Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=10100
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This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. 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This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. 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The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. 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The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. 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The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.\r\nDue to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50358, 50359, 50360, 50361, 50362, 50363, 50365, 50366, 50367, 50368, 50370, 50371, 50372, 50373, 62345, 62346, 62347 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "short_code": "coll", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps." } ], "responsiblepartyinfo_set": [ 215755, 215756, 215757, 215758, 215759, 215760, 215761, 215762, 215763 ], "onlineresource_set": [ 94407, 94408 ] }, { "ob_id": 45085, "uuid": "2600f842cfeb481bb21f032a5741c353", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 09.2", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v09.2 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 ACTIVE product. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": null, "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-03T12:35:34", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45140, "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7860905106, "numberOfFiles": 12124, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": { "ob_id": 12804, "startTime": "1991-08-05T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 3571, "explanation": "See the Soil Moisture CCI documentation for information on data quality", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-11-13" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43035, "uuid": "fbf9614e6168457580911dec3d77911b", "short_code": "cmppr", "title": "ESA Soil Moisture Climate Change Initiative: Retrieval of Soil Moisture using Active sensors for version 09.1 data.", "abstract": "The ESA Soil Moisture Climate Change Initiative is using Active and Passive Sensors to derive information on soil moisture. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT." }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2577, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 99, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13332, "uuid": "c256fcfeef24460ca6eb14bf0fe09572", "short_code": "proj", "title": "ESA Soil Moisture Climate Change Initiative Project", "abstract": "The European Space Agency Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project is part of the ESA Climate Change Initiative (CCI) programme, which aims to produce datasets of Essential Climate Variables (ECV's) from satellite datasets.\r\n\r\nThe Soil Moisture CCI project was set up to :\r\n - Analyse the needs of the climate research community in terms of soil moisture data.\r\n - Adapt soil moisture satellite measurements for their use by the climate research community.\r\n - Create a long-term consistent soil moisture time series, based on active and passive data, suitable for climate change studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52664, 52665, 54641, 54644, 54645, 54646, 54647, 54648, 54649, 62501, 62745 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45088, "uuid": "935c5f5035954a68ba0a2d25f54b17d1", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 09.2 data collection", "abstract": "Soil Moisture data (version 09.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31 and the ACTIVE product covering 1991-08-05 to 2024-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." } ], "responsiblepartyinfo_set": [ 215789, 215790, 215791, 215792, 215793, 215794, 215795, 215796, 215797, 215798, 215799, 215800, 215801, 215802, 215803, 215804, 215805, 215806, 215807, 215808 ], "onlineresource_set": [ 94413, 94414, 94415, 94416, 94417, 94418, 94419, 94420 ] }, { "ob_id": 45086, "uuid": "d4e66299f5054129b8076fb7502949e1", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 09.2", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v09.2 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 COMBINED product. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": null, "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, Soil Moisture, CCI, Combined", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-03T12:44:02", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45141, "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23696603475, "numberOfFiles": 16864, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": { "ob_id": 12806, "startTime": "1978-11-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 3572, "explanation": "See the Soil Moisture CCI documentation for information on data quality", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-11-13" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43041, "uuid": "44d1c75234a04a9a9569e0bad8d82c33", "short_code": "cmppr", "title": "ESA Soil Moisture Climate Change Initiative: Retrieval of Soil Moisture using combined active and passive sensors for version 09.1 data.", "abstract": "The ESA Soil Moisture Climate Change Initiative is using Active and Passive Sensors to derive information on soil moisture. The combined product uses information from both active and passive sensors." }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2577, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 99, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13332, "uuid": "c256fcfeef24460ca6eb14bf0fe09572", "short_code": "proj", "title": "ESA Soil Moisture Climate Change Initiative Project", "abstract": "The European Space Agency Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project is part of the ESA Climate Change Initiative (CCI) programme, which aims to produce datasets of Essential Climate Variables (ECV's) from satellite datasets.\r\n\r\nThe Soil Moisture CCI project was set up to :\r\n - Analyse the needs of the climate research community in terms of soil moisture data.\r\n - Adapt soil moisture satellite measurements for their use by the climate research community.\r\n - Create a long-term consistent soil moisture time series, based on active and passive data, suitable for climate change studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52664, 52665, 54641, 54646, 54647, 54648, 54649, 54650, 54651, 62501, 62745 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45088, "uuid": "935c5f5035954a68ba0a2d25f54b17d1", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 09.2 data collection", "abstract": "Soil Moisture data (version 09.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31 and the ACTIVE product covering 1991-08-05 to 2024-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." } ], "responsiblepartyinfo_set": [ 215809, 215810, 215811, 215812, 215813, 215814, 215815, 215816, 215817, 215818, 215819, 215820, 215821, 215822, 215823, 215824, 215825, 215826, 215827, 215828 ], "onlineresource_set": [ 94423, 94424, 94425, 94426, 94427, 94429, 94428, 94430 ] }, { "ob_id": 45087, "uuid": "c93c99588d5848b1ac7833e3bc6d5c2d", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.2", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v09.2 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 PASSIVE product. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": null, "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, CCI, Passive, Soil Moisture", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-03T12:40:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45142, "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21886294122, "numberOfFiles": 16864, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": { "ob_id": 12805, "startTime": "1978-11-01T00:00:00", "endTime": "2024-12-31T23:59:59" }, "resultQuality": { "ob_id": 3570, "explanation": "See the Soil Moisture CCI documentation for information on data quality", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-11-13" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43040, "uuid": "eabded7ffd304865b4de708dc83ffe6a", "short_code": "cmppr", "title": "ESA Soil Moisture Climate Change Initiative: Retrieval of Soil Moisture using Passive sensors for version 09.1 data.", "abstract": "The ESA Soil Moisture Climate Change Initiative is using Active and Passive Sensors to derive information on soil moisture. The passive product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments." }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2577, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 99, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13332, "uuid": "c256fcfeef24460ca6eb14bf0fe09572", "short_code": "proj", "title": "ESA Soil Moisture Climate Change Initiative Project", "abstract": "The European Space Agency Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project is part of the ESA Climate Change Initiative (CCI) programme, which aims to produce datasets of Essential Climate Variables (ECV's) from satellite datasets.\r\n\r\nThe Soil Moisture CCI project was set up to :\r\n - Analyse the needs of the climate research community in terms of soil moisture data.\r\n - Adapt soil moisture satellite measurements for their use by the climate research community.\r\n - Create a long-term consistent soil moisture time series, based on active and passive data, suitable for climate change studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52664, 52665, 54641, 54646, 54647, 54648, 54649, 54650, 54651, 62501, 62745 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45088, "uuid": "935c5f5035954a68ba0a2d25f54b17d1", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 09.2 data collection", "abstract": "Soil Moisture data (version 09.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31 and the ACTIVE product covering 1991-08-05 to 2024-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." } ], "responsiblepartyinfo_set": [ 215834, 215835, 215836, 215829, 215830, 215831, 215832, 215833, 215837, 215838, 215839, 215840, 215841, 215842, 215843, 215844, 215845, 215846, 215847, 215848 ], "onlineresource_set": [ 94439, 94433, 94434, 94435, 94440, 94436, 94437, 94438 ] }, { "ob_id": 45105, "uuid": "9487085a6a3d4ca1aafa7c569e840d2a", "title": "GloSAT historical1750 simulations : UKESM1-1-LL simulations covering the period 1750-2014", "abstract": "The Global Surface Air Temperature (GloSAT) model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL UK Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\nThe simulations were run under the NERC funded project GloSAT. NE/S015647/2\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters,650, accepted.\r\n\r\nThis dataset contains 100 monthly variables for 6 historical 1750 ensemble members in CMOR CMIP6 netcdf data format (Climate Model Output Rewriter Coupled Model Intercomparison Project 6).", "creationDate": "2025-11-18T14:50:04.575585", "lastUpdatedDate": "2025-11-26T09:15:16", "latestDataUpdateTime": "2025-11-18T14:50:04", "updateFrequency": "notPlanned", "dataLineage": "This work used the ARCHER2 UK National Supercomputing Service, and Monsoon2, a collaborative High-Performance Computing facility funded by the Met Office and the Natural Environment Research Council, and JASMIN, the UK collaborative data analysis facility.\r\n\r\nUKESM1.1 simulations were performed on the HPC by Dr A. Schurer with data processed on JASMIN using the CDDS package by Dr A Schurer.\r\n\r\nData were then uploaded to the CEDA archive.", "removedDataReason": "", "keywords": "GloSAT,Climate model,UKESM1.1-LL", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-19T11:21:58", "doiPublishedTime": "2025-12-19T11:58:14", "removedDataTime": null, "geographicExtent": { "ob_id": 4936, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45211, "dataPath": "/badc/glosat/data/GloSAT_historical1750", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2589423723850, "numberOfFiles": 1982, "fileFormat": "CMOR CMIP6 NetCDF" }, "timePeriod": { "ob_id": 12818, "startTime": "1750-01-01T00:00:00", "endTime": "2014-12-31T00:00:00" }, "resultQuality": { "ob_id": 4825, "explanation": "Model simulations were checked by co-authors during the simulation process.The CDDS conversion package used to produce the files contains several in built data quality checks.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-11-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44917, "uuid": "09f6377c9f344f1ba0e92ce082c69e42", "short_code": "comp", "title": "UK Earth System Model (UKESM) version 1, UKESM1-1-LL model run for GloSAT project.", "abstract": "The GloSAT model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters,\r\n650, accepted." }, "procedureCompositeProcess": null, "imageDetails": [ 236 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 44102, "uuid": "528e0655f87d4e1a8a98993befb0e685", "short_code": "proj", "title": "Global Surface Air Temperature (GloSAT)", "abstract": "The goal of the GloSAT project was to develop, extend and analyse a consistent record of observed global surface temperatures to help scientists better understand how the Earth's climate has changed since the late 18th century. GloSAT developed a temperature record based on in situ air temperature observations over land and ocean. Prior instrumental records of global mean surface temperature change combine air temperature over land and terrestrial ice-covered regions with sea surface temperature readings, typically with start dates around the mid-19th century. GloSAT extends the instrumental global temperature record further back to the late 18th century through use of marine air temperature measurements, combined with improved understanding of measurement uncertainties affecting land and ocean data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 10024, 11046, 27828, 27829, 50415, 50417, 50418, 50419, 50426, 50427, 50429, 50431, 50435, 50445, 50468, 50475, 50481, 50496, 50498, 50542, 50543, 50549, 50554, 50555, 50557, 50564, 50566, 50567, 50568, 50569, 50570, 50571, 50572, 50575, 50577, 50578, 50579, 50581, 50582, 50583, 50586, 50587, 50588, 50589, 50590, 50591, 50592, 50596, 50597, 50598, 50599, 50600, 50602, 50604, 50605, 50609, 50610, 50611, 50612, 50613, 50614, 50615, 50616, 50617, 50618, 50620, 50621, 50622, 52746, 52751, 52755, 53111, 53134, 54215, 54223, 54224, 54227, 54228, 54231, 54243, 54252, 54257, 54258, 54265, 54267, 54277, 54278, 54279, 54285, 54299, 54302, 54310, 54342, 54348, 54350, 54399, 54400, 54415, 54421, 54440, 54484, 54493, 54625, 54626, 59480, 59481, 60438, 62525, 62736, 62738, 71572, 71573, 71574, 71615, 71665, 71858, 79954, 80111, 82153 ], "vocabularyKeywords": [], "identifier_set": [ 13684 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 215903, 215904, 215905, 215906, 215907, 215908, 215953, 216394, 215954, 215955, 215956, 215957, 215958, 215959 ], "onlineresource_set": [] }, { "ob_id": 45114, "uuid": "f5f541ce05c44062a39d9a0e9e9463bc", "title": "Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.13 (v20251121)", "abstract": "Data for Figure 9.13 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 9.13 shows Arctic sea ice historical records and CMIP6 projections. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nFox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n- (Left panel) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. \r\n- (Right panel) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. \r\n\r\nFirst column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010-2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.13\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nExtracted from 'mapplot_data.npz':\r\n - Data file: nmodels_ssp245_nh_nhsummer.nc\r\n - Data file: nmodels_ssp245_nh_nhwinter.nc\r\n - Data file: nmodels_ssp245_sh_nhsummer.nc\r\n - Data file: nmodels_ssp245_sh_nhwinter.nc\r\n - Data file: sic_obs_nh_nhsummer.nc\r\n - Data file: sic_obs_nh_nhwinter.nc\r\n - Data file: sic_obs_sh_nhsummer.nc\r\n - Data file: sic_obs_sh_nhwinter.nc\r\n\r\nData from the datafile 'mapplot_data.npz' included in the 'Plotted Data' folder of the dedicated GitHub repository has been extracted in NetCDF format for archival by the authors. The original .npz file is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universtität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9\r\n- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.\r\n- Link to the output data and scripts for this figure, contained in a dedicated GitHub repository.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI).