Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=6600
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=6700", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=6500", "results": [ { "ob_id": 30548, "uuid": "79adaf540c7346e8b7b70b66bddeebe6", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Royal Holloway Earth Sciences Monitoring Station, Egham, UK, 2015 to 2020", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Royal Holloway Earth Sciences Monitoring Station, UK at Royal Holloway University of London. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T02:05:37", "updateFrequency": "notPlanned", "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataReason": "", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-08-19T10:48:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2629, "bboxName": "", "eastBoundLongitude": -0.561, "westBoundLongitude": -0.561, "southBoundLatitude": 51.427, "northBoundLatitude": 51.427 }, "verticalExtent": null, "result_field": { "ob_id": 30549, "dataPath": "/badc/moya/data/stations/egham", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11477, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": { "ob_id": 8318, "startTime": "2015-11-16T00:00:00", "endTime": "2020-03-02T00:00:00" }, "resultQuality": { "ob_id": 3427, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)..\n\n", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-05" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 30550, "uuid": "e238399044e14ab487aa5f2abfc2e048", "short_code": "acq", "title": "Acquisition for: Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Royal Holloway Earth Sciences Monitoring Station, Egham, UK, 2015 to 2020", "abstract": "Acquisition for: Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Royal Holloway Earth Sciences Monitoring Station, Egham, UK, 2015 to 2020" }, "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": 24718, "uuid": "dd2b03d085c5494a8cbfc6b4b99ca702", "short_code": "proj", "title": "Methane Observations and Yearly Assessments (MOYA)", "abstract": "MOYA was a NERC funded research programme which began in May 2016 and will run for four years. Sixteen research partners make up the MOYA consortium.\r\n\r\nThe central objective of the MOYA project is to move towards closing the global methane budget through undertaking new observations and further analysis of existing data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 65436, 65437, 65444, 65449, 65450, 83060, 83061 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 24762, "uuid": "d309a5ab60b04b6c82eca6d006350ae6", "short_code": "coll", "title": "MOYA: ground station and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "This dataset collection contains ground observations and in-situ airborne observations by the FAAM BAE-146 aircraft for Methane Observations and Yearly Assessments: MOYA.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." } ], "responsiblepartyinfo_set": [ 132196, 132193, 132197, 132198, 132200, 132194, 132199, 132195, 132201, 168393, 132202, 132203, 132204 ], "onlineresource_set": [ 37910, 37911 ] }, { "ob_id": 30552, "uuid": "4d403b47cae546ca9b749c0ac932e37c", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Hong Kong 2017-2019", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples around Hong Kong Island. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-05T15:43:24", "updateFrequency": "notPlanned", "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataReason": "", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-08-19T10:43:54", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2630, "bboxName": "", "eastBoundLongitude": 114.28, "westBoundLongitude": 114.12, "southBoundLatitude": 22.2, "northBoundLatitude": 22.29 }, "verticalExtent": null, "result_field": { "ob_id": 30553, "dataPath": "/badc/moya/data/stations/hong-kong", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15763, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": { "ob_id": 8319, "startTime": "2017-05-17T00:00:00", "endTime": "2019-04-17T00:00:00" }, "resultQuality": { "ob_id": 3428, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)..\n\n", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-05" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 30554, "uuid": "dca44568ba2c49ee851aa7c2a849993d", "short_code": "acq", "title": "Acquisition for: Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Hong Kong 2017-2019", "abstract": "Acquisition for: Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Hong Kong 2017-2019" }, "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": 24718, "uuid": "dd2b03d085c5494a8cbfc6b4b99ca702", "short_code": "proj", "title": "Methane Observations and Yearly Assessments (MOYA)", "abstract": "MOYA was a NERC funded research programme which began in May 2016 and will run for four years. Sixteen research partners make up the MOYA consortium.\r\n\r\nThe central objective of the MOYA project is to move towards closing the global methane budget through undertaking new observations and further analysis of existing data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 65436, 65437, 65444, 65445, 65446, 65447, 65448, 91912, 91913 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 24762, "uuid": "d309a5ab60b04b6c82eca6d006350ae6", "short_code": "coll", "title": "MOYA: ground station and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "This dataset collection contains ground observations and in-situ airborne observations by the FAAM BAE-146 aircraft for Methane Observations and Yearly Assessments: MOYA.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." } ], "responsiblepartyinfo_set": [ 132207, 132208, 132209, 132210, 132211, 132212, 132214, 132213, 132215, 168395, 132216, 132217, 132218 ], "onlineresource_set": [ 37912, 37913 ] }, { "ob_id": 30555, "uuid": "e43f9bab3ae240d8a4bb331ea7c67149", "title": "Methane production in the Artic: Isotopic d13C methane measurements taken from Alaskan wetland, 2018 - 2019", "abstract": "Isotopic sampling of methane from tedlar bag samples collected over Alaskan wetlands, samples analysed at Royal Holloway University of London\r\n\r\nThis dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples over Alaskan wetlands. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of theMethane Production in the Arctic: Under-recognized Cold Season and Upland Tundra - Arctic Methane Sources (UAMS) project funded by the Natural Environment Research Council (NERC) (NE/P002552/1).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-11-02T14:47:33", "updateFrequency": "notPlanned", "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataReason": "", "keywords": "Methane, d13C, Isotope, NERC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2020-08-19T10:38:47", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2631, "bboxName": "", "eastBoundLongitude": -156.35, "westBoundLongitude": -157.24, "southBoundLatitude": 70.28, "northBoundLatitude": 71.19 }, "verticalExtent": null, "result_field": { "ob_id": 30556, "dataPath": "/badc/deposited2020/uams-methane-artic/data/alaskan-wetland/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 54373, "numberOfFiles": 3, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": { "ob_id": 8320, "startTime": "2018-06-22T00:00:00", "endTime": "2019-10-14T00:00:00" }, "resultQuality": { "ob_id": 3429, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)..\n\n", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-05" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 30557, "uuid": "e3409b6b51fa4cdd916dcb172df2c622", "short_code": "acq", "title": "Acquisition for: Methane production in the Artic: Isotopic d13C methane measurements taken from Alaskan wetland, 2018 - 2019", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 24879, "uuid": "40a0c160907f4215a2d06ced9bc51d5e", "short_code": "proj", "title": "Methane Production in the Arctic: Under-recognized Cold Season and Upland Tundra - Arctic Methane Sources (UAMS)", "abstract": "This project used state of the art approaches and knowledge to better understand the current patterns of and controls on methane (CH4) release from the Arctic to the atmosphere and to improve major models to better simulate future releases of CH4 from the Arctic as the planet warms. Atmospheric methane (CH4) is the second most important greenhouse gas (after CO2) that has strong anthropogenic origins. High northern latitude terrestrial ecosystems account for ca. 50% of extra-tropical biogenic wetland emissions. More importantly methane emissions from the Arctic could increase dramatically in the future. The very large organic carbon stocks (>1,300 GtC) in the top 3 m of Arctic soils and the rapid climate change experienced and predicted in the Arctic, results in a very real possibility of large biogenic CH4 release from these soils in this century. Despite the importance of CH4 fluxes from the Arctic, now and in the future, biogenic and total natural CH4 emissions are poorly understood and very poorly modelled (Fisher et al., 2014).\r\n\r\nIn 2013 five eddy covariance (EC) towers in Arctic Alaska were updated to operate reliably year-round and measure CH4 fluxes. Initial measurements yielded two unexpected and highly significant findings: 1) cold season CH4 emissions account for >50% of annual emissions and 2) drier upland tundra are larger emitters of CH4 than wetter inundated tundra (Zona et al 2016 PNAS). These observations and processes are not now incorporated in leading global land-surface/carbon-cycle models used to calculate current and predict future CH4 emissions from the Arctic. Verifying this new understanding and incorporating this understanding into models used in the UK and elsewhere revolutionised our ability to accurately calculate and model terrestrial CH4 fluxes. These results are critical to verifying current baseline emissions, detecting a changing baseline, and for predicting, with confidence, biogenic CH4 emissions from the Arctic in the future. This project has two overarching objectives: (1) determining the patterns of, controls on, and importance of cold season and upland tundra in Arctic CH4 emissions; (2) incorporating this understanding into JULES, LPJ and TCF, thus significantly improving our ability to estimate current and predict future CH4 fluxes in the Arctic. This work has impacted policy through new information and model development, reported through conferences and publications and referenced in upcoming IPCC reports. In the project, year-round observation of methane release to the atmosphere, and the atmospheric and soil environment that corresponds to these fluxes. The project initiated new experiments and observations to understand the processes and conditions controlling the observed CH4 fluxes including a new system of measurement of CO2, CH4, and 222Rn concentrations that allow autonomous, year-round, determination of CH4 production, consumption, and flux by soil depth and snow layer. The year-round measure of [CH4] and d13CH4 helped identify the importance of methane oxidation in surface soil layers at different locations and seasons and determined the role of GPP in controlling rates of CH4 production. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 132337, 132338, 132339, 132341, 132342, 132340, 145293, 145294, 132343, 132344, 132345, 132346, 132347, 132348, 132349, 132350, 132351, 132352, 132353, 132354, 132355, 132356, 132357, 132358, 132359, 132360, 132361, 132362, 132363, 132364, 132365, 132366, 132367, 132368, 132369, 132370, 132371, 132372 ], "onlineresource_set": [ 37967, 37968, 37965, 37969, 37966, 38047 ] }, { "ob_id": 30590, "uuid": "51fc11a9438b466db2ec8bd098efe7d5", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4.2 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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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. 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Later versions of the data are now available." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. 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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. 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It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. 