Observation Collection List
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{ "count": 948, "next": null, "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observationcollections/?format=api&limit=100&offset=800", "results": [ { "ob_id": 41517, "uuid": "5572f4746ff74a5089fcdfbe62a6ecb5", "short_code": "coll", "title": "AMCCA: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for AMCCA FAAM Aircraft Project.", "keywords": "AMCCA, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2024-02-29T11:35:46", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41516, "uuid": "699488ed42734c6eb260d6d6d173d56d", "short_code": "ob", "title": "FAAM C365 AMCCA flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for AMCCA FAAM Aircraft Project project." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202307, 202308, 202309, 202310, 202311, 202312, 202313, 202306, 202314, 202315 ], "onlineresource_set": [], "project_set": [ 41514 ] }, { "ob_id": 41567, "uuid": "7479606004d9465bad949671501e5f21", "short_code": "coll", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost version 4 data products", "abstract": "This collection of data forms the Permafrost Climate Research Data Package (CRDP v3), which comprises the Version 4.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) for the period 1997-2021. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "publicationState": "published", "dataPublishedTime": "2024-04-23T15:30:17", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 41270, "uuid": "d34330ce3f604e368c06d76de1987ce5", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled \r\nERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for \r\nthe overlap period 2003-2021 using a pixel-specific statistics for each day of the year." }, { "ob_id": 41269, "uuid": "93444bc1c4364a59869e004bf9bfd94a", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year." }, { "ob_id": 41271, "uuid": "20ec12f5d1f94e99aff2ed796264ee65", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v4.0", "abstract": "This dataset contains v4.0 permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m). \r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS \r\nLand Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled \r\nERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for \r\nthe overlap period 2003-2021 using a pixel-specific statistics for each day of the year." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202626, 202622, 202623, 202624, 202625, 202619, 202620, 202627, 202629, 202628, 202630, 202631, 202632, 202633, 202634, 202635, 202636, 202638, 202639, 202640, 202641, 202642, 202917, 202644, 202918 ], "onlineresource_set": [ 86148, 86173 ], "project_set": [] }, { "ob_id": 41596, "uuid": "7fe9b59b7c12499ba2ede2651b6a8db6", "short_code": "coll", "title": "UK 1.5km NWP meteorological data for Met Office NAME dispersion model", "abstract": "These datasets contain Numerical Weather Prediction (NWP) meteorological data produced by the operational UKV (United Kingdom Variable-resolution) of the Met Office Unified Model. The datasets have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of UK gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, UK, Numerical Weather Prediction", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [], "member": [ { "ob_id": 43199, "uuid": "6d490accd64a4290b9413d5ec94200f9", "short_code": "ob", "title": "UK 1.5km NWP meteorological data for Met Office NAME dispersion model (Mk3: Feb 2015 - Jul 2017)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) meteorological data produced by the operational UKV (United Kingdom Variable-resolution) configuration of the Met Office Unified Model. The files in this dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation from the inner, fixed-resolution domain of the UKV model (this covers the UK area at a spatial resolution of 1.5 km). The UKV model uses a rotated-pole coordinate system. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at hourly resolution for the period Feb 2015 - Jul 2017. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of UK gridded NWP meteorological data is generically useful for a whole range of scientific research and applications." }, { "ob_id": 41588, "uuid": "a1e5dd132fad4e129669e71adeed1ab1", "short_code": "ob", "title": "UK 1.5km NWP meteorological data for Met Office NAME dispersion model (Mk4: Jul 2017 - current)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) meteorological data produced by the operational UKV (United Kingdom Variable-resolution) configuration of the Met Office Unified Model. The files in this dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation from the inner, fixed-resolution domain of the UKV model (this covers the UK area at a spatial resolution of 1.5 km). The UKV model uses a rotated-pole coordinate system. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at hourly resolution for the period Feb 2015 - Jul 2017. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of UK gridded NWP meteorological data is generically useful for a whole range of scientific research and applications." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202716, 202717, 202718, 202719, 202720, 202721, 202723, 202722 ], "onlineresource_set": [ 88060, 88145 ], "project_set": [ 41590 ] }, { "ob_id": 41597, "uuid": "010628b25a9d4bb3beadd841b3feb2e1", "short_code": "coll", "title": "Global NWP meteorological data for Met Office NAME dispersion model", "abstract": "These datasets contain Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The datasets have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, Numerical Weather Prediction, UM", "publicationState": "published", "dataPublishedTime": "2024-10-14T13:12:59", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [], "member": [ { "ob_id": 43389, "uuid": "2bb4d76ed2fa4fc2af3fbbca6eb80965", "short_code": "ob", "title": "Global NWP meteorological data for Met Office NAME dispersion model (Mk9: July 2015 - 2017)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications." }, { "ob_id": 41592, "uuid": "45cb520616fc499c80aefd0b356a81f5", "short_code": "ob", "title": "Global NWP meteorological data for Met Office NAME dispersion model (Mk11: Apr 2022 - current)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications." }, { "ob_id": 41598, "uuid": "7d0fff9f59b94a3da347e3ae10bd8fc1", "short_code": "ob", "title": "Global NWP meteorological data for Met Office NAME dispersion model (Mk10: June 2017 - May 2022)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202724, 202725, 202726, 202727, 202728, 202729, 202730, 202731 ], "onlineresource_set": [ 88126, 88059 ], "project_set": [ 41590 ] }, { "ob_id": 41613, "uuid": "779f116d0477439db1874592add5848c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 09.1 data collection", "abstract": "Soil Moisture data (version 09.1) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31 and the ACTIVE product covering 1991-08-05 to 2023-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "published", "dataPublishedTime": "2024-10-03T15:37:06", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 41610, "uuid": "5b1caf9095d7412282f5ba6b558034e3", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 09.1", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v09.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." }, { "ob_id": 43056, "uuid": "7c95469ae2b7454cb389fc18ff5ce26b", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 09.1", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v09.1 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer (i.e. active remote sensing) and radiometer (i.e. passive remote sensing) soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." }, { "ob_id": 41612, "uuid": "0e346e1e1e164ac99c60098848537a29", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 09.1", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v09.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." }, { "ob_id": 41611, "uuid": "ca55ac11fc814b0d95e68a34a10539c1", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.1", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v09.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202826, 202827, 202828, 202829, 202830, 202831, 202832, 202833, 202834, 202835, 202836, 202837, 202838, 202839, 202840, 202841, 202842, 202843, 202844, 205505 ], "onlineresource_set": [ 88088, 88089, 88090, 86210, 86211, 86212, 86213, 86214 ], "project_set": [ 13332 ] }, { "ob_id": 41635, "uuid": "9a20b7a8d86d4af2a824edaa93649e74", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR2 Multimission land and sea surface data. These data result from the 3rd reprocessing second pass and are tagged v3.0.1.\r\n\r\nThe instrument used thermal channels at 1.6, 3.7, 10.8, and 12 microns wavelength and no visible channels. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "keywords": "ATSR-1, AATSR-multimission, temperature, reflectance, satellite", "publicationState": "published", "dataPublishedTime": "2024-05-30T08:24:21", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 99 ], "discoveryKeywords": [], "member": [ { "ob_id": 41637, "uuid": "122a21a0ffe14051b4b6eed752480c36", "short_code": "ob", "title": "ATSR-1: Gridded Surface Temperature (GST) Product (AT1_NR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Surface Temperature (GST) Product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThe contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files." }, { "ob_id": 41632, "uuid": "23acd3f409e6420daff30c1dab874c1b", "short_code": "ob", "title": "ATSR-1: Average Surface Temperature (AST) Product (AT1_AR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Average Surface Temperature (AST) Product. These data are the Level 2 spatially averaged geophysical product derived from Level 1B product and auxiliary data. This data is from the 3rd reprocessing and tagged v3.0.1\r\n\r\nThere are two types of averages provided: 10 arcminute cells and 30 arcminute cells. All cells are present regardless of the surface type. Hence, the sea (land) cells would also have the land (sea) records even though these would be empty. Cells containing coastlines will have both valid land and sea records; the land (sea) record only contains averages from the land (sea) pixels. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files." }, { "ob_id": 41638, "uuid": "b13fe2c503d34d6297440de27af5ed90", "short_code": "ob", "title": "ATSR-1: Gridded Brightness Temperature/Reflectance (GBTR) product (AT1_TOA_1P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. \r\n\r\nThe product was calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product were derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202909, 202910, 202911, 202904, 202905, 202906, 202907, 202908 ], "onlineresource_set": [ 86248, 86249, 86250, 86251, 86244, 86245, 86246, 86247, 86231, 86229, 86234, 86230, 86232, 86233, 86236, 86235, 86238, 86237, 86239, 86240, 86241, 86242, 86243, 86252, 86253 ], "project_set": [] }, { "ob_id": 41661, "uuid": "debfbf49823f4eb99ab0a578f8b25136", "short_code": "coll", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climate Data Record version 3.0", "abstract": "The European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature (ESA SST_cci) Climate Data Record (CDR) accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and UK Marine and Climate Advisory Service (UKMCAS).\r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are:\r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016)\r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors)\r\n\r\n* Improved retrieval with respect to desert-dust aerosols\r\n\r\n* Addition of dual-view SLSTR data from 2016 onwards\r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s\r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data)\r\n\r\n* Inclusion of L2P passive microwave AMSR data\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper:\r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w", "keywords": "ESA, CCI, SST, CDR v3.0", "publicationState": "published", "dataPublishedTime": "2024-05-22T10:42:22", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 137 ], "discoveryKeywords": [], "member": [ { "ob_id": 40864, "uuid": "61b7a51d72b54692890d45818307d72f", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Uncollated (L3U) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), presented on a 0.05° latitude-longitude grid, and spanning 2016 to 2021. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40861, "uuid": "c1d393f990fb4b6688b048222833d92f", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), presented on a 0.05° latitude-longitude grid, and spanning 1980 to 2021. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40862, "uuid": "be418645dfa542df86165a7caad24284", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), daily collations on a 0.05° latitude-longitude grid, spanning 1980 to present, and separated into daytime and night-time files. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 2 Preprocessed (L2P) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L2P product provides these SST data on the original satellite swath with a single orbit of data per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SST's to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR Version 2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 27519, "uuid": "2282b4aeb9f24bc3a1e0961e4d545427", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. The L3U products provide these SST data on a 0.05 regular latitude-longitude grid with with a single orbit per file.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 and the Long Term product v1.1. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 40863, "uuid": "f4151599eb7b491c9f4ce75489eb8b1e", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 2 Pre-processed (L2P) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), presented on the native geometry of observation, and spanning 2016 to 2021. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 27522, "uuid": "5db2099606b94e63879d841c87e654ae", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.1", "abstract": "This v2.1 SST_cci Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record (CDR) consists of stable, low-bias sea surface temperature (SST) data from the ATSR series of satellite instruments. It covers the period between 11/1991 and 04/2012. This L3C product provides these SST data on a 0.05 regular latitude-longitude grid and collated to include all orbits for a day (separated into daytime and nighttime files).\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThis CDR Version 2.1 product supercedes the CDR v2.0 product. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, { "ob_id": 40860, "uuid": "ec659b31a8ca40918e58ec6d03af07a6", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 2 Pre-processed (L2P) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Very High Resolution Radiometers (AVHRR), presented on the native geometry of observation, and spanning 1980 to 2021. \r\n\r\nThe SST CCI AVHRR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40866, "uuid": "4a9654136a7148e39b7feb56f8bb02d2", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis product, version 3.0", "abstract": "This dataset provides daily-mean sea surface temperatures (SST), presented on global 0.05° latitude-longitude grid, spanning 1980 to present. This is a Level 4 product, with gaps between available daily observations filled by statistical means.\r\n\r\nThe SST CCI Analysis product contains estimates of daily mean SST and sea ice concentration. Each SST value has an associated uncertainty estimate. \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.1 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n\r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n\r\n* Improved retrieval with respect to desert-dust aerosols \r\n\r\n* Addition of dual-view SLSTR data from 2016 onwards \r\n\r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n\r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n\r\n* Inclusion of L2P passive microwave AMSR data \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40859, "uuid": "15a170dad3064fefa8936bd50877a93e", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Microwave Scanning Radiometer (AMSR) Level 2 Pre-processed (L2P) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Advanced Microwave Scanning Radiometers (AMSR), presented on the native geometry of observation (Level 2), and spanning 2002 to 2017. \r\n\r\nThe SST CCI AMSR product contains two different SST estimates. The first is the subskin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. Additionally, the AMSR files contain a satellite estimate of the surface wind speed. \r\n \r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40867, "uuid": "62800d3d2227449085b430b503d36b01", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Climatology product, version 3.0", "abstract": "This dataset provides daily climatological mean sea surface temperature (SST) on a global 0.05° latitude-longitude grid, derived from the SST CCI analysis data for the period 1991 to 2020 (30 years). \r\n\r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nThis CDR Version 3.0 product supersedes the CDR v2.2 product. Compared to the previous version the major changes are: \r\n\r\n* Longer time series: 1980 to 2021 (previous CDR was Sept 1981 to 2016) \r\n* Improved retrieval to reduce systematic biases using bias-aware optimal methods (for single view sensors) \r\n* Improved retrieval with respect to desert-dust aerosols \r\n* Addition of dual-view SLSTR data from 2016 onwards \r\n* Addition of early AVHRR/1 data in 1980s, and improved AVHRR processing to reduce data gaps in 1980s \r\n* Use of full-resolution MetOp AVHRR data (previously used ‘global area coverage’ Level 1 data) \r\n* Inclusion of L2P passive microwave AMSR data \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" }, { "ob_id": 40865, "uuid": "a104ed92bddd4c56b11127d4cc49b8d4", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Sea and Land Surface Temperature Radiometer (SLSTR) Level 3 Collated (L3C) product, version 3.0", "abstract": "This dataset provides global sea surface temperatures (SST) from Sea and Land Surface Temperature Radiometers (SLSTR), daily collations on a 0.05° latitude-longitude grid, spanning 2016 to present, and separated into daytime and night-time files. \r\n\r\nThe SST CCI SLSTR product contains two different SST estimates. The first is the skin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. \r\n \r\nThe dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. \r\n\r\nData from 2022 onwards are provided as an Interim Climate Data Record (ICDR) and will be updated daily at one month behind present. The Copernicus Climate Change Service (C3S) funded the development of the ICDR extension and production of the ICDR during 2022. From 2023 onwards the production of the ICDR is funded by the UK Earth Observation Climate Information Service (EOCIS) and Marine and Climate Advisory Service (MCAS). \r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nEmbury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 202995, 202996, 202997, 202998, 202999, 203000, 203001, 203002, 203007, 203008, 203003, 203004, 203009, 203005, 203010 ], "onlineresource_set": [ 86286, 86287, 86288, 86289, 86290, 86291, 86555 ], "project_set": [] }, { "ob_id": 41667, "uuid": "457a3c58a8f04b4d973e15708fe4e868", "short_code": "coll", "title": "Department for Energy Security and Net Zero (DESNZ) Research", "abstract": "This data collection contains environmental datasets produced through research projects funded by the Department for Energy Security and Net Zero (DESNZ).", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 227 ], "discoveryKeywords": [], "member": [ { "ob_id": 41421, "uuid": "3acecae819b84507ad4d62f87cf35155", "short_code": "ob", "title": "Met Office Wind-Driven Rain (WDR)", "abstract": "This dataset contains the annual index of wind-driven rain (sum of all wind-driven rain spells in each year) derived from the UK Climate Projections (UKCP18) for a range of future global warming levels provided on a 5 km British National Grid (BNG). The annual index is calculated for eight wall orientations corresponding to the cardinal and ordinal points of the compass. \r\n\r\nWind-driven rain occurs when falling rain is blown by a horizontal wind so that it falls diagonally towards the ground. The annual index of wind-driven rain is the sum of all wind-driven rain spells for a given wall orientation and time period. It’s measured as the volume of rain blown from a given direction in the absence of any obstructions, with units of litres per square metre per year.\r\n\r\nWind-driven rain is calculated from hourly weather and climate data using an industry-standard formula from ISO 15927–3:2009, which is based on the product of wind speed and rainfall totals. Wind-driven rain is only calculated if the wind would strike a given wall orientation. A wind-driven rain spell is defined as a wet period separated by at least 96 hours with little or no rain (below a threshold of 0.001 litres per m2 per hour).\r\n\r\nThe annual index of wind-driven rain is calculated for a baseline (historical) period of 1981-2000 (corresponding to 0.61°C warming) and for global warming levels of 2.0°C and 4.0°C above the pre-industrial period (defined as 1850-1900). The warming between the pre-industrial period and baseline is the average value from six datasets of global mean temperatures available on the Met Office Climate Dashboard: https://climate.metoffice.cloud/dashboard.html.\r\n\r\nThe magnitudes of 1 in 3 year wind-driven rain spells (i.e. wet spells that would be expected to occur, on average, once every three years) are used to divide the UK into four zones in Approved Document C of the buildings regulations. The magnitudes of 1 in 3 year wind-driven rain spells were calculated for the baseline period (1981-2000) and 20-year periods corresponding to 2°C and 4°C of warming. The magnitudes of all wet spells (here, sum of hourly values of the wind-driven rain metric, I) were calculated, and the largest wet spell in each year was found (in the accompanying report, the magnitude of a wet spell is given the symbol Is' [\"Is prime\"] and has units of litres per metre-squared per spell). For each time period, the largest spells in all years and ensemble members were pooled together. A Gumbel distribution was fitted to the pooled data and used to estimate the magnitude of the 1 in 3 year wet spells across the UK.\r\n\r\nWind-driven rain is required for buildings standards. It is a major source of moisture in walls. Areas subject to very high levels of wind-driven rain may not be suitable for cavity-wall insulation. Under certain circumstances, cavity-wall insulation can enhance the transfer of moisture through walls to the inside of a building causing mould and damp problems." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 203043, 203044, 203045, 203046, 203047, 203048, 203049, 203050 ], "onlineresource_set": [ 86296 ], "project_set": [] }, { "ob_id": 41683, "uuid": "07cdd23c7b57433fbb0634c53e777d6b", "short_code": "coll", "title": "CCREST-M: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for CCREST-M FAAM Aircraft Project.", "keywords": "CCREST-M, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2024-03-18T17:15:36", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 41750, "uuid": "67911f14d0a24d7ea8866eaf4575e9f5", "short_code": "ob", "title": "FAAM C382 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 25th March 2024 over the UK." }, { "ob_id": 41682, "uuid": "91b93025d23d4074b03c4df6f2366d5d", "short_code": "ob", "title": "FAAM C367 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for CCREST-M FAAM Aircraft Project project." }, { "ob_id": 41726, "uuid": "c4699fec436342a9a166f8d0873b6488", "short_code": "ob", "title": "FAAM C376 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 13th March 2024 over the UK." }, { "ob_id": 41706, "uuid": "9b124a4ae64046d383b3944527a4f7c3", "short_code": "ob", "title": "FAAM C371 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 22nd February 2024 over the UK." }, { "ob_id": 41702, "uuid": "33d74a113aae41568c23dcf1c606a3bb", "short_code": "ob", "title": "FAAM C370 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 22nd February 2024 over the UK." }, { "ob_id": 41718, "uuid": "7892db5c68104a0c9caf99bc59337647", "short_code": "ob", "title": "FAAM C374 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 28th February 2024 over the UK." }, { "ob_id": 41738, "uuid": "34356e24f93545beb52620bd33a80a71", "short_code": "ob", "title": "FAAM C379 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 19th March 2024 over the UK." }, { "ob_id": 41742, "uuid": "44090a2e3c26411d8c468ea2c28745a3", "short_code": "ob", "title": "FAAM C380 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 20th March 2024 over the UK." }, { "ob_id": 41730, "uuid": "c531b0b149f14cb5b52a2f898d2dcbc7", "short_code": "ob", "title": "FAAM C377 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 13th March 2024 over the UK." }, { "ob_id": 41694, "uuid": "c188ae131147468cbb26fcdab903e74d", "short_code": "ob", "title": "FAAM C368 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 20th February 2024 over the UK." }, { "ob_id": 41734, "uuid": "13bee496d8a6411ebfc68afd2c43bf0c", "short_code": "ob", "title": "FAAM C378 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 18th March 2024 over the UK." }, { "ob_id": 41722, "uuid": "9efab1c65b414915913d7867b8a1bb75", "short_code": "ob", "title": "FAAM C375 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 8th March 2024 over the UK." }, { "ob_id": 41714, "uuid": "c752783bee3d48e7bcdbcab7b50bb95e", "short_code": "ob", "title": "FAAM C373 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 27th February 2024 over the UK." }, { "ob_id": 41710, "uuid": "29fc3e20254b4b4e9890b6fe80772255", "short_code": "ob", "title": "FAAM C372 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 23rd February 2024 over the UK." }, { "ob_id": 41698, "uuid": "113dc7f398b7405584224ad758237043", "short_code": "ob", "title": "FAAM C369 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on 21st February 2024 over the UK." }, { "ob_id": 41746, "uuid": "657fd962660347de91f477ee61c70207", "short_code": "ob", "title": "FAAM C381 CCREST-M flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Characterising CiRrus and icE cloud acrosS the spectrTrum (CCREST-M) project. This flight took place on the 21st March 2024 over the UK." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 203116, 203117, 203118, 203119, 203120, 203121, 203122, 203123, 203124, 203125 ], "onlineresource_set": [], "project_set": [ 41680 ] }, { "ob_id": 43018, "uuid": "38a7bf730db84cd9951fd4f71f386563", "short_code": "coll", "title": "RAL Ozone collection", "abstract": "A collection of satellite retrieved ozone products produced by the Remote Sensing Group at RAL Space, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). Ozone products were derived from radiances measured by the UV-visible Global Ozone Monitoring Experiment (GOME) class of instruments: GOME, SCIAMACHY, OMI, GOME-2(A-C), TROPOMI (Sentinel-5P), Sentinel-4 and 5.\r\n\r\nThe original GOME was an instrument aboard ERS-2 (1995). The main scientific objective of the mission was to measure the global distribution of ozone and several trace gases that play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2. This has been continued since 1995 with various European follow-on instruments.\r\n\r\nAlgorithm development and data processing was primarily funded by UK National funding, initially through the Data Assimilation Research Centre (DARC) and then NCEO, both under the UK Natural Environment Research Council (NERC). Additional funding has been provided from numerous contracts, including from ESA and EUMETSAT studies, the ESA Climate Change Initiative (CCI) and EU Copernicus Climate Change Service (C3S) and the UK Earth Observation Climate Information Service (EOCIS). Input datasets were provided by ESA, EUMETSAT and ECMWF.", "keywords": "ozone, tropospheric ozone, satellite, observation", "publicationState": "published", "dataPublishedTime": "2025-05-01T16:13:29", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 228 ], "discoveryKeywords": [], "member": [ { "ob_id": 40102, "uuid": "cd9c74cb24c245c7b27ea0f1f66c835f", "short_code": "ob", "title": "GOME-2: Vertical Profiles of Ozone and other Trace Gases - Ozone profiles Version 3.00", "abstract": "The Global Ozone Monitoring Experiment - 2 (GOME-2) is an instrument aboard the Metop series of satellites. The main scientific objective of the GOME-2 mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 3.00 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME-2 on-board Metop-A. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles." }, { "ob_id": 40105, "uuid": "91d3ce592aae4215ba57c1f36e6d04c4", "short_code": "ob", "title": "GOME: Vertical Profiles of Ozone and other Trace Gases - Ozone Profiles Version 3.01", "abstract": "The Global Ozone Monitoring Experiment (GOME) was an instrument aboard the European Remote Sensing satellite 2 (ERS-2). The main scientific objective of the GOME mission is to measure the global distribution of ozone and several trace gases which play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2.\r\n\r\nThis dataset contains version 3.01 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the GOME on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles." }, { "ob_id": 44312, "uuid": "1bb6e56ea0814126952c45214b8e8f7f", "short_code": "ob", "title": "Vertical Profiles of Ozone and other Trace Gases from OMI AURA - Version 2.14", "abstract": "This dataset contains version 2.14 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the OMI on-board AURA." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 215124, 204385, 204386, 204387, 204388, 204389, 204390, 211563 ], "onlineresource_set": [ 92962, 92963, 92964 ], "project_set": [] }, { "ob_id": 43166, "uuid": "bdd9d16429934093bc31f8df69af7fbb", "short_code": "coll", "title": "MOYA project EM27/SUN measurement site in Jinja, Uganda", "abstract": "These datasets consist of green house gas column concentrations from both climate model simulations and ground based measurements covering the Jinja site in Uganda for the Methane Observations and Yearly Assessments (MOYA) project.", "keywords": "column concentrations, greenhouse gases, GEOS-Chem, Uganda, MOYA", "publicationState": "published", "dataPublishedTime": "2024-09-11T16:13:06", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 43114, "uuid": "7a8d0936ba1e4e1a8689c9e9010b43b2", "short_code": "ob", "title": "Ground-based greenhouse gas column concentrations from Jinja, Uganda, January to April 2020", "abstract": "These data comprise remotely sensed column concentrations of greenhouse gases over Jinja, Uganda, covering the period spanning January to April 2020. A Bruker EM27/SUN spectrometer and solar tracker were used to make the measurements, which were then processed into column concentrations of carbon dioxide, methane, and carbon monoxide using the PROFFAST retrieval code developed through the COllaborative Carbon Column Observing Network (COCCON) programme at the Karlsruhe Institute of Technology. The data were collected to provide a source of validation for satellite data products, and for outputs from atmospheric chemistry and transport models. The data were collected and processed by Neil Humpage at the University of Leicester, in collaboration with William Okello at the National Fisheries Resources Research Institute who provided the measurement site." }, { "ob_id": 43139, "uuid": "7ecc607cb09747a59da6f46a0635f469", "short_code": "ob", "title": "CH4 column concentrations calculated from a high-res GEOS-Chem model run for Uganda, January to April 2020", "abstract": "These data comprise methane (CH4) column concentrations calculated from a GEOS-Chem model run, performed in a nested configuration at high spatial resolution (0.25deg x 0.3125deg latitude-longitude) centred on Uganda. The data included in the netCDF4 files cover a 6.0deg x 8.0deg box centred approximately on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja. \r\n\r\nFor the a priori methane emissions inside the nested domain the EDGAR v4.3.2 database is used for anthropogenic emissions, the WetCHARTS dataset for emissions from wetlands, and the GFAS database for daily biomass burning emissions. The boundary conditions for the nested domain come from a global GEOS-Chem model run at lower spatial resolution (2.0deg x 2.5deg latitude-longitude). An ensemble Kalman Filter system is used to perform the inversion. Two netCDF4 files are included: one where we just use the a priori emissions to determine the CH4 fluxes in the model domain, and one where TROPOMI CH4 (satellite observation) data is used to constrain the emissions.\r\n\r\nEDGAR - Emissions Database for Global Atmospheric Research (linked in the Details/Docs section)\r\nWetCHARTs - Wetland Methane Emissions and Uncertainty (linked in the Details/Docs section)\r\nGFAS - Global Fire Assimilation System (linked in the Details/Docs section)\r\nTROPOMI - TROPOspheric Monitoring Instrument" }, { "ob_id": 43136, "uuid": "925816bd869644ad9fe9b877d8f42d30", "short_code": "ob", "title": "CO2 column concentrations from GEOS-Chem, covering East Africa from January to April 2020", "abstract": "These model data include column concentrations of carbon dioxide (CO2) calculated using the GEOS-Chem atmospheric chemistry and transport model, covering a region over East Africa centred on the Methane Observations and Yearly Assessments (MOYA) project EM27/SUN measurement site in Jinja, Uganda. The period modelled coincides with the EM27/SUN measurement dates, covering all days from 23rd January to 19th April 2020. \r\n\r\nA global GEOS-Chem model run was used on a 2.0deg x 2.5deg latitude-longitude grid with 47 vertical levels. Emissions inventories are used for the a priori flux estimates, taking into account CO2 emissions from biomass burning, fossil fuels, ocean fluxes, and biosphere fluxes. An ensemble Kalman Filter approach is used to estimate the CO2 fluxes, with either in-situ or satellite measurements of atmospheric CO2 (one .nc file for each) used as prior information on concentration. These calculations were performed by Liang Feng of the National Centre for Earth Observation, University of Edinburgh." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 205102, 205103, 205104, 205105, 205106, 205107, 205108 ], "onlineresource_set": [ 87961 ], "project_set": [ 24718 ] }, { "ob_id": 43180, "uuid": "28e69487b3834378b8c6c363ffc528f5", "short_code": "coll", "title": "__MUST_UPDATE__20240917093859__ AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "keywords": "AATSR, temperature, reflectance, satellite ", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 114 ], "discoveryKeywords": [], "member": [ { "ob_id": 8147, "uuid": "5c433d03503b6afea005488b582c72fd", "short_code": "ob", "title": "AATSR: L2P Product (AATSR L2P) sea surface temperature values, v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite L2P product. These data are full resolution data with dual-view Sea Surface Temperature (SST) values. \r\n\r\nVersion 3.0 of this dataset is produced with the ARC L2P processor version 1.2, which replaces the ARC SST processor. The processor applies its own algorithm to generate SST data from the Level 1B Data. This method differs from that used to produce the Gridded Surface Temperature (GST) products. This product also includes the ATSR Saharan Dust index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm." }, { "ob_id": 8125, "uuid": "ebb0efd3bf06d7d0472503729201e624", "short_code": "ob", "title": "AATSR: Gridded Surface Temperature (GST) product (ATS_NR__2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Gridded Surface Temperature (GST) product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThe contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 8089, "uuid": "008ad14a19d37cc23286a38ed7627522", "short_code": "ob", "title": "AATSR: Three Band Colour Composite Browse Product (ATS_AST_BP), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Three Band Colour Composite Browse Product. These data are 3 band colour composite, quick-look images at coarse resolution. \r\n\r\nThis product has been derived from the Level 1B product and auxiliary data. The three bands are selected to best show the feature of the image, and it could vary between daylight time and night time. It also includes geolocation grid. The third reprocessing was done to implement updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 8161, "uuid": "931156948d9e417e1a271974d133f5b7", "short_code": "ob", "title": "AATSR: Level 2 University of Leicester Land Surface Temperature (LST) product (UOL_LST_2P), v2.1", "abstract": "Land Surface Temperature (LST) Level 2 data products (UOL_LST_2P) from the Advanced Along Track Scanning Radiometer (AATSR) produced by the University of Leicester. \r\n\r\nThe data consists of a Level 2 1km resolution AATSR-orbit based product at a pre-defined set of spatial and temporal resolutions. The product provide AATSR-derived land surface temperature data and its associated uncertainty, as wall as additional auxiliary information.\r\n\r\nLevel 2 products were produced under contract to the European Space Agency and constitute part of the official (A)ATSR multimission product from version 3 of that dataset. Funding from NERC and the National Centre for Earth Observation (NCEO) also helped in the development of this product and enabled the production of the derived Level 3 products. Both products are NetCDF formatted. For further information on the formats of each of the products please see their product user guides." }, { "ob_id": 8156, "uuid": "84b0200944d5eca9b57aa6370429f23c", "short_code": "ob", "title": "AATSR: Level 3 University of Leicester Land Surface Temperature (LST) product (UOL_LST_3P), v2.1", "abstract": "Land Surface Temperature (LST) Level 3 gridded data products (UOL_LST_3P) from the Advanced Along Track Scanning Radiometer (AATSR) produced by the University of Leicester. \r\n\r\nThe data consists of global gridded Level 3 product at a pre-defined set of spatial and temporal resolutions. The product provide AATSR-derived land surface temperature data and its associated uncertainty, as wall as additional auxiliary information.\r\n\r\nThe gridded level 3 product has been derived from the 1km Level-2 AATSR Version 3 LST product (UOL_LST_2P). The Level 3 gridded product was produced under funding from the National Centre for Earth Observation (NCEO)." }, { "ob_id": 8142, "uuid": "fcf76f049fc4ef9e263aafedc76259d5", "short_code": "ob", "title": "AATSR: L3U Product (AATSR L3U) sea surface temperature values, v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) sea surface temperature values on ESA ENVISAT satellite L3U product. These data are newly introduced product in the third reprocessing of (A)ATSR multimission data.\r\n\r\nIt is produced by the new ARC L2P processor version 1.2 that also produced the new L2P data. The L3U product is produced through averaging the L2P data onto a regular grid at 30 arcminute resolution. Hence, the L3U product is similar to the AST/METEO product." }, { "ob_id": 8074, "uuid": "514e5dfbef651f336862ae5ca0424e86", "short_code": "ob", "title": "AATSR: Sea Surface Temperature Meteo Product (ATS_MET_2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Spatially Averaged Sea Surface Temperature Product for Meteo Users. These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product. \r\n\r\nThe product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 8108, "uuid": "e05b507ee79b11cf8c12486ae9ac5404", "short_code": "ob", "title": "AATSR: Gridded Brightness Temperature/Reflectance (GBTR) product (ATS_TOA_1P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. \r\n\r\nThe product is calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product is derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." }, { "ob_id": 8084, "uuid": "644af662c4b8c1d6492c1b4f9bf4bf51", "short_code": "ob", "title": "AATSR: Averaged Surface Temperature (AST) product (ATS_AR__2P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Average Surface Temperature (AST) product. These data are the Level 2 spatially averaged geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThere are two types of averages provided: 10 arcminute cells and 30 arcminute cells. All cells are present regardless of the surface type. Hence, the sea (land) cells would also have the land (sea) records even though these would be empty. Cells containing coastlines will have both valid land and sea records; the land (sea) record only contains averages from the land (sea) pixels. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 205341, 205342, 205343, 205344, 205345, 205346, 205347, 205348 ], "onlineresource_set": [ 87991, 87970, 87971, 87965, 87975, 87966, 87967, 87972, 87968, 87969, 87973, 87974, 87976, 87980, 87977, 87978, 87979, 87981, 87983, 87982, 87984, 87985, 87986, 87987, 87988, 87989, 87990 ], "project_set": [] }, { "ob_id": 43181, "uuid": "0723f37f8ea3474c8b3f7b1dbdf7618d", "short_code": "coll", "title": "ATSR-2 Multimission land and sea surface data, 4th reprocessing", "abstract": "The Along-Track Scanning Radiometer (ATSR) missions were funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis ATSR 2 product [AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of Earth Resource Satellite (ERS) ATSR 1 data and a precursor of Sentinel-3 SLSTR (Sea and Land Surface Temperature Radiometer) data. ATSR2 is an evolution of ATSR1 in that it has additional visible and IR channels. This AT_1_RBT product replaces the former L1B product [AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data for UK users.", "keywords": "ATSR-2, AATSR-multimission, temperature, reflectance, satellite", "publicationState": "published", "dataPublishedTime": "2025-03-24T11:18:55", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 114 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1142, "name": "NDGO0005" } ], "member": [ { "ob_id": 43344, "uuid": "dcad505a8203486e8a3b530a6dff00ca", "short_code": "ob", "title": "ATSR-2: Multimission land and sea surface temperature data. Fourth Reprocessing (v4) AT_1_RBT", "abstract": "The Along Track Scanning Radiometer2 (ATSR2) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe ERS2 ATSR2 Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis A/ATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. \r\n\r\nThe 4th reprocessing of Envisat AATSR data was completed in 2022." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 205349, 205350, 205351, 205352, 205353, 205354, 205355, 205356 ], "onlineresource_set": [ 88003, 87992, 87993, 88004, 87994, 87995, 87996, 88005, 87997, 88012, 87998, 87999, 88006, 88000, 88001, 88002, 88007, 88013, 88008, 88009, 88010, 88014, 88011, 88015, 88016 ], "project_set": [ 7803 ] }, { "ob_id": 43182, "uuid": "b05e83750f7d408c897386757136e8d6", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, 4th reprocessing", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis ATSR1 product [AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of Earth Resource Satellite (ERS) ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [AT1_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022. The reprocessed data includes improvements to calibration and data format.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data and allows for access via JASMIN.", "keywords": "ATSR-1, AATSR-multimission, temperature, reflectance, satellite", "publicationState": "published", "dataPublishedTime": "2025-03-24T11:21:59", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 114 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1142, "name": "NDGO0005" } ], "member": [ { "ob_id": 43622, "uuid": "6822dc77dcd34c85b015d5f8b40b4ce9", "short_code": "ob", "title": "ATSR-1: Multimission land and sea surface temperature data, 4th Reprocessing (v4) AT_1_RBT", "abstract": "The Along Track Scanning Radiometer1 (ATSR1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe ERS1 ATSR1 Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis A/ATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. \r\n\r\nThe 4th reprocessing of ERS-1 ATSR-1 data was completed in 2023." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 205357, 205358, 205359, 205360, 205361, 205362, 205363, 205364 ], "onlineresource_set": [ 88026, 88017, 88018, 88027, 88019, 88033, 88020, 88021, 88028, 88022, 88023, 88024, 88029, 88025, 88030, 88034, 88031, 88038, 88032, 88035, 88036, 88037, 88039, 88041, 88040 ], "project_set": [ 7803 ] }, { "ob_id": 43269, "uuid": "9177e927f0664da9bf1e25f57561d0d8", "short_code": "coll", "title": "IPCC Sixth Assessment Report (AR6) Synthesis Report (SYR)", "abstract": "This dataset collection contains datasets relating to the figures found in the Synthesis Report (SYR) of the IPCC Sixth Assessment Report (AR6).\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 2.4\r\n- data for Figure 2.5\r\n- data for Figure 3.2\r\n- data for Figure 3.3\r\n- data for Figure 3.4\r\n- data for Figure 3.5\r\n- data for Figure 3.6", "keywords": "IPCC, AR6, Synthesis Report, SYR", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 218 ], "discoveryKeywords": [], "member": [ { "ob_id": 37385, "uuid": "4394898334094551bfb29fb37d2f054c", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.2 (v20220610)", "abstract": "Data for Figure 3.2 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.2 shows changes in surface temperature for different paleoclimates.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three subpanels, the data provided for all panels in subdirectories named panel_a, panel_b, panel_c\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n For panel (a):\r\n - PMIP3 global temperature anomalies over continents and oceans reconstruction sites\r\n - PMIP4 CMIP6 global temperature anomalies over continents and oceans reconstruction sites\r\n - PMIP4 non-CMIP6 global temperature anomalies over continents and oceans reconstruction sites\r\n - Tierney 2020 reconstructions of marine temperature\r\n - Cleator 2020 reconstructions of continental temperature\r\n \r\n For panel (b):\r\n - CMIP5 temperature data for paleoclimate periods\r\n - CMIP6 temperature data for paleoclimate periods\r\n - non-CMIP temperature data for paleoclimate periods\r\n - Instrumental observational and observations from reconstructions\r\n \r\n For panel (c):\r\n - Volcanic forcing from TS17, CU12, GRA08\r\n - CMIP6 GMST anomaly with respect to 1850-1900 modelled with TS17 volcanic forcing\r\n - CMIP5 GMST anomaly with respect to 1850-1900 modelled with CU12 volcanic forcing\r\n - CMIP5 GMST anomaly with respect to 1850-1900 modelled with GRA08 volcanic forcing\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/temperature_anomalies_scatter_points.csv relates to the scatter points and their standard deviation for panel (a)\r\n - For panel (b) the datasets are stored as following panel_b/temperature_{color}_{marker}_{period}_{model_group}_{additional_info}.csv and relates to the scatter points for panel (b).\r\n - For panel (c) the data is stored in panel_c/gmst_changes_paleo_volcanic_forcings.csv and relates to red, green, blue and black lines on the panel as well as grey shadings.\r\n Additional information about data provided in relation to figure in files headers.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project.\r\nPMIP4 is the Paleoclimate Modelling Intercomparison Project phase 4\r\nPMIP3 is the Paleoclimate Modelling Intercomparison Project phase 3\r\n\r\n ---------------------------------------------------\r\n Temporal Range of Paleoclimate Data\r\n ---------------------------------------------------\r\n This dataset covers a paleoclimate timespan from 56 Ma (56 million years ago) to 2010.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data.\r\n ---------------------------------------------------\r\n For panel (a) the error bar should be plotted as anomalies from columns 2/4 +/- standard deviation. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo\r\n - Link to the figure on the IPCC AR6 website." }, { "ob_id": 33164, "uuid": "b6ca8b2d797348dd86823cfc2da7ba83", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.5 (v20211001)", "abstract": "Data for Figure 3.5 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.5 shows the standard deviation of annually averaged zonal-mean near-surface air temperature.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\nWhen citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n - Simulated (CMIP6) standard deviation of near-surface air temperature\r\n - Observed standard deviation of near-surface air temperature\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nDatafile: fig_3_5.nc, black lines:\r\n - HadCRUT5: model = 62\r\n - BerkleyEarth: model = 61\r\n - NOAAGlobalTemp-Interim: model = 60\r\n - Kadow: model = 59\r\n - colored lines: model = 0, 1, ..., 58\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33155, "uuid": "03cc44f98b0e4a4b97df37662e62be79", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.3 (v20211001)", "abstract": "Data for Figure 3.3 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.3 shows the global annual-mean surface (2 m) air temperature (°C) and the model bias to ERA5.\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n - Global modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global root mean square bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5\r\n - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP5 for the period 1985–2004 to reanalysis ERA5\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nCMIP5 is the fifth phase of the Coupled Model Intercomparison Project. \r\nERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate.\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n - panel_a/tas_mean_cmip6.nc; global map\r\n - panel_b/tas_bias_cmip6.nc; global map\r\n - panel_c/tas_rms_bias_cmip6.nc; global map\r\n - panel_d/tas_bias_cmip5.nc; global map\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1\r\n - Link to the code for the figure, archived on Zenodo." }, { "ob_id": 33161, "uuid": "06a4ad1656774087a5b6db3c7a57211e", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.4 (v20211028)", "abstract": "Data for Figure 3.4 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.4 shows observed and simulated time series of the anomalies in annual and global mean near-surface air temperature (GSAT). \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n Observed and simulated global near-surface air temperature change (1850-2014) with uncertainty range for simulated time series.