Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=2200
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The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. 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Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. 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The principal urban site was Pritchatts Road, Birmingham City. Peripheric sites included Halfpenny Green Airport (West of Birmingham) and Withybrook Equestrian Centre (East of Birmingham). The field campaigns ran from 11 June - 13 July 1999 and 17 January - 17 February 2000. A variety of observation platforms were used. They included two ambulant laboratories (Birmingham and Leeds teams), a pollution monitoring van and a 10 m high tower allowing measurements to be made at a height of 5 or 10 metres. 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Harrison, University of Birmingham. \r\n\r\nThis dataset contains measurements of nitrogen dioxide, sulphur dioxide, carbon monoxide, nitrogen oxide, ozone, halo-carbons, PAN and PM 2.5, temperature, wind, pressure and humidity.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2001-08-02T14:02:00", "updateFrequency": "notPlanned", "dataLineage": "Data were collected from a dozen of urban and suburban sites in and around the West Midlands County (UK) from 11 June - 13 July 1999 and 17 January - 17 February 2000 using a variety of observation platforms.\r\nData provided as is by the URGENT PUMACO campaign participants in 2000 to the BADC for archiving.", "removedDataReason": "", "keywords": "URGENT, PUMA, Chemistry, Pollutants, Air pollution", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-22T09:02:01", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 162, "bboxName": "", "eastBoundLongitude": -1.6, "westBoundLongitude": -2.3, "southBoundLatitude": 52.2, "northBoundLatitude": 52.8 }, "verticalExtent": null, "result_field": { "ob_id": 14221, "dataPath": "/badc/urgent/data/pumaco/Summer_1999/puma", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19855998, "numberOfFiles": 84, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3764, "startTime": "1996-06-11T23:00:00", "endTime": "1999-07-13T22:59:59" }, "resultQuality": { "ob_id": 1886, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14220, "uuid": "b2887d6fd5cc4ee3af88735c32885e45", "short_code": "acq", "title": "URGENT PUMACO: PUMA Summer 1999 Chemistry measurements", "abstract": "URGENT PUMACO: PUMA Summer 1999 Chemistry measurements" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 43 ], "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": 14248, "uuid": "8929b780c7954dcf94f53100be4b4906", "short_code": "proj", "title": "Observation, Modelling And Management Of Urban Air Pollution (PUMA COnsortium - PUMACO) project part of the Urban Regeneration and the Environment (URGENT) NERC Research Programme", "abstract": "URGENT - Observation, Modelling And Management Of Urban Air Pollution (PUMA COnsortium - PUMACO) was a NERC Urban Regeneration and the Environment (URGENT) Air project (GST/02/1981 - Duration: 1/01/1998 - 30/09/2001) led by Prof. Roy M. Harrison, University of Birmingham.\r\n\r\nThe objectives of this project were:\r\n\r\n-To apply a high spatial resolution meso-scale meteorological model to the West Midlands. This was the first of its kind in the UK.\r\n-To add a coupled dispersion and atmospheric chemistry model, capable of predicting both primary and secondary air pollutant concentrations at urban background locations across the conurbation with a horizontal resolution of about 2km and a vertical resolution as low as 25m. The model were validated against high quality measurements of primary pollutants such as carbon monoxide, sulphur dioxide and NOX, as well as secondary pollutants including nitrogen dioxide, ozone and secondary inorganic particulate matter. It was compared with an existing model (UAM).\r\n-To make measurements of concentrations of a wide range of both long-lived and transient chemical species including hydrocarbons, carbonyl compounds, oxyacids of nitrogen and the free radical species OH, HO2, RO2 and NO3, which play a key role in atmospheric chemistry.\r\n-To validate the atmospheric chemical reaction mechanisms within the model in a depth not previously attempted.\r\n-To gain insights into the chemical processes controlling the composition of the urban atmosphere at a very fundamental level.\r\n-To produce a management model applicable for national and local government to predict the impact on air quality of specific control strategies for a wide range of criteria pollutants and on a range of timescales (minutes to years).\r\n\r\nThis project was seeking to apply and validate a well accepted meso-scale meteorological model (the Colorado State University RAMS model) coupled with a very detailed chemical scheme within a Lagrangian particle dispersion model.