Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=9700
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Such insights should lead to significant improvements within the sub-grid turbulence parametrisations that allow both km-scale global weather and climate simulations and sub-km-scale regional weather forecasts to more accurately predict the evolution and intensity of hazardous convective storms." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 58081, 58088, 74110, 75841, 75844, 75845, 75848, 75850, 75851, 75854, 75856, 75857, 75858, 75883, 75884, 75885, 75886, 75887, 75888, 75889, 75890, 75891, 75892, 75893 ], "vocabularyKeywords": [], "identifier_set": [ 13322 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 209639, 209640, 209641, 209642, 209643, 209644, 209645, 209646 ], "onlineresource_set": [] }, { "ob_id": 43850, "uuid": "edc03d280dab4549a23b8da869460b94", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (VCR-02),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot VCR-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. 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Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 209649, 209650, 209651, 209652, 209653, 209654, 209925, 209927, 209926 ], "onlineresource_set": [ 88693, 88694, 88695 ] }, { "ob_id": 43853, "uuid": "4731f72a886c47739fb5990c379c91dd", "title": "Gridded projections of ground and surface water abstraction and discharge for England 2020-2080", "abstract": "This dataset contains projected monthly surface and groundwater abstractions and annual discharges for England at 1 km × 1 km resolution, for the years 2020 to 2080 for three future scenarios: Economic Growth (EG), Business as Usual (BaU), and Sustainable (Sus). Further details are provided in the linked Data Document.\r\n\r\nThese datasets were produced by applying future scaling factors (derived from various publicly available water demand projections) to baseline datasets available at: https://dx.doi.org/10.5285/18886f95ba84447f997efac96df456ad (Rameshwaran et al., 2025). These datasets are designed to expore the impact of anthropogenic influences on future river flows and potential future resource challenges.\r\n\r\nThis data publication is supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability, and linked with the Climate Services for a Net Zero Resilient World (CS-N0W) project.", "creationDate": "2025-04-01T13:53:53.546421", "lastUpdatedDate": "2025-04-01T13:53:53", "latestDataUpdateTime": "2025-04-30T16:46:33", "updateFrequency": "notPlanned", "dataLineage": "The baseline abstraction and discharge data at a 1 km x 1 km resolution were sourced from https://dx.doi.org/10.5285/18886f95ba84447f997efac96df456ad; which was produced from the Environment Agency's (EA) Water Resources Geographic Information System (WRGIS 2017 and 2022 versions respectively).\r\nThe future projections were produced from the baseline data by applying scaling factors derived from existing water demand projections, as described in the attached data documentation.\r\nData was prepared by the project team before being uploaded to CEDA.", "removedDataReason": "", "keywords": "Abstractions,Discharges,Artificial Influences,Groundwater,Surface Water,CS-N0W,England,Hydrology,River Flows,Future Projections", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-06-03T16:00:06", "doiPublishedTime": "2025-06-03T16:15:04", "removedDataTime": null, "geographicExtent": { "ob_id": 4730, "bboxName": "", "eastBoundLongitude": 2.0712, "westBoundLongitude": -7.4866, "southBoundLatitude": 49.8057, "northBoundLatitude": 55.8287 }, "verticalExtent": null, "result_field": { "ob_id": 44237, "dataPath": "/badc/desnz-cs-now/data/future_abstraction_discharge", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 261941254, "numberOfFiles": 7, "fileFormat": "BADC-CSV" }, "timePeriod": { "ob_id": 12259, "startTime": "2020-01-01T00:00:00", "endTime": "2080-12-31T00:00:00" }, "resultQuality": { "ob_id": 4701, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-01" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44238, "uuid": "1b58c327cc3248908cc60c9914ab7f96", "short_code": "comp", "title": "Computation for Gridded projections of ground and surface water abstraction and discharge for England 2020-2080", "abstract": "This computation applied future scaling factors (derived from various publicly available water demand projections) to baseline datasets available at: https://dx.doi.org/10.5285/18886f95ba84447f997efac96df456ad (Rameshwaran et al., 2025)." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 41577, "uuid": "8ec3eebe683f473ca81404dc11cd7bb8", "short_code": "proj", "title": "CS-N0W (Climate Services for a Net Zero Resilient World)", "abstract": "The CS-N0W project (Climate services for a Net Zero resilient world - GOV.UK (www.gov.uk)) was commissioned by the UK Department for Energy Security and Net Zero (DESNZ). CS-N0W aims to enhance the scientific understanding of climate impacts, decarbonisation and climate action, and improve accessibility to UK climate data. 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The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through May 2024.\r\n\r\nThe GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended by means of GRACE-FO data starting from June 2018, thus including 200 monthly solutions. The mass change estimation is based on inversion method developed at DTU Space.\r\n\r\nTwo different types of products are available. First, the gridded mass trends product is comprised of ice mass change trends for cells of equal area with 44 km resolution covering the whole GIS and different drainage basins. Second, the mass change time series product provides time series of integrated mass changes for 8 drainage basins and the entire GIS over different 5-year periods between 2002 and 2024. Basin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document and the Product Specification Document which are provided on the project website. \r\n\r\nReference:\r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R. (2013) 'Scatter of mass changes estimates at basin scale for Greenland and Antarctica', The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-06-12T14:11:30", "updateFrequency": "", "dataLineage": "Data have been produced by DTU Space within the ESA Greenland Ice Sheet CCI project, and the original version is stored at data.dtu.dk https://doi.org/10.11583/DTU.12866579.\r\n\r\nA copy of the data has been supplied to the Centre for Environmental Data Analysis (CEDA) for the CCI Open Data Portal.", "removedDataReason": "", "keywords": "Greenland Ice Sheet, CCI, ESA, Gravimetric Mass Balance", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-30T08:47:03", "doiPublishedTime": "2025-04-30T12:47:46", "removedDataTime": null, "geographicExtent": { "ob_id": 4734, "bboxName": "", "eastBoundLongitude": -14.70672, "westBoundLongitude": -71.83566, "southBoundLatitude": 60.73857, "northBoundLatitude": 83.23728 }, "verticalExtent": null, "result_field": { "ob_id": 44235, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v3.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 76165469, "numberOfFiles": 60, "fileFormat": "NetCDF, Text file, PNG" }, "timePeriod": { "ob_id": 12273, "startTime": "2002-04-17T00:00:00", "endTime": "2024-05-19T00:00:00" }, "resultQuality": { "ob_id": 4722, "explanation": "The GMB has intrinsic low spatial resolution (about 250 km), so even if the gridded products are provided at higher resolution, the mass changes pattern seems more spread than what actually is. Comparison with products that have higher spatial resolution should be done using suitable filters.", "passesTest": true, "resultTitle": "Greenland Ice Sheet CCI GMB v3.0", "date": "2025-04-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43926, "uuid": "d763a207b0b64bfebb0485795c0fa342", "short_code": "cmppr", "title": "Composite process for ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data (CSR RL06), derived by DTU Space, v3.0", "abstract": "The DTU Space v3.0 Greenland Gravimetric Mass Balance (GMB) product has been derived from monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) primarily using K-Band ranging, accelerometer and GPS observations acquired by the GRACE and GRACE-FO twin-satellite missions.\r\n\r\nThe mass change estimation is based on inversion method developed at DTU Space." }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50542, 50543, 55882, 80386, 80387, 80388, 80389, 80390, 80391, 80392, 80393, 80394, 80395, 80396, 80397, 80398 ], "vocabularyKeywords": [], "identifier_set": [ 13367 ], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 209713, 209706, 209707, 209708, 209709, 209710, 209711, 209712, 209714, 209715, 209716 ], "onlineresource_set": [ 88713, 88714, 88715, 88716, 88717, 88718, 88765, 92788 ] }, { "ob_id": 43876, "uuid": "5a82b0ff8c964f6680de3e942b9a1bf2", "title": "NE/V001388/1 Data Repository", "abstract": "This dataset contains Scanning and Transmission Electron Microscopy (SEM and TEM) images and Atom Probe Tomography (APT) data related to the study of mineral microstructures and their magnetic properties. The data was collected as part of the NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from the Earth and Solar System?\" between September 2024 and March 2025. The dataset includes APT data files (.apt), which contain three-dimensional atomic-scale reconstructions of mineral samples. These are accompanied by range files (.RRNG) that define the elemental composition within each dataset. Selected Area Electron Diffraction (SAED) patterns (.dm4) provide crystallographic information, while STEM images (.dm4) capture fine-scale structures capture fine-scale structures. 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TEM lamellae and APT needles from the regions of interest were prepared using standard Focused Ion Beam lift out. TEM images, including SAED patterns, were obtained using a JEOL 2100F TEM. APT data was collected using a CAMECA LEAP 5000 instrument with acquisition parameters set to Laser Mode, a temperature of 50 K, a pulse frequency between 150-200 kHz, and a laser energy of 30 pJ. After acquisition, the data was processed and analyzed using specialized software tools such as CAMECA IVAS and APTLab for atom probe tomography and DigitalMicrograph for electron microscopy.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-04" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43878, "uuid": "269a07188db444408dedc212354445be", "short_code": "acq", "title": "Acquisition for: NE/V001388/1 Data Repository", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43877, "uuid": "8f325aa1373b49fea3cf258cca87d702", "short_code": "proj", "title": "Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from", "abstract": "To investigate the microstructural and compositional characteristics of iron-titanium oxide minerals and their impact on thermochemical remanent magnetisation (TCRM). TCRM plays a crucial role in understanding how minerals record past magnetic field intensities, which is essential for reconstructing Earth's and the Solar System’s magnetic history." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209743, 209744, 209745, 209746, 209747, 209748, 209749, 209750, 209751, 209752 ], "onlineresource_set": [] }, { "ob_id": 43880, "uuid": "18fb3b40cc91412396b338c1f8b7d9b9", "title": "Data Repository for NE/V001388/1", "abstract": "This dataset contains Scanning and Transmission Electron Microscopy (SEM and TEM) images and Atom Probe Tomography (APT) data related to the study of mineral microstructures and their magnetic properties. The data was collected as part of the NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from the Earth and Solar System?\" between September 2024 and March 2025. The dataset includes APT data files (.apt), which contain three-dimensional atomic-scale reconstructions of mineral samples. These are accompanied by range files (.RRNG) that define the elemental composition within each dataset. Selected Area Electron Diffraction (SAED) patterns (.dm4) provide crystallographic information , while Scanning Transmission Electron Microscopy (STEM) images (.dm4) capture the fine-scale structures of the samples.SEM Back-Scattered Electron (BSE) images (.tif) show bulk grains on which the finer analysis was performed.", "creationDate": "2025-04-04T15:11:58.048257", "lastUpdatedDate": "2025-04-04T15:11:58.048261", "latestDataUpdateTime": "2025-04-04T15:11:58.048263", "updateFrequency": "notPlanned", "dataLineage": "First, mineral samples were collected and prepared for analysis, including cutting, polishing and coating with a conductive Cr layer. SEM images were captured using Thermo Fisher (TF) Helios and TF Scios DualBeam systems and used for the identification of regions of interest. TEM samples and APT needles were prepared from said regions of interest using Focused Ion Beam (FIB) liftout and thinning. S/TEM images, including SAED patterns, were obtained using a JEOL 2100F TEM. APT data was collected using a CAMECA LEAP 5000 instrument with acquisition parameters set to Laser Mode, a temperature of 50 K, a pulse frequency between 150-200 kHz, and a laser energy of 30 pJ. The data was processed and analyzed using specialized software tools such as CAMECA IVAS and APTLAb for atom probe tomography and DigitalMicrograph and ImageJ for electron microscopy.", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": true, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": null, "timePeriod": { "ob_id": 12267, "startTime": "2024-09-30T00:00:00", "endTime": "2025-04-01T00:00:00" }, "resultQuality": { "ob_id": 4706, "explanation": "Strict quality control measures were implemented throughout the data collection and processing stages to ensure high accuracy and reliability. Instrument calibration and alignment were regularly performed to maintain optimal performance. For SEM and TEM imaging, resolution and contrast settings were carefully adjusted to capture detailed microstructural information, while SAED patterns were verified against known crystallographic databases to confirm mineral phase identifications. APT data collection followed established best practices, including maintaining stable laser energy and temperature conditions to minimize noise and maximize data integrity. Post-processing validation was conducted using software tools such as CAMECA IVAS, ensuring correct identification of elemental species and spatial accuracy in reconstructed datasets.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 43881, "uuid": "b992c3097a4a44798905fe3fa04263cc", "short_code": "proj", "title": "NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic F", "abstract": "" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209758, 209759, 209760, 209761, 209762, 209763, 209764, 209765, 209766, 209767, 209768 ], "onlineresource_set": [] }, { "ob_id": 43882, "uuid": "257e911489484af7881c81a36e76789b", "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.", "creationDate": "2025-03-28T11:22:27.588628", "lastUpdatedDate": "2025-03-28T11:22:27", "latestDataUpdateTime": "2025-04-30T14:06:48", "updateFrequency": "notPlanned", "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "NCAS, observation measurements", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-08T11:30:35", "doiPublishedTime": "2025-05-08T12:55:11.122480", "removedDataTime": null, "geographicExtent": { "ob_id": 4548, "bboxName": "Chilbolton Hampshire Uk", "eastBoundLongitude": -1.437, "westBoundLongitude": -1.437, "southBoundLatitude": 51.1445, "northBoundLatitude": 51.1445 }, "verticalExtent": null, "result_field": { "ob_id": 43883, "dataPath": "/badc/woest/data/stfc-radar-wind-profiler-1/20230601_woest/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 211006659, "numberOfFiles": 212, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12268, "startTime": "2023-06-01T00:00:00", "endTime": "2023-09-28T23:59:59" }, "resultQuality": { "ob_id": 4568, "explanation": "These data have been produced in accordance to standard NCAS observational practices. This includes instrument calibration and compliance checking of data against the NCAS Data Standards.", "passesTest": true, "resultTitle": "NCAS Standard Data Quality Statement", "date": "2024-06-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43884, "uuid": "aa4f49c46f944765a5454bee4152483d", "short_code": "acq", "title": "WesCon - Observing the Evolving Structures of Turbulence (WOEST): STFC Degreane 1290mhz Mobile Wind Profiler Radar instrument deployed at Chilbolton Atmospheric Observatory", "abstract": "WesCon - Observing the Evolving Structures of Turbulence (WOEST): STFC Degreane 1290mhz Mobile Wind Profiler Radar instrument deployed at Chilbolton Atmospheric Observatory" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 228 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43720, "uuid": "d3685300168848f290dd3a9ec14cc8ac", "short_code": "proj", "title": "Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST)", "abstract": "This project, WesCon - Observing the Evolving Structures of Turbulence (WOEST), complements the Met Office's Wessex Convection Experiment (WesCon) project by enabling frequent observations of the same turbulent structures at high resolution. In terms of moist convective turbulence, WOEST will radically advance observations of cloud dynamics by tracking precipitating cores of convective clouds and the turbulent regions embedded within them in real-time using four dual-polarisation Doppler radars. The radar scans will also be coordinated with the FAAM aircraft location to enable coincident observations. In terms of boundary-layer turbulence and variability, their evolution will be captured uniquely by multiple UAS, which will be coordinated to capture hourly profiles of temperature, humidity, and winds to study the small-scale variability in the lowest 2km of the atmosphere. Additionally, an array of cloud cameras will be used to reconstruct the 3D motion and evolution of boundary-layer clouds, to be related to the turbulent and dynamic evolution of the boundary layer as measured by remote sensing instruments such as lidar (to measure cloud bases and humidity profiles) and wind profilers.