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\npanel_a/fig_3_4_panel_a.nc\r\n- black line: model = 60\r\n- red line: model = 59\r\n- colored lines: model = 0, 1, ..., 58\r\npanel_b/tsline_collect_tasa.nc:\r\n- red line: experiment = 0, stat = 0\r\n- blue line: experiment = 1, stat = 0\r\n- red shaded region: experiment = 0, stat = 1 and stat = 2\r\n- blue shaded region: experiment = 1, stat = 1 and stat = 2\r\npanel_b/tsline_collect_tasa_ref.nc\r\n- HadCRUT5: dataset = 0\r\n- BerkleyEarth: dataset = 1\r\n- NOAAGlobalTemp-Interim: dataset = 2\r\n- Kadow: dataset =3\r\n\r\nWhere HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature.\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1" }, { "ob_id": 39521, "uuid": "60eeb3cce51a457cb5ee1c577a0c8674", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.4 (v20221219)", "abstract": "Data for Figure 2.4 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.4 shows Atmospheric well-mixed greenhouse gases concentration from ice cores. \r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\n Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson- Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\nPlease also include citations of the related publications provided at the end of this abstract.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has two panels with data provided for all panels in the main directory.\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n \r\n - Atmospheric WMGHG concentration records during the last 800 kyr with the LGM to Holocene transition as inset.\r\n - Multiple high-resolution records over the CE\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\nSubdirectory 'fig2_4_data_Feb24_2021' contains figure data with listed publications from which the datasets originate. Datasets are also provided in BADC-CSV formats as described below:\r\n\r\n Panel a: \r\n - Data file: fig2_4a_main figure_data.csv; column 2: red line (main figure); column 4: green line (main figure); column six: purple line (main figure).\r\n - Data file: fig2_4a_inset_data.csv: column 3: red line (inset); column 6: orange line (inset)\r\n\r\n Panel b:\r\n - Data file: fig2_4b_data_v2.csv: column 2: pink dot (top panel); column 5: brown dot (top panel); column 8: orange dot (top panel); column 11: red line (top panel); column 13: sky blue line (middle panel); column 15: green line (middle panel); column 18: purple square (bottom panel); column 21: blue circle N2O (bottom panel); column 24: brown dot (bottom panel); column 26: green circle (bottom panel); column 29: red circle (bottom panel); column 32: orange square (bottom panel); column 35: blue line (bottom panel)\r\n\r\nWMGHG stands for well-mixed green-house gases.\r\nLGM stands for Last Glacial Maximum.\r\n\r\n\r\n---------------------------------------------------\r\nTemporal range of data\r\n---------------------------------------------------\r\nThis dataset covers a timespan from 800kyr ago to 2000 CE.\r\n\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure from the IPCC AR6 website \r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1\r\n - Links to related publications listed below\r\n\r\n\r\n---------------------------------------------------\r\nRelated publications for figure datasets\r\n---------------------------------------------------\r\nPlease include the following citations of related publications from which the figure datasets originate. Relations to individual datasets are listed at the top of each dataset. Links are provided in the Related Documents section of this catalogue record. \r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nLoulergue, L. et al. Orbital and millennial-scale features of atmospheric CH4 over the past 800,000 years. Nature 453, 383–386 (2008)\r\n\r\nSchilt, A., Baumgartner, M., Blunier, T., Schwander, J., Spahni, R., Fischer, H., and Stocker, T. F.: Glacial-interglacial and millennialscale variations in the atmospheric nitrous oxide concentration uring the last 800 000 years, Quaternary Science Reviews, 29, 182–192, doi:10.1016/j.quascirev.2009.03.011 (2010)\r\n\r\nKöhler, P., Nehrbass-Ahles, C., Schmitt, J., Stocker, T. F., & Fischer, H. (2017). A 156 kyr smoothed history of the atmospheric greenhouse gases CO2, CH4, and N2O and their radiative forcing. Earth System Science Data. https://doi.org/10.5194/essd-9-363-2017\r\n\r\nLüthi, D., M. Le Floch, B. Bereiter, T. Blunier, J.-M. Barnola, U. Siegenthaler, D. Raynaud, J. Jouzel, H. Fischer, K. Kawamura, and T.F. Stocker. 2008. High-resolution carbon dioxide concentration record 650,000-800,000 years before present. Nature, Vol. 453, pp. 379-382, 15 May 2008.\r\n\r\nMarcott, S. A., Bauska, T. K., Buizert, C., Steig, E. J., Rosen, J. L., Cuffey, K. M., Fudge, T. J., Severinghaus, J. P., Ahn, J., Kalk, M. L., McConnell, J. R., Sowers, T., Taylor, K. C., White, J. W. C., & Brook, E. J. (2014). Centennial-scale changes in the global carbon cycle during the last deglaciation. Nature, 514(7524), 616–619.\r\n\r\nBereiter, B., Eggleston, S., Schmitt, J., Nehrbass-Ahles, C., Stocker, T. F., Fischer, H., Kipfstuhl, S., & Chappellaz, J. (2015). Revision of the EPICA Dome C CO2 record from 800 to 600-kyr before present. Geophysical Research Letters. https://doi.org/10.1002/2014GL061957\r\n\r\nMonnin E, Indermühle A, Dällenbach A, Flückiger J, Stauffer B, Stocker TF, Raynaud D, Barnola JM. Atmospheric CO2 concentrations over the last glacial termination. Science. 2001 Jan 5;291(5501):112-4. doi: 10.1126/science.291.5501.112. PMID: 11141559.\r\n\r\nAhn, J., Brook, E. J., Mitchell, L., Rosen, J. McConnell, J. R., Taylor, K., Etheridge, D., and Rubino, M. (2012b). Atmospheric CO2 over the last 1000 years: A high-resolution record from the West Antarctic Ice Sheet (WAIS) Divide ice core, Global Biogeochemical Cycles, 26, GB2027 , doi:10.1029/2011GB004247.\r\n\r\nBauska, T. K., Joos, F., Mix, A. C., Roth, R., Ahn, J., & Brook, E. J. (2015). Links between atmospheric carbon dioxide, the land carbon reservoir and climate over the past millennium. Nature Geoscience. https://doi.org/10.1038/ngeo2422\r\n\r\nRubino, M., Etheridge, D. M., Thornton, D. P., Howden, R., Allison, C. E., Francey, R. J., Langenfelds, R. L., Steele, L. P., Trudinger, C. M., Spencer, D. A., Curran, M. A. J., van Ommen, T. D., & Smith, A. M. (2019). Revised records of atmospheric trace gases CO2, CH4, N2O, and d13C-CO2 over the last 2000 years from Law Dome, Antarctica. Earth System Science Data, 11(2), 473–492. https://doi.org/10.5194/essd-11-473-2019\r\n\r\nSIEGENTHALER, U. R. S., MONNIN, E., KAWAMURA, K., SPAHNI, R., SCHWANDER, J., STAUFFER, B., STOCKER, T. F., BARNOLA, J.-M., & FISCHER, H. (2005). Supporting evidence from the EPICA Dronning Maud Land ice core for atmospheric CO2 changes during the past millennium. Tellus B, 57(1), 51–57. https://doi.org/10.1111/j.1600-0889.2005.00131.x\r\n\r\nMitchell, L., Brook, E., Lee, J. E., Buizert, C., & Sowers, T. (2013). Constraints on the late Holocene anthropogenic contribution to the atmospheric methane budget. Science. https://doi.org/10.1126/science.1238920\r\n\r\nFlückiger, J., Dällenbach, A., Blunier, T., Stauffer, B., Stocker, T. F., Raynaud, D., & Barnola, J. M. (1999). Variations in atmospheric N2O concentration during abrupt climatic changes. Science. https://doi.org/10.1126/science.285.5425.227\r\n\r\nMachida, T., Nakazawa, T., Fujii, Y., Aoki, S., & Watanabe, O. (1995). Increase in the atmospheric nitrous oxide concentration during the last 250 years. Geophysical Research Letters, 22(21), 2921–2924. https://doi.org/10.1029/95GL02822\r\n\r\nRyu, Y., Ahn, J., Yang, J.-W., Jang, Y., Brook, E., Timmermann, A., Hong, S., Han, Y., Hur, S., & Kim, S. (2020). Atmospheric nitrous oxide during the past two millennia, Global Biogeochemical Cycles, 34, e2020GB006568. https://doi.org/10.1029/2020GB006568\r\n\r\nSowers, T. (2001). N2O record spanning the penultimate deglaciation from the Vostok ice core. Journal of Geophysical Research: Atmospheres, 106(D23), 31903–31914. https://doi.org/10.1029/2000JD900707" }, { "ob_id": 34660, "uuid": "c3450dc769f044898ea5f3be784f354b", "short_code": "ob", "title": "Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.6 (v20220119)", "abstract": "Data for Figure 3.6 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 3.6 shows simulated internal variability of global surface air temperature (GSAT) versus observed changes. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nEyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels. Files are not separated according to the panels. \r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n obs_gmst.nc contains\r\n - Observed GMST anomalies\r\n - Observed GMST difference between 2010-2019 and 1850-1900\r\n \r\n historical_cmip6_gsat.nc contains\r\n - Simulated GSAT anomalies\r\n - Simulated GSAT difference between 2010-2019 and 1850-1900\r\n of CMIP6 historical-ssp245 simulations\r\n \r\n piControl_cmip6_gsat.nc contains - Simulated GSAT anomalies\r\n - Simulated GSAT difference between the last 10 years and the first 51 years of a 170-year segment\r\n of the first 500 years of CMIP6 piControl simulations\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n - 5-year running mean of picontrol_tas_aa in piControl_cmip6_gsat.nc\r\n o BCC-CSM2-MR: E = 3\r\n o CMCC-CM2-SR5: E = 11\r\n o CNRM-CM6-1: E = 12\r\n o CNRM-ESM2-1: E = 13\r\n o EC-Earth3: E = 15\r\n o EC-Earth3-Veg: E = 16\r\n o EC-Earth3-Veg-LR: E = 17\r\n o IPSL-CM6A-LR: E = 29\r\n o KIOST-ESM: E = 30\r\n o MCM-UA-1-0: E = 31\r\n \r\n Panel b:\r\n - obs_tas_aa_trend in obs_gmst.nc: black vertical lines\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n - histogram of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red shading\r\n - multimodel ensemble mean of histssp_tas_aa_trend in historical_cmip6_gsat.nc: red vertical line\r\n - histogram of picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue shading\r\n - multimodel ensemble mean picontrol_tas_aa_runtrend in piControl_cmip6_gsat.nc: blue vertical line\r\n \r\n Panel c:\r\n - obs_tas_aa in obs_gmst.nc: grey curves, with their 5-year running means for black curves\r\n o HadCRUT5: dataset = 1\r\n o BerkeleyEarth: dataset = 2\r\n o NOAAGlobalTemp-Interim: dataset = 3\r\n o Kadow: dataset = 4\r\n\r\n\r\nAcronyms: CMIP - Coupled Model Intercomparison Project, GMST - Global mean surface temperature, GSAT - Global surface air temperature, BCC-CSM - Beijing Climate Center Climate System Model, CMMC CM - Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model, CNRM - Centre National de Recherches Meteorologiques, IPSL - Institut Pierre-Simon Laplace, KIOST-ESM - Korea Institute of Ocean Science & Technology Earth System, CRU - Climatic Research Unit, NOAA - National Oceanic and Atmospheric Administration. \r\n\r\n---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nMultimodel ensemble means and histograms of historical simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. \r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 3)\r\n - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1" }, { "ob_id": 34599, "uuid": "c6f19b27f8e74e98968c17c8e1f74c60", "short_code": "ob", "title": "Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.5 (v20221116)", "abstract": "Data for Figure 2.5 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\n\r\nFigure 2.5 shows globally-averaged dry-air mole fractions of CO2, CH4, and N2O derived from surface observations.\r\n\r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:\r\nGulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004.\r\n\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has three panels (a, b, c), and each panel contains an insert. Data provided for all panels in one single file (Data_Figure_2_5.csv).\r\n\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains time series for:\r\n \r\n - Observed atmospheric global carbon dioxide (CO2) (1958-2019).\r\n - Observed atmospheric global methane (CH4) (1979-2019).\r\n - Observed atmospheric global nitrous oxide (N2O) (1979-2019).\r\n\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 2, grey line.\r\n - Data file Data_Figure_2_5.csv, column 17, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 29, yellow line.\r\n\r\n\r\nInset panel a:\r\n \r\n - Data file Data_Figure_2_5.csv, column 3, grey line.\r\n - Data file Data_Figure_2_5.csv, column 18, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 30, yellow line.\r\n\r\n\r\nPanel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 5, grey line.\r\n - Data file Data_Figure_2_5.csv, column 20, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 11, red line.\r\n - Data file Data_Figure_2_5.csv, column 26, green circles.\r\n\r\n\r\nInset panel b:\r\n \r\n - Data file Data_Figure_2_5.csv, column 6, grey line.\r\n - Data file Data_Figure_2_5.csv, column 21, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 12, red line.\r\n - Data file Data_Figure_2_5.csv, column 27, green line.\r\n\r\n\r\nPanel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 8, grey line.\r\n - Data file Data_Figure_2_5.csv, column 23, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 14, red line.\r\n\r\n\r\nInset panel c:\r\n \r\n - Data file Data_Figure_2_5.csv, column 9, grey line.\r\n - Data file Data_Figure_2_5.csv, column 24, cyan line.\r\n - Data file Data_Figure_2_5.csv, column 15, red line.\r\n\r\n\r\nAcronyms: \r\nNOAA - National Oceanic and Atmospheric Administration\r\nAGAGE - Advanced Global Atmospheric Gases Experiment\r\nCSIRO - Commonwealth Scientific and Industrial Research Organisation\r\n\r\n---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 2)\r\n - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 205768, 205769, 205770, 205771, 205773, 205774, 205775, 205780, 205777 ], "onlineresource_set": [ 88177, 88178 ], "project_set": [ 32705 ] }, { "ob_id": 43285, "uuid": "17d83baf50a644d89a4fb78ca6cccec1", "short_code": "coll", "title": "EOCIS: Swansea University Global Aerosol Optical Depth products from the Along-Track Scanning Radiometers and Sea and Land Surface Temperature Radiometers", "abstract": "This dataset collection contains Global Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project by Swansea University.\r\n\r\nThe data have been derived by applying the Swansea University algorithm to the Along-Track Scanning Radiometer-2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR) and Sea and Land Surface Temperature Radiometers (SLSTR-A and SLSTR-B).\r\n \r\nThe data are grouped into two instrument families each with an associate daily and monthly product. The ATSR-2 and AATSR instruments have been grouped as (A)ATSR L3C v4.35.1 products. SLSTR-A and SLSTR-B are grouped as SLSTR L3C v1.14.1 products.\r\n\r\nThe combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing these datasets please also cite the associated data paper: \r\n\r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data (TBD)", "keywords": "Aerosol, Particulate, ATSR, ERS-2, ENVISAT, SLSTR, Sentinel-3, EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-02-06T17:10:03", "doiPublishedTime": "2025-02-11T12:33:31", "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 43283, "uuid": "f18f81e6fe014e5ab7b847f282f9de7b", "short_code": "ob", "title": "Swansea University Aerosol Algorithm: Sea and Land Surface Temperature Radiometers A and B Daily Collated Level-3 product v1.14.1", "abstract": "This dataset provides global Aerosol Optical Depth (AOD) from the Sea and Land Surface Temperature Radiometers (SLSTR), presented on a 1° latitude-longitude grid, starting in 2016. \r\n\r\nThe product contains the daily mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm and Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm. \r\n\r\nThe data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. The combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/\r\n \r\nWhen citing this dataset please also cite the associated data paper: \r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data, 12, 410 https://doi.org/10.1038/s41597-025-04694-6" }, { "ob_id": 43282, "uuid": "f677ad3b44c24d5e8701153f14ab39e4", "short_code": "ob", "title": "Swansea University Aerosol Algorithm: (Advanced) Along-track Scanning Radiometers Monthly Collated Level-3 Product v4.35.1", "abstract": "This dataset provides global Aerosol Optical Depth (AOD) from the Along-Track Scanning Radiometer-2 (ATSR-2) and Advanced Along-Track Scanning Radiometer (AATSR), presented on a 1° latitude-longitude grid, running from 1995-2003 (ATSR-2) and 2002-2012 (AATSR). \r\n\r\nThe product contains the monthly mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm; surface reflectance at 550nm, 670nm, 870nm and 1600nm; Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm; and the cloud and land fractions. \r\n\r\nThe data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. The combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data, 12, 410 https://doi.org/10.1038/s41597-025-04694-6" }, { "ob_id": 43284, "uuid": "a89007aa668d4e2f940dbb3d3dfcc3dc", "short_code": "ob", "title": "Swansea University Aerosol Algorithm: Sea and Land Surface Temperature Radiometers A and B Monthly Collated Level-3 Product v1.14.1", "abstract": "This dataset provides global Aerosol Optical Depth (AOD) from the Sea and Land Surface Temperature Radiometers (SLSTR), presented on a 1° latitude-longitude grid, starting in 2016. \r\n\r\nThe product contains the monthly mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm and Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm. \r\n\r\nThe data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. The combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data, 12, 410 https://doi.org/10.1038/s41597-025-04694-6" }, { "ob_id": 43281, "uuid": "397b2da3a0d04bde8e5e1e341c829422", "short_code": "ob", "title": "Swansea University Aerosol Algorithm: (Advanced) Along-track Scanning Radiometers Daily Collated Level-3 Product v4.35.1", "abstract": "This dataset provides global Aerosol Optical Depth (AOD) from the Along-Track Scanning Radiometer-2 (ATSR-2) and Advanced Along-Track Scanning Radiometer (AATSR), presented on a 1° latitude-longitude grid, running from 1995-2003 (ATSR-2) and 2002-2012 (AATSR). \r\n\r\nThe product contains the daily mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm; surface reflectance at 550nm, 670nm, 870nm and 1600nm; Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm; and the cloud and land fractions. \r\n\r\nThe data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. The combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing this dataset please also cite the associated data paper: \r\n\r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data, 12, 410 https://doi.org/10.1038/s41597-025-04694-6" } ], "identifier_set": [ 13238 ], "responsiblepartyinfo_set": [ 205853, 205845, 205846, 205847, 205848, 205849, 205850, 205851, 205854, 205852 ], "onlineresource_set": [ 88358, 92987 ], "project_set": [ 43216 ] }, { "ob_id": 43292, "uuid": "7294d93479654c139770f13fae4142d1", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly and monthly sea surface salinity products from L-band, v5.5", "abstract": "The European Space Agency (ESA) Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2023 period.\r\n\r\nThis dataset collection contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a regular 0.25° grid and 1 day of time sampling. This product is also available on polar 25 km EASE-2 (Equal Area Scalable Earth) grid.\r\n\r\nA monthly product is also available, at a spatial resolution of 50 km and a time resolution of 1 month. It is spatially sampled on a 0.25° grid and 15 days of time sampling. This product is also available on polar 25km EASE-2 grid.\r\n\r\n\r\nIn addition to salinity, information on uncertainties are provided. For more information, see the user guide and product documentation available on the Sea Surface Salinity CCI web page (linked below).", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "citable", "dataPublishedTime": "2025-03-03T00:00:00", "doiPublishedTime": "2025-03-03T13:51:19", "dontHarvestFromProjects": false, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 43288, "uuid": "3339dec1fbd94599802aba7f1c665679", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product on a 0.25 degree global grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a 0.25 degree grid and 15 days of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." }, { "ob_id": 43289, "uuid": "c302b1dceb8a4c39a31d18b60f236d09", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." }, { "ob_id": 43291, "uuid": "5b48a34fb4134bbd99acace7767e5b3e", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a NH polar 25km EASE (Equal Area Scalable Earth) grid with 1 day of time sampling. This product is also available separately on a regular lat/lon grid. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." }, { "ob_id": 43290, "uuid": "4321d9b540fe48f8943179aa3ef06c79", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product on a 0.25 degree global grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 week. It is spatially sampled on a 0.25 degree grid and 1 day of time sampling. This product is also available separately on polar 25km EASE (Equal Area Scalable Earth) grids. A monthly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." }, { "ob_id": 43287, "uuid": "0397ca6f625e47f489684bad2bd533bb", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Southern Hemisphere on a 25km EASE grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a SH polar 25km EASE (Equal Area Scalable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." }, { "ob_id": 43286, "uuid": "3d3e52e597fe40b0ab5984cc0ee82de3", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Monthly sea surface salinity product for the Northern Hemisphere on a 25km EASE grid, v5.5, for 2010 to 2023", "abstract": "This dataset contains Sea Surface Salinity (SSS) v5.5 data at a spatial resolution of 50km and a time resolution of 1 month. It is spatially sampled on a NH polar 25km EASE (Equal Area Scaleable Earth) grid with 15 days of time sampling. This product is also available separately on a regular lat/lon grid. A weekly product is also available. In addition to salinity, information on uncertainties are provided. For more information see the user guide and other product documentation available from the linked Sea Surface Salinity CCI web page." } ], "identifier_set": [ 13256 ], "responsiblepartyinfo_set": [ 206059, 206060, 206061, 206062, 206063, 206064, 206065, 206066, 206067, 206068, 206069, 206070, 206071, 206072, 206073, 206074, 206075, 206076, 206077, 206078, 206079, 206080, 206081, 206082, 206083, 206084, 206085, 206086, 206087, 206088, 206089, 206090 ], "onlineresource_set": [ 88204, 88205 ], "project_set": [ 28235 ] }, { "ob_id": 43293, "uuid": "282e89e1582841b082fb5111d0618f77", "short_code": "coll", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Sea surface salinity products from C-band, v1.0", "abstract": "The European Space Agency (ESA) Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced Sea Surface Salinity maps from C-band SAR data over 4 geographic regions....", "keywords": "ESA, Sea Surface Salinity, CCI", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 43554, "uuid": "a71f82c0a48e46fe9f10098ae8d2c92b", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): monthly C-band product, CNRP, v1.0", "abstract": "To be written" }, { "ob_id": 43555, "uuid": "f64d7be95db2422596d3ce85dd5c3d21", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): monthly C-band product, MRP, v1.0", "abstract": "To be written" }, { "ob_id": 43294, "uuid": "39a90df4efc04925939ba800c6b465d0", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): monthly C-band product, AORP, v1.0", "abstract": "To be written" }, { "ob_id": 43553, "uuid": "eaaa914f8013453baaffe41dfe0752e6", "short_code": "ob", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): monthly C-band product, BoB, v1.0", "abstract": "To be written" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 206091, 206092, 206093, 206094, 206095, 206096, 206097, 206098, 206099, 206100, 206101, 206102, 206103, 206104, 206105, 206106, 206107, 206108, 206109, 206110, 206111, 206112, 206113, 206114, 206115, 206116, 206117, 206118, 206119, 206120, 206121, 206122 ], "onlineresource_set": [ 88206, 88207 ], "project_set": [] }, { "ob_id": 43520, "uuid": "b28510bfa05b4ce388d2315c10f5823d", "short_code": "coll", "title": "The GEBCO Product Collection (General Bathymetric Chart of the Oceans) - a continuous terrain model of the global oceans and land - all releases, formats, and documentation", "abstract": "The General Bathymetric Chart of the Oceans (GEBCO) is a continuous terrain model of the global oceans and land. The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2022 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2023 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format.", "keywords": "elevation, oceans, bathymetry", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 231 ], "discoveryKeywords": [], "member": [ { "ob_id": 43506, "uuid": "b5a93cb47d934f5295e2784313ecfb00", "short_code": "ob", "title": "The GEBCO_2022 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2022 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2022 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2022 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2022 grid (standard grid of ice surface elevation) available in NetCDF format. \r\n\r\nIn regions outside of the Arctic Ocean area, the grid uses as a base Version 2.4 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2022 Grid represents all data within the 2022 compilation. The compilation of the GEBCO_2022 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a remove-restore blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2022 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43507, "uuid": "b978db2f6e4e4bc49ca8ca026495aaac", "short_code": "ob", "title": "The GEBCO_2021 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2021 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2021 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2021 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2021 grid (standard grid of ice surface elevation) available in NetCDF format.