Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=1600
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=1700", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=1500", "results": [ { "ob_id": 10847, "uuid": "62eff59ecc759f7c1b2eaf22a8a96b51", "title": "Fire Radiative Power from MSG SEVIRI data", "abstract": "This dataset contains Fire Radiative Power (FRP) data over Africa from Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) data. Fires are detected by applying Roberts and Wooster's (2008) detection algorithm to SEVIRI data. FRP is estimated using the Middle InfraRed (MIR) radiance method (Wooster et al., 2003). The dataset was produced by Gareth Roberts and Martin Wooster (National Centre for Earth Observation (NCEO), Kings College London).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T10:31:58", "updateFrequency": "notPlanned", "dataLineage": "Data provided to NEODC by Gareth Thomas, King's College London, 2010", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-02-19T16:11:20", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 491, "bboxName": "", "eastBoundLongitude": 50.5, "westBoundLongitude": -19.5, "southBoundLatitude": -35.5, "northBoundLatitude": 36.5 }, "verticalExtent": null, "result_field": { "ob_id": 10848, "dataPath": "/neodc/seviri_frp/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2883155585, "numberOfFiles": 363, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 6987, "startTime": "2004-02-01T00:00:00", "endTime": "2005-01-31T23:59:59" }, "resultQuality": { "ob_id": 2821, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-31" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 10851, "uuid": "524ca455d1324102b7dc01a6ef8e2474", "short_code": "cmppr", "title": "Composite Process for: Fire Radiative Power from MSG SEVIRI data", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Fire Radiative Power from MSG SEVIRI data; \n2. Computation: KCL data processing deployed on KCL computer; \n" }, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 5001, "uuid": "faebf6fc6c9d654321ce2f4110f8bd8d", "short_code": "proj", "title": "NCEO Theme 2: Carbon Cycle", "abstract": "This Theme in the National Centre for Earth Observation aims to understand the feedbacks between physical and biological processes involving the carbon cycle, in order to predict changes in carbon fluxes at the Earth's surface.\r\n\r\nIt's priorities are to:\r\n- Combine satellite measurements of the Earth's surface and atmosphere with sophisticated models of the land and ocean that mimic life in these ecosystems\r\n- Vastly increase knowledge of the role of fire in the carbon cycle\r\n- Accurately account for the carbon balance in the tropics to provide strong support for the negotiations on the post-Kyoto Protocol, particularly regarding deforestation\r\n- Provide complete tracking of carbon and water through land ecosystems into the atmosphere\r\n- Deliver a better quantification of carbon sources and sinks in the oceans\r\n- Understand shelf seas (the shallow seas surrounding the continents) which are rich in life and so draw down much carbon dioxide from the atmosphere. Other CO2 'hot spots' include the high latitudes: the Arctic and the Antarctic. Earth observation satellites can help establish the importance of these areas.\r\n- Help build a high-resolution global, regional and UK carbon-monitoring system." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 1635, 1636, 9709, 9710, 9711, 9712 ], "vocabularyKeywords": [], "identifier_set": [ 7207 ], "observationcollection_set": [ { "ob_id": 10846, "uuid": "9192420b6b74965d76cd69ce9222046d", "short_code": "coll", "title": "SEVIRI (Spinning Enhanced Visible and InfraRed Imager) Fire Radiative Power (FRP) data from the Meteosat Second Generation (MSG) Satellite", "abstract": "The Fire Radiative Power (FRP) is a measure of the rate of radiant heat output from a fire. It has been demonstrated in small-scale experimental fires that the FRP of a fire is related to the rate at which fuel is being consumed (Wooster et al., 2005) and smoke emissions released (Freeborn et al., 2008). This is a direct result of the combustion process, whereby carbon-based fuel is oxidised to CO2 (and other compounds) with the release of a certain \"heat yield\". Therefore, measuring this FRP and integrating it over the lifetime of the fire provides an estimate of the total Fire Radiative Energy (FRE), which for wildfires should be approximately proportional to the total mass of fuel biomass consumed.\r\n\r\nThis dataset contains Fire Radiative Power (FRP) data over Africa from Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) data. Fires are detected by applying Roberts and Wooster's (2008) detection algorithm to SEVIRI data. FRP is estimated using the Middle InfraRed (MIR) radiance method (Wooster et al., 2003). The dataset was produced by Gareth Roberts and Martin Wooster (National Centre for Earth Observation (NCEO), Kings College London).\r\n\r\nThe original SEVIRI FRP (in units of MegaWatts; MW) data are produced at the native spatial resolution of 3 km (at the Meteosat sub-satellite point, decreasing away from this) and a temporal resolution of 15 minutes. See the Section on SEVIRI LSA SAF FRP Product in the SEVIRI FRP data description document for details of how to access these data.\r\n\r\nThe gridded product provided here are spatially degraded to a 1deg x 1deg grid-cell resolution, but keep the 15 minute temporal resolution. The gridded data are netCDF format files, each file containing 4 parameters. Each of the parameters comprise of an FRP dataset consisting of 71 columns, 73 rows and 96 frames, covering the African continent only (not Europe or South America) on a daily basis. The data cover a 12 month time period between February (2004) and January (2005)…which is the first full year of SEVIRI post-commissioning phase data.\r\n\r\nThe spatial coverage of these gridded data are: \r\nUpper left Lat = +36.5° \r\nUpper Left Lon = -19.5°\r\nBottom Right Lat = -35.5°\r\nBottom Right Lon = +50.5°\r\nParameters:\r\n\r\nTotal_fire_radiative_power\r\nTotal Fire Radiative Power (FRP) in grid cell\r\nNumber_of_fire_pixels\r\nAdjusted_total_fire_radiative_power\r\nMean_fire_radiative_power\r\n\r\nThe naming convention for the gridded files is: SEVIRI_FRP_[year]-[month]-[day].nc for example SEVIRI_FRP_2004-02-16.nc corresponds to data from 16th February 2004. Each netCDF file contains 96 frames (15 minute frequency) between 00:12 – 23:57. These acquisition times correspond to the end of the SEVIRI image scan where each scan takes ~12minutes to complete. The times are in UTC." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 39035, 39029, 39032, 39033, 39034, 39036, 39030, 39031, 108229 ], "onlineresource_set": [] }, { "ob_id": 10853, "uuid": "ce10a02f66a08a366a5d1cc59482e10b", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Harwood Forest, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Harwood Forest, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-20T11:50:25", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:23:28", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 534, "bboxName": "Harwood NCAVEO Test Area", "eastBoundLongitude": -1.912631, "westBoundLongitude": -2.119657, "southBoundLatitude": 55.190791, "northBoundLatitude": 55.30366 }, "verticalExtent": null, "result_field": { "ob_id": 10854, "dataPath": "/neodc/ncaveo_lcm2000/data/raster/lcmharwood/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 85517, "numberOfFiles": 9, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3010, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2822, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10855, "uuid": "e3b03479597540959f57e0fb8f79f5fd", "short_code": "comp", "title": "CEH LCM 2000 25 meter derived roster format data processing deployed on Harwood Forest, UK", "abstract": "This computation involved: CEH LCM 2000 25 meter derived roster format data processing deployed on Harwood Forest, UK. Land Cover Map is a database of geographical information derived from satellite imagery. It was produced by a semi-automated classification of data from the satellite's Thematic Mapper sensor. Scenes are divided into parcels that are then characterised by a list of attributes attached to them. Those attributes cover such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene.\n\nLand Cover Map 2000 (LCM2000) is provided in several different Product Versions including the Vector Core database and the Raster dataset, derived from the Core Vector database. In the Vector Core dataset, data is provided as polygons or land parcels, and each parcel has a list of attributes attached to it. The standard level of detail is LEVEL 2, which provides 26 target/subclasses. The derived Raster dataset provides data as pixels. There are two resolutions, 25 metres, and 1 kilometre. \n\nLand Cover Map is produced by the Centre for Ecology and Hydrology (CEH), the UK's Centre of Excellence for research in the land and freshwater environmental sciences. It's parent organisation is the UK Natural Environment Research Council (NERC). Harewood Forest, near the Chilbolton Facility for Atmospheric and radio research, covers 670 hectares of mainly ancient semi-natural woodland and was recorded as a Countryside Heritage Area in June 1989. This site was used during the NCAVEO field experiment in June 2006." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7212 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39049, 39054, 39055, 39051, 39052, 39053, 39048, 39050 ], "onlineresource_set": [] }, { "ob_id": 10856, "uuid": "9f4d2de72f7b7b1cf7c9b4588ee473fb", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Harwood Forest, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Harwood Forest, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-03-01T14:03:03", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:23:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 534, "bboxName": "Harwood NCAVEO Test Area", "eastBoundLongitude": -1.912631, "westBoundLongitude": -2.119657, "southBoundLatitude": 55.190791, "northBoundLatitude": 55.30366 }, "verticalExtent": null, "result_field": { "ob_id": 10857, "dataPath": "/neodc/ncaveo_lcm2000/data/vector/lcmharwood/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1830582, "numberOfFiles": 21, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3011, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2823, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10858, "uuid": "add22b68aef2450c94d7eb810de3a80c", "short_code": "comp", "title": "CEH LCM 2000 Level 2 Vector format data processing deployed on Harwood Forest, UK", "abstract": "This computation involved: CEH LCM 2000 Level 2 Vector format data processing deployed on Harwood Forest, UK. Land Cover Map is a database of geographical information derived from satellite imagery. It was produced by a semi-automated classification of data from the satellite's Thematic Mapper sensor. Scenes are divided into parcels that are then characterised by a list of attributes attached to them. Those attributes cover such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene.\n\nLand Cover Map 2000 (LCM2000) is provided in several different Product Versions including the Vector Core database and the Raster dataset, derived from the Core Vector database. In the Vector Core dataset, data is provided as polygons or land parcels, and each parcel has a list of attributes attached to it. \nThe standard level of detail is LEVEL 2, which provides 26 target/subclasses. The derived Raster dataset provides data as pixels. There are two resolutions, 25 metres, and 1 kilometre. \n\nLand Cover Map is produced by the Centre for Ecology and Hydrology (CEH), the UK's Centre of Excellence for research in the land and freshwater environmental sciences. It's parent organisation is the UK Natural Environment Research Council (NERC). Harewood Forest, near the Chilbolton Facility for Atmospheric and radio research, covers 670 hectares of mainly ancient semi-natural woodland and was recorded as a Countryside Heritage Area in June 1989. This site was used during the NCAVEO field experiment in June 2006." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7215 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39060, 39065, 39066, 39059, 39062, 39063, 39064, 39061 ], "onlineresource_set": [] }, { "ob_id": 10859, "uuid": "13f0187f817470b20bcd90cbe9a58e63", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Chilbolton, Hampshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Chilbolton, Hampshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-20T11:55:51", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:22:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 533, "bboxName": "Chilbolton NCAVEO Test Area", "eastBoundLongitude": -1.346328, "westBoundLongitude": -1.516521, "southBoundLatitude": 51.100967, "northBoundLatitude": 51.201497 }, "verticalExtent": null, "result_field": { "ob_id": 10860, "dataPath": "/neodc/ncaveo_lcm2000/data/raster/lcmchilbolton/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88464, "numberOfFiles": 9, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3012, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2824, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10861, "uuid": "944a15f3b34441dd941655afa160d3a1", "short_code": "comp", "title": "CEH LCM 2000 25 meter derived roster format data processing deployed on unknown computer", "abstract": "This computation involved: CEH LCM 2000 25 meter derived roster format data processing." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7218 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39071, 39076, 39070, 39073, 39074, 39075, 39077, 39072 ], "onlineresource_set": [] }, { "ob_id": 10862, "uuid": "16a7a4410312b8859a5224a51d25aa39", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Chilbolton, Hampshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Chilbolton, Hampshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-03-25T09:29:38", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:22:45", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 533, "bboxName": "Chilbolton NCAVEO Test Area", "eastBoundLongitude": -1.346328, "westBoundLongitude": -1.516521, "southBoundLatitude": 51.100967, "northBoundLatitude": 51.201497 }, "verticalExtent": null, "result_field": { "ob_id": 10863, "dataPath": "/neodc/ncaveo_lcm2000/data/vector/lcmchilbolton/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1675206, "numberOfFiles": 6, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3013, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2825, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10864, "uuid": "87fd5f23dbeb4f0db54bbb2303db2d82", "short_code": "comp", "title": "CEH LCM 2000 Level 2 Vector format data processing deployed on unknown computer", "abstract": "This computation involved: CEH LCM 2000 Level 2 Vector format data processing." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7221 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39080, 39085, 39079, 39083, 39084, 39086, 39082, 39081 ], "onlineresource_set": [] }, { "ob_id": 10865, "uuid": "a756d6b2f2f4cdcba5e47eca7ea35e98", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Barton Bendish, Norfolk, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Barton Bendish, Norfolk, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-20T11:54:33", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:22:04", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 532, "bboxName": "Barton Bendish NCAVEO test site", "eastBoundLongitude": 0.618339, "westBoundLongitude": 0.447841, "southBoundLatitude": 52.568111, "northBoundLatitude": 52.661806 }, "verticalExtent": null, "result_field": { "ob_id": 10866, "dataPath": "/neodc/ncaveo_lcm2000/data/raster/lcmbartonb/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 81146, "numberOfFiles": 9, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3014, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2826, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10867, "uuid": "5e1427f940d143d7a5a242a19b7596c3", "short_code": "comp", "title": "CEH LCM 2000 25 meter derived roster format data processing deployed on Barton Bendish, Norfolk, UK", "abstract": "This computation involved: CEH LCM 2000 25 meter derived roster format data processing deployed on Barton Bendish, Norfolk, UK. This site is located at and around Barton Bendish farms, near Swaffham in Norfolk. The area is situated at an altitude of 50m. The site coordinates are: 52�� 36'N, 00�� 32'E. This site was used as a validation site during the NCAVEO Field Experiment in June 2006." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7224 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39089, 39094, 39088, 39091, 39092, 39093, 39095, 39090 ], "onlineresource_set": [] }, { "ob_id": 10868, "uuid": "c63e10555fd310fb8a47daf88104b8e1", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Barton Bendish, Norfolk, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Barton Bendish, Norfolk, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-03-24T15:56:20", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:23:08", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 532, "bboxName": "Barton Bendish NCAVEO test site", "eastBoundLongitude": 0.618339, "westBoundLongitude": 0.447841, "southBoundLatitude": 52.568111, "northBoundLatitude": 52.661806 }, "verticalExtent": null, "result_field": { "ob_id": 10869, "dataPath": "/neodc/ncaveo_lcm2000/data/vector/lcmbartonb/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1266569, "numberOfFiles": 6, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3015, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2827, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10870, "uuid": "63df6af97a5b44cf90403e57885f6087", "short_code": "comp", "title": "CEH LCM 2000 Level 2 Vector format data processing deployed on Barton Bendish, Norfolk, UK", "abstract": "This computation involved: CEH LCM 2000 Level 2 Vector format data processing deployed on Barton Bendish, Norfolk, UK." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7228 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39099, 39104, 39098, 39101, 39102, 39103, 39105, 39100 ], "onlineresource_set": [] }, { "ob_id": 10871, "uuid": "cfb9601675a667247a8bd5fb0e58f396", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Monks Wood, Cambridgeshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Monks Wood, Cambridgeshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-20T11:53:01", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:24:08", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 531, "bboxName": "Monks Wood NCAVEO test site area", "eastBoundLongitude": -0.150755, "westBoundLongitude": -0.320438, "southBoundLatitude": 52.339867, "northBoundLatitude": 52.448603 }, "verticalExtent": null, "result_field": { "ob_id": 10872, "dataPath": "/neodc/ncaveo_lcm2000/data/raster/lcmmonkswood/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 72569, "numberOfFiles": 9, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3016, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2828, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10873, "uuid": "97b354386d104a429c89b2e82879cdca", "short_code": "comp", "title": "CEH LCM 2000 25 meter derived roster format data processing deployed on Monks Wood, Cambridgeshire, UK", "abstract": "This computation involved: CEH LCM 2000 25 meter derived roster format data processing deployed on Monks Wood, Cambridgeshire, UK. Monks Wood is National Nature Reserve situated in Cambridgeshire. An ash-oak woodland has been present on the site for over 2,000 years. In the past, the wood was managed as coppice and some areas were clear-felled. It then became National Nature Reserve in 1953 as its high biodiversity in ground flora and insects was recognised as vital for local wildlife. The site coordinates are: 52�� 24' N, 00�� 14' W. This site was used as a validation site during the NCAVEO field experiment in June 2006." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7231 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39108, 39113, 39111, 39112, 39114, 39107, 39110, 39109 ], "onlineresource_set": [] }, { "ob_id": 10874, "uuid": "3fe8082c812d88e0014d94c3a2d0a087", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Monks Wood, Cambridgeshire, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Monks Wood, Cambridgeshire, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-03-24T16:15:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:24:23", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 531, "bboxName": "Monks Wood NCAVEO test site area", "eastBoundLongitude": -0.150755, "westBoundLongitude": -0.320438, "southBoundLatitude": 52.339867, "northBoundLatitude": 52.448603 }, "verticalExtent": null, "result_field": { "ob_id": 10875, "dataPath": "/neodc/ncaveo_lcm2000/data/vector/lcmmonkswood/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1298215, "numberOfFiles": 6, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3017, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2829, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10876, "uuid": "2907d9952d0f40588ee11c1fd3db06cd", "short_code": "comp", "title": "CEH LCM 2000 Level 2 Vector format data processing deployed on Monks Wood, Cambridgeshire, UK", "abstract": "This computation involved: CEH LCM 2000 Level 2 Vector format data processing deployed on Monks Wood, Cambridgeshire, UK." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7235 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39118, 39123, 39117, 39120, 39121, 39122, 39124, 39119 ], "onlineresource_set": [] }, { "ob_id": 10877, "uuid": "6fe5d63251ee88bac88359a79aa76435", "title": "25m resolution raster formatted data from the CEH Land Cover Map 2000 for Thorney Island, South Coast of England, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-20T11:57:07", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:24:42", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 530, "bboxName": "Thorney Island NCAVEO test bounding box", "eastBoundLongitude": -0.814189, "westBoundLongitude": -1.008032, "southBoundLatitude": 50.763747, "northBoundLatitude": 50.867733 }, "verticalExtent": null, "result_field": { "ob_id": 10878, "dataPath": "/neodc/ncaveo_lcm2000/data/raster/lcmthorney/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 94537, "numberOfFiles": 9, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3018, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2830, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10879, "uuid": "60c838aab4c340ec90f00592f475624a", "short_code": "comp", "title": "CEH LCM 2000 25 meter derived roster format data processing deployed on Thorney Island, South Coast of England, UK", "abstract": "This computation involved: CEH LCM 2000 25 meter derived roster format data processing deployed on Thorney Island, South Coast of England, UK. Thorney Island is a peninsula of land extending into Chichester Harbour, on the south coast of England. The remote sensing test site is located at 50 �� 49'N, 00 ��55'W. This site was used as a validation site during the NCAVEO Field Experiment in June 2006." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7238 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39127, 39126, 39132, 39133, 39129, 39130, 39131, 39128 ], "onlineresource_set": [] }, { "ob_id": 10880, "uuid": "7e53017332fd861f156c8280dc01f002", "title": "Level 2 vector formatted data from the CEH Land Cover Map 2000 for Thorney Island, South Coast of England, UK, in support of the Network for Calibration and Validation of EO (NCAVEO) campaign.", "abstract": "This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-03-24T15:58:55", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to the NERC Earth Observation Data Centre (NEODC)by the NERC Centre for Ecology and Hydrology (CEH). They are a subset of the Land Cover Map 2000 dataset.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-19T15:24:56", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 530, "bboxName": "Thorney Island NCAVEO test bounding box", "eastBoundLongitude": -0.814189, "westBoundLongitude": -1.008032, "southBoundLatitude": 50.763747, "northBoundLatitude": 50.867733 }, "verticalExtent": null, "result_field": { "ob_id": 10881, "dataPath": "/neodc/ncaveo_lcm2000/data/vector/lcmthorney/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1537217, "numberOfFiles": 11, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>Datasets for NCAVEO's UK test sites available through NEODC include:</p>\r\n<ul class=\"style1\">\r\n<li>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/raster/\">25 m derived raster format</a> \r\n</li><li>CEH LCM2000 Data, <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_lcm2000/data/vector/\">Level 2 vector format</a> </li></ul>\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n\r\n\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 3019, "startTime": "2000-01-01T00:00:00", "endTime": "2000-12-31T00:00:00" }, "resultQuality": { "ob_id": 2831, "explanation": "uncertainty information is provided on the CEH LCM2000 website.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-07-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 10882, "uuid": "896827c4b4384432882431484e760472", "short_code": "comp", "title": "CEH LCM 2000 Level 2 Vector format data processing deployed on Thorney Island, South Coast of England, UK", "abstract": "This computation involved: CEH LCM 2000 Level 2 Vector format data processing deployed on Thorney Island, South Coast of England, UK." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2583, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ncaveo_lcm2000", "label": "restricted: ncaveo_lcm2000 group", "licence": { "ob_id": 46, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The 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. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7242 ], "observationcollection_set": [ { "ob_id": 10852, "uuid": "1bd42cf1d9aa4603843402f3a6af79bb", "short_code": "coll", "title": "Land Cover Map 2000 Data for the NCAVEO UK Calibration/Validation Test Sites", "abstract": "Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 data are for use at the Network for Calibration And Validation of Earth Observations (NCAVEO) calibration/validation (cal/val) test sites for the illustration and explanation of processes involved in cal/val of earth observation data. The 5 UK test sites which have been identified as example cal/val sites are Barton Bendish, Chilbolton, Harwood Forest, Monks Wood and Thorney Island. The Land Cover Map datasets are available in 25 m derived raster format and Level 2 vector format." }, { "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": [ 39137, 39142, 39143, 39136, 39139, 39140, 39141, 39138 ], "onlineresource_set": [] }, { "ob_id": 10884, "uuid": "998a28d8a5ed4564863a0daa0f731e8d", "title": "NEXTMap British Digital Terrain (DTM) Model Data by Intermap", "abstract": "This dataset consists of the Digital Terrain Model data (DTM) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-22T18:06:52", "updateFrequency": "notPlanned", "dataLineage": "Data were purchased by the Natural Environmental Research Council from Intermap who produced the data. These data were then delivered to the NEODC for curation and to permit NERC funded researchers to access these data centrally.", "removedDataReason": "", "keywords": "NEXTMap, digital terrain model, dtm, elevation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-09-16T23:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 674, "bboxName": "UK OS Grid (UKCP grid)", "eastBoundLongitude": 4.41954, "westBoundLongitude": -8.56493, "southBoundLatitude": 49.53098, "northBoundLatitude": 61.11007 }, "verticalExtent": null, "result_field": { "ob_id": 11722, "dataPath": "/neodc/nextmap/by_product/dtm/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48820057491, "numberOfFiles": 35311, "fileFormat": "These data are in a variety of formats" }, "timePeriod": { "ob_id": 3020, "startTime": "2001-12-30T00:00:00", "endTime": "2003-10-12T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 133 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2587, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "nextmap_eula", "label": "restricted: nextmap_eula group", "licence": { "ob_id": 50, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/nextmap_eula.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 13986, "uuid": "7a4861633a3f490abf2fbeef4a444ffa", "short_code": "proj", "title": "NEXTMap British Digital Terrain Model", "abstract": "NEXTMap Britain digital terrain model dataset, produced by Intermap, was derived from airborne Interferometric Synthetic Aperture Radar (IFSAR). It enabled large areas of the country to be covered rapidly and at very high spatial resolution. The data were acquired by the British Geological Survey (BGS) and are for use by NERC funded researchers only.\r\n\r\nIt was originally commissioned by Norwich Union Insurance to aid in the estimation of flood risk, but has tremendous potential as a scientific research tool.\r\n\r\nThe dataset covers all of England, Wales and Scotland.\r\n\r\nData are arranged into Ordnance Survey / British National Grid tiles of 10 x 10 km, each denoted by a 4-charcter name, e.g. TL63 based on the OS National Grid coordinates of the southwest corner of the square. Products provided include: \r\n\r\nDigital surface mode (dsm)\r\nDigital terrain model (dtm)\r\nDifference model (dsm - dtm)\r\nDigital terrain model at 10m resolution\r\nDigital terrain model at 50m resolution\r\nDigital terrain model, enhanced (manually edited to remove embankments etc.)\r\nOrthorectified radar image (ori)\r\n\r\nThe data covering Northern Scotland (North of the Midland Valley) are only available as diff, dsm, dtm and ori products.\r\n\r\nThis dataset has been archived at the NEODC for the use of NERC scientists outside of BGS and CEH (who have made their own arrangements for internal distribution of the data)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10883, "uuid": "8f6e1598372c058f07b0aeac2442366d", "short_code": "coll", "title": "NEXTMap British Digital Terrain Model Dataset Produced by Intermap", "abstract": "NEXTMap Britain digital terrain model dataset, produced by Intermap, was derived from airborne Interferometric Synthetic Aperture Radar (IFSAR). It enabled large areas of the country to be covered rapidly and at very high spatial resolution. The data were acquired by the British Geological Survey (BGS) and are for use by NERC funded researchers only.\r\n\r\nIt was originally commissioned by Norwich Union Insurance to aid in the estimation of flood risk, but has tremendous potential as a scientific research tool.\r\n\r\nThe dataset covers all of England, Wales and Scotland.\r\n\r\nData are arranged into Ordnance Survey / British National Grid tiles of 10 x 10 km, each denoted by a 4-charcter name, e.g. TL63 based on the OS National Grid coordinates of the southwest corner of the square. Products provided include: \r\n\r\nDigital surface mode (dsm)\r\nDigital terrain model (dtm)\r\nDifference model (dsm - dtm)\r\nDigital terrain model at 10m resolution\r\nDigital terrain model at 50m resolution\r\nDigital terrain model, enhanced (manually edited to remove embankments etc.)\r\nOrthorectified radar image (ori)\r\n\r\nThe data covering Northern Scotland (North of the Midland Valley) are only available as diff, dsm, dtm and ori products.\r\n\r\nThis dataset has been archived at the NEODC for the use of NERC scientists outside of BGS and CEH (who have made their own arrangements for internal distribution of the data)." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 39153, 39154, 39155, 39157, 39158, 39159, 39160, 39156 ], "onlineresource_set": [] }, { "ob_id": 10886, "uuid": "b2e553261448fcbed284612e5b4bae58", "title": "Data from AVHRR-3 at Metop-A for the Eumetsat Polar System Project", "abstract": "AVHRR-3 scans the Earth's surface in six spectral bands in the range of 0.58-12.5 microns, to provide day and night imaging of land, water and clouds and measurements of sea surface temperature, ice snow and vegetation cover. The instruments were provided by the National Oceanic and Atmospheric Administration (NOAA) and is flown on the EPS-METOP series of satellites\r\n\r\nThis dataset contains data from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on board the Eumetsat Polar System (EPS) MetOp-A satellite.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2022-01-19T13:27:15", "updateFrequency": "asNeeded", "dataLineage": "Data collected and prepared by EUMETSAT before a copy of the data were obtained by NEODC directly from EUMETSAT", "removedDataReason": "", "keywords": "AVHRR-3, radiometric, images", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2009-06-11T14:27:34", "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": 32895, "dataPath": "/neodc/avhrr3_metop_a/data/l1b", "oldDataPath": [ 10887 ], "storageLocation": "internal", "storageStatus": "online", "volume": 31941089779577, "numberOfFiles": 75157, "fileFormat": "Data are in EUMETSAT native format" }, "timePeriod": { "ob_id": 3021, "startTime": "2006-10-18T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 2832, "explanation": "Data are from an operational service run by EUMETSAT. 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We have three sets of ionospheric sounder data, each being specific to a certain location over the Earth. \r\nOver the solant, from 1962-10-12 to 1964-02-04. \r\nOver Woomera, from 1962-10-19 to 1964-12-11. \r\n\r\nAlouette II datum from the ionospheric sounder is available from 1967-03-21 to 1967-08-10.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:26", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Alouette", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19766, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Paper" }, "timePeriod": { "ob_id": 3034, "startTime": "1962-10-11T23:00:00", "endTime": "1967-08-09T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19801, "uuid": "818b5bd261554517be04316f5bba82c8", "short_code": "proj", "title": "Alouette missons", "abstract": "Alouette 1 was a deactivated Canadian satellite that studied the ionosphere, launched in 1962. 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Program (STSP) comprising SOHO and CLUSTER, and the International Solar-Terrestrial Physics Program (ISTP), with Geotail (ISAS-Japan), Wind and Polar parameters measured.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:26", "updateFrequency": "", "dataLineage": "needed", "removedDataReason": "", "keywords": "SOHO, solar, heliospheric", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "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": 19773, "dataPath": "http://www.ukssdc.ac.uk/solar/soho/data.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Unknown" }, "timePeriod": { "ob_id": 3035, "startTime": "1995-12-02T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19809, "uuid": "0d6d732fe2b34e81afca54f3222d1aca", "short_code": "proj", "title": "Solar and Heliospheric Observatory (SOHO)", "abstract": "The SOHO (Solar & Heliospheric Observatory) project was carried out by the European Space Agency (ESA) and the US National Aeronautics and Space Administration (NASA) as a cooperative effort between the two agencies in the framework of the Solar Terrestrial Science Program (STSP) comprising SOHO and CLUSTER, and the International Solar-Terrestrial Physics Program (ISTP), with Geotail (ISAS-Japan), Wind and Polar parameters measured." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19776, "uuid": "84d776c8fb684c3dac52aebb0513a4d6", "short_code": "coll", "title": "Solar archive", "abstract": "This dataset collection contains solar archived data from UKSSDC:\r\n-Solar and Heliospheric Observatory (SOHO) Project Data\r\n-NASA Transition Region And Coronal Explorer (TRACE) solar images (1998-2010)\r\n-NASA Solar TErrestrial RElations Observatory (STEREO) Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) data" }, { "ob_id": 10934, "uuid": "e1ef548c8882a3b17b9814c9be6fbf6d", "short_code": "coll", "title": "Solar and Heliospheric Observatory (SOHO) Project Data", "abstract": "The SOHO (Solar & Heliospheric Observatory) project was carried out by the European Space Agency (ESA) and the US National Aeronautics and Space Administration (NASA) as a cooperative effort between the two agencies in the framework of the Solar Terrestrial Science Program (STSP) comprising SOHO and CLUSTER, and the International Solar-Terrestrial Physics Program (ISTP), with Geotail (ISAS-Japan), Wind and Polar parameters measured.\r\n" } ], "responsiblepartyinfo_set": [ 39291, 39295, 39297, 39298, 39290, 39292, 39296, 39293, 39294 ], "onlineresource_set": [ 15707, 15708 ] }, { "ob_id": 10937, "uuid": "dc8c9a1dfba24a0187e22740404385fd", "title": "NASA Solar TErrestrial RElations Observatory (STEREO) Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) data", "abstract": "Data from the Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) suite of instruments on board the NASA Solar TErrestrial RElations Observatory (STEREO) spacecraft, from 2006-12-13 onwards.\r\n\r\nThe UK Solar System Data Centre (UKSSDC) holds datum from the Sun Earth Connection Coronal and Heliospheric Investigtion (SECCHI). SECCHI is a suite of instruments on board NASA's twin Solar TErrestrial RElations Observatory (STEREO)spacecraft. These spacecraft monitor the Sun from two different points, making a 3D description of solar events possible. \r\n\r\nThe SECCHI suite consists of 5 cameras:\r\n\r\nEUVI\r\nExtreme UltraViolet Imager - Images the full solar disk in 4 different wavelengths [He II 30.4 nm, Fe IX 17.1 nm, Fe XII 19. 5nm, Fe XV 28.4 nm]\r\nCOR1\r\nA classic Lyot internally occulting refractive coronagraph, with a field of view is from 1.3 to 4 solar radii. A linear polarizer is used to suppress scattered light, and to extract the polarized brightness signal from the solar corona.\r\nCOR2\r\nAn externally occulted Lyot coronagraph, with a field of view from 2.5 to 15 solar radii.\r\nHI_1\r\nHeliospheric Imager 1 - white light camera with a 20 degree field of view centred 14 degrees off the Sun in the ecliptic plane.\r\nHI_2\r\nHeliospheric Imager 2 - white light camera with a 70 degree field of view centred 54 degrees off the Sun in the ecliptic plane.\r\n\r\nDatum from each of these cameras is available at processing level 0.5 (see below). \r\nDatum from the HI instruments is available at processing levels 1 (see below) and 2 (see below). The primary goal of these instruments is to detect and describe Coronal Mass Ejections (CME's), in particular halo CME's (Earth-bound CME's). \r\n\r\nProcessing Levels \r\n\r\nLevel 0.5 :\r\nData processed to level 0.5 is downloaded from the Naval Research Laboratory, Washington DC.\r\n\r\n\r\nLevel 1:\r\nHI data is then subsequently processed to level 1 by the UKSSDC. This means that the images have been processed by the SECCHI_PREP routine to remove the effects of the shutterless readout and to apply a flatfield. The treatment can be roughly broken down as follows: \r\n1. Reject corrupted images - a list is maintained of images that were badly corrupted in processing and transmission - these images are not processed to level 1. \r\n2. Extract cosmic ray report - [only present in s4 images]. The pixels are replaced by a duplicate of the line below to allow subsequent processing. \r\n3. Remove columns where saturation has occurred on the CCD - due to there being no shutter on the camera it is not in general possible to recover columns where saturation has occurred. Bright stars and planets often saturate. \r\n4. De-smear the image - by applying a matrix multiplication algorithmically remove the smear caused in clearing and readout of the CCD. This process automatically normalises the exposure time to 1 second and removes the summing effect in the s4 images. \r\n4. Remove pixels marked as having missing telemetry from the image. \r\n5. Apply a calibration factor to the image - currently this allows for the geometric effect in the lenses and for a linear production feature in the CCD. \r\nThe pointing information in the header is updated by reference to the observed starfield.\r\n\r\n\r\nLevel 2:\r\nLevel 1 images are then processed to remove light scattered from the f and k coronas. These images a dubbed level 2. \r\nLevel 2 processing involves: \r\n1. Selecting a running window of 1 or 11 days\r\n2. Selecting the lowest 25% of the data within that window\r\n3. Forming an average of that on a pixel by pixel basis\r\n4. Subtracting this from the original image\r\nThis forms the L2_1_25 and L2_11_25 data sets, depending on whether a 1 or 11 day running window has been used.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:26", "updateFrequency": "", "dataLineage": "needed", "removedDataReason": "", "keywords": "STEREO, SECCHI", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19775, "dataPath": "http://www.ukssdc.ac.uk/solar/stereo/data.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Unknown" }, "timePeriod": { "ob_id": 3036, "startTime": "2006-12-13T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19811, "uuid": "560180cde39445ef9a3b49e31523a0e1", "short_code": "proj", "title": "Solar TErrestrial RElations Observatory (STEREO)", "abstract": "STEREO (Solar Terrestrial Relations Observatory) was a solar observation mission. Two nearly identical spacecraft were launched in 2006 into orbits around the Sun that cause them to respectively pull farther ahead of and fall gradually behind the Earth. This enables stereoscopic imaging of the Sun and solar phenomena, such as coronal mass ejections." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19776, "uuid": "84d776c8fb684c3dac52aebb0513a4d6", "short_code": "coll", "title": "Solar archive", "abstract": "This dataset collection contains solar archived data from UKSSDC:\r\n-Solar and Heliospheric Observatory (SOHO) Project Data\r\n-NASA Transition Region And Coronal Explorer (TRACE) solar images (1998-2010)\r\n-NASA Solar TErrestrial RElations Observatory (STEREO) Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) data" }, { "ob_id": 10936, "uuid": "9fda147f3eeca1d292435c62d6e4ad19", "short_code": "coll", "title": "NASA Solar TErrestrial RElations Observatory (STEREO) Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) data", "abstract": "Data from the Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) suite of instruments on board the NASA Solar TErrestrial RElations Observatory (STEREO) spacecraft, from 2006-12-13 onwards.\r\n\r\nThe UK Solar System Data Centre (UKSSDC) holds datum from the Sun Earth Connection Coronal and Heliospheric Investigtion (SECCHI). SECCHI is a suite of instruments on board NASA's twin Solar TErrestrial RElations Observatory (STEREO)spacecraft. These spacecraft monitor the Sun from two different points, making a 3D description of solar events possible. \r\n\r\nThe SECCHI suite consists of 5 cameras:\r\n\r\nEUVI\r\nExtreme UltraViolet Imager - Images the full solar disk in 4 different wavelengths [He II 30.4 nm, Fe IX 17.1 nm, Fe XII 19. 5nm, Fe XV 28.4 nm]\r\nCOR1\r\nA classic Lyot internally occulting refractive coronagraph, with a field of view is from 1.3 to 4 solar radii. A linear polarizer is used to suppress scattered light, and to extract the polarized brightness signal from the solar corona.\r\nCOR2\r\nAn externally occulted Lyot coronagraph, with a field of view from 2.5 to 15 solar radii.\r\nHI_1\r\nHeliospheric Imager 1 - white light camera with a 20 degree field of view centred 14 degrees off the Sun in the ecliptic plane.\r\nHI_2\r\nHeliospheric Imager 2 - white light camera with a 70 degree field of view centred 54 degrees off the Sun in the ecliptic plane.\r\n\r\nDatum from each of these cameras is available at processing level 0.5 (see below). \r\nDatum from the HI instruments is available at processing levels 1 (see below) and 2 (see below). The primary goal of these instruments is to detect and describe Coronal Mass Ejections (CME's), in particular halo CME's (Earth-bound CME's). \r\n\r\nProcessing Levels \r\n\r\nLevel 0.5 :\r\nData processed to level 0.5 is downloaded from the Naval Research Laboratory, Washington DC.\r\n\r\n\r\nLevel 1:\r\nHI data is then subsequently processed to level 1 by the UKSSDC. This means that the images have been processed by the SECCHI_PREP routine to remove the effects of the the shutterless readout and to apply a flatfield. The treatment can be roughly broken down as follows: \r\n1. Reject corrupted images - a list is maintained of images that were badly corrupted in processing and transmission - these images are not processed to level 1. \r\n2. Extract cosmic ray report - [only present in s4 images]. The pixels are replaced by a duplicate of the line below to allow subsequent processing. \r\n3. Remove columns where saturation has occurred on the CCD - due to there being no shutter on the camera it is not in general possible to recover columns where saturation has occurred. Bright stars and planets often saturate. \r\n4. De-smear the image - by applying a matrix multiplication algorithmically remove the smear caused in clearing and readout of the CCD. This process automatically normalises the exposure time to 1 second and removes the summing effect in the s4 images. \r\n4. Remove pixels marked as having missing telemetry from the image. \r\n5. Apply a calibration factor to the image - currently this allows for the geometric effect in the lenses and for a linear production feature in the CCD. \r\nThe pointing information in the header is updated by reference to the observed starfield.