\r\nData curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).", "removedDataReason": "", "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Arctic, sea ice", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-09T11:34:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45115, "dataPath": "/badc/ar6_wg1/data/ch_09/ch9_fig13/v20251121", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12431664, "numberOfFiles": 16, "fileFormat": "NetCDF, txt" }, "timePeriod": { "ob_id": 10416, "startTime": "1979-01-01T00:00:00", "endTime": "2054-12-31T23:59:59" }, "resultQuality": { "ob_id": 4204, "explanation": "Data as provided by the IPCC", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2023-02-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 39705, "uuid": "22beeb711b9d4f979a9a1f77f2de2869", "short_code": "comp", "title": "Caption for Figure 9.13 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)", "abstract": "Arctic sea ice historical records and Coupled Model Intercomparison Project Phase 6 (CMIP6) projections. (left) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. (right) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. First column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010–2019. Third column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. Fourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. The average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. Further details on data sources and processing are available in the chapter data table (Table 9.SM.9)." }, "procedureCompositeProcess": null, "imageDetails": [ 218 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 32705, "uuid": "3234e9111d4f4354af00c3aaecd879b7", "short_code": "proj", "title": "Climate Change 2021: The Physical Science Basis. Working Group I Contribution to the IPCC Sixth Assessment Report", "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n\r\nThe initiative to archive the data (and code) from the Climate Change 2021: The Physical Science Basis report was a collective effort with many contributors. We thank the Working Group I Co-Chairs for their long-standing support. We also extend our gratitude to the members of the IPCC Task Group on Data Support for Climate Change Assessments (TG-Data) for their constant guidance and encouragement, including its Co-chairs, David Huard and Sebastian Vicuna. \r\n\r\nFor the implementation of the initiative, we recognise project management from Anna Pirani and Robin Matthews of the Working Group I TSU (WGI TSU). For contributing data and metadata for archival, we gratefully acknowledge the numerous WGI Authors and Chapter Scientists. In particular, we highlight the efforts of Katherine Dooley, Lisa Bock, Malinina-Rieger Elizaveta, Chaincy Kuo and Chris Smith for their major contributions.\r\n\r\nFor assistance with preparing data, code and the accompanying metadata for archival and publication, we extend our considerable appreciation to the dedicated contractor, Lina Sitz, along with Diego Cammarano and Özge Yelekçi from the WGI TSU. For the subsequent archival of figure data, we are indebted to Charlotte Pascoe, Kate Winfield, Ellie Fisher, Molly MacRae, and Emily Anderson from the UK Centre for Environmental Data Analysis (CEDA).\r\n\r\nFor the archival of the climate model data used as input to the report, we gratefully acknowledge Martina Stockhause of the German Climate Computing Center (DKRZ). For the development and support of software for data and code archival, we thank Tim Waterfield of the WGI TSU. For administrative contributions to the initiative we thank Clotilde Pean of the WGI TSU and Martin Juckes from CEDA. For the transfer of metadata to the IPCC data catalogue, we thank MetadataWorks. Finally, we gratefully acknowledge funding support from the Governments of France, the United Kingdom and Germany, without which data and code archival would not have been possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 18405, 18408, 50559, 50561, 60438, 63599, 63600, 63601, 63602, 63603, 63604, 63605, 63606, 63607, 63608, 63609, 63610, 63611, 92740, 92741, 92742, 92743, 92744 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 32725, "uuid": "d75f0692e2594df8af882c04db5ba3fe", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Chapter 9: Ocean, cryosphere, and sea level change", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Chapter 9: Ocean, cryosphere, and sea level change.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure 9.3\r\n- data for Figure 9.4\r\n- data for Figure 9.5\r\n- data for Figure 9.6\r\n- data for Figure 9.7\r\n- data for Figure 9.9\r\n- data for Figure 9.10\r\n- data for Figure 9.11\r\n- data for Figure 9.12\r\n- data for Figure 9.13\r\n- data for Figure 9.14\r\n- data for Figure 9.15\r\n- data for Figure 9.22\r\n- data for Figure 9.24\r\n- data for Figure 9.26\r\n- data for Figure 9.28\r\n- data for Figure 9.29\r\n- data for Figure 9.30\r\n- data for Figure 9.32\r\n- data for Cross-Chapter Box 9.1, Figure 1\r\n- input data for Cross-Chapter Box 9.1, Figure 1" } ], "responsiblepartyinfo_set": [ 215943, 215944, 215945, 215946, 215947, 215948, 215949, 215950, 215951 ], "onlineresource_set": [ 94492, 94488, 94489, 94490, 94491, 94493 ] }, { "ob_id": 45143, "uuid": "450e23e4aaf445199d25d21719d78853", "title": "Sources of Fine Particulate Matter (PM2.5) at urban sites in the UK", "abstract": "PM₂.₅ sources were identified at the Birmingham Air Quality Supersite (BAQS) and Ladywood during 2021–2022 as part of the WM-Air (West Midlands Air Quality Improvement Programme). 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We applied task farming to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. We implemented and evaluated the option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming. The approach has been tested for a large model domain covering the West Midlands, UK, as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. 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We applied task farming to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. We implemented and evaluated the option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming. The approach has been tested for a large model domain covering the West Midlands, UK, as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. Annual air quality maps for the baseline and modelling scenarios have been generated.", "creationDate": "2025-11-29T21:22:07.456675", "lastUpdatedDate": "2025-11-29T21:22:07.456678", "latestDataUpdateTime": "2025-11-29T21:22:07.456680", "updateFrequency": "notPlanned", "dataLineage": "Air quality map in .tif format", "removedDataReason": "", "keywords": "Air quality modelling,ADMS-Urban,High Performance Computing,West Midlands", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4949, "bboxName": "", "eastBoundLongitude": -1.41, "westBoundLongitude": -2.2, "southBoundLatitude": 52.33, "northBoundLatitude": 52.66 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12831, "startTime": "2016-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4842, "explanation": "The model has been evaluated against local air quality sites (i.e., airport, roadside and urban background sites).", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-11-29" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 45144, "uuid": "281abbdda6ad4dc0a3e95dac0c3e68fb", "short_code": "proj", "title": "WM-Air (the West Midlands Air Quality Improvement Programme)", "abstract": "WM-Air was designed to support the improvement of air quality, and associated health, environmental and economic benefits, across the West Midlands" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216098, 216099, 216100, 216101, 216102, 216103, 216104, 216105, 216106 ], "onlineresource_set": [ 94513, 94514, 94515 ] }, { "ob_id": 45165, "uuid": "2e410be04eab4cbeab246249cfd8ef88", "title": "OLC-ORS-V0", "abstract": "Volumetric soil moisture content-in-situ site data, blended offline LSMs, reanalysis, and satellite data from RUBISCO Soil Moisture Working Group. Hybrid gridded products are generated using various statistical methods without involving any direct measurement techniques. See the latest paper in Scientific Data [link below].", "creationDate": "2025-12-05T13:58:54.176050", "lastUpdatedDate": "2025-12-05T14:32:35.814054", "latestDataUpdateTime": "2025-12-05T13:58:54.176062", "updateFrequency": "notPlanned", "dataLineage": "Original dataset was prepared by the team at Oak Ridge National Laboratory using blended offline LSMs, reanalysis, and satellite data. This dataset was then post-processed by Yaoping Wang using CMOR 3.10", "removedDataReason": "", "keywords": "obs4MIPs,obs4REF,RUBISCO,soil moisture,LSM,hybrid,volumetric", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4950, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12837, "startTime": "1970-01-01T00:00:00", "endTime": "2016-12-31T00:00:00" }, "resultQuality": { "ob_id": 4843, "explanation": "Dataset post-processed using CMOR inline with ODS2.6 and CF Conventions 1.12", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216112, 216113, 216114, 216115, 216116, 216117, 216118, 216119, 216120, 216121 ], "onlineresource_set": [ 94520, 94521, 94522, 94523 ] }, { "ob_id": 45166, "uuid": "4741ec97737442e8abbef4c9fe3e5bbf", "title": "MGOHCTA-WOA09", "abstract": "Ocean Heat Content (ohc) 10E22 joules -Gridded in-situ. World Ocean Atlas 2009 mean climatological fields for years 1955-2010 as a basis for anomaly calculations, data taken from Expendable Bathythermographs (XBT) and Mechanical Bathythermographs (MBT), and Argo floats.\r\nData for temperature and salinity observations, temperature and salinity anomaly fields for depths 0-2000m, heat content and steric sea level (thermosteric, halosteric, total) are updated quarterly. Temperature anomalies and heat content fields are detailed in World Ocean Heat Content and Thermosteric Sea Level change (0-2000 m), 1955-2010, publication. The same calculations have been extended to keep the fields current and include fields of salinity anomalies, and steric sea level components", "creationDate": "2025-12-05T14:26:46.889427", "lastUpdatedDate": "2025-12-05T14:33:55.325374", "latestDataUpdateTime": "2025-12-05T14:26:46.889431", "updateFrequency": "notPlanned", "dataLineage": "Original dataset prepared by National Centres for Environmental Information, and post-processed by CMIP IPO to be added to the obs4MIPs repository in ESGF.", "removedDataReason": "", "keywords": "obs4MIPs,obs4REF,ocean heat content,ohc,WOA,anomaly,Argo,XBT,MBT,temperature,salinity", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4951, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12838, "startTime": "1955-01-01T00:00:00", "endTime": "2010-01-31T00:00:00" }, "resultQuality": { "ob_id": 4844, "explanation": "Dataset post-processed using CMOR 3.10, as per ODS2.6 and CF conventions 1.12 by the CMIP IPO", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216122, 216123, 216124, 216125, 216126, 216127, 216128, 216129, 216130, 216131, 216132, 216133, 216134 ], "onlineresource_set": [ 94524, 94525, 94526 ] }, { "ob_id": 45168, "uuid": "e3f42bece9364be3a5653f4c71f2905c", "title": "NCEO aboveground biomass maps for years 2007-2010 & 2015-2017 (v1.0)", "abstract": "The product contains maps of aboveground biomass (AGB) estimates and their uncertainty (AGB standard deviation) in the African continent at 100m spatial resolution for years 2007, 2008, 2009, 2010, 2015, 2016, 2017. The maps are in GEOTIFF format and the unit of pixel values is ton per hectare. \r\n\r\nDetails of the methods for data production are provided in the following paper:\r\nRodríguez-Veiga, P., Carreiras, J.M.B., Quegan, S. et al. Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Sci Rep 15, 41744 (2025). https://doi.org/10.1038/s41598-025-27462-3", "creationDate": "2025-12-08T13:23:24.305753", "lastUpdatedDate": "2025-12-08T13:41:23.222266", "latestDataUpdateTime": "2025-12-08T13:23:24.305758", "updateFrequency": "notPlanned", "dataLineage": "Aboveground biomass (AGB) was estimated using satellite-based canopy estimates and ground-based tree height and AGB data. Input data for modelling canopy height are HH and HV backscatter from ALOS PALSAR 1 and 2 and tree cover fraction from Landsat. Relative height 100% from spaceborne LiDAR GEDI was used for training. An empirical model, built with field and ALS data, was used for converting canopy height to aboveground biomass.", "removedDataReason": "", "keywords": "Forests,Biomass,Carbon,Africa,Climate", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4956, "bboxName": "", "eastBoundLongitude": 51.8642329286, "westBoundLongitude": -18.2735295096, "southBoundLatitude": -35.0540590169, "northBoundLatitude": 37.7310385636 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12844, "startTime": "2007-01-01T00:00:00", "endTime": "2017-12-31T00:00:00" }, "resultQuality": { "ob_id": 4846, "explanation": "Product validation has been carried out as described in the paper Rodriguez-Veiga et al, 2025.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-08" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 45169, "uuid": "5dd74fca610b4226a1b325d1c5726e2c", "short_code": "proj", "title": "Long-term Single Centre Science (LTSS)", "abstract": "" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216135, 216136, 216137, 216138, 216139, 216140, 216144, 216145, 216146, 216147, 216148 ], "onlineresource_set": [ 94531 ] }, { "ob_id": 45174, "uuid": "543bea782a664a9cb044b1cfd82d31fe", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Altimetry-based River Discharge product, v2.0", "abstract": "This dataset comprises the altimetry-based river discharge (RD-ALTI) Climate Research Data Package (CRDP), derived from nadir radar altimeter missions by the ESA CCI River Discharge precursor project (RD_cci). \r\n\r\nIt provides long-term satellite river discharge (RD) time series at specified locations (defined in the \"Selection of river basins\" document, available at https://climate.esa.int/documents/2189/D2_CCI-Discharge-0004-RP_WP2_v1-1.pdf) River discharge (in m3/s) corresponds to the water volume passing through the river cross-section per unit of time. In this dataset, it is computed from a rating curve applied to long-term satellite altimeter water surface elevation (WSE) from https://catalogue.ceda.ac.uk/uuid/c5f0aa806ec444b4a4209b49efc4bb65. The rating curve is obtained by fitting the relationship between in-situ discharge and altimeter WSE with a power law following a Bayesian approach.", "creationDate": "2023-12-06T08:01:27.903402", "lastUpdatedDate": "2023-12-06T08:00:25", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the River Discharge CCI precursor project team, comprising Hydro Matters, LEGOS, and EOLA.\r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the CCI Open Data Portal in the context of the CCI Knowledge Exchange Project.", "removedDataReason": "", "keywords": "CCI, River Discharge, Altimeter", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 11812, "startTime": "1992-12-24T00:00:00", "endTime": "2023-09-18T23:59:59" }, "resultQuality": { "ob_id": 4580, "explanation": "For information on the data quality see the project documentation", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2024-07-02" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43053, "uuid": "a2fc28adb5724014af898b19e4e24cb1", "short_code": "comp", "title": "Computation for the ESA River Discharge Climate Change Initiative (RD_cci): Altimetry-based River Discharge product, v1.0", "abstract": "Long-term satellite river discharge (RD) time series have been derived at specified locations[1], utilizing the methodology outlined in detail in [2]. \r\n\r\nIn this context, river discharge represents the discharge in cubic meters per second (m3/s) obtained through the rating curve computation facilitated by in-situ discharge and water surface elevation (WSE) merged time series, as computed in [2] over the calibration period (individually defined for each station and summarized in the ATBD [3])\r\n\r\n[1] D.2 Selection of river basins. CCI River Discharge precursor project Document (CCI-Discharge-0004-RP_WP2, Issue 1.0)\r\n[2] D.3. Water Surface Elevation (WL) Algorithm Theoretical Basis Document (ATBD) (CCI-Discharge-0005-ATBD_WL, Issue 1.1)\r\n[3] D.3. River Discharge (Q) from Altimeters and Ancillary data, multispectral images and data combination - Algorithm Theoretical Basis Document (ATBD) (CCI-Discharge-0012-ATBD, Issue 1.1)" }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 41537, "uuid": "dbba9cfe8d104648b19e39f4c2da1a27", "short_code": "proj", "title": "ESA River Discharge Climate Change Initiative (RD_cci)", "abstract": "The ESA river discharge Climate Change Initiative project aims to derive long term climate data records (at least over 20-years) of river discharge for some selected river basins (and some locations in the river network) using satellite remote sensing observations (altimetry and multispectral images) and ancillary data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216163, 216164, 216165, 216159, 216160, 216166, 216161, 216162, 216167, 216168, 216169, 216170, 216171, 216172 ], "onlineresource_set": [ 94532, 94533, 94534, 94535, 94536, 94537, 94538, 94539 ] }, { "ob_id": 45175, "uuid": "4d3dbae68be14f9787f7371b25f80156", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v2.0", "abstract": "This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci). \r\n\r\nThese river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series. These multi-mission, multispectral time series are also referred to as CM. The river discharges are derived following several approaches:\r\n\r\nCalibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCalibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nUncalibrated CM approach – CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series.", "creationDate": "2023-12-06T08:01:27.903402", "lastUpdatedDate": "2023-12-06T08:00:25", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.", "removedDataReason": "", "keywords": "river discharge, CCI, multispectral", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 11887, "startTime": "1999-10-03T00:00:00", "endTime": "2023-09-30T23:59:59" }, "resultQuality": { "ob_id": 4605, "explanation": "For information on data quality see the project documentation", "passesTest": true, "resultTitle": "CCI generic", "date": "2024-10-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43210, "uuid": "d24707d0fbfa4179bf2c52f652952800", "short_code": "cmppr", "title": "Composite process for the ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v1.2", "abstract": "River discharge (Q) data has been derived in cubic meters per second (m3/s) by the ESA Climate Change Initiative River Discharge project (RD_cci). These multispectral indices-based river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series.