling Initiative (CCMI).\r\n\r\nIt used a baseline (SSP2-45) with a modified specified stratospheric aerosol distribution using a repeated annual cycle of the WACCM-calculated Surface Area Density (SAD) for 2025 (the WACCM background before stratospheric aerosol injection was initiated) and with specified SSTs/sea-ice as in senD2-sai.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": [ 192103, 192097, 192098, 192099, 192100, 192101, 192102, 194058 ], "onlineresource_set": [ 82455, 82456, 83269 ], "project_set": [ 32805 ] }, { "ob_id": 39387, "uuid": "2bcef71c38f4426c997d956ea79a7aaa", "short_code": "coll", "title": "CCMI-2022 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "The CNRM-MOCAGE 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 CNRM-MOCAGE chemistry-climate model is run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) 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, CNRM-MOCAGE, CNRM-CERFACS, APARC", "publicationState": "published", "dataPublishedTime": "2024-11-11T15:52:18", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39366, "uuid": "a29e20e863394bbd8a32470ebc8fa04b", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\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": 39369, "uuid": "ffc65489ff27406ca3ae9d7d1f898e85", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 39371, "uuid": "f1bb58935da44a27875a1a2e29dee9e1", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CNRM-MOCAGE model run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) in France.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": [ 192147, 192148, 192149, 192150, 192151, 192152, 192153 ], "onlineresource_set": [ 82457, 82458, 83272 ], "project_set": [ 32805 ] }, { "ob_id": 39388, "uuid": "97ad418aa55c44a7a2e6d1b1815f973d", "short_code": "coll", "title": "CCMI-2022 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "The EMAC-CCMI2 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 EMAC-CCMI2 chemistry-climate model is run by the MESSy-Consortium (Modular Earth Submodel System) in Germany 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, EMAC-CCMI2, MESSy-Consortium, APARC", "publicationState": "published", "dataPublishedTime": "2023-04-06T09:49:17", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39361, "uuid": "9b15ae551fda4035a7940a3adbe31691", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the EMAC-CCMI2 model run by the MESSy-Consortium (Modular Earth Submodel System) in Germany.\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": 39364, "uuid": "9ed74cb586c54c28b6b7ea4b398cfd8e", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the EMAC-CCMI2 model run by the MESSy-Consortium (Modular Earth Submodel System) in Germany.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": [ 192155, 192157, 192158, 192159, 192160, 192161, 192156, 194245 ], "onlineresource_set": [ 82459, 82460, 83270 ], "project_set": [ 32805 ] }, { "ob_id": 39389, "uuid": "5092335168ba4c94aa7bb07e98351f30", "short_code": "coll", "title": "CCMI-2022 data produced by the UKESM1-StratTrop model at NCAS-CAMBRIDGE", "abstract": "The UKESM1-StratTropmodel 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 UKESM1-StratTrop chemistry-climate model is run by the modelling team at NCAS-CAMBRIDGE (National Centre for Atmospheric Science) 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, UKESM1-StratTrop, NCAS-CAMBRIDGE, APARC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39345, "uuid": "2b93a4655e2645a898466c4ea9257c0e", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the UKESM1-StratTrop model at NCAS-CAMBRIDGE", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the UKESM1-StratTrop model run by the modelling team at NCAS-CAMBRIDGE (National Centre for Atmospheric Science).\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" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192163, 192164, 192165, 192166, 192167, 192168, 192169, 192742 ], "onlineresource_set": [ 82464, 82465, 83266 ], "project_set": [ 32805 ] }, { "ob_id": 39463, "uuid": "4e326c5a514e49dcb634b544eb26f4d8", "short_code": "coll", "title": "CCMI-2022 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "The GEOSCCM 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 GEOSCCM chemistry-climate model is run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) 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, GEOSCCM, NASA-GSFC, APARC", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 43613, "uuid": "07d609ca7d7942278d8f324a642535c0", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the GEOSCCM model run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) in the USA.\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\r\n\r\n- Chemical mechanisms and their applications in the Goddard Earth Observing System (GEOS) earth system model. Nielsen, J. E., Pawson, S., Molod, A., Auer, B., da Silva, A. M., Douglass, A. R., ... Wargan, K. (2017). Journal of Advances in Modeling Earth Systems, 9, 3019–3044. https://doi.org/10.1002/2017MS001011\r\n- Change in tropospheric ozone in the recent decades and its contribution to global total ozone. Liu, J., Strode, S. A., Liang, Q., Oman, L.D., Colarco, P. R., Fleming, E. L., et al. (2022). Journal of Geophysical Research: Atmospheres, 127, e2022JD037170. https://doi.org/10.1029/2022JD037170" }, { "ob_id": 39349, "uuid": "0689a7f2e0964a7b89e395ee68d7eee5", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the GEOSCCM model run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) in the USA.\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\r\n\r\n- Chemical mechanisms and their applications in the Goddard Earth Observing System (GEOS) earth system model. Nielsen, J. E., Pawson, S., Molod, A., Auer, B., da Silva, A. M., Douglass, A. R., ... Wargan, K. (2017). Journal of Advances in Modeling Earth Systems, 9, 3019–3044. https://doi.org/10.1002/2017MS001011\r\n- Change in tropospheric ozone in the recent decades and its contribution to global total ozone. Liu, J., Strode, S. A., Liang, Q., Oman, L.D., Colarco, P. R., Fleming, E. L., et al. (2022). Journal of Geophysical Research: Atmospheres, 127, e2022JD037170. https://doi.org/10.1029/2022JD037170" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192469, 192470, 192471, 192472, 192473, 192474, 192468 ], "onlineresource_set": [ 82529, 82530, 82889, 82890, 83267 ], "project_set": [ 32805 ] }, { "ob_id": 39464, "uuid": "bf4d8984b7ba4afbae13912f1167dd70", "short_code": "coll", "title": "CCMI-2022 data produced by the IPSL-CM6A-ATM-LR-REPROBUS model at IPSL", "abstract": "The IPSL-CM6A-ATM-LR-REPROBUS 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 IPSL-CM6A-ATM-LR-REPROBUS chemistry-climate model is run by the modelling team at IPSL (Institut Pierre Simon Laplace) in Paris 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, IPSL-CM6A-ATM-LR-REPROBUS, IPSL, APARC", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 39352, "uuid": "bdd12c0e28f94f3bbdae8bec49399300", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the IPSL-CM6A-ATM-LR-REPROBUS model at IPSL", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the IPSL-CM6A-ATM-LR-REPROBUS model run by the modelling team at IPSL (Institut Pierre Simon Laplace) in Paris.\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" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192476, 192477, 192478, 192479, 192480, 192481, 192475 ], "onlineresource_set": [ 82531, 82532, 83268 ], "project_set": [ 32805 ] }, { "ob_id": 39477, "uuid": "a46fffe939cf4430b9ce812ffc5e03da", "short_code": "coll", "title": "Meteorological Observations for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) project", "abstract": "This collection contains a range of meteorological observations made by instruments on board the German Icebreaker ship Polarstern for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) project.\r\n\r\nThe University of Leeds participation in MOSAiC was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF).", "keywords": "Arctic Ocean", "publicationState": "published", "dataPublishedTime": "2022-12-12T13:59:33", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 39226, "uuid": "25f1dfeed5224e26a132bba15bb91f38", "short_code": "ob", "title": "MOSAiC: Wind profiles from HALO Doppler lidar -version 1.0", "abstract": "Aerosol backscatter and along-beam Doppler velocities from a HALO Doppler lidar on board the German icebreaker Polarstern ship for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAIC) project. \r\n\r\nThe University of Leeds participation in MOSAiC was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF)." }, { "ob_id": 37046, "uuid": "c4abd037c7ad4019ad02d0c802e2f27e", "short_code": "ob", "title": "MOSAiC: Wind profiles from Galion G4000 Lidar Wind Profiler", "abstract": "Wind profiles from a Galion G4000 Doppler lidar for the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) project, derived from conical scans at 30 degree and 50 degree beam elevation angles.\r\n\r\nThe University of Leeds participation in the project- MOSAiC Boundary Layer -was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF). This was a year-long project on the German icebreaker Polarstern to study Arctic climate focused on measurements of atmospheric boundary layer dynamics and turbulent structure. The Galion wind profiler provides high resolution (~15m vertical and 5 minute temporal) measurements of wind profiles. Data are only available where sufficient particles are available to backscatter the laser light - in the clean arctic environment, this requires cloud or precipitation." }, { "ob_id": 39468, "uuid": "93f2cf31702d4cf3a35f35f899fc0c6b", "short_code": "ob", "title": "MOSAiC: Wind profiles and acoustic backscatter from a Scintec MFAS Sodar on Icebreaker Polarstern -version 1.0", "abstract": "Wind profiles and acoustic backscatter from a Scintec Flat Array Sodar (MFAS) Sodar deployed on the sea ice during for the international Multidisciplinary drifting Observatory for the Study of Arctic Climate\r\n(MOSAiC). Variables include vertical backscatter, intensity, mean wind speed and direction, wind components, and standard deviations of the wind variables - in the instrument reference frame - along with wind speed and direction in the earth frame, and quality control variables at 10 minute intervals. Also vertical backscatter only at 5 minute intervals.\r\n\r\nThe University of Leeds participation in the project- MOSAiC Boundary Layer -was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF). This was a year-long project on the German icebreaker Polarstern to study Arctic climate focused on measurements of atmospheric boundary layer dynamics and turbulent structure." }, { "ob_id": 38257, "uuid": "cc32622e68ad40bcac14fc6cd69ae4b7", "short_code": "ob", "title": "MOSAiC: Wind profiles from Galion G4000 Lidar Wind Profiler - Version 2", "abstract": "Wind profiles from a Galion G4000 Doppler lidar for the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) project, derived from conical scans at 30 degree and 50 degree beam elevation angles.\r\n\r\nThe University of Leeds participation in the project- MOSAiC Boundary Layer -was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF). This was a year-long project on the German icebreaker Polarstern to study Arctic climate focused on measurements of atmospheric boundary layer dynamics and turbulent structure. The Galion wind profiler provides high resolution (~15m vertical and 5 minute temporal) measurements of wind profiles. Data are only available where sufficient particles are available to backscatter the laser light - in the clean arctic environment, this requires cloud or precipitation.\r\n\r\nThis is version 2 of this dataset." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192547, 192548, 192549, 192542, 192543, 192544, 192545, 192546 ], "onlineresource_set": [], "project_set": [ 37021 ] }, { "ob_id": 39548, "uuid": "4937e1d35a7e4b03bf26d8fa3a30c590", "short_code": "coll", "title": "EuroCORDEX-UK: Regional climate projections for the UK", "abstract": "UK data from regional climate model runs from 1980-2080 under the RCP8.5 emissions scenario, produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) at 0.11 degree resolution (EUR-11). \r\n\r\nThe data is available at the same temporal resolutions as the UKCP18 regional model output: at daily, monthly, seasonal and annual timescales; and on a 12 km OSGB grid, and averaged over major UK river catchments, administrative regions, and the countries of the United Kingdom.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.", "keywords": "EuroCORDEX, CORDEX, regional, climate, UK, simulations, RCM, projections, UKCP18", "publicationState": "published", "dataPublishedTime": "2023-02-22T09:37:32", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39542, "uuid": "84548d27aac94c32bf94c4d9e7fd5323", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by Countries for 1980-2080", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for the countries of the UK.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 43158, "uuid": "28f7e3c0f738453c9b945ef1b1bd3262", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by River Basins for 1980-2080 (v20240104)", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for major UK river basins.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 39541, "uuid": "3da1c0a9458e48bfbc20622f4df7d15b", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by Administrative Regions for 1980-2080", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for administrative regions of the UK.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 43152, "uuid": "4b9a4bb5d29e4380b525e5579a277d45", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by Countries for 1980-2080 (v20240104)", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for the countries of the UK.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 39543, "uuid": "072fe59012d24ccaaa5b889a8b7a42b1", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by River Basins for 1980-2080", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for major UK river basins.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 43156, "uuid": "64c373057a5f4cb7afc24a579a1e55d9", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK by Administrative Regions for 1980-2080 (v20240104)", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains average values of indices for administrative regions of the UK.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 43154, "uuid": "9e7ff32e78194ded8ec5df683e30303a", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK domain at 12 km Resolution for 1980-2080 (v20240104)", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains 12 km data for the UK on the OSGB (WGS84) grid.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." }, { "ob_id": 39539, "uuid": "b109bd69e1af425aa0f661b01c40dc51", "short_code": "ob", "title": "EuroCORDEX-UK: Regional climate projections for the UK domain at 12 km Resolution for 1980-2080", "abstract": "Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n\r\nThis dataset contains 12 km data for the UK on the OSGB (WGS84) grid.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192829, 192830, 192831, 192832, 192833, 192834, 193521, 193522 ], "onlineresource_set": [ 82940 ], "project_set": [ 39547 ] }, { "ob_id": 39572, "uuid": "b21d053ef801467298cf87811467a7eb", "short_code": "coll", "title": "RisesAM-OceanWaves: An hourly simulation of sea surface waves for historic and future climate", "abstract": "This data collection comprises four simulations; covering two different domains and two different periods. RisesAM-NEA is a regional model of the North East Atlantic, and RisesAM-Global covers the world ocean. Each simulation is run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The global models are also forced with sea-ice cover from the same data source. The climate projections (1970-2100) are forced by EC-Earth (https://ec-earth.org/) Regional models are driven by the same climate models, downscaled to 12km resolution, under EuroCordex programme (https://euro-cordex.net/) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997). The data on a regular lat/long grid and the global wave model resolution is around 0.8 degrees, and the regional model is 1/12th degree. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to investigate the future wave conditions of Europe under climate change. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "publicationState": "published", "dataPublishedTime": "2023-04-04T13:47:30", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39564, "uuid": "5d59ab6cd1bc499bb539d5d608ca27a4", "short_code": "ob", "title": "RisesAM-NEA-clim: Hourly 1/12° regional simulations of the North East Atlantic Ocean sea surface waves (climatological forcing based on 1970-2100) for 2 climate futures", "abstract": "The climate projections for 2 possible futures (1970-2100) are forced by EC-Earth (https://ec-earth.org/) Regional models are driven by the same climate models, downscaled to 12km resolution, under EuroCordex programme (https://euro-cordex.net/) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution around 1/12th degree. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to investigate the future wave conditions of Europe under climate change. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The two scenarios are driven by different Representative Concentration Pathways (RCPs). The RCPs, RCP4.5 and RCP8.5, are labelled after a possible range of radiative forcing values in the year 2100 relative to pre-industrial values (+4.5, and +8.5 W/m2, respectively). The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)" }, { "ob_id": 39566, "uuid": "4d887826af00440fb04ec2cb85ad917a", "short_code": "ob", "title": "RisesAM-Global-ERA: An hourly 1° global simulation of Ocean sea surface waves (historic forcing based on 1979-2015 ERA interim)", "abstract": "This dataset covers the world ocean and is run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds and sea-ice (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution is around 0.8 degrees. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to benchmark the model before investigating future wave conditions under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)" }, { "ob_id": 39560, "uuid": "21a10e3de91d4d2da9a60489ba45df10", "short_code": "ob", "title": "RisesAM-NEA-ERA: An hourly 1/12° regional simulation of the North East Atlantic Ocean sea surface waves (historic forcing based on 1979-2015 ERA interim)", "abstract": "This dataset covers a regional model of the North East Atlantic run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution around 1/12th degree. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to benchmark the model before investigating future wave conditions of Europe under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)" }, { "ob_id": 39570, "uuid": "a0b47bc07a8a4b628a463960eb2c161b", "short_code": "ob", "title": "RisesAM-Global-clim: Hourly 1° global simulations of Ocean sea surface waves (climatological forcing based on 1970-2100) for 2 climate futures", "abstract": "This dataset covers the world ocean and it run for 2 climate futures. The climate projections (1970-2100) are forced by EC-Earth (https://ec-earth.org/) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997) on a regular lat/lon grid with resolution is around 0.8 degrees. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The two scenarios are driven by different Representative Concentration Pathways (RCPs). The RCPs, RCP4.5 and RCP8.5, are labelled after a possible range of radiative forcing values in the year 2100 relative to pre-industrial values (+4.5, and +8.5 W/m2, respectively). The data set is produced to benchmark the model before investigating future wave conditions under climate change. The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 192971, 192973, 192976, 192978, 192970, 192974, 192972, 192975, 192977 ], "onlineresource_set": [ 82799, 82800, 82801, 83221 ], "project_set": [ 39562 ] }, { "ob_id": 39574, "uuid": "0aa1ec0cf18e4065bdae8ae39260fe7d", "short_code": "coll", "title": "MOASA Clean Air Project: airborne atmospheric measurements collection", "abstract": "A long-term quality assured dataset of the three-dimensional distribution of pollutants (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) collected over southern UK, from August 2019 to April 2022, using the instrumented Met Office Atmospheric Survey Aircraft (MOASA). It includes 60 flights (totalling over 153 hours of atmospheric sampling), across 8 repeatable sorties made for the MOASA Clean Air project.\r\n\r\nData are presented as one NetCDF file per flight, containing quality assured, time synchronised, three-dimensionally geo-located time-series of observed pollutants. \r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included for each flight, detailing any calibration constants and/or corrections applied to data alongside general information about the data and instruments. \r\n\r\nA full list of NetCDF variables can be found in “Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation”, A. Mynard et al, 2023. This paper also provides a technical introduction to the MOASA measurement platform, information on instrumentation, flight strategies and data, as well as example case studies comparing flight observations to the Met Office Air Quality in the Unified Model (AQUM) and the ground based Automated Urban and Rural Network. This paper should be referenced in any research/publications pertaining from this dataset.", "keywords": "aircraft, Met Office, clean air, nitrogen dioxide, NO2, ozone, O3, sulphur dioxide, SO2, PM2.5, aerosol", "publicationState": "citable", "dataPublishedTime": "2023-09-15T15:09:28", "doiPublishedTime": "2023-09-20T08:53:19", "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [], "member": [ { "ob_id": 40505, "uuid": "1e6a48ceb8de462392114433c9e79d9f", "short_code": "ob", "title": "MOASA flight M289: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M289 on 27 May 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40593, "uuid": "69d3588403e54a3a8fb3030a05346619", "short_code": "ob", "title": "MOASA flight M313: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M313 on 03 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40581, "uuid": "232e37b3e3b84d348c920f04edc16bd3", "short_code": "ob", "title": "MOASA flight M310: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M310 on 27 January 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40429, "uuid": "301eea0daed8410395198b2474aa7a77", "short_code": "ob", "title": "MOASA flight M264: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M264 on 20 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40497, "uuid": "fffaf9f00b8e4ef5aefed9b717c87a27", "short_code": "ob", "title": "MOASA flight M287: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M287 on 22 April 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40589, "uuid": "58467eab1666415eb3a263d474788050", "short_code": "ob", "title": "MOASA flight M312: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M312 on 02 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n \r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40573, "uuid": "37299fcbd0c24a67afee4712a874b07d", "short_code": "ob", "title": "MOASA flight M301: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M301 on 21 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a south coast survey flight pattern in warm conditions as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40501, "uuid": "21ce9ff5905347d282f5f099f98afb65", "short_code": "ob", "title": "MOASA flight M288: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M288 on 19 May 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK in a ground network survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40445, "uuid": "67c39c04f97d43d49e3c7a587cf584b6", "short_code": "ob", "title": "MOASA flight M269: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M269 on 10 September 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK, in a South coast survey and ships flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40557, "uuid": "109702a6eed144b784bf1a480a30f470", "short_code": "ob", "title": "MOASA flight M297: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M297 on 02 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40569, "uuid": "f1043cddd5974c0f9fa598c8546af209", "short_code": "ob", "title": "MOASA flight M300: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M300 on 20 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40513, "uuid": "bc6e847dacac499291a47615c87c1cb2", "short_code": "ob", "title": "MOASA flight M293: airborne observations from the Clean Air over Manchester, UK", "abstract": "Observations collected during flight M293 on 15 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40605, "uuid": "305e7cdb1c734c419ca3e77a670d5b28", "short_code": "ob", "title": "MOASA flight M317: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M317 on 11 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40405, "uuid": "d34388ce844740d9ad5b8b1aa4186fb6", "short_code": "ob", "title": "MOASA flight M253: airborne observations from the Clean Air project over the north east of the UK", "abstract": "Observations collected during flight M253 on 20 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the north east of the UK in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 39935, "uuid": "8795188227b141d4851b43c31f724b57", "short_code": "ob", "title": "MOASA flight M320: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M320 on 01 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40465, "uuid": "499078b3fca44780b1ed46746ab45fba", "short_code": "ob", "title": "MOASA flight M276: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M276 on 01 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40525, "uuid": "e07189e956d5478dbdec7d03e5a988c4", "short_code": "ob", "title": "MOASA flight M322: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M322 on 08 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40437, "uuid": "4a637f182162494b892699cb6f658c1a", "short_code": "ob", "title": "MOASA flight M266: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M266 on 06 February 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40449, "uuid": "4ad5f8572f104e71a51907d623953e0e", "short_code": "ob", "title": "MOASA flight M272: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M272 on 07 October 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK, in a Coastal transition flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40401, "uuid": "ac62a673c5be42fbaf81ed1f4186d3fc", "short_code": "ob", "title": "MOASA flight M252: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M252 on 05 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40549, "uuid": "8efd6b9e25984ba9bf9c322650fce615", "short_code": "ob", "title": "MOASA flight M295: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M295 on 23 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40473, "uuid": "835562400939439391a1da98fbc84fe2", "short_code": "ob", "title": "MOASA flight M279: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M279 on 08 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40537, "uuid": "a82e518d899a4b4781ac289b665c5d53", "short_code": "ob", "title": "MOASA flight M285: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M285 on 30 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UKin a Coastal transition flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40601, "uuid": "d624b92a893745c6b9394b8da5759b10", "short_code": "ob", "title": "MOASA flight M315: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M315 on 08 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40453, "uuid": "f69d4649c7fe49b29a8eef13ea8fec23", "short_code": "ob", "title": "MOASA flight M273: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M273 on 05 November 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40533, "uuid": "1bc7d305e9a44bc08fde728836405f46", "short_code": "ob", "title": "MOASA flight M278: airborne observations from the Clean Air project near Chilbolton, Hampshire, UK", "abstract": "Observations collected during flight M278 on 17 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) from a flight over Chilbolton, Hampshire, UK with stacked level runs as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 39918, "uuid": "93595f4627a1472595c1ebd740af669c", "short_code": "ob", "title": "MOASA flight M324: airborne observations from the Clean Air project over London, UK", "abstract": "In-situ airborne observations collected during flight M324 on 14 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 39914, "uuid": "d5bb9cf66df8410e9e5e5ac889688720", "short_code": "ob", "title": "MOASA flight M325: airborne observations from the Clean Air project over London, UK", "abstract": "In-situ airborne observations collected during flight M325 on 24 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40493, "uuid": "f31e66e5052a4aaaad04ed29fee03b00", "short_code": "ob", "title": "MOASA flight M286: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M286 on 31 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40433, "uuid": "6bcac7e3b76f464ca930af5af40425cd", "short_code": "ob", "title": "MOASA flight M265: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M265 on 21 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a South coast survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40565, "uuid": "7b4137e682724eeebe50c6fc7d505d07", "short_code": "ob", "title": "MOASA flight M299: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M299 on 09 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40413, "uuid": "2bbcb7b923bc4e49b33f7814e27d2224", "short_code": "ob", "title": "MOASA flight M257: airborne observations from the Clean Air project over Port Talbot, UK", "abstract": "Observations collected during flight M257 on 23 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in situ atmospheric composition measurements over Port Talbot, UK in a high density spatial mapping flight pattern.\r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40477, "uuid": "c07c3920ab7e474e886fd24b91030404", "short_code": "ob", "title": "MOASA flight M280: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M280 on 09 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol)over the south coast of the UK, in a Coastal Transition flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40461, "uuid": "4f04423b7465484fa57f7100879caeb3", "short_code": "ob", "title": "MOASA flight M275: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M275 on 26 November 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40517, "uuid": "db20623d4fe44d9ea1f9a891a8513576", "short_code": "ob", "title": "MOASA flight M294: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M294 on 16 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40441, "uuid": "05d80bfcf6bd46baacd0b27073c0b944", "short_code": "ob", "title": "MOASA flight M267: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M267 on 16 March 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40545, "uuid": "f1c9db94001048a4915420658d1b2fc5", "short_code": "ob", "title": "MOASA flight M292: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M292 on 14 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40609, "uuid": "6db598f645284d369716952625271fe1", "short_code": "ob", "title": "MOASA flight M319: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M319 on 25 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period." }, { "ob_id": 40417, "uuid": "6bc38ceb9178415c9826bc8ad7c4d550", "short_code": "ob", "title": "MOASA flight M258: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M258 on 30 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a South coast survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40409, "uuid": "44c589f14c5749de8b283f73707f9b79", "short_code": "ob", "title": "MOASA flight M256: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M256 on 22 October 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40485, "uuid": "e09b78180d184ea8b1304115c01796ec", "short_code": "ob", "title": "MOASA flight M282: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M282 on 19 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40421, "uuid": "4a9ed1f4b93a4d52b6a14432c49d3ce2", "short_code": "ob", "title": "MOASA flight M262: airborne observations from the Clean Air project over the north east of the UK", "abstract": "Observations collected during flight M262 on 10 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the north east of the UK in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40521, "uuid": "577d48297fc9413f86f9e530174c75d6", "short_code": "ob", "title": "MOASA flight M316: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M316 on 10 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 39931, "uuid": "d73f02a3a0934b45bd332f0851953ce7", "short_code": "ob", "title": "MOASA flight M323: airborne observations from the Clean Air project over London, UK", "abstract": "In-situ airborne observations collected during flight M323 on 10 March 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40541, "uuid": "af06cfa8c73b415abf09dcc2eeaa664e", "short_code": "ob", "title": "MOASA flight M291: airborne observations from the Clean Air project over Birmingham", "abstract": "Observations collected during flight M291 on 10 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 39909, "uuid": "899d7de10af547f4a1b19c3e70882e5a", "short_code": "ob", "title": "MOASA flight M326: airborne observations from the Clean Air project over London, UK", "abstract": "In-situ airborne observations collected during flight M326 on 11 April 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40397, "uuid": "60479dc3e8e3439dbc55a08fd8ebb90b", "short_code": "ob", "title": "MOASA flight M251: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M251 on 03 September 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40553, "uuid": "2046e062500f4e5b97fa6929fc2b8f09", "short_code": "ob", "title": "MOASA flight M296: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M296 on 01 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40425, "uuid": "af8181dcc3084098a612e2cb84f0412d", "short_code": "ob", "title": "MOASA flight M263: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M263 on 15 January 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40529, "uuid": "8abc4eefb7bd4cb4ae6b2f3a37351386", "short_code": "ob", "title": "MOASA flight M270: airborne observations from the Clean Air project over the north east of the UK", "abstract": "Observations collected during flight M270 on 15 September 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) collected over the north east of the UK in a ground network survey flight pattern, including stacked level runs north of Cambridge during warm temperatures, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40393, "uuid": "1ba1073e05da4b1cae3ec14b6bd84782", "short_code": "ob", "title": "MOASA flight M247: airborne observations from the Clean Air project over the south west of the UK", "abstract": "Observations collected during flight M247 on 31 July 2019 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south west of the UK, in a ground network survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40469, "uuid": "d0878e5bf555430ca33701fcee277998", "short_code": "ob", "title": "MOASA flight M277: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M277 on 09 December 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40489, "uuid": "646625bc262e45d9834615c08c6839b2", "short_code": "ob", "title": "MOASA flight M284: airborne observations from the Clean Air project over Port Talbot, UK", "abstract": "Observations collected during flight M284 on 24 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK, in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40577, "uuid": "2e5eecdde87a422aad7cb62f1d87c5b6", "short_code": "ob", "title": "MOASA flight M302: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M302 on 22 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40457, "uuid": "653e3ddb75b74e15ae8f4795e2725d41", "short_code": "ob", "title": "MOASA flight M274: airborne observations from the Clean Air project over the south coast of the UK", "abstract": "Observations collected during flight M274 on 06 November 2020 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over the south coast of the UK in a South coast survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40585, "uuid": "c88f3f2b82964acb889c8a54e8c6676a", "short_code": "ob", "title": "MOASA flight M311: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M311 on 28 January 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40561, "uuid": "b25eac4e91c64fbca635f513f1f94fb5", "short_code": "ob", "title": "MOASA flight M298: airborne observations from the Clean Air project over Manchester, UK", "abstract": "Observations collected during flight M298 on 08 July 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Manchester, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40597, "uuid": "04019f530812432e9bb29edc7f2b486f", "short_code": "ob", "title": "MOASA flight M314: airborne observations from the Clean Air project over London, UK", "abstract": "Observations collected during flight M314 on 04 February 2022 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over London, UK in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40481, "uuid": "2aa31428dda845c1b76ddb09eb5e1964", "short_code": "ob", "title": "MOASA flight M281: airborne observations from the Clean Air project over Port Talbot, UK", "abstract": "Observations collected during flight M281 on 17 March 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Port Talbot, UK, in a high density spatial mapping flight pattern, as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." }, { "ob_id": 40509, "uuid": "2b7f7bd8bed54b1d9bb4c970b32453b4", "short_code": "ob", "title": "MOASA flight M290: airborne observations from the Clean Air project over Birmingham, UK", "abstract": "Observations collected during flight M290 on 09 June 2021 by the Clean Air instrument suite on board the Met Office Atmospheric Survey Aircraft (MOASA) for the MOASA Clean Air project. \r\n\r\nThis dataset contains in meteorological and situ atmospheric composition measurements (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) over Birmingham, UK, in a city survey flight pattern as part of the Strategic Priorities Fund (SPF) Clean Air Programme Intense Observational Period. Quicklook plots are also included.