\r\n\r\nIn regions outside of the Arctic Ocean area, the grid uses as a base Version 2.2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2021 Grid represents all data within the 2021 compilation. The compilation of the GEBCO_2021 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2021 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43536, "uuid": "e7b366a8516240b7a023edb25fdaf1bf", "short_code": "ob", "title": "The GEBCO_2008 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2008 Grid is a global continuous terrain model for ocean and land with a spatial resolution of one arc-minute. The GEBCO_2008 Grid, comprises the one minute grid in NetCDF format only, alongside accompanying terms of use and documentation. Please note that the GEBCO 2008 One Minute Grid is a legacy dataset that has been superseded by subsequent releases of the GEBCO grid." }, { "ob_id": 43496, "uuid": "bb0e44f6520f415e9a07601bb21ac3c8", "short_code": "ob", "title": "The GEBCO_2023 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2023 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2.5.5 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2023 Grid represents all data within the 2023 compilation. The compilation of the GEBCO_2023 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a 'remove-restore' blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2023 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43499, "uuid": "4ad3e42245174dee86ca27f8e1bb2e87", "short_code": "ob", "title": "The GEBCO_2020 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2020 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2020 Grid represents all data within the 2020 compilation. The compilation of the GEBCO_2020 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets were supplied as sparse grids by the Regional Centers, i.e. only grid cells that contain data were populated. These sparse grids were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2020 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43535, "uuid": "0c9dfec287bf4b6c84435d1182825389", "short_code": "ob", "title": "The GEBCO_2014 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2014 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 30 arc-seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), and the Source Identifier Grid (SID). The GEBCO_2014 Grid Collection is available in NetCDF format only. Please note the GEBCO 2014 grid is a legacy dataset that has been superseded by more recent releases." }, { "ob_id": 43497, "uuid": "4ea04d633ecc43e195520fb65256cd5e", "short_code": "ob", "title": "The GEBCO_2022 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2022 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2.4 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2022 Grid represents all data within the 2022 compilation. The compilation of the GEBCO_2022 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a remove-restore blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2022 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43505, "uuid": "c25d585d8c314cbba6faebb4f21ff4a3", "short_code": "ob", "title": "The GEBCO_2023 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2023 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2023 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2023 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2023 grid (standard grid of ice surface elevation) available in NetCDF format. \r\n\r\nIn regions outside of the Arctic Ocean area, the grid uses as a base Version 2.5.5 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2023 Grid represents all data within the 2023 compilation. The compilation of the GEBCO_2023 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a 'remove-restore' blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2023 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43504, "uuid": "591c8f9d03ea45ce9053a8d67d65eb56", "short_code": "ob", "title": "The GEBCO_2024 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2024 Grid Collection is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2024 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2024 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2024 grid (standard grid of ice surface elevation) available in NetCDF format. In regions largely outside of the Arctic Ocean area, the GEBCO_2024 grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43500, "uuid": "2920b2ea41d244cd9bfd95be0f4dc4a9", "short_code": "ob", "title": "The GEBCO_2019 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2019 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The grid uses as a base Version 1 of the SRTM15_plus data set (Sandwell et al). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30_plus (5). Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project, and from a number of international and national data repositories and regional mapping initiatives. The GEBCO_2019 Grid represents all data within the 2019 compilation. The compilation of the GEBCO_2019 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. The majority of the compilation was done using the remove-restore procedure (Smith and Sandwell, 1997; Becker, Sandwell and Smith, 2009 and Hell and Jakobsson, 2011). This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA)." }, { "ob_id": 43489, "uuid": "5ec6949356de45c2a3b3565d297a80fa", "short_code": "ob", "title": "The GEBCO_2024 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2024 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic Ocean area, the grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43508, "uuid": "74583b230b1343d9b4b302b8fbb5414f", "short_code": "ob", "title": "The GEBCO_2020 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2020 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2020 Grid Collection comprises the following data types: the standard grid (ice surface elevation), and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2020 Grid Collection is delivered in NetCDF format only. This data collection also contains the published and citable GEBCO_2020 grid (standard grid of ice surface elevation) available in NetCDF format.\r\n\r\nIn regions outside of the Arctic Ocean area, the grid uses as a base Version 2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2020 Grid represents all data within the 2020 compilation. The compilation of the GEBCO_2020 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets were supplied as sparse grids by the Regional Centers, i.e. only grid cells that contain data were populated. These sparse grids were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2020 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 44650, "uuid": "05fba4c5b8fe4daea8ff751026daf438", "short_code": "ob", "title": "The GEBCO_2025 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals", "abstract": "The GEBCO_2025 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic and Southern Ocean areas, the grid uses as a base Version 2.7 of the SRTM15_plus data set (Tozer et al., 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2025 Grid represents all data within the 2025 compilation. The compilation of the GEBCO_2025 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a 'remove-restore' blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2025 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43498, "uuid": "eb4f211ef57745919dddb8a93518db00", "short_code": "ob", "title": "The GEBCO_2021 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2021 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2.2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2021 Grid represents all data within the 2021 compilation. The compilation of the GEBCO_2021 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2021 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA." }, { "ob_id": 43509, "uuid": "cefbb8b5fc874bfc84f75169a611de4f", "short_code": "ob", "title": "The GEBCO_2019 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2019 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), the Source Identifier Grid (SID), and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2019 Grid Collection is available in NetCDF format only. This data collection also contains the published and citable GEBCO_2019 grid (standard grid of ice surface elevation) available in NetCDF format. \r\n\r\nThe grid uses as a base Version 1 of the SRTM15_plus data set (Sandwell et al). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30_plus (5). Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project, and from a number of international and national data repositories and regional mapping initiatives. The GEBCO_2019 Grid represents all data within the 2019 compilation. The compilation of the GEBCO_2019 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. The majority of the compilation was done using the remove-restore procedure (Smith and Sandwell, 1997; Becker, Sandwell and Smith, 2009 and Hell and Jakobsson, 2011). This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 207851, 207852, 207853, 207854, 207863, 207856, 207855, 213835, 207857, 207858, 207859, 207860, 207861, 207862 ], "onlineresource_set": [], "project_set": [] }, { "ob_id": 43521, "uuid": "fdd9595c2e7a4d26831ea4fe345f7900", "short_code": "coll", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Product Collection - gridded continuous terrain model covering ocean and land of the Arctic region - all releases, formats, and documentation", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean (IBCAO) was initiated 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. \r\n\r\nThe aim of the IBCAO is to develop a digital grid based of all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. The IBCAO grid is used for the Arctic region in the global GEBCO grid.\r\n\r\nThe IBCAO Product Collection encompasses all digital products released in all formats since 2001. The IBCAO Product Collection contains all available formats and datasets for the latest IBCAO release, alongside documentation and terms of use:\r\n\r\n• IBCAO Version 5 - released July 2024 - 100, 200, 400 metre grid cell spacing - NetCDF and data GeoTIFF format. Accompanied by a Type Identifier Grid (TID) that indicates the type of source data that the corresponding grid cell in the bathymetric grid cell is based on.\r\n\r\n\r\nThe IBCAO Product Collection also contains all available datasets in all formats for legacy IBCAO releases, alongside their documentation and terms of use:\r\n\r\n• Version 4.2.13 - released July 2023 \r\n• Version 4.2 - released August 2022 \r\n• Version 4.1 - released July 2021 \r\n• Version 4.0 - released March 2020 \r\n• Version 3.0 - released June 2012 \r\n• Version 2.23 - released March 2008 \r\n• Version 1 - released July 2001", "keywords": "elevation, oceans, bathymetry", "publicationState": "published", "dataPublishedTime": "2025-10-08T10:14:44", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 231 ], "discoveryKeywords": [], "member": [ { "ob_id": 43518, "uuid": "5846574e36e942a29b778534980280b9", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2.13", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2.13 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2.13 Grid was released in August 2022, updated from IBCAO Version 4.2 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2.13 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2.13 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2.13 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, { "ob_id": 43515, "uuid": "ca9e188d6141435eb7d851d40416a645", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 3.0 Grid was released in June 2012.\r\n\r\nAt the time of its publication, IBCAO Version 3.0 represented the largest improvement in the data set since 1999. Taking advantage of new data sets collected by the circum-Arctic nations, opportunistic data collected from fishing vessels, data acquired from US Navy submarines and from research ships of various nations.\r\n\r\nBuilt using an improved gridding algorithm, the grid is on a 500 meter spacing, revealing much greater details of the Arctic seafloor than IBCAO Version 1.0 (2.5 km) and Version 2.0 (2.0 km). The area covered by multibeam surveys has increased from ~6 % in Version 2.0 to ~11% in Version 3.0.\r\n\r\nThe bathymetric grid released in IBCAO Version 3.0 is available in NetCDF, Esri ASCII or data GeoTIFF raster format. The IBCAO V3 data are built using the WGS84 horizontal datum, where the vertical datum is referenced to Mean Sea Level. Elevation values are provided in metres (negative below the sea surface). The IBCAO V3 dataset comprises polar stereographic grids at 500 x 500m grid intervals, true scale 75°N, in both smoothed (SM) and remove-restore (RR) method formats. The IBCAO V3 dataset also comprises geographic grids at 30 arc-second resolution in both smoothed (SM) and remove-restore (RR) method formats." }, { "ob_id": 43519, "uuid": "3bc493d393a843ee9422f9c610fcd437", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 5 Grid was released in 2024, updated from IBCAO Version 4.2.13 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 5 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5 grid without Greenland ice sheet data is also available. IBCAO Version 5 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, { "ob_id": 44883, "uuid": "f913ac73da154aebb5b6cf61fb9eb5e2", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 5.1 Grid was released in June 2025, updated from IBCAO Version 5.\r\n\r\nThe bathymetric grid released in IBCAO Version 5.1 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5.1 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5.1 grid without Greenland ice sheet data is also available. IBCAO Version 5.1 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, { "ob_id": 43513, "uuid": "8e50690c2ac84e249cbc2cba2e95f5e5", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 1 Grid was released in July 2001.\r\n\r\nThe bathymetric grid released in IBCAO Version 1 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute intervals), or in a polar stereographic projection (2500 x 2500 m grid interval, true scale 75°N, WGS 84 datum). Postscript plots in polar stereographic projection are also available in IBCAO Version 1, showing shaded relief and contours. Shaded relief imagery is also provided in JPEG format. A Source Identifier Grid is delivered as a Postscript plot for IBCAO Version 1, to provide information on the source data sets included in the IBCAO grid." }, { "ob_id": 43516, "uuid": "ae9cfa35e2454137a672f15ca00d0e64", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.1 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.1 Grid was released in July 2021, updated from IBCAO Version 4 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.1 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.1 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.1 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, { "ob_id": 43517, "uuid": "c46755ee7d604d8591fee4dc5f56b9e3", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2 Grid was released in August 2022, updated from IBCAO Version 4.1 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point)." }, { "ob_id": 43514, "uuid": "1e69e123a0c04e2a83539dec43f1bfdb", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 2.23 Grid was released in March 2008.\r\n\r\nThe bathymetric grid released in IBCAO Version 2.23 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute or two arc-minute intervals), or in a polar stereographic projection (2000 x 2000 m grid interval, true scale 75°N, WGS 84 datum). The one-minute geographic grid imagery is also available in KMZ format for Google Earth. A Source Identifier Grid is delivered as a JPEG image for IBCAO version 2.23, to provide information on the source data sets included in the IBCAO grid." }, { "ob_id": 43501, "uuid": "ec1c8283e5e1412a81b341a94033382f", "short_code": "ob", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The grid has been compiled from sounding data covering an area of approximately 19.8% of the Arctic Ocean floor, of which 14.3% is comprised of multibeam bathymetry and about 5.5% with other sources, excluding digitized depth contours. IBCAO Version 4.0 has been compiled with support from the Nippon Foundation-GEBCO-Seabed 2030 Project, an international effort whose goal it is to see the entire world ocean mapped by 2030. A geographic version of the Polar Stereographic grid serves as input to the General Bathymetric Chart of Oceans (GEBCO) global gridded terrain model." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 207883, 207864, 207865, 207866, 207867, 207871, 207869, 207868, 207882, 207884, 207881, 207880, 207879, 207878, 207877 ], "onlineresource_set": [], "project_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.", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "published", "dataPublishedTime": "2025-06-04T15:48:54", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 157 ], "discoveryKeywords": [], "member": [ { "ob_id": 43592, "uuid": "1d2020153f84407ba2852acfd8579886", "short_code": "ob", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.0.0.0", "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)" }, { "ob_id": 45381, "uuid": "31819552d6764b58871507bc20f6b198", "short_code": "ob", "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." }, { "ob_id": 45382, "uuid": "f157c171195f41b390a9795bd7323299", "short_code": "ob", "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." }, { "ob_id": 45384, "uuid": "865a70100ed04f6394993349daec7fc5", "short_code": "ob", "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." }, { "ob_id": 45383, "uuid": "0b15342a451947ff884f5b52ec926c1a", "short_code": "ob", "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." }, { "ob_id": 43590, "uuid": "6d41468a8cd4462e923b4fc4f28b2dda", "short_code": "ob", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.0.0", "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)" }, { "ob_id": 13872, "uuid": "268cfd67e1d148fe8120655c6b8de402", "short_code": "ob", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature series", "abstract": "The longest available instrumental record of temperature in the world is now available at the BADC. The seasonal data starts in 1659.\r\n\r\nThe mean, minimum and maximum datasets are updated monthly, with data for a month usually available by the 3rd of the next month. A provisional CET value for the current month is calculated on a daily basis. The mean monthly data series begins in 1659. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. \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 following stations are used by the Met Office to compile the CET data: Rothamsted, Malvern, Squires Gate and Ringway.\r\n\r\nBut in November 2004, the weather station Stonyhurst replaced Ringway and revised urban warming and bias adjustments have now been applied to the Stonyhurst data after a period of reduced reliability from the station in the summer months. \r\n\r\nThe data set is compiled by the Met Office Hadley Centre." }, { "ob_id": 44262, "uuid": "4b541f71524244c5a19f7d8321b5563d", "short_code": "ob", "title": "Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.1.0", "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)" }, { "ob_id": 25, "uuid": "b621ef77b07d3c8e116b5b31fd5eb92b", "short_code": "ob", "title": "Daily Mean, Minimum and Maximum Central England Temperature series", "abstract": "The longest available instrumental record of temperature in the world is now available at the BADC. The daily data starts in 1772. \r\n\r\nThe mean, minimum and maximum datasets are updated monthly, with data for a month usually available by the 3rd of the next month. A provisional CET value for the current month is calculated on a daily basis. The mean daily data series begins in 1772. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. Yearly files are provided from 1998 onwards.\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 following stations are used by the Met Office to compile the CET data: Rothamsted, Malvern, Squires Gate and Ringway.\r\n\r\nBut in November 2004, the weather station Stonyhurst replaced Ringway and revised urban warming and bias adjustments have now been applied to the Stonyhurst data after a period of reduced reliability from the station in the summer months. \r\n\r\nThe data set is compiled by the Met Office Hadley Centre." }, { "ob_id": 44322, "uuid": "fe998c05ca854715b48bac53dc0e9998", "short_code": "ob", "title": "Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0", "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." }, { "ob_id": 44323, "uuid": "ca43505702fa4eeeba4b65f1ce2c1e6a", "short_code": "ob", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0", "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." }, { "ob_id": 44261, "uuid": "aad24c247c1b4c6e97686b1f3ea372af", "short_code": "ob", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.0.1.0", "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)" }, { "ob_id": 43589, "uuid": "0363d592dd3548febaa6fc4056a618a9", "short_code": "ob", "title": "Daily Mean, Minimum and Maximum Central England Temperature series v2.0.0.0", "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)" }, { "ob_id": 43591, "uuid": "06f14deceb27463c86f350ad278245ca", "short_code": "ob", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.0.0", "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)" }, { "ob_id": 13870, "uuid": "37acfb4514ca4ef7b711e2cf568280a4", "short_code": "ob", "title": "Monthly Mean, Minimum and Maximum Central England Temperature series", "abstract": "The longest available instrumental record of temperature in the world is now available at the BADC. The monthly data starts in 1659.\r\n\r\nThe mean, minimum and maximum datasets are updated monthly, with data for a month usually available by the 3rd of the next month. A provisional CET value for the current month is calculated on a daily basis. The mean monthly data series begins in 1659. Mean maximum and minimum daily and monthly data are also available, beginning in 1878. \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 following stations are used by the Met Office to compile the CET data: Rothamsted, Malvern, Squires Gate and Ringway.\r\n\r\nBut in November 2004, the weather station Stonyhurst replaced Ringway and revised urban warming and bias adjustments have now been applied to the Stonyhurst data after a period of reduced reliability from the station in the summer months. \r\n\r\nThe data set is compiled by the Met Office Hadley Centre." }, { "ob_id": 44259, "uuid": "71dfc9ee866c400b930a9f35e12eb8ee", "short_code": "ob", "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.1.0", "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)" }, { "ob_id": 44260, "uuid": "0f81ad59f9e94cc4b038dd483ac29797", "short_code": "ob", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.0.1.0", "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)" }, { "ob_id": 44320, "uuid": "35fb8318798e437ba5b108e5eca6e92d", "short_code": "ob", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0", "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." }, { "ob_id": 44321, "uuid": "2c9baaf3b032435980cdbd1b23038aa1", "short_code": "ob", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.1.0.0", "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." } ], "identifier_set": [ 13249, 13412, 13413 ], "responsiblepartyinfo_set": [ 208094, 208095, 208096, 208097, 208100, 208098, 208104, 208099 ], "onlineresource_set": [ 88454, 88456, 88457, 88458, 88459, 88460, 88461, 88462, 88463 ], "project_set": [] }, { "ob_id": 43597, "uuid": "5487380511084413a502c4b229273bc6", "short_code": "coll", "title": "Continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK Dataset Collection", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility (BLF) at the semi-rural field site (14 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m above mean sea level) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from in-situ sensor measurements at four averaging periods, '01', '05', '10' or '30' minute intervals and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nIn addition, specialist remote-sensing instruments including microwave radiometers, Halo Doppler lidars, ceilometers and disdrometer datasets are provided.