\r\n\r\nA dozen of urban and suburban sites in and around the West Midlands County (UK) were chosen for the project. The principal urban site was Pritchatts Road, Birmingham City. Peripheric sites included Halfpenny Green Airport (West of Birmingham) and Withybrook Equestrian Centre (East of Birmingham). The field campaigns ran from 11 June - 13 July 1999 and 17 January - 17 February 2000. A variety of observation platforms were used. They included two ambulant laboratories (Birmingham and Leeds teams), a pollution monitoring van and a 10 m high tower allowing measurements to be made at a height of 5 or 10 metres. Most observations were made when the platform was stationary but some data were collected while driving (peripheric sites)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 82794 ], "vocabularyKeywords": [], "identifier_set": [ 4631, 4640, 4642, 4646, 4648, 4652, 4659, 4661, 4664, 4663 ], "observationcollection_set": [ { "ob_id": 6948, "uuid": "f5642a5251498d36250b6e19b37199f3", "short_code": "coll", "title": "PUMA COnsortium - PUMACO: Observation, Modelling And Management Of Urban Air Pollution", "abstract": "The NERC URGENT thematic programme was set up to integrate urban environmental research across the geological, ecological, freshwater and atmospheric sciences. It worked in partnership with city authorities, industry and regulatory bodies. Deliverables from URGENT funded projects, that belong to Soil, Water, Ecology or Air Sciences, are archived at the BADC.\r\n\r\nThere were 13 air science projects within the URGENT Programme. The largest of these is the PUMA (Pollution in Urban Midlands Atmospheres) Consortium, which is the core of a group of five closely interrelated projects forming the PUMA Consortia. Its geographical scope is the West Midlands County (UK) and Birmingham City but its aim is to provide general insights into urban atmospheric problems.\r\n\r\nThe URGENT \"Air\" data are mainly in situ ground based measurements in urban and suburban areas but also include observations from aircraft, lab measurements and model results. Retrieved variables include atmospheric chemical species and aerosols, photolysis rates and meteorological/radiative parameters. Software, reports and recommendations to urban planners have also been issued.\r\n\r\nThe thematic programme began in 1998 and lasted for 7 years. \r\n\r\nURGENT - Observation, Modelling And Management Of Urban Air Pollution (PUMA COnsortium - PUMACO) was a NERC Urban Regeneration and the Environment (URGENT) Air project (GST/02/1981 - Duration: 1/01/1998 - 30/09/2001) led by Prof. Roy M. Harrison, University of Birmingham.\r\n\r\nThe objectives of this project were:\r\n\r\n-To apply a high spatial resolution meso-scale meteorological model to the West Midlands. This was the first of its kind in the UK.\r\n-To add a coupled dispersion and atmospheric chemistry model, capable of predicting both primary and secondary air pollutant concentrations at urban background locations across the conurbation with a horizontal resolution of about 2km and a vertical resolution as low as 25m. The model were validated against high quality measurements of primary pollutants such as carbon monoxide, sulphur dioxide and NOX, as well as secondary pollutants including nitrogen dioxide, ozone and secondary inorganic particulate matter. It was compared with an existing model (UAM).\r\n-To make measurements of concentrations of a wide range of both long-lived and transient chemical species including hydrocarbons, carbonyl compounds, oxyacids of nitrogen and the free radical species OH, HO2, RO2 and NO3, which play a key role in atmospheric chemistry.\r\n-To validate the atmospheric chemical reaction mechanisms within the model in a depth not previously attempted.\r\n-To gain insights into the chemical processes controlling the composition of the urban atmosphere at a very fundamental level.\r\n-To produce a management model applicable for national and local government to predict the impact on air quality of specific control strategies for a wide range of criteria pollutants and on a range of timescales (minutes to years).\r\n\r\nThis project was seeking to apply and validate a well accepted meso-scale meteorological model (the Colorado State University RAMS model) coupled with a very detailed chemical scheme within a Lagrangian particle dispersion model. \r\n\r\nA dozen of urban and suburban sites in and around the West Midlands County (UK) were chosen for the project. The principal urban site was Pritchatts Road, Birmingham City. Peripheric sites included Halfpenny Green Airport (West of Birmingham) and Withybrook Equestrian Centre (East of Birmingham). The field campaigns ran from 11 June - 13 July 1999 and 17 January - 17 February 2000. A variety of observation platforms were used. They included two ambulant laboratories (Birmingham and Leeds teams), a pollution monitoring van and a 10 m high tower allowing measurements to be made at a height of 5 or 10 metres. Most observations were made when the platform was stationary but some data were collected while driving (peripheric sites)." } ], "responsiblepartyinfo_set": [ 55135, 55137, 55134, 55140, 55141, 55142, 55153, 55139, 55138, 55154, 55155, 55156, 55157, 55158 ], "onlineresource_set": [] }, { "ob_id": 14243, "uuid": "0057e9d2b4e047be82a92ef34cd79099", "title": "URGENT PROFIL: Summer 1999 campaign airborne in-situ atmospheric chemistry and meteorology measurements by the University of Manchester's CESSNA aircraft", "abstract": "An Instrumented Aircraft Facility to Provide Vertical Profiles of Wind, Temperature, Turbulence, Sensible Heat, Aerosol and Trace-Gas Concentrations and Fluxes within the Urban Boundary Layer for PUMA (Pollution in Urban Midlands Atmospheres). Consortia Model Validation (PROFIL) is a NERC Urban Regeneration and the Environment (URGENT) Air project (GST/02/2225 - Duration: 1/04/1999 - 31/3/2002) led by Dr Martin Gallagher, University of Manchester.