\r\n\r\nThe observations gathered in WOEST will capture turbulent processes in the atmosphere at a range of fine spatial and temporal scales. Our multi-instrument approach will enable us to evaluate simulations of turbulence and dynamics in convective clouds and how the structure and evolution of the boundary layer influence moist convective turbulence at a range of scales, including at the process-level relating turbulence to the strength and size of updrafts. This will lead to a new understanding of the variability and evolution of the boundary layer in the context of the surrounding cloud field and the variability of turbulence and cloud dynamics. Such insights should lead to significant improvements within the sub-grid turbulence parametrisations that allow both km-scale global weather and climate simulations and sub-km-scale regional weather forecasts to more accurately predict the evolution and intensity of hazardous convective storms." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 58081, 58088, 74110, 75841, 75844, 75845, 75848, 75850, 75851, 75854, 75856, 75857, 75858, 75883, 75884, 75885, 75886, 75887, 75888, 75889, 75890, 75891, 75892, 75893 ], "vocabularyKeywords": [], "identifier_set": [ 13377 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 209770, 209771, 209775, 209772, 209773, 209774, 209776, 209777 ], "onlineresource_set": [] }, { "ob_id": 43890, "uuid": "c7cd8115391340638bdd9adb0fbf28e9", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Drift-aware sea-ice thickness for the Northern Hemisphere from CryoSat-2, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from CryoSat-2, covering the entire Arctic sea ice domain. Daily files are provided during boreal winter seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. This dataset synergizes sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. Individual parcels of satellite altimeter measurements are advected daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, this allows the determination of sea ice that was overflown by the satellite multiple times, and therefore the estimation of growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, as part of the ESA CCI Sea Ice project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-05-22T01:57:22", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal. The following organisations were involved in the Sea_Ice_CCI project which resulted in production of this dataset: NORCE Norwegian Research Centre, Norwegian Meteorological Institute, Alfred Wegener Institute.", "removedDataReason": "", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-21T14:15:26", "doiPublishedTime": "2025-05-21T14:28:21", "removedDataTime": null, "geographicExtent": { "ob_id": 4782, "bboxName": "", "eastBoundLongitude": 179.867063395126, "westBoundLongitude": -179.867063395126, "southBoundLatitude": 16.623926693003686, "northBoundLatitude": 89.84173116872492 }, "verticalExtent": null, "result_field": { "ob_id": 44183, "dataPath": "/neodc/esacci/sea_ice/data/drift_aware_sea_ice_thickness/L3C/cryosat/v1.0/NH", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5883501229, "numberOfFiles": 1101, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12372, "startTime": "2010-11-01T00:00:00", "endTime": "2020-04-30T00:00:00" }, "resultQuality": { "ob_id": 4512, "explanation": "See the Sea Ice CCI documentation for information on data quality.", "passesTest": true, "resultTitle": "Sea Ice CCI Data Quality Statement", "date": "2024-01-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44352, "uuid": "3f9fbc185dcc4c5ca76c41fb76ceb5a1", "short_code": "comp", "title": "Computation for ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Retrieval of drift-aware sea-ice thickness from radar altimetry and passive microwave drift data", "abstract": "The method used to extract sea-ice thickness from radar altimetry data is based on the pioneering work of Peacock and Laxon, 2004; Laxon et al., 2003 for the ERS-2 mission. The method involves separating the radar echoes returning from the ice floes from those returning from the sea surface in the leads between the floes. This step of a surface-type classification is crucial and allows for a separate determination of the ice floe and sea-surface heights. The freeboard that is the elevation of the ice upper side (or ice/snow interface) above the sea level can then be computed by deducting the interpolated sea-surface height at the floe location from the height of the floe. Using the freeboard and additional snow load information, sea-ice thickness is then computed along the satellite track. To account for sea-ice motion, the along-track thickness estimates are combined with drift data from passive microwave sensors (Lavergne & Down, 2023). Individual measurement parcels are advected daily over a one-month period, resulting in drift-aware sea-ice thickness maps that reflect the evolving distribution of the ice." }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2573, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 40, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. 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. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 63576, 74945, 74946, 75280, 75287, 85586, 85587, 85588, 85589, 85590, 85591, 85592, 85593, 85594, 85595, 85596, 85597, 85598, 85599, 85600, 85601, 85602 ], "vocabularyKeywords": [], "identifier_set": [ 13391 ], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The 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." } ], "responsiblepartyinfo_set": [ 209797, 209800, 209799, 209801, 209802, 209803, 209804, 209808, 209807, 210442, 210443, 210444 ], "onlineresource_set": [ 88732, 88733, 88788, 88880, 88881, 88731 ] }, { "ob_id": 43891, "uuid": "95913ffb6467447ca72c4e9d8cf30501", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022, v6.0", "abstract": "This dataset comprises estimates of forest above-ground biomass (AGB) for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team.\r\n\r\nThis release of the data is version 6. Compared to version 5, version 6 consists of an update of the maps of AGB for the years 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and new AGB maps for 2007 and 2022. AGB change maps have been created for consecutive years (e.g., 2020-2019), for a decadal interval (2020-2010) as well as for the interval 2010-2007. The pool of remote sensing data includes multi-temporal observations at L-band for all biomes and for all years and extended ICESat-2 observations to calibrate retrieval models. A cost function that preserves the temporal features as expressed in the remote sensing data has been refined to limit biases between the 2007-2010 and the 2015+ maps.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots per unit area\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAdditionally provided in this version release are aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nIn addition, files describing the AGB change between two consecutive years (i.e., 2016-2015, 2017-2016, 2018-2017, 2019-2018, 2020-2019, 2021-2020, 2022-2021), over a decade (2020-2010) and over 2010-2007 are provided. Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.\r\n\r\nData are provided in both netcdf and geotiff format.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-04-16T14:20:54", "updateFrequency": "notPlanned", "dataLineage": "Data was created by the Biomass CCI team.", "removedDataReason": "", "keywords": "ESA, CCI, Biomass", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-17T13:48:29", "doiPublishedTime": "2025-04-17T13:54:49", "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44086, "dataPath": "/neodc/esacci/biomass/data/agb/maps/v6.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 698903279132, "numberOfFiles": 11442, "fileFormat": "geotiff and netcdf" }, "timePeriod": { "ob_id": 12302, "startTime": "2007-01-01T00:00:00", "endTime": "2022-12-31T23:59:59" }, "resultQuality": { "ob_id": 3355, "explanation": "For information on the quality of the data see the documentation and website for the Biomass CCI", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2019-11-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43892, "uuid": "5e1bb66a866b4d20adbe9233b3b9af0a", "short_code": "cmppr", "title": "CCI Biomass v6.0", "abstract": "CCI Biomass" }, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2542, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 20, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 29954, "uuid": "748552f369494506bc790c8a51854c38", "short_code": "proj", "title": "ESA CCI Biomass Climate Change Initiative (CCI)", "abstract": "The primary science objective ESA’s Climate Change Initiative + Biomass project is to provide global maps of above-ground biomass (Mg ha-1) with these being capable of supporting quantification of biomass change. The mapping aims to achieve 500 m to 1 km spatial resolution with a relative error of less than 20 % where AGB exceeds 50 Mg ha-1. Although this resolution is finer than required for current climate modelling, it will allow more refined information to be inferred (e.g. forest age structure and the disturbance regime) that is relevant for climate and has the potential to be exploited by carbon cycle and climate models as they develop." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 66280, 66281, 66282, 66283, 66285, 66286, 66287, 75116, 75117, 75118, 75119, 75120, 75121 ], "vocabularyKeywords": [], "identifier_set": [ 13319 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209809, 209810, 209811, 209812, 209813, 209814, 209815, 209816, 209817, 209818 ], "onlineresource_set": [ 88736, 88737, 92775 ] }, { "ob_id": 43895, "uuid": "75154cb17fa145baae459e13af7777d2", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-02-12T12:37:08", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T14:57:49", "doiPublishedTime": "2025-09-15T15:13:42.738776", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43897, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-eas126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1205436847692, "numberOfFiles": 1327, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71574, 71615, 71618, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009, 83842 ], "vocabularyKeywords": [], "identifier_set": [ 13542 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209830, 209824, 209825, 209826, 209827, 209828, 209829, 209839 ], "onlineresource_set": [ 88740, 88741 ] }, { "ob_id": 43898, "uuid": "93f964d370104d5c9c5b1c0d82f8b846", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-02-12T13:12:44", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-04-28T14:58:16", "doiPublishedTime": "2025-09-15T15:14:37.469263", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43899, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-sas126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1205189492756, "numberOfFiles": 1326, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009, 83842 ], "vocabularyKeywords": [], "identifier_set": [ 13543 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209831, 209832, 209833, 209834, 209835, 209836, 209837, 209838 ], "onlineresource_set": [ 88742, 88743 ] }, { "ob_id": 43900, "uuid": "ec6e5980a74a4c69a8fde0b4d81a658d", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:19", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T14:48:59", "doiPublishedTime": "2025-09-15T15:12:47.822444", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43901, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-nae126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1205747362681, "numberOfFiles": 1327, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50549, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 83006, 83008, 83009, 83842 ], "vocabularyKeywords": [], "identifier_set": [ 13540 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209840, 209841, 209842, 209843, 209844, 209845, 209846, 209847 ], "onlineresource_set": [ 88745, 88746 ] }, { "ob_id": 43902, "uuid": "13b310fc41f04792ad7f84ad8d80f1c3", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:18", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T14:55:39", "doiPublishedTime": "2025-09-15T15:13:13.383860", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43903, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-afr126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1205753126992, "numberOfFiles": 1327, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009, 83842 ], "vocabularyKeywords": [], "identifier_set": [ 13541 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209850, 209851, 209852, 209853, 209854, 209855, 209848, 209849 ], "onlineresource_set": [ 88747, 88748 ] }, { "ob_id": 43904, "uuid": "5e2588d9fcc2409bb572402108622b3e", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:15", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-17T12:39:15", "doiPublishedTime": "2025-09-15T15:12:24.946442", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43905, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1205063038469, "numberOfFiles": 1327, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009, 83842 ], "vocabularyKeywords": [], "identifier_set": [ 13539 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209856, 209857, 209858, 209859, 209860, 209861, 209862, 209863 ], "onlineresource_set": [ 88749, 88750 ] }, { "ob_id": 43906, "uuid": "2140af6da1b44861a74e66333ed277c9", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:15", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T16:02:23", "doiPublishedTime": "2025-09-15T15:17:23.464400", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43908, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-afr126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53080487650, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13549 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209864, 209865, 209866, 209867, 209868, 209869, 209870, 209871 ], "onlineresource_set": [ 88751, 88752 ] }, { "ob_id": 43909, "uuid": "cf87f3ebcaa04c03b9f7079d9aa270cd", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-04-16T10:33:36", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T14:47:42", "doiPublishedTime": "2025-09-15T15:11:58.180992", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43910, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1100108515849, "numberOfFiles": 907, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50595, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54315, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 61268, 62368, 62736, 71572, 71615, 71618, 71627, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009 ], "vocabularyKeywords": [], "identifier_set": [ 13538 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209881, 209882, 209883, 209884, 209885, 209886, 209887, 209888 ], "onlineresource_set": [ 88755, 88756 ] }, { "ob_id": 43912, "uuid": "f5cf862872d240dcab86a0d67eb16699", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:57:39", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T15:01:22", "doiPublishedTime": "2026-02-17T10:55:16.643016", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43913, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-sas126ca", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1438532877210, "numberOfFiles": 1486, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54302, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 79858, 79861, 79862, 79864, 79865, 82138, 82139, 82144, 82146, 82152, 83006, 83007, 83008, 83009 ], "vocabularyKeywords": [], "identifier_set": [ 13725 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209893, 209894, 209895, 209896, 209897, 209890, 209891, 209892 ], "onlineresource_set": [ 88758, 88757 ] }, { "ob_id": 43914, "uuid": "e83f26cb113544db8db274a194b49977", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:55:03", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-09-25T15:59:47", "doiPublishedTime": "2026-02-17T10:55:58.114967", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43915, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-asia126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1438159593216, "numberOfFiles": 1486, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 