\r\n\r\n\r\nLevel 2:\r\nLevel 1 images are then processed to remove light scattered from the f and k coronas. These images a dubbed level 2. \r\nLevel 2 processing involves: \r\n1. Selecting a running window of 1 or 11 days\r\n2. Selecting the lowest 25% of the data within that window\r\n3. Forming an average of that on a pixel by pixel basis\r\n4. Subtracting this from the original image\r\nThis forms the L2_1_25 and L2_11_25 data sets, depending on whether a 1 or 11 day running window has been used." } ], "responsiblepartyinfo_set": [ 39309, 39315, 39316, 39308, 39310, 39314, 74825, 39312, 39313, 39311 ], "onlineresource_set": [ 15721, 15722 ] }, { "ob_id": 10939, "uuid": "1ed5a6870903426abef500c6bc060a37", "title": "Royal Observatory Greenwich Solar Images (1903-1942)", "abstract": "A collection of solar images on prints and glass plates. These were taken, in part, at the Royal Observatory, Greenwich, and cover the period 1903 - 1942. The images are taken over the visible spectrum, as well as through Ca II K and H alpha filters. There are four main kinds of image:\r\n- Solar disc image\r\n- Solar limb image (coronagraph images)\r\n- Solar limb and disc image (the superposition of the above two)\r\n- Time series (for events of particular interest, taken through an H alpha filter. There are only a handful of these)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:27", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "solar images, plates, Greenwich", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19817, "dataPath": "http://www.ukssdc.ac.uk/cgi-bin/wdcc1/secure/rog_image_availability.pl", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "images" }, "timePeriod": { "ob_id": 3037, "startTime": "1903-05-19T00:00:00", "endTime": "1942-05-18T22:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 8982, 8981 ], "observationcollection_set": [ { "ob_id": 19784, "uuid": "a99198f0abf447ea85eebcf1385284e3", "short_code": "coll", "title": "Solar data", "abstract": "This dataset collection contains solar data from UKSSDC:\r\n-Royal Observatory Greenwich Solar Images (1903-1942)\r\n-Royal Observatory Greenwich Photo-Heliographic Reports (1874-1976)\r\n-Solar images glass plates\r\n-GDC scanned images\r\n-Solar digisted images glass plates" } ], "responsiblepartyinfo_set": [ 39326, 39325, 39327, 39329, 39330, 39332, 39331, 39328 ], "onlineresource_set": [] }, { "ob_id": 10941, "uuid": "54988e5b7aff4e929ac02e73f3c777ca", "title": "Geomagnetic Daily Indices Reports", "abstract": "This dataset consists of daily paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:27", "updateFrequency": "", "dataLineage": "neeeded", "removedDataReason": "", "keywords": "Geomagnetic Indices Reports", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "planned", "dataPublishedTime": null, "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": 19783, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/daily_reports.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10940, "uuid": "c8ab45acebe2e0c38d1ee5a9abdfac3f", "short_code": "coll", "title": "Geomagnetic Indices Reports", "abstract": "This dataset collection consists of paper reports of various geomagnetic indices, global and local, from a range of observatories. Date ranges vary and all datasets are no longer updated as paper records, but are generally available online from the UKSSDC or other sources.\r\n\r\nThe reports include:\r\n\r\nAmerican Association of Variable Star Observers (AAVSO) Sunspot Numbers\r\nGeomagnetic Auroral Electrojet (AE) indices\r\nBartels Music Diagrams\r\nCircular of Basic Indices for Ionospheric Propagation, CNET Lannion\r\nDisturbance Storm Time (DST)\r\nInternational Association of Geomagnetism and Aeronomy (IAGA) Bulletins\r\nIF2 indices\r\nIG indices\r\nIndia Solar and Geophysical Data\r\nIonospheric Prediction Service (IPS) Predictions\r\nInternational Service for Geomagnetic Indices (ISGI) Reports\r\nMagnetic Indices\r\nSolar-Geophysical Data, Prompt and Comprehensive Reports, National Oceanic and Atmospheric Administration (NOAA), 1968 - 2001\r\nSolar Radio Noise" } ], "responsiblepartyinfo_set": [ 39342, 39341, 39343, 39346, 39347, 39348, 39345, 39344 ], "onlineresource_set": [ 15728 ] }, { "ob_id": 10943, "uuid": "710ec325988347e5bff6499c04b4beb8", "title": "Viking Spectrogram Summary Data", "abstract": "Viking was Sweden's first satellite, aimed at monitoring the interaction of the solar with with the Earth's magnetosphere, and the resulting behaviour of the aurora borealis. The satellite hosted a variety of instruments. The datum held by the UK Solar System Data Centre are ion spectrograms from the V-3 instrument. \r\n\r\nThis dataset collection contains plots and summary plots of hot plasma spectrograms from the Swedish mission Viking. Datum covers 1986 in slide format.\r\n\r\nSpectrogram slides are available from 1986-06-02 to 1986-10-01. \r\nLower resolution summary plots are available from 1986-04-24 to 1986-11-26.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:27", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Viking, spectograms, slides, plots", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19771, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Sildes" }, "timePeriod": { "ob_id": 3038, "startTime": "1986-03-03T00:00:00", "endTime": "1986-11-29T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19804, "uuid": "236edc60fd834cd0bc671f2c23750578", "short_code": "proj", "title": "Viking (satellite)", "abstract": "Viking was Sweden's first satellite. It was launched on an Ariane 1 rocket as a piggyback payload together with the French satellite SPOT 1, on February 22, 1986. Operations ended on May 12, 1987. Viking was used to explore plasma processes in the magnetosphere and the ionosphere." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10942, "uuid": "77e42525eadcb1115b5535836d266ddd", "short_code": "coll", "title": "Viking Spectrogram Summary Data", "abstract": "Viking was Sweden's first satellite, aimed at monitoring the interaction of the solar with with the Earth's magnetosphere, and the resulting behaviour of the aurora borealis. The satellite hosted a variety of instruments. The datum held by the UK Solar System Data Centre are ion spectrograms from the V-3 instrument. \r\n\r\nThis dataset collection contains plots and summary plots of hot plasma spectrograms from the Swedish mission Viking. Datum covers 1986 in slide format.\r\n\r\nSpectrogram slides are available from 1986-06-02 to 1986-10-01. \r\nLower resolution summary plots are available from 1986-04-24 to 1986-11-26.\r\n\r\n" }, { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." } ], "responsiblepartyinfo_set": [ 39358, 39362, 39356, 39357, 39360, 39361, 74821, 39359 ], "onlineresource_set": [] }, { "ob_id": 10945, "uuid": "3922e45b2d764ae196cb06a941e1beb7", "title": "Data from Ionosonde Stations", "abstract": "Scaled Ionospheric Parameters provided by worldwide network of Ionosonde stations providing data to the World Data Centre (WDC) System from the beginning of 1930 onwards.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:27", "updateFrequency": "", "dataLineage": "needed", "removedDataReason": "", "keywords": "Ionosonde", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19789, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Paper" }, "timePeriod": { "ob_id": 3039, "startTime": "1930-01-01T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 39372, 39375, 39378, 39371, 39373, 39376, 39377, 39374 ], "onlineresource_set": [ 15727, 15723, 15724, 15725, 15726 ] }, { "ob_id": 10947, "uuid": "5116f09e13c84454888fd0e2466352ec", "title": "NASA Transition Region And Coronal Explorer (TRACE) solar images (1998-2010)", "abstract": "Images from the Transition Region and Coronal Explorer (TRACE), a NASA Small Explorer (SMEX) mission to image the solar corona and transition region at high angular and temporal resolution. The dataset spans the period 1998-2010.\r\n\r\nSolar images from the telescope on board NASA's Transition Region And Coronal Explorer (TRACE) mission. TRACE, is a mission of the Stanford-Lockheed Institute for Space Research (a joint program of the Lockheed-Martin Advanced Technology Center's Solar and Astrophysics Laboratory and Stanford's Solar Observatories Group ), and part of the NASA Small Explorer program.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:28", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "TRACE, sun, images", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 19774, "dataPath": "http://www.ukssdc.ac.uk/solar/trace/data.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Unknown" }, "timePeriod": { "ob_id": 3040, "startTime": "1998-04-19T23:00:00", "endTime": "2010-06-20T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19810, "uuid": "93e60781411c410685e72199a8c9ed13", "short_code": "proj", "title": "NASA Transition Region And Coronal Explorer (TRACE)", "abstract": "Solar images from the telescope on board NASA's Transition Region And Coronal Explorer (TRACE) mission. TRACE, is a mission of the Stanford-Lockheed Institute for Space Research (a joint program of the Lockheed-Martin Advanced Technology Center's Solar and Astrophysics Laboratory and Stanford's Solar Observatories Group ), and part of the NASA Small Explorer program." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19776, "uuid": "84d776c8fb684c3dac52aebb0513a4d6", "short_code": "coll", "title": "Solar archive", "abstract": "This dataset collection contains solar archived data from UKSSDC:\r\n-Solar and Heliospheric Observatory (SOHO) Project Data\r\n-NASA Transition Region And Coronal Explorer (TRACE) solar images (1998-2010)\r\n-NASA Solar TErrestrial RElations Observatory (STEREO) Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) data" }, { "ob_id": 10946, "uuid": "09c00e6a6975cbcf357ce7a2a9f23ddc", "short_code": "coll", "title": "NASA Transition Region And Coronal Explorer (TRACE) solar images (1998-2010)", "abstract": "Images from the Transition Region and Coronal Explorer (TRACE), a NASA Small Explorer (SMEX) mission to image the solar corona and transition region at high angular and temporal resolution. The dataset spans the period 1998-2010.\r\n\r\nSolar images from the telescope on board NASA's Transition Region And Coronal Explorer (TRACE) mission. TRACE, is a mission of the Stanford-Lockheed Institute for Space Research (a joint program of the Lockheed-Martin Advanced Technology Center's Solar and Astrophysics Laboratory and Stanford's Solar Observatories Group ), and part of the NASA Small Explorer program." } ], "responsiblepartyinfo_set": [ 39388, 39387, 39389, 39391, 39392, 39393, 39394, 39390 ], "onlineresource_set": [ 15718, 15719, 15720 ] }, { "ob_id": 10949, "uuid": "6e3e699fa0d3479b96dd990c0ce417ba", "title": "Ditton Park Archive: radio research physical record collection (1898-1981)", "abstract": "This dataset contains of records chronicling the pioneering radio research work that was carried out at Ditton Park in Slough from 1924 to 1979.\r\n\r\nIn 1920 the Department of Scientific and Industrial Research formed the Radio Research Board (which located at Ditton Park in 1924) to undertake valuable research into radio science. This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose.\r\n\r\nThe records in the archive include 1930s Appleton ionogram graphs, ionospheric recording books and correspondence between the Station and its employees working at Tromso in Norway for the 1932 International Polar Year.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:28", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Ditton Park, radio, ionogram graphs", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 494, "bboxName": "", "eastBoundLongitude": -0.5, "westBoundLongitude": -0.6, "southBoundLatitude": 51.4, "northBoundLatitude": 51.5 }, "verticalExtent": null, "result_field": { "ob_id": 19777, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "The archive consists of paper records" }, "timePeriod": { "ob_id": 3041, "startTime": "1924-01-01T00:00:00", "endTime": "1979-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19808, "uuid": "3fe5c0eb3b5e4fc881c49de902137e59", "short_code": "proj", "title": "Ditton Park", "abstract": "In 1920 the Department of Scientific and Industrial Research formed the Radio Research Board (which located at Ditton Park in 1924) to undertake valuable research into radio science. This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10948, "uuid": "683407ab96875d51b1194e6db00aa9c5", "short_code": "coll", "title": "Ditton Park Archive: radio research physical record collection (1898-1981)", "abstract": "This dataset collection contains of records chronicling the pioneering radio research work that was carried out at Ditton Park in Slough from 1924 to 1979, and includes various physical artefacts such as reports, patent specifications and photographs from 1898 to 1981.\r\n\r\nIn 1920 the Department of Scientific and Industrial Research formed the Radio Research Board (which located at Ditton Park in 1924) to undertake valuable research into radio science. This was the beginning of a high-quality scientific establishment that was led by a team of enthusiastic and expert scientists including Admiral of the Fleet Sir Henry Jackson, Sir Edward Appleton, Sir Robert Watson-Watt, Robert Naismith and Reginald Leslie Smith-Rose.\r\n\r\nThe Radio Research Station (as it became known) was home to the invention of radar by Robert Watson-Watt and authoritative studies on ionospheric science. Over the years the Station amended its research programme to remain at the forefront of radio science while introducing new fields of study, this was reflected in the growth of space science research from the late 1950s.\r\n\r\nFollowing several name changes, the Station became the Appleton Laboratory in 1973 and remained so until the merger with the Rutherford Laboratory at Chilton in Oxfordshire in 1979.\r\n\r\nThe records in the archive include 1930s Appleton ionogram graphs, ionospheric recording books and correspondence between the Station and its employees working at Tromso in Norway for the 1932 International Polar Year.\r\n\r\nThe early work of the Station is recorded in the minutes of meetings and scientific reports while small collections of correspondence by members of the scientific staff are informative about specific projects and collaborations with other institutes within the United Kingdom and internationally.\r\n\r\nThere is a sizeable collection of photographs that provide a fascinating history of the facilities and equipment used and developed at the Station." } ], "responsiblepartyinfo_set": [ 39408, 39407, 39409, 39413, 39418, 39415, 39416, 39410, 39411, 39412, 39414, 39417 ], "onlineresource_set": [] }, { "ob_id": 10951, "uuid": "bd83322fc85e4a58a08ae19f298a0ac2", "title": "Geophysical Parameters and Indices Database", "abstract": "Database of Geophysical parameters/indices covering the whole Solar-Terrestrial environment from 1932 onward. These are solar and interplanetary parameters, as well as geomagnetic indices and ionospheric indices. The geophysical data is served and stored by the World Data Centre (WDC) at the UK Solar System Data Centre (UKSSDC). The parameters available are: Solar - Bartels rotation number; C9, Cp; Solar 10.7cm flux; Solar coronal source flux; Sunspot number; Boulder, International, Meudon. Interplanetary - Interplanetary Magnetic Field, (Bx,By,Bz,B); Plasma density, temperature, flow. Geomagnetic Indices - aa, an, as, am; AE; Ap, Kp; Dst; Polar Cap Index; Thule, Vostok. Ionospheric Indices - IF2, IG.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:28", "updateFrequency": "asNeeded", "dataLineage": "The data are supplied to the UK Solar System Data Centre (UKSSDC) from a range of data providers, including International Service for Geomagnetic Indices (ISGI), Solar Influences Data Center (SIDC), National Oceanic and Atmospheric Administration Space Weather Prediction Center (NOAA SWPC), NASA Goddard Space Flight Center (GSFC).", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-10-28T16:19:56", "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": 11693, "dataPath": "http://www.ukssdc.ac.uk/wdcc1/geophy_menu.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "ASCII output from database calls" }, "timePeriod": { "ob_id": 3042, "startTime": "1932-01-01T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2671, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 90, "licenceURL": "http://www.ukssdc.ac.uk/cgi-bin/wdcc1/userreg.pl", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 19805, "uuid": "e2fb4b5ecf4445d080f67d0b4cc8afcb", "short_code": "proj", "title": "World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10950, "uuid": "29c71ca6dadfa4841c1c96b8c0a081fc", "short_code": "coll", "title": "Geophysical Parameters and Indices Database", "abstract": "Database of Geophysical parameters/indices covering the whole Solar-Terrestrial environment from 1932 onward. These are solar and interplanetary parameters, as well as geomagnetic indices and ionospheric indices" } ], "responsiblepartyinfo_set": [ 39436, 39435, 39437, 39441, 39442, 39445, 39450, 39439, 39438, 39440, 39443, 39444, 39446, 39447, 39448, 39449 ], "onlineresource_set": [] }, { "ob_id": 10953, "uuid": "66486d43646c4f9db8bbde0efe1694ab", "title": "Raw Digital Ionosonde Data Tapes", "abstract": "The dataset consists of digital ionosonde data tapes from various ionosonde stations.\r\n\r\nDigital ionosonde data tapes from KEL ionosondes:\r\n\r\nSlough (SL051) 1992 - 1995\r\nThe KEL IPS42 is a simple sounder in comparison with modern equipment. It was specifically designed to carry out regular routine sounding of the ionosphere. The transmitter generates a 5 kw pulse using four valves in a parallel push/pull distributed amplifier. This is broadcast using a single rhombic antenna, which also doubles as the receiver. Since there is only one receive aerial, the information in the return signal is limited to frequency and time of flight (known as virtual height). The return analogue information is converted to a digital signal and processed by a Commodore 64 6502 chip. The results are then recorded onto magnetic tape.\r\nSouth Uist (US057) 1986 - 1990\r\nLerwick (LE061) 1990 - 1992\r\nStanley (PSJ5J) 1988 - 1995\r\nDigital ionosonde data tapes from DPS-1 (Digital Portable Sounder) ionosondes:\r\n\r\nLerwick (LE061) 1992 - 1998\r\nStanley (PSJ5J) 1995 - ongoing\r\nChilton (RL052) 1993 - ongoing\r\n\r\nIn contrast to the KEL, the Digital Portable Sounder (DPS) at Chilton is a much more versatile instrument. Although it is being used at RAL for regular monitoring (following the schedule of the Slough site) it was originally designed as a research instrument, and is therefore much more flexible. Improvements in the receiver sensitivity mean that quality data can be obtained from a pulse of just 300 W, generated by a solid state MOSFET. The transmitter antenna consists of a 'crossed delta'; two orthogonal triangles with a vertical apex at a height of 27m and with a base 50m across. The receiver is a phased array of four crossed loop antennas five feet in diameter. Three of the aerials are positioned on the vertices of an equilateral triangle with 60m sides, the fourth is in the centre of the triangle.\r\nAs the receivers form an array, it is possible to infer much more information from the return echo. As well as frequency and virtual height, the DPS can determine the polarisation, Doppler shift, and direction of arrival of each echo in a sounding. This is invaluable when trying to separate oblique signals from those of interest in regular soundings, i.e. those from directly above the sounder. The DPS analyses the return data using a 486 PC and writes the results to magnetic tape.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:28", "updateFrequency": "", "dataLineage": "needed", "removedDataReason": "", "keywords": "Ionosonde", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 495, "bboxName": "", "eastBoundLongitude": 20.0, "westBoundLongitude": -10.0, "southBoundLatitude": 40.0, "northBoundLatitude": 61.0 }, "verticalExtent": null, "result_field": { "ob_id": 19792, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "tape" }, "timePeriod": { "ob_id": 3043, "startTime": "1988-01-01T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 39460, 39463, 39459, 39461, 39464, 39465, 39466, 39462 ], "onlineresource_set": [ 15716 ] }, { "ob_id": 10955, "uuid": "f2bd3cf541b24177bfc33dc0dc48695d", "title": "Scaled paper Ionosonde Data Bulletins", "abstract": "Paper bulletins of hourly scaled ionosonde data from about 200 ionosonde observation stations worldwide, from 1931 to the present day for UK sites and from 1957 to late 1980s/1990s for all data centres. These are a derived product produced from the paper ionograms (see row 4).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:28", "updateFrequency": "asNeeded", "dataLineage": "Data are collated by the UK Solar System Data Centre as part of its role as a World Data Centre (WDC)", "removedDataReason": "", "keywords": "Ionosonde, bulletins", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": null, "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": 19671, "dataPath": "http://www.ukssdc.ac.uk/cgi-bin/wdcc1/secure/iono_availability.pl", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "UKSSDC database" }, "timePeriod": { "ob_id": 3044, "startTime": "1930-01-01T00:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. The result is displayed in the form of an ionogram, a graph of reflection height (actually time between transmission and reception of pulse) versus carrier frequency.\r\n\r\nThis dataset collection contains ionosonde data from the UKSSDC:\r\n-Ionosonde station data\r\n-Raw Data from Digital Ionosondes for COST-271 Action Effects of the Upper Atmosphere on Terrestrial and Earth-Space Communications\r\n-Bulletins\r\n-Raw Digital Ionosonde Data Tapes\r\n-Digitised bulletins\r\n-Digitised films\r\n-Scanned version of paper ionograms\r\n-Scaled paper Ionosonde Data Bulletins" } ], "responsiblepartyinfo_set": [ 39476, 39475, 39477, 39482, 39479, 39480, 39481, 39478 ], "onlineresource_set": [ 15711, 15712, 15713 ] }, { "ob_id": 10957, "uuid": "ab9bf1524e134398b693f09b5199412b", "title": "Relative Ionospheric Opacity METER (RIOMETER) chart recorder traces from Northern Europe Observatories (1975-1995)", "abstract": "The UK Solar System Data Centre (UKSSDC) stores a collection of RIOMETER traces in physical rolls of paper. These data were produced at various stations in Northern Europe, during the time period 1975-1995.\r\n\r\nA RIOMETER (Relative Ionospheric Opacity Meter) is an instrument used to quantify the amount of electromagnetic wave ionospheric absorption in the atmosphere. As the name implies, a riometer measures the \"opacity\" of the ionosphere to radio noise emanating from distant stars and galaxies.\r\n\r\nIn the absence of any ionospheric absorption (i.e. no outbursts from the sun, no ionospheric disturbances, and no interference from terrestrial sources), this radio noise, averaged over a sufficiently long period of time, forms a Quiet-Day Curve (QDC). Increased ionization in the ionosphere will cause absorption of radio signals (both terrestrial and extraterrestrial), and a departure from the quiet-day curve. The difference between the quiet-day curve and the riometer signal is an indicator of the amount of absorption, and is measured in decibels. Riometers are generally passive radio antenna operating in the VHF radio frequency range (~30 MHz).\r\n\r\nRiometers are used to study the ionospheric D region (60 km to 90 km above the surface of the Earth) by measuring radio wave absorption. The smooth drop in radio energy from dawn to noon and the increase from noon to dusk is well-understood in terms of the sun’s ionizing effect on the D region and the radio wave absorption that results. However, the depth of daytime absorption varies considerably, especially in the winter. This variation is believed to be caused by changes in the chemical composition of the D region, which are in turn due to winds blowing between high and middle latitudes. This process is not fully understood, so observing absorption and comparing it to other measurements may yield clues to what is happening in this part of the atmosphere.\r\n\r\nRiometers also show the impact of solar flares and charged particles on the D region. These effects are related to solar and geomagnetic disturbances, and are of interest in the study of space weather. Space weather effects at midlatitudes are rather poorly understood.\r\n\r\nObservations of normal D region absorption and solar flares are limited to daytime hours. Absorption due to particle precipitation can occur at night in conjunction with auroral disturbances, but these events are most common at high latitudes. At midlatitudes, auroral absorption may only occur a few times each year, depending on the latitude and the current progress of the 11-year solar sunspot cycle.