\r\n\r\nThis dataset contains airborne in-situ atmospheric chemistry and meteorology measurements by the University of Manchester's CESSNA aircraft from flights during the URGENT PROFIL Summer 1999 campaign.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2001-01-11T15:53:06", "updateFrequency": "notPlanned", "dataLineage": "Data files provided as is by the PROFIL campaign participants.", "removedDataReason": "", "keywords": "URGENT, PROFIL, Chemistry, Pollutants, Air pollution, Meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-20T11:43:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 83, "bboxName": "", "eastBoundLongitude": -1.6, "westBoundLongitude": -2.6, "southBoundLatitude": 52.2, "northBoundLatitude": 53.4 }, "verticalExtent": null, "result_field": { "ob_id": 14244, "dataPath": "/badc/urgent/data/profil/Summer_1999", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4174162, "numberOfFiles": 12, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3770, "startTime": "1999-06-15T23:00:00", "endTime": "1999-07-09T22:59:59" }, "resultQuality": { "ob_id": 1137, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4485, "uuid": "91bdf575a5c944e483eccfe75fa44289", "short_code": "acq", "title": "PROFIL: Atmospheric Chemistry and Meteorology from CESSNA flights", "abstract": "PROFIL: Atmospheric Chemistry and Meteorology from CESSNA flights " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 43 ], "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": 14247, "uuid": "19262eead5a44b97bb083f6a66a92973", "short_code": "proj", "title": "PROFIL Vertical Profiles of Wind, Temperature, Turbulence, Sensible Heat, Aerosol and Trace-Gas Concentrations and Fluxes within the Urban Boundary Layer for PUMA (Pollution in Urban Midlands Atmospheres) project part of the Urban Regeneration and the Environment (URGENT) NERC Research Programme", "abstract": "This project provided facilities in the form of a low cost, highly instrumented aircraft designed for probing the turbulent and aerosol-cloud microphysical structure of the atmospheric boundary layer (ABL). Priority use was given to the PUMA (Pollution of the Urban Midlands) consortia during the field trials planned for June 1999 and January / February 2000. The main objectives were:\r\n\r\n-to provide high resolution 3-D wind turbulence, temperature and trace-gas variances of the urban ABL\r\n-to provide measurements of the vertical and horizontal profile of aerosol concentration and volumetric size distribution over the Birmingham conurbation\r\n-to provide a database of aircraft urban ABL case studies, which will be available to the PUMA and ASURE modelling communities via the appropriate NERC database committee\r\n-to provide, where current UMIST instrumentation and facilities allow, the aircraft as a measurement platform for specific URGENT user measurement requests\r\n-to measure the vertical entrainment and venting rates of trace-gas and aerosol between the urban ABL and the lower troposphere\r\n-to measure the net aerosol / condensation nucleus flux downwind over an urban environment\r\n-to construct and install a low cost aerosol collection sampling system to provide complementary aerosol chemical composition data to the PUMA measurement campaigns and to the PUMA modelling efforts.\r\n\r\nA flight programme of ten flight days / case studies was designated solely to the PUMA consortia. Five additional flights were made available for either (a) instrument testing required by PUMA, which required the removal of the base-line instruments due to space and weight limitations, or (b) specific flights to accommodate other URGENT requirements." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2736, 23052 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4451, "uuid": "650515908b44d7a0ded50baa1ef770c0", "short_code": "coll", "title": "PROFIL: Vertical Profiles of Wind, Temperature, Turbulence, Sensible Heat, Aerosol and Trace-Gas Concentrations and Fluxes", "abstract": "The NERC URGENT thematic programme was set up to integrate urban environmental research across the geological, ecological, freshwater and atmospheric sciences. It worked in partnership with city authorities, industry and regulatory bodies. \r\n\r\nThe thematic programme began in 1998 and lasted for 7 years.\r\n\r\nThis project provided facilities in the form of a low cost, highly instrumented aircraft designed for probing the turbulent and aerosol-cloud microphysical structure of the atmospheric boundary layer (ABL). Priority use was given to the PUMA (Pollution of the Urban Midlands) consortia during the field trials planned for June 1999 and January / February 2000. The main objectives were:\r\n\r\n-to provide high resolution 3-D wind turbulence, temperature and trace-gas variances of the urban ABL\r\n-to provide measurements of the vertical and horizontal profile of aerosol concentration and volumetric size distribution over the Birmingham conurbation\r\n-to provide a database of aircraft urban ABL case studies, which will be available to the PUMA and ASURE modelling communities via the appropriate NERC database committee\r\n-to provide, where current UMIST instrumentation and facilities allow, the aircraft as a measurement platform for specific URGENT user measurement requests\r\n-to measure the vertical entrainment and venting rates of trace-gas and aerosol between the urban ABL and the lower troposphere\r\n-to measure the net aerosol / condensation nucleus flux downwind over an urban environment\r\n-to construct and install a low cost aerosol collection sampling system to provide complementary aerosol chemical composition data to the PUMA measurement campaigns and to the PUMA modelling efforts.