Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=8000
{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=8100", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=7900", "results": [ { "ob_id": 31527, "uuid": "e1652afc79274925b6cd005beeb28cf8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/PMIP/CAS/FGOALS-f3-L/midHolocene", "numberOfFiles": 20, "volume": 12542242275, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31526, "uuid": "d1a276ac6fad42b6ba943e5b1e57fbfe", "short_code": "ob", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-f3-L model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31530, "uuid": "8863fc87fcf64039aebdb7580201280b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/PMIP/INM/INM-CM4-8/midHolocene", "numberOfFiles": 55, "volume": 17951583460, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31529, "uuid": "7f8ddbfd83c147919ce1ab385d1e0fda", "short_code": "ob", "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31533, "uuid": "d8dd56f84d4f42059e3b4b54add260bf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/PMIP/NCC/NorESM2-LM/midHolocene", "numberOfFiles": 84, "volume": 11743996754, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31532, "uuid": "906d2792077e4eeea3fea32303d75803", "short_code": "ob", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"midHolocene\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Norwegian Climate Centre (NCC) NorESM2-LM model output for the \"mid-Holocene\" (midHolocene) experiment. These are available at the following frequencies: Amon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31536, "uuid": "71fb3dd0b3f24f3184477a6d80efe2ca", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/NASA-GISS/GISS-E2-1-G/ssp119", "numberOfFiles": 4, "volume": 1681595169, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31535, "uuid": "e188baee5fb34b408801e13a49b5c6a0", "short_code": "ob", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"ssp119\" 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-E2-1-G model output for the \"low-end scenario reaching 1.9 W m-2, based on SSP1\" (ssp119) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31539, "uuid": "a4a19293585c4381bc7f8888f74d9350", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/NIMS-KMA/KACE-1-0-G/ssp245", "numberOfFiles": 357, "volume": 549428309063, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31538, "uuid": "6077a169717a4893861cdfa6c737e2d3", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp245\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"update of RCP4.5 based on SSP2\" (ssp245) experiment. These are available at the following frequencies: 3hr, AERmon, Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31542, "uuid": "8269c36e168049a2b143934147fdeb1c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/NIMS-KMA/KACE-1-0-G/ssp585", "numberOfFiles": 212, "volume": 562895894802, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31541, "uuid": "560eebdc55fa426ca59ba91048f56582", "short_code": "ob", "title": "WCRP CMIP6: the NIMS-KMA team KACE-1-0-G model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the NIMS-KMA team KACE-1-0-G model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Lmon, Omon, SImon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31545, "uuid": "86cc0fe908e242dcaa169c08aae07989", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/THU/CIESM/ssp126", "numberOfFiles": 86, "volume": 91373995934, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31544, "uuid": "deb3283a1d1040bd9237fbf45107dce4", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"ssp126\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"update of RCP2.6 based on SSP1\" (ssp126) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31548, "uuid": "3dc534a18eee48deb4592ea5a34d9b94", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cmip6/data/CMIP6/ScenarioMIP/THU/CIESM/ssp585", "numberOfFiles": 89, "volume": 91794009925, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31547, "uuid": "7d7214cdff734ade9588c8157acf79d0", "short_code": "ob", "title": "WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"ssp585\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the \"update of RCP8.5 based on SSP5\" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record." }, "onlineresource_set": [] }, { "ob_id": 31554, "uuid": "af4336dc30d04693aa925cf333e6cd78", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2019/MOLidar_ophelia/", "numberOfFiles": 9, "volume": 1272245978, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31553, "uuid": "49a8c73c22a04b6f999f1de98420f3cd", "short_code": "ob", "title": "Met Office Lidar data for four sites in the Met Office lidar network observing ex-hurricane Ophelia on 15th and 16th October 2017.", "abstract": "This dataset contains Raman Lidar data from four UK sites in the Met Office Volcanic Ash lidar network for the 15th and 16th October 2017 when ex-hurricane Ophelia passed to the West of the British Isles, bringing dust from the Sahara and smoke from Portuguese forest fires that was observable to the naked eye in the UK. The sites included are Camborne, Rhyl, Watnall, and Loftus.\r\n\r\nThe data files contain profiles for co-polar, cross-polar and Raman backscatter data. The data support the following publication: Osborne, M., Adam, M., Buxmann, J., Sugier, J., Marenco, F., and Haywood, J.: Saharan dust and biomass burning aerosols during ex-hurricane Ophelia: validation of the new UK lidar and sun-photometer network, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-695." }, "onlineresource_set": [] }, { "ob_id": 