\r\n\r\nThe river discharges are derived following several approaches:\r\n\r\nBestFit: by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCopula: by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nuncalCDF: by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series." }, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 41537, "uuid": "dbba9cfe8d104648b19e39f4c2da1a27", "short_code": "proj", "title": "ESA River Discharge Climate Change Initiative (RD_cci)", "abstract": "The ESA river discharge Climate Change Initiative project aims to derive long term climate data records (at least over 20-years) of river discharge for some selected river basins (and some locations in the river network) using satellite remote sensing observations (altimetry and multispectral images) and ancillary data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216173, 216174, 216175, 216180, 216176, 216177, 216178, 216179, 216181, 216182, 216183 ], "onlineresource_set": [ 94540, 94541, 94542, 94543 ] }, { "ob_id": 45176, "uuid": "dee2de144465463280d3d91fdea0375a", "title": "ESA River Discharge Climate Change Initiative (RD_cci): New product", "abstract": "To be written", "creationDate": "2023-12-06T08:01:27.903402", "lastUpdatedDate": "2023-12-06T08:00:25", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.", "removedDataReason": "", "keywords": "river discharge, CCI, multispectral", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 11887, "startTime": "1999-10-03T00:00:00", "endTime": "2023-09-30T23:59:59" }, "resultQuality": { "ob_id": 4605, "explanation": "For information on data quality see the project documentation", "passesTest": true, "resultTitle": "CCI generic", "date": "2024-10-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43210, "uuid": "d24707d0fbfa4179bf2c52f652952800", "short_code": "cmppr", "title": "Composite process for the ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v1.2", "abstract": "River discharge (Q) data has been derived in cubic meters per second (m3/s) by the ESA Climate Change Initiative River Discharge project (RD_cci). These multispectral indices-based river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series.\r\n\r\nThe river discharges are derived following several approaches:\r\n\r\nBestFit: by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCopula: by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nuncalCDF: by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series." }, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 41537, "uuid": "dbba9cfe8d104648b19e39f4c2da1a27", "short_code": "proj", "title": "ESA River Discharge Climate Change Initiative (RD_cci)", "abstract": "The ESA river discharge Climate Change Initiative project aims to derive long term climate data records (at least over 20-years) of river discharge for some selected river basins (and some locations in the river network) using satellite remote sensing observations (altimetry and multispectral images) and ancillary data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216184, 216185, 216187, 216186, 216188, 216189, 216190, 216191, 216192, 216193, 216194 ], "onlineresource_set": [ 94544, 94545, 94546, 94547 ] }, { "ob_id": 45177, "uuid": "4be5091f70f04e50b1c1da79d2d89a97", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): New network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2021, v3.0", "abstract": "This dataset contains a 19.5-year-long (January 2002 to June 2021), high-resolution (20 Hz), along-track sea level dataset in most of the world coastal zones, including tropical islands. It has been developed within the sea level project of the European Space Agency (ESA) Climate Change Initiative (SL_cci). \r\n\r\nThe main objective of this dataset is to analyze the sea level trends as well as the inter-annual variability at local scale at an average of less than 2.5km from the coastline. It provides essential information in areas devoid of other sources of measurements, and it also allows filling the gaps in existing timeseries of tide gauges located nearby the stations.\r\n\r\nThis dataset of coastal sea level anomalies 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.\r\n\r\nThis large amount of coastal sea level estimates has been further analysed to produce the present dataset: a total of 1634 altimetry-based virtual coastal stations have been selected and sea level anomalies time series together with associated coastal sea level trends have been computed over the study time span.\r\n\r\nThe new updated version (v3.0; June 2025) of along-track coastal sea level time series and associated trends from January 2002 to June 2021 differs from the previous v2.4 product (released in November 2024) by a spatial extension. It also uses the new improved FES22 ocean tide model instead of FES14 model in the previous versions. The data editing (outlier removal) has slightly evolved, and a new variable has been added (sla_mean_10pts_filt). We strongly recommend the users to use this latest v3.0 product.\r\n\r\nFor the latest version of the documentation, see the 'Technical Coastal Sea Level' Key Documents section of the project's website (https://climate.esa.int/en/projects/sea-level/).\r\nThis dataset is v3.0 of the data and is a copy of the v3.0 data published on the SEANOE (SEA scieNtific Open data Edition) website (https://doi.org/10.17882/74354#122284).\r\n\r\nThe dataset should be cited as: Cazenave Anny, Gouzenes Yvan, Leclercq Lancelot, Birol Florence, Legér Fabien, Passaro Marcello, Calafat Francisco M, Shaw Andrew, Niño Fernando, Legeais Jean François, Oelsmann Julius, Benveniste Jérôme, Connors Sarah (2025). New network of virtual altimetry stations for measuring sea level along the world coastlines. SEANOE. https://doi.org/10.17882/74354\r\n\r\nIn addition, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :\r\n\r\n- Cazenave Anny, Gouzenes Yvan, Birol Florence, Leger Fabien, Passaro Marcello, Calafat Francisco M., Shaw Andrew, Nino Fernando, Legeais Jean François, Oelsmann Julius, Restano Marco, Benveniste Jérôme (2022). Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Communications Earth & Environment, 3 (1). https://doi.org/10.1038/s43247-022-00448-z\r\n\r\n- Benveniste Jérôme, Birol Florence, Calafat Francisco, Cazenave Anny, Dieng Habib, Gouzenes Yvan, Legeais Jean François, Léger Fabien, Niño Fernando, Passaro Marcello, Schwatke Christian, Shaw Andrew (2020). Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Scientific Data, 7 (1). https://doi.org/10.1038/s41597-020-00694-w", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative. The data has been archived on https://www.seanoe.org with a doi of https://doi.org/10.17882/74354#122284. A copy has been transferred to CEDA as part of the ESA CCI Open Data Portal project.", "removedDataReason": "", "keywords": "ESA CCI, SLA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-17T15:13:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45181, "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 583939728, "numberOfFiles": 1547, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12857, "startTime": "2002-01-01T00:00:00", "endTime": "2021-06-30T23:59:59" }, "resultQuality": { "ob_id": 4858, "explanation": "The SL_cci+ XTRACK/ALES product (v3.0) has been produced based on the L2 altimeter algorithms recommended by the SL_cci.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 31954, "uuid": "d54de4d2c9384557aebe9092144d9209", "short_code": "cmppr", "title": "Composite process for the ESA Sea Level CCI Altimeter coastal sea level anomalies datasets based on XTRACK/ALES processing.", "abstract": "The coastal sea level data products are based on a complete reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 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 at monthly interval, from 20 km offshore to the coast" }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2584, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 47, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sealevel_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13331, "uuid": "a0a6fa39470a4a7baf847e3a1751f950", "short_code": "proj", "title": "ESA Sea Level Climate Change Initiative Project", "abstract": "The European Space Agency (ESA) Sea Level Climate Change Initiative (Sea_Level_cci) project is part of the ESA's Climate Change Initiative programme. \r\n\r\nIn the first phases of the CCI programme, the Sea Level project produced and validated global sea level Essential Climate Variable (ECV) products.\r\n\r\nIn the current phase, the objective is to produce a long-term and homogeneous sea level record as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar as the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50415, 50417, 62546, 66830, 92558, 92559, 92560, 92561, 92562, 92563, 92564 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12684, "uuid": "56c94cb1410f4f2b8a41729c0e558617", "short_code": "coll", "title": "ESA Sea Level Climate Change Initiative (Sea Level CCI) dataset collection", "abstract": "As part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme, the Sea Level CCI project has produced a set of gridded multi-satellite merged products relating to the Sea Level Essential Climate Variable (ECV). These consist of a) a time series of monthly gridded Sea Level Anomalies (SLA) and b) Oceanic Indicators describing the evolution of the sea level anomalies.\r\n\r\nSea surface heights are measured above (or below) some reference level by altimeter satellites, surface height being the difference between a satellites position in orbit with respect to an arbitrary reference surface (the Earth's centre or a rough approximation of the Earth's surface: the reference ellipsoid) and the satellite-to-surface range (calculated by measuring the time taken for the signal to make the round trip). Through sending a microwave pulse to the ocean's surface, the satellites measured the surface heights through measuring the time taken for the pulse to return. \r\n\r\nThe current version is v1.1, and covers the period January 1993 - December 2014, and has been derived from the main altimeter missions: ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1, Jason-2 and Geosat-Follow-On. A detailed description of the SL CCI project and the products can be found in Ablain et al., 2014, and further information is also provided in the Product User Guide. \r\n\r\nThe following DOI can be used to reference the product database (all products in the V1.1 release (as of December 2015)): DOI:10.5270/esa-sea_level_cci-1993_2014-v_1.1-201512. \r\n\r\n When using or referring to the SL_cci products, please mention the associated DOI (see above and the individual datasets) and also use the following citation where a detailed description of the SL_cci project and products can be found:\r\n\r\nAblain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., Fernandes, M. J., Henry, O., Johannessen, J. A., Knudsen, P., Andersen, O., Legeais, J., Meyssignac, B., Picot, N., Roca, M., Rudenko, S., Scharffenberg, M. G., Stammer, D., Timms, G., and Benveniste, J.: Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project, Ocean Sci., 11, 67-82, doi:10.5194/os-11-67-2015, 2015.\r\n\r\nFor further information on the Sea Level CCI products, and to register your interest with the CCI team please email: info-sealevel@esa-sealevel-cci.org" } ], "responsiblepartyinfo_set": [ 216195, 216196, 216197, 216198, 216199, 216200, 216201, 216202, 216203, 216214, 216204, 216205, 216206, 216207, 216208, 216209, 216210, 216211, 216212, 216213 ], "onlineresource_set": [ 94548, 94551, 94549, 94550, 94552, 94553, 94554 ] }, { "ob_id": 45178, "uuid": "1ee84eb83cf8406e8ec86f914aaf172d", "title": "Crowd-Grid Gridded Climate Observations on a 1km grid over the UK (2013-2024, v1.0, prototype)", "abstract": "The Crowd-Grid dataset comprises daily maximum/minimum temperature grids spanning the period 01/01/2013 to 31/12/2024 at 1km resolution for the UK. Crowd-Grid uses crowdsourced observations from WOW (the UK Met Office Weather Observation Website) and other sources to give a more detailed view of the temperatures people experience, including in built-up areas.\r\n\r\nThis dataset differs from and complements the \"standard\" gridded dataset, HadUK-Grid, the Met Office’s official climate record. HadUK-Grid uses the Met Office's network of calibrated instruments to give the UK's official record of temperature and is typically representative of grassy fields and parks. Crowd-Grid adds crowdsourced observations to give a more detailed view of the temperatures people experience, including in built-up areas.\r\n\r\nFor further details on the dataset and its interpretation, refer to the provided README (doi:10.5281/zenodo.17787357).", "creationDate": "2025-12-11T09:14:48.942640", "lastUpdatedDate": "2025-12-11T09:15:16", "latestDataUpdateTime": "2025-12-11T09:14:48", "updateFrequency": "notPlanned", "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataReason": "", "keywords": "Met Office,Land Surface,Climate Observations,MIDAS,WOW,UK,Meteorology,Temperature,Daily,Diurnal", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-18T16:06:00", "doiPublishedTime": "2025-12-18T16:12:25.498563", "removedDataTime": null, "geographicExtent": { "ob_id": 4958, "bboxName": "", "eastBoundLongitude": 4.59, "westBoundLongitude": -12.61, "southBoundLatitude": 48.83, "northBoundLatitude": 60.86 }, "verticalExtent": null, "result_field": { "ob_id": 45192, "dataPath": "/badc/crowd-grid/data/crowd-grid/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 92207827980, "numberOfFiles": 8767, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12847, "startTime": "2013-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4847, "explanation": "This is a prototype. The information in this product is high-quality and has been subject to a rigorous quality assurance process. However, the form of the product and how it is published are subject to change.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 45213, "uuid": "43a33d5a11c44c0ea744391c8a23ac41", "short_code": "comp", "title": "Crowd-Grid gridded climate observations methodology", "abstract": "The gridded dataset uses observations from the Met Office's Weather Observation Website (WOW) and other sources, in addition to observations from official Met Office stations, to give a more detailed view of the temperatures people experience, including in built-up areas. Regression and inverse-distance weighted interpolation are used to generate values on a regular 1km grid from the irregularly spaced observations, taking into account factors such as latitude and longitude, altitude, coastal influence, and urban land use.