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:29", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "Sun spot, riometer", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "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": 19767, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Paper" }, "timePeriod": { "ob_id": 3045, "startTime": "1975-01-01T00:00:00", "endTime": "1995-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19814, "uuid": "4a906c5b950845fe94d97fc9e9ef5ad8", "short_code": "proj", "title": "Lancaster University PPCAR", "abstract": "Lancaster University collated these physical archives from various sources under PPCAR project. That came to an end and then transferred physical archive to UKSSDC for long term archive." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." }, { "ob_id": 10956, "uuid": "b2b9c7a62c6c884dae2749dea602ce25", "short_code": "coll", "title": "Relative Ionospheric Opacity METER (RIOMETER) chart recorder traces from Northern Europe Observatories (1975-1995)", "abstract": "The UK Solar System Data Centre (UKSSDC) stores a collection of RIOMETER traces in physical rolls of paper. These data were produced at various stations in Northern Europe, during the time period 1975-1995.\r\n\r\nA RIOMETER (Relative Ionospheric Opacity Meter) is an instrument used to quantify the amount of electromagnetic wave ionospheric absorption in the atmosphere. As the name implies, a riometer measures the \"opacity\" of the ionosphere to radio noise emanating from distant stars and galaxies.\r\n\r\nIn the absence of any ionospheric absorption (i.e. no outbursts from the sun, no ionospheric disturbances, and no interference from terrestrial sources), this radio noise, averaged over a sufficiently long period of time, forms a Quiet-Day Curve (QDC). Increased ionization in the ionosphere will cause absorption of radio signals (both terrestrial and extraterrestrial), and a departure from the quiet-day curve. The difference between the quiet-day curve and the riometer signal is an indicator of the amount of absorption, and is measured in decibels. Riometers are generally passive radio antenna operating in the VHF radio frequency range (~30 MHz).\r\n\r\nRiometers are used to study the ionospheric D region (60 km to 90 km above the surface of the Earth) by measuring radio wave absorption. The smooth drop in radio energy from dawn to noon and the increase from noon to dusk is well-understood in terms of the sun’s ionizing effect on the D region and the radio wave absorption that results. However, the depth of daytime absorption varies considerably, especially in the winter. This variation is believed to be caused by changes in the chemical composition of the D region, which are in turn due to winds blowing between high and middle latitudes. This process is not fully understood, so observing absorption and comparing it to other measurements may yield clues to what is happening in this part of the atmosphere.\r\n\r\nRiometers also show the impact of solar flares and charged particles on the D region. These effects are related to solar and geomagnetic disturbances, and are of interest in the study of space weather. Space weather effects at midlatitudes are rather poorly understood.\r\n\r\nObservations of normal D region absorption and solar flares are limited to daytime hours. Absorption due to particle precipitation can occur at night in conjunction with auroral disturbances, but these events are most common at high latitudes. At midlatitudes, auroral absorption may only occur a few times each year, depending on the latitude and the current progress of the 11-year solar sunspot cycle.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 39492, 39490, 39491, 39494, 39495, 39496, 74823, 39493 ], "onlineresource_set": [ 15715, 15714 ] }, { "ob_id": 10959, "uuid": "8e0b3004ed5a4b45b7b0538347b5c85a", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE): Paper plots data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset contains summary paper plots of data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA\r\n\r\nFor access of these data contact the UKSSDC.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:29", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "AMPTE, spacecraft, sun", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19750, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "Paper" }, "timePeriod": { "ob_id": 3046, "startTime": "1984-08-15T23:00:00", "endTime": "1986-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19803, "uuid": "f6e2da134d084f6884f2e436dfb50730", "short_code": "proj", "title": "AMPTE (Active Magnetospheric Particle Tracer Explorers)", "abstract": "The AMPTE (Active Magnetospheric Particle Tracer Explorers) mission was designed to study the access of solar-wind ions to the magnetosphere, the convective-diffusive transport and energization of magnetospheric particles, and the interactions of plasmas in space. The mission consisted of three spacecraft: the CCE; the IRM, which provided multiple ion releases in the solar wind, the magnetosheath, and the magnetotail, with in situ diagnostics of each; and the UKS, which uses thrusters to keep station near the IRM to provide two-point local measurements. The CCE (Charge Composition Explorer) spacecraft was instrumented to detect those lithium and barium tracer ions from the IRM releases that were transported into the magnetosphere within the CCE orbit. The spacecraft was spin-stabilized at 10 rpm, with its spin axis in the equatorial plane, and offset from the earth-sun line by about 20 deg. It could adjust attitude with both magnetic torquing and cold gas thrusters. The CCE used a 2.E8-bit tape recorder and redundant 2.5-W S-band transponders. The spacecraft battery was charged by a 140-W solar array. " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10958, "uuid": "0e4f8c7a20b016c76a87feb229db2767", "short_code": "coll", "title": "Active Magnetospheric Particle Tracer Explorers (AMPTE) data", "abstract": "Active Magnetospheric Particle Tracer Explorer (AMPTE) was a three spacecraft mission, a collaboration between Germany, the UK and the USA. \r\n\r\nThis dataset collection contains summary plots of data collected by two of the three spacecraft: the Ion Release Module (IRM), supplied by Germany, and the Charge Composition Explorer (CCE), supplied by the USA.\r\n\r\nOn board the IRM: \r\n- Magnetometer \r\n- Plasma instrument: measures ion and electron distributions \r\n- Plasma wave spectrometer: measures electric fields \r\n- Ion time-of-flight spectrometer: measures charge and mass of all major ions \r\nOn board the CCE: \r\n- CHEM (CHarge Energy Mass): measures mass and charge-state compositions as well as energy spectra and pitch-angle distributions \r\n- HPCE (Hot-Plasma Composition Experiment): includes an ion-mass spectrometer and electron background-environment monitor \r\n\r\nSummary plots are lower resolution than capable by the instruments and generally noisy. These are useful for an overview of datum, in order to find interesting events.\r\n\r\nFor access of these data please contact UKSSDC." }, { "ob_id": 19772, "uuid": "e0ef6223c51544e1a6cc6e5e3a472f06", "short_code": "coll", "title": "UK Solar System Data Centre (UKSSDC) physical archive collection", "abstract": "This dataset collection covers the physical archive of solar wind measurements held by the UK Solar System Data Centre (UKSSDC) from a variety of historical sources, including various satellite and ground-based instrumentation.\r\n\r\nFor access to these data please contact the UKSSDC." } ], "responsiblepartyinfo_set": [ 39506, 39504, 39505, 39508, 39509, 39510, 74816, 39507 ], "onlineresource_set": [] }, { "ob_id": 10961, "uuid": "8470f33ae7fb49baa9b585812c6d89ea", "title": "European Incoherent Scatter Scientific Association (EISCAT) data", "abstract": "Packaged raw data from European Incoherent Scatter Scientific Association (EISCAT). If you require this data please contact the UK EISCAT Support Group directly. https://www.eiscat.rl.ac.uk/.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-09-11T13:13:01", "updateFrequency": "irregular", "dataLineage": "This data is a copy of the raw data from the official EISCAT data repository. It is principally a backup. The data was copied and packaged by UKSSDC staff.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2021-09-15T13:27:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2830, "bboxName": "", "eastBoundLongitude": 27.0, "westBoundLongitude": 18.0, "southBoundLatitude": 65.0, "northBoundLatitude": 80.0 }, "verticalExtent": { "ob_id": 42, "highestLevelBound": 2000.0, "lowestLevelBound": 50.0, "units": "km" }, "result_field": { "ob_id": 33080, "dataPath": "/badc/eiscat", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 72204269254075, "numberOfFiles": 10971, "fileFormat": "unknown." }, "timePeriod": { "ob_id": 3047, "startTime": "1981-07-31T23:00:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10960, "uuid": "00eefd637889f9422c445e8ff7b2a971", "short_code": "coll", "title": "European Incoherent Scatter Scientific Association (EISCAT) data", "abstract": "Complete data from the EISCAT (European Incoherent Scatter) Scientific Association in northern Scandinavia. From 1981 onwards." } ], "responsiblepartyinfo_set": [ 39520, 39518, 39519, 39522, 39523, 39524, 39521, 204618 ], "onlineresource_set": [ 43392, 43391 ] }, { "ob_id": 10963, "uuid": "4f1777eefb514ab9a9b293e4cc0dda0c", "title": "Cluster/Ground-Based Data Centre - Auroral Oval Indicators", "abstract": "This dataset collection contains plots of three new Auroral Activity Indicators. These indicators are calculated similarly to the existing AL index, however, they are specific to three separate latitudes: the contracted oval (75 magnetic latitude), the standard oval (65 magnetic latitude) and the expanded oval (55 magnetic latitude).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:29", "updateFrequency": "", "dataLineage": "needed", "removedDataReason": "", "keywords": "Auroral Oval Indicators", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 19753, "dataPath": "http://www.ukssdc.ac.uk/gbdc/auroral-ovals.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Plots" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10962, "uuid": "9c91a482379d4e45d44fb77b43a4365d", "short_code": "coll", "title": "Cluster/Ground-Based Data Centre - Auroral Oval Indicators", "abstract": "This dataset collection contains plots of three new Auroral Activity Indicators. These indicators are calculated similarly to the existing AL index, however, they are specific to three separate latitudes: the contracted oval (75 magnetic latitude), the standard oval (65 magnetic latitude) and the expanded oval (55 magnetic latitude).\r\n\r\nRecordings of three new auroral activity indicators. These indicators are calculated in a manner similar to the existing AL index*: specifically, an indicator is derived by superimposing the horizontal component of the magnetometer traces from the participating stations, and taking the lower envelope. Thus a lower bound for the horizontal component is determined. \r\nUnlike the AL index, however, these indices are specific to latitude. Data is taken from contributing stations on three latitudes, thus creating three auroral activity indicators: \r\n- Contracted oval (~75 Magnetic Latitude) \r\n- Standard oval (~65 magnetic latitude) \r\n- Expanded oval (~55 magnetic latitude) \r\n\r\n* The Auroral Electrojet (AE) index is the difference between the lower and upper envelopes of the horizontal component of the Earth's magnetic field, taken from a number of stations and superimposed. The lower envelope is called the AL index, and the upper the AU index." } ], "responsiblepartyinfo_set": [ 39534, 39532, 39533, 39536, 39537, 39538, 39535 ], "onlineresource_set": [] }, { "ob_id": 10965, "uuid": "23ca9f2b5ed244ed931dd19566e04aac", "title": "Ionogram Images and other Ionospheric Data Paper Images", "abstract": "An ionogram is a display of the data produced by an ionosonde. It is a graph of the virtual height of the ionosphere plotted against frequency. Ionograms are often converted into electron density profiles. Data from ionograms may be used to measure changes in the Earth's ionosphere due to space weather events.\r\n\r\nIonogram images on various media, mainly film negatives and paper positives. Data from a worldwide network of stations from the 1930s to 1990s.\r\n\r\nOther ionospheric data on 35mm film negatives, including absorption, drift, noise, whistlers and electron density profiles, from up to 54 stations, between 1957 and 1983.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:29", "updateFrequency": "notPlanned", "dataLineage": "needed", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "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": 19790, "dataPath": "http://www.ukssdc.ac.uk/contact.html", "oldDataPath": [], "storageLocation": "external", "storageStatus": "offline", "volume": 0, "numberOfFiles": 0, "fileFormat": "paper" }, "timePeriod": { "ob_id": 3048, "startTime": "1931-01-01T00:00:00", "endTime": "1999-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19806, "uuid": "5221e29d9716475a966be092df78509f", "short_code": "proj", "title": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton", "abstract": "Ionosonde World Data Centre for Solar-Terrestrial Physics, Chilton" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10944, "uuid": "fd29fddff00f0b0e7b7dd2e54d9c56cf", "short_code": "coll", "title": "Ionosonde: ionograms, films, reports", "abstract": "An ionosonde is a special radar for the examination of the ionosphere. The transmitter sweeps all or part of the HF frequency range, transmitting short pulses. These pulses are reflected at various layers of the ionosphere, at heights of 100–400 km, and their echos are received by the receiver and analyzed by the control system. 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A copy of these data were then delivered by the Met Office to CEDA for archiving.", "removedDataReason": "", "keywords": "Met Office, lidar, ceilometer, ash", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-07-28T13:42:37", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 511, "bboxName": "Aberporth airfield", "eastBoundLongitude": -4.559444, "westBoundLongitude": -4.559444, "southBoundLatitude": 52.114722, "northBoundLatitude": 52.114722 }, "verticalExtent": null, "result_field": { "ob_id": 12428, "dataPath": "/badc/ukmo-lidarnet/data/aberporth/jenoptick-chm15k-nimbus", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 175777370252, "numberOfFiles": 345294, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 3345, "startTime": "2015-07-13T08:45:00", "endTime": null }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12438, "uuid": "158430009b3f4f72beeef0e69cb39985", "short_code": "acq", "title": "Aberporth Jenoptick Lidar", "abstract": "Met Office Jenoptick CHM15K Nimbus Celiometer" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 12429, "uuid": "9124ac0ba62d4c87990e0d5cd5c38f92", "short_code": "proj", "title": "Met Office LIDARNET system", "abstract": "Met Office operate a network of ceilometers from which they obtain both cloud base and backscatter information." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50542, 50543, 53051, 53054, 53056, 53058, 53060, 53061, 53064, 53066, 53067, 53068, 54038, 54039, 54040, 54041, 54042, 54044, 54045, 54046, 54047, 54048, 54049, 54050, 54051, 54052, 54053, 54054, 54055, 54056, 54057, 54058, 54059, 54060, 81074, 83089 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10994, "uuid": "38a6e76871fca4c58d0f831e532bff41", "short_code": "coll", "title": "Met Office LIDARNET ceilometer network cloud base and backscatter data", "abstract": "Data from the Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. 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In addition, this dataset also contains data from the development ceilometers operated by the Met Office." } ], "responsiblepartyinfo_set": [ 39651, 39649, 39650, 39654, 39655, 39653, 47502, 39652 ], "onlineresource_set": [ 5873, 15797 ] }, { "ob_id": 10999, "uuid": "0c0458b606fa47ac82dc10518659f11e", "title": "Dummy dataset for: Data from the Chemistry Climate Model Validation Activity 2 (CCMVal-2)", "abstract": "", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:19:33.339000", "updateFrequency": "notPlanned", "dataLineage": "", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "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": null, "timePeriod": { "ob_id": 3056, "startTime": "1960-01-01T00:00:00", "endTime": "2100-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10998, "uuid": "3723592aadb362e4138750708d27f8fe", "short_code": "coll", "title": "CCMVal-2 (Chemistry Climate Model Validation Activity 2) coupled chemistry climate models outputs", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. \r\n\r\nThis dataset collection contains atmospheric chemical model feedback from research centres around the world.\r\n\r\nCCMVal was part of the World Climate Research Programme's (WCRP), which mission is to facilitate analysis and prediction of Earth system variability and change for use in an increasing range of practical applications of direct relevance, benefit and value to society. \r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.\r\n" } ], "responsiblepartyinfo_set": [ 39697, 39698, 39699, 39702, 39703, 39704, 39705, 39700, 39701, 54745 ], "onlineresource_set": [] }, { "ob_id": 11006, "uuid": "916986a220e6bad55411d9407ade347c", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20\r\n\r\nPlease note that this dataset has now been superseded by the version 1.1 product, available from http://catalogue.ceda.ac.uk/uuid/c65ce27928f34ebd92224c451c2a8bed", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-11-25T18:25:32", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to NEODC by the UK Met Office.", "removedDataReason": "", "keywords": "SST CCI", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2014-06-26T12:13:16", "doiPublishedTime": "2014-02-24T00:00:00", "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": 11007, "dataPath": "/neodc/esacci/sst/data/lt/Analysis/L4/v01.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 101594117434, "numberOfFiles": 7063, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n<p>\r\nThe Analysis Product consists of daily, spatially complete fields of SST, obtained by combining the orbit\r\ndata from the AVHRR (Advanced Very High Resolution Radiometer) and ATSR (Along Track Scanning Radiometer) Long Term products, using optimal interpolation to provide SSTs where\r\nthere were no measurements (a single file per day; 0.05&#176; regular latitude-\r\nlongitude grid). These data start in September 1991.\r\nThe SSTs correspond approximately to the daily average of the temperature\r\nof the water at 20 cm depth. Uncertainty estimates are provided for\r\neach value.\r\n</p><p>\r\nThe data are stored in NetCDF-4 format files. Data arrays in NetCDF files are\r\nknown as &#8216;variables&#8217; and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available <a href=\"http://www.esa-sst-cci.org/PUG/documents.htm\">here</a> before using the data. There is also a Quick Start Guide <a href=\"http://cedadocs.badc.rl.ac.uk/959/1/SST_CCI-QuickStartGuide-Issue-1.pdf\">here</a>.\r\n</p><p>\r\nAccess to the ESA SST CCI Analysis long term product is available through our data browser <a href=\"http://neodc.nerc.ac.uk/browse/neodc/esacci_sst/data/lt/Analysis\">here</a> or via <a href=\"ftp://ftp.ceda.ac.uk\">ftp</a> at /neodc/esacci_sst/data/lt/Analysis \r\n</p><p>\r\n\r\n\r\n</p></div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 3057, "startTime": "1991-09-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2843, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11010, "uuid": "2d125dda9d6e44ed804191a3b7b41bc5", "short_code": "comp", "title": "CCI SST Processor", "abstract": "This computation involved: CCI SST Processor. This processor was developed in the ESA Climate Change Initiative, Sea Surface Temperature Project" }, "procedureCompositeProcess": null, "imageDetails": [ 137 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2556, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 28, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "short_code": "proj", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6814, 6816, 9567, 9569, 9580, 9797, 11955, 11956, 11957, 11958, 11959 ], "vocabularyKeywords": [ { "ob_id": 10325, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_ostia", "resolvedTerm": "OSTIA" }, { "ob_id": 10215, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_day", "resolvedTerm": "day" }, { "ob_id": 10473, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_12", "resolvedTerm": "NOAA-12" }, { "ob_id": 10365, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_ers", "resolvedTerm": "ERS" }, { "ob_id": 10433, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_15", "resolvedTerm": "NOAA-15" }, { "ob_id": 10362, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" }, { "ob_id": 10184, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_envisat", "resolvedTerm": "Envisat" }, { "ob_id": 10245, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_aatsr", "resolvedTerm": "AATSR" }, { "ob_id": 10155, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_atsr", "resolvedTerm": "ATSR" }, { "ob_id": 10285, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_ers1", "resolvedTerm": "ERS-1" }, { "ob_id": 10281, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_ers2", "resolvedTerm": "ERS-2" }, { "ob_id": 10390, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_noaa_4th", "resolvedTerm": "NOAA-4th" }, { "ob_id": 10467, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_noaa_5th", "resolvedTerm": "NOAA-5th" }, { "ob_id": 10248, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_avhrr", "resolvedTerm": "AVHRR" }, { "ob_id": 10205, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_metOpA", "resolvedTerm": "Metop-A" }, { "ob_id": 10394, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_18", "resolvedTerm": "NOAA-18" }, { "ob_id": 10203, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10421, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_16", "resolvedTerm": "NOAA-16" }, { "ob_id": 10469, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_envisat_prog", "resolvedTerm": "Environmental Satellite" }, { "ob_id": 10192, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level4", "resolvedTerm": "Level 4" }, { "ob_id": 10391, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_14", "resolvedTerm": "NOAA-14" }, { "ob_id": 10204, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sstDepth", "resolvedTerm": "sea water temperature" }, { "ob_id": 10495, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_noaa_17", "resolvedTerm": "NOAA-17" }, { "ob_id": 10493, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_metop", "resolvedTerm": "Metop" } ], "identifier_set": [ 7345, 7346 ], "observationcollection_set": [ { "ob_id": 11005, "uuid": "1dc189bbf94209b48ed446c0e9a078af", "short_code": "coll", "title": "Collection of Sea Surface Temperature (SST) Data of the Global Oceans as part of the ESA Climate Change Initiative (CCI)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page." }, { "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": [ 39737, 39731, 39733, 39734, 39735, 44909, 44920, 39732, 44910, 44911, 44912, 44913, 44914, 44915, 44916, 44917, 44918 ], "onlineresource_set": [ 4984, 4985, 4986, 5043, 5045, 4982, 14985, 15815, 16451, 5044 ] }, { "ob_id": 11011, "uuid": "da85154480423eda8e8022d499abcc06", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Advanced Very High Resolution Radiometer (AVHRR) level 2 pre-processed (L2P) long term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI AVHRR (Advanced Very High Resolution Radiometer) Long Term Product consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 12/2010. The L2P data product provide these SST observations in the satellite swath.