\r\n\r\nA flight programme of ten flight days / case studies was designated solely to the PUMA consortia. Five additional flights were made available for either (a) instrument testing required by PUMA, which required the removal of the base-line instruments due to space and weight limitations, or (b) specific flights to accommodate other URGENT requirements." } ], "responsiblepartyinfo_set": [ 55222, 55223, 55224, 55226, 55227, 55228, 55230, 55229, 55231, 55225, 55232 ], "onlineresource_set": [] }, { "ob_id": 14250, "uuid": "da4da4fad5a74db486db3e4a13adbe9d", "title": "International Satellite Cloud Climatology Project C2 (ISCCP-C2): Global monthly cloud analysis products", "abstract": "The International Satellite Cloud Climatology Project (ISCCP) was based at the Goddard Institute for Space Studies in New York. ISCCP was sponsored by the World Climate Research Programme for the purpose of \"collecting and analysing satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations\".\r\n\r\nThis dataset contains the global monthly cloud analysis products (ISCCP-C2), at 250 km spatial resolution. They are derived from monthly averages of data taken with three-hour resolution. The products include monthly averages of calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. There are 72 variables contained within the data set. The data available at the time of publication begin in July 1983 and extend through December 1990.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-09-11T13:12:31", "updateFrequency": "notPlanned", "dataLineage": "Data obtained during the period from July 1983 to December 1990 by satellite. Data acquired from the Langley Atmospheric Sciences Data Center in 2002 and archived at the BADC as-is.", "removedDataReason": "", "keywords": "ISCCP, NASA, cloud", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2002-04-25T15:53:49", "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": 14251, "dataPath": "/badc/CDs/isccpc2/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 399037923, "numberOfFiles": 861, "fileFormat": "Data are ASCII and binary formatted" }, "timePeriod": { "ob_id": 475, "startTime": "1986-11-17T00:00:00", "endTime": "1990-12-31T00:00:00" }, "resultQuality": { "ob_id": 401, "explanation": "As per documentation provided.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19242, "uuid": "0f79875d84734e1baf938249ef5517ff", "short_code": "acq", "title": "ISCCP C2", "abstract": "ISCCP C2" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 36 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 1662, "uuid": "e49b7b77ed1c1211f04d9e2e64fd4318", "short_code": "proj", "title": "International Satellite Cloud Climatology Project (ISCCP)", "abstract": "The International Satellite Cloud Climatology Project collected data from a suite of weather satellites operated by several nations. The resulting datasets and analysis products are being used to improve understanding and modelling of the role of clouds in climate, with primary focus being the elucidation of the effects of clouds on the radiation balance. BADC has some data and data are available from the Goddard Institute for Space Studies. The data are public." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21771, 21919, 21955, 21962, 22345, 22346, 22605, 22606, 22607, 22608, 22609, 22610, 22611, 22612, 22613, 22614, 22615, 22616, 22617, 22618, 22619, 22620, 22621, 22622, 22623, 22624, 22625, 22626, 22627, 22628, 22629, 22630, 22631, 22632, 22633, 22634, 22635, 22636, 22637, 22638, 22639, 22640, 22641, 22642, 22643, 22644, 22645, 22646, 22647, 22648, 22649, 22650, 22651, 22652, 22653, 22654, 22655, 22656, 22657, 22658, 22659, 22661, 22662, 22663, 22664, 22665, 22666, 22667, 22668, 22669, 22670, 22671, 22672, 22673, 22674, 22675, 22676, 22677, 22678, 22679, 22680, 22681, 22682, 22683, 22684, 22685, 22686, 22687, 22689, 22690, 22691, 22692, 22693, 22694, 22695, 22696, 22697, 22698, 22699, 22700, 22701, 22702, 22703, 22704, 22705, 22706, 22707, 22708, 22709, 22710, 22711, 22712, 22713, 22714, 22715, 22716, 22717, 22718, 22719, 22720, 22721, 22722, 22723, 22724, 22725, 22726, 22727, 22728, 22729, 22730, 22731, 22732, 22733, 22734, 22735, 22736, 22737, 22738, 22739, 22740, 22741, 22742, 22743, 22744, 22745, 22746, 22747, 22748, 22749, 22750, 22751, 22752, 22753, 22754, 22755, 22756, 22757, 22758, 22759, 22761, 22762, 22763, 22764, 22765, 22766, 22767, 22769, 22770, 22771, 22772, 22773, 22774, 22775, 25388, 25394, 25404, 25855, 25860, 25872, 25874, 25884, 25885, 25886, 25887, 25888, 25889 ], "vocabularyKeywords": [], "identifier_set": [ 12870 ], "observationcollection_set": [ { "ob_id": 1659, "uuid": "5890110c9f806a2fb14f9030898def43", "short_code": "coll", "title": "International Satellite Cloud Climatology Project: ISCCP-D1, ISCCP-D2 and ISCCP-C2 cloud products dataset collection", "abstract": "The International Satellite Cloud Climatology Project (ISCCP) was based at the Goddard Institute for Space Studies in New York. ISCCP was sponsored by the World Climate Research Programme for the purpose of \"collecting and analyzing satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations\".