\r\n\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper also provides a technical introduction to the Cardington site, core instrumentation, specialist radiometers, the land surface model (LSM) forcing dataset derived from the principal dataset and a description of the file formats used in the archived products. This paper should be referenced in any research/publications pertaining to this dataset collection.", "keywords": "Cardington, Met Office, observation, turbulence, wind, speed, direction, boundary, layer, temperature, relative, humidity, flux, upwelling, shortwave, longwave, radiative, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, heat, flux tower, surface, subsurface, measurement", "publicationState": "citable", "dataPublishedTime": "2025-08-20T16:21:51", "doiPublishedTime": "2026-02-26T10:33:14", "dontHarvestFromProjects": true, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 43678, "uuid": "1f92b91149704c4bb5048300615a1945", "short_code": "ob", "title": "Met Office Cardington: 30 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 30 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 30 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 30 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43617, "uuid": "77bef4103ec2426281a5e74ccc0ba5c7", "short_code": "ob", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 35, 2012-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 35.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43676, "uuid": "e75de035395f48dbbb43f1a190406632", "short_code": "ob", "title": "Met Office Cardington: 5 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 5 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43602, "uuid": "5d8997e0cd974835999a8d8ba677b26f", "short_code": "ob", "title": "Met Office Cardington: precipitation measurements from a Thies disdrometer, 2019-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Thies laser disdrometer, a laser optical device used for the measurement of diameter and fall velocity of hydrometeors, from 2019 to 2024. From such measurements, it is possible to classify different types of precipitation, such as drizzle, rain, hail, snow, and mixed precipitation, quantify precipitation in a time interval, and derive size and velocity joint distribution. Thies laser disdrometer can in addition detect fine drizzle, drop fall speed and drop size distribution.\r\n\r\nThe disdrometer is the most sophisticated precipitation instrument deployed at Cardington.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset." }, { "ob_id": 43598, "uuid": "a71afe47c63a4e4a9c9d5d18625cd8f9", "short_code": "ob", "title": "Met Office Cardington: cloud height measurements from a Vaisala CT25K_A Laser Ceilometer, 2014-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated two Vaisala CT25K ceilometers deployed at Cardington since 2014, denoted by unit numbers A and B. This dataset covers data from unit A.\r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\n\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43677, "uuid": "27dfc610944446a6a7862c97f93325a6", "short_code": "ob", "title": "Met Office Cardington: 10 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 10-minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts. \r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n•\tCovariances over 10 minute intervals were used to calculate the turbulent heat fluxes. The sonic data have cross-wind speed correction, coordinate rotation, detrending and despiking applied. \r\n•\tFor latent heat flux calculations over 10 minute intervals, the 10-m covariance using the Licor hygrometer should be used as standard.\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\n\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43604, "uuid": "6ebd987dac6f4d1692d878258bf7112c", "short_code": "ob", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 30, 2011-2022", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 30.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43606, "uuid": "21c423889e6a4035ac7f4761e467de2b", "short_code": "ob", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics WVR-1100 microwave radiometer, 2002-2022", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics WVR-1100 passive microwave radiometer measuring the atmospheric emissions at two frequencies (23.8 and 31.4 GHz) which provided brightness temperature at these channels, retrieve column integrations of liquid water path and integrated water vapour.\r\n\r\nThe WVR-1100 used a bi-linear regression method based on local radiosonde launches to retrieve column integrations of liquid water and water vapour. The WVR-1100 in addition performed ‘tipping curve’ observations using off-zenith slant scans where the optical depth for each frequency varies in a known way with atmospheric geometrical thickness. Tipping curves assume the atmosphere is horizontally homogeneous. The overall error in liquid water path is estimated to be 0.015 kg m-2. Water vapour and liquid water column amounts were logged typically every 9-10 s. Absolute calibrations for the absorbing channels were done periodically using an external black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43605, "uuid": "9bf50847dd4d49a281d5663d512e1646", "short_code": "ob", "title": "Met Office Cardington: humidity profiles, liquid water paths and integrated water vapour measurement from a RPG Humpro microwave radiometer, 2016-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the RPG Humpro profiling microwave radiometer retrieving humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43600, "uuid": "51d139c161e746e0a9d91e1156958a88", "short_code": "ob", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD40 Laser Ceilometer, 2010-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD40 Ceilometer between 2009-2014. \r\n\r\nThe LD40 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD40 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD40 provides reliable determination of cloud height up to 13 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43601, "uuid": "fe75afd7723140c19edfdeb75fed1e48", "short_code": "ob", "title": "Met Office Cardington: 1 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024", "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 1 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\n\r\nA full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43640, "uuid": "691e8c36bb9446efaa46cc67d37aadae", "short_code": "ob", "title": "Met Office Cardington: cloud height measurements from a Vaisala CT25K_B Laser Ceilometer, 2015-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated two Vaisala CT25K ceilometers deployed at Cardington since 2014, denoted by unit numbers A and B. This dataset covers data from unit B.\r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\n\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43641, "uuid": "06a71fd559884416ad798e452aa21bef", "short_code": "ob", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD25 Laser Ceilometer, 2003-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD25 Ceilometer between 2003-2014.\r\n\r\nThe LD25 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD25 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD25 provides reliable determination of cloud height up to 7.5 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43642, "uuid": "d44b15c8f183404ca47291bc677f93e0", "short_code": "ob", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics TP/WVP-3000 microwave radiometer, 2011-2016", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics TP/WVP-3000 microwave radiometer using a neural network to retrieve profiles of water vapour and temperature. The TP/WVP-3000 was set up to take readings in the vertical approximately every 8 s. Regular tipping curve scans were done over a range of zenith angles (30, 45, 90, 135, 150 degrees) to compare the atmospheric radiances to that of known values at relatively opaque water vapour frequencies (with the opacity being a linear function of the slant path), in addition using frequent views of an internal temperature-controlled black body. Absolute calibrations for the absorbing channels were done periodically using a black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43607, "uuid": "5934d2a5706c4a3c9caa15188d9ed24b", "short_code": "ob", "title": "Met Office Cardington: vertical profile measurements from Vaisala radiosonde ascents, 1996-2024", "abstract": "This repository provides data from all radiosondes launched at Cardington between 1996-2024.\r\nThe sonde unit was operated by the Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England.\r\n\r\nSonde launches were performed with a mean ascent rate of 2.5 m s-1. The slower ascent rate compared to an operational sonde ascent rate enables improved vertical sampling resolution in the atmospheric boundary layer whilst maintaining a sufficient ventilation rate over the sensors. From 1996-2002, a RS80 device was used with ThermoCap, HumiCap, BaroCap sensors, and between 2006-2014 a RS92-SGPB device was used with ThermoCap, HumiCap, capacitive pressure sensors. Sonde launches from 2014-2024 used an RS41-SG(P) device with PRT, silicon capacitive pressure (SGP), and HumiCap sensors.\r\n\r\nThe launches of radiosondes were performed on a project related basis only and all available ascent data has been provided from the Cardington facility. Please note that there were no ascents in 2022.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43643, "uuid": "19c5dc39bb8c4c40a5643678c31168e7", "short_code": "ob", "title": "Met Office Cardington: Land surface model (LSM) meteorological driving data, 2005-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, compiled a forcing meteorological dataset for the Cardington site to drive the JULES standalone land surface model (LSM) that covers the whole year 2005-2024 data record, albeit only based on 30 min temporal resolution. JULES is the UK community LSM that is used in the Met Office Unified Model (MetUM) from short-range weather forecasts through to climate predictions, from global coverage down to a single point. JULES requires the following seven atmospheric input variables at every time step for it to able to run using prescribed meteorology from field observations: downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, and specific humidity. \r\n\r\nThe drive dataset is a NetCDF file for each of the four drive heights (2, 10, 25 and 50 m), such that temperature, wind and humidity drive variables are taken from the different mast heights, with the pressure, radiation and rainfall remaining unchanged as they were only available from fixed levels (i.e. pressure at 1.2 m, downwelling radiation at 4 m, upwelling radiation at 2 m, and rainfall at the surface).\r\n\r\nThe corresponding 4 files have the following temporal ranges:\r\n\r\n - 2 m drive height: 20120101-0000 to 20241231-2330\r\n - 10 m drive height: 20050101-0000 to 20241231-2330\r\n - 25 m drive height: 20050101-0000 to 20241231-2330\r\n - 50 m drive height: 20050101-0000 to 20241231-2330\r\n\r\nTimes are in UTC.\r\n\r\nThe 2 m level is limited to the whole years 2012–2024. Although the netCDF drive dataset has been configured to run with JULES, it should be straightforward to apply the data within it to other LSMs that can be run offline and forced by prescribed meteorology for a single point.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43603, "uuid": "ba87087355ed4e748d1650d012adc4ef", "short_code": "ob", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 01, 2009-2021", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 01.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarised pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." } ], "identifier_set": [ 13745 ], "responsiblepartyinfo_set": [ 208162, 208163, 208164, 208165, 208166, 208167, 208168, 208169, 208170, 208171, 208172, 208173, 208174 ], "onlineresource_set": [], "project_set": [ 20010 ] }, { "ob_id": 43875, "uuid": "36756ff1928f4a1684902b470cda774e", "short_code": "coll", "title": "Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "A collection of groundbased and airborne datasets gathered to capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales for the Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) project during summer 2023. This multi-instrument collection is used to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influences moist convective turbulence at a range of scales.", "keywords": "WOEST, WESCON, radar", "publicationState": "published", "dataPublishedTime": "2025-08-06T09:25:56", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [ 2 ], "discoveryKeywords": [], "member": [ { "ob_id": 44199, "uuid": "69a1a9e374e245e08bd56f82bf5d566e", "short_code": "ob", "title": "WOEST: aerosol backscatter from the NCAS Lidar Ceilometer unit 1 deployed at MOD Lyneham, v1.0 (20230523-20230911)", "abstract": "Aerosol backscatter measurements from the National Centre for Atmospheric Science (NCAS) Lidar Ceilometer unit 1 deployed at MOD Lyneham. These observations were taken as part of the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230523 and 20230911.\r\n\r\nData products from this deployment include: aerosol-backscatter\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44197, "uuid": "681694fb98b042fb94eaed24f629923c", "short_code": "ob", "title": "WOEST: Radiosonde profiles from the University of Reading Vaisala Sounding Station deployed from University of Reading Atmospheric Observatory, v1.1 (20230606-20230825)", "abstract": "Sonde profile measurements from the University of Reading Vaisala Sounding Station deployed from the University of Reading Atmospheric Observatory. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230606 and 20230825.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the National Centre for Atmospheric Science (NCAS) data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44513, "uuid": "3080771112d947e8bcfd7d130f753c01", "short_code": "ob", "title": "WOEST: aerosol backscatter from the NCAS Aerosol Lidar unit 1 deployed at MOD Lyneham, v1.0 (20230530-20230911)", "abstract": "Aerosol backscatter measurements from the NCAS Aerosol Lidar unit 1 deployed at MOD Lyneham. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230530 and 20230911.\r\n\r\nData products from this deployment version 1.0 include: range_squared_corrected_backscatter_power \r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 43882, "uuid": "257e911489484af7881c81a36e76789b", "short_code": "ob", "title": "WOEST: SNR winds from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory, v1.0 (202360110-20230928)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory. These observations were taken as part of the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST)between 202360110 to 20230928.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of STFC and NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 43721, "uuid": "0affc94eb312459e840d957d4401018e", "short_code": "ob", "title": "WOEST: Scan data from the NCAS mobile X-band radar unit 2 deployed at from Chilbolton Atmospheric Observatory, v1.0.0 (20230525-20230913)", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's mobile X-band radar unit 2 deployed at Chilbolton Atmospheric Observatory, near Andover, Hampshire, UK from May to September 2023. These observations were taken as part of the (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) project between 20230525 and 20230913.\r\n\r\nData products from this deployment include: volume scans (vol) and vertical cross sections (rhi). The radar performed two sets of volume scans, alternating approximately every 5 minutes, using different parameters for targeting the boundary layer and clouds. Following the volume scans the radar performed a single vertical cross-section. The whole cycle repeated every 10 minutes. \r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44666, "uuid": "12298b52a84c482cbd274b44c866cbd1", "short_code": "ob", "title": "WesCon: near-surface meteorology from Met Office automatic weather stations at 11 locations for the WesCon/WOEST measurement campaign. v1.0 (20230414-20231004)", "abstract": "This dataset contains a continuous record of temporary in-house designed Met Office automatic weather stations (AWS) deployed at 11 locations in southern England during the summer of 2023 as part of the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. \r\n\r\nThe dataset contains recorded surface meteorology and (at six of the locations) subsoil sensors at 1 minute averaging period based around a 1.5 m mast.\r\nInstruments at 1.5 m height include: (Chilbolton, Clench Common, Spire View, Yatesbury Field, Lydeway Field, Breach Hill, Keevil, Wadswick Farm, The Park Brown Shutters, Henstridge)\r\n•\tPRT screened temperature sensor.\r\n•\tRotronics Hygroclip2 for measuring screened temperature and relative humidity.\r\n•\tBosch Sensortec BMP280 barometric pressure sensor.\r\n•\tRainfall is measured with a Hobo RG3 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tHorizontal wind speed and direction from a Gill WindSonic 2-D ultrasonic sensor.\r\nSubsoil instrumentation (at six sites: Lydeway, Chilbolton, Keevil, Henstridge, The Park, Clench Common) includes:\r\n•\tDelta-T PR2 probe measured volumetric soil moisture at various depths (10, 20, 30, 40 cm).\r\n•\tDelta-T ST2 thermistor probes measured soil temperature at 1 cm depth.\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux (2 cm depth).\r\n\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included." }, { "ob_id": 43685, "uuid": "7746b6b9a5b044ddbc0d2a172b9a8b5f", "short_code": "ob", "title": "WOEST: Scan data from the NCAS mobile X-band radar unit 1 deployed at MOD Lyneham, v1.0.0 (20230525-20230908)", "abstract": "Scan data from the National Centre for Atmospheric Science Atmospheric Measurement and Observation Facility's mobile X-band radar unit 1 deployed at MOD Lyneham, near Swindon, Wiltshire, UK (51.5071N, -2.00547E) from May to September 2023. These observations were taken as part of the WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230525 and 20230908.\r\n\r\nData products from this deployment include: volume scans (vol) and vertical cross sections (rhi). The radar performed two sets of volume scans, alternating approximately every 5 minutes, using different parameters for targeting the boundary layer and clouds. Following the volume scans the radar performed a single vertical cross-section. The whole cycle repeated every 10 minutes. \r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44159, "uuid": "8cce78e3a2814276a8680226c01a8bc6", "short_code": "ob", "title": "British Isles weather radar gridded composite time series data, including 3D reflectivity, dual-polarisation, and derived 2D quantities (June-August 2023)", "abstract": "This dataset consists of 3D spatial grids of weather radar reflectivity, which have 5-minute temporal, 1km horizontal, and 500m vertical resolution. They are constructed from UK weather radar network scans, provided by 16 radars in England, Scotland, Wales, Northern Ireland, and the Channel Islands.\r\n\r\nIn addition to the 3D, there are some 2D grids of fields derived from the vertical grid columns, including maximum column dBZ and vertically integrated liquid water. Please see descriptions below.\r\n\r\nNote – this dataset contains non-operational data products, with this time-limited dataset provided primarily to aid use within the ParaChute research programme.\r\n\r\nThe interpolation method used to arrive at the multi-radar gridded values is similar to that described in Zhang (2005). The reasons for choosing this method over another more recent one (Scovell and al-Sakka, 2016) can be found in Stein et al. (2020).\r\n\r\nThe horizontal domain spans X=[-405000, 1320000], Y=[-625000, 1550000] metres on the UK National Grid (EPSG:27700) projection. This is regularly spaced, with 2175 rows x 1725 columns, and is the same as the “Nimrod” grid used by RadarNet (Harrison et al., 2009). Grid points are located at the centres of each grid box (at X/Y coordinates ending in 500). The vertical is comprised of 24 evenly spaced 500m height levels in the range h=[250,11750] metres AMSL, with the first at 250m AMSL.\r\n\r\nThe data are temporally continuous, at 5-minute resolution, from 2023-06-01 00:00 UTC to 2023-08-31 23:55 UTC. An exception being for two periods of network outage, which are 2023-06-12 17:00-19:00 UTC, and 2023-08-14 08:00-09:00 UTC.\r\n\r\nThe 3D radar grids are formed using scan data following the operational scanning strategy of the UK. This favours low elevation angles, to aid with surface quantitative precipitation estimation. Thus, at higher altitudes, coverage can be sparse (Scovell and al-Sakka, 2016) and the observations are of relatively poor quality, being at long range. No 3D grid point has a data value that has been extrapolated beyond 2.5km range horizontally. Thus, there are large data voids ~10km, at the highest altitude levels. Smaller gaps can appear at lower altitudes. At the lowest levels, and at long range from a radar site, there may sometimes be no coverage. This is unavoidable, due to the curvature of the Earth.\r\n\r\nDATASETS\r\nThe data are stored in an HDF5 file format, with the standard HDF5-native gzip compression. The stored attributes and datasets are based on, but do not strictly adhere to, the ODIM data model specification (Michelson et al., 2008). \r\nThe following ODIM quantities encoded:\r\n•\tDBZH: 3D reflectivity composite\r\n•\tZDR: 3D ZDR composite\r\n•\tRHOHV: 3D Fisher-Z (arctanh) -transformed RHOHV composite\r\n•\tMAXDBZ: 2D “column maximum” , derived from DBZH. In numpy these are computed with np.max ( reflectivity, axis = 0)\r\n•\tVIL: 2D Vertically Integrated Liquid water, as in Green and Clarke (1972) \r\n•\tTOP45, TOP18: echo top heights (highest height level) for DBZH > 45/18\r\n•\tPOH: Probability of Hail; equal to f * ( TOP45 – height of T=0C isotherm ), as in DeLobbe and Holleman (2003). \r\n•\tVII, CRIT_IND: Vertically Integrated Ice and (lightning) Criterion Index, as defined in Mosier et al. (2011), and Haklander (2014).\r\n•\tSHI, POSH, MEHS: these are hail and lightning indices derived from formulae in Witt et al. (c. 1998)\r\nThe following caveats apply to the ODIM formatting:\r\n•\tUnofficial non-compliant ODIM attributes have been added to allow storage of 3D information in the ODIM HDF5 format.\r\n•\tThe metadata describing the 3D grids are not complete.\r\n\r\nSee the online resources section for full citations used on this record." }, { "ob_id": 44109, "uuid": "09a4b09c9fff46ca9cd438302302adee", "short_code": "ob", "title": "WOEST: RHI and PPI scan measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO) Level 1, v1.0.0 (20230609-20230825)", "abstract": "RHI (range-height indicator) and PPI (plan-position indicator) measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230609 and 20230825.\r\nThis dataset contains level 1 processed data products.\r\n\r\nData products from this deployment include: rhi, ppi\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44106, "uuid": "9054202591984e148a65daa37db04d98", "short_code": "ob", "title": "WOEST: brightness temperature from the NCAS Scanning Microwave Radiometer unit 2 deployed at MOD Lyneham, v1.0 (20230525-20230906)", "abstract": "Brightness temperature measurements from the National Centre for Atmospheric Science (NCAS) Scanning Microwave Radiometer unit 2 deployed at MOD Lyneham. These observations were taken as part of Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) project between 20230525 and 20230906.\r\n\r\nData products from this deployment include: brightness-temperature\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44241, "uuid": "9acc391106e7436bb2206c21c66b35d6", "short_code": "ob", "title": "Cloud camera observations during the WOEST campaign -June-October 2023", "abstract": "Cloud camera images taken during the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) campaign during the summer of 2023. This camera layout consists of three pairs of perspective cameras, arranged in a triangle and intersecting over the Chilbolton Atmospheric Observatory, along with a pair of all-sky cameras at Chilbolton.\r\n\r\nThe ARray of Ground-based Upwards-pointing Sensors (ARGUS) cameras were deployed over June and July 2023 and were operational until the end of September 2023. The cameras were scheduled to take images every 5 seconds. These images have been compressed to mp4 files to make them easier to retrieve over the 4G network during the observation period. Each file lasts one hour. Nighttime calibration images (of the star field) are provided for each camera.