31560, "uuid": "870c960a7ee44f23b39264b139f6aef9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31562, "uuid": "362431f9eea0418fba7cec8fe267d3de", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31564, "uuid": "848d3c9d6bda4608bd0a8716c1c2188c", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31567, "uuid": "daaa873e2ad3461ab6f4634150df21bd", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31570, "uuid": "6b21c84743904381bb96a9330638d1e3", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31575, "uuid": "106694cbd9af4e0ebd275efd5ce26e61", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31577, "uuid": "2cefc60b6ed14b0baf7808e13ddd7888", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31581, "uuid": "8de6f0e1836f422f9668e56d739dd83b", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31584, "uuid": "ee2c322c280a4706aa2a44e8db1a5e13", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31587, "uuid": "642b63d35dde429383c3cfeee0e21b20", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31590, "uuid": "8cfa3e462a374a5fa2383f269b26753b", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31594, "uuid": "4d8641c1e21141299fcce799ccd319be", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31598, "uuid": "5bc09bfc158240b89abee415431db079", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31602, "uuid": "a763e148705049aea6f0686a7d92d422", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31606, "uuid": "5820b0589dd84cbe98ee2f0bbb3696e0", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31610, "uuid": "87aa2974d2ac4469a0b4737e00422223", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31614, "uuid": "6a8c8f8540984bc2ab8e1c2f9cc1b4be", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31618, "uuid": "e050066550ca4371a4bf98c2ddff0014", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31622, "uuid": "30e1760d434a41daa4033c8c906203e8", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31626, "uuid": "f5af4c3248264cdc89560db87b669894", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_290_Danum_Valley", "numberOfFiles": 0, "volume": 0, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are 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This dataset comprises: full-waveform airborne LiDAR data collected using a Leica ALS50II LiDAR.\r\n\r\nData were collected over the Maliau Basin, Malaysia area." }, "onlineresource_set": [] }, { "ob_id": 31724, "uuid": "0dabb21bc85c41a58108cb581a0751ad", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2014/RG13_06/RG13_06-2014_303_Maliau_Basin", "numberOfFiles": 634, "volume": 118907715206, "fileFormat": "Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31723, "uuid": "82907459c1c74495874df13503053e3c", "short_code": "ob", "title": "NERC-ARF 2014_303 - RG13_06 Flight: Airborne remote sensing measurements", "abstract": "Airborne remote sensing measurements collected on 30 October 2014 onboard the Natural Environment Research Council Airborne Research Facility (NERC-ARF) Dornier Do228-101 D-CALM Aircraft for the Biodiversity and Land-use Impacts on Tropical Ecosystem function (BALI) (RG13_06) project (flight reference: 2014_303). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager, full-waveform airborne LiDAR data collected using a Leica ALS50II LiDAR and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Maliau Basin, Malaysia area." }, "onlineresource_set": [] }, { "ob_id": 31728, "uuid": "4192ed2b57e9465faf40e12fdd5e0523", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/ACCESS", "numberOfFiles": 768, "volume": 755993873503, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31727, "uuid": "bd70dfe5e10a4f54ac1971d161ff362f", "short_code": "ob", "title": "ACCESS-CCM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from Australian Community Climate and Earth System Simulator Chemistry Climate Model (ACCESS-CCM) model simulations, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for four CCMI-1 experiments: \r\nReference experiments: ref-C1 and ref-C2. \r\nSensitivity experiments: senC2fGHG and senC2fODS.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels." }, "onlineresource_set": [] }, { "ob_id": 31731, "uuid": "7506a23262e146979aa1ebe7c8072c17", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/CCCma", "numberOfFiles": 9664, "volume": 4385289267886, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31730, "uuid": "67d635a75ca94895a6d3960e1c4240c1", "short_code": "ob", "title": "CCCma CMAM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the Environment and Climate Change Canada (CCCma) Canadian Middle Atmosphere Model (CMAM) model simulations, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1, ref-C1SD and ref-C2. \r\nSensitivity experiments: senC2CH4rcp85, senC2fCH4, senC2fGHG, senC2fN2O, senC2fODS, senC2rcp26, senC2rcp45 and senC2rcp85.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2CH4rcp85: Similar to ref-C2 but the methane surface-mixing ratio follows the RCP 8.5 scenario (Meinshausen et al., 2011), all other GHGs and forcings follow RCP 6.0.\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011)." }, "onlineresource_set": [ 41337 ] }, { "ob_id": 31734, "uuid": "244ee3245ab2439d9daa29b4383c2eac", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/CHASER-MIROC-ESM", "numberOfFiles": 141618, "volume": 1899291578766, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31733, "uuid": "7a17010ef0524672be3eb2fdf0ea5cb6", "short_code": "ob", "title": "CHASER MIROC-ESM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Model data from CHASER MIROC-ESM, the atmospheric chemistry coupled version of the MIROC Earth System Model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP).\r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1SD and ref-C2. \r\nSensitivity experiments: senC1SDfEmis, senC2fCH4, senC2fEmis, senC2fGHG, senC2fN2O and senC2fODS.\r\n\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC1SDfEmis: Surface emissions such as nitrogen oxides (NOx ), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), and aerosol precursors are prescribed at 1960 levels throughout, allowing the influence of meteorological variability on tropospheric composition to be established.\r\nsenC2fEmis: Similar to ref-C2 but with surface and aircraft emissions fixed to their respective 1960 levels.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels." }, "onlineresource_set": [ 41343 ] }, { "ob_id": 31737, "uuid": "109b95d7b39848dba414390169837e30", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/IPSL", "numberOfFiles": 6093, "volume": 16664016003500, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31736, "uuid": "f5ee9e76e92c4d3a954876c35fc9b4a5", "short_code": "ob", "title": "IPSL LMDz-REPRO v5 model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from IPSL coupled chemistry climate model LMDz-REPROBUS v5, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1, ref-C1SD and ref-C2. \r\nSensitivity experiments: senC2fCH4, senC2fGHG, senC2fN2O, senC2fODS, senC2fODS2000, senC2rcp26, senC2rcp45 and senC2rcp85.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. \r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011)." }, "onlineresource_set": [ 41349 ] }, { "ob_id": 31739, "uuid": "de0f4ee982ba46f8b696bbf5f749e124", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/MESSy", "numberOfFiles": 56932, "volume": 41465870215728, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31738, "uuid": "fc5614cc6a7d44288dba9531c20c25b2", "short_code": "ob", "title": "ECHAM/MESSy Atmospheric Chemistry (EMAC) model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the ECHAM/MESSy Atmospheric Chemistry (EMAC) model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1, ref-C1SD and ref-C2.