50620, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54302, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79857, 79858, 79861, 79862, 79864, 79865, 82138, 82139, 82144, 82146, 82152, 83006, 83007, 83008, 83009 ], "vocabularyKeywords": [], "identifier_set": [ 13726 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209904, 209905, 209898, 209899, 209900, 209901, 209902, 209903 ], "onlineresource_set": [ 88759, 88760 ] }, { "ob_id": 43916, "uuid": "146acf9cfe564eaba7e20a190e922d44", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-09-25T16:02:00", "doiPublishedTime": "2026-02-17T10:56:09.602827", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43917, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/ssp370-saf126ca", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1439165104979, "numberOfFiles": 1486, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12046, "startTime": "2015-01-01T00:00:00", "endTime": "2051-02-28T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 27599, 27685, 50062, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50566, 50569, 50570, 50578, 50579, 50580, 50583, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50611, 50613, 50615, 50616, 52664, 52746, 52755, 54088, 54215, 54242, 54252, 54265, 54268, 54302, 54328, 54329, 54340, 54372, 54442, 54810, 54811, 54812, 54813, 54820, 54821, 59430, 59431, 59462, 59464, 59905, 60368, 60369, 62368, 62736, 71572, 71574, 71615, 71618, 71627, 71632, 71633, 71646, 71659, 71666, 71677, 71681, 71683, 71687, 79247, 79858, 79861, 79862, 79864, 79865, 82138, 82139, 82144, 82146, 82152, 83006, 83008, 83009, 83940 ], "vocabularyKeywords": [], "identifier_set": [ 13727 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 209911, 209906, 209907, 209908, 209912, 209909, 209910, 209913 ], "onlineresource_set": [ 88761, 88762 ] }, { "ob_id": 43919, "uuid": "826c4184a49640659558eeb03f796414", "title": "TLS-ARCH terrestrial laser scanner data; Curtain Fig (AEP-33), North Queensland, Australia, August 2018", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot (AEP-33) Curtain Fig is part of the CSIRO Rainforest Permanent Plots of North Queensland (Graham et al. 2006)\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-04-10T01:56:56", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "tls, biomass, trees, Curtain Fig, AEP-33, Australia", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-08T11:16:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4732, "bboxName": "TLS AEP-33", "eastBoundLongitude": 145.5708, "westBoundLongitude": 145.5708, "southBoundLatitude": -17.2861, "northBoundLatitude": -17.2861 }, "verticalExtent": null, "result_field": { "ob_id": 43920, "dataPath": "/neodc/tls/data/raw/australia/AEP-33/2018-08-24.001.riproject", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 26337564439, "numberOfFiles": 1180, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file." }, "timePeriod": { "ob_id": 12269, "startTime": "2018-08-24T00:00:00", "endTime": "2018-08-25T00:00:00" }, "resultQuality": { "ob_id": 4707, "explanation": "Data quality control conducted by UCL TLS-ARCH project team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-08" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43921, "uuid": "8a32c6cd396245bdb852c7c4f6d1e608", "short_code": "acq", "title": "TLS-ARC Curtain Fig (AEP-33), July 2018", "abstract": "TLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degress for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43637, "uuid": "3d37d6d2993b4c6ea667593e63537b83", "short_code": "proj", "title": "Understanding tree architecture, form and function in the tropics", "abstract": "This project was funded by NERC under grant_number: NE/P011780/1. \r\n\r\nThe basic shape and branching structure of a tree can be distinctive and characteristic, yet there exists no consistent dataset quantifying how tree form varies across species and how it is related to other functional traits of a tree. Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 209915, 209916, 209921, 209917, 209918, 209919, 209922, 209920, 209923 ], "onlineresource_set": [ 88763, 88764 ] }, { "ob_id": 43923, "uuid": "ca9eca7c830e49b29c88650db0a4aab1", "title": "South Asian Nitrogen Hub Regional Marine Biogeochemistry Model under baseline scenario conditions (1993-2020)", "abstract": "This dataset contains outputs of a simulation from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the South East Asia region. Atmospheric forcing is provided by ERA5, with lateral ocean boundaries from the CMEMS global forecast. Biogeochemical tracers are initialised and forced by a combination of world ocean atlas, GloDAP, and OC-CCI data. Outputs are provided as daily and monthly files on a {t,u,v,w}-grid. Additional monthly output used in the construction of a nitrogen budget is also provided. For this simulation, riverine input and nitrogen deposition is input into the marine environment under baseline conditions using 2015 as a reference. The model configuration is named SAsia. The outputs were generated under the South Asian Nitrogen Hub (SANH; NE/S009019/1) project.", "creationDate": "2025-04-08T13:12:41.801029", "lastUpdatedDate": "2025-04-08T13:12:41", "latestDataUpdateTime": "2025-04-10T01:58:34", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-03-07T13:34:50", "doiPublishedTime": "2025-03-07T13:34:50", "removedDataTime": null, "geographicExtent": { "ob_id": 4733, "bboxName": "", "eastBoundLongitude": 99.0, "westBoundLongitude": 61.5, "southBoundLatitude": 1.0, "northBoundLatitude": 27.0 }, "verticalExtent": null, "result_field": { "ob_id": 43922, "dataPath": "/bodc/pml250729", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1694015169469, "numberOfFiles": 1946, "fileFormat": null }, "timePeriod": { "ob_id": 12271, "startTime": "1993-01-01T00:00:00", "endTime": "2020-01-01T23:59:59" }, "resultQuality": { "ob_id": 4708, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2025-04-08" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27692, 27702, 27703, 36269, 36270, 40492, 49688, 50623, 50624, 52949, 52960, 52977, 60148, 63060, 64130, 83976, 83977, 83978, 83979, 83980, 83981, 83982, 83983, 83984, 83985, 83986, 83987, 83988, 83989, 83990, 83991, 83992, 83993, 83994, 83995, 83996, 83997, 83998, 83999, 84000, 84001, 84002, 84003, 84004, 84005, 84006, 84007, 84008, 84009, 84010, 84011, 84012, 84013, 84014, 84015, 84016, 84017, 84018, 84019, 84020, 84021, 84022, 84023, 84024, 84025, 84026, 84027, 84028, 84029, 84030, 84031, 84032, 84033, 84034, 84035, 84036, 84037, 84038, 84039, 84040, 84041, 84042, 84043, 84044, 84045, 84046, 84047, 84048, 84049, 84050, 84051, 84052, 84053, 84054, 84055, 84056, 84057, 84058, 84059, 84060, 84061, 84062, 84063, 84064, 84065, 84066, 84067, 84068, 84069, 84070, 84071, 84072, 84073, 84074, 84075, 84076, 84077, 84078, 84079, 84080, 84081, 84082, 84083, 84084, 84085, 84086, 84087, 84088, 84089, 84090, 84091, 84092, 84093, 84094, 84095, 84096, 84097, 84098, 84099, 84100, 84101, 84102 ], "vocabularyKeywords": [], "identifier_set": [ 13292 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 209931, 209933, 209932, 209930, 209929, 209928, 209934, 209935, 209936, 209937, 209938, 209939, 209940, 209941 ], "onlineresource_set": [] }, { "ob_id": 43925, "uuid": "0ca0d19dee134284ba9a888321c022a1", "title": "South Asian Nitrogen Hub Regional Marine Biogeochemistry Model hindcast runs under three nitrogen production scenarios (2004-2020)", "abstract": "This dataset contains outputs of three simulations from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the South East Asia region. Atmospheric forcing is provided by ERA5, with lateral ocean boundaries from the CMEMS global forecast. Biogeochemical tracers are initialised and forced by a combination of world ocean atlas, GloDAP, and OC-CCI data. The output is provided as daily and monthly files on a {t,u,v,w}-grid. Additional monthly output used in the construction of a nitrogen budget is also provided. Three different simulations were run with varying river input and nitrogen deposition: 1) under current legislation conditions (at the time of publication), which include projected trends of activity and change in environmental factors to include the impact of recent legislation (for example the mandatory use of Neem Coated Urea); 2) under maximum technically feasible reduction in overall nitrogen production conditions, including the projected trends of activity, the impact of current legislation (e.g. neem coated urea), along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing; 3) under maximum technically feasible reduction in overall nitrogen production plus a change in human diet conditions, including the projected trends of activity, the impact of current legislation, along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing, and the additional assumption of an overall change in human diet towards foods that produce less nitrogen during their production. The simulations are performed as hindcasts but are used to assess future behaviour under a given scenario. The model configuration is named SAsia. The outputs were generated under the South Asian Nitrogen Hub (SANH; NE/S009019/1) project.", "creationDate": "2025-04-08T13:18:03.996869", "lastUpdatedDate": "2025-04-08T13:18:03", "latestDataUpdateTime": "2025-04-10T01:58:33", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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It runs from January 2022 until March 2028" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. 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The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 209988, 209989, 209990, 209991, 209992, 209993, 209994, 209995, 209996 ], "onlineresource_set": [ 88773, 88774, 88775 ] }, { "ob_id": 43938, "uuid": "26bd74cc70c84bcea4e0726a3342d839", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-02),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. 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Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210005, 209998, 209999, 210000, 210001, 210002, 210003, 210004, 210006 ], "onlineresource_set": [ 88776, 88777, 88778 ] }, { "ob_id": 43940, "uuid": "a9d4d3398f49427ba214ca37f0782e68", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (NXV-01),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot NXV-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). 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Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. 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These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210007, 210008, 210009, 210010, 210011, 210012, 210013, 210014, 210015 ], "onlineresource_set": [ 88780, 88781, 88779 ] }, { "ob_id": 43942, "uuid": "cfa35fbf01014a649544ecff779a89d3", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-01),Brazil, August 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. 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BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210016, 210017, 210018, 210019, 210020, 210021, 210022, 210023, 210024 ], "onlineresource_set": [ 88782, 88783, 88784 ] }, { "ob_id": 43944, "uuid": "6bc486defec1422fbef729ff84cb3ff3", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (CRP-02),Brazil, August 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot CRP-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "creationDate": "2025-03-31T16:34:22.817779", "lastUpdatedDate": "2025-03-31T16:26:09", "latestDataUpdateTime": "2022-02-08T17:37:35", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "TLS, Brazil, CRP-02, BIOMASS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-08T18:39:01", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4740, "bboxName": "TLS ARCH CRP-02", "eastBoundLongitude": -52.3525, "westBoundLongitude": -52.3525, "southBoundLatitude": -14.7129, "northBoundLatitude": -14.7129 }, "verticalExtent": null, "result_field": { "ob_id": 43945, "dataPath": "/neodc/tls/data/raw/brazil/CRP-02/2019-08-28.001.PROJ/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12752177054, "numberOfFiles": 707, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file" }, "timePeriod": { "ob_id": 12279, "startTime": "2019-08-27T00:00:00", "endTime": "2019-08-28T00:00:00" }, "resultQuality": { "ob_id": 4700, "explanation": "Data quality control conducted by UCL TLS-ARCH project team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-31" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43937, "uuid": "a552793e28e2467eb8e1ce6b613d6c16", "short_code": "acq", "title": "TLS-ARCH common coregistered matrix", "abstract": "TLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degress for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43637, "uuid": "3d37d6d2993b4c6ea667593e63537b83", "short_code": "proj", "title": "Understanding tree architecture, form and function in the tropics", "abstract": "This project was funded by NERC under grant_number: NE/P011780/1. \r\n\r\nThe basic shape and branching structure of a tree can be distinctive and characteristic, yet there exists no consistent dataset quantifying how tree form varies across species and how it is related to other functional traits of a tree. Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210032, 210025, 210026, 210027, 210028, 210029, 210030, 210031, 210033 ], "onlineresource_set": [ 88785, 88786, 88787 ] }, { "ob_id": 43946, "uuid": "eb8191228ff84aa285cd02cb66553ab0", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice: drift-aware sea-ice thickness for the Southern Hemisphere from CryoSat-2, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from CryoSat-2, covering the entire Antarctic sea ice domain. Daily files are provided during austral summer seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. We therefore suggest synergizing sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. With our approach, we successively advect individual parcels of satellite altimeter measurements daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, we can also determine sea ice that was overflown by the satellite multiple times. This allows to estimate growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nNORCE, METNO", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": { "ob_id": 4512, "explanation": "See the Sea Ice CCI documentation for information on data quality.", "passesTest": true, "resultTitle": "Sea Ice CCI Data Quality Statement", "date": "2024-01-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. 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. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The 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." } ], "responsiblepartyinfo_set": [ 210034, 210035, 210036, 210037, 210038, 210039, 210040, 210041, 210042 ], "onlineresource_set": [ 88789, 88790, 88791, 88792 ] }, { "ob_id": 43947, "uuid": "97791d46330b42838af744301c74a9fb", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Drift-aware sea-ice thickness for the Northern Hemisphere from Envisat, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from Envisat, covering the entire Arctic sea ice domain. Daily files are provided during boreal winter seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. This dataset synergizes sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. Individual parcels of satellite altimeter measurements are advected daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, this allows the determination of sea ice that was overflown by the satellite multiple times, and therefore the estimation of growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, as part of the ESA CCI Sea Ice project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-04-29T16:57:03", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal. The following organisations were involved in the Sea_Ice_CCI project which resulted in production of this dataset: NORCE Norwegian Research Centre, Norwegian Meteorological Institute, Alfred Wegener Institute.", "removedDataReason": "", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-21T14:15:19", "doiPublishedTime": "2025-05-21T14:28:37", "removedDataTime": null, "geographicExtent": { "ob_id": 4783, "bboxName": "", "eastBoundLongitude": 179.867063395126, "westBoundLongitude": -179.867063395126, "southBoundLatitude": 16.623926693003686, "northBoundLatitude": 89.84173116872492 }, "verticalExtent": null, "result_field": { "ob_id": 44182, "dataPath": "/neodc/esacci/sea_ice/data/drift_aware_sea_ice_thickness/L3C/envisat/v1.0/NH", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6038255208, "numberOfFiles": 1213, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12371, "startTime": "2002-10-01T00:00:00", "endTime": "2012-03-31T00:00:00" }, "resultQuality": { "ob_id": 4512, "explanation": "See the Sea Ice CCI documentation for information on data quality.", "passesTest": true, "resultTitle": "Sea Ice CCI Data Quality Statement", "date": "2024-01-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44352, "uuid": "3f9fbc185dcc4c5ca76c41fb76ceb5a1", "short_code": "comp", "title": "Computation for ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Retrieval of drift-aware sea-ice thickness from radar altimetry and passive microwave drift data", "abstract": "The method used to extract sea-ice thickness from radar altimetry data is based on the pioneering work of Peacock and Laxon, 2004; Laxon et al., 2003 for the ERS-2 mission. The method involves separating the radar echoes returning from the ice floes from those returning from the sea surface in the leads between the floes. This step of a surface-type classification is crucial and allows for a separate determination of the ice floe and sea-surface heights. The freeboard that is the elevation of the ice upper side (or ice/snow interface) above the sea level can then be computed by deducting the interpolated sea-surface height at the floe location from the height of the floe. Using the freeboard and additional snow load information, sea-ice thickness is then computed along the satellite track. To account for sea-ice motion, the along-track thickness estimates are combined with drift data from passive microwave sensors (Lavergne & Down, 2023). Individual measurement parcels are advected daily over a one-month period, resulting in drift-aware sea-ice thickness maps that reflect the evolving distribution of the ice." }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2573, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 40, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. 