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For details of validation see the linked Product User Guide and documentation on the Ocean Colour CCI website (https://climate.esa.int/en/projects/ocean-colour/)", "passesTest": true, "resultTitle": "Ocean Colour CCI data quality", "date": "2019-10-31" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 28111, "uuid": "dabd286122454a2abfd92884b6ff2f3f", "short_code": "comp", "title": "Derivation of Ocean Colour v4 data from the ESA Climate Change Initiative Ocean Colour project (Ocean_Colour_cci)", "abstract": "The ocean colour CCI has calculated ocean colour Essential Climate Variable data, using input data from various satellite instruments, as part of the ESA Climate Change Initiative program.\r\n\r\nThe v4 dataset has been created by band-shifting and bias-correcting MERIS, MODIS and VIIRS data to\r\nmatch SeaWiFS data, merging the datasets and computing per-pixel uncertainty estimates.\r\n\r\nFor more information see the Ocean Colour v4 Product User Guide." }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2538, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 18, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_oc_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13365, "uuid": "de8aeb4f1bec4348a1e475691ea651d4", "short_code": "proj", "title": "ESA Ocean Colour Climate Change Initiative Project", "abstract": "The European Space Agency Ocean Colour Climate Change Initiative (Ocean Colour CCI) project aims to produce long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n \r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 3301, 3302, 12064, 12066, 12284, 12287, 18488, 18575, 18596, 21134, 21135 ], "vocabularyKeywords": [ { "ob_id": 11103, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_meris", "resolvedTerm": "MERIS" }, { "ob_id": 11105, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_modis", "resolvedTerm": "MODIS" }, { "ob_id": 11120, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_seaWiFs", "resolvedTerm": "SeaWiFS" }, { "ob_id": 11056, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_viirs", "resolvedTerm": "VIIRS" }, { "ob_id": 10784, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_aqua", "resolvedTerm": "Aqua" }, { "ob_id": 10808, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_envisat", "resolvedTerm": "Envisat" }, { "ob_id": 10903, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_orbview2", "resolvedTerm": "Orbview-2" }, { "ob_id": 10914, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_snpp", "resolvedTerm": "SNPP" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30608, "uuid": "d62f7f801cb54c749d20e736d4a1039f", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 4.2 Data", "abstract": "This collection contains version 4.2 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 4.2 data products held in the CEDA archive covering the period 1997-2019. Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available." }, { "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": [ 132665, 132666, 132662, 132663, 132664, 132667, 145295, 145296, 132668, 132669, 132670, 132671, 132672, 132673, 132674, 132675, 132676, 132677, 132678, 132679, 132680, 132681, 132682, 132683, 132684, 132685, 132686, 132687, 132688, 132689, 132690, 132691, 132692, 132693, 132694, 132695, 132696, 132697 ], "onlineresource_set": [ 38014, 38012, 38010, 38011, 38013, 38052 ] }, { "ob_id": 30611, "uuid": "f9a0eaf6cfb8479f89a62ecbc091ec7d", "title": "Auchencorth Moss Atmospheric Observatory (AU): Hourly averaged 4-pi filter radiometer measurements (21/11/2018 - 20/11/2019) near Edinburgh (UK)", "abstract": "This dataset contains hourly averaged 4-pi filter radiometer measurements of the rate constant of NO2 photolysis, j(JNO2) from both downwelling radiation (direct and diffuse radiation from the above atmosphere) and upwelling (diffuse radiation from the atmosphere below). Data are reported in s^-1.\r\n\r\nMeasurements made at Auchencorth Moss (55ᵒ47’36” N, 3°14’41” W), for more information see http://www.auchencorth.ceh.ac.uk/. The instrument was situated in a clear section of the site, 3 m above ground level. The surface cover consisted of long grasses (~15 cm), often covered by frost/snow in the winter months (December - February). Data were collected between 2018/11/21 12:00 - 2019/11/20 23:00, using a j(NO2) 4-pi filter radiometer manufactured by Meteorologie Consult GmbH (MetCon) measuring broadband actinic flux between ~310-420 nm. The instrument was operated and data were collected by staff at the UK Centre for Ecology & Hydrology. Most of the missing data are between 2019/06/13-25, due to the instrument being relocated for calibration. Other incidences of missing data occur due to power cuts at the site and problems with the data collection. This data comprises the start of a long-term time series of filter radiometer measurements at Auchencorth Moss, in order to provide data access to evaluate j-values in current radiation models and parameterisations.\r\n\r\nThe ongoing operation of the j(NO2) filter radiometer is supported by the UK Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2020-06-10T13:32:44", "updateFrequency": "notPlanned", "dataLineage": "Data were collected at 1-second resolution and filtered by the limit of detection for each dome and topping out for the downwelling dome (>9.9 V). Values were converted into s-1 based on calibration factors. For more information please contact the data authors.", "removedDataReason": "", "keywords": "Auchencorth Moss, radiometer, NE/R016429/1", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-06-15T14:35:31", "doiPublishedTime": "2020-06-17T13:55:22", "removedDataTime": null, "geographicExtent": { "ob_id": 2633, "bboxName": "", "eastBoundLongitude": -3.2429, "westBoundLongitude": -3.2429, "southBoundLatitude": 55.79216, "northBoundLatitude": 55.79216 }, "verticalExtent": null, "result_field": { "ob_id": 30612, "dataPath": "/badc/auchencorth/data/auchencorth-moss-jno2/v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 355009, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": { "ob_id": 8344, "startTime": "2018-11-21T12:00:00", "endTime": "2019-11-20T23:00:00" }, "resultQuality": { "ob_id": 3431, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 30614, "uuid": "e9d23ef7634d469a87b25297a88ea3d5", "short_code": "acq", "title": "Acquisition for: Hourly averaged 4-pi filter radiometer measurements at Auchencorth Moss (21/11/2018 - 20/11/2019) near Edinburgh (UK)", "abstract": "Acquisition for: Hourly averaged 4-pi filter radiometer measurements at Auchencorth Moss (21/11/2018 - 20/11/2019) near Edinburgh (UK)" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 132 ], "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": 25088, "uuid": "3b93f94481a841f68bc1ce1e975e3ead", "short_code": "proj", "title": "Auchencorth Moss Atmospheric Observatory (AU) and associated Field sites", "abstract": "During 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\n\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements but since 2014 we have been moving towards these standards as well as enhancing instrumentation. Similar measurements are also made at nearby Easter Bush Field site by the same team." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 67435, 67436, 67437 ], "vocabularyKeywords": [], "identifier_set": [ 10723 ], "observationcollection_set": [ { "ob_id": 25087, "uuid": "55c74c02ec8e4afea309043d110a93e7", "short_code": "coll", "title": "Auchencorth Moss Atmospheric Observatory (AU) and associated field sites: Meteorological observations", "abstract": "The Auchencorth Moss Atmospheric Observatory was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, UK, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep ha^-1.\r\n\r\nDuring 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\nSimilar measurements are also made at nearby Easter Bush Field site by the same team.\r\n\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements." } ], "responsiblepartyinfo_set": [ 132737, 132738, 132739, 132740, 132741, 132742, 132744, 132743, 132745, 168933, 132746, 132747, 132748, 132749, 132750, 132751 ], "onlineresource_set": [ 38019 ] }, { "ob_id": 30617, "uuid": "0b7821d872fd4ea997c58e08afd3ec07", "title": "ZWAMPS: Isotopic d13C methane measurements taken from, Zambia 2019", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples around Zambia. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the ZWAMPS: Quantifying methane emissions in remote tropical settings: a new 3D approach project funded by the Natural Environment Research Council (NERC) NE/S00159X/1.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-11T15:52:09", "updateFrequency": "notPlanned", "dataLineage": "Data were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataReason": "", "keywords": "ZWAMPS, methane, Zambia, NERC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-08-19T11:05:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2634, "bboxName": "", "eastBoundLongitude": 14.28, "westBoundLongitude": 15.3, "southBoundLatitude": -15.9, "northBoundLatitude": -14.4 }, "verticalExtent": null, "result_field": { "ob_id": 30618, "dataPath": "/badc/zwamps/data/station/zambia", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5501, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": { "ob_id": 8345, "startTime": "2019-01-29T00:00:00", "endTime": "2019-02-07T00:00:00" }, "resultQuality": { "ob_id": 3432, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 30619, "uuid": "690cfc87f69441ada645eb00b2fbffde", "short_code": "acq", "title": "Acquisition for: ZWAMPS: Isotopic d13C methane measurements taken from, Zambia 2019", "abstract": "" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 27878, "uuid": "d799a0ae471e4e23995dfbe905f52056", "short_code": "proj", "title": "Quantifying methane emissions in remote tropical settings: a new 3D approach", "abstract": "The purpose of this project was to develop a viable methodology to quantify methane emissions in remote seasonal tropical wetland settings in Africa, and thus to place constraints on the causes of growth. The NERC/Met Office FAAM aircraft was scheduled to be deployed to Uganda in early 2019: this proposal builds on the opportunity that deployment offers, by adding a detachment to the major seasonal southern tropical wetlands in Zambia's Congo and Zambesi river drainages.\r\n\r\nGrant Ref: NE/S00159X/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 65435, 65436, 65437, 65438, 65439, 65440, 65441, 65442, 65443 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 27881, "uuid": "e489099fb2844a1192036a6323238ef4", "short_code": "coll", "title": "Zwamps: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for ZWAMPS FAAM Aircraft Project (Zwamps)." } ], "responsiblepartyinfo_set": [ 132753, 132754, 132755, 132756, 132757, 132758, 132760, 132759, 132761, 168935, 132762, 132763, 132764 ], "onlineresource_set": [ 38020 ] }, { "ob_id": 30635, "uuid": "7127b3e2decb4d3cbc89415544cc5b2e", "title": "FAAM C230 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2022-05-11T15:12:15", "updateFrequency": "asNeeded", "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "Instrument, FAAM, airborne, atmospheric measurments", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2020-06-16T15:17:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 2638, "bboxName": "", "eastBoundLongitude": -0.4831504821777344, "westBoundLongitude": -7.081752300262451, "southBoundLatitude": 50.495399475097656, "northBoundLatitude": 52.27880096435547 }, "verticalExtent": null, "result_field": { "ob_id": 30634, "dataPath": "/badc/faam/data/2020/c230-mar-10", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1539471546, "numberOfFiles": 26, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted." }, "timePeriod": { "ob_id": 8350, "startTime": "2020-03-10T08:18:15", "endTime": "2020-03-10T15:09:48" }, "resultQuality": { "ob_id": 3074, "explanation": "Data collected by flight participants before preparation for archival with the Centre for Environmental Data Analysis (CEDA).", "passesTest": true, "resultTitle": "FAAM to CEDA Data Quality Statement", "date": "2015-09-03" }, "validTimePeriod": null, "procedureAcquisition": null, "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": 12946, "uuid": "718a0508440b4ee4b965c6d4e5843bc5", "short_code": "proj", "title": "FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects.", "abstract": "Some flights made on board the the FAAM (Facility for Airborne Atmospheric Measurement) BAe-146 aircraft are for instrument testing, calibration or training purposes, as well as non-science demonstration flights. This flying differs from regular flights which are conducted for a specific project." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50834, 50835, 50836, 50837, 50838, 50839, 50840, 50841, 50842, 50843, 50844, 50845, 50846, 50847, 50848, 50849, 50850, 50851, 50852, 50853, 50854, 50855, 50856, 50857, 50858, 50859, 50860, 50861, 50862, 50863, 50864, 50865, 50866, 50867, 50868, 50869, 50870, 50871, 50872, 50873, 50874, 50875, 50876, 50877, 50878, 50879, 50880, 50881, 50882, 50883, 50884, 50885, 50888, 50889, 50890, 50891, 50892, 50893, 50894, 50895, 50896, 50897, 50898, 50899, 50900, 50901, 50902, 50903, 50904, 50905, 50906, 50907, 50908, 50909, 50910, 50911, 50912, 50913, 50914, 50915, 50916, 50917, 50920, 50925, 50926, 50927, 50928, 50929, 50932, 50933, 50934, 50935, 50936, 50937, 50938, 50939, 50940, 50941, 50942, 50944, 50945, 50946, 50947, 50948, 50949, 50950, 50951, 50952, 50953, 50954, 50955, 50956, 50957, 50960, 50965, 50966, 50967, 50968, 50969, 50970, 50971, 50972, 50973, 50974, 50978, 50979, 50980, 50981, 50982, 50983, 50984, 50985, 50986, 50987, 50988, 50989, 50990, 50991, 50992, 50993, 50994, 50995, 50996, 50997, 50998, 50999, 51000, 51001, 51002, 51003, 51004, 51005, 51006, 51007, 51008, 51009, 51010, 51011, 51012, 51013, 51014, 51015, 51016, 51017, 51018, 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027, 51028, 51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037, 51038, 51039, 51040, 51041, 51042, 51043, 51044, 51045, 51046, 51047, 51049, 51054, 51055, 51056, 51057, 51058, 51059, 51060, 51061, 51062, 51063, 51064, 51065, 51066, 51067, 51068, 51069, 51070, 51071, 51072, 51073, 51074, 51075, 51076, 51077, 51078, 51079, 51080, 51081, 51082, 51083, 51084, 51087, 51088, 51091, 51092, 51093, 51098, 51099, 51100, 51101, 51123, 51124, 51128, 51129, 51131, 51133, 51142, 51144, 51145, 51308, 51981, 53614, 53738, 53951, 55818, 60089, 60090, 60091, 60092, 60093, 60094, 60095, 60096, 60097, 60098, 60099, 60100, 60101, 60102, 60103, 60104, 60105, 60106, 60107, 60108, 60109, 60110, 60111, 60112, 60113, 60114, 60115, 60116, 60117, 60118, 60119, 60178, 60197, 60198, 60297, 60298, 60299, 60300, 60301, 60302, 60303, 60304, 60305, 60306, 60307, 60308, 60309, 62300, 62301, 62302, 62303, 62304, 62305, 62306 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5782, "uuid": "affe775e8d8890a4556aec5bc4e0b45c", "short_code": "coll", "title": "Facility for Airborne Atmospheric Measurements (FAAM) flights", "abstract": "The FAAM is a large atmospheric research BAE-146 aircraft, run by the NERC (jointly with the UK Met Office until 2019). It has been in operation since March 2004 and is at the scientists' disposal through a scheme of project selection. \r\n\r\nData collected by this aircraft is stored in the FAAM data archive and includes \"core\" data, provided by the FAAM as a support to all flight campaigns, and \"non-core\" data, the nature of which depends on the scientific goal of the campaign.\r\n\r\nFAAM instruments provide four types of data: \r\n\r\n- parameters required for aircraft navigation; \r\n- meteorology; \r\n- cloud physics; \r\n- chemical composition. \r\n\r\nThe data are accompanied by extensive metadata, including flight logs. The FAAM apparatus includes a number of core instruments permanently onboard and operated by FAAM staff members, and a variety of other instruments, grouped into chemistry kit and cloud physics kit, that can be fitted onto the aircraft on demand. \r\nFAAM is also a member of the EUropean Facility for Airborne Research (EUFAR) fleet of research aircraft.\r\n\r\nAs per NERC data policy (see documents), FAAM data are openly available upon registration with the CEDA archive (anyone can register) under the Open Government Licence. Raw data are retained for longterm preservation but are not intended for general use." } ], "responsiblepartyinfo_set": [ 132803, 132804, 132805, 132806, 132809, 132810, 132811, 132812, 132807, 132808 ], "onlineresource_set": [] }, { "ob_id": 30637, "uuid": "5bbf48b128bd488dbb10a56111feb36a", "title": "CLASSnmat: monthly, global, gridded night marine air temperature data", "abstract": "Climate Linked Atlantic Sector Science (CLASS)nmat is a global dataset of monthly mean night marine air temperature (NMAT) that is produced on a 5° latitude by 5° longitude regular grid and covers the period 1880 to 2019.\r\n\r\nThe temperature values are taken from version 3.0.0 of the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) for the period 1880-2014 and from version 3.0.2 of ICOADS thereafter. The in situ air temperature readings recorded between one hour after sunset and one hour after sunrise have been extracted from ICOADS and the ship data have been adjusted to reduce the effects of varying thermometer heights. The data have been adjusted from their respective recording heights to each of three reference heights: 2m, 10m and 20m. The air temperature readings have been subjected to a quality-control procedure and values that fail these tests have been excluded. Duplicate values have also been excluded. Additional adjustments have been applied to the data during the Second World War to account for non-standard thermometer exposures on some ships.\r\n\r\nThe adjusted data have been aggregated into monthly mean values in each grid-cell; uncertainty estimates of these gridded values are also provided. The data have not been interpolated across missing grid boxes. In addition to the absolute temperature values, the gridded data also contain anomalies that are expressed with respect to three climatological averages (1961-90, 1971-2000 and 1981-2010).\r\n\r\nAverages across three large-scale domains are provided and these have been calculated from the 10m gridded anomaly data fields and these data are provided in comma-separated values (CSV) files. Uncertainty estimates in these averages are also provided.\r\n\r\nDataset description:\r\nGridded data:\r\nFor each of the reference heights (2m, 10m and 20m) there are three files for each of the base periods. These files contain the absolute gridded data at the respective height, the anomaly values and the uncertainty estimates. The uncertainty estimates consist of three components (correlated, uncorrelated sampling) along with the total uncertainty estimates. Uncertainty values from the climatology estimates are also provided. The climatology files contain the smoothed climatology values along with the 200-member ensemble of climatology realizations, which are used to construct the climatology uncertainties. All uncertainties are 1-sigma values.