\r\nSensitivity experiment: senC2fGHG.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed)." }, "onlineresource_set": [] }, { "ob_id": 31742, "uuid": "38a3cc9828cf4ffa874032f0d3ab5117", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/MOHC", "numberOfFiles": 3205, "volume": 929167038447, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31744, "uuid": "a5eab66cb4d04cf79c1f26be20f34260", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/MRI", "numberOfFiles": 39376, "volume": 10596882236385, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31743, "uuid": "2b6deafe6cfe44aa97baaade622f2e97", "short_code": "ob", "title": "MRI-ESM1r1 model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the Meteorological Research Institute (MRI) Japan Earth System Model version 1 (ESM1), part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 reference experiments: ref-C1, refC1SD and ref-C2.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions." }, "onlineresource_set": [] }, { "ob_id": 31747, "uuid": "94ae841d16464829babcc530dbb09e35", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/NIES", "numberOfFiles": 5462, "volume": 5165171559184, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31746, "uuid": "ac36eb76c73e426d9daf60397e9d77df", "short_code": "ob", "title": "CCSR-NIES MIROC3.2 model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from CCSR-NIES MIROC3.2 model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1, ref-C1SD and ref-C2. \r\nSensitivity experiments: senC2fCH4, senC2fGHG, senC2fN2O, senC2fODS, senC2fODS2000, senC2rcp26, senC2rcp45, senC2rcp85 and senC2SlrTrnd.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. \r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011). \r\nsenC2SlrTrnd: Reduction of solar activity akin to the Maunder Minimum of the 17th and 18th centuries." }, "onlineresource_set": [] }, { "ob_id": 31750, "uuid": "093b22c928e94612a0fb2076039fa175", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/NIWA", "numberOfFiles": 4727, "volume": 4133132952224, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31749, "uuid": "bf8dff222c4c4a56af7c12aa706aed0c", "short_code": "ob", "title": "NIWA-UKCA model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the New Zealand National Institute of Water and Atmospheric Research - United Kingdom Chemistry and Aerosol (NIWA-UKCA) model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1 and ref-C2. \r\nSensitivity experiments: senC1fEmis, senC2fCH4, senC2fGHG, senC2fN2O and senC2fODS.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC1fEmis: Surface emissions such as nitrogen oxides (NOx ), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), and aerosol precursors are prescribed at 1960 levels throughout, allowing the influence of meteorological variability on tropospheric composition to be established.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels." }, "onlineresource_set": [] }, { "ob_id": 31753, "uuid": "80cec9ef4581474d87d8752bd460d6a9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/U-CAMBRIDGE", "numberOfFiles": 1058, "volume": 65952788752, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31752, "uuid": "5ed752ba72254a9db8f61f55f586a669", "short_code": "ob", "title": "UMUKCA-UCAM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the University of Cambridge - United Kingdom Chemistry and Aerosol model (UMUKCA-UCAM) , part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 reference experiments: ref-C1, ref-C1SD and ref-C2.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions." }, "onlineresource_set": [] }, { "ob_id": 31756, "uuid": "daee170a827e41ae8310975daf11d51e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/U-LAQUILA", "numberOfFiles": 3611, "volume": 446401463618, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31755, "uuid": "f251f836a1b54565a04c3b66181cb2f6", "short_code": "ob", "title": "ULAQ-CCM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the University L' Aquila Chemistry Climate Model (ULAQ-CCM), part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments: ref-C1 and ref-C2. \r\nSensitivity experiments: senC1SDfEmis, senC1SSI, senC2fCH4, senC2fEmis, senC2fGHG, senC2fN2O, senC2fODS, senC2fODS2000, senC2rcp26, senC2rcp45, senC2rcp85 and senC2SlrTrnd.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC1SDfEmis: Surface emissions such as nitrogen oxides (NOx ), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), and aerosol precursors are prescribed at 1960 levels throughout, allowing the influence of meteorological variability on tropospheric composition to be established. (“SD” stands for specified dynamics.)\r\nsenC1SSI: The same as ref-C1 but using a solar forcing dataset with increased UV intensity.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fEmis: Similar to ref-C2 but with surface and aircraft emissions fixed to their respective 1960 levels.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. \r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011). \r\nsenC2SlrTrnd: Reduction of solar activity akin to the Maunder Minimum of the 17th and 18th centuries." }, "onlineresource_set": [] }, { "ob_id": 31758, "uuid": "88d9a53e693f47839397146aa5d3c5bd", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/U-LEEDS", "numberOfFiles": 783, "volume": 276329374255, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31757, "uuid": "b3862d29d07e4c5089b3ab54cdab0343", "short_code": "ob", "title": "University of Leeds UMSLIMCAT model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the University of Leeds UMSLIMCAT model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\nThe dataset includes data for the following CCMI-1 experiments: \r\nReference experiments ref-C1, ref-C1SD and ref-C2. \r\nSensitivity experiments senC1SSI, senC2fGHG, senC2fODS, senC2fODS2000, senC2rcp45 and senC2rcp85.\r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC1SSI: The same as ref-C1 but using a solar forcing dataset with increased UV intensity.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fODS: The same as ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011).