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. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 63576, 74945, 74946, 75280, 75287, 85586, 85587, 85588, 85589, 85590, 85591, 85592, 85593, 85594, 85595, 85596, 85597, 85598, 85599, 85600, 85601, 85602 ], "vocabularyKeywords": [], "identifier_set": [ 13392 ], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The 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." } ], "responsiblepartyinfo_set": [ 210046, 210047, 210048, 210049, 210050, 210043, 210044, 210045, 210051, 211260, 211261, 211262 ], "onlineresource_set": [ 92878, 92879, 88793, 88794, 88795, 88796 ] }, { "ob_id": 43948, "uuid": "e74c6b7eb76645ed8b1b88ecb3d6dcc8", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice: drift-aware sea-ice thickness for the Southern Hemisphere from Envisat, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from Envisat, covering the entire Antarctic sea ice domain. Daily files are provided during austral summer seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. We therefore suggest synergizing sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. With our approach, we successively advect individual parcels of satellite altimeter measurements daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, we can also determine sea ice that was overflown by the satellite multiple times. This allows to estimate growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nNORCE, METNO", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": { "ob_id": 4512, "explanation": "See the Sea Ice CCI documentation for information on data quality.", "passesTest": true, "resultTitle": "Sea Ice CCI Data Quality Statement", "date": "2024-01-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. 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. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The 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." } ], "responsiblepartyinfo_set": [ 210052, 210053, 210054, 210055, 210056, 210057, 210058, 210059, 210060 ], "onlineresource_set": [ 88797, 88798, 88799, 88800 ] }, { "ob_id": 43949, "uuid": "1586484320b24ce887290468dafb8b28", "title": "TLS-ARCH terrestrial laser scanner data; branch scan projects from Australia, Brazil and Malaysia, June 2018 - July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Approximately 600 branches were harvested, had their leaves removed and were scanned in a controlled environment. More information can be found in Wilkes et al. 2021. Terrestrial laser scanning to reconstruct branch architecture from harvested branches in the documentation section. \r\n\r\nA RIEGL VZ-400 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH) was used for all scans. In all, 1–6 branches (dependent on branch size) were arranged in a group, orientated so that they would not touch each other or the ground, and scanned simultaneously. Branches were secured in the end of metal tubing and placed in buckets of sand to minimise movement. Fiducial markers (akin to QR codes) were placed on the floor to allow identification of each branch in post-processing. The markers include a pattern of four retroreflective stickers (10 mm ∅) which were used to co-register scans. Between four and six scan positions (collectively known as a project), located around the branches, were used to capture each set of branches. At each position, a single scan was performed where the scanner rotation axis was approximately perpendicular to the ground plane. A 100 degrees × 80 degrees field of view was captured at an angular resolution of 0.02 degrees ; each scan took 2:45 min where ∼20M laser pulses were fired. \r\n\r\nThe VZ-400 beam has an exit diameter of 0.007 m and a beam divergence of 0.35 mrad; branches were at a maximum distance of 5 m from the scanner, and at this distance maximum cross-sectional beam diameter is ∼0.01 m. The scanning area needed to be large enough to allow easy movement around the branches and minimum distance between the scanner and target (for the RIEGL VZ-400, this is 0.5 m). It should be noted, owing to the restricted scanning field of view, large or featureless areas required additional ‘features’ (e.g. furniture in the scanning field of view) to assist with registration. Initially, scanning was performed outside but it became clear that branch tips would oscillate even with very low wind speeds; therefore, scanning was moved to an indoor space. Co-registration of scans in a project is a two-step process (coarse- and fine-registration) that produces a 4 × 4 roto-transformation matrix for each scan position. When applied, a scan is rotated into a common, arbitrary coordinate system (nominally referenced to the first scan position). \r\n\r\nCo-registration of a project was done using RiSCAN Pro (version 2.5.1; RIEGL Laser Measurement Systems GmbH). Coarse registration was achieved using the retro-reflective stickers on the corners of the fiducial markers. Fine registration was computed using RiSCAN Pro’s Multi-Station Adjustment (MSA) method (RIEGL Laser Measurement Systems GmbH, 2019). MSA fits a set of planes to a point cloud by iteratively voxelising the point cloud, with each iteration voxel edge length decreases until plane fit error is below a specified threshold (or no plane is fit if voxel edge of minimum number of point thresholds are exceeded). Here voxel edge length decreased from 1.024 to 0.064 m, minimum points were 10 and maximum plane error was 0.006 m; this resulted in 7,000– 20,000 planes per scan position. MSA then uses a least square solution to iteratively adjust scan position to minimise positional error between overlapping planes.", "creationDate": "2025-03-13T11:56:29.560900", "lastUpdatedDate": "2025-03-13T11:24:32", "latestDataUpdateTime": "2021-12-11T19:42:40", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "terrestrial laser scanner, TLS-ARCH, Branches, Australia, Gabon, Malaysia Biomass", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-23T11:11:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4742, "bboxName": "TLS ARCH Branches", "eastBoundLongitude": 145.016, "westBoundLongitude": -52.3525, "southBoundLatitude": -17.2861, "northBoundLatitude": 4.747 }, "verticalExtent": null, "result_field": { "ob_id": 43951, "dataPath": "/neodc/tls/data/raw/branches-tls", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 206588777176, "numberOfFiles": 5424, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file." }, "timePeriod": { "ob_id": 12147, "startTime": "2018-06-26T00:00:00", "endTime": "2018-07-30T00:00:00" }, "resultQuality": { "ob_id": 4710, "explanation": "Data quality control conducted by UCL TLS-ARCH project team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-09" }, "validTimePeriod": { "ob_id": 12280, "startTime": "2018-06-22T00:00:00", "endTime": "2019-07-25T00:00:00" }, "procedureAcquisition": { "ob_id": 43950, "uuid": "a82b9fa3ec6d4b1b81c80fa80ec2a0c2", "short_code": "acq", "title": "TLS ARCH branches", "abstract": "A RIEGL VZ-400 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH) was used for all scans. In all, 1–6 branches (dependent on branch size) were arranged in a group, orientated so that they would not touch each other or the ground, and scanned simultaneously. Branches were secured in the end of metal tubing and placed in buckets of sand to minimise movement. Fiducial markers (akin to QR codes) were placed on the floor to allow identification of each branch in post-processing. The markers include a pattern of four retroreflective stickers (10 mm ∅) which were used to co-register scans. Between four and six scan positions (collectively known as a project), located around the branches, were used to capture each set of branches. At each position, a single scan was performed where the scanner rotation axis was approximately perpendicular to the ground plane. A 100 degrees × 80 degrees field of view was captured at an angular resolution of 0.02 degrees ; each scan took 2:45 min where ∼20M laser pulses were fired. \r\n\r\nThe VZ-400 beam has an exit diameter of 0.007 m and a beam divergence of 0.35 mrad; branches were at a maximum distance of 5 m from the scanner, and at this distance maximum cross-sectional beam diameter is ∼0.01 m. The scanning area needed to be large enough to allow easy movement around the branches and minimum distance between the scanner and target (for the RIEGL VZ-400, this is 0.5 m). It should be noted, owing to the restricted scanning field of view, large or featureless areas required additional ‘features’ (e.g. furniture in the scanning field of view) to assist with registration. Initially, scanning was performed outside but it became clear that branch tips would oscillate even with very low wind speeds; therefore, scanning was moved to an indoor space. Co-registration of scans in a project is a two-step process (coarse- and fine-registration) that produces a 4 × 4 roto-transformation matrix for each scan position. When applied, a scan is rotated into a common, arbitrary coordinate system (nominally referenced to the first scan position). \r\n\r\nCo-registration of a project was done using RiSCAN Pro (version 2.5.1; RIEGL Laser Measurement Systems GmbH). Coarse registration was achieved using the retro-reflective stickers on the corners of the fiducial markers. Fine registration was computed using RiSCAN Pro’s Multi-Station Adjustment (MSA) method (RIEGL Laser Measurement Systems GmbH, 2019). MSA fits a set of planes to a point cloud by iteratively voxelising the point cloud, with each iteration voxel edge length decreases until plane fit error is below a specified threshold (or no plane is fit if voxel edge of minimum number of point thresholds are exceeded). Here voxel edge length decreased from 1.024 to 0.064 m, minimum points were 10 and maximum plane error was 0.006 m; this resulted in 7,000– 20,000 planes per scan position. MSA then uses a least square solution to iteratively adjust scan position to minimise positional error between overlapping planes." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43637, "uuid": "3d37d6d2993b4c6ea667593e63537b83", "short_code": "proj", "title": "Understanding tree architecture, form and function in the tropics", "abstract": "This project was funded by NERC under grant_number: NE/P011780/1. \r\n\r\nThe basic shape and branching structure of a tree can be distinctive and characteristic, yet there exists no consistent dataset quantifying how tree form varies across species and how it is related to other functional traits of a tree. Understanding the variation in structure and form of trees is important in order to link tree physiology to tree performance, scale fluxes of water and carbon within and among trees, and understand constraints on tree growth and mortality. These topics hold great importance in the field of ecosystem science, especially in light of current and future changes to climate. This project used 3D terrestrial laser scanning technologies (TLS) in combination with recently developed theoretical frameworks to measure and compare tree architecture." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210067, 210068, 210061, 210062, 210063, 210064, 210065, 210066 ], "onlineresource_set": [ 88803 ] }, { "ob_id": 43952, "uuid": "9cbc9b1875474d65ad1e4697007e88b7", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 4-51 Product (CAL_LID_L2_VFM-Standard-V4-51)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objective of the mission was to supply a unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 vertical feature mask version 4-51 data product describes the horizontal and vertical distribution of the cloud and the aerosol layers observed by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). CAL_LID_L2_VFM-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM), Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The version of this product was changed from 4-20 to 4-21 to account for a change in the operating system of the CALIPSO production cluster.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-11-08T09:33:59", "updateFrequency": "", "dataLineage": "These data were obtained from the NASA Langley Research Center Atmospheric Science Data Center and mirrored by CEDA.", "removedDataReason": "", "keywords": "NASA, CALIPSO, CALIOP, Cloud, Aerosol", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-04-16T10:57:28", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43953, "dataPath": "/neodc/caliop/data/l2_vfm/v4-51", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7431238114943, "numberOfFiles": 161825, "fileFormat": "Data are HDF4 formatted" }, "timePeriod": { "ob_id": 12281, "startTime": "2006-06-12T00:00:00", "endTime": "2023-06-30T23:59:59" }, "resultQuality": { "ob_id": 2219, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 43964, "uuid": "fbd631896ffa4e56be292e2e61ed0370", "short_code": "cmppr", "title": "Composite Process for: CALIPSO Lidar Level 2 Vertical Feature Mask Version 4-51 Product (CAL_LID_L2_VFM-V4-51)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: CALIPSO Lidar Level 2 Vertical Feature Mask Version 4-51 Product (CAL_LID_L2_VFM-V4-51); \r\n2. Computation: Computation on Raw data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Satellite. The new version 4.51 (V4.51) of the CALIPSO lidar (CALIOP) Level 2 (L2) data products contain a number of improvements and additions over the previous version (V4.2) that was released in October 2018. A summary of the major changes addressed in this release are detailed below, as well as a section high-lighting known issues." }, "imageDetails": [ 123 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2559, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 31, "licenceURL": "https://eosweb.larc.nasa.gov/citing-asdc-data", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 8349, "uuid": "46cc8da20687aa95febda281bebb4526", "short_code": "proj", "title": "Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Mission", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles. This was to investigate direct and indirect aerosol forcings; to create better surface and atmospheric radiation flux datasets; and to analyse cloud-climate feedbacks in conjunction with other missions which take part in the A-Train, a group of polar-orbiting satellites passing through equator around 13:30 and 01:30. The satellite of this mission was launched in 28th April, 2006." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64153, 64154, 64155, 64159, 64163, 64167, 65048, 85626, 85629, 85639, 85658, 85668, 85999, 86000, 86001, 86002, 86003 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210075, 210071, 210076, 210072, 210077, 210073, 210074, 210078, 210079 ], "onlineresource_set": [ 88804, 88806, 88805, 88807, 88826 ] }, { "ob_id": 43954, "uuid": "06844d9ae4c14ed8a2d77b9c74e98c3d", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, pre-logging, August 2019", "abstract": "This dataset is comprised of raw data from the EC-funded project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. Plot FGC-01 is located in Ogooué-Ivindo, Gabon and owned and managed by commercial logging company Rougier Ivindo. \r\n\r\nTLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degrees for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "creationDate": "2025-03-13T11:56:29.560900", "lastUpdatedDate": "2025-03-13T11:24:32", "latestDataUpdateTime": "2025-07-18T02:00:25", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "terrestrial laser scanner, FODEX, Gabon,Ogooué-Ivindo, FGC-01, Biomass", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-09T14:10:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4743, "bboxName": "TLS FGC-01", "eastBoundLongitude": 12.25, "westBoundLongitude": 12.249, "southBoundLatitude": -0.144, "northBoundLatitude": -0.143 }, "verticalExtent": null, "result_field": { "ob_id": 43968, "dataPath": "/neodc/tls/data/raw/gabon/FGC-01/2019-08-14.001.riproject", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67258561027, "numberOfFiles": 2664, "fileFormat": "Point cloud data in RIEGL proprietary .rxp format, image data in .jpg format and matrix data in text file." }, "timePeriod": { "ob_id": 12285, "startTime": "2019-08-14T00:00:00", "endTime": "2019-08-15T00:00:00" }, "resultQuality": { "ob_id": 4679, "explanation": "Quality checks were performed by the TLS-ARCH projects team. \"For further information refer to Wilkes et al. (2017) in the documentation", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-03-13" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 43937, "uuid": "a552793e28e2467eb8e1ce6b613d6c16", "short_code": "acq", "title": "TLS-ARCH common coregistered matrix", "abstract": "TLS data was collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees and 0.02 degress for upright and tilted scans respectively. In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to trasnform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 214 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43969, "uuid": "f39d15602d404756988c225a188096f2", "short_code": "proj", "title": "Forest Degradation Experiment (FODEX)", "abstract": "It is know how to map tropical forest biomass using an array of satellite and aircraft sensors with reasonable accuracy (±15-40 %). However, we do not know how to map biomass change. Simply differencing existing biomass maps produces noisy and biased results, with confidence intervals unknowable using existing static field plots. Thus the potential for using plentiful free satellite data for biomass change mapping is being wasted. The FODEX project provides the first experimental arrays of biomass change plots. In total 52 large plots will be located in logging concessions in Gabon and Peru, where biomass will be assessed before and after logging, and during recovery. In addition to traditional field inventory, terrestrial laser scanning (TLS) data will give the precise 3D shape of thousands of trees before and after disturbance, allowing biomass change to be estimated without bias. The project’s unmanned aerial vehicle (UAV) will collect LiDAR data 4 times over each concession over 4 years, scaling up the field data to give thousands of hectares of biomass change data. In tandem, data from all potentially useful satellites (17+) flying over the field sites over the study period will be ordered and processed. These data will enable the development of new methods for mapping carbon stock changes, with known uncertainty, enabling upscaling across the Amazon basin and west/central Africa. For the first time we will have the methods to assess the balance of regrowth and anthropogenic disturbance across tropical forests, informing us about the status and resilience of the land surface carbon sink. As well as of scientific interest, these results are urgently needed for forest conservation: the Paris Agreement relies on paying countries to reduce losses and enhance gains in forest carbon stocks, but we do not currently have the tools to map forest carbon stock changes. Without accurate monitoring it is not possible to target resources nor assess success. FODEX addresses this problem.\r\n\r\nThis project was funded by EC H2020 program under grant_number: 757526" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210082, 210083, 210085, 210080, 210081, 210084, 210087, 210241, 210242, 210243 ], "onlineresource_set": [ 88809 ] }, { "ob_id": 43955, "uuid": "75a1511105fd49ddb591340bdb783fd7", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3 model output for the \"amip\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the \"AMIP\" (amip) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1 and r4i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.", "creationDate": "2025-04-09T11:05:40.536665", "lastUpdatedDate": "2025-04-09T11:05:40.536671", "latestDataUpdateTime": "2025-04-10T01:56:57", "updateFrequency": "asNeeded", "dataLineage": "Data were produced and verified by the EC-Earth-Consortium team scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3, amip, 3hr, 6hrLev, 6hrPlevPt, Amon, Eday, Emon, LImon, Lmon, day, fx", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-04-09T11:05:40.659228", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43956, "dataPath": "/badc/cmip6/data/CMIP6/CMIP/EC-Earth-Consortium/EC-Earth3/amip", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 982315440599, "numberOfFiles": 2625, 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Ozone Depleting Substances (ODSs) are specified by the WMO(2018) baseline scenario.\r\n\r\nSSP3-7.0 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP3 with high climate change mitigation and adaptation challenges, and climate forcing pathway RCP7.0 which leads to a radiative forcing of 7.0 Wm-2 by the year 2100.\r\n\r\nWMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.\r\n\r\nThe CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)\r\n- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. 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The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "creationDate": "2025-04-09T11:48:15.189530", "lastUpdatedDate": "2025-04-09T11:48:15.189537", "latestDataUpdateTime": "2020-11-11T00:39:28", "updateFrequency": "asNeeded", "dataLineage": "Data were produced and verified by University of Arizona - Department of Geosciences (UA) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "CMIP6, WCRP, climate change, UA, MCM-UA-1-0, 1pctCO2, Amon, Ofx, Omon, SImon, fx", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-04-09T11:48:15.283614", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 43959, "dataPath": "/badc/cmip6/data/CMIP6/CMIP/UA/MCM-UA-1-0/1pctCO2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7744280409, "numberOfFiles": 30, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 12283, "startTime": "0001-01-17T00:00:00", "endTime": "0500-12-17T00:00:00" }, "resultQuality": { "ob_id": 3341, "explanation": "The CMIP6 data are copied to CEDA from international distributors. 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It is generated with the coupled climate ensemble prediction system GloSea6. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe control-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. 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Based on a set of controlled, sub-seasonal, ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. \r\nFirst, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. \r\nSecond, to attribute specific extreme events to stratospheric variability. \r\nThird, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models, \r\nand fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. \r\nAlthough not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. \r\nThe output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of sub-seasonal forecasts." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 9045, 50415, 50417, 50418, 50419, 50426, 50427, 50429, 50431, 50445, 50475, 50481, 50496, 50498, 50549, 50577, 50579, 50582, 50587, 50588, 50590, 50597, 50605, 50609, 51210, 51211, 52755, 53111, 54228, 54350, 54366, 54378, 60438, 62560, 62561, 64078 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 40379, "uuid": "8fc98ddf822f464dbd8a9e89b2da063c", "short_code": "coll", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6 model at UKMO", "abstract": "The GloSea6 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the UK Met Office (UKMO). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nMacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014" } ], "responsiblepartyinfo_set": [ 210216, 210217, 210218, 210219, 210220, 210221, 210222, 210223 ], "onlineresource_set": [ 88822, 88823, 88824, 88825 ] }, { "ob_id": 43970, "uuid": "b7e3f31474da4563a3ad4edbf26dca14", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-01), Gabon, post-logging, February 2020", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. 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However, we do not know how to map biomass change. Simply differencing existing biomass maps produces noisy and biased results, with confidence intervals unknowable using existing static field plots. Thus the potential for using plentiful free satellite data for biomass change mapping is being wasted. The FODEX project provides the first experimental arrays of biomass change plots. In total 52 large plots will be located in logging concessions in Gabon and Peru, where biomass will be assessed before and after logging, and during recovery. In addition to traditional field inventory, terrestrial laser scanning (TLS) data will give the precise 3D shape of thousands of trees before and after disturbance, allowing biomass change to be estimated without bias. The project’s unmanned aerial vehicle (UAV) will collect LiDAR data 4 times over each concession over 4 years, scaling up the field data to give thousands of hectares of biomass change data. In tandem, data from all potentially useful satellites (17+) flying over the field sites over the study period will be ordered and processed. These data will enable the development of new methods for mapping carbon stock changes, with known uncertainty, enabling upscaling across the Amazon basin and west/central Africa. For the first time we will have the methods to assess the balance of regrowth and anthropogenic disturbance across tropical forests, informing us about the status and resilience of the land surface carbon sink. As well as of scientific interest, these results are urgently needed for forest conservation: the Paris Agreement relies on paying countries to reduce losses and enhance gains in forest carbon stocks, but we do not currently have the tools to map forest carbon stock changes. Without accurate monitoring it is not possible to target resources nor assess success. FODEX addresses this problem.\r\n\r\nThis project was funded by EC H2020 program under grant_number: 757526" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 210244, 210245, 210246, 210247, 210248, 210249, 210250, 210251, 210252, 210253 ], "onlineresource_set": [ 88829 ] }, { "ob_id": 43972, "uuid": "40b7bc2b97344de2955aea24a2703d4e", "title": "Forest Degradation Experiment (FODEX), Ogooué-Ivindo (FGC-02), Gabon, pre-logging, August 2019", "abstract": "This dataset is comprised of raw data from the EC-funded FODEX project to collect full waveform terrestrial laser scanner (TLS). Plots were scanned prior to and following logging at different intensities to quantify the impact of logging intensity on rate of recovery of carbon stocks. 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In tandem, data from all potentially useful satellites (17+) flying over the field sites over the study period will be ordered and processed. These data will enable the development of new methods for mapping carbon stock changes, with known uncertainty, enabling upscaling across the Amazon basin and west/central Africa. For the first time we will have the methods to assess the balance of regrowth and anthropogenic disturbance across tropical forests, informing us about the status and resilience of the land surface carbon sink. As well as of scientific interest, these results are urgently needed for forest conservation: the Paris Agreement relies on paying countries to reduce losses and enhance gains in forest carbon stocks, but we do not currently have the tools to map forest carbon stock changes. Without accurate monitoring it is not possible to target resources nor assess success. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. 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In tandem, data from all potentially useful satellites (17+) flying over the field sites over the study period will be ordered and processed. These data will enable the development of new methods for mapping carbon stock changes, with known uncertainty, enabling upscaling across the Amazon basin and west/central Africa. For the first time we will have the methods to assess the balance of regrowth and anthropogenic disturbance across tropical forests, informing us about the status and resilience of the land surface carbon sink. As well as of scientific interest, these results are urgently needed for forest conservation: the Paris Agreement relies on paying countries to reduce losses and enhance gains in forest carbon stocks, but we do not currently have the tools to map forest carbon stock changes. Without accurate monitoring it is not possible to target resources nor assess success. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 4-51 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. \r\n\r\nCAL_LID_L2_01kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 1 km Cloud Layer, Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.\r\n\r\nWithin this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products contain column descriptors associated with several layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.\r\n\r\nThe CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. 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The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles. This was to investigate direct and indirect aerosol forcings; to create better surface and atmospheric radiation flux datasets; and to analyse cloud-climate feedbacks in conjunction with other missions which take part in the A-Train, a group of polar-orbiting satellites passing through equator around 13:30 and 01:30. The satellite of this mission was launched in 28th April, 2006." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64153, 64154, 64159, 65010, 65011, 65012, 65013, 65014, 65015, 65016, 65017, 65018, 65019, 65020, 65021, 65022, 65023, 65025, 65028, 65029, 65037, 65039, 65040, 65041, 65042, 65043, 65048, 65049, 65051, 65086, 85619, 85620, 85621, 85622, 85623, 85624, 85625, 85626, 85627, 85628, 85629, 85630, 85631, 85632, 85633, 85634, 85635, 85636, 85637, 85638, 85639, 85640, 85641, 85642, 85643, 85644, 85645, 85646, 85647, 85648, 85649, 85650, 85651, 85652, 85653, 85654, 85655, 85656, 85657, 85658, 85659, 85660, 85661, 85662, 85663, 85664, 85665, 85666, 85667, 85668, 85669 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210381, 210382, 210386, 210380, 210383, 210384, 210385, 210379, 210387 ], "onlineresource_set": [ 88875, 88877, 88878 ] }, { "ob_id": 43998, "uuid": "fc735f9878ed43e293b85f85e40df24d", "title": "Machine Learning for Hourly Air Pollution Prediction in England (ML-HAPPE)", "abstract": "This dataset contains estimates of air pollution levels across England for every hour of the year 2018. It covers seven major air pollutants that can affect human health and the environment. The data cover major air pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each air pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km x 1 km). Data points correspond to the centre of these grid squares. The complete air pollution England dataset includes hourly estimates for the entire year 2018, covering all 365 days and 24 hours of each day. There is also training data used for the model from real-world ambient air pollution monitoring stations, which encompasses the temporal period of 2014-2018, alongside the models used to make the predictions.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors, including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThis dataset was created to provide access to detailed, high-resolution estimates of actual air pollution concentrations across England. Unlike simpler models or general air quality scenarios, this dataset offers hour-by-hour predictions of air pollution levels at a fine spatial scale (1 km x 1 km), delivering a realistic and actionable understanding of air quality patterns at a resolution not previously available. By providing detailed, hourly estimates based on real-world environmental conditions and emissions data, the dataset makes it possible to support evidence-based decision-making and address essential challenges in regions where direct pollution measurements may not be available.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. For more information about the data, see the README.md archived alongside this dataset.