\r\n\r\nTime series data:\r\nMonthly and annual anomaly averages across four regions are provided as CSV files: Global, northern/southern hemispheres and the tropics (30S-30N). These files also contain the corresponding uncertainty values.\r\n\r\nFormat:\r\nThe gridded files are available as NetCDF 4 files, and use a factor 6 compression level. The NetCDF files meet CF-compliance version 1.6. The time series data (large-scale averages) computed from the gridded data are available as comma-separated values (CSV).\r\n\r\nPlease note that the current public release of ICOADS for the period after 2015 (the near-real-time updates) is version 3.0.1. In CLASSnmat we have used version 3.0.2, which is currently a test version and is not yet publicly available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-19T12:32:29", "updateFrequency": "", "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataReason": "", "keywords": "CLASS, temperature, marine, global", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-06-26T10:07:38", "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": 30636, "dataPath": "/badc/deposited2020/class/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2424199722, "numberOfFiles": 1772, "fileFormat": "Data are netCDF and BADC-CSV formatted." }, "timePeriod": { "ob_id": 8351, "startTime": "1880-01-01T00:00:00", "endTime": "2019-12-31T23:59:59" }, "resultQuality": { "ob_id": 3438, "explanation": "Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2020-06-19" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 30639, "uuid": "9058edd550624de69a8b2a882d11b65c", "short_code": "comp", "title": "CLASSnmat: a monthly, global, gridded night marine air temperature data", "abstract": "The temperature values are taken from version 3.0.0 of the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) for the period 1880-2014 and from version 3.0.2 of ICOADS thereafter. The in situ air temperature readings recorded between one hour after sunset and one hour after sunrise have been extracted from ICOADS and the ship data have been adjusted to reduce the effects of varying thermometer heights. The data have been adjusted from their respective recording heights to each of three reference heights: 2m, 10m and 20m. The air temperature readings have been subjected to a quality-control procedure and values that fail these tests have been excluded. Duplicate values have also been excluded. Additional adjustments have been applied to the data during the Second World War to account for non-standard thermometer exposures on some ships.\r\nThe adjusted data have been aggregated into monthly mean values in each grid-cell; uncertainty estimates of these gridded values are also provided. The data have not been interpolated across missing grid boxes. In addition to the absolute temperature values, the gridded data also contain anomalies that are expressed with respect to three climatological averages (1961-90, 1971-2000 and 1981-2010)." }, "procedureCompositeProcess": null, "imageDetails": [], "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": 30638, "uuid": "d77a80020c704f5fb9c3d628c8c6f3b7", "short_code": "proj", "title": "Climate Linked Atlantic Sector Science (CLASS)", "abstract": "CLASS will deliver the knowledge and understanding of the Atlantic Ocean system that society needs to make evidence-based decisions regarding ocean management. We aim to address key knowledge gaps in our understanding of ocean variability, climate regulation and ocean services, and to assess how the ocean will evolve as a result of climate change and intensified human exploitation." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 29130, 29131, 29132, 29133, 29134, 29135, 29136, 29148, 29149, 56184, 57649, 59154, 59155, 63011, 63972, 70766, 70767, 70769, 70770, 70771, 70772, 70773, 70774, 70775, 70776, 70777, 70778, 70779, 70780, 70781, 70782, 70783, 70784, 70785, 70786, 70787, 70788, 70789, 70790, 70791, 70792, 70793, 70794, 70795, 70796, 70797, 70798, 70799, 70800, 70801, 70802, 70803, 70804, 70805, 70806, 70807, 70808, 89515 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ 132813, 132814, 132815, 132817, 132818, 132819, 132820, 132816, 132821, 168937, 132822, 132823 ], "onlineresource_set": [] }, { "ob_id": 30640, "uuid": "f1ad922db5f94bad8c0a9aa82599ba8f", "title": "EUSTACE: Global land station daily air temperature measurements with non-climatic discontinuities identified, for 1850-2015, v1.1", "abstract": "This dataset consists of a global collection of land surface air temperature data from meteorological stations covering the period from 1850-2015. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. This version 1.1 is an update to the v1.0 dataset that fixes a bug in the time values in the original files; the data is otherwise identical.\r\n\r\nThe dataset provides daily maximum and minimum temperatures from stations globally, brought together from a number of public databases: Global Historical Climatology Network Daily Temperatures (GHCN-D); European Climate Assessment & Dataset (ECA&D) non-blended; International Surface Temperature Initiative (ISTI); DECADE (Data on Climate and Extreme weather for the Central Andes); and ERA-CLIM (European Reanalysis of Global Climate Observations). These data have then been quality controlled through the removal of duplicates and unreliable data sources, and come with a large amount of additional information on quality, homogeneity and resolution.\r\n\r\nThese data are available for non-commercial use.