\r\n\r\nThe cameras were run using code available under doi: 10.5281/zenodo.10795301" }, { "ob_id": 44090, "uuid": "a5205eb0b3324c98b0bf3c50734fd9e1", "short_code": "ob", "title": "WOEST: meteorological and wind observations by sensors on the MetSprite UAS -Version 2.1", "abstract": "Meteorological and wind observations made by sensors on the MetSprite Uncrewed Airborne System (UAS) operated by Menapia for the Wessex convection (WesCon) experiment Observing the Evolving Structures of Turbulence (WOEST) project. \r\nThis version 2.1 dataset contains air temperature, pressure, relative humidity, wind, geographic location and platform information for 31 days of flying during the intensive measurement campaign from June to August 2023." }, { "ob_id": 44184, "uuid": "ef8bb019c1a641ea99093f2087aba6a0", "short_code": "ob", "title": "WOEST: sonde from the NCAS Vaisala Sounding Station unit 1 deployed onboard Ash Farm, Dorset, v1.1 (20230612-20230803)", "abstract": "Sonde profile measurements from the National Centre for Atmospheric Science (NCAS) Vaisala Sounding Station unit 1 deployed from Ash Farm, Dorset. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230612 and 20230803.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44193, "uuid": "2408f843b0e3469dba134806627c39bc", "short_code": "ob", "title": "WOEST: Radiosonde profiles from the Met Office Vaisala Sounding Station deployed from Spire View Airfield, Wiltshire, v1.1 (20230713-20230825)", "abstract": "Sonde profile measurements from the Met Office Vaisala Sounding Station deployed from Spire View Airfield, Wiltshire, UK. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230713 and 20230825.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the National Centre for Atmospheric Science (NCAS) data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44290, "uuid": "03bcc7d46cc849ff89713bbc398a0af7", "short_code": "ob", "title": "WOEST: Scan and vertically pointing data from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed at MOD Lyneham, v1.0.0 (20230524-20230906)", "abstract": "RHI (range-height indicator) and PPI (plan-position indicator) scan measurements from the NCAS Ka-Band Mobile Cloud Radar unit 1 deployed at MOD Lyneham. These observations were taken as part of the Wessex Convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230524 and 20230906.\r\n\r\nData products from this deployment are grouped into two sets. \r\nIntensive observing period (IOP) data include RHI (range-height indicator) scans providing vertical cross-sections through individual storm cells.\r\nStandard observing period (SOP) data include a repeating sequence of (a) VPT – a vertically pointing dwell for 18 minutes; (b) VAD – a conical scan at an elevation 8° from zenith with the aim of measuring a vertical wind profile; (c) HSRHI – a sequence of of twelve horizon-to-horizon scans in elevation spaced by 30° in azimuth; and (d) BLPPI – a sequence of conical scans at a set of low elevations. The full SOP sequence was repeated every 30 minutes. \r\nVPT data are grouped into daily files and include measurements from additional vertical dwells during IOPs.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44301, "uuid": "6c22eae41b52429eb23f00272c3e1baf", "short_code": "ob", "title": "WOEST: RHI and PPI scan measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO) Level 1, v1.0.1 (20230602-20230825)", "abstract": "RHI (range-height indicator) and PPI (plan-position indicator) measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230602 and 20230825.\r\nThis dataset contains level 1 processed data products version v1.0.1\r\n\r\nData products from this deployment include: rhi, ppi\r\nThis version v1.0.1 supersedes the previous version v1.0.0 and includes some additional observations that were not present previously.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 43847, "uuid": "270650632ad6413690c2d96f5ed87654", "short_code": "ob", "title": "WOEST: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at Airfield Camp, Netheravon, v1.0 (20230710-20230911)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at Airfield Camp, Netheravon. These observations were taken as part of WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230710 and 20230911.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44187, "uuid": "970d0062914e47c0a8aa045ee37bc1e1", "short_code": "ob", "title": "WOEST: Radiosonde profiles from the Met Office Vaisala Sounding Station deployed from NCAS Chilbolton Atmospheric Observatory (CAO), v1.1 (20230619-20230825)", "abstract": "Sonde profile measurements from the Met Office Vaisala Sounding Station deployed from National Centre for Atmospheric Science (NCAS) Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230619 and 20230825.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." }, { "ob_id": 44190, "uuid": "974b5a438e7847e39c492989d83b5858", "short_code": "ob", "title": "WOEST: Radiosonde profiles from the Met Office Vaisala Sounding Station deployed from Larkhill, v1.1 (20230612-20230825)", "abstract": "Sonde profile measurements from the Met Office Vaisala Sounding Station deployed from Larkhill. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230612 and 20230825.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the National Centre for Atmospheric Science (NCAS) data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 209739, 209740, 209741, 209742, 213916, 209736, 209737, 209738, 213917, 213918, 213919, 213920, 213921, 213922, 213923, 213924, 213925 ], "onlineresource_set": [], "project_set": [ 43720 ] }, { "ob_id": 43889, "uuid": "5477e60b209a4e169ca60d7f01a017eb", "short_code": "coll", "title": "CNRM-ESM2-1 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 CNRM-ESM2-1. 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 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCNRM-ESM2-1 is the Earth system model of second generation developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 43895, "uuid": "75154cb17fa145baae459e13af7777d2", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 44016, "uuid": "f01914a2763641619ac637eb27ad409d", "short_code": "ob", "title": "piClim-370-126aer data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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-370-126aer 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43906, "uuid": "2140af6da1b44861a74e66333ed277c9", "short_code": "ob", "title": "piClim-370-AFR126aer data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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 (sulphur dioxide, 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 44010, "uuid": "f334697aa6f24a11a29229c3fedf4746", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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-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 (sulphur dioxide, 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43912, "uuid": "f5cf862872d240dcab86a0d67eb16699", "short_code": "ob", "title": "SSP370-SAS126ca data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. 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. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43900, "uuid": "ec6e5980a74a4c69a8fde0b4d81a658d", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over North America and Europe. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 44014, "uuid": "b34e5509dc594d4b84bcd9420d6fd1dd", "short_code": "ob", "title": "piClim-370-NAE126aer data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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 (sulphur dioxide, 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 150W, 45W, 25N and 70N and 20W, 45E, 35N, 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43916, "uuid": "146acf9cfe564eaba7e20a190e922d44", "short_code": "ob", "title": "SSP370-SAF126ca data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAF126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over sub-Saharan Africa. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAF126ca coupled transient experiment from January 2015 to at least February 2051. 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. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43898, "uuid": "93f964d370104d5c9c5b1c0d82f8b846", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over South Asia. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43914, "uuid": "e83f26cb113544db8db274a194b49977", "short_code": "ob", "title": "SSP370-ASIA126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-ASIA126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43902, "uuid": "13b310fc41f04792ad7f84ad8d80f1c3", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over Africa and the Middle East. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43904, "uuid": "5e2588d9fcc2409bb572402108622b3e", "short_code": "ob", "title": "SSP370-126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. \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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 44012, "uuid": "83a36308185b4fcb9c4198f5f69b03c1", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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-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 (sulphur dioxide, 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 44018, "uuid": "2dc9d53fa44e41c1b25f06c3a1be2374", "short_code": "ob", "title": "piClim-370 data produced by the CNRM-ESM2-1 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 CNRM-ESM2-1. 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 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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." }, { "ob_id": 43909, "uuid": "cf87f3ebcaa04c03b9f7079d9aa270cd", "short_code": "ob", "title": "SSP370 data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol. \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\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 209788, 209789, 209790, 209791, 209792, 209793, 209794, 209796 ], "onlineresource_set": [ 88730, 88744 ], "project_set": [ 43444 ] }, { "ob_id": 44020, "uuid": "b7c87e4dafcc486ba1eca2abac752abf", "short_code": "coll", "title": "CESM2 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 CESM2. 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.\r\n\r\nCESM2 is the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2026-02-09T16:48:10", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 44138, "uuid": "913d1121e6a546d0a68a0fe4913fba0c", "short_code": "ob", "title": "piClim-370-AFR126aer data produced by the CESM2 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 CESM2. 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 (sulphur dioxide, 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44870, "uuid": "fa4fe5160ca84acf919d4279fcf102c7", "short_code": "ob", "title": "Ocean data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains ocean data for simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\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 in native CESM2 format. 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44134, "uuid": "08c13840a2cd4fac95c7309e37303f75", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the CESM2 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 CESM2. 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 (sulphur dioxide, 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44136, "uuid": "bd0f1a2c727948e39897d7f3785e1228", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the CESM2 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 CESM2. 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 (sulphur dioxide, 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44130, "uuid": "f53561909bf548468922509edcb9350e", "short_code": "ob", "title": "piClim-370-126aer data produced by the CESM2 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 CESM2. 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44132, "uuid": "ab487c833cff4177a7c1c8faf790dbca", "short_code": "ob", "title": "piClim-370-NAE126aer data produced by the CESM2 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 CESM2. 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 (sulphur dioxide, 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 150W, 45W, 25N and 70N and 20W, 45E, 35N, 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 43443, "uuid": "3e3daa268f1c49b4a50e030c4c50a461", "short_code": "ob", "title": "SSP370 data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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. Un-CMORized ocean variables are provided as a separate dataset linked to this dataset in native CESM2 format. 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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44128, "uuid": "fc7d9281c75b4acd99ad23f5f36ee7fc", "short_code": "ob", "title": "piClim-370 data produced by the CESM2 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 CESM2. 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\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44026, "uuid": "1fb3a81b9e824d4d836fb8f25028eb4d", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from 2015 to 2079. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44022, "uuid": "6b1c3160b1df40728b6331dd46cd5905", "short_code": "ob", "title": "SSP370-126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from 2015 to 2079. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44024, "uuid": "59bdd4c5f9c44b2daa2517f9983ab306", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from 2015 to 2079 (except for runs 5-10 which end in 31/12/2060). Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the related records section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44030, "uuid": "c08e02cfe3a74e08a7503a8f18761223", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. 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 (SO2, 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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." }, { "ob_id": 44028, "uuid": "ead00e03df0546a7a4c720bfdd382780", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210485, 210491, 210486, 210487, 210488, 210489, 210490, 210492 ], "onlineresource_set": [ 88894, 88892, 88893 ], "project_set": [ 43444 ] }, { "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.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2025-08-12T14:32:50", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 45318, "uuid": "b55972a95db84e1181cacf4e040a06a3", "short_code": "ob", "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. 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." }, { "ob_id": 45308, "uuid": "9d916e2cc24b4d41ac7ac5ea53f81040", "short_code": "ob", "title": "piClim-370 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 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 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\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." }, { "ob_id": 45314, "uuid": "4c8fc7c1aa9a422db678f5d5788d4961", "short_code": "ob", "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." }, { "ob_id": 45316, "uuid": "f196bc5dcaff47f4b21d43da7a77889c", "short_code": "ob", "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." }, { "ob_id": 45312, "uuid": "7d9573a533ad4e4c8ad89bedbc1ab0cf", "short_code": "ob", "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." }, { "ob_id": 44774, "uuid": "4026a110e3ba4f9aa893c05f9e907868", "short_code": "ob", "title": "SSP370-126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from 2015 to 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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." }, { "ob_id": 45310, "uuid": "1b9271632ca64dfe913cfe0bd440e35b", "short_code": "ob", "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. 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." }, { "ob_id": 44776, "uuid": "da1b3a4b433a465095967d0b66394194", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from 2015 to 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\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." }, { "ob_id": 44771, "uuid": "ace4b6a343ba49fe926492991848f960", "short_code": "ob", "title": "SSP370 data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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." }, { "ob_id": 44782, "uuid": "5a98f085efe44f469bc13e6dce24c1ac", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from 2015 to 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44781, "uuid": "7e82d4aa2de44787802daa04979f5b5a", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44783, "uuid": "9a3e0018214c44d7ae154e5cb6025707", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. It contains NetCDF output from coupled transient simulations. 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210535, 210536, 210537, 210538, 210540, 210541, 210533, 210534, 214423, 214424 ], "onlineresource_set": [ 88910, 88911 ], "project_set": [ 43444 ] }, { "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.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2025-05-15T11:44:22", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 45329, "uuid": "409098a878974d25892226c05165023c", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the CanESM5-1 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 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-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\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." }, { "ob_id": 45322, "uuid": "756bba8343b54ff7a9d1f7c48f86905d", "short_code": "ob", "title": "piClim-370 data produced by the CanESM5-1 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 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 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." }, { "ob_id": 45325, "uuid": "a8f1d827b86d43c2969abb202c130814", "short_code": "ob", "title": "piClim-370-126aer data produced by the CanESM5-1 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 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-370-126aer 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\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." }, { "ob_id": 45331, "uuid": "a673a07ad2f84c4a8bd8934562417108", "short_code": "ob", "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." }, { "ob_id": 45327, "uuid": "c09bfd57029d4327b107375deb84e95f", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the CanESM5-1 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 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-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." }, { "ob_id": 45320, "uuid": "b01abe865c0e41569be6ff1f06339c70", "short_code": "ob", "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. 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." }, { "ob_id": 44053, "uuid": "da6a894ffa4a42f49426c8af5c75f169", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment 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. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44049, "uuid": "32d7df1eaedc49f3ac91758332b95245", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment 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. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\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." }, { "ob_id": 43449, "uuid": "c9c6758e793e45f7ba7629f266757271", "short_code": "ob", "title": "SSP370-126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment 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. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. \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." }, { "ob_id": 44047, "uuid": "34602f5130b349e3bb8cadeb34ce505b", "short_code": "ob", "title": "SSP370 data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment 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. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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." }, { "ob_id": 44051, "uuid": "248c23e9ffe74dbeadffb38a21269eb0", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment 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. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44055, "uuid": "9e50db2747e842c585706a6004526079", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment 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. 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\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210601, 210602, 210597, 210598, 210599, 210600, 210604, 210603, 210605, 210606, 210607 ], "onlineresource_set": [ 92713, 92711, 92712 ], "project_set": [ 43444 ] }, { "ob_id": 44057, "uuid": "ffc25e6de67b4e3caa4693a093fd7bab", "short_code": "coll", "title": "GISS-E2-1-G 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 GISS-E2-1-G. 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 31/12/2070 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 43451, "uuid": "5d83b90b0fe347398c3d4a41f4f3593c", "short_code": "ob", "title": "SSP370 data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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 ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\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\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." }, { "ob_id": 44142, "uuid": "749f7a388e1c4b8c8455a3146777b30d", "short_code": "ob", "title": "SSP370-ASIA126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-ASIA126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2-1-G. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, 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\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." }, { "ob_id": 44061, "uuid": "4342e8eca7a14cb289e5d7edef35cd73", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\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." }, { "ob_id": 44065, "uuid": "62194c48c1ad4c4588151d5b0c7b6e90", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\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." }, { "ob_id": 44140, "uuid": "8bfc884852f34c60ab5f97bedde5e661", "short_code": "ob", "title": "SSP370-SAS126ca data produced by the GISS-E2-1-G 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 GISS-E2-1-G. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. 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. 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\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." }, { "ob_id": 44063, "uuid": "b2986f80b2cf4d6e9da987710a086e49", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\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." }, { "ob_id": 43458, "uuid": "a46f24ee00d94490b3dae6d6e58fc23e", "short_code": "ob", "title": "GISS-E2-1-G output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP), Tier 2", "abstract": "This record contains data for Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with Asian aerosol reductions, reductions in carbonaceous aerosol over Southern Africa, and reductions in carbonaceous aerosol over South Asia. It also contains a coupled transient simulation where global aerosol, nitrate, and NOx follow SSP1-2.6 while other emissions follow SSP3-7.0. 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." }, { "ob_id": 44067, "uuid": "206df10c38a64380a837fa04af8879f9", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, 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\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." }, { "ob_id": 44059, "uuid": "63a707305efd469992b6487f8081dbd3", "short_code": "ob", "title": "SSP370-126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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\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." }, { "ob_id": 44144, "uuid": "2ac324f1e5894e32bc19070ae9510cd3", "short_code": "ob", "title": "SSP370-SAF126ca data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAF126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2-1-G. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAF126ca coupled transient experiment from January 2015 to at least February 2051. 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. 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\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210658, 210659, 210660, 210661, 210662, 210663, 210665, 210664, 210666, 210667, 210668 ], "onlineresource_set": [ 92731, 92730, 92729 ], "project_set": [ 43444 ] }, { "ob_id": 44069, "uuid": "63233813672245a2ba3c6de90c4cfaee", "short_code": "coll", "title": "UKESM1-0-LL 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 UKESM1-0-LL. 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 31/12/2075 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2026-02-17T11:02:13", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 43455, "uuid": "3c65d2da23f144dd85094662e1873de6", "short_code": "ob", "title": "SSP370 data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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 ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\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." }, { "ob_id": 44079, "uuid": "1d9630f85e7f4a4c926d4335da53f77d", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, 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\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." }, { "ob_id": 44077, "uuid": "15b583553baf43ae99d3702fe52b7dfe", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44075, "uuid": "b4f239aec02745f49f2649109808ef70", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 44071, "uuid": "f2f4decdc409416f88766384c3eecfcc", "short_code": "ob", "title": "SSP370-126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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." }, { "ob_id": 44073, "uuid": "c6fb411cd55f4420ab55d0f387577f8a", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. 