\r\n\r\nThis dataset collection contains the global three-hourly cloud products (ISCCP-D1), global monthly cloud products (ISCCP-D2), using the revised algorithm, at 280 km spatial resolution and and monthly cloud analysis products (ISCCP-C2) at 250 km spatial resolution.\r\n\r\nThere are more than 200 variables contained within the datasets. \r\n\r\nNote - that that the temporal range of the datasets presented here are contain data available from the NASA Atmospheric Science Data Center (ASDC) covers the full extent available at the time of the dataset publication in the CEDA archives, begin in July 1983 and extend through to December 1999 (D1), 2006 (D2) and 1990 (C1). Fuller versions of the datasets are available from ASDC directly. These limited copies were obtained to aid researcher access within the UK community at the time." } ], "responsiblepartyinfo_set": [ 55260, 55259, 55261, 55263, 55264, 55265, 55266, 55262 ], "onlineresource_set": [ 23897 ] }, { "ob_id": 14252, "uuid": "3f325df05dbd46efa3c3bef0aef93b3e", "title": "WLSTA: Decadal Full Resolution (1 km) of the Land Surface Temperature fields over Europe", "abstract": "This CD-ROM is produced by the European Space Agency (ESA) and contains land surface temperature demonstration products as estimated from the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard the National Oceanic and Atmospheric Administration (NOAA) series of polar orbiters. The data used are from the full resolution (1 km) composites (decade) data set processed in the framework of the \"1 km AVHRR Global Land Data Set\" collaborative project of the United States Geological Survey (USGS) EROS Data Centre (EDC), NOAA, NASA, ESA under the guidance of IGBP and CEOS. This CD-ROM contains excerpts from the full resolution land surface temperature (1 km pixel) data set over Europe, as well as so called world monthly \"climatic values\" (0.5 degree x 0.5 degree grid). The full processed data set runs from July 1992 to June 1993. This dataset contains excerpts at full resolution (1 km) of the land surface temperature fields over Europe", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-02-09T17:44:58", "updateFrequency": "notPlanned", "dataLineage": "The CD-ROM was produced by the European Space Agency (ESA) using the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard the National Oceanic and Atmospheric Administration (NOAA) series of polar orbiters. It was published in the 1990's. 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The satellite data deliver observations on ice surface features (e.g. tidal deformation by InSAR, spatial changes in texture and shading in optical images) that are indirect indicators for estimating the position of the grounding line. 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This dataset has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThis dataset consists of ice velocity maps which have been generated from SAR data from the ERS-2 satellite for winter 1995-1996. The data is supplied on a 500m polar stereographic grid. The ice velocity product contain the horizontal components, vN and vE, of the total velocity vector, which is derived from radar measurements assuming surface parallel flow. The used digital elevation model of the surface is also supplied. The North and East velocities at any grid points are given in a local geographic north-east coordinates system (and not in the used grid map projection system).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2016-04-15T16:54:24.161772", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland Ice Sheet, ESA, CCI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-04-11T16:06:10", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 895, "bboxName": "", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 14325, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/old_products/Greenland_Margin_ERS2_Winter_1995_1996/v1.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 223029647, "numberOfFiles": 7, "fileFormat": "Data are NetCDF-4 formatted" }, "timePeriod": { "ob_id": 3789, "startTime": "1995-09-02T23:00:00", "endTime": "1996-03-29T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 12066, 13230, 13231, 13232, 13233, 50547, 50548, 53927, 53928 ], "vocabularyKeywords": [ { "ob_id": 10089, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org13", "resolvedTerm": "DTU Space" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 55335, 55336, 55337, 55612, 104875, 105089, 105268, 55338 ], "onlineresource_set": [ 8710, 8709, 9258, 15844, 16570 ] }, { "ob_id": 14275, "uuid": "73816cb40a584e609aca2eac02bb910e", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Greenland Northern Drainage Basins from ERS-1 for winter 1991 - 1992, v1.1 (April 2016 release)", "abstract": "This dataset contains ice velocities for the Greenland northern drainage basin for 1991-1992.This dataset has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThis dataset consists of ice velocity maps which have been generated from SAR data from the ERS-1 satellite, for winter 1991-1992. The data is supplied on a 500m polar stereographic grid. The ice velocity product contain the horizontal components, vN and vE, of the total velocity vector, which is derived from radar measurements assuming surface parallel flow. The used digital elevation model of the surface is also supplied. The North and East velocities at any grid points are given in a local geographic north-east coordinates system (and not in the used grid map projection system).