\r\n\r\nThe methods used are an adaptation of the foundational methods described in Hollis et al. (2019) doi:10.1002/gdj3.78. For details on the modifications, refer to Mitchell & Fry (2024) doi:10.1002/joc.8390. An accompanying README describes the sources, processing, interpretation, and guidance for proper use of the grids (doi:10.5281/zenodo.17787357)" }, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 45179, "uuid": "26269b13a8fb444eb494972f59dd43cf", "short_code": "proj", "title": "Crowd-Grid", "abstract": "The Crowd-Grid project has delivered a set of daily maximum/minimum temperatures on 1km grids for the UK. It uses crowdsourced and 3rd party observations to give a detailed view of the temperatures people experience, including in built-up areas. A set of Recent Heat Packs for each UK local authority makes the Crowd-Grid information more accessible for users. Crowd-Grid differs from and complements HadUK-Grid, the Met Offices \"standard \" gridded dataset and official climate record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 11484, 11485, 11486, 51188, 51189, 62353, 92676, 92677 ], "vocabularyKeywords": [], "identifier_set": [ 13681 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216217, 216218, 216219, 216220, 216221, 216222, 216223, 216284 ], "onlineresource_set": [ 94556 ] }, { "ob_id": 45180, "uuid": "36866f469420456bb3f2bb4933bfebcb", "title": "cci precursors", "abstract": "Should describe the dataset in plain language for a non-expert user (first year undergraduate level)\r\n First few sentences should summarise the contents of the resource\r\n Specialist terms should be explained in full\r\n Acronyms and abbreviations must be explained i.e. Full Name (ACRONYM)\r\n Should describe the dataset in question, NOT the project/activity which produced it.\r\n\r\nSome details of the activities which produced the resource may be pertinent, in which case they should be included. To help organise thinking, it is recommended that the author may like to use the following structure for the summary:\r\n\r\n What - A description of what has been recorded and what form the data takes.\r\n Where - A description of the spatial extent. This could include, gridded/scattered data; even/very variable coverage\r\n When - A description of the temporal coverage (e.g. the period over which data were collected)", "creationDate": "2025-12-12T15:14:48.413594", "lastUpdatedDate": "2025-12-12T15:14:48.413596", "latestDataUpdateTime": "2025-12-12T15:14:48.413598", "updateFrequency": "notPlanned", "dataLineage": "Should describe how the data resource came into existence.\r\n Should describe the stages the resource has passed through before arriving at the data centre (to the best of the metadata authors knowledge).", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4962, "bboxName": "", "eastBoundLongitude": -180.0, "westBoundLongitude": 180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12855, "startTime": "2000-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4848, "explanation": "Any quality standards that were used in the collection of this data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216226, 216227, 216228, 216229, 216230, 216231, 216232 ], "onlineresource_set": [] }, { "ob_id": 45183, "uuid": "9f45ae9217c44dea82be3ba4ef0fa30f", "title": "Recent Heat Packs for local areas in the UK (v1.0, prototype)", "abstract": "This dataset contains Recent Heat Packs derived from the Crowd-Grid dataset. A Recent Heat Pack is a set of .csv files and a factsheet that provide information on temperatures and climate metrics from recent years (2013-2024). Created for each UK local authority, they are designed to equip users to fit extreme events into the context of recent climate. The Recent Heat Packs may be downloaded and used to understand how climate varies locally, to support decisions on climate adaptation\r\n\r\nCrowd-Grid is a new dataset of daily maximum/minimum temperatures grids spanning the period 01/01/2013 to 31/12/2024 at 1km resolution for the UK. Crowd-Grid uses crowdsourced observations from WOW and other sources to give a more detailed view of the temperatures people experience, including in built-up areas. It differs from and complements the standard dataset, HadUK-Grid - the Met Office’s official climate record.\r\n\r\nA set of Recent Heat Packs have been developed that provide for each of the 393 UK local authorities:\r\n–\ta 2-page Recent Heat Factsheet, which complements the 9-page Climate Report in the Met Office's Local Authority Climate Service (LACS)\r\n–\tthree .csv files that provide the underlying data for the local authority and its constituent census areas: MSOAs (Middle Layer Super Output Areas) in England and Wales, Intermediate Zones in Scotland, and District Electoral Areas in Northern Ireland\r\n\r\nFor further details on the dataset and its interpretation, refer to the README (doi:10.5281/zenodo.17787357).", "creationDate": "2025-12-15T14:33:13.327959", "lastUpdatedDate": "2025-12-15T14:33:13", "latestDataUpdateTime": "2025-12-15T14:33:13", "updateFrequency": "notPlanned", "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataReason": "", "keywords": "Met Office,Land Surface,Climate Observations,WOW,MIDAS,UK,Meteorology,Temperature,Daily,Diurnal,Heat, urban", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-12-18T16:06:11", "doiPublishedTime": "2025-12-18T16:13:06", "removedDataTime": null, "geographicExtent": { "ob_id": 4963, "bboxName": "", "eastBoundLongitude": 4.59, "westBoundLongitude": -12.61, "southBoundLatitude": 48.83, "northBoundLatitude": 60.86 }, "verticalExtent": null, "result_field": { "ob_id": 45193, "dataPath": "/badc/crowd-grid/data/recent-heat-packs/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3536271717, "numberOfFiles": 1584, "fileFormat": "Data are csv formatted" }, "timePeriod": { "ob_id": 12859, "startTime": "2013-01-01T00:00:00", "endTime": "2024-12-31T00:00:00" }, "resultQuality": { "ob_id": 4849, "explanation": "This is a prototype. The information in this product is high-quality and has been subject to a rigorous quality assurance process. However, the form of the product and how it is published are subject to change.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 45212, "uuid": "f449d947b30e44319cac24b7f67565c5", "short_code": "comp", "title": "Recent Heat Packs methodology", "abstract": "The Recent Heat Packs comprise a 2-page .pdf factsheet and 3 .csv files containing daily minimum/maximum temperatures and climate metrics, for each of the 393 UK local authorities. The Recent Heat Packs were built entirely from the Crowd-Grid gridded dataset. The metrics were calculated at 1km grid-box level and then averaged over the local authority and census areas shapes (MSOAs for England & Wales, IZ for Scotland, or DEA in NI). They are intended to make the information in the Crowd-Grid gridded dataset available in a more accessible form. These packs have been designed to complement the Met Office Local Authority Climate Service (https://climatedataportal.metoffice.gov.uk/pages/lacs) which provides considerable information about future climate.\r\n\r\nAn accompanying README describes the sources, processing, interpretation, and guidance for proper use of the Recent Heat Packs (doi:10.5281/zenodo.17787357)" }, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 45179, "uuid": "26269b13a8fb444eb494972f59dd43cf", "short_code": "proj", "title": "Crowd-Grid", "abstract": "The Crowd-Grid project has delivered a set of daily maximum/minimum temperatures on 1km grids for the UK. It uses crowdsourced and 3rd party observations to give a detailed view of the temperatures people experience, including in built-up areas. A set of Recent Heat Packs for each UK local authority makes the Crowd-Grid information more accessible for users. Crowd-Grid differs from and complements HadUK-Grid, the Met Offices \"standard \" gridded dataset and official climate record." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92693, 92694, 92695, 92696, 92697, 92698, 92699, 92700, 92701, 92702, 92703, 92704, 92705, 92706, 92707, 92708, 92709, 92710, 92711, 92712 ], "vocabularyKeywords": [], "identifier_set": [ 13682 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216234, 216235, 216236, 216237, 216238, 216239, 216240, 216286 ], "onlineresource_set": [ 94570 ] }, { "ob_id": 45184, "uuid": "2f1d9204781e471cb76c2c4fdf3a0383", "title": "European Atlantic Wave Data under Historical and Future Climate Scenarios (EAWAVES-CLIM)", "abstract": "This dataset provides 3-hourly ocean wave data for the European Atlantic domain spanning three 30-year periods: a historical simulation (1985–2014) and future projections (2030–2059) under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5). It includes directional wave spectral data at 1,031 fixed offshore locations along the Atlantic coast of Europe, as well as gridded wave parameters covering the full North Atlantic simulation domain.\r\n\r\nThe wave data were generated using the Simulating WAves Nearshore (SWAN) model, forced with high-resolution winds obtained through dynamical downscaling of global climate models using the Weather Research and Forecasting (WRF) model, and open boundary conditions derived from WaveWatch III simulations.\r\n\r\nThe spectral component consists of NetCDF-4 files describing wave energy distribution across 25 frequency bands and 36 directions at offshore locations spaced approximately 10 km alongshore and 50 km from the coast.", "creationDate": "2025-12-15T21:03:00.284125", "lastUpdatedDate": "2025-12-18T12:26:21", "latestDataUpdateTime": "2025-12-15T21:03:00", "updateFrequency": "notPlanned", "dataLineage": "This dataset was generated using a multi-stage modeling workflow. First, atmospheric variables from multiple CMIP6 climate models were bias-corrected and dynamically downscaled using the WRF model to produce high-resolution wind fields. These winds were then used to drive WaveWatch III simulations across the North Atlantic to provide offshore boundary conditions. Finally, the SWAN wave model was run at high resolution along the European Atlantic coast using WRF winds and WaveWatch III boundaries to compute detailed 3-hourly wave spectra at 1,031 offshore points. The entire workflow was repeated for three periods: historical (1985–2014) and future scenarios SSP2-4.5 and SSP5-8.5 (2030–2059). The output files were processed, verified, and stored in NetCDF-4 format following CF conventions before being transferred to the CEDA data centre.", "removedDataReason": "", "keywords": "Wave spectra,SWAN,Climate change scenarios,Atlantic Ocean,Downscaling,CMIP6,Ocean wave climatology", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2026-01-06T09:04:10", "doiPublishedTime": "2026-01-21T10:50:44.025925", "removedDataTime": null, "geographicExtent": { "ob_id": 4964, "bboxName": "", "eastBoundLongitude": 10.0, "westBoundLongitude": -20.0, "southBoundLatitude": 30.0, "northBoundLatitude": 63.0 }, "verticalExtent": null, "result_field": { "ob_id": 45214, "dataPath": "/badc/deposited2026/EAWAVES-CLIM/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 614858463312, "numberOfFiles": 32965, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12884, "startTime": "1985-01-01T00:00:00", "endTime": "2059-12-31T00:00:00" }, "resultQuality": { "ob_id": 4850, "explanation": "The wave data generated using the SWAN model were validated against two independent data sources, focusing on the main variables that characterize wave conditions: significant wave height (Hs), peak wave period (Tp), and wave direction. Validation was performed for both mean conditions and extreme values following established practices in wave model evaluation.\r\n\r\nFirst, the SWAN outputs were compared with wave parameters from the ERA5 reanalysis, enabling a spatially consistent assessment across the European Atlantic and North Atlantic domains. Extreme wave conditions were assessed by comparing the 90th, 95th, and 99th percentiles derived from the model simulations and the ERA5 dataset.\r\n\r\nSecond, the model results were validated against in-situ observations from wave buoys operated by Puertos del Estado (Spain), the Hydrographic Institute of the Portuguese Navy, and the UK Met Office. These comparisons (mean and extreme values) confirm the reliability of the dataset.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 40029, "uuid": "a71d72717a5a4d2498bbfcff8f4c4567", "short_code": "comp", "title": "Simulating Waves Nearshore (SWAN)", "abstract": "SWAN propagates offshore wave conditions to the nearshore, and can account for: Wave propagation in time and space, shoaling, refraction due to current and depth, frequency shifting due to currents and non-stationary depth. Wave generation by wind. Three- and four-wave interactions. Whitecapping, bottom friction and depth-induced breaking. Dissipation due to aquatic vegetation, turbulent flow and viscous fluid mud. Wave-induced set-up. Propagation from laboratory up to global scales. Transmission through and reflection (specular and diffuse) against obstacles. Diffraction." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 44508, "uuid": "b68e7dd41370480db6e08493cb19dda1", "short_code": "proj", "title": "SURVIWEC (Survivability of Wave Energy Converters)", "abstract": "The SURVIWEC project aims to develop and validate a numerical tool based on DualSPHysics to assess the survivability of point absorber wave energy devices under extreme wave conditions. The project includes analyzing present and future wave scenarios, enhancing the simulation code, and testing various device configurations. The tool and validation data will be released as open-source to support further research and development." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62353, 92714, 92715, 92716, 92717, 92718, 92719, 92720 ], "vocabularyKeywords": [], "identifier_set": [ 13694 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216241, 216242, 216243, 216244, 216245, 216246, 216264, 216405, 216265, 216266, 216267, 216268, 216269 ], "onlineresource_set": [ 94584 ] }, { "ob_id": 45190, "uuid": "d8d9bf82d2764f75b5177dadfdfbc258", "title": "Ocean bottom node wide-angle seismic data at the Semenov-1 Hydrothermal Site region of the Mid-Atlantic Ridge during the RRS James Cook cruise JC254 (November 2023)", "abstract": "The dataset contains wide-angle seismic data from 6 ocean bottom nodes (OBX-90, GEOSPACE) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the Semenov-1 Hydrothermal Field region of the Mid-Atlantic Ridge at 13°30'N, and were shot in two sequences (SEM1 and SEM1B). Two GI-guns were used as seismic sources, each with a total volume of 210 cubic inches (105 cu. inch generator, 105 cu. inch injector chamber). The data were recorded at a sampling rate of 2000 Hz (500 µs), with a shot interval of 8 s at a ship speed of 5 knots, resulting in shot interval of ~20.5 m. The data are provided in raw SEGY format, cut into four components (three geophone channels and one hydrophone channel). The SEGY file has a trace length of 10s and 20000 samples. This dataset was collected with an aim to derive a seismic velocity structure of the SEM-1 seafloor massive sulphide deposit region. The aim was to understand the interplay between tectonic faulting, magmatism, and hydrothermal circulation at the ultramafic-hosted hydrothermal systems along slow-spreading ridges. The data were collected as part of a NERC-funded strategic research project called 'Ultramafic-hosted mineral Resource Assessment (ULTRA)', grant reference NE/S004068/1. The data were processed and interpreted as part of a PhD studentship hosted by the University of Southampton, awarded to Szu-Ying Lai, and funded by Equinor A.S, Norway.", "creationDate": "2025-12-17T09:44:38.258344", "lastUpdatedDate": "2025-12-11T09:01:10", "latestDataUpdateTime": "2025-12-11T09:01:10", "updateFrequency": "notPlanned", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-12-11T09:01:10", "doiPublishedTime": "2025-12-11T09:01:10", "removedDataTime": null, "geographicExtent": { "ob_id": 4965, "bboxName": "", "eastBoundLongitude": -44.9227006896, "westBoundLongitude": -45.0539711525, "southBoundLatitude": 13.493036123, "northBoundLatitude": 13.56107 }, "verticalExtent": null, "result_field": { "ob_id": 45191, "dataPath": "/bodc/deposits02/uso251016", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2477414039, "numberOfFiles": 51, "fileFormat": ".segy; .jpg; .txt" }, "timePeriod": { "ob_id": 12877, "startTime": "2023-11-04T17:20:23", "endTime": "2023-11-06T22:01:36" }, "resultQuality": { "ob_id": 3732, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2021-07-02" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13668 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216273, 216270, 216271, 216272, 216274, 216275, 216276, 216278, 216277, 216279, 216280, 216281, 216282 ], "onlineresource_set": [] }, { "ob_id": 45194, "uuid": "29f0e5b36f314381958c26a4cf73ced5", "title": "GLODAP-2-2016b", "abstract": "Mapped climatology (GLODAPv2.2016b) of ocean biogeochemical variables based on the GLODAP version 2 data product which covers all ocean basins over the years 1972 to 2013. The quality-controlled and internally consistent GLODAPv2 was used to create global 1° × 1° mapped climatologies of salinity and temperature using the Data-Interpolating Variational Analysis (DIVA) mapping method. Improving on maps based on an earlier but similar dataset, GLODAPv1.1, this climatology also covers the Arctic Ocean. Climatologies were created for 33 standard depth surfaces. Values are thetao (temperature) and so (salinity).", "creationDate": "2025-12-17T14:00:04.792317", "lastUpdatedDate": "2025-12-17T14:00:04.792320", "latestDataUpdateTime": "2025-12-17T14:00:04.792321", "updateFrequency": "notPlanned", "dataLineage": "Original dataset prepared by University of Bergen and Bjerknes Centre for Climate Research, hosted by NOAA-NCEI as monthly, daily datasets. Monthly datasets for temperature and salinity, reprocessed to change reference in all variables to 'depth_surface' to 'depth'. Data then CMORised locally with a modified Omon.json table so that 'thetao' and 'so' have dimensions 'olevel latitude longitude'. CMOR script manually added below surface levels and bounds. See: https://github.com/PCMDI/obs4MIPs-cmor-tables/tree/master/inputs/CMIP-IPO/NOAA-NCEI", "removedDataReason": "", "keywords": "obs4MIPs,obs4REF,thetao,so,GLODAP,climatology", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4966, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": 180.0, "southBoundLatitude": 90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12880, "startTime": "1972-01-01T00:00:00", "endTime": "2013-12-31T00:00:00" }, "resultQuality": { "ob_id": 4851, "explanation": "Data prepared using CMOR 3.10 to CF Conventions 1.12 and ODS2.6", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-12-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216287, 216288, 216289, 216290, 216291, 216292, 216293, 216294, 216295, 216296, 216297, 216298 ], "onlineresource_set": [ 94585, 94586 ] }, { "ob_id": 45196, "uuid": "ae24a127728941bdbb10d04ecd8fbfff", "title": "Model output containing ocean, atmospheric and sea ice variables from the zstar_Smag simulation of the HadGEM3-GC5-LM coupled climate model (1976-2035).", "abstract": "This dataset contains monthly means of ocean, atmospheric and sea ice variables from a 60-year (1976-2035) integration of the HadGEM3-GC5-LM coupled model, with fixed year 2000 control atmospheric composition. The archived model output includes monthly means from the NEMO v4.0.4 ocean component on T, U, V and W grids; monthly means from the SI3 sea ice model; and monthly means from the GAL9 atmosphere-land model. In addition, five-day means of the temperature and salinity (\"T grid\") and of the meridional velocity (\"V grid\") over a ten-year period are provided: these were used to estimate the total diapycnal mixing. In this simulation the fixed biharmonic viscosity is replaced with biharmonic Smagorinsky viscosity with a coefficient CMSmag=3; it is referred to as “zstar_Smag\". 