\r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011)." }, "onlineresource_set": [] }, { "ob_id": 31761, "uuid": "8555773f36f44d67a712aeeaffc83695", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/SNU-ACMG", "numberOfFiles": 499, "volume": 201825259960, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31760, "uuid": "ec750e4e40e142f4b753d5f3f88aa7cb", "short_code": "ob", "title": "SNU-ACMG GRIMs-CCM model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the Seoul National University Atmospheric Chemistry Modelling Group (SNU-ACMG) Global/Regional Integrated Model system‐Chemistry Climate Model (GRIMs-CCM) model , part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP).\r\n\r\nThe dataset includes data for the CCMI-1 reference experiments ref-C1 and ref-C1SD.\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)" }, "onlineresource_set": [] }, { "ob_id": 31764, "uuid": "d7b9b3b156f944e4b6ba1e17570de4cf", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/icecaps-ace/data/flux-estimates", "numberOfFiles": 7868, "volume": 594310338, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31768, "uuid": "bbd0a00c3d7f42f7bbd7ca69a8a9f4e6", "short_code": "ob", "title": "ICECAPS-ACE: surface turbulent heat flux estimates", "abstract": "This dataset contains estimates of turbulent heat and momentum fluxes calculated by applying the eddy covariance technique to the flux-components data product. Estimates are calculated over 15-minute and 30-minute averaging intervals, at two heights on the 15 m tower at Summit Station, Greenland.\r\n\r\n- ace-flux-1 are the lower level (~2 m above surface) calculations, from a Metek uSonic-3 scientific 3D sonic anemometer and Licor Li-7500 gas analyzer.\r\n- ace-flux-2 are the higher level measurements (~14 m above surface), from a Metek uSonic-3 scientific 3D sonic anemometer only (no latent heat flux).\r\n\r\nAlso see the ICECAPS-ACE: surface turbulent heat flux components data product for the high resolution (10 Hz) data used to make these calculations.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, "onlineresource_set": [] }, { "ob_id": 31766, "uuid": "f5ab82df61914ac8878a84dcf7245c0d", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/icecaps-ace/data/flux-components", "numberOfFiles": 7675, "volume": 758562149093, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31765, "uuid": "886ded7814b4432ba6530d51dfcf4c0d", "short_code": "ob", "title": "ICECAPS-ACE: surface turbulent heat flux components", "abstract": "This dataset contains high resolution measurements of temperature, humidity and wind fluctuations from Summit Station, Greenland. These measurements and derived quantities can be used to estimate turbulent fluxes using eddy covariance. The data are collected at 10 Hz resolution and statistical properties have been calculated over both 15-minute and 30-minute flux averaging intervals (separate files).\r\n\r\nThe measurements are located at two levels on the 15 m tower:\r\n- ace-flux-1 are the lower level (~2 m above surface) measurements, from a Metek uSonic-3 scientific 3D sonic anemometer and Licor Li-7500 gas analyzer.\r\n- ace-flux-2 are the higher level measurements (~14 m above surface), from a Metek uSonic-3 scientific 3D sonic anemometer only (no humidity measurements).\r\n\r\nAlso see the ICECAPS-ACE: surface turbulent heat flux estimates data product for estimations of latent and sensible heat flux calculated from these components.\r\n\r\nThese data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project.\r\n\r\nThese data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT." }, "onlineresource_set": [] }, { "ob_id": 31769, "uuid": "2997518da3d24cf8841671e6a8157d34", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ar6_sr15/data/spm/spm_1", "numberOfFiles": 9, "volume": 44873, "fileFormat": "badc_csv", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 30497, "uuid": "9002e9bbfef04c8d88ca6c921579f3c9", "short_code": "ob", "title": "Summary for Policymakers of the IPCC Special Report: Global Warming of 1.5°C - data for Figure SPM.1 (v20200602)", "abstract": "Data for Figure SPM.1 from the Summary for Policymakers (SPM) of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Global Warming of 1.5°C.\r\n\r\nFigure SPM.1 relates global mean surface temperature to cumulative emissions of CO2 and visualises the probability of limiting global warming to 1.5°C. \r\n\r\n---------------------------------------------------\r\nHow to cite this dataset\r\n---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below and the following citation for the report component from which the figure originates:\r\n\r\nIPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.\r\n\r\n---------------------------------------------------\r\nSources of additional information\r\n---------------------------------------------------\r\nLinks to Figure SPM.1 in the IPCC Special Report on Global Warming of 1.5°C, an interactive version of the figure, and supporting information in the Supplementary Material for Chapter 1 (Section 1.SM.6) can be found in the Related Documents section of this catalogue record. \r\n\r\n---------------------------------------------------\r\nFigure subpanels\r\n---------------------------------------------------\r\nThe figure has four panels, with data provided for panels (a), (b) and (d) in subdirectories named panel_a, panel_b and panel_d. Panel (c) data can be computed from panel (b) data so are not provided here.\r\n\r\n---------------------------------------------------\r\nList of data provided\r\n---------------------------------------------------\r\nThe dataset contains global time-series data from 1960-2100 for:\r\n - Observed global temperature change (1960-2017). \r\n - Historical anthropogenic global warming (1960-2017).\r\n - Modelled warming responses to global emission and radiative forcing pathways (2018-2100).\r\n\r\nThe dataset also contains global time-series data for carbon dioxide (CO2) and non-CO2 radiative forcing from 1960-2100 for:\r\n - Historical global net CO2 emissions (1960-2017).\r\n - Stylized global net CO2 emission pathways (2018-2100).\r\n - Historical global cumulative net CO2 emissions (1960-2017).\r\n - Stylized global cumulative net CO2 emission pathways (1960-2100).\r\n - Historical global non-CO2 radiative forcing pathways (1960-2017).\r\n - Global non-CO2 radiative forcing pathways (2018-2100).