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:02:06", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to NEODC by the UK Met Office.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2014-06-26T12:09:28", "doiPublishedTime": "2014-02-24T00:00:00", "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": 11012, "dataPath": "/neodc/esacci/sst/data/lt/AVHRR", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1967588503701, "numberOfFiles": 201284, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nThe L2P Data from the series of Advanced Very High Resolution Radiometer (AVHRR) sensors consist of a single orbit per file on an irregular grid with grid cell spacing about 4 km. These start in September 1991. Each file contains two sets of SSTs. The first set provides a measure of the temperature of the skin of the water at the time it was observed; the second set are estimates of the temperature at 20 cm depth and at either 1030 h or 2230 h local time. Each SST has associated with it a total uncertainty estimate, and uncertainty estimates for various contributions to that total uncertainty.\n</p><p> \nThe data are stored in NetCDF-4 format files. Data arrays in NetCDF files are\nknown as &#8216;variables&#8217; and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available <a href=\"http://www.esa-sst-cci.org/PUG/documents.htm\">here</a> before using the data. There is also a Quick Start Guide <a href=\"http://cedadocs.badc.rl.ac.uk/959/1/SST_CCI-QuickStartGuide-Issue-1.pdf\">here</a>.\n</p><p>\nAccess to the ESA SST CCI AVHRR L2P long term product is available through our data browser <a href=\"http://neodc.nerc.ac.uk/browse/neodc/esacci_sst/data/lt/AVHRR\"> here</a> or via <a href=\"ftp://ftp.ceda.ac.uk\">ftp</a> at /neodc/esacci_sst/data/lt/AVHRR\n</p><p>\n\n\n</p></div>\n\n\n" }, "timePeriod": { "ob_id": 3058, "startTime": "1991-08-31T23:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2844, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11013, "uuid": "ccf01b1486ff4bc8ab00fe343ab36ccf", "short_code": "comp", "title": "CCI SST Processor", "abstract": "This computation involved: CCI SST Processor." }, "procedureCompositeProcess": null, "imageDetails": [ 137 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2556, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 28, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "short_code": "proj", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52527, 52529, 52531, 52533, 52535, 52536, 52539, 52542, 52543, 52545, 52547, 57985, 57986, 57987, 57989, 59095 ], "vocabularyKeywords": [ { "ob_id": 10337, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sstInt", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10673, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10651, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/dataType/dtype_sstInt", "resolvedTerm": "sea surface temperature" }, { "ob_id": 6562, "vocabService": "nerc_skos_vocab", "uri": "http://vocab.nerc.ac.uk/collection/P07/current/CFSN0381/", "resolvedTerm": "sea_surface_temperature" }, { "ob_id": 10761, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" }, { "ob_id": 10203, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10362, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" } ], "identifier_set": [ 7353, 7354 ], "observationcollection_set": [ { "ob_id": 11005, "uuid": "1dc189bbf94209b48ed446c0e9a078af", "short_code": "coll", "title": "Collection of Sea Surface Temperature (SST) Data of the Global Oceans as part of the ESA Climate Change Initiative (CCI)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page." }, { "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": [ 39743, 39746, 39747, 39749, 44885, 44896, 39745, 39744, 44886, 44887, 44888, 44889, 44890, 44891, 44892, 44893, 44894 ], "onlineresource_set": [ 4994, 4995, 4996, 4997, 5039, 5041, 5040, 14984, 15816, 16446 ] }, { "ob_id": 11014, "uuid": "2608443849391d2513d903482a19f206", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Along-Track Scanning Radiometer (ATSR) level 3 uncollated data (L3U) long-term product version 1.0", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\nThe ESA SST CCI ATSR (Along-Track Scanning Radiometer) Long Term Product Version 1.0 consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 12/2010. The L3U data product provides these SST data regridded onto a global longitude-latitude grid.\r\n\r\nPlease note, the version 1.0 data described here has now been superseded by the version 1.1 data product as described in Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-01-27T05:37:53", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to NEODC by the UK Met Office.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2014-06-26T12:12:02", "doiPublishedTime": "2014-02-24T00:00:00", "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": 11015, "dataPath": "/neodc/esacci/sst/data/lt/ATSR/L3U/v01.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 664012469662, "numberOfFiles": 99926, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nThe L3U (Level 3 Uncollated) data from the series of Along Track Scanning Radiometer (ATSR) sensors consists of a single orbit per file on a 0.05&#176; regular latitude-longitude grid. These start in August 1991.</p><p>\nEach file contains two sets of SSTs. The first set provides a measure of the temperature of the skin of the water at the time it was observed; the\nsecond set are estimates of the temperature at 20 cm depth and at either 1030 h or 2230 h local time. Each SST has associated with it a total uncertainty estimate, and uncertainty estimates for various contributions to that total uncertainty.\n</p>\n<p>\nThe data are stored in NetCDF-4 format files. Data arrays in NetCDF files are known as &#8216;variables&#8217; and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available <a href=\"http://www.esa-sst-cci.org/PUG/documents.htm\">here</a> before using the data. There is also a Quick Start Guide <a href=\"http://cedadocs.badc.rl.ac.uk/959/1/SST_CCI-QuickStartGuide-Issue-1.pdf\">here</a>.\n</p>\n<p>\nAccess to the ESA SST CCI ATSR L3U long term product is available through our data browser <a href=\"http://neodc.nerc.ac.uk/browse/neodc/esacci_sst/data/lt/ATSR/L3U/v01.0\">here</a> or via <a href=\"ftp://ftp.ceda.ac.uk\">ftp</a> at /neodc/esacci_sst/data/lt/ATSR/L3U/v01.0\n</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 3059, "startTime": "1991-07-31T23:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2845, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11013, "uuid": "ccf01b1486ff4bc8ab00fe343ab36ccf", "short_code": "comp", "title": "CCI SST Processor", "abstract": "This computation involved: CCI SST Processor." }, "procedureCompositeProcess": null, "imageDetails": [ 137 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2556, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 28, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "short_code": "proj", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6814, 6816, 9545, 9564, 9566, 9567, 9569, 9572, 9573, 9576, 9579, 9580, 9583, 9796, 9797, 9798, 9799, 9800, 9801 ], "vocabularyKeywords": [ { "ob_id": 10318, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level3U", "resolvedTerm": "Level 3U" }, { "ob_id": 10531, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_atsr2", "resolvedTerm": "ATSR2" }, { "ob_id": 10181, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level3", "resolvedTerm": "Level 3" }, { "ob_id": 10406, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_atsr2", "resolvedTerm": "ATSR-2" }, { "ob_id": 10197, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sstSkin", "resolvedTerm": "sea surface skin temperature" }, { "ob_id": 10281, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_ers2", "resolvedTerm": "ERS-2" }, { "ob_id": 10203, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10365, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_ers", "resolvedTerm": "ERS" }, { "ob_id": 10346, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_sec", "resolvedTerm": "second" }, { "ob_id": 10362, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" } ], "identifier_set": [ 7357, 7358 ], "observationcollection_set": [ { "ob_id": 11005, "uuid": "1dc189bbf94209b48ed446c0e9a078af", "short_code": "coll", "title": "Collection of Sea Surface Temperature (SST) Data of the Global Oceans as part of the ESA Climate Change Initiative (CCI)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page." }, { "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": [ 39752, 39754, 39755, 39756, 39758, 44958, 44969, 39753, 44959, 44960, 44961, 44962, 44963, 44964, 44965, 44966, 44967 ], "onlineresource_set": [ 5000, 5046, 5048, 5002, 5003, 5047, 5049, 14983, 15817, 16447, 5005 ] }, { "ob_id": 11016, "uuid": "5a807d9ebb2d67b5472624e9639253a9", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Along-Track Scanning Radiometer (ATSR) level 3 uncollated data (L3U) long-term product version 1.1", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\nThe ESA SST CCI ATSR (Along-Track Scanning Radiometer) Long Term Product version 1.1 consists of stable, low-bias sea surface temperature (SST) data covering the period 08/1991 - 04/2012. The L3U data product provides these SST data regridded onto a global longitude-latitude grid.\r\n\r\nThe version 1.1 data is an update to the version 1.0 dataset.\r\n\r\nThis dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:01:50", "updateFrequency": "notPlanned", "dataLineage": "Data were processed and supplied to the NEODC by the ESA CCI SST project team.", "removedDataReason": "", "keywords": "", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2014-05-13T15:33:23", "doiPublishedTime": "2014-05-29T23:00:00", "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": 11017, "dataPath": "/neodc/esacci/sst/data/lt/ATSR/L3U/v01.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 126009813982, "numberOfFiles": 107128, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\n\nThe L3U (Level 3 Uncollated) data from the series of Along Track Scanning Radiometer (ATSR) sensors consists of a single orbit per file on a 0.05&#176; regular latitude-longitude grid. These start in August 1991.\nEach file contains two sets of SSTs. The first set provides a measure of\nthe temperature of the skin of the water at the time it was observed; the\nsecond set are estimates of the temperature at 20 cm depth and at either\n1030 h or 2230 h local time. Each SST has associated with it a total uncertainty\nestimate, and uncertainty estimates for various contributions to\nthat total uncertainty.\n</p><p>\n\nThe data are stored in NetCDF-4 format files. Data arrays in NetCDF files are\nknown as &#8216;variables&#8217; and each variable has metadata stored with it. Please read the ESA CCI SST Product User Guide, available <a href=\"http://www.esa-sst-cci.org/PUG/documents.htm\">here</a> before using the data. There is also a Quick Start Guide <a href=\"http://cedadocs.badc.rl.ac.uk/959/1/SST_CCI-QuickStartGuide-Issue-1.pdf\">here</a>.\n</p><p>\nAccess to the ESA SST CCI ATSR L3U long term product is available through our data browser <a href=\"http://neodc.nerc.ac.uk/browse/neodc/esacci_sst/data/lt/ATSR/L3U/v01.1\">here</a> or via <a href=\"ftp://ftp.ceda.ac.uk\">ftp</a> at /neodc/esacci_sst/data/lt/ATSR/L3U/v01.1\n</p><p>\n\n\n</p></div>\n\n\n" }, "timePeriod": { "ob_id": 3060, "startTime": "1991-07-31T23:00:00", "endTime": "2012-04-07T23:00:00" }, "resultQuality": { "ob_id": 2846, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11013, "uuid": "ccf01b1486ff4bc8ab00fe343ab36ccf", "short_code": "comp", "title": "CCI SST Processor", "abstract": "This computation involved: CCI SST Processor." }, "procedureCompositeProcess": null, "imageDetails": [ 137 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2556, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 28, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "short_code": "proj", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50415, 50417, 52527, 52529, 52530, 52532, 52535, 52536, 52539, 52542, 52543, 52545, 52547, 57985, 57986, 57987, 57989, 59095, 59109 ], "vocabularyKeywords": [ { "ob_id": 11076, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_aatsr", "resolvedTerm": "AATSR" }, { "ob_id": 11087, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_atsr", "resolvedTerm": "ATSR" }, { "ob_id": 11088, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_atsr2", "resolvedTerm": "ATSR-2" }, { "ob_id": 10531, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_atsr2", "resolvedTerm": "ATSR2" }, { "ob_id": 10673, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10652, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/dataType/dtype_sstSkin", "resolvedTerm": "sea surface skin temperature" }, { "ob_id": 10555, "vocabService": "nerc_skos_vocab", "uri": "http://vocab.nerc.ac.uk/collection/L22/current/TOOL1061/", "resolvedTerm": "Advanced Along-Track Scanning Radiometer" }, { "ob_id": 10365, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_ers", "resolvedTerm": "ERS" }, { "ob_id": 10346, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_sec", "resolvedTerm": "second" }, { "ob_id": 10558, "vocabService": "nerc_skos_vocab", "uri": "http://vocab.nerc.ac.uk/collection/L22/current/TOOL1073/", "resolvedTerm": "Along Track Scanning Radiometer - 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1" }, { "ob_id": 10203, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10469, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_envisat_prog", "resolvedTerm": "Environmental Satellite" }, { "ob_id": 10684, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/freq/freq_sat_orb", "resolvedTerm": "satellite orbit frequency" }, { "ob_id": 10685, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/freq/freq_sec", "resolvedTerm": "second" }, { "ob_id": 10197, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sstSkin", "resolvedTerm": "sea surface skin temperature" }, { "ob_id": 11000, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/product/prod_atsr2", "resolvedTerm": "ATSR2" }, { "ob_id": 10984, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/procLev/proc_level3", "resolvedTerm": "Level 3" }, { "ob_id": 10987, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/procLev/proc_level3U", "resolvedTerm": "Level 3U" }, { "ob_id": 10808, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_envisat", "resolvedTerm": "Envisat" }, { "ob_id": 10809, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_ers1", "resolvedTerm": "ERS-1" }, { "ob_id": 10940, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platformProg/plat_ers", "resolvedTerm": "ERS" } ], "identifier_set": [ 7360, 7361 ], "observationcollection_set": [ { "ob_id": 11005, "uuid": "1dc189bbf94209b48ed446c0e9a078af", "short_code": "coll", "title": "Collection of Sea Surface Temperature (SST) Data of the Global Oceans as part of the ESA Climate Change Initiative (CCI)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page." }, { "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": [ 39760, 39762, 39763, 39764, 39766, 44897, 44908, 39761, 44898, 44899, 44900, 44901, 44902, 44903, 44904, 44905, 44906 ], "onlineresource_set": [ 5011, 5008, 5010, 5050, 5052, 5009, 14982, 15818, 16450, 5051 ] }, { "ob_id": 11019, "uuid": "c69013e492b4412380630ed77bee9543", "title": "Mars Analysis Correction Data Assimilation (MACDA): MGS/TES v1.0", "abstract": "This dataset contains basic gridded atmospheric and surface variables for the planet Mars over three martian years (a martian year is 1.88 terrestrial years), as produced by data assimilation of spacecraft observations. Each file in the dataset spans 30 martian mean solar days (sols) during the science mapping phase of the National Aeronautics and Space Administrations's (NASA) Mars Global Surveyor (MGS) spacecraft, between May 1999 and August 2004. The dataset is produced by the re-analysis of Thermal Emission Spectrometer (TES) retrievals of nadir thermal profiles and total dust opacities, using the Mars Analysis Correction Data Assimilation (MACDA) scheme in a Mars global circulation model (MGCM). The MGCM used is the UK spectral version of the model developed by the Laboratoire de Meteorologie Dynamique in Paris, France. MACDA is a collaboration between the University of Oxford and The Open University in the UK.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2011-11-15T02:09:28", "updateFrequency": "notPlanned", "dataLineage": "Data provided to the British Atmospheric Data Centre (BADC) by Luca Montabone in August 2011. Mars Global Surveyor/ Thermal Emission Spectrometer retrievals have been provided by Michael D. Smith (National Aeronautics and Space Administration, Goddard Space Flight Center, Greenbelt, MD, USA) to the University of Oxford in 2005.", "removedDataReason": "", "keywords": "Mars, Martian, MGCM", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2011-08-25T10:29:09", "doiPublishedTime": "2011-11-29T12:00:00", "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": 11020, "dataPath": "/badc/mgs/data/macda/v1-0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 18577504187, "numberOfFiles": 64, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\nData are freely available to all registered BADC users, subject to due credit being given to the data provider. The data themselves are held in CF-NetCDF format.<br />\n<p>The actual data can be found by following the link to the 'MACDA data directory' in the Online References section below, or going directly to http://badc.nerc.ac.uk/browse/badc/mgs/data/macda . </p><p>Once you are there, if you are already a registered BADC user, simply click on 'Logon to BADC' and use your BADC username and password. You will then be directed to the main /badc/mgs/data/macda directory from which you can download the dataset files. </p><p>If you are a new user, go first to http://badc.nerc.ac.uk/reg/user_register_info.html and register yourself to obtain a BADC username and password, then follow the steps above. </p><p>For any problem, please send an email to the contacts below or contact BADC directly (http://badc.nerc.ac.uk/help/contact.html) \n</p></div>\n\n\n" }, "timePeriod": { "ob_id": 3061, "startTime": "1999-04-30T23:00:00", "endTime": "2004-08-30T23:00:00" }, "resultQuality": { "ob_id": 2847, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 11616, "uuid": "a03c4f15272f4a31a5fcbf20f4c8867e", "short_code": "cmppr", "title": "Composite process for Mars Analysis Correction Data Assimilation (MACDA)", "abstract": "The process by which these data were produced was by a combination of an acquisition step for the data utilising the TES instrument onboard the MGS satellite around Mars and the global reanalysis carried out by the MACDA team in Oxford." }, "imageDetails": [ 140 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11610, "uuid": "bdd646b9a7d440a5a61284c92029178d", "short_code": "proj", "title": "Mars Analysis Correction Data Assimilation (MACDA)", "abstract": "The aim of the MACDA project was to produce an assimilated, consistent dataset from the observations made by the MGS/TES instrument. The project was undertaken at Oxford University, UK. On Earth, data assimilation is used in routine operational weather forecasting, primarily to produce accurate initial conditions for the forecasts. A similar technique has been applied to another planet in the Solar System: Mars. This was the goal of the Mars Analysis Correction Data Assimilation (MACDA) project. Observations of atmospheric temperature and dust opacity from the Thermal Emission Spectrometer on board NASA's Mars Global Surveyor spacecraft have been assimilated for three complete Martian years into the UK Mars Global Circulation Model. This four-dimensional 'reanalysis' allows us to study the evolution of the atmospheric state on a model grid while remaining consistent with the observations, the model, and our physical understanding. It also allows us to access variables that cannot be directly observed, such as winds and surface pressure, as the model balances the unobserved variables against the observed variables as the assimilation progresses." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 60438, 92745, 92746, 92747, 92748, 92749, 92750, 92751, 92752, 92753, 92754 ], "vocabularyKeywords": [], "identifier_set": [ 7366, 8399 ], "observationcollection_set": [ { "ob_id": 11018, "uuid": "01c44fb05fbd6e428efbd57969a11177", "short_code": "coll", "title": "Mars Analysis Correction Data Assimilation (MACDA) Data Collection", "abstract": "This dataset collection contains basic gridded atmospheric and surface variables for the planet Mars over three Martian years (a martian year is 1.88 terrestrial years), as produced by data assimilation of spacecraft observations. Each file in the dataset spans 30 martian mean solar days (sols) during the science mapping phase of the National Aeronautics and Space Administrations's (NASA) Mars Global Surveyor (MGS) spacecraft, between May 1999 and August 2004. The dataset collection was produced by the re-analysis of Thermal Emission Spectrometer (TES) retrievals of nadir thermal profiles and total dust opacities, using the Mars Analysis Correction Data Assimilation (MACDA) scheme in a Mars global circulation model (MGCM). The MGCM used the UK spectral version of the model developed by the Laboratoire de Météorologie Dynamique (LMD) in Paris, France. MACDA was a collaboration between the University of Oxford and The Open University in the UK." } ], "responsiblepartyinfo_set": [ 39778, 39777, 39780, 39781, 39782, 47507, 47510, 39779, 47508, 47509, 39783, 47511, 47512 ], "onlineresource_set": [ 5894, 5895, 5896, 89455, 89456, 89457, 89458, 89459, 89460, 89461, 87606, 87607 ] }, { "ob_id": 11021, "uuid": "504312b7a9f4e905181c8484f8a3c405", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Direct Visible Radiometer Data", "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Direct Visible Radiometer from 27th Februrary 2013 to the present at Chilbolton, Hampshire. The dataset contains measurements of high accuracy direct solar radiation measurement research on a plane/level surface.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T02:22:32", "updateFrequency": "monthly", "dataLineage": "Data are acquired by the Chilbolton Facility directly from the instrument before manual checking and release for archiving with the Centre for Environmental Data Analysis on a monthly basis.", "removedDataReason": "", "keywords": "radiometer, direct, visible, irradiance, CFARR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2003-10-01T18:37:20", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 59, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 11022, "dataPath": "/badc/chilbolton/data/radiometer-visible-direct", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 226592506, "numberOfFiles": 2120, "fileFormat": "Data are netCDF formatted. 