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The fields are produced by assimilating retrieved atmospheric quantities using the Analysis Correction (AC) scheme in the UK spectral version (Oxford University and The Open University) of the Mars Planetary Climate Model (Mars-PCM), which is maintained by the Laboratoire de Météorologie Dynamique at Sorbonne Université in Paris, France. \r\n\r\nObservations are taken from the Mars Global Surveyor/Thermal Emission Spectrometer (MGS/TES), the Mars Odyssey/Thermal Emission Imaging System (ODY/THEMIS), and the Mars Reconnaissance Orbiter/Mars Climate Sounder (MRO/MCS) instruments. Assimilated MGS/TES retrievals include nadir thermal profiles below approximately 40 km altitude and column dust optical depth values. Assimilated ODY/THEMIS retrievals include column dust optical depth values. Assimilated MRO/MCS retrievals include limb thermal profiles and dust extinction profiles below approximately 80 km altitude, as well as estimates of column dust optical depth values.\r\n\r\nThe dataset covers 12 Martian years (MY), from MY 24 through MY 35 (i.e. from July 1998 through February 2021). Each file contains 30 sols, and each sol contains variables at 12 times. TES, THEMIS, and MCS retrievals are assimilated separately, with no overlap. Several 30-sol periods at the beginning of MY 24 contain no available observations; in these cases the model is run with no assimilation (free run).\r\n\r\nThe file name and the \"assimilation_run_type\" global attribute indicate which observing system is assimilated in each file: MGS/TES, ODY/THEMIS, MRO/MCS, MRO/MCS_nodust (only thermal profiles, no dust extinction profiles nor column dust optical depth values), MRO/MCS_nodustprof (only thermal profiles and column dust optical depth values, no dust extinction profiles), or free-run (i.e. no assimilated observations because retrievals are not available).", "creationDate": "2026-01-09T11:24:39.409027", "lastUpdatedDate": "2026-01-09T11:04:53", "latestDataUpdateTime": "2026-01-09T11:04:53", "updateFrequency": "notPlanned", "dataLineage": "The atmospheric and surface data included in this dataset are produced by assimilating retrieved atmospheric quantities using the Analysis Correction (AC) scheme in the UK spectral version (Oxford University and The Open University) of the Mars Planetary Climate Model (Mars-PCM), which is maintained by the Laboratoire de Météorologie Dynamique at Sorbonne Université in Paris, France. The model version used is labelled Mars_PCM-UK-spectral_v5.2. This dataset represents version 2 of the MACDA project and assimilates retrievals from observations by the Mars Global Surveyor/Thermal Emission Spectrometer (MGS/TES), the Mars Odyssey/Thermal Emission Imaging System (ODY/THEMIS), and the Mars Reconnaissance Orbiter/Mars Climate Sounder (MRO/MCS) instruments. TES column dust optical depth retrievals are version 2023 (http://doi.org/10.17189/kwez-jq47) and MCS retrievals are version 5.2.\r\n\r\n\r\nData produced by the project team were then supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "Mars, Martian, MGCM, dust, dust and temperature assimilation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T09:22:14", "doiPublishedTime": "2026-01-30T13:55:11.727434", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45228, "dataPath": "/badc/mgs/data/macda/v2-0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 216084277205, "numberOfFiles": 269, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": { "ob_id": 12889, "startTime": "1998-07-14T00:00:00", "endTime": "2021-07-02T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 45235, "uuid": "09ece963f03d4b5ba96eb164394ed337", "short_code": "cmppr", "title": "MACDA 2 Composite Process", "abstract": "MACDA 2 Composite Process" }, "imageDetails": [ 140 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11610, "uuid": "bdd646b9a7d440a5a61284c92029178d", "short_code": "proj", "title": "Mars Analysis Correction Data Assimilation (MACDA)", "abstract": "The aim of the MACDA project was to produce an assimilated, consistent dataset from the observations made by the MGS/TES instrument. The project was undertaken at Oxford University, UK. On Earth, data assimilation is used in routine operational weather forecasting, primarily to produce accurate initial conditions for the forecasts. A similar technique has been applied to another planet in the Solar System: Mars. This was the goal of the Mars Analysis Correction Data Assimilation (MACDA) project. Observations of atmospheric temperature and dust opacity from the Thermal Emission Spectrometer on board NASA's Mars Global Surveyor spacecraft have been assimilated for three complete Martian years into the UK Mars Global Circulation Model. This four-dimensional 'reanalysis' allows us to study the evolution of the atmospheric state on a model grid while remaining consistent with the observations, the model, and our physical understanding. It also allows us to access variables that cannot be directly observed, such as winds and surface pressure, as the model balances the unobserved variables against the observed variables as the assimilation progresses." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 60438, 92745, 92746, 92747, 92748, 92749, 92750, 92751, 92753, 92755, 92756, 92757, 92758, 92759, 92760, 92761, 92762 ], "vocabularyKeywords": [], "identifier_set": [ 13696 ], "observationcollection_set": [ { "ob_id": 11018, "uuid": "01c44fb05fbd6e428efbd57969a11177", "short_code": "coll", "title": "Mars Analysis Correction Data Assimilation (MACDA) Data Collection", "abstract": "This dataset collection contains basic gridded atmospheric and surface variables for the planet Mars over three Martian years (a martian year is 1.88 terrestrial years), as produced by data assimilation of spacecraft observations. Each file in the dataset spans 30 martian mean solar days (sols) during the science mapping phase of the National Aeronautics and Space Administrations's (NASA) Mars Global Surveyor (MGS) spacecraft, between May 1999 and August 2004. The dataset collection was produced by the re-analysis of Thermal Emission Spectrometer (TES) retrievals of nadir thermal profiles and total dust opacities, using the Mars Analysis Correction Data Assimilation (MACDA) scheme in a Mars global circulation model (MGCM). The MGCM used the UK spectral version of the model developed by the Laboratoire de Météorologie Dynamique (LMD) in Paris, France. MACDA was a collaboration between the University of Oxford and The Open University in the UK." } ], "responsiblepartyinfo_set": [ 216436, 216437, 216438, 216439, 216440, 216441, 216442, 216446, 216443, 216444, 216445 ], "onlineresource_set": [ 95094, 95095, 95096 ] }, { "ob_id": 45242, "uuid": "068e93260cdc46e1982d0e18e6ae8225", "title": "Drone-based orthophotomaps (ORTHO) and digital surface models (DSM) at Central Kalimantan (2022)", "abstract": "The product consists of orthophotos and digital surface models (DSMs) generated from RGB drone imagery. These datasets were acquired in 2022 by the University of Palangka Raya and cover 14 designated test areas. The primary purpose of these geospatial products is to support the description and analysis of peatland eco-hydrological variables. The orthophotos provide high-resolution (10 cm), georeferenced imagery for detailed land surface observation, while the DSMs (25 cm) offer elevation information essential for understanding surface characteristics and hydrological dynamics within peatland ecosystems.", "creationDate": "2026-01-12T13:27:44.524667", "lastUpdatedDate": "2026-01-12T13:27:48.409722", "latestDataUpdateTime": "2026-01-12T13:27:44.524671", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "UAV,drone,remote sensing,DSM,ortho,Central Kalimantan,tropical peatlands", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4974, "bboxName": "", "eastBoundLongitude": 113.72, "westBoundLongitude": 114.2799999999, "southBoundLatitude": -2.69, "northBoundLatitude": -2.115 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12891, "startTime": "2022-07-05T00:00:00", "endTime": "2022-11-03T00:00:00" }, "resultQuality": { "ob_id": 4862, "explanation": "Research data - Comments on the quality of the data are available in the data files.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2026-01-12" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 45243, "uuid": "b637d5b272624603b6e081b417de63df", "short_code": "acq", "title": "Acquisition for: Drone-based orthophotomaps (ORTHO) and digital surface models (DSM) at Central Kalimantan (2022)", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 41469, "uuid": "1cddb86e4c714ff1ac71a89fcad45dfa", "short_code": "proj", "title": "The Kalimantan Lestari (KaLi) project", "abstract": "Indonesia's Central Kalimantan province on the island of Borneo is home to extensive peatlands. In dry years such as 2015, peat fires burn for months with huge impacts: Exposure to smoke during this period is expected to cause 100,000 premature deaths, caused major economic disruption with a cost of $16.1Bn to the Indonesian economy and, for three months, emitted more carbon than the entire EU. Indonesia's peatland fires were described as 2015's 'worst environmental disaster' (Guardian, 2015) with Central Kalimantan at the epicentre. The majority of fires in this region are started deliberately, primarily to clear forest for small or large-scale agriculture (satellite data indicates that there were close to 40,000 fire hot spots in C. Kalimantan peatlands in 2015), but their frequency, duration and severity are strongly climate linked and facilitated by El Nino droughts, which may become more frequent under global warming. In their intact natural waterlogged, forested state these peatlands rarely burn, therefore fires are concentrated in the (extensive) areas that have dried to some degree due to deforestation and drainage for agriculture and timber extraction. Here, smouldering fires burn down into the underlying peat, can burn for months and are the primary cause of near annual air pollution events affecting SE Asia, which were particularly severe during 2015. Thus the drivers behind the peatland fires are a combination of climatic processes, a legacy of historic land use impacts that ensure a high fuel load, and human activities that provide ignition sources. The resulting huge impacts are, therefore, to a large extent preventable but effective action requires a more detailed understanding of future climate-associated risk, biophysical and socio-economic conditions and human behaviours. \r\n\r\nThis multidisciplinary project has three core aims: \r\n\r\n1) To better understand the drivers behind the multiple drought- and fire-associated hazards and their spatial distribution in the peatlands of Central Kalimantan Province, Indonesian Borneo\r\n\r\n2) To characterise the multiple, cumulative impacts of drought and the biophysical and human behavioural chains leading to them, and identify the population groups/communities most vulnerable to these hazards. \r\n\r\n3) Combining information from 1 and 2, identify priority actions and policies for work to reduce the risk of fire and identify the socio-cultural, agro-ecological, physical and economic hurdles to achieving positive outcomes from their implementation within the context of sustainable development that leads to better environmental and socio-economic circumstances for all. \r\n\r\nThe ultimate aim of this project is to build long term resilience to the multiple hazards associated with drought and fire in Central Kalimantan's peatlands by developing the knowledge, tools and capacity to reduce the current co-drivers (e.g. human land uses) and also to plan ahead for when circumstances (climate, land use) change in the future." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216468, 216469, 216470, 216471, 216472, 216473, 216474, 216475 ], "onlineresource_set": [] }, { "ob_id": 45247, "uuid": "90eafa3b5e4043ff823c130323757631", "title": "High-Resolution Airborne Light Detection and Ranging (LiDAR) Scans of the Bristol Channel and Severn Estuary, UK (April - June 2023).", "abstract": "This dataset contains high-resolution water surface elevation (WSE) measurements from five airborne LiDAR surveys of an estuarine system conducted between April and June 2023. The surveys were strategically timed to coincide with Surface Water and Ocean Topography (SWOT) satellite overpasses and captured a comprehensive range of tidal conditions, spanning from - 5.1 m to + 5.4 m relative to the EGM2008 geoid during both flood and ebb tides. Two Leica LiDAR systems were deployed: the Hyperon system for three longitudinal flights (May 16, June 24, June 29) covering 55 km along the estuary axis, and the T500 system for two cross-estuary flights (April 7, 25) spanning 35 km perpendicular to the main channel. Each survey was flown at approximately 3 km altitude with a ~ 1 km swath width, achieving point densities of 4 - 10 points/m² and WSE accuracy of ~ 0.1 m resolution. Flight durations were up to 20 minutes per survey. These measurements provide critical validation and calibration data for satellite-based WSE observations in tidally influenced coastal environments, supporting improved understanding of estuarine hydrodynamics and remote sensing validation efforts. This dataset was collected under the Surface Water and Ocean Topography (SWOT) mission (https://noc.ac.uk/projects/swot-uk) and was funded by the UK Natural Environment Research Council and the UK Space Agency (NE/V009168/1).", "creationDate": "2026-01-14T15:57:23.438292", "lastUpdatedDate": "2026-01-14T15:57:23", "latestDataUpdateTime": "2026-01-14T15:57:23", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "elevation, oceans", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2026-01-14T00:00:00", "doiPublishedTime": "2026-01-14T00:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 4987, "bboxName": "", "eastBoundLongitude": -2.