\r\n\r\nThis dataset provides hourly predictions of air pollution concentrations for England throughout the year 2018. These values are not direct measurements from monitoring stations but rather model-based estimates generated using a supervised machine-learning approach. The model was trained using real observations from the UK's national monitoring network, but it is capable of making predictions even in areas without any nearby monitoring stations. This means that the dataset offers complete spatial and temporal coverage, filling in gaps where no sensor data exists. This dataset focuses exclusively on England for the year 2018 and does not include data for other years or regions of the UK.", "creationDate": "2025-04-10T13:26:33.300311", "lastUpdatedDate": "2025-04-10T13:28:37", "latestDataUpdateTime": "2025-05-02T01:57:21", "updateFrequency": "notPlanned", "dataLineage": "This dataset was produced through a research initiative at the University of Exeter. It was created using a supervised machine learning model, a type of artificial intelligence that learns patterns from existing data and applies those patterns to predict unknown values. Historical data from ambient air pollution monitoring stations across England were used to train the machine learning model. Input data included meteorological factors (such as wind speed and temperature), traffic activity levels, land-use information, satellite-based measurements, and emissions data. Predictions were validated for accuracy and reliability, with uncertainty intervals (5th, 50th, and 95th percentiles) calculated to indicate confidence in the estimates.", "removedDataReason": "", "keywords": "Ambient Air Quality,England,Nitrogen Dioxide,Nitrogen Oxides,Ozone,Particulate Matter,Sulphur Dioxide,Machine Learning,AI", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-30T09:38:13", "doiPublishedTime": "2025-05-01T10:58:20.449893", "removedDataTime": null, "geographicExtent": { "ob_id": 4749, "bboxName": "", "eastBoundLongitude": 1.76, "westBoundLongitude": -5.72, "southBoundLatitude": 49.96, "northBoundLatitude": 55.81 }, "verticalExtent": null, "result_field": { "ob_id": 44162, "dataPath": "/badc/deposited2025/ML-HAPPE", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1287658564646, "numberOfFiles": 20158, "fileFormat": "NetCDF and JSON" }, "timePeriod": { "ob_id": 12299, "startTime": "2014-01-01T00:00:00", "endTime": "2018-12-31T00:00:00" }, "resultQuality": { "ob_id": 4713, "explanation": "The quality of this dataset was ensured through rigorous validation and uncertainty quantification practices. The data were generated using supervised machine learning methods, which involved comprehensive testing and validation against real-world measurements from official ambient air quality monitoring stations across England. Quality assessments included comparisons between predicted concentrations and actual measured values, statistical analyses of prediction errors, and evaluations of the reliability of the estimates provided. Predictions were produced alongside uncertainty intervals (expressed as the 5th, 50th, and 95th percentiles), enabling transparent communication about the confidence associated with each pollution estimate. All datasets were formatted according to established scientific data standards (NetCDF format), ensuring consistency, interoperability, and ease of use for stakeholders.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-04-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 44176, "uuid": "83b559ed100c433184498741e7e9df64", "short_code": "comp", "title": "Machine-Learning-Based Prediction of Air Pollution Estimates in England", "abstract": "The dataset was created using a supervised machine-learning pipeline. The pipeline generates air pollution concentration predictions across a 1 km^2^ grid over England." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43886, "uuid": "e6a317f0bc544a4e8a45884b82e6ccae", "short_code": "proj", "title": "Operationalising Ambient Air Pollution Estimation", "abstract": "This doctoral research focuses on developing and implementing machine-learning methodologies to estimate ambient air pollution, introducing scalable machine-learning approaches for estimating hourly pollution levels, aiming to enhance the accuracy and accessibility of air quality data for environmental analysis and policy-making." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 84201, 84202, 84203, 84204, 84205, 84206, 84207, 84208, 84209, 84210, 84211, 84212, 84213, 84214, 84215, 84216, 84217, 84218, 84219, 84220, 84221, 84222, 84223, 84224, 84225, 84226, 84227, 84228, 84229, 84230, 84231, 84232, 84233, 84234, 84235, 84236, 84237, 84238, 84239, 84240, 84241, 84242, 84243, 84244, 84245, 84246, 84247, 84248, 84249, 84250, 84251, 84252, 84253, 84254, 84255, 84256, 84257, 84258, 84259, 84260, 84261, 84262, 84263, 84264, 84265, 84266, 84267, 84268, 84269, 84270, 84271, 84272, 84273, 84274, 84275, 84276, 84277, 84278, 84279, 84280, 84281, 84282, 84283, 84284, 84285, 84286, 84287, 84288, 84289, 84290, 84291, 84292, 84293, 84294, 84295, 84296, 84297, 84298, 84299, 84300, 84301, 84302, 84303, 84304, 84305, 84306, 84307, 84308, 84309, 84310, 84311, 84312, 84313, 84314, 84315, 84316, 84317, 84318, 84319, 84320, 84321, 84322, 84323, 84324, 84325, 84326, 84327, 84328, 84329, 84330, 84331, 84332, 84333, 84334, 84335, 84336, 84337, 84338, 84339, 84340, 84341, 84342, 84343, 84344, 84345, 84346, 84347, 84348, 84349, 84350, 84351, 84352, 84353, 84354, 84355, 84356, 84357, 84358, 84359, 84360, 84361, 84362, 84363, 84364, 84365, 84366, 84367, 84368, 84369, 84370, 84371, 84372, 84373, 84374, 84375, 84376, 84377, 84378, 84379, 84380, 84381, 84382, 84383, 84384, 84385, 84386 ], "vocabularyKeywords": [], "identifier_set": [ 13369 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 211259, 210388, 210389, 210390, 210391, 210392, 210393, 210394 ], "onlineresource_set": [ 92877 ] }, { "ob_id": 44000, "uuid": "446b1380fbd54a5ab9eb5244b3d5c2ac", "title": "Benthic images collected by Autonomous Underwater Vehicle during expedition JC257, 100 km south from the northern border of the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024", "abstract": "A collection of 2276 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4130 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M094, the AUV was programmed to replicate 22 parallel 2 km long transect lines in a site located 100 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. Images within similar terrain feature (slope < 1.5°) were randomly subsampled. These images were colour corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The final image set was inspected for overlap, which was non-existent. The image set was subsequently annotated using the online platform BIIGLE to derive seabed community composition. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "creationDate": "2025-04-10T15:34:06.090377", "lastUpdatedDate": "2025-04-10T15:34:06", "latestDataUpdateTime": "2025-04-10T16:40:50", "updateFrequency": "notPlanned", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-10T16:27:44", "doiPublishedTime": "2025-04-10T16:27:44", "removedDataTime": null, "geographicExtent": { "ob_id": 4750, "bboxName": "", "eastBoundLongitude": -116.0878148304, "westBoundLongitude": -116.1024941919, "southBoundLatitude": 13.070510551, "northBoundLatitude": 13.0903598734 }, "verticalExtent": null, "result_field": { "ob_id": 43999, "dataPath": "/bodc/soc250827", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "JPG" }, "timePeriod": { "ob_id": 12303, "startTime": "2024-03-07T00:00:00", "endTime": "2024-03-07T23:59:59" }, "resultQuality": { "ob_id": 4714, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2025-04-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13297 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210398, 210399, 210397, 210396, 210395, 210401, 210402, 210403, 210400, 210405, 210406 ], "onlineresource_set": [] }, { "ob_id": 44002, "uuid": "56c26ec4b90e455788e4724d22fd5d92", "title": "PyLag particle tracking model of retrospective particles in the North Sea during two contrasting years (2014 and 2017)", "abstract": "This dataset uses the PyLag particle tracking model to simulate the ecological connectivity of benthic species in the northern North Sea during two contrasting years (2014 and 2017) to highlight seasonal to annual variability. The particles were released each day and run for 90 days. In the Retrospective Particle Tracks dataset a methodology of releasing an extensive set of particles over a wide area was used. This means the sets of particle tracks can be interrogated to understand connectivity between any two locations in the domain. This could be useful to understand if new human-made structures placed in any locations in the northern North Sea could potentially affect the ecological connectivity or different species with a maturity window up to 90 days. The particle tracks include location, time, age and water temperature. The data were generated under the Natural Environment Research Council (NERC) project CHASANS (Connectivity of Hard Substrate Assemblages in the North Sea) grant reference: NE/T010886/1.", "creationDate": "2025-04-11T08:38:06.369369", "lastUpdatedDate": "2025-04-11T08:38:06", "latestDataUpdateTime": "2025-04-13T01:56:38", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-09T15:11:00", "doiPublishedTime": "2025-04-09T15:11:00", "removedDataTime": null, "geographicExtent": { "ob_id": 4751, "bboxName": "", "eastBoundLongitude": 5.0, "westBoundLongitude": -8.0, "southBoundLatitude": 55.0, "northBoundLatitude": 62.0 }, "verticalExtent": null, "result_field": { "ob_id": 44001, "dataPath": "/bodc/pol250716", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15710031960546, "numberOfFiles": 732, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12306, "startTime": "2014-01-01T00:00:00", "endTime": "2017-12-31T23:59:59" }, "resultQuality": { "ob_id": 4715, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2025-04-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 85514, 85515, 85516, 85517, 85518, 85519, 85520, 85521, 85522, 85523, 85524, 85525, 85526, 85527 ], "vocabularyKeywords": [], "identifier_set": [ 13298 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210410, 210412, 210411, 210409, 210408, 210407, 210413, 210414, 210415, 210417, 210416 ], "onlineresource_set": [] }, { "ob_id": 44006, "uuid": "f1a3880206be41e5a5fe8b60c46b8ed8", "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected during RRS Discovery cruise DY152 with BioCam", "abstract": "The dataset contains BioCam visual seafloor mapping device data collected between 12th to 21st July 2022 in the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected by the University of Southampton and the National Oceanography Centre (NOC) on RRS Discovery cruise DY152, as part of the NERC Oceanids Marine Sensor Capital program (grant reference NE/P020887/1, BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables). These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR) Autonomous Underwater Vehicle (AUV). This includes colour corrected strobed images, cm-resolution bathymetry maps and texture maps. To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016).", "creationDate": "2025-04-11T10:34:28.430321", "lastUpdatedDate": "2025-04-11T10:34:28", "latestDataUpdateTime": "2025-04-13T01:56:39", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "Geoscientific information, Visual seafloor mapping, 3D reconstruction, Laser scanning, Environmental monitoring, Elevation, Oceans, Biota", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-11T10:05:42", "doiPublishedTime": "2025-04-11T10:05:42", "removedDataTime": null, "geographicExtent": { "ob_id": 4752, "bboxName": "", "eastBoundLongitude": -7.688074505, "westBoundLongitude": -9.30338839, "southBoundLatitude": 48.39864588, "northBoundLatitude": 50.4087821 }, "verticalExtent": null, "result_field": { "ob_id": 44005, "dataPath": "/bodc/smi250825/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 307259813509, "numberOfFiles": 76359, "fileFormat": ".jpg; .tiff; .xlsx; .csv" }, "timePeriod": { "ob_id": 12307, "startTime": "2022-07-12T00:00:00", "endTime": "2022-07-21T23:59:59" }, "resultQuality": { "ob_id": 4716, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2025-04-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13299 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210423, 210420, 210419, 210418, 210424, 210426, 210422, 210425, 210421, 210427, 210428, 210429 ], "onlineresource_set": [ 92840, 92841, 92842 ] }, { "ob_id": 44008, "uuid": "c3d8e244e20545c88f9d7cee9ec2212b", "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from two sites in the North Sea collected during the INSITE ATSEA shore-launched Autonomous Underwater Vehicle (AUV) campaign with BioCam", "abstract": "The dataset contains BioCam visual seafloor mapping device from data collected between 23rd September to 5th October 2022. These data were collected by the University of Southampton and the National Oceanography Centre (NOC) as part of the INSITE (Influence of man-made structures in the ecosystem) AT-SEA (Autonomous Techniques for anthropogenic Structure Ecological Assessment NE/T010649/1) project. Two shore-launched Autonomous Underwater Vehicles (AUVs) deployments were conducted in the North Sea, at the site of the decommissioned North West Hutton oil platform and Miller platform. These data include colour corrected strobed images, and cm-resolution bathymetry maps and texture maps. These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR). To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016).", "creationDate": "2025-04-11T10:37:55.297109", "lastUpdatedDate": "2025-04-11T10:37:55", "latestDataUpdateTime": "2025-04-13T01:56:39", "updateFrequency": "", "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataReason": "", "keywords": "Geoscientific information, Visual seafloor mapping, 3D reconstruction, Laser scanning, Environmental monitoring, Elevation, Oceans, Biota", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "final", "dataPublishedTime": "2025-04-11T10:05:42", "doiPublishedTime": "2025-04-11T10:05:42", "removedDataTime": null, "geographicExtent": { "ob_id": 4753, "bboxName": "", "eastBoundLongitude": 1.440746932, "westBoundLongitude": 1.263112866, "southBoundLatitude": 58.7227835, "northBoundLatitude": 61.12980331 }, "verticalExtent": null, "result_field": { "ob_id": 44007, "dataPath": "/bodc/smi250826/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 272442163667, "numberOfFiles": 60694, "fileFormat": ".jpg; .tiff; .xlsx; .csv" }, "timePeriod": { "ob_id": 12308, "startTime": "2022-09-23T00:00:00", "endTime": "2022-10-05T23:59:59" }, "resultQuality": { "ob_id": 4717, "explanation": "The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.", "passesTest": true, "resultTitle": "BODC Data Quality Statement", "date": "2025-04-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 13300 ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 210433, 210435, 210432, 210431, 210430, 210436, 210438, 210437, 210441, 210440, 210434, 210439 ], "onlineresource_set": [ 92843, 92844, 92845 ] }, { "ob_id": 44010, "uuid": "f334697aa6f24a11a29229c3fedf4746", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:16", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T15:57:21", "doiPublishedTime": "2025-09-15T15:16:02.542769", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44011, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-eas126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53066514769, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13547 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 210445, 210446, 210447, 210448, 210449, 210450, 210451, 210452 ], "onlineresource_set": [ 88882, 88883 ] }, { "ob_id": 44012, "uuid": "83a36308185b4fcb9c4198f5f69b03c1", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:17", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T15:36:36", "doiPublishedTime": "2025-09-15T15:16:28.266276", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44013, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-sas126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53081785643, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13548 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 210453, 210454, 210455, 210456, 210457, 210458, 210459, 210460 ], "onlineresource_set": [ 88884, 88885 ] }, { "ob_id": 44014, "uuid": "b34e5509dc594d4b84bcd9420d6fd1dd", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:12", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T16:00:42", "doiPublishedTime": "2025-09-15T15:15:43.145864", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44015, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-nae126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53075399625, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13546 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 210463, 210464, 210465, 210461, 210462, 210466, 210467, 210468 ], "onlineresource_set": [ 88887, 88886 ] }, { "ob_id": 44016, "uuid": "f01914a2763641619ac637eb27ad409d", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:18", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T15:58:47", "doiPublishedTime": "2025-09-15T15:15:22.499551", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44017, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53000609225, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13545 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 210469, 210470, 210471, 210474, 210472, 210473, 210475, 210476 ], "onlineresource_set": [ 88888, 88889 ] }, { "ob_id": 44018, "uuid": "2dc9d53fa44e41c1b25f06c3a1be2374", "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.", "creationDate": "2025-02-04T14:07:51.269985", "lastUpdatedDate": "2025-02-04T14:07:51", "latestDataUpdateTime": "2025-06-05T01:59:14", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-04-28T14:59:02", "doiPublishedTime": "2025-09-15T15:14:57.902689", "removedDataTime": null, "geographicExtent": { "ob_id": 4680, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44019, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53085406443, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12679, "startTime": "1850-01-01T00:00:00", "endTime": "1879-12-31T00:00:00" }, "resultQuality": { "ob_id": 4653, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43448, "uuid": "3bda2748bd714a239d4974648c015b97", "short_code": "comp", "title": "CNRM-ESM2-1", "abstract": "The CNRM-ESM2-1 climate model, released in 2017, includes the following components:\r\naerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1.