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The main system is the 3 GHz Doppler radar (CAMRa). A supporting 94 GHz radar (Galileo) has been located close to the main dish to allow dual frequency studies of precipitating particles. The system is complemented by a 905 nm Vaisala CT75K lidar, a 355nm UV Raman Lidar, multiple raingauge and meteorological sensors. This dataset also holds attenuation time-series data from vertically polarised links from South Wonston to Sparsholt. Sparsholt meteorological sensor and raingauge data is also archived. Cloud camera data from the Chilbolton site is available for examining weather patterns." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50512, 54762, 54763, 54764, 60771, 60772 ], "vocabularyKeywords": [], "identifier_set": [ 7368 ], "observationcollection_set": [ { "ob_id": 3461, "uuid": "7cbc3fc19bfa037a48ba4cba4b93544d", "short_code": "coll", "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): surface, radar and lidar measurements (1998-present)", "abstract": "Data from observations made using Chilbolton Facility for Atmospheric and Radio Research (CFARR).The Science and Technology Facilities Council (STFC) facility at Chilbolton Observatory, Hampshire (51.1445N, 1.4270W) is the home of many observation systems for meteorological and atmospheric science research. There are 4 radar systems designed to study precipitation, clouds and clear air, of which the largest is the 3 GHz Doppler radar (CAMRa) on the 25 m dish. There are also 4 lidar systems providing data on elastic backscattering, Doppler velocity, water vapour profiles and depolarisation. A wide range of meteorological and multiple raingauge data are available from both Chilbolton and the nearby Sparsholt field site. There is a wide range of radiometers at the site: microwave (for water vapour and liquid water measurements) and downwelling infra-red and visible detectors for radiation budget measurements. This dataset holds attenuation time-series data from vertically polarised 5 km links from South Wonston to Sparsholt. Cloud camera data from the Chilbolton site are available to provide visual information on weather conditions.\r\n\r\nCFARR is funded by the Natural Environment Research Council (NERC) and is owned and operated by the Space Science and Technology Department of the STFC." }, { "ob_id": 7378, "uuid": "ac73aca8c271d8c763eef1040987be62", "short_code": "coll", "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory", "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006." }, { "ob_id": 32603, "uuid": "ea21f06880c345e0bba8862c03fdf54a", "short_code": "coll", "title": "GRACES: Collection of remote sensing and surface observations", "abstract": "Collection of datasets produced by the NERC funded GRACES (G-band RAdar for Cloud and prEcipitation Studies) project and third-party datasets utilised by the project.\r\n\r\nIn addition to 3 GHz and 94 GHz radar data collected specifically for the GRACES project at the Chilbolton Atmospheric Observatory (CAO) the project made use of standard data products from a range of surface instrumentation from the CAO site. These were augmented with the use of data from the Met Office NIMROD rain radar network for specific case studies." } ], "responsiblepartyinfo_set": [ 50819, 42055, 42058, 39789, 39785, 39787, 39788, 39786, 42056, 103969, 42057, 50820 ], "onlineresource_set": [ 7317, 7319, 7320, 7318, 7321 ] }, { "ob_id": 11070, "uuid": "9faba9794e07f15e9145cb312606f8c3", "title": "Met Office Unified Model (UM) Operational Output: Global data", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Met Office Unified Model. These data are from both the Global and the North Atlantic European (NAE) part of the model. The NAE model runs on a grid centred around the UK. Analyses and intermediate forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive only holds data to January 2012. 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This form of forecasting is known as numerical weather prediction (NWP). Numerical weather prediction (NWP) is the process of obtaining an objective forecast of the future state of the atmosphere by running a computer model. The Met Office Unified Model is run operationally, in a number of configurations, for weather forecasting at the Met Office." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1316, 1319, 1320, 1324, 1325, 2730, 2731, 2732, 2733, 2734, 2735, 2736, 2737, 2738, 2739, 2740, 2741, 2742, 2743, 2744, 2745, 2746, 2747, 2748, 2749, 2750, 2751, 2752, 2753, 2754, 2755, 2756, 2757, 2758, 2760, 2761, 2762, 2763, 2764, 2765, 2766, 2767, 2768, 2769, 2770, 2771, 2787, 2791, 2796, 2799, 2802, 2803, 2804, 2807, 2817, 2818, 2823, 2825, 2826, 2827, 2829, 2830, 2831, 2832, 2833, 2834, 2835, 2836, 2837, 2839, 2840, 2841, 2842, 2843, 2844, 2845, 2847, 2848, 2849, 2850, 2853, 2854, 2855, 2856, 2857, 2858, 2859, 2860, 2861, 2862, 2868, 2869, 2870, 2871, 2872, 2873, 2874, 2875, 2876, 2877, 2878, 2880, 2881, 2882, 2889, 2890, 2891, 2911, 2912, 2920, 2942, 2950, 2957, 2963, 2968, 2980, 2999, 3000, 3001, 3349, 3350, 3351, 3352, 3353, 3354, 3355, 3356, 7042, 8322, 9802, 9803, 9804, 9805, 9806, 9807, 9808, 9809, 9810, 9811, 9812, 9813, 9814, 9815, 9816, 9817, 9818, 9819, 9820, 9821, 9822, 9823, 9824, 9825, 9826, 9827, 9828, 9829, 9830, 9831, 9832, 9833, 12441, 25880 ], "vocabularyKeywords": [], "identifier_set": [ 7398 ], "observationcollection_set": [ { "ob_id": 7215, "uuid": "104e586395d1cc4af88f5b69d5501745", "short_code": "coll", "title": "Met Office Unified Model (UM) Operational Output (October 2000 - January 2012)", "abstract": "The Unified Model is the name given to the suite of atmospheric and oceanic numerical modelling software developed and used at the Met Office. The formulation of the model supports global and regional domains and is applicable to a wide range of temporal and spatial scales that allow it to be used for both numerical weather prediction and climate modelling as well as a variety of related research activities. The Unified Model was introduced into operational service in 1991. Since then, both its formulation and capabilities have been substantially enhanced.\r\n\r\nData from the operational NWP (Numerical Weather Prediction) output from the Met Office Unified Model. These data are from both the Global and the North Atlantic European (NAE) part of the model. The NAE model runs on a grid centred around the UK. Analyses and intermediate forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive only holds data to January 2012. A new NWP archive is being populated with data from January 2012. The dataset starts on 23 October 2000, and is ongoing. Around 1.6Gb of data are stored for each day.\r\n\r\nAnalysis fields at 0,6,12,18Z are stored, along with all of the forecast fields from 1-6 hours from each analysis time.\r\n\r\nMesoscale : lb[a,f][m,p]yyyymmddhh_STASHCODE_fh.pp\r\n\r\nGlobal: ag[a,f][m,p]yyyymmddhh_STASHCODE_fh.pp\r\n\r\nwhere yyyymmddhh is the year, month,day and assimilation time, STASHCODE is the STASHMASTER parameter code, fh is the forecast timestep (from the assimilation time), and pp indicates that the files are in binary \"pp\" format.\r\n\r\nThe directory structure has also been changed to bring it in line with the BADC ECMWF holdings. The mesoscale files and global data are now stored under:\r\n/badc/ukmo-um/data/meso/lb/a[m,p] for the analysis fields\r\n/badc/ukmo-um/data/meso/lb/f[m,p] for the forecast fields\r\n/badc/ukmo-um/data/global/ag/a[m,p] for the analysis fields\r\n/badc/ukmo-um/data/global/ag/f[m,p] for the forecast fields\r\nPre-2004 data are still available in the old format under /badc/ukmo-um/data/mesocale/[sm,mm] and /badc/ukmo-um/data/global/[mg,sg], although these will be phased out as the data are archived in the newer format.\r\n" } ], "responsiblepartyinfo_set": [ 55430, 55433, 39891, 39894, 39895, 39896, 39892, 39893, 55431, 55432, 168748 ], "onlineresource_set": [ 7958 ] }, { "ob_id": 11076, "uuid": "bb6ee8237ed434e3ccfa0785d7f67327", "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: AOM 4x3 at NASA Goddard Institute for Space Studies (NASA/GISS), USA data", "abstract": "Data from the NASA Goddard Institute for Space Studies AOM 4x3 simulations", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T23:02:12", "updateFrequency": "notPlanned", "dataLineage": "Data was converted to CF netCDF by the data provider.", "removedDataReason": "", "keywords": "CMIP3", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-02-29T14:01:28", "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": 11077, "dataPath": "/badc/cmip3_drs/data/cmip3/output/NASA/GISS-AOM/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 180348164704, "numberOfFiles": 617, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 4979, "startTime": "1850-01-01T00:00:00", "endTime": "2300-12-31T23:59:59" }, "resultQuality": { "ob_id": 2865, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11332, "uuid": "2157135ec9df4585b5149e09477eba69", "short_code": "comp", "title": "GISS-AOM Atmosphere Ocean Model deployed on NASA Goddard Institute for Space Studies (GISS) (USA) computer", "abstract": "This computation involved: GISS-AOM Atmosphere Ocean Model deployed on NASA Goddard Institute for Space Studies (GISS) (USA) computer." }, "procedureCompositeProcess": null, "imageDetails": [ 4 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2599, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "cmip3", "label": "restricted: cmip3 group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 426, "uuid": "5b9dbe341d2fb169922d36e7c0cf8805", "short_code": "proj", "title": "The World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3)", "abstract": "In response to a proposed activity of the World Climate Research Programme (WCRP) Working Group on Coupled Modelling (WGCM), PCMDI volunteered to collect model output contributed by leading modelling centres around the world. 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CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. This framework enables a diverse community of scientists to analyze GCMs in a systematic fashion, a process which serves to facilitate model improvement.\r\n\r\nThe Program for Climate Model Diagnosis and Intercomparison (PCMDI) archives much of the CMIP data. Part of the CMIP archive constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3), a collection of climate model output from simulations of the past, present and future climate.\r\n\r\nThis unprecedented collection of recent model output is officially known as the \"WCRP CMIP3 multi-model dataset\". It is meant to serve the Intergovernmental Panel on Climate Change (IPCC)'s Working Group 1, which focuses on the physical climate system -- atmosphere, land surface, ocean and sea ice -- and the choice of variables archived reflects this focus. The Intergovernmental Panel on Climate Change (IPCC) was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. 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In addition, the ERBE data has helped scientists better understand how the amount of energy emitted by the Earth varies from day to night. These diurnal changes are also very important aspects of our daily weather and climate.\r\n\r\nIn the 1970's, NASA recognised the importance of the radiation budget and its effects on the Earth's climate. Langley Research Centre was charged with developing a new generation of instrumentation to make accurate regional and global measurements of the components of the radiation budget. The Goddard Space Flight Centre built the Earth Radiation Budget Satellite (ERBS) on which the first ERBE instruments were launched by the Space Shuttle Challenger in 1984. ERBE instruments were also launched on two National Oceanic and Atmospheric Administration (NOAA) weather monitoring satellites; NOAA 9 and NOAA 10, in 1984 and 1986.\r\n\r\nThe ERBE instrument aboard ERBS, launched from the Space Shuttle Challenger in October 1984 (STS-41G), had the main aim of providing accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. The other goals of the Earth Radiation Budget Experiment (ERBE) are:\r\n\r\n-to understand the radiation balance between the Sun, Earth, atmosphere and space which drives our weather and climate system.\r\n-to establish an accurate, long-term baseline dataset for studying climate system changes.\r\n\r\nAll of the initial goals were meet, and the ERBE instrument continues to provide valuable data. 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High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-11-10T11:53:20", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 86/04, Feltwell", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-07-24T14:41:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 744, "bboxName": "Feltwell", "eastBoundLongitude": 0.5212, "westBoundLongitude": 0.51, "southBoundLatitude": 52.3849, "northBoundLatitude": 52.4849 }, "verticalExtent": null, "result_field": { "ob_id": 11578, "dataPath": "/neodc/arsf/1986/86_04/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1218089598, "numberOfFiles": 97, "fileFormat": "Images are JPEG formatted." }, "timePeriod": { "ob_id": 3591, "startTime": "1986-07-15T23:00:00", "endTime": "1986-07-16T22:59:59" }, "resultQuality": { "ob_id": 3018, "explanation": " ", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13221, "uuid": "d600f53aefe849f59cfca940bf493cb1", "short_code": "acq", "title": "Acquisition record for the Photographic Camera on-board Flight 86/04 over the Feltwell Area", "abstract": "Acquisition record for the Photographic Camera on-board Flight 86/04 over the Feltwell Area" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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": 11579, "uuid": "b5c72b72b31b405680bdacf853b03b21", "short_code": "proj", "title": "ARSF - Flight 86/04: Feltwell area", "abstract": "ARSF project 86/04 led by Agrisar (PI). Site: Feltwell." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7665 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 50657, 40916, 40920, 40921, 40915, 40918, 40919, 40917, 50656 ], "onlineresource_set": [] }, { "ob_id": 11580, "uuid": "c3b1f4d5de1e8247c72a39039a31d1af", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): species profiles, version 6.20", "abstract": "Species profiles (SPEC files) and revision information (INDEX) from the Stratospheric Aerosol and Gas Experiment II (SAGE II), an instrument on board the Earth Radiation Budget Satellite (ERBS) which used the solar occultation technique to measure global profiles of aerosol extinction, temperature, ozone, nitrogen dioxide and water vapour in the stratosphere and upper troposphere. Version 1 of the data consist of monthly mean global image maps and associated gridded data for the period 1985-1993. Version 6.2, available for the period October 1984 to August 2005, superseded version 6.1 , containing INDEX and SPEC files for the period October 1984 to July 2000. Access to this dataset is partially restricted.\r\n\r\nSpecies information includes aerosol extinction profiles at 1020, 525, 453, and 385 nanometers, number density profiles of ozone and nitrogen dioxide, plus molecular density and mixing ratio profiles of water vapour. It also includes aerosol surface area density and effective radius profiles, and retrieved molecular density for the middle atmosphere (40-75 km). All profiles are at 0.5-km vertical resolution. These products are nearly global in coverage, with data spanning from 80 North to 80 South.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-11-10T17:46:28", "updateFrequency": "notPlanned", "dataLineage": "Data obtained by the SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor on-board the Earth Radiation Budget Satellite (ERBS), an supplied to the BADC where they are stored.", "removedDataReason": "", "keywords": "SAGE II, occultation, profiles, chemistry, temperature, ozone", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-08T21:14:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 6, "bboxName": "SAGE orbits", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -80.0, "northBoundLatitude": 80.0 }, "verticalExtent": null, "result_field": { "ob_id": 11581, "dataPath": "/badc/sage2/data/v6.20", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1836470820, "numberOfFiles": 746, "fileFormat": "The files are unformatted (native format) binary files written on a DEC Alpha by a program compiled using the DIGITAL Fortran 90 V5.2-705 compiler. The data consists of two and four byte little endian integers and single and double precision little endian IEEE floating point data. Refer to the linked documentation and software provided to read these data." }, "timePeriod": { "ob_id": 3241, "startTime": "1984-09-30T23:00:00", "endTime": "1989-12-31T00:00:00" }, "resultQuality": { "ob_id": 3019, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19720, "uuid": "b74084a387b547eeb46f3d0d15b5be8a", "short_code": "cmppr", "title": "Composite Process for: Data from Stratospheric Aerosol and Gas Experiment II (SAGE II) at Earth Radiation Budget Satellite (ERBS) for the NASA Earth Observing System (EOS) Program", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Stratospheric Aerosol and Gas Experiment II (SAGE II) at Earth Radiation Budget Satellite (ERBS) for the NASA Earth Observing System (EOS) Program ; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Earth Radiation Budget Satellite (ERBS); \r\n" }, "imageDetails": [ 108 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2618, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "sage2", "label": "restricted: sage2 group", "licence": { "ob_id": 74, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/langley.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19710, "uuid": "94d45555fd634aa6a03884e7a27a27e7", "short_code": "proj", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II)", "abstract": "The SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor was launched into a 57 degree inclination orbit aboard the Earth Radiation Budget Satellite (ERBS) in October 1984. During each sunrise and sunset encountered by the orbiting spacecraft, the instrument used the solar occultation technique to measure attenuated solar radiation through the Earth's limb in seven channels centered at wavelengths ranging from 0.385 to 1.02 micrometers and to measure stratospheric aerosols, ozone, nitrogen dioxide, and water vapor. \r\n\r\nThe data SAGE II collected were integral to confirming human-driven changes to ozone, and thus contributed to the 1987 Montreal Protocol that banned certain harmful chemicals. SAGE II observations helped to confirm that ozone ceased decreasing in response to this action.\r\n\r\nMajor results from SAGE II include illustrations of the stratospheric impact of the 1991 Mount Pinatubo eruption, identification of a negative global trend in lower stratospheric ozone during the 1980s, and quantitative verification of the positive water vapor feedback in current climate models.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 7668 ], "observationcollection_set": [ { "ob_id": 7218, "uuid": "bd5e5f99d8f789324698379efba64502", "short_code": "coll", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): Global Profiles of Aerosol Extinction, Temperature, Ozone, Nitrogen Dioxide and Water Vapour", "abstract": "The SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor was launched into a 57 degree inclination orbit aboard the Earth Radiation Budget Satellite (ERBS) in October 1984. During each sunrise and sunset encountered by the orbiting spacecraft, the instrument used the solar occultation technique to measure attenuated solar radiation through the Earth's limb in seven channels centered at wavelengths ranging from 0.385 to 1.02 micrometers.\r\n\r\nVersion 6.1 data are available from October 1984 through July 2000, in the form of index files and spec files, with software to assist processing in IDL. Version 6.2 data continue through to August 2005. The update from 6.1 to 6.2 rectifies an altitude registration problem, and there is an improvement to the water vapour product. More information about the data is available from the SAGE II web site of the NASA Langley Research Center.\r\n\r\nVersion 1 contained SAGE II monthly mean global colour image maps and the relevant gridded data for aerosol extinction at 1020 nm, 525 nm, 453 nm and 385 nm wavelength, ozone mixing ratio, water vapour mixing ratio and relative humidity, nitrogen dioxide mixing ratio at up 14 pressure levels, for the period January 1985 to December 1993.\r\n\r\nAs the original SAGE II measurements were made at geometrical heights, meteorological data from the National Meteorological Center (NMC) were used to determine the actual pressure heights for the SAGE II profile data and also have been used to calculate the relative humidity. For easy reference, the NMC atmospheric temperature, geometrical altitude and tropopause data used in the determination of SAGE II data are also included. Users of the image/data version 1.0 products need to be aware that these meteorological data are not measured by the SAGE II instrument itself." } ], "responsiblepartyinfo_set": [ 50741, 50744, 40924, 40923, 40927, 40928, 40926, 40925, 50742, 50745, 50743 ], "onlineresource_set": [ 7252, 7253 ] }, { "ob_id": 11590, "uuid": "bab1525954daf4c43e513cffa0d937cc", "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: MRI-CGCM2.3.2 at Meteorological Research Institute, Japan Meteorological Agency, Japan data", "abstract": "Data from the Meteorological Research Institute MRI-CGCM2.3.2 simulations", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T23:39:26", "updateFrequency": "notPlanned", "dataLineage": "Data was converted to CF netCDF by the data provider.", "removedDataReason": "", "keywords": "CMIP3", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-02-29T12:03:20", "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": 11591, "dataPath": "/badc/cmip3_drs/data/cmip3/output/MRI/CGCM2-3-2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1024578824886, "numberOfFiles": 4737, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4979, "startTime": "1850-01-01T00:00:00", "endTime": "2300-12-31T23:59:59" }, "resultQuality": { "ob_id": 3022, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11237, "uuid": "f4f7db7abe4b46bc97d890d2cd596dce", "short_code": "comp", "title": "MRI-CGCM2.3.2 Meteorological Research Institute Coupled Global Circulation Model deployed on Meteorological Research Institute (Japan) computer", "abstract": "This computation involved: MRI-CGCM2.3.2 Meteorological Research Institute Coupled Global Circulation Model deployed on Meteorological Research Institute (Japan) computer." }, "procedureCompositeProcess": null, "imageDetails": [ 4 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2599, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "cmip3", "label": "restricted: cmip3 group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 426, "uuid": "5b9dbe341d2fb169922d36e7c0cf8805", "short_code": "proj", "title": "The World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3)", "abstract": "In response to a proposed activity of the World Climate Research Programme (WCRP) Working Group on Coupled Modelling (WGCM), PCMDI volunteered to collect model output contributed by leading modelling centres around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modelling centres to perform research of relevance to climate scientists preparing the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 9045, 50416, 50418, 50426, 50475, 50481, 50498, 50509, 50549, 50554, 50559, 50561, 50575, 50577, 50586, 50589, 50598, 50599, 52741, 52746, 52747, 52748, 52751, 53107, 53109, 54088, 54228, 54258, 54336, 54697, 57164, 57654, 66921, 66922, 66923, 66924, 66925, 66926, 66927, 66928, 66929, 66930, 66931, 66932, 66933, 66934, 66935, 66936, 66937, 66938, 66939, 66940, 66941, 66942, 66943, 66945, 66946, 66947, 66948, 66949, 66950, 66952, 66953, 66954, 66955, 66956, 66957, 66959, 66960, 66961, 66962, 68260, 68262, 68264, 68267, 68268, 68270, 68271, 68272, 68273, 68274, 68275, 68276, 68277, 68278, 68279, 68478 ], "vocabularyKeywords": [], "identifier_set": [ 7671 ], "observationcollection_set": [ { "ob_id": 423, "uuid": "72afa18db5988d1be0066a26e09422df", "short_code": "coll", "title": "The World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset", "abstract": "Under the World Climate Research Programme (WCRP), the Working Group on Cloupled Modelling (WGCM) established the Coupled Model Intercomparison Project (CMIP) as a standard experimental protocol for studying the output of coupled atmosphere-ocean general circulation models (AOGCMs). CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. This framework enables a diverse community of scientists to analyze GCMs in a systematic fashion, a process which serves to facilitate model improvement.