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2016-04-15T16:56:26", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland Ice Sheet, ESA, CCI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-04-11T16:10:49", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 895, "bboxName": "", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 14324, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/old_products/Greenland_Northern_Drainage_Basins_ERS1_Winter_1991_1992/v1.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 136485023, "numberOfFiles": 7, "fileFormat": "Data are NetCDF-4 formatted" }, "timePeriod": { "ob_id": 3788, "startTime": "1991-12-29T00:00:00", "endTime": "1992-03-22T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 12066, 13230, 13231, 13232, 13233, 50547, 50548, 53928, 63972, 79994 ], "vocabularyKeywords": [ { "ob_id": 10089, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org13", "resolvedTerm": "DTU Space" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 55340, 55341, 55342, 55611, 104876, 105090, 105269, 55343 ], "onlineresource_set": [ 8711, 8712, 9260, 15843, 16564 ] }, { "ob_id": 14283, "uuid": "69f6e93f5f074580861dfdb4c3385dbe", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Sodankyla Snow Depth data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the snow depth data collected at Sodankyla site in March 2011. \r\nSnow depths were measured by pushing a graduated probe down to the ground surface at points with 2 m spacing in each 20 m × 20 m plot, giving grids of 121 points. \r\nThis was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-08T13:22:31.472998", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, snow, Sodankyla", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-12-14T10:29:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 766, "bboxName": "Sodankyla site", "eastBoundLongitude": 26.5, "westBoundLongitude": 25.5, "southBoundLatitude": 66.5, "northBoundLatitude": 67.5 }, "verticalExtent": null, "result_field": { "ob_id": 14302, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/snowdepth", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10849, "numberOfFiles": 6, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14285, "uuid": "3d5e72b7aa4142a0a20c0a1ec07764d8", "short_code": "acq", "title": "RM2010 - Sodankyla Snow Depth data", "abstract": "RM2010 - Sodankyla Snow Depth data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25870, 55555, 55556, 55557 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13749, "uuid": "9c8c86ed78ae4836a336d45cbb6a757c", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Sodankyla Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Sodankyla (Finalnd) during measurement campaigns in March 2011. This data is made available through the BADC. An open area and five 20 m × 20 m forest plots were selected for shortwave and longwave radiation measurements and canopy characterization.\r\n\r\nThe Arctic Research Centre of the Finnish Meteorological Institute at Sodankylä (67°22'N, 26°38'E) has continuous weather observations dating back to 1908 and is a major centre for meteorological and remote sensing field studies. The surrounding area includes forests of Norway Spruce (Picea abies) and Scots Pine (Pinus sylvestris), extensive mires and numerous lakes that are frozen and snow-covered in winter.\r\n\r\nThis was a NERC funded project." } ], "responsiblepartyinfo_set": [ 55345, 55346, 55347, 55344, 55351, 55352, 55353, 55350, 55349, 55348 ], "onlineresource_set": [] }, { "ob_id": 14286, "uuid": "02f968aadaad48c7a4a48b772db41a0f", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Sodankyla Trunk Temperature data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the trunk temperature data collected at Sodankyla site in March 2011. Trunk temperatures for selected trees in the continuity plots were measured by inserting thermocouples beneath the bark. This was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-08T13:20:19.938497", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, trunk, temperature, Sodankyla", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-12-14T10:29:26", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 766, "bboxName": "Sodankyla site", "eastBoundLongitude": 26.5, "westBoundLongitude": 25.5, "southBoundLatitude": 66.5, "northBoundLatitude": 67.5 }, "verticalExtent": null, "result_field": { "ob_id": 14287, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/trunk", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 442948, "numberOfFiles": 2, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14272, "uuid": "cf2cd4c168174dc491a0a33202cd4e1e", "short_code": "acq", "title": "RM2010 - Abisko Weather Observations data", "abstract": "RM2010 - Abisko Weather Observations data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 12655, 12656, 12657, 13202, 13203, 21824 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13749, "uuid": "9c8c86ed78ae4836a336d45cbb6a757c", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Sodankyla Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Sodankyla (Finalnd) during measurement campaigns in March 2011. This data is made available through the BADC. An open area and five 20 m × 20 m forest plots were selected for shortwave and longwave radiation measurements and canopy characterization.