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 52.0 }, "verticalExtent": null, "result_field": { "ob_id": 45246, "dataPath": "/bodc/bgo251010", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 824, "numberOfFiles": 1, "fileFormat": null }, "timePeriod": { "ob_id": 12904, "startTime": "2023-04-07T00:00:00", "endTime": "2023-06-29T23:59:59" }, "resultQuality": { "ob_id": 4863, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2026-01-14" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13691 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216487, 216493, 216494, 216495, 216490, 216491, 216492, 216489, 216488, 216496, 216497, 216498 ], "onlineresource_set": [] }, { "ob_id": 45251, "uuid": "c4e5b5939c3240fb823896cefadbfe75", "title": "Nitrous oxide and carbon monoxide measurements from Ho Chi Minh City, Vietnam 2018-2019", "abstract": "Continuous in situ mole fractions measurements of nitrous oxide and carbon monoxide from instruments located on the roof of an 11-storey building (∼40m) at the Vietnam National University HCMC, University of Science campus in Ho Chi Minh City, Vietnam (10.7625°N, 106.6823°E). These measurements were taken between October 2018 to March 2019 as part of the Two City study of Air Quality in Vietnam project NE/P014771/1.", "creationDate": "2026-01-20T15:51:37.881363", "lastUpdatedDate": "2026-01-20T15:51:37", "latestDataUpdateTime": "2026-01-20T15:51:37", "updateFrequency": "notPlanned", "dataLineage": "This data resources were collected by the project team - the NERC funded project enitited \"A Two City study of Air Quality in Vietnam\" - before archival at CEDA", "removedDataReason": "", "keywords": "nitrous oxide,carbon monoxide,vietnam", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-01-30T09:35:23", "doiPublishedTime": "2026-02-03T10:46:49", "removedDataTime": null, "geographicExtent": { "ob_id": 4991, "bboxName": "Vietnam National University HCMC", "eastBoundLongitude": 106.6823, "westBoundLongitude": 106.6823, "southBoundLatitude": 10.7625, "northBoundLatitude": 10.7625 }, "verticalExtent": null, "result_field": { "ob_id": 45259, "dataPath": "/badc/deposited2026/Vietnam_Two_Cities/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2035001, "numberOfFiles": 2, "fileFormat": "BADC-CSV" }, "timePeriod": { "ob_id": 12908, "startTime": "2018-10-01T00:00:00", "endTime": "2019-03-31T00:00:00" }, "resultQuality": { "ob_id": 4866, "explanation": "Data are as supplied by the project team. No quality information is available", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2026-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 45253, "uuid": "aefcea25bdd241c1aa8065a581b7cd4a", "short_code": "acq", "title": "Acquisition for: Nitrous oxide and carbon monoxide data from Ho Chi Minh City, Vietnam", "abstract": "Acquisition for: Nitrous oxide and carbon monoxide data from Ho Chi Minh City, Vietnam" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 45252, "uuid": "44efc5752ede4682a155f3e98f2079c0", "short_code": "proj", "title": "A Two City study of Air Quality in Vietnam", "abstract": "The World Health Organisation describes poor air quality as the largest single environmental health risk and attributes eight million deaths annually to the consequences of exposure to air pollution. In recent times Vietnam has undergone rapid urbanisation, industrialisation and population growth and, as a result, has become one of the most polluted countries in the world. Despite this, air quality monitoring in Vietnam is patchy, and many of the previously reported studies are now quite dated." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 92766, 92767, 92768, 92769, 92770, 92771, 92772, 92773, 92774 ], "vocabularyKeywords": [], "identifier_set": [ 13707 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216510, 216511, 216512, 216513, 216514, 216515, 216516, 216532, 216517 ], "onlineresource_set": [] }, { "ob_id": 45255, "uuid": "cd7340f09faf4506be34056fafdee0a9", "title": "upload_glocaem", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Thrace Xanthi.", "creationDate": "2026-01-20T17:57:28.661551", "lastUpdatedDate": "2026-01-20T17:57:28.661554", "latestDataUpdateTime": "2026-01-20T17:57:28.661556", "updateFrequency": "notPlanned", "dataLineage": "OK", "removedDataReason": "", "keywords": "GloCAEM,GEC,electric potential,PG,electric field", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4990, "bboxName": "", "eastBoundLongitude": 24.9186988068, "westBoundLongitude": 24.9186988068, "southBoundLatitude": 41.1468115341, "northBoundLatitude": 41.1468115341 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12909, "startTime": "2011-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 4865, "explanation": "Calibration, instrument checking.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2026-01-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 45256, "uuid": "fa08c60c5cf542d0924c87b03be3b1b3", "short_code": "acq", "title": "Acquisition for: upload_glocaem", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 20068, "uuid": "6ee6e0a3f57c4ca79e8cbc0daaafe76f", "short_code": "proj", "title": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM)", "abstract": "It is well established that Earth has a \"Global atmospheric Electric Circuit\" (GEC), through which charge separation in thunderstorms sustains large scale current flow around the planet. The GEC generates an atmospheric electric field which is present globally, and is typically 100V/m near the surface in fair weather conditions. Measurements of electric field have been shown to include information about global thunderstorm activity, local aerosol concentrations and cloud cover, as well as changes in the space weather environment. Recent work has also suggested that atmospheric electrical changes may be effective as earthquake precursors, as well as being sensitive to release of radioactivity, as evidenced by the Fukushima disaster in 2011. \r\n\r\nThe global nature of the GEC means that in order that truly global signals are considered in understanding the processes within the circuit, many validating measurements must be made at different locations around the world. To date, no genuinely global network of FW atmospheric electricity measurements has ever existed, therefore, given the growing number of groups now involved in atmospheric electricity monitoring, such a proposal is timely. \r\n\r\nThis project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216523, 216524, 216525, 216526, 216527, 216528, 216529, 216530 ], "onlineresource_set": [] }, { "ob_id": 45268, "uuid": "3bea1a0780614371bc07cfb490795f7c", "title": "ACOLITE-processed Sentinel-2 MSI ocean colour products for seagrass carbon stock modelling", "abstract": "This dataset contains water quality products derived from Sentinel-2 MSI over seagrass sites in northern temperate coastal regions. For each seagrass site, a 20 × 20 km area was extracted, and all available Sentinel-2 observations from June 2015 to June 2022 were processed. The subsets of the scenes are provided as individual NetCDFs. 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These are expert products with rich content and no data loss. \r\n\r\nThe altimeter data used in the Sea State CCI dataset v3 come from multiple satellite missions spanning from 2002 to 2022021 (Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3A), therefore spanning over a shorter time range than version 1.1. Unlike version 1.1, this version 3 involved a complete and consistent retracking of all the included altimeters. 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It has been generated from upstream Sea State CCI L2P products, edited and merged into daily products, retaining only valid and good quality measurements from all altimeters over one day, with simplified content (only a few key parameters). This is close to what is delivered in Near-Real Time by the CMEMS (Copernicus - Marine Environment Monitoring Service) project. It covers the date range from 2002-2021.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v3 come from multiple satellite missions (Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3A), therefore spanning over a shorter time range than version 1.1. Unlike version 1.1, this version 3 involved a complete and consistent retracking of all the included altimeters. 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These L4 products are meant for statistics and visualization.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v4 come from multiple satellite missions spanning from 2002 to 2021 ( Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3A), therefore spanning over a shorter time range than version 1.1. Unlike version 1.1, this version 3 involved a complete and consistent retracking of all the included altimeters. 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The L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated. In addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n \r\nThe version number is 2.0. 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Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82146, 82147, 82148, 82150, 82151, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216694, 216696, 216697, 216698, 216699, 216700, 216701, 216703, 216704, 216705 ], "onlineresource_set": [ 95158, 95159 ] }, { "ob_id": 45310, "uuid": "1b9271632ca64dfe913cfe0bd440e35b", "title": "piClim-370-126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82147, 82148, 82150, 82151, 83940, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216706, 216707, 216708, 216709, 216710, 216711, 216712, 216713, 216714, 216715 ], "onlineresource_set": [ 95160, 95161 ] }, { "ob_id": 45312, "uuid": "7d9573a533ad4e4c8ad89bedbc1ab0cf", "title": "piClim-370-AFR126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:52:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45313, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/piClim-370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 172266609296, "numberOfFiles": 3132, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44772, "uuid": "0dff018a1b6f4d308c8fa5d922d0d00f", "short_code": "comp", "title": "EC-Earth3-AerChem climate model", "abstract": "The EC-Earth3-AerChem climate model, released in 2019, includes the following components: // aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. // For CMIP6, the model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. For RAMIP, the model was run by FMI." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82146, 82147, 82148, 82150, 82151, 83940, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216716, 216717, 216718, 216719, 216720, 216721, 216722, 216723, 216724, 216725 ], "onlineresource_set": [ 95162, 95163 ] }, { "ob_id": 45314, "uuid": "4c8fc7c1aa9a422db678f5d5788d4961", "title": "piClim-370-EAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:51:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45315, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/piClim-370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 172287836477, "numberOfFiles": 3132, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44772, "uuid": "0dff018a1b6f4d308c8fa5d922d0d00f", "short_code": "comp", "title": "EC-Earth3-AerChem climate model", "abstract": "The EC-Earth3-AerChem climate model, released in 2019, includes the following components: // aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. // For CMIP6, the model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79857, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82147, 82148, 82150, 82151, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216726, 216727, 216728, 216729, 216730, 216731, 216732, 216733, 216734, 216735 ], "onlineresource_set": [ 95164, 95165 ] }, { "ob_id": 45316, "uuid": "f196bc5dcaff47f4b21d43da7a77889c", "title": "piClim-370-SAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79857, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82147, 82148, 82150, 82151, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216736, 216737, 216738, 216739, 216740, 216741, 216742, 216743, 216744, 216745 ], "onlineresource_set": [ 95166, 95167 ] }, { "ob_id": 45318, "uuid": "b55972a95db84e1181cacf4e040a06a3", "title": "piClim-370-NAE126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:51:05", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45319, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/EC-Earth-Consortium/EC-Earth3-AerChem/piClim-370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 172338184360, "numberOfFiles": 3132, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44772, "uuid": "0dff018a1b6f4d308c8fa5d922d0d00f", "short_code": "comp", "title": "EC-Earth3-AerChem climate model", "abstract": "The EC-Earth3-AerChem climate model, released in 2019, includes the following components: // aerosol: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. // For CMIP6, the model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, seaIce: 100 km. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54692, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71732, 71820, 71825, 71854, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82145, 82147, 82148, 82150, 82151, 83940, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44032, "uuid": "d581329422fb455ab9af0ea96c04d266", "short_code": "coll", "title": "EC-Earth3-AerChem output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, data is provided for 30 years.\r\n\r\nEC-Earth3-AerChem is the global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers." } ], "responsiblepartyinfo_set": [ 216746, 216747, 216748, 216749, 216750, 216751, 216752, 216753, 216754, 216755 ], "onlineresource_set": [ 95168, 95169 ] }, { "ob_id": 45320, "uuid": "b01abe865c0e41569be6ff1f06339c70", "title": "piClim-370-NAE126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5: The Canadian Earth System Model version 5 \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-SAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54383, 54454, 54692, 54712, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71661, 71666, 71677, 71681, 71683, 71687, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13743 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 216818, 216811, 216812, 216813, 216814, 216815, 216816, 216817, 216819, 216820, 216821 ], "onlineresource_set": [ 95180, 95181 ] }, { "ob_id": 45331, "uuid": "a673a07ad2f84c4a8bd8934562417108", "title": "piClim-370-AFR126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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For RAMIP, the model was run by the University of Toronto on the Niagara computer of SciNet using the same nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 51206, 52746, 52750, 52755, 54383, 54454, 54692, 54712, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71661, 71666, 71677, 71681, 71683, 71687, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13744 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 216822, 216823, 216824, 216825, 216826, 216827, 216828, 216829, 216830, 216831, 216832 ], "onlineresource_set": [ 95182, 95183 ] }, { "ob_id": 45333, "uuid": "2792ca0a7e844894abb21b4487007de4", "title": "piClim-370-AFR126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMIROC6: The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:24:21", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45334, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/piClim-370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70214454806, "numberOfFiles": 90, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43454, "uuid": "0f7578a9d55f42eead6e66014f8e4cd4", "short_code": "comp", "title": "MIROC6", "abstract": "The MIROC6 climate model, released in 2017, includes the following components: \r\naerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. \r\n\r\nFor CMIP6, the model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. For RAMIP, the model was run by JAMSTEC." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2520, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 1, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 7795, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 51206, 52746, 52750, 52755, 54340, 54383, 54692, 54712, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71659, 71661, 71666, 71677, 71681, 71683, 71687, 71820, 71825, 79856, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82138, 82139, 82142, 82143, 82144, 82145, 82146, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44087, "uuid": "7fbe5be720a34d4785cc7e3bb9df4641", "short_code": "coll", "title": "MIROC6 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-SAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 7795, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 51206, 52746, 52750, 52755, 54340, 54383, 54692, 54712, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71659, 71661, 71666, 71677, 71681, 71683, 71687, 71820, 71825, 79856, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82138, 82139, 82142, 82143, 82144, 82145, 82146, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44087, "uuid": "7fbe5be720a34d4785cc7e3bb9df4641", "short_code": "coll", "title": "MIROC6 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. 