\r\n\r\nThe Program for Climate Model Diagnosis and Intercomparison (PCMDI) archives much of the CMIP data. Part of the CMIP archive constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3), a collection of climate model output from simulations of the past, present and future climate.\r\n\r\nThis unprecedented collection of recent model output is officially known as the \"WCRP CMIP3 multi-model dataset\". It is meant to serve the Intergovernmental Panel on Climate Change (IPCC)'s Working Group 1, which focuses on the physical climate system -- atmosphere, land surface, ocean and sea ice -- and the choice of variables archived reflects this focus. The Intergovernmental Panel on Climate Change (IPCC) was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science.\r\n\r\nThe research based on this dataset provided much of the new material underlying the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4)." } ], "responsiblepartyinfo_set": [ 51155, 40942, 40941, 40944, 40945, 105009, 40946, 40943 ], "onlineresource_set": [ 7689, 7690 ] }, { "ob_id": 11602, "uuid": "94594949023ea41d47713153ad07d44b", "title": "CRUTEM4.2.0.0-2013-03: Climatic Research Unit (CRU) Gridded Dataset of Global Historical Near-Surface Air TEMperature Anomalies Over Land (version 4.2.0.0 Jan. 1850 - Mar. 2013)", "abstract": "CRUTEM4 is a gridded dataset of global historical near-surface air temperature anomalies over land. \r\n\r\nThis specific version is CRUTEM4.2.0.0-2013-03, available for each month from January 1850 to March 2013, on a 5 degree grid. \r\n\r\nHemispheric and global anomaly series are provided. \r\n\r\nThe dataset is a collaborative product of the Climatic Research Unit at the University of East Anglia and the Met Office Hadley Centre. \r\n\r\nThe CRUTEM4 dataset is updated on a monthly basis; these updates are available from the institutions listed below (see Links).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2013-09-19T14:53:50", "updateFrequency": "notPlanned", "dataLineage": "Data were prepared by Climate Research Unit group at the University of East Anglia before submission to the BADC for archiving.", "removedDataReason": "", "keywords": "CRUTEM, Hadley, UEA, CRU", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "5x5 degrees grid", "status": "completed", "dataPublishedTime": "2013-07-19T13:42:44", "doiPublishedTime": "2013-09-19T23:00:00", "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": 11603, "dataPath": "/badc/cru/data/crutem/crutem4/CRUTEM4.2.0.0-2013-03", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6422146, "numberOfFiles": 9, "fileFormat": "All the data files (ASCII \".dat\" and netcdf \".nc\") are compressed (.gz extension).\r\nTo understand how to read the CRUTEM4.2.0.0-2013-03 data files, please refer to the CRUTEM4.2.0.0-2013-03_File_Format_explained PDF documentation (under Linked Documentation below).\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 3254, "startTime": "1850-01-01T00:00:00", "endTime": "2013-03-31T00:00:00" }, "resultQuality": { "ob_id": 3027, "explanation": "The Centre for Environmental Data Analysis have done no quality control on the data; they are as produced by the project team.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 12207, "uuid": "48028ae006e0444fbdfb5bbf8d04ec33", "short_code": "comp", "title": "UEA Climatic Research Unit (CRU) CRUTEM gridding software deployed on UEA Climatic Research Unit (CRU) computer system", "abstract": "For details about the construction of the CRUTEM dataset, please refer to:\r\n\r\nOsborn, T.J. and Jones, P.D., 2014: The CRUTEM4 land-surface air temperature data set: construction, previous versions and dissemination via Google Earth. 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NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 45306, 45300, 45301, 45303, 45305, 45299, 45304, 45302, 45307, 45308, 45309, 45310, 45311, 45312, 45313 ], "onlineresource_set": [ 5076 ] }, { "ob_id": 11653, "uuid": "eb07eeb27fa3421ca947e144f4a56ea7", "title": "COMET: Continuous GPS measurements from the Aegean for 2005", "abstract": "Continuous GPS measurements during 2005 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. 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" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 11657, "uuid": "8aa71e3a6899480baea9d0f7e8e21239", "short_code": "coll", "title": "COMET: Continuous GPS measurements from the Aegean from 2002 to 2008", "abstract": "Continuous GPS measurements between 2002 and 2008 were made at a number of stations across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThese data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This was part of an ongoing collection published in yearly datasets." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 45291, 45284, 45285, 45286, 45288, 45289, 45290, 45287, 45292, 45293, 45294, 45295, 45296, 45297, 45298 ], "onlineresource_set": [ 5077 ] }, { "ob_id": 11654, "uuid": "6ec91b07179d44f48a4544887155a65a", "title": "COMET: Continuous GPS measurements from the Aegean for 2006", "abstract": "Continuous GPS measurements during 2006 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This is part of an ongoing collection published in yearly datasets. 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" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 11657, "uuid": "8aa71e3a6899480baea9d0f7e8e21239", "short_code": "coll", "title": "COMET: Continuous GPS measurements from the Aegean from 2002 to 2008", "abstract": "Continuous GPS measurements between 2002 and 2008 were made at a number of stations across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThese data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This was part of an ongoing collection published in yearly datasets." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 45246, 45239, 45240, 45241, 45243, 45245, 45244, 45242, 45247, 45248, 45249, 45250, 45251, 45252, 45253 ], "onlineresource_set": [ 5078 ] }, { "ob_id": 11655, "uuid": "01ec9f27539c4be481a4bfc83bfb7fdc", "title": "COMET: Continuous GPS measurements from the Aegean for 2007", "abstract": "Continuous GPS measurements during 2007 have been made by a network of GPS receivers across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. 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We propose to comply with the directory structure used by the IGS (International GNSS Service, http://www.igs.org) data centres: daily session for each site are stored in separate observation files and grouped in day directories; the day directories are grouped in year directories." }, "timePeriod": { "ob_id": 3263, "startTime": "2007-01-01T00:00:00", "endTime": "2007-12-31T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 11624, "uuid": "d696a6dfa83644d990bf024afc3efd2a", "short_code": "acq", "title": "COMET cGPS data acquisition for 2007", "abstract": "COMET cGPS data acquisition for 2007" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "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": 11688, "uuid": "740f96308d734fc8b548ab1e53478b92", "short_code": "proj", "title": "Continuous GPS in Greece", "abstract": "Continuous GPS measurements since 2002 have been made at a number of stations across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 11657, "uuid": "8aa71e3a6899480baea9d0f7e8e21239", "short_code": "coll", "title": "COMET: Continuous GPS measurements from the Aegean from 2002 to 2008", "abstract": "Continuous GPS measurements between 2002 and 2008 were made at a number of stations across the Aegean to monitor tectonic movement across the Eastern Mediterranean by the UK's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThese data are made available in the RINEX (Receiver-INdependent data EXchange) format, version 2.10 or more recent, with Hatanaka compaction and UNIX compression applied. These data are available to all registered users under the UK Government Open Data licence. This was part of an ongoing collection published in yearly datasets." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 45261, 45254, 45255, 45256, 45258, 45259, 45260, 45257, 45262, 45263, 45264, 45265, 45266, 45267, 45268 ], "onlineresource_set": [ 5079 ] }, { "ob_id": 11697, "uuid": "e0659b01259145c8bfb0de6eb12c2690", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): GHRSST Multi-Product ensemble (GMPE)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010 using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research. \r\n\r\nThe GHRSST Multi-Product Ensemble (GMPE) dataset is an ensemble median of the ESA SST CCI spatially complete analysis with other level 4 SST analysis products. Anomalies of the analyses relative to the median, and the ensemble standard deviation are also provided.\r\n\r\nAll the data in the GMPE files are regridded onto a common 0.25 degree regular latitude longitude grid and there are\r\nSST fields for each day. The GMPE for the ESA SST CCI long term product covers the period September 1991 to December\r\n2010. GMPE files are also available for ESA SST CCI demonstration product 1 (which covers June to August 2007).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-29T16:06:00", "updateFrequency": "notPlanned", "dataLineage": "Data were processed and supplied to the NEODC by the ESA CCI SST project team.", "removedDataReason": "", "keywords": "ESA, SST CCI", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "0.25 degree", "status": "completed", "dataPublishedTime": "2014-12-03T12:00:00", "doiPublishedTime": "2015-02-24T00:00:00", "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": 30265, "dataPath": "/neodc/esacci/sst/data/gmpe/CDR_V1/", "oldDataPath": [ 11696 ], "storageLocation": "internal", "storageStatus": "online", "volume": 32065793472, "numberOfFiles": 7186, "fileFormat": "The GMPE is formed of daily NetCDF files containing various fields including the median of the ensemble, the anomaly of each ensemble member from that median and the SST gradients from each product. Where we do not have permission to redistribute data, the anomaly and gradient fields are filled with the missing data indicator (which is found in the _FillValue attribute to the variables and is set to -32768). The median_type variable, which reveals which analysis supplied the median at each location, has also been filled with the missing data value.\r\n\r\nFile names for the GMPE files are in the form 20101231120000-UKMO-L4_GHRSST-SST-GMPEREAN-GLOB-v02.0-fv02.0.nc.The first eight digits give the year (first four digits) followed by the month and the day (two digits each). For the period June to August 2007 there are GMPE files that contain the ESA SST CCI demonstration product 1 in addition to the analyses compared over the full period of the long term product. These have GLOB_DM in their file names in place of GLOB." }, "timePeriod": { "ob_id": 3266, "startTime": "1991-08-31T23:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 137 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2556, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 28, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11008, "uuid": "05fb7c9964b4172991a72082c46a3376", "short_code": "proj", "title": "Sea Surface Temperature Climate Change Initiative Project", "abstract": "The Sea Surface Temperature Climate Change Initiative (SST_cci) project is part of the European Space Agency's Climate Change Initiative programme, It aims to accurately mapping the surface temperature of the global oceans using observations from many satellites, and to independently quantify SST to a quality suitable for climate research.\r\n\r\nThe team brings together European expertise in creating climate quality records of ocean temperatures from satellite data, with expertise in climate applications and computer engineering. Through the ESA funded Climate Change Initiative, the team have created a climate record of global sea surface temperature (SST) for the period 1981 to 2016. Based on satellite data, this record is independent of thermometer based measurements from ships and buoys. The new climate SST record complements and challenges existing knowledge of how ocean temperatures have evolved. \r\n\r\nThe project started in August 2010. It is part of a wider initiative by the European Space Agency (ESA) addressing several essential climate variables in addition to SST." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 3301, 3302, 9594, 10294, 10295, 10296, 10297, 10298, 10299, 10300, 10301, 10302, 10303 ], "vocabularyKeywords": [ { "ob_id": 10673, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10761, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" }, { "ob_id": 6562, "vocabService": "nerc_skos_vocab", "uri": "http://vocab.nerc.ac.uk/collection/P07/current/CFSN0381/", "resolvedTerm": "sea_surface_temperature" }, { "ob_id": 10203, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_sst", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10109, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org40", "resolvedTerm": "Met Office Hadley Centre" }, { "ob_id": 10651, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/dataType/dtype_sstInt", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10362, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org74", "resolvedTerm": "ESACCI_SST" }, { "ob_id": 10337, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sstInt", "resolvedTerm": "sea surface temperature" }, { "ob_id": 10727, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/org/org40", "resolvedTerm": "Met Office Hadley Centre" } ], "identifier_set": [ 8340 ], "observationcollection_set": [ { "ob_id": 11005, "uuid": "1dc189bbf94209b48ed446c0e9a078af", "short_code": "coll", "title": "Collection of Sea Surface Temperature (SST) Data of the Global Oceans as part of the ESA Climate Change Initiative (CCI)", "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nThe latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page." }, { "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": [ 45328, 45370, 45368, 45374, 45369, 75983, 143570, 45378, 45371, 45380 ], "onlineresource_set": [ 5089, 5091, 5092, 5093, 5095, 5096, 5459, 14981, 15820, 16448, 5090, 5094 ] }, { "ob_id": 11711, "uuid": "91ab68936773eedd18162d7c9fe3e653", "title": "UKCIP02: 50km gridded data for UK climate projection scenarios (2002)", "abstract": "The 50km gridded resolution data for four climate projection scenarios produced in support of the UK Climate Impacts Programme 2002 (UKCIP02).\r\n\r\nThere are data for monthly and seasonal average anomalies with respect to simulated 1961~90 average for four alternative future climates for the UK. The four emissions scenarios are Low (LO), Medium-Low (ML), Medium-High (MH) and High (HI).\r\n\r\nThe monthly time-slice data are available for the following variables: \r\nMaximum temperature (TMAX), Minimum temperature (TMIN), Daily mean temperature (TEMP), Total precipitation rate (PREC), Snowfall rate (SNOW), Wind speed (WIND), Relative humidity (RHUM), Total cloud in longwave radiation (TCLW), Net surface longwave flux (NSLW), Net surface shortwave flux (NSSW), Total downward surface shortwave flux (DSWF), Soil moisture content (SMOI), Mean sea level pressure (MSLP), Surface latent heat flux (SLHF), Specific humidity (SPHU), Inter-annual variability: temperature (IAVT) and Inter-annual variability: precipitation (IAVP). \r\n\r\nThe data are available over the following time periods using the following convention in the filename:\r\n6190 = 1961 to 1990, i.e. observed climate, \r\n2020s = predictions for 2011 to 2040,\r\n2050s = predictions for 2041 to 2070,\r\n2080s = predictions for 2071 to 2100.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-05-19T13:32:28.332000", "updateFrequency": "", "dataLineage": "Data were produced by the Met Office Hadley Centre, analysed by the Tyndall Centre and passed to the NCAS British Atmospheric Data Centre (NCAS BADC) for archival.", "removedDataReason": "", "keywords": "UKCIP, UKCIP02, Climate, Projections, UKCP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "50 km", "status": "completed", "dataPublishedTime": "2017-02-20T12:39:51", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 509, "bboxName": "UKCIP02", "eastBoundLongitude": 3.0, "westBoundLongitude": -11.0, "southBoundLatitude": 49.0, "northBoundLatitude": 61.0 }, "verticalExtent": null, "result_field": { "ob_id": 11712, "dataPath": "/badc/ukcip02/data/50km_resolution", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 57691086, "numberOfFiles": 1399, "fileFormat": "Data are provided in the following formats: text, shape files, csv and pdf." }, "timePeriod": { "ob_id": 3269, "startTime": "1961-01-01T00:00:00", "endTime": "2100-12-31T23:59:59" }, "resultQuality": { "ob_id": 3069, "explanation": "Data were quality controlled by UKCIP prior to release.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2017-01-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 11713, "uuid": "53e0417188a9587755a047eeee58f9ea", "short_code": "comp", "title": "UKCIP02 Scenario Computations", "abstract": "The UK Climate Impact Programme 2002 (UKCIP02) climate change scenarios are based exclusively on experiments completed using the HadCM3 global climate model, HadAM3H high-resolution atmosphere model and the HadRM3 regional climate mode by the Met Office Hadley Centrel. The same hierarchy of climate model experiments is used as the basis for each scenario." }, "procedureCompositeProcess": null, "imageDetails": [ 143 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11714, "uuid": "27d315060f7c29609a5a01d0a72a7a3a", "short_code": "proj", "title": "UKCIP02: UK Climate Impact Programme 2002", "abstract": "The UK Climate Impacts Programme 2002 (UKCIP02) are a set of climate projections derived from a series of climate modelling experiments commissioned and funded by Department for Environment, Food and\r\nRural Affairs (DEFRA), performed by the Hadley Centre and analysed by the Tyndall Centre. \r\n\r\nThe UKCIP02 data are comprised of four scenarios of future climate change for the UK based on the understanding of the science of climate change in 2002. The climate change scenarios provide a common starting point for assessing climate change vulnerability, impacts and adaptation in the UK. \r\n\r\nThe UKCIP02 scenarios represent an advance in the description of future UK climates compared to the scenarios published for UKCIP in 1998. This is because they are based on new global emissions scenarios published in 2000 by the Intergovernmental Panel on Climate Change (IPCC) in their Special Report on Emissions Scenarios, and because they are based on a series of climate modelling experiments completed by the Hadley Centre using their most recently developed models. The scenarios describe four alternative future climates for the UK labelled, respectively, Low Emissions, Medium-Low Emissions, Medium-High Emissions and High Emissions. The scenarios are designed to be used in conjunction with other UKCIP reports and products. \r\n\r\nNo probabilities can be attached to these four climate futures – in line with the IPCC, UKCIP02 do not suggest that one is more likely than another. While they represent a wide range of possible future climates, the UKCIP02 scenarios do not capture the entire range of future possibilities." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10256, 10257, 10258, 10259, 10260, 10261, 10262, 10263, 10264, 10265, 10266, 10267, 10268, 10269, 10270, 10271, 10272 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 11710, "uuid": "eb1d7cd4265b240d14707d9df2d9e828", "short_code": "coll", "title": "UKCIP02: UK Climate Impact Programme (2002) projection scenarios datasets", "abstract": "The UK Climate Impacts Programme 2002 (UKCIP02) comprises a set of four scenarios of future climate change produced for assessing climate change vulnerability, impacts and adaptation in the UK based on the understanding of the science of climate change in 2002. \r\n\r\nData are provided at two resolutions 50km and 5km. The 5km resolution data are provided in both a gridded and time-series format. The four alternative future climates for the UK are labelled respectively, Low Emissions, Medium-Low Emissions, Medium-High Emissions and High Emissions. No probabilities can be attached to these four climate futures – in line with the IPCC, UKCIP02 do not suggest that one is more likely than another. While they represent a wide range of possible future climates, the UKCIP02 scenarios do not capture the entire range of future possibilities. The scenarios are designed to be used in conjunction with other UKCIP reports and products." } ], "responsiblepartyinfo_set": [ 45402, 45406, 45411, 45405, 78374, 45404, 45410, 45408, 45403, 45409, 45407, 78375, 148606 ], "onlineresource_set": [ 5106, 5107, 5108, 16867 ] }, { "ob_id": 11715, "uuid": "bf473f184d4b0029fb3c1e2365e108b0", "title": "ERBE: Combined data from the ERBE instruments on aboard the NOAA-9, NOAA-10 and ERBS satellites", "abstract": "This dataset consists of combined data from the Earth Radiation Budget Experiment (ERBE) instruments on the Earth Radiaition Budget Satellite (ERBS) and the 10th NOAA Sun-synchronous operational satellites (NOAA-9). ERBS was launched in October 1984 by the Space Shuttle Challenger (STS-41G) into an orbit at 603-km altitude, 57-deg. inclination. NOAA-9 operated at an altitude of 852-km, with an equatorial crossing local time of 1430, having been launched in December 1984. NOAA-10 operated at an altitude of 833-km, with an equatorial crossing local time of 0730, having been launched in November 1986.\r\n\r\nThe ERBE instrument's main aim was to provide accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. \r\n\r\nThis dataset contains colour images (shortwave/longwave/net radiation, albedo, clear-sky albedo, clear-sky shortwave/longwave/net radiation, and shortwave/longwave/net cloud forcing) from scanning radiometers on the NOAA-10 ERBE satellites and for combined satellite cases. \r\n\r\nMonthly average values are included for the time periods during which the scanners were operational.