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-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210726, 210719, 210720, 210721, 210722, 210723, 210724, 210725, 210727, 210728, 210729, 210730, 210731, 210732 ], "onlineresource_set": [ 92747, 92749 ], "project_set": [ 43444 ] }, { "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.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 45335, "uuid": "921e626bd88a46af99b64d070ff46f44", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the MIROC6 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 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-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\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." }, { "ob_id": 45337, "uuid": "8080062113df4db096bd1bc955faa49b", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the MIROC6 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 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-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\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." }, { "ob_id": 45339, "uuid": "176bcd25f9aa4e1b9115fd3b969bf067", "short_code": "ob", "title": "piClim-370-NAE126aer data produced by the MIROC6 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 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-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\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." }, { "ob_id": 44147, "uuid": "687f7c7024a84ea0bc6486da51d93bff", "short_code": "ob", "title": "SSP370-126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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." }, { "ob_id": 45341, "uuid": "ea23002004324d9cb4379a2e0164a874", "short_code": "ob", "title": "piClim-370-126aer data produced by the MIROC6 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 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-370-126aer 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." }, { "ob_id": 45345, "uuid": "06e6412af176429cb17b070f58f68f2c", "short_code": "ob", "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. 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." }, { "ob_id": 45349, "uuid": "5007afbb604f440ab70c5d6abca58379", "short_code": "ob", "title": "SSP370-SAF126ca data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAF126ca 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-SAF126ca coupled transient experiment from January 2015 to at least February 2051. 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. 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." }, { "ob_id": 45333, "uuid": "2792ca0a7e844894abb21b4487007de4", "short_code": "ob", "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." }, { "ob_id": 45343, "uuid": "d97c77f5123d4b16980bacf6b0246641", "short_code": "ob", "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." }, { "ob_id": 45347, "uuid": "a7ecbc4a59b94e74bd64e9296ad1d8c2", "short_code": "ob", "title": "SSP370-ASIA126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-ASIA126aer 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-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. 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." }, { "ob_id": 43453, "uuid": "fb288d4bdf004932b32713b7f7586b1c", "short_code": "ob", "title": "SSP370 data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 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 ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\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." }, { "ob_id": 44155, "uuid": "3959cc7c877f4ea289ba3c6caee53664", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer 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-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, 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\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." }, { "ob_id": 44149, "uuid": "21b2bc55e88f436d9ff824620a9157af", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer 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-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\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." }, { "ob_id": 44153, "uuid": "0685c4b305f745e88d610de5afdd4e74", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer 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-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\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." }, { "ob_id": 44151, "uuid": "45d235933e27466b9fdcf2159ddac57f", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer 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-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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." }, { "ob_id": 38413, "uuid": "2fb2d315f7f6490dbc47324224c960d2", "short_code": "ob", "title": "WCRP CMIP6: the MIROC team MIROC-ES2L model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the MIROC team MIROC-ES2L model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f2.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 210809, 210810, 210811, 210812, 210813, 210816, 210814, 210815 ], "onlineresource_set": [ 92760, 92761 ], "project_set": [ 43444 ] }, { "ob_id": 44218, "uuid": "44100d99d120487284d7b778dbc76bdf", "short_code": "coll", "title": "NorESM2-LM 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 NorESM2-LM. 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 31/12/2059 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nThe Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2025-04-29T09:27:56", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 44232, "uuid": "019a2b9e6e46453c9be56d9ae6cd454b", "short_code": "ob", "title": "piClim-370-AFR126aer data produced by the NorESM2-LM 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 NorESM2-LM. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44230, "uuid": "6dd4a37a1e284b6d8332a32d229ee514", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the NorESM2-LM 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 NorESM2-LM. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44163, "uuid": "46e100691e974b91a8aeb8cb3a100648", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44172, "uuid": "91291f05bd0c4a9982158281e3b3bd68", "short_code": "ob", "title": "SSP370-126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44228, "uuid": "da3f33367a9f407ea5017c57e69f5b76", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the NorESM2-LM 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 NorESM2-LM. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44226, "uuid": "90175bf5ced14b828ae6be2098a59af6", "short_code": "ob", "title": "piClim-370-NAE126aer data produced by the NorESM2-LM 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 NorESM2-LM. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44174, "uuid": "b6d9b40cb1c3488d8a0e59e3e0124849", "short_code": "ob", "title": "SSP370 data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44170, "uuid": "c06347fc40804b0aaa92aebf6f48418f", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44168, "uuid": "481561948b7c47c1998da69e661e0746", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44224, "uuid": "e0d8098e21d34561927c9709590926a0", "short_code": "ob", "title": "piClim-370-126aer data produced by the NorESM2-LM 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 NorESM2-LM. 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 (SO2, 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\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." }, { "ob_id": 44223, "uuid": "c73e478afb4745d6966025049e4de53a", "short_code": "ob", "title": "piClim-370 data produced by the NorESM2-LM 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 NorESM2-LM. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." }, { "ob_id": 44166, "uuid": "2c9cab9c2de44052a003c4145be138ce", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. 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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 211459, 211461, 211462, 211463, 211464, 211465, 211466, 211460 ], "onlineresource_set": [ 92925, 92926, 92927 ], "project_set": [ 43444 ] }, { "ob_id": 44381, "uuid": "ea46e456f7db4b43bf13a2943ff82c7a", "short_code": "coll", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1-ECA model output collection", "abstract": "The the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the E3SM-Project team E3SM-1-1-ECA model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, E3SM-Project, E3SM-1-1-ECA", "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 44383, "uuid": "5b1583c4aab84a1b8a4ab8b068fbeee7", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1-ECA model output for the \"ssp585-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1-ECA model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Lmon, Ofx, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." }, { "ob_id": 44379, "uuid": "03b169a2cd444fa1a7990975faff4323", "short_code": "ob", "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1-ECA model output for the \"hist-bgc\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1-ECA model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 212263, 212264, 212265, 212266, 212267, 212268, 212277, 212285, 212286, 212278, 212269, 212270, 212279, 212287, 212280, 212271, 212288, 212289, 212281, 212272, 212273, 212290, 212282, 212291, 212274, 212283, 212275, 212284, 212292, 212276 ], "onlineresource_set": [ 93254, 93242, 93243 ], "project_set": [ 30734 ] }, { "ob_id": 44784, "uuid": "e8678aaf39144d8cb10cd02e8a562101", "short_code": "coll", "title": "MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0 is the Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2025-08-11T12:41:39", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 230 ], "discoveryKeywords": [], "member": [ { "ob_id": 44120, "uuid": "215a705b886f45b49d8714e6e8004982", "short_code": "ob", "title": "piClim-370-NAE126aer data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44122, "uuid": "48a9a58ca16d4e06b2c762e31907493b", "short_code": "ob", "title": "piClim-370-EAS126aer data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44126, "uuid": "868c9eb8a3314b1a94d7672749f9e319", "short_code": "ob", "title": "piClim-370-AFR126aer data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44033, "uuid": "f985321e45cc46a09397cd14dea9b005", "short_code": "ob", "title": "SSP370-EAS126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44118, "uuid": "77f3324862534a298347ade0df79f290", "short_code": "ob", "title": "piClim-370-126aer data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44044, "uuid": "c585bbc0e6cb438db3b389dea5735be9", "short_code": "ob", "title": "SSP370-SAS126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44116, "uuid": "0a4b3c3b2d1f4510ba3544c1a81ee645", "short_code": "ob", "title": "piClim-370 data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44124, "uuid": "fb86ae844c2e4a9fb0dafeac66fcf721", "short_code": "ob", "title": "piClim-370-SAS126aer data produced by the MRI-ESM2-0 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 MRI-ESM2-0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44041, "uuid": "4e48c5b343794bdf830f394d5a923ba6", "short_code": "ob", "title": "SSP370 data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44039, "uuid": "0010683b21074799b1faa024b0574ddc", "short_code": "ob", "title": "SSP370-126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44035, "uuid": "81a2264b82364663b1cbe034376e53de", "short_code": "ob", "title": "SSP370-AFR126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." }, { "ob_id": 44037, "uuid": "b9b13bc897334d8384690ed024ce1f53", "short_code": "ob", "title": "SSP370-NAE126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, 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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 214425, 214426, 214427, 214428, 214429, 214431, 214432, 214430, 214433 ], "onlineresource_set": [ 94156, 94157 ], "project_set": [ 43444 ] }, { "ob_id": 44805, "uuid": "ecc8890023754cd8853d5e3f7e08b0b0", "short_code": "coll", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost version 5 data products", "abstract": "This collection of data forms the Permafrost Climate Research Data Package (CRDP v4), which comprises the Version 5.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) and Antarctica (south of 60°) for the period 1997-2023. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 44600, "uuid": "25447c253cbe435b937347756fe47146", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for Antarctica, v5.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year\r\ne.g. ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" }, { "ob_id": 44598, "uuid": "a6fbedd8ee5b472c8e84e55f746c1704", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, { "ob_id": 44596, "uuid": "5675b0be944f45a8af0e7ddbeb47a011", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CRDP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m, 10m).\r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, { "ob_id": 44597, "uuid": "d235665772ec4b558e9a89ac85595e71", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v5.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). \r\n \r\nCase A: It covers the Northern Hemisphere (north of 30°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\ne.g. ESACCI-PERMAFROST-L4-PFR-MODISLST_CRYOGRID-AREA4_PP-****-fv05.0.nc\r\nCase B: It covers the Northern Hemisphere (north of 30°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-PFR-ERA5_MODISLST_BIASCORRECTED-AREA4_PP-****-fv05.0.nc" }, { "ob_id": 44599, "uuid": "9580c512bb474d00b1e0ee554e219bb7", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for Antarctica, v5.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. \r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-ALT-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" }, { "ob_id": 44601, "uuid": "88380c00ad79414ab1a30d3cd4cb7ad9", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for Antarctica, v5.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CRDP v4 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m, 10m).\r\n \r\nCase A: It covers Antarctica (south of 60°S) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-MODISLST_CRYOGRID-AREA27_PP-****-fv05.0.nc\r\nCase B: It covers Antarctica (south of 60°S) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.\r\ne.g. ESACCI-PERMAFROST-L4-GTD-ERA5_MODISLST_BIASCORRECTED-AREA27_PP-****-fv05.0.nc" } ], "identifier_set": [], "responsiblepartyinfo_set": [ 214569, 214570, 214571, 214572, 214573, 214574, 214575, 214576, 214578, 214577, 214579, 214580, 214581, 214582, 214583, 214584, 214585, 214586, 214594, 214587, 214588, 214589, 214590, 214591, 214592, 214593 ], "onlineresource_set": [ 94171, 94172 ], "project_set": [] }, { "ob_id": 44842, "uuid": "39d5fef09ffb43429c7366afc941069c", "short_code": "coll", "title": "SISTeR: Collection of RMS Queen Mary 2 (QM2) Cruise datasets, v2.5", "abstract": "This collection is the record of data from the SISTeR (Scanning Infrared Sea surface Temperature Radiometer) instrument taken on RMS Queen Mary 2 since 2010, processed with version 2.5 of the processor to level 2R and level 3R. These have included World Cruises, North Atlantic crossings, and side trips, in particular to the Caribbean, Canada, Northern Europe and the Mediterranean.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2026-01-21T10:17:14", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 43433, "uuid": "381e95004e0c44499b1d3e00b19aaaaf", "short_code": "ob", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 29, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the North Sea, the north Atlantic and the Caribbean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 17 October 2024 and 11 January 2025.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products." }, { "ob_id": 43432, "uuid": "8234e536542141259e0ec632d45df496", "short_code": "ob", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 28, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the north Atlantic and the North Sea measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 16 May 2024 and 30 August 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products." }, { "ob_id": 43551, "uuid": "defed477a24547b7aa024d655f3d2adb", "short_code": "ob", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 25, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea and the Indian Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2023 and 10 February 2023.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products." }, { "ob_id": 43431, "uuid": "27fee373d42b4dada1aeb10bc729c98f", "short_code": "ob", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 27, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the east Atlantic, Indian Ocean, west Pacific and Australia measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2024 and 28 April 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products." }, { "ob_id": 41553, "uuid": "62334c44979b4c62b763e0dff97cc923", "short_code": "ob", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 24, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea, the North Sea, and the Atlantic Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 15 July 2022 and 14 October 2022.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 214752, 214753, 214754, 214755, 214756, 214757, 214758, 214759, 214760 ], "onlineresource_set": [], "project_set": [ 44841 ] }, { "ob_id": 44850, "uuid": "aef72bc18a244465a721646babf3018a", "short_code": "coll", "title": "ICECAPS-MELT: Manual and Instrumented Snow Property Measurements at Camp Raven, Southwest Greenland (May and August 2024)", "abstract": "This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024.\r\n\r\nThe measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations.\r\n\r\nThe dataset collection includes:\r\n\r\n - Manual snow density - from 1-m snow profiles (two profiles in May, one in August).\r\n\r\n - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August).\r\n\r\n - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August).\r\n\r\n - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August).\r\n\r\n - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August).\r\n\r\nTogether, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.", "keywords": "ICECAPS-MELT, snow properties, snow density, shear strength, specific surface area, hand hardness, layer identification, snow grain size, snow grain habit, SnowPro, Infrasnow, Greenland, Greenland Ice Sheet", "publicationState": "published", "dataPublishedTime": "2026-01-30T09:39:58", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [ 237 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "member": [ { "ob_id": 44796, "uuid": "efcba0f0ba4248c18ff3db743f7d0410", "short_code": "ob", "title": "ICECAPS-MELT: Manual snow properties from one 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow properties were measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. The properties measured were snow grain size, snow crystal habit/form, and hand hardness. A layer identification was performed prior to these measurements. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44699, "uuid": "5bb0574394fa4e6d9195650d26dfc69a", "short_code": "ob", "title": "ICECAPS-MELT: Manual snow density from two 1-m snow profiles in southwest Greenland (May 2024)", "abstract": "Manual snow density (km m-3) from two 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44798, "uuid": "3ef571a45bcc4d95aaf8e48569a21ab5", "short_code": "ob", "title": "ICECAPS-MELT: Manual shear strength from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Shear strength (kPa) was measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44791, "uuid": "42253e31a80947c1b63a5af456f04eeb", "short_code": "ob", "title": "ICECAPS-MELT: Manual snow density from one 1-m snow profile in southwest Greenland (August 2024)", "abstract": "Manual snow density (km m-3) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44794, "uuid": "0eaf19b647c54f489f5c5cbb8d0d83ab", "short_code": "ob", "title": "ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44765, "uuid": "71594a494413446bbfe4583be97fe41b", "short_code": "ob", "title": "ICECAPS-MELT: Snow specific surface area from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44800, "uuid": "55467b8d0a314f408e73175d553fbdb1", "short_code": "ob", "title": "ICECAPS-MELT: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)", "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44759, "uuid": "1ce3e71a2ca54807a1360a1ea4a1053a", "short_code": "ob", "title": "ICECAPS-MELT: Manual snow properties from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow properties were measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. A layer identification was performed and then snow properties were measured: snow grain size, snow crystal habit/form, and hand hardness. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44753, "uuid": "a49b455ac2c44d4e9a365c001c9f575f", "short_code": "ob", "title": "ICECAPS-MELT: Permittivity-based snow density from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." }, { "ob_id": 44762, "uuid": "23bd97b1ac1e4e318234b2f2cab0892b", "short_code": "ob", "title": "ICECAPS-MELT: Manual shear strength from two 1-m snow profiles in SW Greenland (May 2024)", "abstract": "Shear strength (kPa) was measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 214804, 214805, 214806, 214807, 214808, 214809, 214803, 216502, 216503, 214952, 216504, 214802, 216505, 216506, 216507, 216508, 216509, 214811 ], "onlineresource_set": [ 94214, 94215, 94216 ], "project_set": [ 38309 ] }, { "ob_id": 44908, "uuid": "463862326d574951bea52527f9df397d", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R", "abstract": "This collection of data forms the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors project IASI (Infrared Atmospheric Sounding Interferometer) NH3 (Ammonia) L3 (Level 3) data products.\r\n\r\nProducts included in this collection are:\r\n- IASI/Metop-A NH3 L3 product\r\n- IASI/Metop-B NH3 L3 product\r\n- IASI/Metop-C NH3 L3 product\r\n- IASI NH3 L3 merged product\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.", "keywords": "ESA, CCI, Precursors", "publicationState": "citable", "dataPublishedTime": "2026-02-26T12:23:32", "doiPublishedTime": "2026-02-26T16:06:08", "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 44911, "uuid": "c1cee19b22ae4c6187605ada036477e4", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-C NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-C (Meteorological operational satellite-C) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is from September 2019 to June 2025. Full documentation can be found at the project website https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44910, "uuid": "c152a24620504209b59e07c6f97f26e0", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-B NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-B (Meteorological operational satellite-B) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is from March 2013 to June 2025. Full documentation can be found on the project website is https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44909, "uuid": "559901afef54425f8e755f9305d0af3a", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-A NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-A (Meteorological operational satellite-A) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is October 2007 to October 2021. Full documentation can be found at the project website: https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44912, "uuid": "2ec5b1fb653445bdbbd0dcd69dd223da", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI NH3 L3 merged product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-A/B/C (Meteorological operational satellite-A/B/C) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of the dataset is October 2007 to June 2025. Full documentation can be found on the project website at https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" } ], "identifier_set": [ 13746 ], "responsiblepartyinfo_set": [ 215148, 215149, 215150, 215151, 215152, 215153, 215154, 215155, 216654, 216655 ], "onlineresource_set": [ 94486, 94487, 95221 ], "project_set": [ 45106 ] }, { "ob_id": 45082, "uuid": "3d56835a52ff401b8445d60a1825ccd0", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection for Sea Ice Thickness v4.0 Products", "abstract": "Collection of Climate Data Records of Sea Ice Thickness v4.0 products as part of the ESA Sea Ice Climate Change Initiative (CCI) project.\r\n\r\nThe Sea Ice CCI is developing improved and validated timeseries of ice concentration for the Arctic and Antarctic and ice thickness datasets for the Arctic to support climate research and monitoring. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic.", "keywords": "ESA, Sea Ice, CCI, ECV", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 95 ], "discoveryKeywords": [], "member": [ { "ob_id": 44279, "uuid": "26b398778ac441f889e5b873c73a6343", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3B on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the from the Sentinel-3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2018 to April 2024." }, { "ob_id": 44283, "uuid": "f4631b76dbae432ead809836805944d7", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Envisat on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2002 to March 2012." }, { "ob_id": 44287, "uuid": "f4d89a6e59724ecbb7a4b8d4a8df622d", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3A on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Southern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2016 to April 2024." }, { "ob_id": 44278, "uuid": "fe7025b9938346dc99f31a61ad7d4e01", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3A on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Southern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel-3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2016 to April 2024." }, { "ob_id": 44289, "uuid": "db0aee3dbdc54ab0981bca2e632f3be3", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3B on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Southern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2018 to April 2024." }, { "ob_id": 44281, "uuid": "dfc03980decc4e50b111d5981358930e", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from ERS-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA (Radar Altimeter) instrument on the ERS-2 satellite (European Remote-sensing Satellite - 2). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 1995 to April 2003." }, { "ob_id": 44280, "uuid": "b8359626272e4f7ba9e2e821b5eab032", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Sentinel-3B on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the from the Sentinel-3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2018 to April 2024." }, { "ob_id": 44274, "uuid": "1ba530ada3bc4d61a2141e6fa68315f1", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, { "ob_id": 44285, "uuid": "5cd23b8adfe149e59f218e9b1c9364b3", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from CryoSat-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2010 to April 2024." }, { "ob_id": 44288, "uuid": "e33393b68592473cab41701219c74fd7", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3B on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3B satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period November 2018 to April 2024." }, { "ob_id": 44277, "uuid": "1ac5ba6a41d34007bd64bd83b91dc09b", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3A on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel-3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2016 to April 2024." }, { "ob_id": 44286, "uuid": "87623591b26042a2aa1bac231f657923", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Sentinel-3A on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SRAL (Synthetic aperture Radar Altimeter) instrument on the Sentinel -3A satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2016 to April 2024." }, { "ob_id": 44270, "uuid": "17c6b09a5466406c800c2978f17b8372", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from ERS-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA (Radar Altimeter) instrument on the ERS-2 satellite (European Remote-sensing Satellite - 2). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 1995 to April 2003." }, { "ob_id": 44273, "uuid": "5e58f03c4d664b2b9e4e16f2d12e0c4f", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the winter months of October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012." }, { "ob_id": 44275, "uuid": "5487186f657644f798a1e6828d8bed3c", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2010 to April 2024." }, { "ob_id": 44284, "uuid": "887ebbe3aa4345f3bbcbe2dd1834d955", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from CryoSat-2 on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2010 to April 2024." }, { "ob_id": 44276, "uuid": "edfda165965749cbb8ba7c2e0d30a6b4", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar Altimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2024. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly consider the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information." }, { "ob_id": 44282, "uuid": "a0120f31bcd94f8da74ddfebe658773d", "short_code": "ob", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from Envisat on a monthly grid (L3C), v4.0", "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly sea ice thickness data for the winter months of October to March annually on the satellite measurement grid (Level 3C) at the full sensor resolution for the period October 2002 to March 2012." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 215766, 215767, 215768, 215769, 215771, 215772, 215773, 215774 ], "onlineresource_set": [ 94409, 94410 ], "project_set": [ 14368 ] }, { "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.", "keywords": "ESA, Soil Moisture, CCI", "publicationState": "published", "dataPublishedTime": "2025-12-03T12:46:48", "doiPublishedTime": null, "dontHarvestFromProjects": false, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 45086, "uuid": "d4e66299f5054129b8076fb7502949e1", "short_code": "ob", "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." }, { "ob_id": 45087, "uuid": "c93c99588d5848b1ac7833e3bc6d5c2d", "short_code": "ob", "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." }, { "ob_id": 45085, "uuid": "2600f842cfeb481bb21f032a5741c353", "short_code": "ob", "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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 215850, 215849, 215851, 215852, 215853, 215854, 215855, 215856, 215858, 215857, 215859, 215860, 215861, 215862, 215863, 215864, 215865, 215866, 215867, 215868 ], "onlineresource_set": [ 94443, 94444, 94445, 94446, 94447, 94448 ], "project_set": [ 13332 ] }, { "ob_id": 45107, "uuid": "48f377e4674a49e28b43a513addaad01", "short_code": "coll", "title": "ESA Precursors Climate Change Initiative (Precursors CCI) Dataset Collection", "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).\r\n\r\nWorking in close liaison with climate data users, the project focuses on building consistent/harmonised long term multi-satellite mission climate data records from satellite instruments including GOME, SCIAMACHY, GOME-2, OMI, TROPOMI, IASI, and MOPITT.\r\n\r\nThe resulting datasets will include both single sensor level-2 and level-3 gridded products but also unique multi-sensor merged data series covering, for some variables, almost 3 decades of observations. These products will be fully documented according to CCI standards, and generated in a common data format following the netCDF CF metadata conventions.", "keywords": "ESA, CCI, Precursors", "publicationState": "published", "dataPublishedTime": "2026-02-26T12:27:14", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 44874, "uuid": "a2ac22ae97a34b51a81c8f53d414ec6b", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): TROPOMI monthly mean level 3 tropospheric nitrogen dioxide (NO2) version 1.0 May 2018- December 2021", "abstract": "The dataset was produced as part of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). https://doi.org/10.5194/essd-17-4627-2025\r\n\r\nTROPOspheric Monitoring Instrument (TROPOMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from May 2018 to December 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxilliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution." }, { "ob_id": 44911, "uuid": "c1cee19b22ae4c6187605ada036477e4", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-C NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-C (Meteorological operational satellite-C) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is from September 2019 to June 2025. Full documentation can be found at the project website https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44910, "uuid": "c152a24620504209b59e07c6f97f26e0", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-B NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-B (Meteorological operational satellite-B) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is from March 2013 to June 2025. Full documentation can be found on the project website is https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44909, "uuid": "559901afef54425f8e755f9305d0af3a", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI/Metop-A NH3 L3 product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-A (Meteorological operational satellite-A) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of this dataset is October 2007 to October 2021. Full documentation can be found at the project website: https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 44912, "uuid": "2ec5b1fb653445bdbbd0dcd69dd223da", "short_code": "ob", "title": "ESA Precursors Climate Change Initiative (Precursors_cci): IASI NH3 L3 merged product, version 4R", "abstract": "This long-term dataset contains monthly Level 3 (L3) gridded ammonia (NH3) total column data derived from IASI (Infrared Atmospheric Sounding Interferometer) measurements onboard Metop-A/B/C (Meteorological operational satellite-A/B/C) data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for aerosols and ozone project. The temporal range of the dataset is October 2007 to June 2025. Full documentation can be found on the project website at https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/.\r\n\r\nThe version number is 4.0.1R. Data are available in NetCDF format.\r\n\r\nThis dataset forms part of the ESA Precursors Climate Change Initiative (Precursors_cci): Precursors IASI NH3 L3 data products v4R. doi:10.5285/463862326d574951bea52527f9df397d. https://dx.doi.org/10.5285/463862326d574951bea52527f9df397d" }, { "ob_id": 45291, "uuid": "6081f484b28e42a08e75438c9384e877", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 HCHO from TROPOMI, version 2.0", "abstract": "The Formaldehyde (HCHO) Climate Data Record (CDR) product is a Level 3 (L3) HCHO product developed by using satellite data from the Tropospheric Monitoring Instrument (TROPOMI) (on Sentinel 5P) as part of the ESA (European Space Agency) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospheric column densities of monthly 0.125°x0.125° resolution grids from May 2018 to December 2024. 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. Data are available in NetCDF format. https://doi.org/10.18758/y591kda5.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, { "ob_id": 44637, "uuid": "6242532d87d442a3acf0171d35c02e56", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Merged CO product, version 1.0", "abstract": "The carbon monoxide (CO) Climate Data Record (CDR) merged product is a new monthly Level 3 CO product developed by merging satellite data from the IASI instrument (on METOP-A, B, and C) and the MOPITT instrument (on TERRA) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nAn intermediate IASI L3 product was created averaging cloud-free Level 2 CO from the three METOP platforms (A, B and C) using the Cloud Detection Product of Whitburn et al. (2022). These data were then combined with MOPITT V9T L3 data using a weighted averaging approach. Weights were determined based on the MOPITT CO total column to prior ratio. \r\n\r\nThe merged dataset includes CO total column monthly 1°x1° resolution grids as well as uncertainty grids, for both daytime and night-time from January 2008 to December 2024. Surface altitude grids as well as data source flags grids are also provided.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThe version number is 1.0. Data are available in NetCDF format." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 215917, 215918, 215919, 215920, 215921, 215922, 215923, 217131 ], "onlineresource_set": [ 94466, 94467, 95222 ], "project_set": [ 45106 ] }, { "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.", "keywords": "ESA, CCI, Precursors", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 111 ], "discoveryKeywords": [], "member": [ { "ob_id": 45367, "uuid": "7d7ce210a109408aac52066ef9599bd9", "short_code": "ob", "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." }, { "ob_id": 45368, "uuid": "81185d4545484f3fa53ac01ef1a7410c", "short_code": "ob", "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." }, { "ob_id": 45369, "uuid": "685f769eba374f69b445f5487565f1ba", "short_code": "ob", "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." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 217054, 217055, 217056, 217057, 217058, 217059, 217060 ], "onlineresource_set": [ 95218, 95219 ], "project_set": [ 45106 ] }, { "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.", "keywords": "TEAMxUK, FAAM, airborne, atmospheric measurments", "publicationState": "working", "dataPublishedTime": "2025-09-10T16:16:49", "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [], "discoveryKeywords": [], "member": [ { "ob_id": 45412, "uuid": "f43b8a5a9c1f4665be59125c7229eb4d", "short_code": "ob", "title": "FAAM C441 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." }, { "ob_id": 45405, "uuid": "65bb5fe6a9754256833f7e02adf6d211", "short_code": "ob", "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." }, { "ob_id": 45414, "uuid": "bcbdef6d9c5648afa684890280c19861", "short_code": "ob", "title": "FAAM C442 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." }, { "ob_id": 45514, "uuid": "4b0410c767d84f26b49e69a77ce7de3e", "short_code": "ob", "title": "FAAM C419 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." }, { "ob_id": 45522, "uuid": "4686728d2b5f4e699da6eb5ed3dadab4", "short_code": "ob", "title": "FAAM C421 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." }, { "ob_id": 45518, "uuid": 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218208, 218209, 218210, 218211, 218212, 218213 ], "onlineresource_set": [], "project_set": [ 45652 ] }, { "ob_id": 45670, "uuid": "824c0c058de442ab885431eba938dc03", "short_code": "coll", "title": "NCAS archive of Air quality measurements from Manchester, Birmingham and London air quality supersites", "abstract": "This collection contains maeasurements of air quality parameters from a suite of instruments deployed at 3 urban supesites located in Manchester, Birmingham and London Honor Oak Park.\r\n\r\nMore details to follow.", "keywords": "ncas-maqs, ncas-baqs, ncas-lhop", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "dontHarvestFromProjects": true, "imageDetails": [ 13 ], "discoveryKeywords": [], "member": [ { "ob_id": 39530, "uuid": "83f0d8ce1af040c09636c41366238217", "short_code": "ob", "title": "Particulate Distribution Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site 2019 onwards", "abstract": "Particulate Matter Distribution data measured at 7m above ground level by a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\nMeasurements include the abundance of mass concentration of PM1 ambient aerosol in air, mass concentration of PM2.5 ambient aerosol in air, mass concentration of PM10 ambient aerosol in Air, and the concentration of ambient aerosol particles." }, { "ob_id": 37961, "uuid": "671628b8f4474599ba074607e65c4bcc", "short_code": "ob", "title": "Methane, Carbon Monoxide, Carbon Dioxide and Water Abundance Measurements from a Los Gatos Research Ammonia Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Methane, carbon monoxide, carbon dioxide and water abundance measurements made at 7 metres above ground level by a Los Gatos Research Multi-Carbon Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37946, "uuid": "e0f62422d38d419ca9384e017d351acc", "short_code": "ob", "title": "Number Concentration of Ambient Aerosol Particles in Air Data from Cloud Particle Condenser Instrument at Manchester Air Quality Site, 2019 onwards.", "abstract": "Number concentration of ambient aerosol particles in air data measured at 7m above ground level by Cloud Particle Condenser (CPC) Instruments at at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\n\r\nCloud Particle Condenser instrument 3750 was used (June 2019 - February 2021 and December 2021 - February 2022) and was switched over to Cloud Particle Condenser instrument 3772 (February - December 2021)" }, { "ob_id": 39537, "uuid": "8d8613a3d67a4e76adfe94c94ede6a4f", "short_code": "ob", "title": "Mass Concentration of the Non-Refractory Component of Ambient Aerosol Particles in Air Data from Aerosol Chemical Species Monitor (ACSM) at Manchester Air Quality Site, 2019-present", "abstract": "Mass Concentration of the Nitrate, Chloride, Sulphate, Ammonium and Organic Component of Ambient Aerosol Particles in Air measured at 7 metres above ground level by an Aerosol Chemical Species Monitor (ACSM) at the Manchester Air Quality Site (MAQS), from 2019 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 40312, "uuid": "8b92e02868d5430aa63f6b16d4801455", "short_code": "ob", "title": "Non-methane hydrocarbon data from the Manchester Air Quality site, 2022 onwards", "abstract": "A long term dataset of volatile organic carbons (VOCs) measured by a thermal desorption unit coupled to a gas chromatograph fitted with two flame ionisation detectors at the Manchester Air Quality Supersite from 2022 onwards, for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37972, "uuid": "91625bdf73944c5e896eb56d1fec35ee", "short_code": "ob", "title": "Wind speed and direction data from Gill sonic windmaster instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Quality tested wind speed and wind direction data at 7m above ground level from a Gill Sonic Windmaster instruments at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37938, "uuid": "c5a629e1012b472c9b1fa130d2432fe1", "short_code": "ob", "title": "Particulate Matter Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Particulate matter data measured at 7m above ground level by a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.\r\nMeasurements include the abundance of mass concentration of PM1 ambient aerosol in air, mass concentration of PM2.5 ambient aerosol in air, mass concentration of PM10 ambient aerosol in Air, and the concentration of ambient aerosol particles." }, { "ob_id": 37977, "uuid": "f60761f3279042859e5c2902dfa0f2ef", "short_code": "ob", "title": "Nitrogen Dioxide Abundance Data from Teledyne Model T500U Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass fraction of Nitrogen Dioxide (NO2) in air measured at 7m above ground level by a Teledyne Model T500U Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 41507, "uuid": "b32f09c9aeba44d1846e6de9423e9895", "short_code": "ob", "title": "Ozone Abundance Data from Teledyne T400 Instrument at London Honor Oak Park Air Quality Supersite", "abstract": "Mass Fraction of Ozone (O3) in air measured at 5 metres above ground level by a Teledyne T400 Ozone Analyzer Instrument at the London Honor Oak Park Air Quality Site (LHOP) for the Integrated Research Observation System for Clean Air (OSCA) project, 2019 onwards." }, { "ob_id": 39889, "uuid": "856b788f5e934fa1bf8d1793fdcb3f56", "short_code": "ob", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k instrument deployed at the Manchester Air Quality Supersite (MAQS), UK", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Manchester's lufft-chm15k deployed at Manchester Air Quality Supersite (MAQS), UK.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-MCR.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities." }, { "ob_id": 37997, "uuid": "21723af1f2a640c6990ce9cb3b70aaef", "short_code": "ob", "title": "Elemental Composition Data of Ambient PM2.5 and PM10 Aerosol Particles in Air from a Cooper XACT 625i Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Elemental Composition of Ambient Aerosol Particles in Air Data measured at 7m above ground level using a Cooper XACT 625i Instrument at the Manchester Air Quality Site for the Integrated Research Observation System for Clean Air (OSCA) project. Only PM10 Aerosols are analysed prior to December 2020, and both PM2.5 and PM10 are analysed from December 2020 onwards." }, { "ob_id": 37951, "uuid": "0a948ff688f24a9f87aed71ae38a4fc0", "short_code": "ob", "title": "Number and Speed of Drops in Precipitation per Minute from Disdrometer at Manchester Air Quality Site 2019- onwards", "abstract": "Data from Laser Precipitation Monitor Model 5.4110.00.000 to measure the frequency, speed and other factors for Solid and Liquid Precipitation at Manchester Air Quality Site (MAQS), 2019 onwards." }, { "ob_id": 37982, "uuid": "dd3a958c68074e9fbad07e4922b7b011", "short_code": "ob", "title": "CO Abundance Data from Thermo 48i Carbon Monoxide Analyser Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass fraction of carbon monoxide (CO) in air measured at 7m above ground level by a Thermo 48i Carbon Monoxide Analyser Instrument at the Manchester Air Quality Site (MAQS) from 2019 onwards for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37941, "uuid": "03fd47b671b9482293ba122d3b7044da", "short_code": "ob", "title": "Black Carbon and Ultraviolet Particulate Matter Levels detected from a Magee Scientific Aethalometer Model AE33 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Use of Magee Scientific Aethalometer Model AE33 Instrument to measure the Black Carbon and Ultraviolet Particulate Matter Levels from the Particlate Matter in Air Data at Manchester Air Quality Site (MAQS) from 2019 onwards. Black Carbon measurements were obtained using electromagnetic wavelengths 370, 470, 520, 590, 660, 880, 950 nm." }, { "ob_id": 41502, "uuid": "d174d45cae2745f9af08ab078aade0f2", "short_code": "ob", "title": "Ozone Abundance Data from Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site, 2019 onwards", "abstract": "Mass Fraction of Ozone (O3) in air measured at 2 metres above ground level by a Thermo Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 41381, "uuid": "0c37b06d024d4f8eb6f7ffc0c66d3b4e", "short_code": "ob", "title": "Wind speed and direction data from Gill sonic windmaster instrument at London Honor Oak Park Air Quality Supersite", "abstract": "One minute wind speed and wind direction data at 16m above ground level from a Gill Sonic Windmaster instruments at the London Honor Oak Park Air Quality Supersite (LHOP) for the Integrated Research Observation System for Clean Air (OSCA) project, 2021 onwards." }, { "ob_id": 37992, "uuid": "1d58f2f5e7874e55a83ca57311dcfb9a", "short_code": "ob", "title": "NO and NOy Abundance Data from Thermo Model 42i-Y NOY Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Oxides of nitrogen (NO and NOy) rates measured at 7 metres above ground level by a Thermo Model 42i-Y NOY Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37956, "uuid": "5fc811f707f54415b129882a38889501", "short_code": "ob", "title": "Ammonia and Water Abundance Measurements from Los Gatos Research Ammonia Analyzer Instrument at Manchester Air Quality Site 2019 onwards.", "abstract": "Ammonia (NH3) and water (H20) abundance measurements made at 7 metres above ground level by a Los Gatos research ammonia analyzer instrument at Manchester air quality site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37967, "uuid": "6f6366eb78c44875b2c92d3b8fe403c1", "short_code": "ob", "title": "Number concentration and size distribution of ambient aerosol particles in air measurements from a Cloud Particle Condenser instrument (SMPS) at the Manchester Air Quality Site, 2019 onwards", "abstract": "Number concentration and size distribution of ambient aerosol particles in air measurements made at 7m above ground level using a 3082 Scanning Mobility Particle Sizer (SMPS) in combination with a 3750 Cloud Particle Condenser (CPC) at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 37987, "uuid": "966423f87a304c8b99a80f66c1b8e6fd", "short_code": "ob", "title": "Ozone Abundance Data from Model 49i Ozone Analyzer Instrument at the Manchester Air Quality Site, 2019 onwards", "abstract": "Mass Fraction of Ozone (O3) in air measured at 7 metres above ground level by a Thermo Model 49i Ozone Analyzer Instrument at the Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project." }, { "ob_id": 43009, "uuid": "2e98ece54bf74911bf0b63a7d1354274", "short_code": "ob", "title": "Modelled water mass of PM2.5 components at Manchester Air Quality site", "abstract": "The modelled data valid at the location of the Manchester Air Quality site was extracted from the domain at 3 km x 3 km resolution. The relative humidity (from WRF) and the chemical composition (from EMEP4UK) were then used to calculate the water mass associated with the components of PM2.5 using the method by Snider et al. (2016)." }, { "ob_id": 37924, "uuid": "62af3c6051044460aa0a716e2204bffc", "short_code": "ob", "title": "Meteorological Data from Palas FIDAS 200 Instrument at Manchester Air Quality Site, 2019 onwards", "abstract": "Meteorological data including Temperature, Pressure and Humidity from a Palas FIDAS 200 Instrument at Manchester Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project from 2019-onwards." } ], "identifier_set": [], "responsiblepartyinfo_set": [ 218267, 218261, 218262, 218263, 218264, 218265, 218266 ], "onlineresource_set": [], "project_set": [] } ] }