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For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMIROC6: The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:22:34", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45342, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/piClim-370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70261671459, "numberOfFiles": 91, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43454, "uuid": "0f7578a9d55f42eead6e66014f8e4cd4", "short_code": "comp", "title": "MIROC6", "abstract": "The MIROC6 climate model, released in 2017, includes the following components: \r\naerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. \r\n\r\nFor CMIP6, the model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 7795, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 51206, 52746, 52750, 52755, 54340, 54383, 54692, 54712, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71659, 71661, 71666, 71677, 71681, 71683, 71687, 71820, 71825, 79856, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82138, 82139, 82142, 82143, 82144, 82145, 82146, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44087, "uuid": "7fbe5be720a34d4785cc7e3bb9df4641", "short_code": "coll", "title": "MIROC6 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 216871, 216869, 216873, 216870, 216872, 216874, 216875, 216876 ], "onlineresource_set": [ 95193, 95192 ] }, { "ob_id": 45343, "uuid": "d97c77f5123d4b16980bacf6b0246641", "title": "piClim-370 data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMIROC6: The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-19T09:19:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45344, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 74570994764, "numberOfFiles": 94, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43454, "uuid": "0f7578a9d55f42eead6e66014f8e4cd4", "short_code": "comp", "title": "MIROC6", "abstract": "The MIROC6 climate model, released in 2017, includes the following components: \r\naerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. \r\n\r\nFor CMIP6, the model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 7795, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 51206, 52746, 52750, 52755, 54340, 54383, 54692, 54712, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71659, 71661, 71666, 71677, 71681, 71683, 71687, 71820, 71825, 79856, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82132, 82138, 82139, 82142, 82143, 82144, 82145, 82146, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44087, "uuid": "7fbe5be720a34d4785cc7e3bb9df4641", "short_code": "coll", "title": "MIROC6 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 216877, 216878, 216879, 216880, 216881, 216882, 216883, 216884 ], "onlineresource_set": [ 95194, 95195 ] }, { "ob_id": 45345, "uuid": "06e6412af176429cb17b070f58f68f2c", "title": "SSP370-SAS126ca data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126ca coupled transient experiment runs from January 2015 to at least February 2051. Carbonaceous aerosol emissions (black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4683, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45346, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/ssp370-sas126ca", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 439322388177, "numberOfFiles": 192, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12051, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4656, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43454, "uuid": "0f7578a9d55f42eead6e66014f8e4cd4", "short_code": "comp", "title": "MIROC6", "abstract": "The MIROC6 climate model, released in 2017, includes the following components: \r\naerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. \r\n\r\nFor CMIP6, the model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 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Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. 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Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Asia is comprised of East Asia (the region bounded by 95 and 133E and 20 and 53N) and South Asia (the region bounded by 65 and 95E and 5 and 35N). \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMIROC6: The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "creationDate": "2025-02-04T14:56:03.799450", "lastUpdatedDate": "2025-02-04T14:56:19", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient simulations are initialised from the CMIP6 historical experiment. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4683, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45348, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/ssp370-asia126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1330185489395, "numberOfFiles": 576, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12051, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4656, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43454, "uuid": "0f7578a9d55f42eead6e66014f8e4cd4", "short_code": "comp", "title": "MIROC6", "abstract": "The MIROC6 climate model, released in 2017, includes the following components: \r\naerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. \r\n\r\nFor CMIP6, the model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 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Carbonaceous aerosol emissions (black carbon and organic carbon) over sub-Saharan Africa are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Sub-Saharan Africa is the region bounded by 20W and 50E and 35S and 12N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50611, 50613, 50615, 50616, 51206, 52746, 52750, 52755, 54252, 54340, 54383, 54692, 54712, 54810, 54811, 54813, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71641, 71659, 71661, 71666, 71677, 71681, 71683, 71687, 71820, 71825, 79856, 79857, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82143, 82144, 82145, 82146, 82152, 92713 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 44087, "uuid": "7fbe5be720a34d4785cc7e3bb9df4641", "short_code": "coll", "title": "MIROC6 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 and Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 216901, 216902, 216903, 216904, 216905, 216906, 216907, 216908 ], "onlineresource_set": [ 95200, 95201 ] }, { "ob_id": 45353, "uuid": "4b62fafc68ae4c3784fb2819f652c537", "title": "CANARI-LE Priority Variables from the HadGEM3.1 large ensemble of climate model simulations for the CANARI project", "abstract": "The CANARI large ensemble priority variables are a subset of the output from a large ensemble using the HadGEM3.1 model to simulate 40 realisations of 150 years of historical and future data (a total of 6000 years of simulation). \r\nThe historical simulations run from 1950 to 2014, after which they continue using the SSP3-70 scenario forcing (historical and scenario forcings as used in CMIP6). \r\nThe model used is the medium resolution configuration of HadGEM3.1-MM used for CMIP6, with the Unified Model atmosphere at N216 (~60km) and the NEMO ocean at 0.25∘ . \r\nThe baseline performance of this model is described in [ADD REF]. \r\nThe 40 realisations are initialised using a combination of initial conditions from eight simulations which began in 1850 with four additional initial condition perturbations applied to each of those in 1950. The priority variable subset includes fields from the atmosphere, ocean and sea-ice, at a range of temporal frequencies.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project 6 of the World Climate Research Programme (WCRP). \r\nSSP3-70 is a future scenario in the upper middle part of the range of CMIP6 scenarios. \r\n\r\nNE/W004984/1", "creationDate": "2026-02-12T17:21:00.411839", "lastUpdatedDate": "2026-02-12T17:14:45", "latestDataUpdateTime": "2026-02-12T17:14:45", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NE/W004984/1, CMIP6, SMLE, CANARI, Climate, SSP3-70", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4999, "bboxName": "CANARI-LE priority variables coverage", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 8961, "startTime": "1950-01-01T00:00:00", "endTime": "2099-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216919, 216920, 216921, 216922, 216923, 216924, 216925, 216926, 216927, 217012, 217013, 217014, 217015, 217016, 217017, 217018, 217019, 217020, 217021, 217022, 217023, 217024, 217025, 217026, 217027, 217028, 217029, 217030, 217031, 217032, 217033, 217034, 217035, 217036, 217037, 217038, 217039, 217040, 217041, 217042, 217043, 217044, 217045, 217046, 217047, 217048, 217049, 217050, 217051, 217052, 217053 ], "onlineresource_set": [ 95216, 95217 ] }, { "ob_id": 45354, "uuid": "0b2882e4279f4f81b708ebad36ed944c", "title": "piClim-370 data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-13T09:49:30", "doiPublishedTime": "2026-02-13T12:11:07.189811", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45355, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 36700675415, "numberOfFiles": 70, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71627, 71632, 71633, 71659, 71666, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13714 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216928, 216929, 216930, 216931, 216933, 216934, 216935, 216932, 216936, 216937, 216938, 216939, 216940, 216941 ], "onlineresource_set": [ 95205, 95204 ] }, { "ob_id": 45356, "uuid": "479c042f5a7a4ebe844c111107e9e8ac", "title": "piClim-370-126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-13T09:44:30", "doiPublishedTime": "2026-02-13T12:10:32.985870", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45357, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/piClim-370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33810986832, "numberOfFiles": 70, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13713 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216949, 216942, 216943, 216944, 216945, 216946, 216947, 216948, 216950, 216951, 216952, 216953, 216954, 216955 ], "onlineresource_set": [ 95206, 95207 ] }, { "ob_id": 45358, "uuid": "f39cf682c79e41b6a1b18fc26ba4d8eb", "title": "piClim-370-NAE126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71627, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13712 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216963, 216962, 216961, 216960, 216959, 216958, 216957, 216956, 216964, 216965, 216966, 216967, 216968, 216969 ], "onlineresource_set": [ 95208, 95209 ] }, { "ob_id": 45360, "uuid": "e22ee9b0948d49f38001105e54964994", "title": "piClim-370-EAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-13T09:46:41", "doiPublishedTime": "2026-02-13T12:06:05.528913", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45361, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/piClim-370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39123596605, "numberOfFiles": 71, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71627, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13711 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216977, 216976, 216975, 216974, 216973, 216972, 216971, 216970, 216978, 216979, 216980, 216981, 216982, 216983 ], "onlineresource_set": [ 95210, 95211 ] }, { "ob_id": 45362, "uuid": "7658d617e0e54f1cbb5747510465e8df", "title": "piClim-370-SAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-SAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-13T09:47:51", "doiPublishedTime": "2026-02-13T12:05:05.438640", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45363, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/piClim-370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39554812657, "numberOfFiles": 72, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71627, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13710 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 216989, 216988, 216987, 216986, 216985, 216984, 216991, 216990, 216992, 216993, 216994, 216995, 216996, 216997 ], "onlineresource_set": [ 95212, 95213 ] }, { "ob_id": 45364, "uuid": "b71cb69074334e3997f7b674a7bf1c32", "title": "piClim-370-AFR126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-13T09:48:48", "doiPublishedTime": "2026-02-13T12:04:24.605725", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 45365, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/piClim-370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39580946538, "numberOfFiles": 72, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12682, "startTime": "1851-01-01T00:00:00", "endTime": "1880-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43456, "uuid": "cf7f9d78c4d7425f9b0b45f44f63ec19", "short_code": "comp", "title": "UKESM1-0-LL", "abstract": "The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components:\r\naerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). \r\n\r\nThe model was run by the National Centre for Atmospheric Science at the Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK (MOHC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50415, 50417, 50418, 50419, 50423, 50424, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52744, 52745, 52755, 54211, 54340, 54372, 54442, 54454, 54810, 54811, 54813, 54829, 60438, 62736, 71572, 71574, 71618, 71627, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71820, 71825, 71854, 79247, 79856, 79857, 82146, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13709 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 217005, 217004, 217003, 217002, 217001, 217000, 216999, 216998, 217006, 217007, 217008, 217009, 217010, 217011 ], "onlineresource_set": [ 95214, 95215 ] }, { "ob_id": 45367, "uuid": "7d7ce210a109408aac52066ef9599bd9", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME NO2 L3 data products version 1", "abstract": "Abstract for precursors morning GOME NO2 L3 data products v1.\r\n\r\nAdditional information to be added.", "creationDate": "2026-02-20T12:06:39.677056", "lastUpdatedDate": "2026-02-20T12:03:36", "latestDataUpdateTime": "2026-02-20T12:03:36", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45366, "uuid": "3466e9e3e72144e5941b35decb36c13a", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection version 1", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors project morning NO2 (nitrogen dioxide) Level 3( L3) data products.\r\n\r\nThe version number is 1. Data are available in NetCDF format." } ], "responsiblepartyinfo_set": [ 217067, 217066, 217065, 217064, 217063, 217062, 217061 ], "onlineresource_set": [] }, { "ob_id": 45368, "uuid": "81185d4545484f3fa53ac01ef1a7410c", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning SCIAMACHY NO2 L3 data products version 1", "abstract": "Abstract for precursors morning SCIAMACHY NO2 L3 data products v1.\r\n\r\nAdditional information to be added.", "creationDate": "2026-02-20T12:06:39.677056", "lastUpdatedDate": "2026-02-20T12:03:36", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45366, "uuid": "3466e9e3e72144e5941b35decb36c13a", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection version 1", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors project morning NO2 (nitrogen dioxide) Level 3( L3) data products.\r\n\r\nThe version number is 1. Data are available in NetCDF format." } ], "responsiblepartyinfo_set": [ 217074, 217073, 217072, 217071, 217070, 217069, 217068 ], "onlineresource_set": [] }, { "ob_id": 45369, "uuid": "685f769eba374f69b445f5487565f1ba", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products version 1", "abstract": "Abstract for precursors morning GOME-2 NO2 L3 data products v1.\r\n\r\nAdditional information to be added.", "creationDate": "2026-02-20T12:06:39.677056", "lastUpdatedDate": "2026-02-20T12:03:36", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 45366, "uuid": "3466e9e3e72144e5941b35decb36c13a", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection version 1", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors project morning NO2 (nitrogen dioxide) Level 3( L3) data products.\r\n\r\nThe version number is 1. Data are available in NetCDF format." } ], "responsiblepartyinfo_set": [ 217081, 217080, 217079, 217078, 217077, 217076, 217075 ], "onlineresource_set": [] }, { "ob_id": 45379, "uuid": "5c8a8297aed24118b23440f6742b860e", "title": "Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 InSAR & GNSS", "abstract": "Surface velocities and strain rates from satellite geodesy have become essential tools for understanding the distribution of tectonic deformation, faulting and seismic hazard. However, across large regions of distributed continental deformation, such as the Alpine-Himalayan Belt, data are only sparsely available. While previous studies have mainly used spatially sparse GNSS to measure deformation at such large scales, these approaches cannot characterize shorter wavelength features of deformation in many places.\r\nWe use Sentinel-1 radar images acquired during 2016-2024 to provide trans-national average surface velocities and time series at 1 km spatial resolution stretching a distance of over 11,000 km from south-western Europe to eastern China, covering an area more than 20 million square kilometres. We produce the velocity field by combining data from over 222,000 Sentinel-1 SAR images with a new belt-wide compilation of GNSS velocities, all combined in a consistent Eurasian reference frame.