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-07-02T17:26:16", "updateFrequency": "notPlanned", "dataLineage": "Data have been produced and archived for the EU EUSTACE project, which has received funding by the European Union's Horizon 2020 research and innovation programme under grant agreement no 640171. \r\n\r\nThis dataset is built on data from the following data collections:\r\nGlobal Historical Climatology Network (GHCN)-Daily, European Climate Assessment & Dataset (ECA&D), International Surface Temperature Initiative (ISTI), the DECADE datasets for the Central Plateau in South America, and surface observations digitised during the ERA-CLIM project. (See the documentation section for references)\r\n\r\nThe following data providers also contributed to the full EUSTACE product, but data could not be redistributed due to licensing: Servicio Meteorológico Nacional (SMN); Royal Netherlands Meteorological Institute (KNMI); University of Bern", "removedDataReason": "", "keywords": "eustace, land surface temperature, station", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2020-07-02T16:55:37", "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": 30654, "dataPath": "/neodc/eustace/data/station/ubern/land/global/daily/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20092856069, "numberOfFiles": 169, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 7247, "startTime": "1850-01-01T00:00:00", "endTime": "2015-12-31T23:59:59" }, "resultQuality": { "ob_id": 3216, "explanation": "Data have been quality controlled as described in the product user guide", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2019-01-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 26931, "uuid": "fd310daa42fd4f18a7f73aee86a248ff", "short_code": "comp", "title": "Derivation of the EUSTACE land station daily air temperature measurements with non-climatic discontinuities identified", "abstract": "The EUSTACE dataset, 'Global land station daily air temperature measurements with non-climatic discontinuities applied, for 1850-2015', has been produced by bringing together daily maximum and minimum temperatures from various public databases (GHCN-D, ECA&D, DECADE, ISTI and ERA-CLIM). These data have then been quality controlled through the removal of duplicates and unreliable data sources, and were assessed for homogenity by applying tests to look for breakpoints in the time series.\r\nThe data were also assessed to provide a rough estimation of the reporting resolution for each year in the series.\r\n\r\nFor further details see the EUSTACE product user guide.\r\n\r\nThe following datasets have been used as input:\r\nGlobal Historical Climatology Network (GHCN)-Daily v3.22 (Menne, M. J., Durre, I., Vose, R. S., Gleason, B. E., & Houston, T. G. (2012). An overview of the global historical climatology network-daily database. Journal of Atmospheric and Oceanic Technology, 29(7), 897-910.); European Climate Assessment & Dataset (ECA&D) – October 2016 update (Klein-Tank, A., Wijngaard, J. B., Können, G. P., Böhm, R., Demarée, G., Gocheva, A., et al. (2002). Daily dataset of 20th‐century surface air temperature and precipitation series for the European Climate Assessment. International Journal of Climatology, 22(12), 1441-1453.); International Surface Temperature Initiative (ISTI) v1.00 (Rennie, J. J., Lawrimore, J. H., Gleason, B. E., Thorne, P. W., Morice, C. P., Menne, M. J., et al. (2014). The international surface temperature initiative global land surface databank: Monthly temperature data release description and methods. Geoscience Data Journal, 1(2), 75-102.); Project DECADE (Hunziker, S., Gubler, S., Calle, J., Moreno, I., Andrade, M., Velarde, F., et al. (2017). Identifying, attributing, and overcoming common data quality issues of manned station observations. International Journal of Climatology, 37(11), 4131-4145.); Projects ERA-CLIM / ERA-CLIM2 (Stickler, A., Brönnimann, S., Valente, M. A., Bethke, J., Sterin, A., Jourdain, S., et al. (2014). ERA-CLIM: historical surface and upper-air data for future reanalyses. Bulletin of the American Meteorological Society, 95(9), 1419-1430.)" }, "procedureCompositeProcess": null, "imageDetails": [ 214 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2561, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 32, "licenceURL": "http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/", "licenceClassifications": [ { "ob_id": 6, "classification": "personal" }, { "ob_id": 4, "classification": "academic" }, { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 19556, "uuid": "a52b2cc065a847b8a77a93896880349f", "short_code": "proj", "title": "EUSTACE (EU Surface Temperature for All Corners of Earth)", "abstract": "The EUSTACE (EU Surface Temperature for All Corners of Earth) project is producing 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\nDay-to-day variations in surface air temperature affect society in many ways; however, daily surface air temperature measurements are not available everywhere. Satellite data can be used to estimate temperatures at locations where no ground (or in situ) observations are available. To achieve this, we must develop an understanding of the relationships between traditional (land and marine) surface air temperature measurements and satellite measurements, i.e. land surface temperature, ice surface temperature, sea surface temperature and lake surface water temperature. These relationships can be derived either empirically, or with the help of physical understanding.\r\n\r\nTo achieve this the EUSTACE project is using new statistical techniques to provide information on higher spatial and temporal scales than are currently available, making optimum use of the information in data-rich eras. The final and intermediate products of EUSTACE (e.g. satellite skin temperature retrievals over all domains with consistent uncertainty estimates; station time series with discontinuities identified; information on the relationship between skin and air temperature over different domains and different seasons) will be interesting for many applications.\r\n\r\nThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640171." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 69338, 69339, 69340, 69341, 69342, 69343, 69344, 69345, 69346, 69347, 69351, 69353, 69354, 69357, 69358, 69360, 69361, 91336, 91337, 91338, 91339, 91340, 91341, 91342 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 20098, "uuid": "7ebff7be4c0149d082ca9a32ec8df4da", "short_code": "coll", "title": "EUSTACE: Collection of products from the EUSTACE (EU Surface Temperature for All Corners of Earth) project", "abstract": "The EUSTACE (EU Surface Temperature for All Corners of Earth) project is an EU Horizon 2020 project, producing 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\nThe data are publically available and consists of a number of different products: satellite skin temperature retrievals over all surface types; global surface air temperature derived from satellite skin temperature retrievals; homogonised surface meteorological station records for Europe and a European in filled analysis; global surface meteorological station records with discontinuities identified; and global analyses of daily surface air temperature going back to 1850, derived from both satellite and meteorological station data." } ], "responsiblepartyinfo_set": [ 132843, 132845, 132846, 132847, 132848, 132844, 193403, 193404, 132849, 132850, 132851, 132852, 132853 ], "onlineresource_set": [ 38041, 38042, 38043, 38044 ] }, { "ob_id": 30641, "uuid": "37e8a29d208d4a87ae4dbe1d16b2c0ef", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 4.2", "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2020-06-28T10:38:51", "updateFrequency": "notPlanned", "dataLineage": "These data were produced by the ESA Ocean Colour CCI project and provided to CEDA in the context of the ESA CCI Open Data Portal project.