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-04-22T21:35:04", "updateFrequency": "notPlanned", "dataLineage": "Data collected by NASA using the Earth Radiation Budget Satellite (ERBS), NOAA-9 and the NOAA-10 satellite, processed and prepared by NASA. A copy of the data were then obtained by the BADC to be made available through the BADC archive.", "removedDataReason": "", "keywords": "ERBE, NOAA, ERBS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "1990-12-10T16:33:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 510, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 11716, "dataPath": "/badc/CDs/erbe/erbedata/eb_n9_10", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3517949, "numberOfFiles": 41, "fileFormat": "Data are GIF formatted" }, "timePeriod": { "ob_id": 3273, "startTime": "1986-11-01T00:00:00", "endTime": "1987-01-31T23:59:59" }, "resultQuality": { "ob_id": 2945, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 11345, "uuid": "67e8d53a8a7746868feb661a5cd25060", "short_code": "cmppr", "title": "Composite Process for: Aggregate deployment_392", "abstract": "This process is comprised of multiple procedures: 1. Computation: SRB satellite Pinker algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC); \n2. Computation: SRB satellite Staylor algorithm using ISCCP-C1 and ERBE data deployed on unknown computer; \n" }, "imageDetails": [ 52 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 3618, "uuid": "02c2212b02f8b8ce709f6b62503d124c", "short_code": "proj", "title": "NASA Earth Radiation Budget Experiment (ERBE)", "abstract": "The Earth Radiation Budget Experiment was designed around three Earth-orbiting satellites: the NASA Earth Radiation Budget Satellite (ERBS), and two NOAA satellites. The data from these satellites were used to study the radiation budget, which represents the balance between incoming energy from the Sun and outgoing thermal (longwave) and reflected (shortwave) energy from the Earth. The Earth's radiation budget is the primary indicator of global climate change. The absorbed shortwave radiation (incident minus reflected) fuels the earth's climate and biosphere systems. The longwave radiation represents the exhaust heat emitted to space. It can be used to estimate the insulating effect of the atmosphere (the greenhouse effect). It was also a useful indicator of cloud amount and activity. Consequently the ERBE has helped scientists worldwide better understand how clouds and aerosols, as well as some chemical compounds in the atmosphere (greenhouse gases), affect the Earth's daily and long-term weather (the Earth's climate). In addition, the ERBE data has helped scientists better understand how the amount of energy emitted by the Earth varies from day to night. These diurnal changes are also very important aspects of our daily weather and climate.\r\n\r\nIn the 1970's, NASA recognised the importance of the radiation budget and its effects on the Earth's climate. Langley Research Centre was charged with developing a new generation of instrumentation to make accurate regional and global measurements of the components of the radiation budget. The Goddard Space Flight Centre built the Earth Radiation Budget Satellite (ERBS) on which the first ERBE instruments were launched by the Space Shuttle Challenger in 1984. ERBE instruments were also launched on two National Oceanic and Atmospheric Administration (NOAA) weather monitoring satellites; NOAA 9 and NOAA 10, in 1984 and 1986.\r\n\r\nThe ERBE instrument aboard ERBS, launched from the Space Shuttle Challenger in October 1984 (STS-41G), had the main aim of providing accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. The other goals of the Earth Radiation Budget Experiment (ERBE) are:\r\n\r\n-to understand the radiation balance between the Sun, Earth, atmosphere and space which drives our weather and climate system.\r\n-to establish an accurate, long-term baseline dataset for studying climate system changes.\r\n\r\nAll of the initial goals were meet, and the ERBE instrument continues to provide valuable data. Earth Radiation Budget Experiment (ERBE) data are fundamental to the development of realistic climate models and for studying natural and anthropogenic perturbations of the climate system.\r\n\r\nThis CD-ROM contains data and colour images from scanning radiometers on the three ERBE satellites and for combined satellite cases. The CD-ROM is written using the ISO-9660 standard. Monthly average values are included for the time periods during which the scanners were operational." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22796, 25846, 25863, 25875, 25884, 25892 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3615, "uuid": "1ef9f265346e2e211c6c0a7dc22b270e", "short_code": "coll", "title": "Earth Radiation Budget Experiment (ERBE) Radiation Data and Colour Images", "abstract": "The Earth Radiation Budget Experiment (ERBE) instrument aboard the NASA Earth Radiation Budget Satellite (ERBS) was launched from the Space Shuttle Challenger in October 1984 (STS-41G). The ERBE instrument's main aim was to provide accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. \r\n\r\nThis dataset collection contains colour images (shortwave/longwave/net radiation, albedo, clear-sky albedo, clear-sky shortwave/longwave/net radiation, and shortwave/longwave/net cloud forcing) from scanning radiometers on the three ERBE satellites and for combined satellite cases. Monthly average values are included for the time periods during which the scanners were operational. " } ], "responsiblepartyinfo_set": [ 45424, 45425, 45423, 45429, 45430, 45431, 45432, 45426, 45427, 45428 ], "onlineresource_set": [] }, { "ob_id": 11717, "uuid": "2019452e33fcea2415ccec4756994948", "title": "ERBE: Combined data from the ERBE instruments on aboard the NOAA-10 and ERBS satellites", "abstract": "This dataset consists of combined data from the Earth Radiation Budget Experiment (ERBE) instruments on the Earth Radiaition Budget Satellite (ERBS) and the 10th NOAA Sun-synchronous operational satellites (NOAA-9). ERBS was launched in October 1984 by the Space Shuttle Challenger (STS-41G) into an orbit at 603-km altitude, 57-deg. inclination. NOAA-10 operated at an altitude of 833-km, with an equatorial crossing local time of 0730, having been launched in November 1986.\r\n\r\nThe ERBE instrument's main aim was to provide accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. \r\n\r\nThis dataset contains colour images (shortwave/longwave/net radiation, albedo, clear-sky albedo, clear-sky shortwave/longwave/net radiation, and shortwave/longwave/net cloud forcing) from scanning radiometers on the NOAA-10 ERBE satellites and for combined satellite cases. \r\n\r\nMonthly average values are included for the time periods during which the scanners were operational.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-04-22T21:35:21", "updateFrequency": "notPlanned", "dataLineage": "Data collected by NASA using the Earth Radiation Budget Satellite (ERBS) and the NOAA-10 satellite, processed and prepared by NASA. 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Computation: SRB satellite Pinker algorithm using ISCCP-C1 and ERBE data deployed on NASA Langley Atmospheric Science Data Center (ASDC); \n2. Computation: SRB satellite Staylor algorithm using ISCCP-C1 and ERBE data deployed on unknown computer; \n" }, "imageDetails": [ 52 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 3618, "uuid": "02c2212b02f8b8ce709f6b62503d124c", "short_code": "proj", "title": "NASA Earth Radiation Budget Experiment (ERBE)", "abstract": "The Earth Radiation Budget Experiment was designed around three Earth-orbiting satellites: the NASA Earth Radiation Budget Satellite (ERBS), and two NOAA satellites. The data from these satellites were used to study the radiation budget, which represents the balance between incoming energy from the Sun and outgoing thermal (longwave) and reflected (shortwave) energy from the Earth. The Earth's radiation budget is the primary indicator of global climate change. The absorbed shortwave radiation (incident minus reflected) fuels the earth's climate and biosphere systems. The longwave radiation represents the exhaust heat emitted to space. It can be used to estimate the insulating effect of the atmosphere (the greenhouse effect). It was also a useful indicator of cloud amount and activity. Consequently the ERBE has helped scientists worldwide better understand how clouds and aerosols, as well as some chemical compounds in the atmosphere (greenhouse gases), affect the Earth's daily and long-term weather (the Earth's climate). In addition, the ERBE data has helped scientists better understand how the amount of energy emitted by the Earth varies from day to night. These diurnal changes are also very important aspects of our daily weather and climate.\r\n\r\nIn the 1970's, NASA recognised the importance of the radiation budget and its effects on the Earth's climate. Langley Research Centre was charged with developing a new generation of instrumentation to make accurate regional and global measurements of the components of the radiation budget. The Goddard Space Flight Centre built the Earth Radiation Budget Satellite (ERBS) on which the first ERBE instruments were launched by the Space Shuttle Challenger in 1984. ERBE instruments were also launched on two National Oceanic and Atmospheric Administration (NOAA) weather monitoring satellites; NOAA 9 and NOAA 10, in 1984 and 1986.\r\n\r\nThe ERBE instrument aboard ERBS, launched from the Space Shuttle Challenger in October 1984 (STS-41G), had the main aim of providing accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. The other goals of the Earth Radiation Budget Experiment (ERBE) are:\r\n\r\n-to understand the radiation balance between the Sun, Earth, atmosphere and space which drives our weather and climate system.\r\n-to establish an accurate, long-term baseline dataset for studying climate system changes.\r\n\r\nAll of the initial goals were meet, and the ERBE instrument continues to provide valuable data. Earth Radiation Budget Experiment (ERBE) data are fundamental to the development of realistic climate models and for studying natural and anthropogenic perturbations of the climate system.\r\n\r\nThis CD-ROM contains data and colour images from scanning radiometers on the three ERBE satellites and for combined satellite cases. The CD-ROM is written using the ISO-9660 standard. 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The ERBE instrument's main aim was to provide accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. \r\n\r\nThis dataset collection contains colour images (shortwave/longwave/net radiation, albedo, clear-sky albedo, clear-sky shortwave/longwave/net radiation, and shortwave/longwave/net cloud forcing) from scanning radiometers on the three ERBE satellites and for combined satellite cases. Monthly average values are included for the time periods during which the scanners were operational. " } ], "responsiblepartyinfo_set": [ 45434, 45435, 45433, 45438, 45440, 45441, 45442, 45437, 45436, 45439 ], "onlineresource_set": [] }, { "ob_id": 11719, "uuid": "65f2c24dfe0fb9bf6c8da5d87b807850", "title": "Met Office Cyclone database charts", "abstract": "Synoptic charts from the Met Office's Cyclone Database, constructed from output stored in the database covering 2000-2005. The database holds lists of cyclones, their types and structural information about each cyclone and associated features as derived from analysis of the UK Met Office Unified Model. Database raw data available in its own dataset within this collection.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T01:42:54", "updateFrequency": "notPlanned", "dataLineage": "Data consisting of flat files from the database covering 2000-2005, provided by the Met Office for archiving at the BADC.", "removedDataReason": "", "keywords": "cyclone, Met Office", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-11-11T02:53:01", "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": 11720, "dataPath": "/badc/ukmo-cyclones/data/images/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 790, "numberOfFiles": 1, "fileFormat": "Data are in PNG graphics format" }, "timePeriod": { "ob_id": 153, "startTime": "2002-01-01T00:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 139, "explanation": "Data are based on Met Office operational unified model. 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The database holds lists of cyclones, their types and structural information about each cyclone and associated features as derived from analysis of the UK Met Office Unified Model.\r\n\r\nAccurate prediction of severe weather events is a key Met Office goal. As cyclonic systems are responsible for the vast majority of these events, accurate cyclone prediction is also high priority. Although huge strides have been made in numerical weather prediction (NWP) in recent years, cyclonic systems continue to pose problems for numerical models.\r\n\r\nThree \"exceptional\" depressions in the Christmas periods of 1997 and 1999, and another in early December 1999 were all poorly forecast by most of the world's operational models, indicating that there is plenty of scope for improvement. The rationale for constructing a cyclone database (previously called the \"Frontal Wave Database\") is described in detail in Hewson (1998b). The main motivation was the identification and representation of systematic model biases in new formats which, from most practical perspectives, represent a notable improvement on more traditional r.m.s. error based statistics. Evidently improved knowledge of cyclone forecast characteristics will be valuable not only to the NWP community, but also to forecasting, in part because operational practice now involves using \"Field Modification\" software to prepare forecast charts (Carroll, 1997), which can be used to correct for known biases." } ], "responsiblepartyinfo_set": [ 45445, 45446, 45447, 45449, 45450, 45451, 45452, 45448, 46247 ], "onlineresource_set": [] }, { "ob_id": 12156, "uuid": "1ad9a3862adc4991b8736e741ef9b2a9", "title": "Castor Bay C-band rain radar dual polar products", "abstract": "Dual-polar products from the Met Office's Castor Bay C-band rain radar, Belfast, Northern Ireland. Data include augmented ldr and zdr scan data (both long and short pulse). 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This collection includes rain composite plots and data for the UK and Europe, plus single site radar data including rain rate data, single and dual-polar data products. \r\n\r\nThese were produced by the Met Office's Nimrod system. Nimrod is a fully automated system for weather analysis and nowcasting based around a network of C-band rainfall radars. This dataset has the fine-resolution analyses of rain rate for the UK and Europe.\r\n\r\nThe UK has a network of C-band rainfall radars and data form these are processed by the Met Office NIMROD system. Four or five radar scans at different elevations at each site are processed to give the best possible estimate of rainfall at the ground. The main quality checking method is routine evaluation using rain gauges as ground truth.\r\n\r\nThe BADC holds the analyses of rainfall rate at a time resolution of 5 or 15 minutes. Data are available from late 2002. Images are available for the UK as well as a further image including neighbouring European countries from 1999. Data files are available on a 1 km and 5 km Cartesian grid. Single radar site data are available for 2 and 5 km Cartesian grids for various UK radar sites.\r\n\r\nThe value of radar-based data from the Nimrod system has been highlighted repeatedly. For example, in two severe flooding events during 1998 (at Easter over the Midlands and in late October over Wales), estimates of surface rainfall derived from radar data provided evidence of the extent and severity of the rainfall events. 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Radar images from the C-band (5.3 cm wavelength) radar are received by the Nimrod system 5 minute intervals respectively.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2018-01-02T00:15:03", "updateFrequency": "continual", "dataLineage": "Data are acquired from rain radar network in the UK and Europe by the Met Office's NIMROD system. Composite products (images and data) and single site data are then sent to the BADC by the Met Office's DART operational dissemination system. Raw polar data from single sites are sent through from the RADARNET team at the Met Office. 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Refer to linked documentation for further details." }, "timePeriod": { "ob_id": 3296, "startTime": "2004-04-05T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1503, "explanation": "Data are from the Met Office's operational NIMROD system", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-16" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5778, "uuid": "308e557d568942cdb2168ead70bc825c", "short_code": "acq", "title": "Acquisition Process for: Cobbacombe Rainfall Data from the Met Office Nimrod System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Met Office C-band radar, NIMROD system; PLATFORMS: Cobbacombe Cross Radar Station, UK;" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 5736, "uuid": "ced06d1e5a8eacb69bf0029bf5f0e17a", "short_code": "proj", "title": "Met Office NIMROD Database", "abstract": "The Met Office run the NIMROD system as a short-term forcasting tool, primarily used for collating observational data such as rain radar data from across Europe" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25899 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5709, "uuid": "82adec1f896af6169112d09cc1174499", "short_code": "coll", "title": "Met Office Rain Radar Data from the NIMROD System", "abstract": "A collection of products from rain radars operated by the Met Office and other European agencies for the UK and Europe. This collection includes rain composite plots and data for the UK and Europe, plus single site radar data including rain rate data, single and dual-polar data products. \r\n\r\nThese were produced by the Met Office's Nimrod system. Nimrod is a fully automated system for weather analysis and nowcasting based around a network of C-band rainfall radars. This dataset has the fine-resolution analyses of rain rate for the UK and Europe.\r\n\r\nThe UK has a network of C-band rainfall radars and data form these are processed by the Met Office NIMROD system. Four or five radar scans at different elevations at each site are processed to give the best possible estimate of rainfall at the ground. The main quality checking method is routine evaluation using rain gauges as ground truth.\r\n\r\nThe BADC holds the analyses of rainfall rate at a time resolution of 5 or 15 minutes. Data are available from late 2002. Images are available for the UK as well as a further image including neighbouring European countries from 1999. Data files are available on a 1 km and 5 km Cartesian grid. Single radar site data are available for 2 and 5 km Cartesian grids for various UK radar sites.\r\n\r\nThe value of radar-based data from the Nimrod system has been highlighted repeatedly. For example, in two severe flooding events during 1998 (at Easter over the Midlands and in late October over Wales), estimates of surface rainfall derived from radar data provided evidence of the extent and severity of the rainfall events. The 2 km data files reach to 100 km from the radar, the 5km files to 250 km.\r\n\r\nDetailed radar site location are given in the Met Office Weather Radar Factsheet.\r\n\r\nTime resolution is 5 or 15 minutes depending on the product.\r\n\r\nVarious scripts have been made available under the software directory to aid use of these data, including within GIS applications." } ], "responsiblepartyinfo_set": [ 46379, 46380, 46381, 46383, 46384, 46385, 46386, 46382 ], "onlineresource_set": [ 5497, 5495, 5496 ] }, { "ob_id": 12206, "uuid": "f6b766f9efe5488190fa4e37d0f01473", "title": "YET TO BE ARCHVIED: MISR Level 2 TOA/Cloud Albedo Data (MIL2TCAL)", "abstract": "Data products produced from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra. MISR is a unique instrument that has 9 cameras all pointing towards different directions, taking images in each of blue, green, red and infra-red band spectrum (centre wavelengths are 446, 558, 672 and 867 nm respectively). The information is used to investigate how sunlight scatters in the atmosphere in different natural conditions, and distinguish types of clouds, atmospheric particles and surfaces. The red and infra-red bands are used for vegetated surface identification and marine aerosol studies. The green band is used to study the albedo, while the blue band aids in the determination of particle size of the aerosol. EOS Terra is a satellite in the Earth Observation System, a group of polar-orbiting satellites which are dedicated to study Earth's climate.\r\n\r\n\r\nNOTE 29/10/2015 GAP: this record has been created in anticipation of these data coming over from the QA4ECV group workspace. It may never arrive.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": null, "updateFrequency": "", "dataLineage": "The data were obtained by the MISR Science Team, which were then downloaded and made available by the Quality Assurance for Essential Climate Variable (QA4ECV) Team to the NEODC for archiving after completeness checks had been carried out using MD5 checksums to ensure bitwise complete transfers.", "removedDataReason": "", "keywords": "MISR", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "underDevelopment", "dataPublishedTime": null, "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": null, "timePeriod": { "ob_id": 3050, "startTime": "2000-02-24T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 2839, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-24" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 10975, "uuid": "fdc27d133cdc43b093eea6ce3726af74", "short_code": "cmppr", "title": "Composite Process for: MISR Level 2 Aerosol Data (MIL2ASAE)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: MISR Level 2 Aerosol Data (MIL2ASAE); \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Terra Satellite, part of the Earth Observation System Morning Constellation (EOS-AM); \n" }, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 10971, "uuid": "739b287e4a047758ffc675c33d7f64c4", "short_code": "proj", "title": "Multi-angle Imaging SpectroRadiometer (MISR) Mission", "abstract": null } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 10968, "uuid": "dc2d503c1ff1ffc7ada8b25e0ba3009d", "short_code": "coll", "title": "Multi-angle Imaging SpectroRadiometer (MISR) Data", "abstract": "Data products produced from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra. MISR is a unique instrument that has 9 cameras all pointing towards different directions, taking images in each of blue, green, red and infra-red band spectrum (centre wavelengths are 446, 558, 672 and 867 nm respectively). The information is used to investigate how sunlight scatters in the atmosphere in different natural conditions, and distinguish types of clouds, atmospheric particles and surfaces. The red and infra-red bands are used for vegetated surface identification and marine aerosol studies. The green band is used to study the albedo, while the blue band aids in the determination of particle size of the aerosol. EOS Terra is a satellite in the Earth Observation System, a group of polar-orbiting satellites which are dedicated to study Earth's climate." } ], "responsiblepartyinfo_set": [ 46544, 50780, 46547, 46541, 46542, 46543, 46545, 46546 ], "onlineresource_set": [] } ] }