\r\nHorizontal strain rates are derived from gradients of the velocity field, yielding near-continuous spatial deformation information over the entirety of the largest deforming region on the planet. The horizontal velocities and strains are dominated by tectonic deformation, which has a bimodal behaviour – focused on major faults but distributed elsewhere. Shorter-wavelength vertical velocities are dominated by non-tectonic processes, in particular the widespread over-exploitation of groundwater. Our new velocity and strain rates are foundational data sets that reveal the details of how the continents deform for the first time at transcontinental scale.", "creationDate": "2026-02-23T13:30:18.772782", "lastUpdatedDate": "2026-02-23T13:25:53", "latestDataUpdateTime": "2026-02-23T13:25:53", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\r\n\r\nFunded by: NERC through the Looking into the Continents from Space (LiCS) large Grant (NE/K010867/1)\r\nRoyal Society for their support through a University Research Fellowship (URF/R/211006 & UF150282) and grant (RF/ERE/210143)", "removedDataReason": "", "keywords": "Radar remote sensing, GNSS, Sentinel-1, InSAR, Active Tectonics, Continental Deformation, Faulting, Strain, Seismic Hazard, Earthquakes", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5027, "bboxName": "Alpine Himalayan Belt", "eastBoundLongitude": 122.0, "westBoundLongitude": -10.0, "southBoundLatitude": 20.0, "northBoundLatitude": 52.0 }, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12958, "startTime": "2016-02-01T00:00:00", "endTime": "2024-06-01T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 45380, "uuid": "a552ac7bbe954199848281b68a5e7e34", "short_code": "cmppr", "title": "Composite process for the Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 InSAR & GNSS", "abstract": "The interferograms are processed from Sentinel-1 Level 1 (L1) Synthetic Aperture Radar (SAR) imagery using the Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR) routine, further corrected for troposphere, ionosphere and solid earth tides. The average line-of-sight (LOS) velocities and associated uncertainties are derived from frame-based eight-year time series, which are inverted from networks of short temporal baseline interferograms using the Looking Into Continents from Space with Small Baseline Subset (LiCSBAS) method. The scaled uncertainties are the LOS uncertainties with referencing effects corrected by fitting a spherical, exponential, or linear model to the scatter points between uncertainty and distance from the reference. Further details are provided in Elliott et al. (2026, Remote Sensing of Environment)." }, "imageDetails": [ 222 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 11687, "uuid": "b46fbc668f6547fda79f2899046c29a9", "short_code": "proj", "title": "Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics", "abstract": "The Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET+) represents the Dynamic Earth and Geohazards research group within the National Centre for Earth Observation (NCEO)'s Theme 6 during NCEO phase 1. NCEO phase 1 was is funded by the Natural Environment Research Council (NERC). NCEO phase 2 no longer has the theme 6 within its remit, though COMT+ continues within NERC.\r\n\r\nCOMET+ involves scientists from the University of Oxford, University of Cambridge, University of Leeds, University of Bristol, University oSf Glasgow, University of Reading, and University College London. We aim to combine satellite observations of Earth's surface movements, topography and gas release with terrestrial observations and modelling to advance understanding of the earthquake cycle, continental deformation and volcanic eruptions, and to quantify seismic and volcanic hazards." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 217125, 217115, 217113, 217112, 217111, 217110, 217109, 217108, 217107, 217114, 217116, 217117, 217118, 217119, 217120, 217121, 217122, 217123, 217124 ], "onlineresource_set": [] }, { "ob_id": 45381, "uuid": "31819552d6764b58871507bc20f6b198", "title": "Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.1.0", "abstract": "The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature.\r\n \r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nPrior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent.\r\n \r\nAlthough the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used.\r\n \r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nFor more information on the change in station selection, please refer to the papers supplied with the data collection.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 45385, "dataPath": "/badc/ukmo-cet/data/v2.1.1.0/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3122154, "numberOfFiles": 4, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12962, "startTime": "1772-01-01T00:00:00", "endTime": "2025-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43874, "uuid": "5ade1276557240b18823adae67c07991", "short_code": "cmppr", "title": "Met Office Hadley Centre CET v2 data process", "abstract": "Met Office Hadley Centre CET v2 data process" }, "imageDetails": [ 157 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76039, 76040 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 217150, 217149, 217148, 217147, 217146, 217145, 217144, 217143 ], "onlineresource_set": [ 95225, 95230, 95226, 95227, 95223, 95228, 95224, 95231, 95229, 95232 ] }, { "ob_id": 45382, "uuid": "f157c171195f41b390a9795bd7323299", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.1.1.0", "abstract": "The Central England Temperature (HadCET) daily mean series is anchored to Gordon Manley’s original temperature record prior to 1973. Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nFrom 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation.\r\n \r\nThese static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. \r\n \r\nUrbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time.\r\n \r\nThis dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n\r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 45387, "dataPath": "/badc/ukmo-cet/data/v2.1.1.0/adjustments/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16065, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12963, "startTime": "1878-01-01T00:00:00", "endTime": "2025-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43872, "uuid": "9fdd3f704cfa4e0d8575decd494fb038", "short_code": "comp", "title": "Static adjustment process applied to Hadley Centre Central England Temperature Version 2 Data", "abstract": "A series of adjustments and homogenisations are applied to station data to correct for urbanisation and alignment to the station selection described in Manley 1974. See Legg et al. (2025) for a full description of these processes and adjustments applied. References are available as online references on this record." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57649, 76378, 76379, 76380, 76381, 76382, 76383, 76384, 76385, 76386, 76387, 76388, 76389, 76390, 76391 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 217158, 217157, 217156, 217155, 217154, 217153, 217152, 217151 ], "onlineresource_set": [ 95234, 95233, 95235, 95236, 95237, 95238, 95239, 95240, 95241 ] }, { "ob_id": 45383, "uuid": "0b15342a451947ff884f5b52ec926c1a", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.1.0", "abstract": "The Central England Temperature (HadCET) monthly series start in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe monthly temperature series are derived as the mean of the daily temperature series values.\r\n \r\nFor mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -4.0, "southBoundLatitude": 51.0, "northBoundLatitude": 54.0 }, "verticalExtent": null, "result_field": { "ob_id": 45386, "dataPath": "/badc/ukmo-cet/data/v2.1.1.0/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 154040, "numberOfFiles": 7, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 12964, "startTime": "1659-01-01T00:00:00", "endTime": "2025-12-31T23:59:59" }, "resultQuality": { "ob_id": 4, "explanation": "Data is quality-controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43874, "uuid": "5ade1276557240b18823adae67c07991", "short_code": "cmppr", "title": "Met Office Hadley Centre CET v2 data process", "abstract": "Met Office Hadley Centre CET v2 data process" }, "imageDetails": [ 157 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76324, 76327, 76331, 76333, 76335, 76339, 76342, 76343, 76344, 76345, 76346, 76347, 76348, 76349, 76350, 76351, 76352, 76353, 76354, 76355, 76356, 76357, 76358, 76359, 76360, 76361, 76362, 76363, 76364, 76365, 76366, 76367, 76368, 76369, 76370, 76371, 76372, 76373, 76374, 76375, 76376, 76377 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets will supersede the previous version.\r\n\r\nA provisional version of the CET series, with recent data up to the previous day, is available for download on the Met Office Hadley Centre webpage: https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html . Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 217166, 217165, 217164, 217163, 217162, 217161, 217160, 217159 ], "onlineresource_set": [ 95249, 95242, 95250, 95243, 95244, 95245, 95251, 95246, 95247, 95248 ] }, { "ob_id": 45384, "uuid": "865a70100ed04f6394993349daec7fc5", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.1.0", "abstract": "The Central England Temperature (HadCET) seasonal series starts in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe seasonal temperature series are derived as the mean of the monthly temperature series values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. 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The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 76324, 76325, 76326, 76327, 76328, 76329, 76330, 76331, 76332, 76333, 76334, 76335, 76336, 76337, 76338, 76339, 76340, 76341 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 43588, "uuid": "f1e8696c6d5746e694fde4d6022e5a36", "short_code": "coll", "title": "Met Office Hadley Centre Central England Temperature (HadCET) All Versions Collection", "abstract": "The Central England Temperature (CET) series is the longest available instrumental record of temperature in the world, with the monthly mean temperature extending back to 1659 and the daily mean temperature series extending back to 1772. The daily and monthly minimum and maximum temperature series extend back to 1878.\r\n\r\nThese historical temperature series have been constructed to provide a long running temperature record for the Central England region, a roughly triangular area of the United Kingdom enclosed by Somerset, Lancashire and London. The CET value is then calculated as an average of the recorded temperatures for a few stations which are selected as representative of the region as a whole. Although the selected stations have changed over time, due primarily to station closures, the series is homogenised to ensure that it remains consistent.\r\n\r\nStations used in the construction of the CET series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick.\r\n\r\nStations used in the construction of the CET series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College.\r\n\r\nGordon Manley (1953, 1974) compiled most of the monthly series from 1659 to 1973, and the mean temperature series is adjusted up to 1973 to align with Manley's recorded daily mean temperature values. The series data were updated to 1991 by Parker et al (1992) and comprise the V2 series which is updated with the latest values. For latest updates please see Legg et al (2025).\r\n\r\nAfter 1973, the series is adjusted to extend the alignment with Manley's series. Further adjustments are applied to homogenise the current station selection to that used by Manley as well as to account for urbanisation.\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. 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Link also available in the list of online resources on this record.\r\n\r\nNote: the v1.0.0.0 datasets within the collection on the CEDA archive were originally pulled over monthly from the Met Office Hadley Centre website on a monthly basis until the end of July 2022." } ], "responsiblepartyinfo_set": [ 217174, 217173, 217172, 217171, 217170, 217169, 217168, 217167 ], "onlineresource_set": [ 95255, 95252, 95253, 95256, 95254, 95260, 95257, 95258, 95259, 95261 ] }, { "ob_id": 45405, "uuid": "65bb5fe6a9754256833f7e02adf6d211", "title": "FAAM C440 TEAMxUK flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for TEAMxUK project.", "creationDate": "2026-03-04T11:11:39.759478", "lastUpdatedDate": "2026-03-04T11:11:39.759486", "latestDataUpdateTime": "2026-03-04T11:11:39.759489", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "TEAMxUK, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-09-10T16:16:49", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 5039, "bboxName": "", "eastBoundLongitude": 12.157519, "westBoundLongitude": 10.627432, "southBoundLatitude": 45.602497, "northBoundLatitude": 48.04597 }, "verticalExtent": null, "result_field": { "ob_id": 45404, "dataPath": "/badc/faam/data/2025/c440-jul-26", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4643498387, "numberOfFiles": 25, "fileFormat": "Data are netCDF and NASA-Ames formatted. 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TEAMxUK is the UK component of the TEAMx programme, led by NCAS.\r\nTEAMx is a bottom-up initiative by a number of research institutions and operational centres , supported by a coordination office at the University of Innsbruck and based on national, bi-national and multi-national research projects. It is motivated by recent scientific and technological progresses in observing and modeling small-scale processes in the atmospheric boundary layer.\r\nThe project includes the TEAMx Observational Campaign (TOC) with ground-based in situ, remote sensing and aircraft measurements across various sites in the European Alps, with target areas in the Inn Valley (Austria), the Adige Valley (Italy), the Alpine Crest between these two, and the Alpine Foreland in Germany. This took place from September 2024 to September 2025 with two Extensive Observation Periods (EOPs), one in winter (20 January – 28 February 2025 ) and one in summer (16 June – 25 July 2025)" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 12182, 26714, 50842, 50851, 50853, 50856, 50857, 50865, 50880, 50888, 50889, 50905, 50907, 50911, 50932, 50933, 50934, 50936, 50937, 50942, 50947, 50948, 50949, 50950, 50952, 50953, 50965, 51098, 51156, 51222, 51223, 51225, 51227, 51228, 51229, 51230, 51279, 51280, 53949, 53951, 59964, 59965, 59966, 59967, 59969, 59970, 59971, 59972, 59973, 59974, 59975, 60050, 60052, 60055, 60056, 60058, 60059, 60062, 60063, 60064, 60065, 60066, 60067, 60068, 60071, 60077, 60078, 60079, 60080, 60081, 60087, 60172, 60173, 60204, 60205, 60206, 60207, 60208, 60209, 60213, 60214, 60215, 60216, 60217, 60218, 60219, 60220, 60221, 60224, 60225, 60229, 60231, 60233, 60235, 60236, 60237, 60238, 60239, 60240, 60241, 60242, 60243, 60244, 60245, 60246, 60247, 60248, 60249, 60250, 60251, 60252, 60253, 60254, 60255, 60256, 60257, 60258, 60259, 60260, 60261, 60262, 60263, 60264, 60265, 60266, 60267, 60268, 60272, 60273, 60274, 60275, 60276, 60277, 60278, 60279, 60280, 60281, 60282, 60283, 60284, 60287, 62646, 62647, 62648, 62650, 62651, 62652, 62653, 62654, 62655, 62656, 62657, 62658, 62659, 62660, 62661, 62662, 62663, 62664, 62665, 62666, 65806, 71784, 76048, 76049, 76050, 76051, 76052, 76053, 76054, 79961, 79962, 79963, 79964, 79965, 79966, 86920, 86921, 86922, 86923, 86924, 86925, 92871, 92872, 92873, 92874, 92875, 92876, 92877, 92878 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." }, { "ob_id": 45397, "uuid": "566eb16a01a04767b6156b90cf140b9e", "short_code": "coll", "title": "TEAMxUK: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for TEAMxUK." } ], "responsiblepartyinfo_set": [ 217246, 217245, 217244, 217243, 217242, 217241, 217240, 217239, 217247 ], "onlineresource_set": [ 95262 ] }, { "ob_id": 45410, "uuid": "933ce89626b246b6ade9a9c6a0dcddf5", "title": "Solar-induced Chlorophyll Fluorescence from GOSAT's TANSO-FTS by the University of Leicester (v4.0)", "abstract": "Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP). Dataset contains Level 2 and Level 3 SIF products, using combinations of S and P polarisations, exhibiting variable global coverage for the period between April 2009 and July 2025. Level 2 data are in daily files and are not averaged. Level 3 data are averaged spatially and temporally on monthly and weekly timescales.\r\n\r\nThe SIF data was derived from L1B data from the TANSO-FTS (Thermal and Near Infrared Sensor for carbon Observation - Fourier Transform Spectrometer) instrument on the GOSAT satellite. SIF at top of atmosphere has been extracted from two narrow micro-windows outside the Oxygen A-band, at around 755 nm and 772 nm.\r\n\r\nFor more information on the retrieval setup and bias correction, please see Part II Remote Sensing of Chlorophyll Fluorescence: https://hdl.handle.net/2381/42868.", "creationDate": "2026-03-04T11:42:31.937986", "lastUpdatedDate": "2026-03-05T11:29:48.990076", "latestDataUpdateTime": "2026-03-04T11:42:31.937990", "updateFrequency": "notPlanned", "dataLineage": "These data were produced by the National Centre for Earth Observation at the University of Leicester using the ALICE High Performance Computing Facility. 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