\r\nThis dataset forms part of the v4.2 ocean colour dataset collection that can be cited with the following DOI: 10.5285/d62f7f801cb54c749d20e736d4a1039", "removedDataReason": "", "keywords": "ESA, CCI, Ocean Colour, Geographic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "4km", "status": "superseded", "dataPublishedTime": "2020-07-01T09:56:44", "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": 30642, "dataPath": "/neodc/esacci/ocean_colour/data/v4.2-release/climatology/netcdf/monthly/v4.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14221221562, "numberOfFiles": 13, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 8339, "startTime": "1997-09-03T00:00:00", "endTime": "2019-12-31T23:59:59" }, "resultQuality": { "ob_id": 3342, "explanation": "Data are as provided by the Ocean Colour CCI team. For details of validation see the linked Product User Guide and documentation on the Ocean Colour CCI website (https://climate.esa.int/en/projects/ocean-colour/)", "passesTest": true, "resultTitle": "Ocean Colour CCI data quality", "date": "2019-10-31" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 28111, "uuid": "dabd286122454a2abfd92884b6ff2f3f", "short_code": "comp", "title": "Derivation of Ocean Colour v4 data from the ESA Climate Change Initiative Ocean Colour project (Ocean_Colour_cci)", "abstract": "The ocean colour CCI has calculated ocean colour Essential Climate Variable data, using input data from various satellite instruments, as part of the ESA Climate Change Initiative program.\r\n\r\nThe v4 dataset has been created by band-shifting and bias-correcting MERIS, MODIS and VIIRS data to\r\nmatch SeaWiFS data, merging the datasets and computing per-pixel uncertainty estimates.\r\n\r\nFor more information see the Ocean Colour v4 Product User Guide." }, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2538, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 18, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_oc_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13365, "uuid": "de8aeb4f1bec4348a1e475691ea651d4", "short_code": "proj", "title": "ESA Ocean Colour Climate Change Initiative Project", "abstract": "The European Space Agency Ocean Colour Climate Change Initiative (Ocean Colour CCI) project aims to produce long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n \r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 6019, 6020, 12066, 12261, 12262, 12263, 12264, 12265, 12266, 18461, 18462, 18463, 18464, 18465, 18466, 18467, 18468, 18469, 18470, 18471, 18472, 18576, 18597, 21136 ], "vocabularyKeywords": [ { "ob_id": 10668, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_oceanCol", "resolvedTerm": "ocean colour" }, { "ob_id": 11103, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_meris", "resolvedTerm": "MERIS" }, { "ob_id": 11105, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_modis", "resolvedTerm": "MODIS" }, { "ob_id": 11120, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_seaWiFs", "resolvedTerm": "SeaWiFS" }, { "ob_id": 11056, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_viirs", "resolvedTerm": "VIIRS" }, { "ob_id": 10784, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_aqua", "resolvedTerm": "Aqua" }, { "ob_id": 10808, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_envisat", "resolvedTerm": "Envisat" }, { "ob_id": 10903, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_orbview2", "resolvedTerm": "Orbview-2" }, { "ob_id": 10914, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_snpp", "resolvedTerm": "SNPP" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 30608, "uuid": "d62f7f801cb54c749d20e736d4a1039f", "short_code": "coll", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 4.2 Data", "abstract": "This collection contains version 4.2 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). 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The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 132856, 132857, 132858, 132859, 132861, 132860, 145289, 145290, 132862, 132863, 132864, 132865, 132866, 132867, 132868, 132869, 132870, 132871, 132872, 132873, 132874, 132875, 132876, 132877, 132878, 132879, 132880, 132881, 132882, 132883, 132884, 132885, 132886, 132887, 132888, 132889, 132890, 132891 ], "onlineresource_set": [ 38058, 38059, 38061, 38057, 38062, 38060 ] }, { "ob_id": 30644, "uuid": "eacb7580e1b54afeaabb0fd2b0a53828", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly sea surface salinity product, v2.31, for 2010 to 2019", "abstract": "The ESA Sea Surface Salinity CCI consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2019 period.\r\n\r\nThis dataset contains Sea Surface Salinity (SSS) v2.31 data at a spatial resolution of 50 km and a time resolution of 1 week. It has been spatially sampled on a 25 km EASE (Equal Area Scalable Earth) grid and 1 day of time sampling. A monthly product is also available. In addition to salinity, information on errors are provided (see more in the user guide and product documentation available below and on the Sea Surface Salinity CCI web page).\r\n\r\nAn overview paper about CCI SSS is now published:\r\n\r\nBoutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.\r\n\r\nAn updated version of CCI SSS (version 3.21) is now available on: https://catalogue.ceda.ac.uk/uuid/5920a2c77e3c45339477acd31ce62c3c ; version 3 SSS and associated uncertainties are more precise and cover a longer period (Jan 2010-sept 2020); version 3 SSS are provided closer to land than version 2 SSS, with a possible degraded quality. 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