\r\n\r\n The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 27599, 50073, 50415, 50417, 50418, 50419, 50424, 50426, 50427, 50428, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50552, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50610, 52750, 52755, 54088, 54328, 54329, 54340, 54810, 54811, 54813, 59430, 59431, 62368, 62736, 71572, 71574, 71632, 71633, 71659, 71666, 71677, 71681, 71683, 71687, 79857, 79858, 79861, 79862, 79863, 79864, 79865, 82138, 82139, 82144, 82146, 83006 ], "vocabularyKeywords": [], "identifier_set": [ 13544 ], "observationcollection_set": [ { "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).)" } ], "responsiblepartyinfo_set": [ 210477, 210478, 210479, 210480, 210481, 210482, 210483, 210484 ], "onlineresource_set": [ 88890, 88891 ] }, { "ob_id": 44022, "uuid": "6b1c3160b1df40728b6331dd46cd5905", "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.", "creationDate": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": "2025-06-05T01:59:13", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic 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/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T10:58:10", "doiPublishedTime": "2026-02-20T10:24:24.866505", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44023, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1538920041055, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of California Riverside at NCAR using the cheyenne supercomputer using the same native nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52746, 52750, 52755, 54454, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71666, 71677, 71681, 71683, 71687, 71691, 79856, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82144, 82146, 82151, 82152, 84622 ], "vocabularyKeywords": [], "identifier_set": [ 13735 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210493, 210494, 210495, 210496, 210497, 210498, 210499, 210500 ], "onlineresource_set": [ 95153, 88895, 88896, 88897 ] }, { "ob_id": 44024, "uuid": "59bdd4c5f9c44b2daa2517f9983ab306", "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.", "creationDate": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": "2025-06-05T01:59:11", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic 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/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T10:59:24", "doiPublishedTime": "2026-02-20T10:25:27.527045", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44025, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1314377828207, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of California Riverside at NCAR using the cheyenne supercomputer using the same native nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50550, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52746, 52750, 52755, 54435, 54454, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71666, 71677, 71681, 71683, 71687, 71691, 79856, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82144, 82146, 82151, 85672 ], "vocabularyKeywords": [], "identifier_set": [ 13736 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210501, 210502, 210503, 210504, 210505, 210506, 210507, 210508 ], "onlineresource_set": [ 95150, 88900, 88898, 88899 ] }, { "ob_id": 44026, "uuid": "1fb3a81b9e824d4d836fb8f25028eb4d", "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.", "creationDate": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": "2025-06-05T01:59:19", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic 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/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2025-06-03T12:53:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44027, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1539270153809, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 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This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50550, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52746, 52750, 52755, 54435, 54454, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71666, 71677, 71681, 71683, 71687, 71691, 79856, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82144, 82146, 82151, 84622 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210509, 210510, 210511, 210512, 210513, 210514, 210515, 210516 ], "onlineresource_set": [ 95152, 88901, 88902, 88903 ] }, { "ob_id": 44028, "uuid": "ead00e03df0546a7a4c720bfdd382780", "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.", "creationDate": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": "2025-06-05T01:59:10", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic 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/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T10:11:40", "doiPublishedTime": "2026-02-20T10:25:47.719587", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44029, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1539229577775, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52746, 52750, 52755, 54435, 54454, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71666, 71677, 71681, 71683, 71687, 71691, 79856, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82144, 82146, 82151, 84622 ], "vocabularyKeywords": [], "identifier_set": [ 13737 ], "observationcollection_set": [ { "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. 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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.", "creationDate": "2025-02-04T13:39:07.370800", "lastUpdatedDate": "2025-02-04T13:40:51", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2026-02-09T16:46:17", "doiPublishedTime": "2026-02-20T10:26:04.122919", "removedDataTime": null, "geographicExtent": { "ob_id": 4678, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44031, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1539256936722, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12043, "startTime": "2015-01-01T00:00:00", "endTime": "2079-12-31T00:00:00" }, "resultQuality": { "ob_id": 4651, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43461, "uuid": "14416e8347a64c31bb0b2fc744a21331", "short_code": "comp", "title": "CESM2", "abstract": "The CESM2 climate model, released in 2018, includes the following components:\r\naerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). \r\n\r\nFor CESM2-LE, the model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 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This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50415, 50417, 50418, 50419, 50420, 50421, 50422, 50423, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50554, 50555, 50557, 50564, 50566, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50610, 52746, 52750, 52755, 54454, 54829, 60438, 62525, 62736, 71572, 71574, 71632, 71633, 71666, 71677, 71681, 71683, 71687, 71691, 79856, 79858, 79861, 79862, 79864, 79865, 82132, 82138, 82139, 82142, 82144, 82151, 82152, 84622, 84696 ], "vocabularyKeywords": [], "identifier_set": [ 13738 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210525, 210526, 210527, 210528, 210529, 210530, 210531, 210532 ], "onlineresource_set": [ 95149, 88907, 88908, 88909 ] }, { "ob_id": 44033, "uuid": "f985321e45cc46a09397cd14dea9b005", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:18", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-01T14:20:02", "doiPublishedTime": "2025-09-15T15:11:10.378356", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44034, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/ssp370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1199776435293, "numberOfFiles": 1451, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43446, "uuid": "29ae1a98a55c44f6bf0716fda2db76fd", "short_code": "comp", "title": "MRI-ESM2.0", "abstract": "The MRI-ESM2.0 climate model, released in 2017, includes the following components:\r\naerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4.\r\n\r\nThe model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50577, 50578, 50579, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54242, 54243, 54244, 54265, 54268, 54299, 54300, 54301, 54302, 54321, 54402, 54411, 54454, 54624, 54627, 54628, 54629, 54633, 54716, 54810, 54811, 54813, 59482, 59933, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71636, 71638, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71794, 71802, 71854, 79856, 79858, 79861, 79862, 79863, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82146, 82147, 83007, 83940, 84192 ], "vocabularyKeywords": [], "identifier_set": [ 13536 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210543, 210544, 210545, 210546, 210547, 210548, 210549, 210551, 210550 ], "onlineresource_set": [ 88912, 88913 ] }, { "ob_id": 44035, "uuid": "81a2264b82364663b1cbe034376e53de", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:14", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-01T14:20:42", "doiPublishedTime": "2025-09-15T15:10:44.741609", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44036, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/ssp370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1199820945617, "numberOfFiles": 1451, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43446, "uuid": "29ae1a98a55c44f6bf0716fda2db76fd", "short_code": "comp", "title": "MRI-ESM2.0", "abstract": "The MRI-ESM2.0 climate model, released in 2017, includes the following components:\r\naerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4.\r\n\r\nThe model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50570, 50577, 50578, 50579, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50609, 50610, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54243, 54244, 54252, 54265, 54268, 54299, 54300, 54302, 54321, 54402, 54411, 54454, 54624, 54627, 54628, 54629, 54633, 54716, 54810, 54811, 54813, 59482, 59933, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71636, 71638, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71794, 71802, 71854, 79856, 79857, 79858, 79859, 79860, 79861, 79862, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82147, 82152, 83007 ], "vocabularyKeywords": [], "identifier_set": [ 13535 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210552, 210553, 210554, 210555, 210556, 210557, 210558, 210559, 210560 ], "onlineresource_set": [ 88914, 88915 ] }, { "ob_id": 44037, "uuid": "b9b13bc897334d8384690ed024ce1f53", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:11", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-01T14:18:56", "doiPublishedTime": "2025-09-15T15:10:20.215950", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44038, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/ssp370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1199762899779, "numberOfFiles": 1451, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43446, "uuid": "29ae1a98a55c44f6bf0716fda2db76fd", "short_code": "comp", "title": "MRI-ESM2.0", "abstract": "The MRI-ESM2.0 climate model, released in 2017, includes the following components:\r\naerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4.\r\n\r\nThe model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50577, 50578, 50579, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50610, 50611, 50613, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54242, 54243, 54244, 54252, 54265, 54268, 54299, 54300, 54301, 54321, 54402, 54454, 54624, 54627, 54628, 54629, 54633, 54810, 54811, 54813, 59482, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71636, 71638, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71794, 71802, 71854, 79856, 79857, 79858, 79860, 79861, 79862, 79863, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82146, 82147, 83007 ], "vocabularyKeywords": [], "identifier_set": [ 13534 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210561, 210562, 210563, 210564, 210565, 210566, 210567, 210568, 210569 ], "onlineresource_set": [ 88916, 88917 ] }, { "ob_id": 44039, "uuid": "0010683b21074799b1faa024b0574ddc", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:17", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-01T14:16:20", "doiPublishedTime": "2025-09-15T15:09:57.124533", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44040, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/ssp370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1199526366207, "numberOfFiles": 1451, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43446, "uuid": "29ae1a98a55c44f6bf0716fda2db76fd", "short_code": "comp", "title": "MRI-ESM2.0", "abstract": "The MRI-ESM2.0 climate model, released in 2017, includes the following components:\r\naerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4.\r\n\r\nThe model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50577, 50578, 50579, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54242, 54243, 54244, 54265, 54268, 54301, 54302, 54321, 54402, 54411, 54454, 54624, 54627, 54628, 54629, 54633, 54716, 54810, 54811, 54813, 59482, 59933, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71636, 71638, 71646, 71659, 71666, 71677, 71681, 71683, 71687, 71794, 71802, 71854, 79856, 79857, 79858, 79859, 79860, 79861, 79862, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82147, 82152, 83007 ], "vocabularyKeywords": [], "identifier_set": [ 13533 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210573, 210574, 210575, 210576, 210577, 210570, 210571, 210572, 210578 ], "onlineresource_set": [ 88918, 88919 ] }, { "ob_id": 44041, "uuid": "4e48c5b343794bdf830f394d5a923ba6", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:13", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50577, 50578, 50579, 50580, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54242, 54243, 54244, 54252, 54265, 54268, 54299, 54300, 54301, 54302, 54321, 54340, 54402, 54411, 54454, 54624, 54627, 54628, 54633, 54716, 54810, 54811, 54813, 59482, 59933, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71636, 71638, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71854, 79856, 79858, 79859, 79860, 79861, 79862, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82147, 82152, 82838, 83007, 83940 ], "vocabularyKeywords": [], "identifier_set": [ 13532 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210579, 210580, 210581, 210582, 210583, 210584, 210585, 210586, 210587 ], "onlineresource_set": [ 88920, 88921 ] }, { "ob_id": 44044, "uuid": "c585bbc0e6cb438db3b389dea5735be9", "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.", "creationDate": "2025-02-04T13:56:51.890819", "lastUpdatedDate": "2025-02-04T13:57:25", "latestDataUpdateTime": "2025-06-05T01:59:16", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. The data were post-processed after CMORization to follow CMIP6Plus", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-01T14:18:02", "doiPublishedTime": "2025-09-15T15:11:34.162644", "removedDataTime": null, "geographicExtent": { "ob_id": 4679, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44043, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/ssp370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1199804547755, "numberOfFiles": 1451, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12045, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4652, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43446, "uuid": "29ae1a98a55c44f6bf0716fda2db76fd", "short_code": "comp", "title": "MRI-ESM2.0", "abstract": "The MRI-ESM2.0 climate model, released in 2017, includes the following components:\r\naerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4.\r\n\r\nThe model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 9045, 11046, 19724, 27828, 27829, 27830, 27831, 50415, 50417, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50551, 50552, 50553, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50577, 50578, 50579, 50582, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50606, 50607, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 50618, 50620, 52746, 52750, 52755, 54215, 54242, 54243, 54244, 54252, 54265, 54268, 54299, 54300, 54301, 54302, 54321, 54402, 54454, 54624, 54627, 54628, 54629, 54633, 54716, 54810, 54811, 54813, 59482, 59933, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71636, 71638, 71646, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71802, 71854, 79856, 79858, 79859, 79861, 79862, 79863, 79864, 79865, 82134, 82137, 82138, 82139, 82140, 82142, 82143, 82144, 82147, 82838, 83007, 83940 ], "vocabularyKeywords": [], "identifier_set": [ 13537 ], "observationcollection_set": [ { "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)" } ], "responsiblepartyinfo_set": [ 210590, 210591, 210592, 210593, 210594, 210588, 210589, 210595, 210596 ], "onlineresource_set": [ 88922, 88923 ] }, { "ob_id": 44047, "uuid": "34602f5130b349e3bb8cadeb34ce505b", "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.", "creationDate": "2025-02-04T14:28:53.280892", "lastUpdatedDate": "2025-02-04T14:28:53", "latestDataUpdateTime": "2025-06-05T01:59:12", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.\r\nData were prepared by the project team before archival at CEDA.