\r\n\r\nFull flight track and other MOASA flights can be seen via the CEDA Flight Finder tool linked to on this record." } ], "identifier_set": [ 12687 ], "responsiblepartyinfo_set": [ 192990, 192991, 192992, 192993, 192994, 192995, 192996, 192997, 198239, 198215 ], "onlineresource_set": [ 84955 ], "project_set": [ 39906 ] }, { "ob_id": 39704, "uuid": "201dac63fd1046e39299801dbf47dd3f", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "The CNRM-CM 6.1 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at Météo France.\r\n\r\nData produced using the Centre National de Recherches Météorologiques fully coupled atmosphere‐ocean general circulation model CNRM-CM 6.1. The model consists of the ARPEGE-Climat 6.3 atmospheric model, the NEMO 3.6 ocean model, the GELATO 6 sea ice model and the ISBA-CTRIP land surface model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213,\r\nhttps://doi.org/10.1029/2019MS001683, 2019", "keywords": "CNRM-CM 6.1, Météo France, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:48:48", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 39698, "uuid": "8e60e41124c644688cd7e8650114dc10", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019" }, { "ob_id": 39702, "uuid": "8b1801552b7e40b5acb3bd12d0b4203a", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged-full' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019" }, { "ob_id": 39694, "uuid": "27e04957bfa24c6585c388f2cfe1f844", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213,\r\nhttps://doi.org/10.1029/2019MS001683, 2019" }, { "ob_id": 39697, "uuid": "bbe6dfaa0c9a4dfb8a0e7f131cc4d0b4", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 193340, 193341, 193342, 193343, 193344, 193345, 193346, 193347 ], "onlineresource_set": [ 82989, 82990, 82991 ], "project_set": [ 37088 ] }, { "ob_id": 39714, "uuid": "0c05980e9c2e4809887ff2c2dcf99851", "short_code": "coll", "title": "EQUIPT4RISK - Evaluation, Quantification and Identification of Pathways and Targets for the assessment of Shale Gas RISK", "abstract": "This dataset collection contains data from the EQUIPT4RISK project which aims to identify, characterise and parameterise the multiple direct and indirect pathways within the shallow subsurface and the atmosphere (and across interfaces), which link sources of contamination and hazards associated with shale gas (SG) operations to human and sensitive environmental receptors, and surface infrastructure.\r\n\r\nThis collection contains model simulations of the concentration of pollutants over the UK with and without additional emissions associated with the new hydrocarbon sources.", "keywords": "EQUIPT4Risk, WP1, contaminants", "publicationState": "", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39710, "uuid": "f154fc6376da4d188a5f460816f064d0", "short_code": "ob", "title": "EQUIPT4Risk: GEOS-Chem Chemical Transport Model Output", "abstract": "EQUIPT4Risk GEOS-Chem model simulations as part of EQUIPT4Risk WP1 (Model simulations of the concentration of pollutants over the UK with and without additional emissions associated with the new hydrocarbon sources). A nested-grid version of the GEOS-Chem chemistry transport model (v12.6.1) at 0.5°x0.625° horizontal resolution over the domain 15W-5E, 45N-65N, with additional emissions at two Shale extraction sites, was used to evaluate the impact of additional emissions of nitrogen oxides (NOx) on surface air quality over the UK for 2019. \r\n\r\nThis dataset includes 6 files corresponding to hourly GEOS-Chem model output of surface concentrations for either gaseous (“SpeciesConc”,) or aerosol (“AerosolMass”) species for the period 2019-01-01T00:00 to 2020-01-01T00:00.\r\n\r\nOutput from three model runs are provided:\r\n (1) “baseline”: standard model output, replacing default CEDS anthropogenic emissions over Europe with EMEP 2017 emissions \r\n(2) “PNR_fracking”: the same emissions as (1), with additional NOx (as NO) emissions of 29 tonnes per year at the Preston New Road (PNR, (53.787282,-2.951474)) fracking site. \r\n(3) “BGR_fracking”: the same emissions as (1), with additional NOx (as NO) emissions of 29 tonnes per year at the British Geological Survey Kirby Misperton (BGS, (54.204185,0.892848)) fracking site." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 193432, 193433, 193434, 193435, 193436, 193437 ], "onlineresource_set": [], "project_set": [ 39712 ] }, { "ob_id": 39941, "uuid": "34038fecaaca472b9281184718841acf", "short_code": "coll", "title": "NERC Field Spectroscopy Facility (FSF)", "abstract": "The NERC Field Spectroscopy Facility maintains and provides a pool of state-of-the-art spectroscopy instruments for use by the UK research community. This collection consists of datasets produced by various project teams based on measurements collected by these instruments.\r\nThe FSF is located in the GeoSciences department at the University of Edinburgh and overseen by NERC's National Centre for Earth Observation.", "keywords": "NERC, FSF", "publicationState": "published", "dataPublishedTime": "2023-04-24T15:53:08", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 39827, "uuid": "2485214239134768820ffb50fb5513bc", "short_code": "ob", "title": "HyperDrone Flight 20200929 - hyperspectral in situ radiometry and hyperspectral imagery at different altitudes for plastics detection", "abstract": "Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. \r\nThese hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. \r\nThis dataset was collected on 29th September 2020 at Tyninghame beach, East Lothian, Scotland using a range of different plastic targets." }, { "ob_id": 39819, "uuid": "e0f6a223220d463ea7a5d2a7520000cf", "short_code": "ob", "title": "HyperDrone Flight 20210722 - hyperspectral in situ radiometry and hyperspectral imagery at different altitudes for plastics detection", "abstract": "Airborne remote-sensed hyperspectral in-situ radiometry data and hyperspectral imagery collected by the NERC Field Spectroscopy Facility (FSF) Headwall Co-aligned VNIR and SWIR imager (450-2500 nm) with LiDAR instruments mounted on a drone platform. \r\nThese hyperspectral data collected over a sandy and rocky shore have associated uncertainty estimations that will be used to develop of radiometric proxies for plastics detection and assess future mission requirements. This dataset was collected on 22nd July 2021 from Oban airport's shore using a range of different plastic targets" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 194372, 194373, 194374, 194375, 194376, 194377, 194379, 194378 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 6.0, 4km resolution data", "abstract": "This collection contains version 6.0 datasets at 4km resolution 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 6.0 of the 4km resolution data products held in the CEDA archive covering the period 1997-2022. Links to the individual datasets that make up this collection are given in the record below.", "keywords": "ESA, Ocean Colour, CCI, ECV", "publicationState": "citable", "dataPublishedTime": "2023-08-01T09:30:05", "doiPublishedTime": "2023-08-08T16:21:49", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "member": [ { "ob_id": 39971, "uuid": "690fdf8f229c4d04a2aa68de67beb733", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products at 4km resolution, Version 6.0", "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 - 2022.\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." }, { "ob_id": 39967, "uuid": "3bdb21a4cd004e5f8cc148fea5f1d4e3", "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 at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. It is computed from the Ocean Colour CCI Version 6.0 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)." }, { "ob_id": 39961, "uuid": "8ecae26f390b4938b67a97cbce3ecd8b", "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 at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. It is computed from the Ocean Colour CCI Version 6.0 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)." }, { "ob_id": 39965, "uuid": "90682bac7d0e4e418085f30eba43dfba", "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 at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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.)" }, { "ob_id": 39949, "uuid": "8b9d461f245b4efd8ea9fa080366e3b1", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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)." }, { "ob_id": 39959, "uuid": "024292dcda5d42ceb326850f89f8b40d", "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 at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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.)" }, { "ob_id": 39969, "uuid": "86d360431f3b4184b89cdd1cd707bb33", "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) at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. \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.)" }, { "ob_id": 39942, "uuid": "a0782135bcd04d77a1dae4aa71fba47c", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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)." }, { "ob_id": 39947, "uuid": "474ac06235e54e6cb0ec6eed635e1213", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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.)" }, { "ob_id": 39963, "uuid": "b0ec72a28b6a4829a33ed9adc215d5bc", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection at 4km resolution, Version 6.0", "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 6.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day, monthly and yearly composites) covering the period 1997 - 2022. 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.)" }, { "ob_id": 39945, "uuid": "0875b4675f1e46ebadb526e0b95505c5", "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) at 4km resolution, Version 6.0", "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 6.0 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, monthly and yearly composites) covering the period 1997 - 2022. 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.)" } ], "identifier_set": [ 12673 ], "responsiblepartyinfo_set": [ 194418, 194419, 194420, 194421, 194414, 194415, 194416, 194417, 194422, 194423, 194424, 194425, 194426, 194427, 194428, 194429, 194430, 194431, 194432, 194433, 194434, 194435, 194436, 194437, 194438, 194439, 194440, 194441, 194442, 194443, 194444, 194445, 194446, 194447 ], "onlineresource_set": [ 83330, 83331, 83329, 88099, 92704, 94671 ], "project_set": [ 13365 ] }, { "ob_id": 40010, "uuid": "aedab4ebf3ac425ca06d4f308c5242a6", "short_code": "coll", "title": "Regional summaries from Arctic high-resolution sea ice-ocean forced modelling hindcasts (2008-2021) and forced modelling projections (2000-2050) as part of the PRE-MELT project.", "abstract": "Two sea ice-ocean forced modelling datasets (hindcasts and projections) were produced to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic, from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present and future climates and how those are linked to the changes in the Arctic ecosystems. The model outputs span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present (2008-2021: hindcasts) and future climate (2000-2050: projections). \r\n\r\nThe forced modelling hindcasts were generated using the Global Ocean and Sea Ice GO8p7, developed under the Joint Marine Modelling Programme (JMMP), a collaboration between NOC, BAS and the UK Met Office. GO8p7 is based on NEMO v4.0 and the SI3 sea ice model and includes a package of modifications, including a scale-dependent Gent & McWilliams parameterisation, partial slip lateral boundary conditions south of 50°S and 4th-order horizontal tracer advection. The present simulation done under the ACSIS NCLTS-M programme was integrated with the Japanese 55-year atmospheric analysis JRA55 (v1.3-do) from 1958 to 2021. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling. \r\n\r\nThe forced modelling projections were generated using the NEMOv4.2-SI3 common NOC-UK MetOffice configuration (G8.7) coupled to the MEDUSA ecosystem model. The forcing fields were from the UK ESM1.1 model SSP370 integrations. Monthly averages of the key sea-ice, ocean and biogeochemical fields for the pan-Arctic and Greenland regions for the end of each of the decades 2020, 2030, 2040, and 2050 were created and combined into 4-D files for easy data handling. \r\n\r\nThe sea ice model output for both datasets were validated against the AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. These data were produced by National Oceanography Centre (NOC) scientists under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). \r\n\r\nAdditional funding also came from NERC projects APEAR (grant reference NE/R012865/1), ARISE (grant reference NE/P006000/1), and Arctic PrIZE (grant reference NE/P006078/1), funded under the NERC/BMBF Changing Arctic Ocean Programme, from NERC NCLTS-M programmes ESM (grant reference NE/N018036/1) and ACSIS (grant reference NE/N018044/ 1). and from NCLTS-S programme CLASS (grant reference NE/R015953/1), from the European Commission grant CRESCENDO (grant no. 641816) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820989 (Project COMFORT—Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).", "keywords": "Arctic Ocean, sea-ice, JRA55 v1.3-do ,UK ESM1.1, MEDUSA, GO8p7, Fram Strait, CryoSat-2, SMOS, ARCRegi", "publicationState": "citable", "dataPublishedTime": "2023-11-20T13:36:15", "doiPublishedTime": "2023-11-20T13:36:15", "dontHarvestFromProjects": true, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 37662, "uuid": "7668ea6b334841b0b7a06c0545664858", "short_code": "ob", "title": "Regional summaries from Arctic high-resolution sea ice-ocean modelling hindcasts (2008-2021)", "abstract": "Regional summaries from the high-resolution sea ice-ocean modelling ERA5JRA55-forced hindcasts (Japanese 55-year atmospheric analysis) were generated to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic and from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present climate. The model outputs span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present climate period from 2008-2021 during which the largest sea ice changes have been observed.\r\n\r\nThe model configuration is Global Ocean and Sea Ice GO8p7, developed under the Joint Marine Modelling Programme (JMMP), a collaborative project between the National Oceanography Centre (NOC), British Antarctic Survey (BAS) and the Met Office. GO8p7 is based on NEMO v4.0 and the SI3 sea ice model and includes a package of modifications intending to address errors in the Southern Ocean, including a scale-dependent Gent & McWilliams parameterisation, partial slip lateral boundary conditions south of 50°S. and 4th-order horizontal tracer advection (Madec et al. 2019).\r\n\r\nThe present simulation was integrated with Japanese Reanalysis JRA55 v1.3-do from 1958 to 2021 (Tsujino et al., 2018). The model output has been validated against AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling.\r\n\r\nThe model output has been validated against AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling. \r\n\r\nThe model datasets were produced by National Oceanography Centre (NOC) scientists Dr Yevgeny Aksenov and Dr Stefanie Rynders, using the global model runs carried out by Dr Alex Megann. Dr Andrew Coward also assisted with data handling. The data were produced under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). The global model integrations were completed thanks to the funding from the National Environmental Research Council (NERC) national capability grant for the North Atlantic Climate System: Integrated study (ACSIS) NCLTS-M program (grant NE/N018044/1) (Megann et al., 2022a,b). Additional funding also came from NERC projects APEAR (grant reference NE/R012865/1) and CLASS (grant reference NE/R015953/1)." }, { "ob_id": 37668, "uuid": "233fbf6df84547dda891d316da93885b", "short_code": "ob", "title": "Regional summaries from Arctic high-resolution sea ice-ocean forced modelling projections (2000-2050)", "abstract": "Regional summaries from the high-resolution sea ice-ocean-biogeochemical modelling UKESM1.1-forced projections were generated to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic and from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the future climate up to the 2050s and subsequent impacts on the ocean biogeochemistry. The model datasets span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present and future climate from 2000-2050. The model used was a NEMOv4.2-SI3 common NOC-UK MetOffice configuration (G8.7) coupled to the MEDUSA ecosystem model. The forcing fields were from the UK ESM1.1 model SSP370 integrations.\r\n\r\nThe sea ice model output has been validated against the AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. Monthly averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions for the end of each of the decades 2020, 2030, 2040, and 2050 were created and combined into 4-D files for easy data handling.\r\n\r\nThe model datasets were produced by National Oceanography Centre (NOC) scientists Dr Yevgeny Aksenov and Dr Stefanie Rynders, using the global model runs carried out by Dr Andrew Coward. Dr Andrew Yool advised on the runs and assisted with data handling, and Dr Stephen Kelly also assisted with data extraction. The data were produced under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). Additional funding also came from NERC projects APEAR (grant reference NE/R012865/1), ARISE (grant reference NE/P006000/1), and Arctic PrIZE (grant reference NE/P006078/1), funded under the NERC/BMBF Changing Arctic Ocean Programme, from NERC NCLTS-M programme ESM (grant reference NE/N018036/1) and NCLTS-S programme CLASS (grant reference NE/R015953/1), from the European Commission grant CRESCENDO (grant no. 641816) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820989 (Project COMFORT—Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points)." } ], "identifier_set": [ 12738 ], "responsiblepartyinfo_set": [ 194968, 194959, 194967, 194956, 194957, 194961, 194958, 194960, 194970, 194971, 194972, 194973, 194974 ], "onlineresource_set": [], "project_set": [ 37664 ] }, { "ob_id": 40017, "uuid": "832677618370457f9e0a85da021c1312", "short_code": "coll", "title": "Physical Marine Climate Projections for the North West European Shelf Seas based on the UKCP18 Perturbed Parameter Ensemble.", "abstract": "A set of ensemble climate projections for the physical marine environment of the Northwest European Shelf Seas (NWS), with a consistent present day control simulation. This data set updates the Maritime INdustries Environmental Risk and Vulnerability Assessment (MINERVA) projections, and is consistent with global climate model simulations performed as part of the United Kingdom’s Climate Projections of 2018 (UKCP18). \r\n\r\nThe UKCP18 Perturbed Parameter Ensemble (PPE) of the Met Office Global Coupled model version 3.05 (HadGEM3-GC3.05) has been downscaled with a North West European Shelf seas climate configuration of the Nucleus for European Modelling of the Ocean (NEMO) Coastal Ocean model. The UKCP18 HadGEM3-GC3.05 PPE was designed to span the range of uncertainty associated with model parameter uncertainty in the atmosphere of the driving global climate model. Each of the 12 PPE ensemble members have been downscaled as transient simulation for the period 1990-2098 under the RCP8.5 climate change scenario. We refer to the downscaled ensemble as the North West Shelf Perturbed Parameter Ensemble (NWSPPE). \r\n\r\nThe NEMO configuration for NWSPPE has a horizontal resolution of 7 km with 51 vertical levels using terrain-following s-coordinates. This data collection includes 2D fields of monthly mean output over the full simulation period for every ensemble member, as well as pre-processed climatologies and ensemble statistics (for an early-century (2000-2019) and late-century (2079-2098) period). Regional mean time series are also included for each ensemble member at monthly time resolution.