\r\n\r\n---------------------------------------------------\r\nData provided in relation to figure \r\n---------------------------------------------------\r\nPanel a:\r\n - Data file: panel_a/temps_hist.csv (monthly data, 1850-2017); relates to the left part showing observed global mean surface temperature change (grey line) and estimated anthropogenic global warming (orange line with shading the assessed likely range). \r\n - Data files: panel_a/temps_blue.csv, panel_a/temps_grey.csv, panel_a/temps_purple.csv (yearly data, 2018-2100, the lower and upper bound variables are plotted). These relate to the right part showing the likely range of warming responses (grey, blue and purple plumes) for different combinations of global net CO2 emission and net non-CO2 radiative forcing pathways. \r\nPanel b:\r\n - Data file: panel_b/gcp_out.csv (yearly data, 1960-2017); relates to the left part showing historical global net CO2 emissions (grey line). \r\n - Data file: panel_b/CO2_ems.csv (yearly data, 2018-2100, values in GtC rather than GtCO2); relates to the right part showing two stylized future global net CO2 emission pathways (grey land blue lines). \r\nPanel d:\r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 1960-2017, variable nonCO2RF_grey is plotted); relates to the left part showing historical global net non-CO2 radiative forcing. \r\n - Data file: panel_d/nonCO2_RF.csv (yearly data, 2018-2100, variables nonCO2RF_grey and nonCO2RF_purple are plotted); relates to the right part showing two stylized future global net non-CO2 radiative forcing pathways (grey and purple lines)." }, "onlineresource_set": [] }, { "ob_id": 31772, "uuid": "bcbf348e95e44b4f8d3c36fc64f08a82", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2020/um_antarctic_penins_hindcast", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31774, "uuid": "9b01c8401b86423dbb14274c3e889831", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2020/um_antarctic_penins_hindcast", "numberOfFiles": 87, "volume": 393316150436, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31773, "uuid": "41c879b06af642e9bc8e12d1d0ea3d62", "short_code": "ob", "title": "High-resolution regional Met Office Unified Model (UM) climate model hindcast of the Antarctic Peninsula (1998-2017)", "abstract": "This dataset includes a high-resolution gridded model hindcast simulation of the Antarctic Peninsula during the period 1998-2017, produced using the Met Office Unified Model (UM).\r\n\r\nVariables included in the dataset include near-surface meteorological variables like temperature and relative humidity, atmospheric profiles such as winds and humidity on pressure levels, cloud properties such as liquid/ice water paths, surface energy balance terms such as radiative and turbulent fluxes and surface fields such as surface meltwater production. All variables are outputted at 3- or 6-hourly intervals. Variables are separated into individual netCDF files, which are either two dimensional (for example surface for near-surface meteorological fields) or three dimensional (for example atmospheric profiles), over time.\r\n\r\nThe region covered is the central and northern Antarctic Peninsula, centred on the Larsen C ice shelf. The simulations are gridded on rotated pole coordinates and cover the period 01-01-1998 00:00 UTC to31-12-2017 23:59 UTC.\r\n\r\nA dynamically downscaled regional (limited area) version of the UM is run in atmosphere-only mode at 4.0 km horizontal grid spacing, with 70 vertical levels and a 100 second time step for the inner domain. The model is re-initialised from ERA-Interim reanalysis data every 12 hours, and the time series is produced by concatenating the t+12 hour to t+24 hr segments of each integration into a continuous time series. Specifics of the model configurations and parameterisations used to produce the simulations are documented in Gilbert et al. (2020) (doi: 10.1002/qj.3753).\r\n\r\nThese simulations were produced as part of the doctoral work of E. Gilbert, and was supported by the Natural Environment Research Council through the EnvEast Doctoral Training Partnership (grant number NE/L002582/1). E. Gilbert also acknowledges the use of the MONSooN system, a collaborative facility supplied under the Joint Weather and Climate Research Programme, a strategic partnership between the Met Office and the Natural Environment Research Council." }, "onlineresource_set": [] }, { "ob_id": 31784, "uuid": "32117946b0744c5aa037aa4877d0857f", "short_code": "result", "curationCategory": "", "dataPath": "/badc/igp/data/synthesised/", "numberOfFiles": 3, "volume": 25103125, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31783, "uuid": "b4ba8f11459c422d84d7293b9211ccf7", "short_code": "ob", "title": "Iceland Greenland Seas Project (IGP): surface layer meteorological measurements on board the NATO Research Vessel Alliance", "abstract": "This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR. \r\n\r\nThis dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. Sea surface temperature was measured by the underway SBE38 bow temperature sensor for the majority of the cruise, with 2m CTD observations used to fill several short gaps where high frequency observations were available. Additionally these observations have been processed using the COARE 3.0a bulk aerodynamic flux algorithm to provide bulk variables at standard heights and estimated flux coefficients. Attached documentation on quality control methods and calibrations should be consulted before using these data.\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)." }, "onlineresource_set": [] }, { "ob_id": 31789, "uuid": "901bb879e1a24f0ea01307089f18e0bd", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/oltraj/data/v1.0/", "numberOfFiles": 7635, "volume": 1730621594393, "fileFormat": "NetCDF V4.0", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31785, "uuid": "b9c80907bb37487fa1744f3c86f3e792", "short_code": "ob", "title": "NCEO LTSS: Global Ocean Lagrangian Trajectories, v1.0, 1998-2018 (OLTraj)", "abstract": "The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on surface velocities from an ocean reanalysis. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.