\r\n\r\nThe Arctic Research Centre of the Finnish Meteorological Institute at Sodankylä (67°22'N, 26°38'E) has continuous weather observations dating back to 1908 and is a major centre for meteorological and remote sensing field studies. The surrounding area includes forests of Norway Spruce (Picea abies) and Scots Pine (Pinus sylvestris), extensive mires and numerous lakes that are frozen and snow-covered in winter.\r\n\r\nThis was a NERC funded project." } ], "responsiblepartyinfo_set": [ 55355, 55356, 55357, 55361, 55362, 55363, 55354, 55358, 55359, 55360 ], "onlineresource_set": [] }, { "ob_id": 14289, "uuid": "07636e99b00f472bb230a2beec6a4e1b", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Sodankyla Weather Observations data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the data produced by a Vaisala WXT520 weather transmitter used to measure temperature, relative humidity, wind speed, wind direction and atmsopheric pressure during the radiometer experiments in each plot in March 2011. This was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-08T13:17:25.300109", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, weather observations, Sodankyla", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-12-14T10:29:20", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 766, "bboxName": "Sodankyla site", "eastBoundLongitude": 26.5, "westBoundLongitude": 25.5, "southBoundLatitude": 66.5, "northBoundLatitude": 67.5 }, "verticalExtent": null, "result_field": { "ob_id": 14290, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/weather", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 986930, "numberOfFiles": 6, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14291, "uuid": "88fb2a7eb6d34bc680582f6e47cfb249", "short_code": "acq", "title": "RM2010 - Sodankyla Weather Observations data", "abstract": "RM2010 - Sodankyla Weather Observations data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25880, 56169, 57963, 57964, 57965, 57966, 57967 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13749, "uuid": "9c8c86ed78ae4836a336d45cbb6a757c", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Sodankyla Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Sodankyla (Finalnd) during measurement campaigns in March 2011. This data is made available through the BADC. An open area and five 20 m × 20 m forest plots were selected for shortwave and longwave radiation measurements and canopy characterization.\r\n\r\nThe Arctic Research Centre of the Finnish Meteorological Institute at Sodankylä (67°22'N, 26°38'E) has continuous weather observations dating back to 1908 and is a major centre for meteorological and remote sensing field studies. The surrounding area includes forests of Norway Spruce (Picea abies) and Scots Pine (Pinus sylvestris), extensive mires and numerous lakes that are frozen and snow-covered in winter.\r\n\r\nThis was a NERC funded project." } ], "responsiblepartyinfo_set": [ 55365, 55366, 55367, 55364, 55371, 55372, 55373, 55370, 55368, 55369 ], "onlineresource_set": [] }, { "ob_id": 14292, "uuid": "f3c7e70b155f4bad85432cf52c2b563c", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Sodankyla Above and Below-Canopy Radiation data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the radiation data collected at Abisko site in March 2011. \r\n\r\nAbove-canopy radiation:\r\nAn open area was selected at each study site (“plot O”) for measurements assumed to be representative of incoming radiation above the nearby forest canopy. A Delta-T Devices BF3 sunshine sensor and a Kipp & Zonen CGR3 pyrgeometer were connected to a Campbell Scientific CR1000 data logger recording 5-minute averages of measurements made every 5 seconds. The BF3 measures total and diffuse incoming shortwave radiation, and the CGR3 measures thermal longwave radiation.\r\nBelow-canopy radiation:\r\n\r\nIn the forest plots, two arrays of ten Kipp & Zonen CM3 shortwave pyranometers and four Kipp & Zonen CGR3 longwave pyrgeometers were connected to AM16/32B multiplexers and Campbell Scientific CR1000 data loggers recording 5-minute averages of measurements made every 5 seconds. One array was set up in a “continuity plot” C for the entire duration of each field campaign, while the other array was moved between four “roving plots” R1 to R4, providing at least 5 complete days of data at each plot. All radiometers were placed on small plywood platforms on the snow surface and were levelled and cleared of snow every morning. Radiometer positions were recorded using differential GPS at Abisko and averages of repeated handheld GPS measurements at Sodankylä.