\r\n\r\nA 200-year “present day” control simulation (for the year 2000) has also been downscaled with the shelf seas climate version of the NEMO Coastal Ocean model. HadGEM3 GC3.05 was run for 200 years with the atmospheric constituents fixed to the values of the year 2000. The present-day control simulation provides an estimate of the internal variability in the climate system that can arise in the absence of time-varying external forcings. Details of this simulation, which formed part of the core UKCP18 project, are available in Tinker et al. (2020).\r\n\r\nThese projections represent an update to the MINERVA projections, designed to provide a new and complementary evidence base to inform the fourth UK Climate Change Risk Assessment (CCRA4) and other climate change studies. While they use updated modelling systems and techniques, and represent a much larger dataset, the projections are structurally the same. These projections include Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic currents (their U and V components (DMU, DMV), as well as their magnitude, DMUV).", "keywords": "UKCP, UKCP18, Marine Climate, Uncertainty, Climate Downscaling, NW European Shelf Seas, Shelf Seas, Temperature, SST, Salinity, Stratification, North Sea, Celtic Sea, Irish Sea, English Channel, regional, climate, UK, simulations, projections", "publicationState": "published", "dataPublishedTime": "2023-06-01T13:25:31", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [], "member": [ { "ob_id": 40015, "uuid": "66e39885a60e4b6386752b1a295f268a", "short_code": "ob", "title": "Physical Marine Climate Projections for the North West European Shelf Seas: PDCtrl", "abstract": "A 200-year present-day control simulation (for the year 2000) has been downscaled with the shelf seas climate version of the Nucleus for European Modelling of the Ocean (NEMO) Coastal Ocean model (CO6), and we refer to the downscaled present-day control simulation as PDCtrl. The Met Office Global Coupled model version 3.05 (HadGEM3-GC3.05) was run for 200 years with the atmospheric constituents fixed to the values of the year 2000. The present-day control simulation provides an estimate of the unforced internal variability in the climate system that can arise in the absence of time-varying external forcings. The PDCtrl simulation was performed as part of the United Kingdom’s Climate Projections of 2018 (UKCP18) with full details available in Tinker et al. (2020). CO6 was run at a 7 km resolution, with 51 vertical levels using s-coordinates. This data collection includes 2D fields of monthly mean output for the full period, as well as regional mean time series for the full 200 year period.\r\n\r\nNEMO has three model grids, the T, U and V grids, and we output variables in three files, respecting their native model grid. In practice, all our variables are on the T grid, apart from the Eastward and Northward components of the depth mean velocities (DMU, DMV), which are in the U and V grid files respectively. The T grid files have Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic current magnitude interpolated onto the T grid (DMUV)." }, { "ob_id": 40013, "uuid": "edf66239c70c426e9e9f19da1ac8ba87", "short_code": "ob", "title": "Physical Marine Climate Projections for the North West European Shelf Seas: NWSPPE", "abstract": "A Perturbed Physics Ensemble (PPE) of the Met Office Global Coupled model version 3.05 (HadGEM3-GC3.05) has been downscaled with the shelf seas climate version of the Nucleus for European Modelling of the Ocean (NEMO) Coastal Ocean model (CO9). Each of the 12 ensemble members have been downscaled as transient simulations (from 1990-2098) under RCP8.5 scenario, and we refer to the resultant downscaled PPE as the North West Shelf Perturbed Parameter Ensemble (NWSPPE). The HadGEM3-GC3.05 PPE was designed to span the range of uncertainty associated with model parameter uncertainty in the atmosphere of the driving global climate model. CO9 was run at a 7 km resolution, with 51 vertical levels using s-coordinates. This data collection includes 2D fields of monthly mean output for the full period, for each ensemble member, as well as pre-processed climatologies. Regional mean time series are also included for each ensemble member.\r\n\r\nNEMO has three model grids, the T, U and V grids, and we output variables in three files, respecting their native model grid. In practice, all our variables are on the T grid, apart from the Eastward and Northward components of the depth mean velocities (DMU, DMV), which are in the U and V grid files respectively. The T grid files have Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic current magnitude interpolated onto the T grid (DMUV)." }, { "ob_id": 40016, "uuid": "bd375134bd8c4990a1e9eb6d199cc723", "short_code": "ob", "title": "Physical Marine Climate Projections for the North West European Shelf Seas: EnsStats", "abstract": "Ensemble statistics are calculated from the North West Shelf Perturbed Parameter Ensemble (NWSPPE) climatologies. The NWSPPE (https://catalogue.ceda.ac.uk/uuid/edf66239c70c426e9e9f19da1ac8ba87) provides climatological mean and climatological standard deviations for an early-century period (2000-2019) and a late-century period (2079-2098) for each of the 12 NWSPPE ensemble members, for the annual means, and for each month and season of the year. These have been processed into ensemble statistics, for each period (2000-2019, 2079-2098, and the difference 2079-2098minus2000-2019), and for each season and month and for annual means. For the early-century and late-century climatology periods, these ensemble statistics include the ensemble mean, ensemble variance, ensemble standard deviation and interannual variance. These describe the behaviour of the ensemble, including any present day ensemble spread. For the statistics of the difference between the periods (2079-2098minus2000-2019), we simply provide the difference between the ensemble statistics calculated in the near present and end of century period. To allow the user to simply use these data to provide projections, with the associated uncertainty, we also provide two additional statistics, the projected ensemble mean (projensmean) and the projected ensemble standard deviation (projensstd). We remove the early-century climatological mean from the late-century climatological mean, for each ensemble member of the NWEPPE to give an anomaly ensemble. We then calculate the resulting ensemble mean (projensmean) and its standard deviation (projensstd).\r\n\r\nNucleus for European Modelling of the Ocean (NEMO) has three model grids, the T, U and V grids, and we output variables in three files, respecting their native model grid. In practice, all our variables are on the T grid, apart from the Eastward and Northward components of the depth mean velocities (DMU, DMV), which are in the U and V grid files respectively. The T grid files have Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic current magnitude interpolated onto the T grid (DMUV)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 195009, 195008, 195007, 195002, 195003, 195004, 195005, 195006 ], "onlineresource_set": [ 83415, 83416 ], "project_set": [ 40121 ] }, { "ob_id": 40060, "uuid": "2c6f3201f01d4346a97ff8f08a8c15c9", "short_code": "coll", "title": "LiDAR (Light Detection And Ranging) images and model output from cliffs at Happisburgh, Norfolk, UK, 2019, from BLUE-coast and ScanLAB projects.", "abstract": "A colour LiDAR (Light Detection And Ranging) dataset was obtained at the cliffs at Happisburgh, Norfolk, UK, over a period of 9 months (April 6, 2019 to December 23, 2019). The scans were taken daily for 90% of the study period using a FARO S350 TLS (Terrestrial LiDAR Scanner). Scans were carried out from two locations consecutively, positioned at around 40 m from the cliffs. The full scans are also split into smaller subsets: \"slices\", 1 m wide bands oriented perpendicular to the shoreline, and \"grids\", smaller areas of the beach, to assist analysis. The numerical model SWAN (Simulated Waves Nearshore) (v41.31a), run in non-stationary mode, was used to simulate hourly sea states at the study site to aid in the context of environmental conditions. Wind parameters from the ERA5 reanalysis and bathymetry from the OceanWise 1 arc second digital elevation model (DEM) were used to force the SWAN model, and obtained wave parameters in 4x6 km rectangular grid around the scanning site, with a 10m interval, and a 26x26 km square grid encompassing the smaller grid, with a 100 m interval. The LiDAR scans were also projected into both colour and intensity images, viewing the shoreline from above. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019).", "keywords": "coast, cliff, beach, shore, platform, Happisburgh, LiDAR, orthophotos, meteorology, oceanography", "publicationState": "citable", "dataPublishedTime": "2023-08-11T08:58:21", "doiPublishedTime": "2024-03-04T16:57:35", "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 41499, "uuid": "43eeb6248d7f435da2300edb34cc4bea", "short_code": "ob", "title": "Daily Colour and Intensity Georeferenced Orthophotos of the Cliff and Beach at Happisburgh, Norfolk, UK (April-December 2019) version 2.", "abstract": "This dataset contains georeferenced orthophotos collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). The dataset contains 190 colour images and 190 intensity images in GEOTIFF format. The orthophotos are produced by projection of LiDAR (Light Detection And Ranging) scans of the coastal stretch. There are 190 images out of a possible 262 days, since only days when scans were performed from two locations are included, which did not happen every day due to weather conditions. The orthophotos are point-cloud renders of the scan data created using ScanLAB's proprietary point-cloud rendering engine. The colour orthophotos are rendered using the colour information projected onto the scan during post-process colourisation. The intensity orthophotos are rendered using the intensity data for each scan. The orthophotos are rendered using an orthographic virtual camera which frames the useful extents of the scan data and is orientated such that the rendered orthophoto is \"north-up\". The orthophotos are georeferenced using pythons GDAL library and ground-truth GPS measurements taken at the two TLS positions onsite. The procedure for this follows; 1) the ground-truth GPS positions were converted from OSGB 1936 / British National Grid to Latitude and Longitude., 2) The pixel resolution of the orthophotos was calculated from the pixel position of the two TLS in the orthophotos and the two ground truth GPS positions., 3) The GPS position of the top left pixel of the orthophoto was calculated using pixel position of a TLS and the pixel resolution., 4) A python script using the GDAL library applied the GPS metadata to the orthophoto and saved it in GEOTIFF format. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019). The files were re-submitted and this DOI represents the second version of the data." }, { "ob_id": 41529, "uuid": "44a0f04f9b37423e8534cc96a8cbe990", "short_code": "ob", "title": "Daily Transects and Areas from Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (April-December 2019).", "abstract": "This dataset contains 236 transects and areas point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). Included are subsets of these point-clouds, named transects and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. The shapefiles of the transects and areas are also included for a more complete description. ScanLAB Projects Ltd were responsible for the collection of the data, along with the British Geological Survey (BGS), funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project)." }, { "ob_id": 40039, "uuid": "5768b4e7462f4facbcf447c8cd3929b9", "short_code": "ob", "title": "Daily Colour and Intensity Orthophotos of the Cliff and Beach at Happisburgh, Norfolk, UK (April-December 2019).", "abstract": "This dataset contains orthophotos collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). The dataset contains 190 colour images and 190 intensity images in .png format. The orthophotos are produced by projection of LiDAR (Light Detection And Ranging) scans of the coastal stretch. There are 190 images out of a possible 262 days, since only days when scans were performed from two locations are included, which didn't happen every day due to weather conditions. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. ScanLAB Projects Ltd and the British Geological Survey (BGS) were responsible for the collection of the data, funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project)." }, { "ob_id": 40331, "uuid": "d3018891eac34460a7723811a2b69580", "short_code": "ob", "title": "Daily Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (April-September 2019)", "abstract": "This dataset contains 169 point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 6 months (April 6, 2019 to September 30, 2019). Also included are subsets of these point-clouds, named slices and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. This data was collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. ScanLAB Projects Ltd were responsible for the collection of the data under the United Kingdom Research and Innovation (UKRI) Innovate UK funded project “Multiscale 3D Scanning with Framerate for TV and Immersive Applications”. The data are restricted to non-commercial use." }, { "ob_id": 40044, "uuid": "b8cf940850164ebeb4cba343384f88b8", "short_code": "ob", "title": "Daily Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (October-December 2019)", "abstract": "This dataset contains 67 point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 3 months (October 2, 2019 to December 23, 2019). Also included are subsets of these point-clouds, named slices and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. ScanLAB Projects Ltd were responsible for the collection of the data, along with the British Geological Survey (BGS), funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). This was a continuation of an Innovate UK project undertaken by ScanLAB Projects Ltd." }, { "ob_id": 40026, "uuid": "14dd5580eab9410fb3696340711b1d67", "short_code": "ob", "title": "Modelled Nearshore Wave Conditions, Happisburgh, UK (March to December 2019).", "abstract": "This dataset contains outputs from the SWAN (Simulated Waves Nearshore) model, which propagates wave conditions to the nearshore. The outputs are compressed into netcdf files, and contain time series of hourly sea states at the study site including wave height, direction, energy dissipation, and peak period. The latitude and longitude of the south-west grid corner is latitude 52.772629, longitude 1.344987. The series are given hourly, from (March 23, 2019-December 31, 2019) inclusive. These data are validated against an offshore buoy. The full year’s series is split into smaller time periods, numbered from 8 to 25. The data are given on a 26 km x 26 km grid, the coarse grid has a resolution of 0.1 km (matrix size 261x261), and the nested grid has a resolution of 10 m (matrix size 601x401). The hourly times corresponding to each variable is contained in an accompanying .csv file. The SWAN model was forced with bathymetry from the OceanWise 1 Arc Second Digital Elevation Model, and climate conditions from the ERA5 dataset. The data was collected to provide corresponding wave conditions to the LiDAR (Light Detection And Ranging) scans, to help determine the relationship between the wave conditions and the behaviour of the foreshore. The British Geological Survey (BGS) and Nottingham University were responsible for processing the model data, funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project) and NERC’s ENVISION Doctoral Training Programme (NE/S007423/1)." } ], "identifier_set": [ 12842 ], "responsiblepartyinfo_set": [ 197676, 196853, 196646, 195205, 195206, 195209, 195210, 195207, 195208, 196647, 197677, 197678, 197679, 197680, 197681, 197682, 197683 ], "onlineresource_set": [], "project_set": [ 40028, 40348 ] }, { "ob_id": 40086, "uuid": "943749c71fe9467fbcaeb40310b35049", "short_code": "coll", "title": "ATSR-2 Multimission land and sea surface data, version 3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR2 Multimission land and sea surface data. These data result from the 3rd reprocessing second pass and are tagged v3.0.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "keywords": "ATSR-2, AATSR-multimission, temperature, reflectance, satellite", "publicationState": "published", "dataPublishedTime": "2023-10-02T08:40:28", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 99 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1142, "name": "NDGO0005" } ], "member": [ { "ob_id": 40152, "uuid": "86162ca42a6a4ebc8779bcddc817a7b3", "short_code": "ob", "title": "ATSR-2: Gridded Brightness Temperature/Reflectance (GBTR) Product (AT2_TOA_1P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-2 satellite (ATSR-2) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. The product was calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product were derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files." }, { "ob_id": 40160, "uuid": "4371686200b444ffa6abf675334fd932", "short_code": "ob", "title": "ATSR-2: Gridded Surface Temperature (GST) Product (AT2_NR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-2 satellite (ATSR-2) Gridded Surface Temperature (GST) Product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. The contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files." }, { "ob_id": 40085, "uuid": "4f3d4c97d9be45419679fc498e7f6501", "short_code": "ob", "title": "ATSR-2: Average Surface Temperature (AST) Product (AT2_AR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-2 satellite (ATSR-2) Average Surface Temperature (AST) Product. These data are the Level 2 spatially averaged geophysical product derived from Level 1B product and auxiliary data. This data is from the 3rd reprocessing and tagged v3.0.1\r\n\r\nThere are two types of averages provided: 10 arcminute cells and 30 arcminute cells. All cells are present regardless of the surface type. Hence, the sea (land) cells would also have the land (sea) records even though these would be empty. Cells containing coastlines will have both valid land and sea records; the land (sea) record only contains averages from the land (sea) pixels. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 195305, 195304, 195303, 195302, 195301, 195300, 195299, 195298 ], "onlineresource_set": [ 83526, 83528, 83534, 83535, 83515, 83518, 83529, 83519, 83522, 83516, 83520, 83513, 83517, 83514, 83530, 83524, 83527, 83533, 83537, 83538, 83539, 83525, 83521, 83720, 83721 ], "project_set": [ 19910 ] }, { "ob_id": 40190, "uuid": "a918c09740b345a089fd47c4c48526b4", "short_code": "coll", "title": "CCMI-2022 data produced by the MIROC-ES2H model from MIROC", "abstract": "The MIROC-ES2H model contribution to 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 MIROC-ES2H chemistry-climate model is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate) which has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) 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, MIROC-ES2H, MIROC, JAMSTEC, AORI, NIES, R-CCS, APARC", "publicationState": "published", "dataPublishedTime": "2023-08-11T11:35:31", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 40191, "uuid": "9443bf96bdc044b9b8a43280ba0d662b", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the MIROC-ES2H model from MIROC", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 43437, "uuid": "ee70a9639a364aea845ef3b84ffa8be2", "short_code": "ob", "title": "CCMI-2022: senD2-fix data produced by the MIROC-ES2H model from MIROC", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-fix produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).\r\n\r\nIt used a baseline (SSP2-45) with a modified specified stratospheric aerosol distribution using a repeated annual cycle of the WACCM-calculated Surface Area Density (SAD) for 2025 (the WACCM background before stratospheric aerosol injection was initiated) and with specified SSTs/sea-ice as in senD2-sai.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 39223, "uuid": "4262e08336404147878b3adeb4e68950", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CCSR-NIES MIROC3.2 model at NIES", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CCSR-NIES MIROC3.2 model run by the modelling team at NIES (National Institute for Environmental Studies) in Japan.\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": 40351, "uuid": "af0ea05fec104b418d4dc43f230f35e5", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the MIROC-ES2H model from MIROC", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the MIROC-ES2H model which is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate). This has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan).\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": [ 195962, 195968, 195967, 195966, 195965, 195964, 195963, 195961, 196638 ], "onlineresource_set": [ 83723, 83724, 83725 ], "project_set": [ 32805 ] }, { "ob_id": 40201, "uuid": "0760dcb81380402f8e7a1dcb20d1eec9", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GEM-NEMO model at ECCC", "abstract": "The GEM-NEMO model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at Environment and Climate Change Canada (ECCC).\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\nModel reference publications:\r\n- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018\r\n- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020", "keywords": "GEM-NEMO, ECCC, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:49:23", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40194, "uuid": "6fdda887181143f9a7d265883bc00b63", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GEM-NEMO model at ECCC", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by the seasonal prediction research team at ECCC (Environment and Climate Change Canada). It is generated with the coupled climate model GEM-NEMO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018\r\n- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020" }, { "ob_id": 40199, "uuid": "f7812032a3f94c89bba253b94eed465d", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GEM-NEMO model at ECCC", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by the seasonal prediction research team at ECCC (Environment and Climate Change Canada). It is generated with the coupled climate model GEM-NEMO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018\r\n- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020" }, { "ob_id": 40197, "uuid": "5e924de0f26e48c194568075338ad3ff", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GEM-NEMO model at ECCC", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by the seasonal prediction research team at ECCC (Environment and Climate Change Canada). It is generated with the coupled climate model GEM-NEMO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018\r\n- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196007, 196013, 196012, 196011, 196010, 196009, 196008, 196006, 205548 ], "onlineresource_set": [ 83742, 83743, 83744, 83745 ], "project_set": [ 37088 ] }, { "ob_id": 40209, "uuid": "181b2e501be0452984371d1c77fdab2a", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GLOBO model at CNR-ISAC", "abstract": "The GLOBO model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at the Institute of Atmospheric Sciences and Climate, Bologna, Italy (CNR-ISAC).\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011\r\n- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019", "keywords": "GLOBO, CNR-ISAC, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-11T15:02:41", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40207, "uuid": "d1683a835200480bb1c7227d1dd1c884", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GLOBO model at CNR-ISAC", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at CNR-ISAC (Institute of Atmospheric Sciences and Climate, Bologna, Italy). It is generated with the coupled climate model GLOBO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011\r\n- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019" }, { "ob_id": 40205, "uuid": "5521afe5d13e451eb2b09469e3920a61", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GLOBO model at CNR-ISAC", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at CNR-ISAC (Institute of Atmospheric Sciences and Climate, Bologna, Italy). It is generated with the coupled climate model GLOBO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011\r\n- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019" }, { "ob_id": 40202, "uuid": "5dd9097ff0cf49d2ab84c357ca3a4f4c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GLOBO model at CNR-ISAC", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at CNR-ISAC (Institute of Atmospheric Sciences and Climate, Bologna, Italy). It is generated with the coupled climate model GLOBO. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011\r\n- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196042, 196041, 196040, 196039, 196046, 196045, 196044, 196043 ], "onlineresource_set": [ 83758, 83759, 83760, 83761 ], "project_set": [ 37088 ] }, { "ob_id": 40217, "uuid": "8210180b4c664012831f8a66c934c004", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GRIMs model at SNU", "abstract": "The GRIMs model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at Seoul National University (SNU). \r\n\r\nThese datasets contain data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y", "keywords": "GRIMs, SNU, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:47:20", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40215, "uuid": "a53e90273cc24d8ca7845367bf30085b", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GRIMs model at SNU", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at SNU (Seoul National University). The dataset contains data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y" }, { "ob_id": 40213, "uuid": "fd604dd31ffc4d12bd90c17b43ba12a6", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GRIMs model at SNU", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at SNU (Seoul National University). The dataset contains data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y" }, { "ob_id": 40210, "uuid": "87792f7c7fa343168fa47aa3040d1584", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GRIMs model at SNU", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at SNU (Seoul National University). The dataset contains data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196083, 196082, 196081, 196080, 196079, 196078, 196076, 196077, 196084 ], "onlineresource_set": [ 83770, 83771, 88095 ], "project_set": [ 37088 ] }, { "ob_id": 40225, "uuid": "81516f7545ef4ba1b39ec87ed5d0e5f1", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6-GC32 model at KMA", "abstract": "The GloSea6-GC32 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at Korea Meteorological Administration (KMA). \r\n\r\nThese datasets contains data from the Global Seasonal Forecasting System version 6 (GloSea6) of Korea Meteorological Administration at N216 (432x324) horizontal and L85 vertical resolutions. The GloSea6 model is a coupled general circulation model (CGCM) consisting of UM11.5, NEMO3.6, CICE5.1.2, JULES5.6 for atmosphere, ocean, sea ice, and land models, respectively. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014\r\n- Williams, K. D., Harris, C. M., Bodas-Salcedo, A., Camp, J., Comer, R. E., Copsey, D., Fereday, D., Graham, T., Hill, R., Hinton, T., Hyder, P., Ineson, S., Masato, G., Milton, S. F., Roberts, M. J., Rowell, D. P., Sanchez, C., Shelly, A., Sinha, B., Walters, D. N., West, A., Woollings, T., and Xavier, P. K.: The Met Office Global Coupled model 2.0 (GC2) configuration, Geosci. Model Dev., 8, 1509–1524, https://doi.org/10.5194/gmd-8-1509-2015, 2015\r\n- Walters, D., Boutle, I., Brooks, M., Melvin, T., Stratton, R., Vosper, S., Wells, H., Williams, K., Wood, N., Allen, T., Bushell, A., Copsey, D., 675 Earnshaw, P., Edwards, J., Gross, M., Hardiman, S., Harris, C., Heming, J., Klingaman, N., Levine, R., Manners, J., Martin, G., Milton, S., Mittermaier, M., Morcrette, C., Riddick, T., , Roberts, M., Sanchez, C., Selwood, P., Stirling, A., Smith, C., Suri, D., Tennant, W., Vidale, P. L., Wilkinson, J., Willett, M., Woolnough, S., and Xavier, P.: The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, 2017", "keywords": "GloSea6-GC32, KMA, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:51:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40221, "uuid": "3a4c89e4107a4fc6a9af1255649c335c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GloSea6-GC32 model at KMA", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at KMA (Korea Meteorological Administration). The dataset contains data from the Global Seasonal Forecasting System version 6 (GloSea6) at N216 (432x324) horizontal and L85 vertical resolutions. The GloSea6 model is a coupled general circulation model (CGCM) consisting of UM11.5, NEMO3.6, CICE5.1.2, JULES5.6 for atmosphere, ocean, sea ice, and land models, respectively. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014\r\n- Williams, K. D., Harris, C. M., Bodas-Salcedo, A., Camp, J., Comer, R. E., Copsey, D., Fereday, D., Graham, T., Hill, R., Hinton, T., Hyder, P., Ineson, S., Masato, G., Milton, S. F., Roberts, M. J., Rowell, D. P., Sanchez, C., Shelly, A., Sinha, B., Walters, D. N., West, A., Woollings, T., and Xavier, P. K.: The Met Office Global Coupled model 2.0 (GC2) configuration, Geosci. Model Dev., 8, 1509–1524, https://doi.org/10.5194/gmd-8-1509-2015, 2015\r\n- Walters, D., Boutle, I., Brooks, M., Melvin, T., Stratton, R., Vosper, S., Wells, H., Williams, K., Wood, N., Allen, T., Bushell, A., Copsey, D., 675 Earnshaw, P., Edwards, J., Gross, M., Hardiman, S., Harris, C., Heming, J., Klingaman, N., Levine, R., Manners, J., Martin, G., Milton, S., Mittermaier, M., Morcrette, C., Riddick, T., , Roberts, M., Sanchez, C., Selwood, P., Stirling, A., Smith, C., Suri, D., Tennant, W., Vidale, P. L., Wilkinson, J., Willett, M., Woolnough, S., and Xavier, P.: The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, 2017" }, { "ob_id": 40223, "uuid": "9140c9f6b8b14e4a9bd7c976fe61b467", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GloSea6-GC32 model at KMA", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at KMA (Korea Meteorological Administration). The dataset contains data from the Global Seasonal Forecasting System version 6 (GloSea6) at N216 (432x324) horizontal and L85 vertical resolutions. The GloSea6 model is a coupled general circulation model (CGCM) consisting of UM11.5, NEMO3.6, CICE5.1.2, JULES5.6 for atmosphere, ocean, sea ice, and land models, respectively. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014\r\n- Williams, K. D., Harris, C. M., Bodas-Salcedo, A., Camp, J., Comer, R. E., Copsey, D., Fereday, D., Graham, T., Hill, R., Hinton, T., Hyder, P., Ineson, S., Masato, G., Milton, S. F., Roberts, M. J., Rowell, D. P., Sanchez, C., Shelly, A., Sinha, B., Walters, D. N., West, A., Woollings, T., and Xavier, P. K.: The Met Office Global Coupled model 2.0 (GC2) configuration, Geosci. Model Dev., 8, 1509–1524, https://doi.org/10.5194/gmd-8-1509-2015, 2015\r\n- Walters, D., Boutle, I., Brooks, M., Melvin, T., Stratton, R., Vosper, S., Wells, H., Williams, K., Wood, N., Allen, T., Bushell, A., Copsey, D., 675 Earnshaw, P., Edwards, J., Gross, M., Hardiman, S., Harris, C., Heming, J., Klingaman, N., Levine, R., Manners, J., Martin, G., Milton, S., Mittermaier, M., Morcrette, C., Riddick, T., , Roberts, M., Sanchez, C., Selwood, P., Stirling, A., Smith, C., Suri, D., Tennant, W., Vidale, P. L., Wilkinson, J., Willett, M., Woolnough, S., and Xavier, P.: The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, 2017" }, { "ob_id": 40218, "uuid": "9243d4cabb934d648f70f5c8b32b8abf", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GloSea6-GC32 model at KMA", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at KMA (Korea Meteorological Administration). The dataset contains data from the Global Seasonal Forecasting System version 6 (GloSea6) at N216 (432x324) horizontal and L85 vertical resolutions. The GloSea6 model is a coupled general circulation model (CGCM) consisting of UM11.5, NEMO3.6, CICE5.1.2, JULES5.6 for atmosphere, ocean, sea ice, and land models, respectively. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014\r\n- Williams, K. D., Harris, C. M., Bodas-Salcedo, A., Camp, J., Comer, R. E., Copsey, D., Fereday, D., Graham, T., Hill, R., Hinton, T., Hyder, P., Ineson, S., Masato, G., Milton, S. F., Roberts, M. J., Rowell, D. P., Sanchez, C., Shelly, A., Sinha, B., Walters, D. N., West, A., Woollings, T., and Xavier, P. K.: The Met Office Global Coupled model 2.0 (GC2) configuration, Geosci. Model Dev., 8, 1509–1524, https://doi.org/10.5194/gmd-8-1509-2015, 2015\r\n- Walters, D., Boutle, I., Brooks, M., Melvin, T., Stratton, R., Vosper, S., Wells, H., Williams, K., Wood, N., Allen, T., Bushell, A., Copsey, D., 675 Earnshaw, P., Edwards, J., Gross, M., Hardiman, S., Harris, C., Heming, J., Klingaman, N., Levine, R., Manners, J., Martin, G., Milton, S., Mittermaier, M., Morcrette, C., Riddick, T., , Roberts, M., Sanchez, C., Selwood, P., Stirling, A., Smith, C., Suri, D., Tennant, W., Vidale, P. L., Wilkinson, J., Willett, M., Woolnough, S., and Xavier, P.: The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, 2017" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196114, 196120, 196119, 196118, 196117, 196116, 196115, 196113, 196121 ], "onlineresource_set": [ 83789, 83790, 83791, 83792, 83793 ], "project_set": [ 37088 ] }, { "ob_id": 40273, "uuid": "f9409f61fcc5494386d52f8efbcf8ddd", "short_code": "coll", "title": "CCI/C3S/U Reading: Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record Collection, version 2.1", "abstract": "This collection of datasets provides a full time series of Sea Surface Temperature Level 3C data from the Advanced Very High Resolution Radiometer (AVHRR) satellite instruments. It comprises two datasets, the v2.1 CDR dataset from the ESA Climate Change Initiative and the corresponding ICDR dataset from the Copernicus Climate Change service (C3S). \r\n\r\nThe ICDR data follows on from the CDR dataset in time, and is intended for use as a single dataset.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 39978, "uuid": "86d55a4576284365906f661aa547e566", "short_code": "ob", "title": "Copernicus Climate Change Service Dataset: Sea Surface Temperature Integrated Climate Data Record (ICDR) from the Advanced Very High Resolution Radiometer (AVHRR), Level 3C (L3C), version 2.1", "abstract": "This dataset provides gridded Sea Surface Temperature data derived from the Advance Very High Resolution Radiometer (AVHRR) series of satellites. Data is available separately for the AVHRR instruments on NOAA-19, METOP-A and METOP-B.\r\n\r\nThis dataset is produced as an Intermediate Climate Data Record for the Copernicus Climate Change Service (C3S). V2.1 extends from 2017-2022.\r\n\r\nA historic Climate Data Record (CDR) has also been produced under the ESA Climate Change Initiative Sea Surface Temperature (CCI_sst). This is available as a separate dataset in the CEDA catalgoue and through the ESA CCI Open Data Portal." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196301, 196300, 196299, 196298, 196297, 196296, 196295, 196294, 196302, 196303 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 40368, "uuid": "02b333743ab14d0fa95894b00ccca3cf", "short_code": "coll", "title": "CCMI-2022 data produced by the CESM2-WACCM model at NCAR", "abstract": "The CESM2-WACCM model contribution to 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 CESM2-WACCM chemistry-climate model is run by the modelling team at NCAR (National Center for Atmospheric Research) 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, CESM2-WACCM, NCAR, APARC", "publicationState": "published", "dataPublishedTime": "2024-11-11T15:58:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 146 ], "discoveryKeywords": [], "member": [ { "ob_id": 40364, "uuid": "7b8f6c90cadf443e92fd39fb30f047b0", "short_code": "ob", "title": "CCMI-2022: refD2 data produced by the CESM2-WACCM model at NCAR", "abstract": "This dataset contains model data for CCMI-2022 experiment refD2 produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": 40361, "uuid": "4610c48742a14980afdb4ff5b2f733d4", "short_code": "ob", "title": "CCMI-2022: refD1 data produced by the CESM2-WACCM model at NCAR", "abstract": "This dataset contains model data for CCMI-2022 experiment refD1 produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\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": 40366, "uuid": "42330587bdc44dd299262c591fd866a6", "short_code": "ob", "title": "CCMI-2022: senD2-sai data produced by the CESM2-WACCM model at NCAR", "abstract": "This dataset contains model data for CCMI-2022 experiment senD2-sai produced by the CESM2-WACCM model run by the modelling team at the NCAR (National Center for Atmospheric Research), in the US.