\r\n\r\nThe dataset has global coverage and spans 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA package (6-hour time step) as described in Nencioli et al., 2018. Please see the documentation section below for further information." }, "onlineresource_set": [] }, { "ob_id": 31792, "uuid": "9d8dafafab6d4004ad8b366bda2d4d01", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/MS_UVAI/L3/v1.7/", "numberOfFiles": 13079, "volume": 8738316730, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31791, "uuid": "2e656d34d016414c8d6bced18634772c", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from the Multi-Sensor UV Absorbing Aerosol Index (MS UVAI) algorithm, Version 1.7", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.7. L3 products are provided as daily and monthly gridded products as well as a monthly climatology. \r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31794, "uuid": "b072aba449974201a0e3c92590ba0c2f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/fire_emissions/data/v0.0/", "numberOfFiles": 50, "volume": 1160351270, "fileFormat": "NetCDF V4.0", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31793, "uuid": "1d70803fab8f46ba983b730ede52421f", "short_code": "ob", "title": "Gridded daily Agricultural Burning Emission Inventory of Eastern China, 2012 - 2015, V0.0", "abstract": "The Gridded daily Agricultural Burning Emission Inventory of Eastern China dataset contains a unique high Spatio-temporal resolution agricultural burning inventory for eastern China for the years 2012-2015. \r\n\r\nThe data was generated using twice daily fire radiative power (FRP) observations from the ‘small fire optimised’ VIIRS-IM FRP product, and combined with fire diurnal cycle information taken from the geostationary Himawari-8 satellite.\r\n\r\nThis dataset was designed to fully take into account small fires well below the MODIS burned area or active fire detection limit, focusing on dry matter burned (DMB) and emissions of CO2, CO, PM2.5 and black carbon. The fuel for these fires is waste straw and other agricultural residues. Information from a crop rotation map to classify the type of agricultural residue being burned at each observed location and time, in addition to an agricultural area land map was also incorporated in consideration of this." }, "onlineresource_set": [] }, { "ob_id": 31797, "uuid": "96144175e7e0469fbfd18e72cf79c783", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/MS_UVAI/IMAGES/v1.7/", "numberOfFiles": 435, "volume": 41983458, "fileFormat": "Data are .png images", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31796, "uuid": "eb86b88f7de342b58febee098f9aa6d9", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Images of Aerosol Absorbing Index produced by the Multi-Sensor UVAI (MS UVAI) algorithm, Version 1.7", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises images of Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.7. Images are available for monthly and climatology products. The underlying data is available as a separate product.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31801, "uuid": "510741b1a3a14529aaa8ad1f377c5d99", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_SU/L3/v4.3/", "numberOfFiles": 3650, "volume": 5246351874, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27676, "uuid": "d12fc40e4f254ce38303157fa460f01c", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (SU algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly aerosol products from the AATSR instrument on the ENVISAT satellite, using the Swansea University (SU) algorithm, version 4.3. Data is available for the period 2002 - 2012.\r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31802, "uuid": "246b5811dffa4868af50bca1444391b0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_SU/L2/v4.3/", "numberOfFiles": 45507, "volume": 61852633425, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27677, "uuid": "b03b3887ad2f4d5481e7a39344239ab2", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the Swansea University (SU) algorithm, version 4.3. It covers the period from 2002 - 2012.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31803, "uuid": "6c49a5a5b4354a7bb5b080b7c735f222", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_SU/L3/v4.3/DAILY/", "numberOfFiles": 2660, "volume": 2181284569, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31804, "uuid": "694e21cce9a4491a933935d860f48e5a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_SU/L2/v4.3/", "numberOfFiles": 35869, "volume": 24968977864, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27682, "uuid": "a8b8191d62504acdb218d4767b446280", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (SU algorithm), Version 4.3", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the Swansea University (SU) algorithm, version 4.3. Data are available for the period 1995-2003.\r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31805, "uuid": "1a3132a8ba4f4eebb2172715e3e8a1d0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ORAC/L2/v4.01/", "numberOfFiles": 31883, "volume": 59269498153, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27686, "uuid": "04bc222136f7429eb04d3eb3543ef3e8", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ORAC algorithm, version 4.01. It covers the period from 1995-2003\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31806, "uuid": "30429207bf634d59ae77f61d8d7606cd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ORAC/L3/v4.01/", "numberOfFiles": 2331, "volume": 6894152285, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27687, "uuid": "d2ed0c005761475d92ca444666156c4a", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the ATSR-2 instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. The data covers the period from 1995 - 2003.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31807, "uuid": "df39ea86f86242b0b48f294e036a2b25", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/COVID19_emiss_reduc_study/data", "numberOfFiles": 8198, "volume": 1506332387555, "fileFormat": "The data are in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31800, "uuid": "b5ea7341a7164525b74143d8afe77223", "short_code": "ob", "title": "Global model data generated for COVID-19 simulations 2012-2014", "abstract": "Global model data has been generated for COVID-19 (Coronavirus Disease 2019) simulations. The model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only nudged configuration, with Met Office Unified Model version 11.5. The data is on a global N96 grid (192 x 144 points), and covers the years 2012, 2013, and 2014. These data were used to study the effect of COVID-19 lockdowns (simulated scenarios) on atmospheric composition and radiative forcing.