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-14T14:59:34", "doiPublishedTime": "2025-09-15T15:17:51", "removedDataTime": null, "geographicExtent": { "ob_id": 4681, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44048, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CCCma/CanESM5-1/ssp370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378376125390, "numberOfFiles": 32241, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12047, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4654, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43450, "uuid": "e663d3500a2a402a88e8a73947aad1f5", "short_code": "comp", "title": "CanESM5-1", "abstract": "The CanESM5.1 climate model, released in 2022, includes the following components:\r\naerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. \r\n\r\nFor CMIP6, the model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of Toronto on the Niagara computer of SciNet using the same nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54299, 54302, 54454, 54628, 54633, 54692, 54829, 54888, 59480, 59481, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71636, 71638, 71646, 71666, 71677, 71681, 71683, 71687, 71794, 79856, 79857, 79858, 79859, 79860, 79861, 79862, 79863, 79864, 79865 ], "vocabularyKeywords": [], "identifier_set": [ 13550 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 211567, 210610, 210611, 210608, 210614, 210609, 210612, 210613, 210615, 210616, 210617 ], "onlineresource_set": [ 92714, 92715, 92716 ] }, { "ob_id": 44049, "uuid": "32d7df1eaedc49f3ac91758332b95245", "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.", "creationDate": "2025-02-04T14:28:53.280892", "lastUpdatedDate": "2025-02-04T14:28:53", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-07-30T09:16:08", "doiPublishedTime": "2025-09-15T15:18:34", "removedDataTime": null, "geographicExtent": { "ob_id": 4681, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44050, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CCCma/CanESM5-1/ssp370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378658878606, "numberOfFiles": 32241, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12047, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4654, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43450, "uuid": "e663d3500a2a402a88e8a73947aad1f5", "short_code": "comp", "title": "CanESM5-1", "abstract": "The CanESM5.1 climate model, released in 2022, includes the following components:\r\naerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. \r\n\r\nFor CMIP6, the model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of Toronto on the Niagara computer of SciNet using the same nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54299, 54302, 54454, 54633, 54692, 54829, 54888, 59480, 59481, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71636, 71638, 71646, 71666, 71677, 71681, 71683, 71687, 71794, 79856, 79857, 79858, 79860, 79861, 79862, 79863, 79864, 79865, 82146 ], "vocabularyKeywords": [], "identifier_set": [ 13552 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 211568, 210618, 210619, 210620, 210621, 210622, 210623, 210624, 210625, 210626, 210627 ], "onlineresource_set": [ 92717, 92718, 92719 ] }, { "ob_id": 44051, "uuid": "248c23e9ffe74dbeadffb38a21269eb0", "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.", "creationDate": "2025-02-04T14:28:53.280892", "lastUpdatedDate": "2025-02-04T14:28:53", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-09-15T10:46:09", "doiPublishedTime": "2025-09-15T15:18:55", "removedDataTime": null, "geographicExtent": { "ob_id": 4681, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44052, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CCCma/CanESM5-1/ssp370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378651544168, "numberOfFiles": 32241, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12047, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4654, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43450, "uuid": "e663d3500a2a402a88e8a73947aad1f5", "short_code": "comp", "title": "CanESM5-1", "abstract": "The CanESM5.1 climate model, released in 2022, includes the following components:\r\naerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. \r\n\r\nFor CMIP6, the model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. For RAMIP, the model was run by the University of Toronto on the Niagara computer of SciNet using the same nominal resolutions." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54299, 54302, 54454, 54692, 54829, 59480, 59481, 59482, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71636, 71638, 71646, 71666, 71677, 71681, 71683, 71687, 71794, 79856, 79857, 79858, 79860, 79861, 79862, 79863, 79864, 79865, 82146 ], "vocabularyKeywords": [], "identifier_set": [ 13553 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 211569, 210628, 210629, 210630, 210631, 210632, 210633, 210634, 210635, 210636, 210637 ], "onlineresource_set": [ 92720, 92721, 92722 ] }, { "ob_id": 44053, "uuid": "da6a894ffa4a42f49426c8af5c75f169", "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.", "creationDate": "2025-02-04T14:28:53.280892", "lastUpdatedDate": "2025-02-04T14:28:53", "latestDataUpdateTime": "2025-06-05T01:59:10", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T08:55:10", "doiPublishedTime": "2025-09-15T15:19:17", "removedDataTime": null, "geographicExtent": { "ob_id": 4681, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44054, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CCCma/CanESM5-1/ssp370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378661185011, "numberOfFiles": 32241, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12047, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4654, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43450, "uuid": "e663d3500a2a402a88e8a73947aad1f5", "short_code": "comp", "title": "CanESM5-1", "abstract": "The CanESM5.1 climate model, released in 2022, includes the following components:\r\naerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. \r\n\r\nFor CMIP6, the model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 211565, 210638, 210639, 210640, 210641, 210642, 210643, 210644, 210645, 210646, 210647 ], "onlineresource_set": [ 92723, 92724, 92725 ] }, { "ob_id": 44055, "uuid": "9e50db2747e842c585706a6004526079", "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.", "creationDate": "2025-02-04T14:28:53.280892", "lastUpdatedDate": "2025-02-04T14:28:53", "latestDataUpdateTime": "2025-06-05T01:59:10", "updateFrequency": "notPlanned", "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2025-05-15T08:55:40", "doiPublishedTime": "2025-09-15T15:19:37", "removedDataTime": null, "geographicExtent": { "ob_id": 4681, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44056, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CCCma/CanESM5-1/ssp370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 378660409167, "numberOfFiles": 32241, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12047, "startTime": "2015-01-01T00:00:00", "endTime": "2051-12-31T00:00:00" }, "resultQuality": { "ob_id": 4654, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43450, "uuid": "e663d3500a2a402a88e8a73947aad1f5", "short_code": "comp", "title": "CanESM5-1", "abstract": "The CanESM5.1 climate model, released in 2022, includes the following components:\r\naerosol: interactive, atmos: CanAM5.1 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa), atmosChem: specified oxidants for aerosols, land: CLASS3.6/CTEM1.2, landIce: specified ice sheets, ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m), ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry, seaIce: LIM2. \r\n\r\nFor CMIP6, the model was run by the Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada (CCCma) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, landIce: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 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Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 27828, 27829, 50415, 50417, 50418, 50419, 50420, 50424, 50425, 50426, 50427, 50437, 50445, 50464, 50468, 50475, 50481, 50496, 50498, 50509, 50542, 50543, 50552, 50554, 50555, 50557, 50564, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50601, 50603, 50608, 50609, 50610, 50611, 50613, 50614, 50615, 50616, 51206, 52746, 52750, 52755, 54215, 54242, 54252, 54265, 54268, 54299, 54302, 54454, 54692, 54829, 54888, 59480, 59481, 59482, 60438, 62525, 62736, 71572, 71574, 71615, 71632, 71633, 71636, 71638, 71646, 71666, 71677, 71681, 71683, 71687, 71794, 79856, 79857, 79858, 79859, 79860, 79861, 79862, 79864, 79865, 82152 ], "vocabularyKeywords": [], "identifier_set": [ 13555 ], "observationcollection_set": [ { "ob_id": 44045, "uuid": "a33a7cc2d0a84e27a78b24d70fe257e4", "short_code": "coll", "title": "CanESM5-1 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5-1. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCanESM5-1 is the Canadian Earth System Model version 5.1." } ], "responsiblepartyinfo_set": [ 211564, 210648, 210649, 210650, 210651, 210652, 210653, 210654, 210655, 210656, 210657 ], "onlineresource_set": [ 92726, 92727, 92728 ] }, { "ob_id": 44059, "uuid": "63a707305efd469992b6487f8081dbd3", "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.", "creationDate": "2025-02-04T14:44:43.282376", "lastUpdatedDate": "2025-02-04T14:44:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient 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. \r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nData 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\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4682, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44060, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NASA-GISS/GISS-E2-1-G/ssp370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 369633601668, "numberOfFiles": 828, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12049, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4655, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50551, 50552, 50553, 50554, 50555, 50557, 50559, 50561, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50614, 50615, 50616, 52755, 54215, 54242, 54252, 54265, 54268, 54302, 54340, 54829, 60438, 62736, 71572, 71574, 71615, 71632, 71633, 71659, 71666, 71677, 71681, 71687, 71802, 71820, 71825, 71854, 79857, 79858, 79861, 79862, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82146, 82148, 82150, 82151, 82152, 83905 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210669, 210670, 210671, 210672, 210673, 210674, 210675, 210676, 210677, 210678 ], "onlineresource_set": [ 92732, 92733, 92734 ] }, { "ob_id": 44061, "uuid": "4342e8eca7a14cb289e5d7edef35cd73", "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.", "creationDate": "2025-02-04T14:44:43.282376", "lastUpdatedDate": "2025-02-04T14:44:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient 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. \r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nData 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\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4682, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44062, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NASA-GISS/GISS-E2-1-G/ssp370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 334503044720, "numberOfFiles": 910, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12049, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4655, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50551, 50552, 50553, 50554, 50555, 50557, 50559, 50561, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50614, 50615, 50616, 52755, 54215, 54252, 54265, 54268, 54302, 54340, 54829, 60438, 62736, 71572, 71574, 71615, 71632, 71633, 71648, 71659, 71666, 71677, 71681, 71683, 71687, 71732, 71802, 71820, 71825, 79857, 79858, 79861, 79862, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82146, 82147, 82148, 82150, 82151, 82152, 84454, 84455 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 210683, 210684, 210685, 210679, 210680, 210681, 210682, 210686, 210687, 210688 ], "onlineresource_set": [ 92735, 92736, 92737 ] }, { "ob_id": 44063, "uuid": "b2986f80b2cf4d6e9da987710a086e49", "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.", "creationDate": "2025-02-04T14:44:43.282376", "lastUpdatedDate": "2025-02-04T14:44:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient 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. \r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nData 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\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4682, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44064, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NASA-GISS/GISS-E2-1-G/ssp370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 505921762096, "numberOfFiles": 908, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12049, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4655, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. 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Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 50418, 50419, 50420, 50422, 50424, 50425, 50426, 50427, 50428, 50437, 50445, 50468, 50475, 50481, 50496, 50498, 50551, 50552, 50553, 50554, 50555, 50557, 50559, 50561, 50566, 50568, 50569, 50570, 50578, 50579, 50580, 50586, 50589, 50591, 50596, 50597, 50598, 50599, 50600, 50603, 50608, 50609, 50610, 50614, 50615, 50616, 52755, 54215, 54242, 54252, 54265, 54268, 54300, 54302, 54340, 54829, 60438, 62736, 71572, 71574, 71615, 71632, 71633, 71646, 71648, 71659, 71666, 71677, 71681, 71687, 71732, 71802, 71820, 71825, 79857, 79858, 79861, 79862, 79864, 79865, 82132, 82133, 82134, 82135, 82136, 82137, 82138, 82139, 82140, 82141, 82142, 82143, 82144, 82146, 82147, 82148, 82150, 82151, 82152, 83905, 84454, 84455 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "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. 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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.", "creationDate": "2025-02-04T14:44:43.282376", "lastUpdatedDate": "2025-02-04T14:44:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient 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. \r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nData 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\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4682, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44066, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NASA-GISS/GISS-E2-1-G/ssp370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 334503044720, "numberOfFiles": 910, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12049, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4655, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 31/12/2070 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years." } ], "responsiblepartyinfo_set": [ 210699, 210700, 210701, 210702, 210703, 210704, 210705, 210706, 210707, 210708 ], "onlineresource_set": [ 92741, 92742, 92743 ] }, { "ob_id": 44067, "uuid": "206df10c38a64380a837fa04af8879f9", "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.", "creationDate": "2025-02-04T14:44:43.282376", "lastUpdatedDate": "2025-02-04T14:44:57", "latestDataUpdateTime": null, "updateFrequency": "notPlanned", "dataLineage": "The coupled transient simulations are initialised from the CMIP6 historical experiment. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/ \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataReason": "", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "pending", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 4682, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 44068, "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NASA-GISS/GISS-E2-1-G/ssp370-sas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 333581410040, "numberOfFiles": 870, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 12049, "startTime": "2015-01-01T00:00:00", "endTime": "2070-12-31T00:00:00" }, "resultQuality": { "ob_id": 4655, "explanation": "Quality control checks (CEDA-CC and CF compliance) were performed by the Centre for Environmental Data Analysis (CEDA) to ensure that the data meets the RAMIP and CMIP6Plus metadata requirements.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2025-02-04" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 43452, "uuid": "7931a6294a684b7083e4ffb807532b9c", "short_code": "comp", "title": "GISS-E2-1-G", "abstract": "The GISS-E2.1G climate model, released in 2019, includes the following components:\r\naerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p>1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI.\r\n\r\nThe model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km." }, "procedureCompositeProcess": null, "imageDetails": [ 230 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2519, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licence": { "ob_id": 21, "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 43444, "uuid": "4680fd74cf2244ba8476ed2617e3b41f", "short_code": "proj", "title": "The Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. 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