\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\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\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 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\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": [ 196802, 196801, 196800, 196799, 196798, 196804, 196797, 196803 ], "onlineresource_set": [ 84021, 84022, 84023 ], "project_set": [ 32805 ] }, { "ob_id": 40379, "uuid": "8fc98ddf822f464dbd8a9e89b2da063c", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6 model at UKMO", "abstract": "The GloSea6 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the UK Met Office (UKMO). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nMacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014", "keywords": "GloSea6, UKMO, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:55:55", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 43962, "uuid": "9384f4944d574fefb4a88f16ceba0a19", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control-full data produced by the GloSea6 model at UKMO", "abstract": "This dataset contains model data for SNAPSI experiment 'control-full' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" }, { "ob_id": 40231, "uuid": "e49233d13cc244aaab12843c66c51e79", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GloSea6 model at UKMO", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" }, { "ob_id": 40226, "uuid": "95697468005740fa96f08d223c407a18", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GloSea6 model at UKMO", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" }, { "ob_id": 40229, "uuid": "da04b3aeaf684d57b1ddb63cd9b2ebb0", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GloSea6 model at UKMO", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" }, { "ob_id": 40233, "uuid": "1ddb8b0ca0ae4638b872ad3d60d30933", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the GloSea6 model at UKMO", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged-full' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196859, 196858, 196857, 196856, 196854, 196855, 196861, 196860 ], "onlineresource_set": [ 84043, 84038, 84039 ], "project_set": [ 37088 ] }, { "ob_id": 40380, "uuid": "d160e81ccf9842d0b1c0a25b56a5ddfa", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the IFS model at ECMWF", "abstract": "The IFS model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the European Centre for Medium-Range Weather Forecasts (ECMWF). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication", "keywords": "IFS, ECMWF, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:56:33", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40374, "uuid": "d1a2fb1e6a57477d853b9d12a3ca42c8", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the IFS model at ECMWF", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged-full' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication" }, { "ob_id": 40791, "uuid": "fef8f8b1e0c5489f9cce7876db079e56", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the IFS model at ECMWF", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members produced by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication" }, { "ob_id": 40372, "uuid": "a597a291cb00455fa1184f7a701dbc2e", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the IFS model at ECMWF", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication" }, { "ob_id": 40369, "uuid": "1b959bc3b82d4198924b976f5dced9d9", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the IFS model at ECMWF", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at ECMWF (European Centre for Medium-Range Weather Forecasts, United Kingdom). This dataset contains all ensemble members by the ECMWF IFS model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196863, 196870, 196869, 196868, 196867, 196866, 196865, 196864, 196871, 196872 ], "onlineresource_set": [ 84041, 84042, 84040 ], "project_set": [ 37088 ] }, { "ob_id": 40381, "uuid": "300077b625e94c02b7d93e6521b4451d", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the SPEAR model at NOAA-GFDL", "abstract": "The SPEAR model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)", "keywords": "SPEAR, NOAA-GFDL, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:57:04", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40376, "uuid": "c2576bf741044871826aeea94b8ccbc1", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the SPEAR model at NOAA-GFDL", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NOAA-GFDL (National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory) in Princeton, USA. This dataset contains all ensemble members by the GFDL SPEAR model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)" }, { "ob_id": 40624, "uuid": "33138664259340c09737eba915d9cfbf", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the SPEAR model at NOAA-GFDL", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NOAA-GFDL (National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory) in Princeton, USA. This dataset contains all ensemble members by the GFDL SPEAR model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196877, 196876, 196875, 196874, 196873, 196880, 196879, 196878, 196881 ], "onlineresource_set": [ 84045, 84046, 84044 ], "project_set": [ 37088 ] }, { "ob_id": 40392, "uuid": "ce8fb52804934952a00ef7d3d223d305", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CESM2-CAM6 model at NCAR", "abstract": "The CESM2-CAM6 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the National Center for Atmospheric Research, USA (NCAR). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)", "keywords": "CESM2-CAM6, NCAR, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2024-10-14T07:51:13", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 40390, "uuid": "382452ccb0fe44a0a2345b91ae0dc8f3", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the CESM2-CAM6 model at NCAR", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)" }, { "ob_id": 40385, "uuid": "7ff1c538597b4e7f9aa09f52ce5df79c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CESM2-CAM6 model at NCAR", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)" }, { "ob_id": 40388, "uuid": "99fed4ea9ce24e6490b8d7009346e362", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CESM2-CAM6 model at NCAR", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NCAR (National Center for Atmospheric Research, USA). The data is generated with the coupled climate model CESM2-CAM6.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 196920, 196927, 196921, 196926, 196925, 196924, 196923, 196922, 205496 ], "onlineresource_set": [ 84075, 84078, 84076, 84077 ], "project_set": [ 37088 ] }, { "ob_id": 40623, "uuid": "88a8620229014e0ebacf0606b302112d", "short_code": "coll", "title": "ForestScan Collection", "abstract": "This collection is part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. The collection contains a multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unoccupied aerial vehicle LiDAR scanning (UAV-LS), airborne laser scanning (ALS), and in-situ tree census and ancillary data. ForestScan was conceived to evaluate new technologies for characterising forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.\r\n\r\nData are presented for the first three Forest Biomass Research Monitoring Sites in Paracou Research Station in French Guiana; Station d'Etudes des Gorilles et Chimpanzes, Lopé National Park in Gabon; and Kabili-Sepilok Forest Reserve, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, unmanned aerial vehicle-based laser scanning (UAV-LS) and airborne laser scanning (ALS) where possible, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection.\r\n\r\nWe also provide detailed field data collection protocols for TLS, UAV-LS, and ALS measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates.\r\n\r\nThe ForestScan project is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and GEO-TREES, a new Group on Earth Observations (GEO) initiative aimed at establishing a network of FBRM sites. ForestScan is the first demonstration of what could be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of EO-derived AGB estimates", "keywords": "ForestScan, GEO-TREES, BIOMASS mission, ESA, AGB estimates, TLS, UAV-LS, ALS, Tropical forests, Field protocols", "publicationState": "citable", "dataPublishedTime": "2025-02-20T12:01:20", "doiPublishedTime": "2025-01-20T15:38:54", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 40879, "uuid": "ff4b43475c9641cca1dad2c8be8dadaf", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-02, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens and Virginie Daelemans, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-10_OKO-02.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-02/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets" }, { "ob_id": 40858, "uuid": "5e78ff91e9cd4143bfa3b7358efd2607", "short_code": "ob", "title": "ForestScan: Tree census data (diameter and species name) of FBRMS-01: Paracou, French Guiana 1ha plot IRD-CNES, October 2021", "abstract": "This dataset consists of data collected during the October 2021 census. A few trees were also measured in January 2022 as they could not be accessed in 2021. The data collection includes treeID, position, DBH_cm (girth in cm), observations, POM_cm (Point of measurement) status, census, date, family, genus and species. Botanical identification was done by Julien Engel (IRD). Trees were positioned using TLS scan by Olivier Martin. This tree census was funded by CNES (France)." }, { "ob_id": 38111, "uuid": "dd4d20c8626f4b9d99bc14358b1b50fe", "short_code": "ob", "title": "Airborne LiDAR and RGB imagery from Sepilok Reserve and Danum Valley in Malaysia in 2020", "abstract": "This dataset contains LiDAR and RedGreenBlue (RGB) Imagery data collected from a helicopter over two forest sites in Sabah, Malaysia in February 2020.\r\n\r\nPoint cloud data are included in LAS (LASer) format as well as RGB data summary rasters in .tif format. The raster images were processed with LAStools using default parameters. Canopy Height Model (CHM), Digital Surface Model (DSM), Digital Terrain Model (DTM) and pulse density (pd) are also present. The RGB data are provided as jpgs and are organised by flight julian day (JD). \r\n\r\nThe Sepilok Reserve was scanned in full between 15 February 2020 (julian day 46). This is a total area of 27 square kilometres. In Danum Valley the scanning was distributed into two contiguous areas, the protected area (20 square kilometres) and the reduced impact logging area (9 square kilometres) on the 19-22 February 2020 (julian day 50-53). Importantly, these areas were chosen because of the availability of prior airborne LiDAR data collected by NERC in 2014 and by Ground Data Solutions in 2013. \r\n\r\nThe helicopter flew at approximately 350 m altitude above the forest canopy and at a speed of approximately 100 km/hr. The data were georeferenced using ground control points and are provided in the UTM 50N coordinate system." }, { "ob_id": 40870, "uuid": "1d554ff41c104491ac3661c6f6f52aab", "short_code": "ob", "title": "Aerial LiDAR data from French Guiana, Paracou, November 2019", "abstract": "This dataset contains Aerial LiDAR (also known as airborne laser scanning, ALS) data in .las format collected over tropical forests in Paracou in French Guiana in 2019. The data were collected by Altoa using a BN2 aircraft flying at approximately 900 m altitude at a speed of approximately 180 km/hr. Trajectory files in txt format giving detailed flight data are included with the archived dataset. The LiDAR instrume was a RIEGL LMS-Q780 and used a minimum pulse density of 15 points/sqm. The lateral overlap between two flight lines was 80% with a scan angle of +/- 30 degrees. The data coordinate reference system used with the data files is epsg 2972 more details of this and of the Paracou site can be found in the documentation section." }, { "ob_id": 40876, "uuid": "40f0f38023ac40f6b40bbf96e4dc5258", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG8c4, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-09-26_FG8c4.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG8c4/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 44877, "uuid": "a79fcb9ab0c443fc86d453cc064759b1", "short_code": "ob", "title": "ForestScan project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon, June 2022, Version 2.0", "abstract": "This dataset contains point cloud data (a set of data points in a 3D coordinate system) which were collected using a RIEGL miniVUX1-DL LiDAR scanner mounted on a DELAIR DT26X Unpiloted Aerial Vehicle (UAV). The data was collected in June 2022 as part of the ForestScan project. The person responsible for the data collection was Dr. Iain McNicol from the University of Edinburgh, who collected and processed the data." }, { "ob_id": 40855, "uuid": "b1cd34f6af7941a3b1429ac52a3f6b28", "short_code": "ob", "title": "ForestScan: Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot IRD-CNES, October 2021", "abstract": "Terrestrial laser scanning (TLS) was conducted in October 2021 by G. Vincent and J-L Smock (IRD) using a Riegl VZ-400. Scans were acquired at locations on a 10 m Cartesian grid. Capturing a complete sample of the scene at each location requires two scans (upright and tilted), owing to a 100° field of view. 249 scans in total were collected. The angular resolution between sequentially fired pulses was 0.04°, resulting in approximately 22.4 million emitted pulses per scan (i.e., 5.42 billion per ha). Up to four targets can be resolved per pulse, with a nominal ranging accuracy of 5 mm. The laser itself is characterised by a beam divergence of 0.35 mrad, and the diameter of the beam at emission is 7 mm (e.g., the diameter of the beam at a range of 50 m, would be 21 mm). The pulse repetition rate was 300 kHz, therefore, each scan took approximately 3 minutes to complete. To generate a plot-level point cloud from individual scans, all scans were co-registered and projected to a standard geographical coordinate system (epsg 2972). To this end, 5 identifiable targets with known X,Y,Z coordinates (plot corners + plot centre) were positioned using a total station.\r\n\r\nOnce co-registered using RiScanPro software, individual scans were exported in las extrabyte format (including deviation) using LidarFomartConverter v.1.2.(AMAP code based on RivLib). Reflectance range was set to -30dB to +5dB and stored in the Intensity field as a long integer. Echoes outside this reflectance range were discarded. Coordinate precisions were set to 0.001 m. The full point cloud (all 249 scans) was then cropped to 1.4 ha plot (+10m buffer around 100x100m plot), and tiled per 20 x 20m (no buffer). Cropping and tiling were done with LAStools software. Scan position number was stored as flight line to allow selection of scans if needed. In particular, distant scans which contribute little more than noise could be deleted. LiDAR data were acquired without the “reflectance optimization filter”. In order to keep only returns with reflectance above -20dB (equivalent to setting reflectance optimization filter) all returns with Intensity below 18724 were dropped." }, { "ob_id": 40875, "uuid": "931973db09af41568853702efe135f29", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG6c2, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-18_FG6c2.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG6c2/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 40880, "uuid": "8ed3ddec76b8470285bdb2ea643f54bc", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-03, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens and Virginie Daelemans, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-07-04_OKO-03.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-03/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 43029, "uuid": "8ea2c697ee53430a84825384bfdcf06a", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot LPG-01, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens, Virginie Daelemans and Löic Makaga, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-24_LPG-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/LPG-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 43410, "uuid": "ff217c783e3f4c66a4891d2b5807ee6e", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-30, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2). \r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-20.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-30/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 43405, "uuid": "37b039605e9b4bb5a89371fd7f5b7ba1", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-11, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates\r\n.\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-14.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-11/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 40872, "uuid": "7bdc5bfc06264802be34f918597150e8", "short_code": "ob", "title": "Aerial LiDAR data from French Guiana, Nouragues, November 2019", "abstract": "This dataset contains Aerial LiDAR (also known as airborne laser scanning, ALS) data in .las format collected over tropical forests in Nouragues in French Guiana in 2019. The data were collected by Altoa using a BN2 aircraft flying at approximately 900 m altitude at a speed of approximately 180 km/hr. Trajectory files in txt format giving detailed flight data are included with the archived dataset. The LiDAR instrument was RIEGL LMS-Q780 and used a minimum pulse density of 15 points/sqm. The lateral overlap between two flight lines was 80%. with a Scan angle of +/- 30 degrees. The data coordinate reference system used with the data files is epsg 2972 more details of this and of the Nouragues site can be found in the documentation section." }, { "ob_id": 43408, "uuid": "bb81c82352524df99ddd411f6ca2ec81", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-03: Kabili-Sepilok, Malaysian Borneo 1ha plot SEP-12, March 2017", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Malaysia during March 2017 by Mathias Disney using a Riegl VZ-400 scanner. Data collection assistance was provided by postdocs Dr Phil Wilkes, Dr Andy Burt and Dr Toby Jackson and a local team of field assistants. Data processing was performed by Dr Cecilia Chavana-Bryant with assistance provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. \r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: SEP-11, SEP-12 and SEP-30. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2017-03-02.001.riproject) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/malaysia/SEP-12/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 40853, "uuid": "7bef89a9dc404683a46642625a024a4b", "short_code": "ob", "title": "ForestScan: Aerial Laser Scanning (ALS) of FBRMS-01: Paracou, French Guiana, November 2022", "abstract": "This Aerial Laser Scanning (ALS) campaign was conducted in November 2022. The ALS data corresponding to plots FG5c1, FG6c2, FG8c4 and IRD-CNES also scanned by Terrestrial LiDAR Scanning (TLS) in October or November 2022 as part of the ForestScan Project are provided in four separate laz files.\r\n\r\nThe covered area: 3*2.16 ha + 1*1.44 ha; Pulse density: ~200 m2; Scanner type: VQ 780II RIEGL; Scanner wavelength: 1064 nm; Beam divergence: <=0.25 mrad (1/e2); Vehicle: Airplane BN2; Operator: Altoa. Acquisition parameters: swath angle: +/-20 degrees; PRR (channel type): ~ 1000 kHz; Ground footprint size of pulse: ~0.16 m; Flight height: 650m terrain follow mode (AGL); Acquisition mode: Full waveform, RGB camera on board but no orthomosaïc made." }, { "ob_id": 40878, "uuid": "45ae3437f82f4e4fb75f9a5c26a194ba", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-01, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL postdoc Dr Phil Wilkes and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-04_OKO-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." }, { "ob_id": 40322, "uuid": "005f2e0aebc24ed98a9772a0ba3798e2", "short_code": "ob", "title": "ForestScan Project: Multiple Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data acquisitions of FBRMS-01: Paracou, French Guiana, plots 4, 5, 6, 8, IRD-CNES and Flux-Tower area, October 2019", "abstract": "This dataset contains complete merged point clouds (.laz) per acquisition flight, derived raster products in .tif georeferenced format, Digital surface models (.DSM), Canopy height models (.CHM) and Digital terrain models (.DTM). The data is from multiple drone flights over different plots in Paracou French Guiana. All products are the following projection EPSG:2972 RGFG95 and UTM (Universal Transverse Mercator) zone 22N. Different scanning scenarios should allow for sensitivity analyses with respect to:\r\n\r\n(i) scanning altitude (above the LiDAR (Light Detection and Ranging) derived DTM, either in terrain follow mode (AGL) or at constant altitude (AMSL)\r\n(ii) scanning pattern main orientation\r\n\r\nOver Plot 6 (P6): two different scan altitudes are available (80m AGL and 145m AMSL ~ 125 AGL), as well as different flight pattern main directions (75°, 345°, 120°, 165°)\r\n\r\nOver Plots 4 and 5 (P4 & P5): altitude = 110m AMSL ~ 90m AGL, flight directions = 345°\r\n\r\nOver PCNES & Tower: altitude = 105m AMSL ~ 80m AGL and 80m AGL, flight directions = 0° and 90° \r\n\r\nOver P8: altitude = 105m AMSL ~ 80m AGL, flight directions = 75° and 345° \r\n\r\nInformation on the individual drone flights and directory location can be found below in the following format: \r\n\r\nCountry\\Zone\\Pilot\\Scanner\\Date\\Flight\\Flight (delivery)\\Freq mirror rot (Hz)\\Interline(m)\\Direction (°)\\Speed(m/s)\\Alt(m) \r\ndirectory location- XX/XX\r\n\r\n\r\nFrench Guiana\\Paracou \\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-124006\\V1\\20\\20\\345\\5t80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\tYS-20191018-131043\\V2\\20\\20\\345\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V2\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-183057\\V3\\20\\20\\120\\t5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V3\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-185416\\V4\\20\\20\\120\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V4\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-190345\\V5\\20\\20\\75\\5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/ V5\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-200932\\V1\\20\\20\\165\\5\\145 amsl \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-115917\\V2\\20\\20\\75\\5\\145 amsl \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V2\r\n\r\nFrench Guiana\\Paracou\\P4&5\\NB\\VX20021\\19/10/2019\\YS-20191019-172347\\20\\50\\345\\5\\100 amsl \r\ndirectory location - CIRAD_Plot_4_5/\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-162557\\V1\\20\\50\\0\\5\\80 AGL \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V1\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-181021\\V2\\20\\50\\90\\5\\105 amsl \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V2\r\n\r\nFrench Guiana\\Paracou\\P8\\NB\\VX20021\\20/10/2019\\YS-20191020-113907\\20\\50\\75&345\\5\\105 amsl \r\ndirectory location - CIRAD_Plot_P8\r\n\r\nThe data was gathered to support the systematic collection and understanding of reference data for biomass product validation. The CEOS Good Practices Guideline can be found in the documentation section." }, { "ob_id": 40851, "uuid": "325a4dde60d142049339e0c84816aac1", "short_code": "ob", "title": "ForestScan Project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) and Terrestrial Laser Scanning (TLS) data of FBRMS-01: Paracou, French Guiana plot 6, 10th October to 15th November 2019", "abstract": "This dataset contains LiDAR scanning derived products (raw scanner data, geo-located point clouds, individual 3D tree models) collected over the north-eastern part (200 m x 200 m) of FBRMS-01: Paracou, French Guiana plot 6. The campaign took place from the 10th of October to the 15th of November 2019. Terrestrial LiDAR Scanning (TLS) was conducted on a regular grid with spacing of 10 m with a RIEGL VZ-400 scanner and retro-reflective targets for scan registration. Unpiloted Aerial Vehicle Laser Scanning (UAV-LS) was conducted with a RIEGL Ricopter with VUX-SYS VUX-1UAV system with varying flight heights and flight directions.\r\n\r\nThe TLS point clouds were collected to produce explicit 3D models of individual trees and subsequently estimate their above-ground biomass (AGB). The UAV-LS point clouds were collected to test scanner settings and inspect point clouds properties, in particular with regard to their suitability to model individual trees and their AGB.\r\n\r\nThe campaign was conducted by researchers Benjamin Brede, Harm Bartholomeus and Alvaro Lau of the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University & Research (The Netherlands) with support from Nicolas Barbier of AMAP Lab (Botany and Modeling of Plant Architecture and Vegetation)." }, { "ob_id": 40874, "uuid": "656ac8ee1d42443f9addcbce28c1b137", "short_code": "ob", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG5c1, September to October 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL PhD student Wanxin Yang and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing terrestial (TLS), unpiloted airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-10_FG5c1.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG5c1/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets." } ], "identifier_set": [ 13225 ], "responsiblepartyinfo_set": [ 206656, 197664, 197663, 197662, 197661, 197660, 197659, 197658, 197657, 206657, 206658, 206659, 206690, 206660, 206661, 206662, 206663, 206664, 206665, 206768, 206666, 206667, 206692, 206670, 206671, 206672, 206673, 206675, 206676, 206677, 206769, 206678, 206674, 206693, 206681, 206683, 206950, 206684, 206687, 206688, 206685, 206679, 206669, 206668, 206682, 206686, 206689, 206691 ], "onlineresource_set": [ 88334, 94276 ], "project_set": [ 40337 ] }, { "ob_id": 40660, "uuid": "793cdd9b0b0142e3af5b6013d2076e22", "short_code": "coll", "title": "SERMON: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for SERMON FAAM Aircraft Project.", "keywords": "SERMON, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2023-06-19T14:08:12", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 40659, "uuid": "a038af544a604e4495a9d1f217cb03ae", "short_code": "ob", "title": "FAAM C335 SERMON 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 SERMON FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 197865, 197864, 197863, 197862, 197861, 197860, 197859, 197858, 197866, 197867 ], "onlineresource_set": [], "project_set": [ 40657 ] }, { "ob_id": 40767, "uuid": "ff890589c21f4033803aa550f52c980c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 08.1 data collection", "abstract": "Soil Moisture data (version 08.1) 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, FY-3C, FY3D, 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 2022-12-31 and the ACTIVE product covering 1991-08-05 to 2022-12-31. 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). 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\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": "published", "dataPublishedTime": "2023-10-11T10:51:47", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 40765, "uuid": "6f99cdb86a9e4d3da2d47c79612c00a2", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 08.1", "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 COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v08.1 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 2022-12-31. 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\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": 40766, "uuid": "010243ea38f3473a885d2ccd9cfb77ab", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 08.1", "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 v08.1 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 (i.e. active remote sensing) and radiometer (i.e. passive remote sensing) soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP 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\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": 40764, "uuid": "16dc7da110324e5196e922191d962157", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 08.1", "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 PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v08.1 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 2022-12-31. 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\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": 40763, "uuid": "b0f5fc3a10cf4806ab57326edd8daf65", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 08.1", "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 ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v08.1 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 2022-12-31. 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\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 198333, 198332, 198331, 198330, 198329, 198328, 198327, 198326, 198334, 198335, 198339, 198340, 198342, 198343, 198344, 198345, 198377, 198378, 198379, 198380 ], "onlineresource_set": [ 84933, 84934, 84935, 84936, 84937, 84938, 84940, 84975, 84976 ], "project_set": [ 13332 ] }, { "ob_id": 41059, "uuid": "39f15efce1d748c584c4056ed0eb9669", "short_code": "coll", "title": "Total Carbon Column Observing Network (TCCON): All network sites", "abstract": "This repository is a mirror from the Caltech TCCON data repository located at https://tccondata.org/. This mirror is part of CEDA to facilitate JASMIN integration of the dataset.\r\n\r\nThe current Data Use Policy is available at https://tccon-wiki.caltech.edu/Main/DataUsePolicy\r\nSee project page for more details.", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 224 ], "discoveryKeywords": [], "member": [ { "ob_id": 40978, "uuid": "749f3c169e284c2d96c4d3177eda7bd4", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Darwin (AU), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Darwin, Australia." }, { "ob_id": 41006, "uuid": "f06fa21481b64a8396141d718b2feb5a", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Réunion Island (RE), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Reunion Island (Ile de La Reunion), France." }, { "ob_id": 41005, "uuid": "e3dcd4b7f6f94e38ab355fb502dafc9b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Park Falls (US), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Park Falls, Wisconsin, USA." }, { "ob_id": 40986, "uuid": "a34a4c58003b4e4cb78abbafc886b965", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Izana (ES), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Izana, Tenerife, Spain." }, { "ob_id": 41003, "uuid": "83c4d528c53946fbbd0fa1b609f5105b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Orléans (FR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Orleans, France." }, { "ob_id": 40979, "uuid": "48a182f84efd4c50b4875434750b7025", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from East Trout Lake, SK (CA), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at East Trout Lake, Canada." }, { "ob_id": 43122, "uuid": "494d0131d23f4ca88ef3494582362015", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Bialystok (PL), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Bialystok, Poland." }, { "ob_id": 40969, "uuid": "89cdd7443d5f49ef924ea2aa3248d12b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Burgos, Ilocos Norte (PH), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Burgos, Ilocos Norte, Philippines." }, { "ob_id": 40995, "uuid": "28e78c1e916d48229848000be49fa754", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), 125HR, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 125HR." }, { "ob_id": 40981, "uuid": "eead68ab80a148d0b25c810f702ff487", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Eureka (CA), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Eureka, Canada." }, { "ob_id": 40993, "uuid": "94333c1e25e046699190745e61e833db", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Karlsruhe (DE), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Karlsruhe, Germany." }, { "ob_id": 40996, "uuid": "365d18c631084275a6421c3d972e51a3", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 125HR." }, { "ob_id": 40999, "uuid": "eb18d741bc7b4f4190499952bdb8c183", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lamont (US), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lamont, Oklahoma, USA." }, { "ob_id": 40968, "uuid": "6bc32fef97594bd7a082929265865cdc", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Bremen (DE), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Bremen, Germany." }, { "ob_id": 40987, "uuid": "510150041b544481a239b01edb5ebd83", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Jet Propulsion Laboratory (US), 2007, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA." }, { "ob_id": 41002, "uuid": "360faeff764a47e6a8497852d4a7d3d3", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Ny-Ålesund, Svalbard (NO), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Ny-Ålesund, Svalbard, Norway." }, { "ob_id": 40972, "uuid": "40be02c8cc0f44249d91fc22dfde2936", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Harwell, Oxfordshire (UK), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO) are retrieved. This is the GGG2020 data release of observations from the TCCON station at Harwell, UK." }, { "ob_id": 40984, "uuid": "c380d1f51d544fd28114474be59d0375", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Hefei (PRC), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Hefei, China." }, { "ob_id": 41004, "uuid": "ec7de25d1f684c09b94cdbe824ddc700", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Paris (FR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at LERMA, Sorbonne Université, Campus Pierre et Marie Curie, 4 Place Jussieu, Paris 05, France." }, { "ob_id": 41007, "uuid": "47f7fe05848c465d82be8c260a6a2b25", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Rikubetsu (JP), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Rikubetsu, Hokkaido, Japan." }, { "ob_id": 40982, "uuid": "067be8cdb1a544559afc7eb70b6a5f1b", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Four Corners (US), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Four Corners, NM, USA." }, { "ob_id": 40971, "uuid": "f1fdbb8d2c8949aab6964c9e5b437874", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Caltech (US), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at California Institute of Technology, Pasadena, California, USA." }, { "ob_id": 41012, "uuid": "d775aa73371c4f1f8f59aded37f1a15c", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Xianghe, China, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Xianghe, China." }, { "ob_id": 40994, "uuid": "5f93fa8eb0ae41cc917fd05029694013", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Lauder (NZ), 120HR, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lauder, New Zealand, 120HR." }, { "ob_id": 41000, "uuid": "4e2a4e4b762446c38b3fc2e2fd756d15", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Manaus (BR), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Manaus, Brazil." }, { "ob_id": 41001, "uuid": "6d0a40cf2bd94344abc982b1af921273", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Nicosia (CY), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Nicosia (CY), The Cyprus Institute." }, { "ob_id": 41009, "uuid": "bcacc4899f4d4da4ab35e3daed252e07", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Sodankylä (FI), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Sodankylä, Finland" }, { "ob_id": 40983, "uuid": "ad376a447510467a97b663b9e29d29d3", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Garmisch (DE), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Garmisch, Germany." }, { "ob_id": 40980, "uuid": "10cf625381ea4fe28c92e6df65861465", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Edwards (US), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Armstrong Flight Research Center, Edwards, CA, USA." }, { "ob_id": 40985, "uuid": "154ca14a95de4aedb5bae816bbec3b74", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Indianapolis (US), Release GGG2020.R1", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Indianapolis, Indiana, USA." }, { "ob_id": 41010, "uuid": "2d7165d3bf8e492188687d5199dcb1df", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Tsukuba (JP), 125HR, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Tsukuba, Ibaraki, Japan, 125HR." }, { "ob_id": 41008, "uuid": "1eccee388b6148abb7a048a9dcbabe3d", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Saga (JP), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Saga, Japan" }, { "ob_id": 40988, "uuid": "b8cd7c1a3b7d4fd3814033fea73a7655", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA." }, { "ob_id": 41011, "uuid": "0e591cb194c04b63a60c18518ee9193d", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON):TCCON data from Wollongong (AU), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO), are retrieved. This is the GGG2020 data release of observations from the TCCON station at Wollongong, Australia." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 199743, 199742, 199741, 199748, 199746, 199745, 199744, 199747 ], "onlineresource_set": [ 85397, 85398 ], "project_set": [ 40019 ] }, { "ob_id": 41060, "uuid": "efd6f7f45fc34189b6fbb7164b6d7255", "short_code": "coll", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Harwell, Oxfordshire (UK)", "abstract": "This repository contains TCCON data specific to the Harwell (UK) site. It contains both public top-level (Level 2) data, that have passed quality control, and the associated intermediate instrumental (Level 1) data for users wishing to run an independent column retrieval processor. Corresponding environmental (e.g. meteorological, geophysical) data recorded at the Harwell site are also provided.