\r\n\r\nThe dataset includes data used in the paper submitted to Geophysical Research Letters (GRL) August 2020 with title 'Minimal climate impacts from short-lived climate forcers following emission reductions related to the COVID-19 pandemic'. See Details/Docs tab for a link to this. For this purpose, there are four experimental integrations (a1, a2, a3, a4), and a control (con) for each year. The files are labelled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included docs/file variable_codes.txt.\r\n\r\nThe data are in NetCDF format, and were generated from the following suites: u-bt034, u-bt090, u-bt091, u-bt092, u-bt637, u-bt341, u-bt342, u-bt343, u-bt344, u-bt926, u-bt375, u-bt376, u-bt377, u-bt378, u-bt927. \r\n\r\nThis is a NERC funded project." }, "onlineresource_set": [] }, { "ob_id": 31808, "uuid": "fec18e989b1f4e4ba211d23536ae863e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ADV/L2/v2.31/", "numberOfFiles": 45692, "volume": 64873160703, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27678, "uuid": "9f6324ebe92940b989ebf273d5f8bf33", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ADV Algorithm), Version 2.31", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on ENVISAT, derived using the ADV algorithm, version 2.31. Data is available for the period 2002-2012.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31809, "uuid": "665505c12d9f43a7954f7acd6d4d2064", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ADV/L3/v2.31/", "numberOfFiles": 3578, "volume": 14552497534, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27679, "uuid": "ab90030e26c54ba495b1cbec51e137e1", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ADV algorithm), Version 2.31", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ADV algorithm, version 2.31. Data is available for the period from 2002 to 2012.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31810, "uuid": "bcea0d196e1240d4bab176139beb8f36", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ADV/L3/v2.31/", "numberOfFiles": 2379, "volume": 9685907685, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27684, "uuid": "302939d341fa4013b6d96d231d6d4f40", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ADV algorithm), Version 2.31", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ADV algorithm, version 2.31. It covers the period from 1995-2003.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31812, "uuid": "e33aaa3a98d6400e878c834daca10bd8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2020/franc/data/franc_um", "numberOfFiles": 867, "volume": 818300289217, "fileFormat": "Data are PP binary formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31811, "uuid": "b0c3f8b3db16434f80f833aa914e2bd4", "short_code": "ob", "title": "FRANC: Ensemble member output from UK Met Office Unified Model runs supporting analysis of convective-scale perturbation growth across a spectrum of convective regimes", "abstract": "Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): Ensemble member output from Unified Model runs as described in Flack et al. (2018): Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405\r\n\r\nThe dataset contains ensemble run output from 36 hour long runs under different model set ups (see details below) for 6 case studies (see Flack et al. 2018 for greater detail). The case studies (and model output available in the dataset) chosen related to a spectrum of 'convective adjustment time scales', defined as the ratio between the convective available potential energy (CAPE) and its rate of release at the convective scale. 'control' run files contain large scale rainfall rates and amounts whilst the 'control_multilevel' files contain various parameters on various levels, including mean sea level pressure, zonal, meridional and vertical wind components, specific humidity and temperature.\r\n\r\n- Case A: 20th April 2012, part of the Dynamical and Microphysical Evolution of Convective Storms (DYMECS) field experiment (Stein et al. 2015), showing typical conditions for scattered showers in the United Kingdom.\r\n- Case B: 12 August 2013, for a case where a surface low was situated over Scandinavia and the Azores high was beginning to build, leading to persistent northwesterly flow.\r\n- Case C: 23rd July 2013, relating to the fifth intensive observation period (IOP 5) of the Convective Precipitation Experiment (COPE; Leon et al. 2016). A low pressure system was centered to the west of the United Kingdom with several fronts ahead of the main center, which later decayed.\r\n- Case D: 2nd August 2013, covering IOP 10 of the COPE field campaign, with convection initiating at 1100 UTC. The synoptic situation shows a low pressure system centered to the west of Scotland, which led to southwesterly winds and a convergence line being set up along the North Cornish coastline (in southwest England).\r\n- Case E: 27th July 2013, covers the period of IOP 7 of the COPE field campaign where two mesoscale convective systems (MCS) influenced the U.K.’s weather throughout the forecast period.\r\n- Case F: 5th August 2013, was chosen for the complex situation for considering convective-scale perturbation grown and a second case driven by the boundary conditions as seen during IOP 12 of the COPE campaign\r\n\r\nA brief description of the model run IDs and model setup is given below.\r\n\r\nThe model used to create these ensembles is the Met Office Unified Model (MetUM). The United Kingdom Variable resolution (UKV) configuration is used, and so the data has a grid spacing of approximately 1.5 km. This was run at version 8.2 and run with the MetUM Graphical User Interface (GUI).\r\n\r\nrun ID: xkyib\r\n\r\nThis is the control experiment and everything is kept identical to the operational running of this configuration of the MetUM.\r\n\r\nrun ID: xldef\r\n\r\nHere the Gaussian potential temperature perturbations are added into the model. Full details of the perturbation method are described in Flack et al. (2018) Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405, however a brief overview is given below:\r\n\r\nA Gaussian distribution (defined using random numbers between +/- 1 at each grid point, with the seed determined by the time the model is ran) is created at every grid point in the domain. A superposition is created and rescaled to 0.1 K so as to be an appropriate amplitude for boundary layer noise. Each of the Gaussian distributions have a standard deviation of 9km so as to be added onto an appropriate scale for the model. The perturbations are added in at a model hybrid height of 261.6 m (approximately the 8th model level)." }, "onlineresource_set": [] }, { "ob_id": 31813, "uuid": "9427d77f6cbb4ed68cc702e8dc0b16b0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ADV/L2/v2.31/", "numberOfFiles": 29806, "volume": 20454978629, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27685, "uuid": "a7e11745933a4f37b5aa1d4b23d71a83", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ADV algorithm), Version 2.31", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ADV algorithm, version 2.31. Data are available for the period 1995-2002.