\r\n\r\nThe current Data Use Policy is available at https://tcconwiki.caltech.edu/Network_Policy/Data_Use_Policy\r\nSee project page for more details.", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "publicationState": "published", "dataPublishedTime": "2023-12-08T09:42:17", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 226 ], "discoveryKeywords": [], "member": [ { "ob_id": 41600, "uuid": "7d7cf5d115074fe5a3f70e174adff824", "short_code": "ob", "title": "Meteorological data from the TCCON site at Harwell, Oxfordshire (UK)", "abstract": "This repository contains the meteorological data associated to the Harwell TCCON observatory, UK. The dataset includes time in UTC, pressure, temperature, relative humidity, wind speed and direction, rainfall rate, shortwave downwelling flux and duration of sunshine, along other technical parameters, such as the time adjustment from GPS signal.\r\nThe data are operationally used as part of the Harwell TCCON data processing.\r\nContact information can be found in the metadata file 'harwell_weather_metadata'." }, { "ob_id": 40972, "uuid": "40be02c8cc0f44249d91fc22dfde2936", "short_code": "ob", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Harwell, Oxfordshire (UK), Release GGG2020.R0", "abstract": "The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrogen fluoride (HF), carbon monoxide (CO), water vapour (H2O), and deuterated water vapour (HDO) are retrieved. This is the GGG2020 data release of observations from the TCCON station at Harwell, UK." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 199759, 199755, 199754, 199753, 199752, 199751, 199750, 199749, 199756, 199757, 199758 ], "onlineresource_set": [ 85399, 85400, 85585 ], "project_set": [ 40019 ] }, { "ob_id": 41083, "uuid": "01dac4c57559407fb40292389c386d30", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CanESM5 model at CCCma", "abstract": "The CanESM5 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the Canadian Centre for Climate Modelling and Analysis (CCCma). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)", "keywords": "CanESM5, CCCma, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2025-03-07T18:56:00", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 41076, "uuid": "2bc7e812f8c8468390a1261065ab7b53", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" }, { "ob_id": 41079, "uuid": "e895a56d229f4045928155afa1d6afe5", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" }, { "ob_id": 41081, "uuid": "14e1d782a0f349bdb0db9f0e06c32d25", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the CanESM5 model at CCCma", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at CCCma (Canadian Centre for Climate Modelling and Analysis). This dataset contains all ensemble members produced by the CCCma CanESM5 model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 199841, 199840, 199839, 199838, 199837, 199836, 199835, 199834, 208158, 208159 ], "onlineresource_set": [ 85423, 85424, 85428, 85429 ], "project_set": [ 37088 ] }, { "ob_id": 41095, "uuid": "fc81d4179d1841b4a51564b719c2bd5c", "short_code": "coll", "title": "MEWS: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for MEWS FAAM Aircraft Project.", "keywords": "MEWS, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2023-11-27T16:00:52", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41168, "uuid": "ecd425fbfbfe4647b678a54d99abf1f0", "short_code": "ob", "title": "FAAM C354 MEWS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for MEWS FAAM Aircraft Project project." }, { "ob_id": 41094, "uuid": "75e787d0e6c54c65b85a03b3ec38e41a", "short_code": "ob", "title": "FAAM C353 MEWS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for MEWS FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 199891, 199890, 199889, 199888, 199887, 199886, 199885, 199884, 199892, 199893 ], "onlineresource_set": [], "project_set": [ 41092 ] }, { "ob_id": 41163, "uuid": "dd0d8d4051684412b54d188ca1d4970f", "short_code": "coll", "title": "PTECE : in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for PTECE FAAM Aircraft Project.", "keywords": "PTECE , AEOG-4, FAAM, airborne, atmospheric measurments", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41162, "uuid": "fa4284a5070547c297a0ac17e5e7af05", "short_code": "ob", "title": "FAAM C363 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41115, "uuid": "f9cadc17e4244622aedc6abba2de0e9f", "short_code": "ob", "title": "FAAM C358 PTECE and AEOG-4 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 PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41156, "uuid": "04bc98e73156480ea5d892fccb1b6881", "short_code": "ob", "title": "FAAM C362 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41148, "uuid": "da4c8ed38cd44b76b5d3d365557ae129", "short_code": "ob", "title": "FAAM C361 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41132, "uuid": "175d4c6a385444babffe86b516b5e13c", "short_code": "ob", "title": "FAAM C359 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41140, "uuid": "97bb119857a644f8ac0a52acf3c89011", "short_code": "ob", "title": "FAAM C360 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 200189, 200188, 200187, 200186, 200185, 200184, 200183, 200182, 200190, 200191 ], "onlineresource_set": [], "project_set": [ 41159 ] }, { "ob_id": 41164, "uuid": "71438398a0dc44808eb85fff689571aa", "short_code": "coll", "title": "AEOG-4: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for AEOG-4 FAAM Aircraft Project.", "keywords": "PTECE , AEOG-4, FAAM, airborne, atmospheric measurments", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41162, "uuid": "fa4284a5070547c297a0ac17e5e7af05", "short_code": "ob", "title": "FAAM C363 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41115, "uuid": "f9cadc17e4244622aedc6abba2de0e9f", "short_code": "ob", "title": "FAAM C358 PTECE and AEOG-4 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 PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41156, "uuid": "04bc98e73156480ea5d892fccb1b6881", "short_code": "ob", "title": "FAAM C362 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41148, "uuid": "da4c8ed38cd44b76b5d3d365557ae129", "short_code": "ob", "title": "FAAM C361 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41132, "uuid": "175d4c6a385444babffe86b516b5e13c", "short_code": "ob", "title": "FAAM C359 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." }, { "ob_id": 41140, "uuid": "97bb119857a644f8ac0a52acf3c89011", "short_code": "ob", "title": "FAAM C360 PTECE and AEOG-4 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for PTECE FAAM Aircraft Project and AEOG-4 FAAM Aircraft Project projects." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 200199, 200198, 200197, 200196, 200195, 200194, 200193, 200192, 200200, 200201 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 41204, "uuid": "da1e33cf3be54133a54026baf3289530", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, 4th Reprocessing", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains data from the 4th reprocessing of the AATSR data. This was done to make the data format consistent with that of the later Copernicus Sentinel data.\r\n\r\nThe Envisat AATSR Level 1B Brightness Temperature/Radiance product (AT_1_RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Data is available from 2002 to 2012.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data and allows for access via JASMIN.", "keywords": "AATSR, temperature, reflectance, satellite", "publicationState": "published", "dataPublishedTime": "2025-03-24T11:36:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 114 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1142, "name": "NDGO0005" } ], "member": [ { "ob_id": 43183, "uuid": "6f5eb4ba74fa41bfb421d828d9a3f941", "short_code": "ob", "title": "AATSR: Multimission land and sea surface temperature data, 4th Reprocessing (v4) AT_1_RBT", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe Envisat AATSR Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis AATSR product (AT_1_RBT) in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. \r\n\r\nThe 4th reprocessing of Envisat AATSR data was completed in 2022." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 200337, 200336, 200335, 200334, 200333, 200332, 200331, 200330 ], "onlineresource_set": [ 85563, 85557, 85558, 85568, 85559, 85561, 85562, 85572, 85566, 85569, 85570, 85575, 85573, 85574, 85576, 88170 ], "project_set": [ 19899 ] }, { "ob_id": 41206, "uuid": "76564384e4824d0ab94208c235be84f6", "short_code": "coll", "title": "CCI River Discharge", "abstract": "to be written", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ 200349, 200348, 200347, 200346, 200345, 200344 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 41230, "uuid": "ecad5261e8d446bfa842b4b7a227d5b0", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the NAVGEM model at NRL", "abstract": "The NAVGEM model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the Naval Research Laboratory (NRL), Washington DC, USA.\r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\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\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)", "keywords": "NAVGEM, NRL, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "publicationState": "published", "dataPublishedTime": "2025-03-07T19:01:43", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 229 ], "discoveryKeywords": [], "member": [ { "ob_id": 41227, "uuid": "b3353ace59bc4ca7b94f38f4b0510448", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'nudged' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" }, { "ob_id": 41225, "uuid": "05d63906a1ce48dab130f128b404679c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'free' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" }, { "ob_id": 41222, "uuid": "d77400c037da4416b44ec3f86695d32c", "short_code": "ob", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the NAVGEM model at NRL", "abstract": "This dataset contains model data for SNAPSI experiment 'control' produced by scientists at NRL (Naval Research Laboratory, Washington DC, USA). This dataset contains all ensemble members produced by the NRL NAVGEM model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the time-evolving climatological state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\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- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 200432, 200431, 200430, 200429, 200428, 200427, 200426, 200425 ], "onlineresource_set": [ 85618, 85619, 85620, 85621, 85622 ], "project_set": [] }, { "ob_id": 41237, "uuid": "f2ca631f29a24c47a7e98654ddf2c7d9", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly and monthly sea surface salinity products, v04.41, for 2010 to 2022", "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 2010-2022 period.\r\n\r\nThis dataset collection contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a 0.25° grid and 1 day of time sampling. This product is also available on polar 25 km EASE (Equal Area Scalable Earth) grids.\r\n\r\nA monthly product is also available, at a spatial resolution of 25 km and a time resolution of 1 month. It is spatially sampled on a 0.25° grid and 15 days of time sampling. This product is also available on polar 25km EASE grids.\r\n\r\nIn addition to salinity, information on uncertainties are provided. For more information, see the user guide and product documentation available on the Sea Surface Salinity CCI web page (linked below).", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "citable", "dataPublishedTime": "2024-02-16T10:56:21", "doiPublishedTime": "2024-02-16T10:57:18", "dontHarvestFromProjects": false, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 41236, "uuid": "ecc355e395ed4c5597c613ae7f9c53b0", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a NH polar 25km EASE (Equal Area Scaleable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, { "ob_id": 41233, "uuid": "a601f52222ba486aa9f0a18db3a009b7", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, { "ob_id": 41234, "uuid": "7cc16c0d8d2f49278ed5ebf8341ed40b", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product on a global grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a 0.25 degree grid and 15 days of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A weekly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, { "ob_id": 41232, "uuid": "0d0f4a942a144d9cab9263de3949a5d6", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product on a global grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a 0.25 degree grid and 1 day of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A monthly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset also covers a longer period (Jan 2010-Oct 2022)." }, { "ob_id": 41231, "uuid": "471698c7db45451cbf3b7d834ecab9fd", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a NH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." }, { "ob_id": 41235, "uuid": "249d2907975a45a8b078e1a8bd4a7343", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v04.41, for 2010 to 2022", "abstract": "This dataset contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties 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 version 3.21 of the data, version 04.41 SSS is of similar or improved quality. The main improvements concern high latitude regions (reduced seasonal biases and better ice flagging). The v04.41 dataset covers a longer period (Jan 2010-Oct 2022)." } ], "identifier_set": [ 12825 ], "responsiblepartyinfo_set": [ 200648, 200647, 200646, 200650, 200645, 200644, 200643, 200649, 200652, 200651, 200653, 200654, 200677, 200656, 200657, 200678, 200679, 200660, 200680, 200662, 200665, 200666, 200681, 200668, 200682, 200683, 200669, 200671, 200672, 200674, 200684, 200685 ], "onlineresource_set": [ 85648, 85650 ], "project_set": [ 28235 ] }, { "ob_id": 41339, "uuid": "eb195463b93c47a0aa52a59885908b75", "short_code": "coll", "title": "Arctic Summer-time Cyclones- Airborne meteorological measurements", "abstract": "Airborne in-situ observations of core meteorological data collected by the Meteorological Airborne Science INstrumentation (MASIN) instruments on board the British Antarctic Survey instrumented Twin Otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. The core data were collected in the Svalbard, Norway and Iceland Sea region between 29th July 2022 and 20th August 2022. 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\nThe UK component of the Arctic Summertime-cyclones project field experiment are funded by the Natural Environment Research Council (NERC) NE/T006773/1, NE/T006811/1 and NE/T00682X/1. They will joined by teams from the USA and France, funded by the Office of Naval Research (USA).", "keywords": "MASIN, Meteorology, Arctic, Cyclone", "publicationState": "published", "dataPublishedTime": "2024-01-19T17:16:32", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41287, "uuid": "6c31ce057f2142798440b9cda758891f", "short_code": "ob", "title": "BAS-MASIN flight 366: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 366 on 02 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41307, "uuid": "935caa6574e94c178a05ed9942640f50", "short_code": "ob", "title": "BAS-MASIN flight 371: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 371 on 11 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41291, "uuid": "de5d4d7c8f204ae7ade10ebfc4cb850e", "short_code": "ob", "title": "BAS-MASIN flight 367: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 367 on 02 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41311, "uuid": "83fd4cd56fd84669b8e8a15895f30eac", "short_code": "ob", "title": "BAS-MASIN flight 372: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 372 on 12 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41327, "uuid": "6b48b1af63e747dcbf7ff92b3d723be0", "short_code": "ob", "title": "BAS-MASIN flight 378: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 378 on 17 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41335, "uuid": "3e1d17b3b97f4277aee6b79c91f7c9d6", "short_code": "ob", "title": "BAS-MASIN flight 380: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 380 on 20 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41303, "uuid": "dd437aea5ee6422eb2cdd21295f486a9", "short_code": "ob", "title": "BAS-MASIN flight 370: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 370 on 09 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41315, "uuid": "9440c60e2f834386b09e756a9fae2a53", "short_code": "ob", "title": "BAS-MASIN flight 375: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 375 on 15 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41279, "uuid": "54db67ea5a734ea3841c50ba7b72418e", "short_code": "ob", "title": "BAS-MASIN flight 363: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 363 on 29 July 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41319, "uuid": "7cd67744f53d4578a39b7486c7b26fb9", "short_code": "ob", "title": "BAS-MASIN flight 376: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 376 on 16 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41299, "uuid": "038228cb39ac42d698c655e468edf992", "short_code": "ob", "title": "BAS-MASIN flight 369: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 369 on 08 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41323, "uuid": "a639be5df04949d6a4de6029f0419cae", "short_code": "ob", "title": "BAS-MASIN flight 377: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 377 on 16 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41295, "uuid": "02b8000810374169b3bbcaaa386a1237", "short_code": "ob", "title": "BAS-MASIN flight 368: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 368 on 06 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41331, "uuid": "137af8ea228449f895087bf7ca51469c", "short_code": "ob", "title": "BAS-MASIN flight 379: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 379 on 19 August 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." }, { "ob_id": 41283, "uuid": "607d539451954bd0baf8d2a64c742503", "short_code": "ob", "title": "BAS-MASIN flight 364: airborne meteorological observations from the Arctic Summer-time Cyclones project", "abstract": "In-situ airborne observations collected during flight 364 on 30 July 2022 by the Meteorological Airborne Science Instrumentation (MASIN) on board the British Antarctic Survey (BAS) Twin-otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. This dataset contains the core meteorological data from the MASIN instrument suite. \r\n\r\nData were collected over the Svalbard, Norway area." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 201231, 201226, 201225, 201224, 201223, 201222, 201221, 201220, 201227, 201228, 201229, 201230, 201233, 201234 ], "onlineresource_set": [], "project_set": [ 41265 ] } ] }