\r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31814, "uuid": "d28975e9e4ff4d5db3a794f8871c6c52", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ENS/L3/v2.6/", "numberOfFiles": 3745, "volume": 2892309770, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27688, "uuid": "c183044b88734442b6d37f5c4f6b0092", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ensemble product), Version 2.6", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily, monthly and yearly gridded aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. In the early period, it also contains data from the ATSR-2 instrument on the ERS-2 satellite. A separate ATSR-2 product covering the period 1995-2001 is also available, and together these form a continuous timeseries from 1995-2012.\r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31815, "uuid": "25802c3f091c42ba89452cdafdb436fe", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/AATSR_ENS/L2/v2.6/", "numberOfFiles": 3456, "volume": 39327837426, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27689, "uuid": "cdcb0605afa74885a66d8be0fdd2ed24", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ensemble product), Version 2.6", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. \r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31816, "uuid": "7fb115df9622478bbeff10b057652a68", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ENS/L2/v2.6/", "numberOfFiles": 2256, "volume": 9890567551, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27690, "uuid": "4afb736dc395442aa9b327c11f0d704b", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ensemble product), Version 2.6", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 1995 to 2002. \r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31817, "uuid": "c2616de2b897458486fccbd19c74256b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/ATSR2_ENS/L3/v2.6/", "numberOfFiles": 2341, "volume": 1807060331, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27691, "uuid": "bf5eae2a052848aab2abf93d96e7e9aa", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ensemble product), Version 2.6", "abstract": "In the early period, it also contains data from the ATSR-2 instrument on the ERS-2 satellite.The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily, monthly and yearly aerosol products from the ATSR-2 instrument on the ERS-2 satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 1995 to 2002. In 2002, it also contains data from the AATSR instrument on the ENVISAT satellite. A separate AATSR product covering the period 2002-2012 is also available, and together these form a continuous timeseries from 1995-2012.\r\n\r\nFor further details about these data products please see the documentation." }, "onlineresource_set": [] }, { "ob_id": 31821, "uuid": "a925477c38634d518e53196866d42345", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/aerosol/data/GOMOS_AERGOM/L3/v3.00/", "numberOfFiles": 739, "volume": 3405646360, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 27692, "uuid": "7fb8fd2761484b1eae4f7df4a3e65f75", "short_code": "ob", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from GOMOS (AERGOM algorithm), Version 3.00", "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 gridded stratospheric aerosol properties from the GOMOS instrument on the ENVISAT satellite. This version of the data is version 3.00, and has been derived using the AERGOM algorithm by BIRA (Belgian Institute for Space Aeronomy). \r\n\r\nFor further details about these data products please see the linked documentation." }, "onlineresource_set": [] }, { "ob_id": 31824, "uuid": "db808d91a9e04e31abc67be5c6e6774e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/SLA/v1.1_202006/", "numberOfFiles": 245, "volume": 18429843152, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31822, "uuid": "222cf11f49a94d2da8a6da239df2efc4", "short_code": "ob", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions (2002-2018) from the JASON satellites, v1.1", "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the Jason-1, Jason -2 and Jason-3 satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). These six time series cover the period from 15 January 2002 to 30 May 2018.\r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). During the project, the product will be extended in spatial coverage and with additional altimeter missions. This version of the dataset is v1.1. (DOI: 10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005)" }, "onlineresource_set": [] }, { "ob_id": 31826, "uuid": "8b1aadcd187442f792d10b6d766bfe5a", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v1.1_202006/", "numberOfFiles": 430, "volume": 35241840, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31825, "uuid": "a386504aa8ae492f9f2af04c109346e9", "short_code": "ob", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): A database of coastal sea level anomalies and associated trends from Jason satellite altimetry from 2002 to 2018", "abstract": "This dataset contains 17-year-long (June 2002 to May 2018 ), high-resolution (20 Hz), along-track sea level dataset in coastal zones of six regions: Mediterranean Sea, Northeast Atlantic, West Africa, North Indian Ocean, Southeast Asia and Australia. Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales. \r\n\r\nThis dataset has been derived from the ESA SL_cci+ v1.1 dataset of coastal sea level anomalies (also available in the catalogue, DOI:10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005), which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series. This large amount of coastal sea level estimates has been further analysed to produce the present dataset: it consists in a selection of 429 portions of satellite tracks crossing land for which valid sea level time series are provided at monthly interval together with the associated sea level trends over the 17-year time span at each along-track 20-Hz point, from 20 km offshore to the coast.\r\n\r\nThe main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.\r\n\r\nThis dataset has a DOI: https://doi.org/10.17882/74354" }, "onlineresource_set": [] } ] }