\r\nThis was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:15:41", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, snow, radiation, Sodankyla", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-12-14T10:29:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 766, "bboxName": "Sodankyla site", "eastBoundLongitude": 26.5, "westBoundLongitude": 25.5, "southBoundLatitude": 66.5, "northBoundLatitude": 67.5 }, "verticalExtent": null, "result_field": { "ob_id": 14293, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/radiation", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5588567, "numberOfFiles": 7, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14294, "uuid": "cff39d83ded349488dd00057550c7f69", "short_code": "acq", "title": "RM2010 - Sodankyla Above and Below-Canopy Radiation data", "abstract": "RM2010 - Sodankyla Above and Below-Canopy Radiation data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 4385, 13176, 13177, 25938, 52331, 52332, 52333 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13749, "uuid": "9c8c86ed78ae4836a336d45cbb6a757c", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Sodankyla Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Sodankyla (Finalnd) during measurement campaigns in March 2011. This data is made available through the BADC. An open area and five 20 m × 20 m forest plots were selected for shortwave and longwave radiation measurements and canopy characterization.\r\n\r\nThe Arctic Research Centre of the Finnish Meteorological Institute at Sodankylä (67°22'N, 26°38'E) has continuous weather observations dating back to 1908 and is a major centre for meteorological and remote sensing field studies. The surrounding area includes forests of Norway Spruce (Picea abies) and Scots Pine (Pinus sylvestris), extensive mires and numerous lakes that are frozen and snow-covered in winter.\r\n\r\nThis was a NERC funded project." } ], "responsiblepartyinfo_set": [ 55382, 55374, 55378, 55375, 55376, 55377, 55380, 55381, 55379 ], "onlineresource_set": [] }, { "ob_id": 14295, "uuid": "d852835cb64a47129dc92d6b533da623", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Sodankyla Hemispherical Photography data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the hemispherical photography data collected at Sodankyla site in March 2011. Upward-looking hemispherical photographs were taken at every radiometer position using a Nikon Coolpix 4300 digital camera with a Nikon FC-E8 fisheye lens. The camera was mounted on a small tripod with the lens approximately 20 cm above the snow surface. In each case, the camera was levelled and rotated such that magnetic north is at the top of the photograph. This was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-08T12:52:58", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, snow, photography, Sodankyla", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-12-14T10:29:07", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 766, "bboxName": "Sodankyla site", "eastBoundLongitude": 26.5, "westBoundLongitude": 25.5, "southBoundLatitude": 66.5, "northBoundLatitude": 67.5 }, "verticalExtent": null, "result_field": { "ob_id": 14296, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/sodankyla/hemispherical_photography", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 46703421, "numberOfFiles": 71, "fileFormat": "Images are PNG formatted" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14297, "uuid": "cebe5a5c6a4d4776a7c3f9ee2b61439d", "short_code": "acq", "title": "RM2010 - sodankyla Hemispherical Photography data", "abstract": "RM2010 - sodankyla Hemispherical Photography data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13749, "uuid": "9c8c86ed78ae4836a336d45cbb6a757c", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Sodankyla Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Sodankyla (Finalnd) during measurement campaigns in March 2011. This data is made available through the BADC. An open area and five 20 m × 20 m forest plots were selected for shortwave and longwave radiation measurements and canopy characterization.\r\n\r\nThe Arctic Research Centre of the Finnish Meteorological Institute at Sodankylä (67°22'N, 26°38'E) has continuous weather observations dating back to 1908 and is a major centre for meteorological and remote sensing field studies. The surrounding area includes forests of Norway Spruce (Picea abies) and Scots Pine (Pinus sylvestris), extensive mires and numerous lakes that are frozen and snow-covered in winter.\r\n\r\nThis was a NERC funded project." } ], "responsiblepartyinfo_set": [ 55384, 55385, 55386, 55383, 55389, 55390, 55391, 55388, 55387 ], "onlineresource_set": [] }, { "ob_id": 14298, "uuid": "ad51086ffcc348debd392559b3205f11", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Upernavik region for 1992 - 2010, v1.1 (April 2016 release)", "abstract": "This dataset contains a time series of ice velocities for the Upernavik glacier in Greenland between 1992 and 2010. This dataset has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThis dataset consists of a time series of Ice velocity maps which have been generated from SAR data from the ERS-1 and ERS-2, ENVISAT and the ALOS satellites. The data are supplied on a 500m polar stereographic grid. The ice velocity product contain the horizontal components, vN and vE, of the total velocity vector, which is derived from radar measurements assuming surface parallel flow. The used digital elevation model of the surface is also supplied. The North and East velocities at any grid points are given in a local geographic north-east coordinates system (and not in the used grid map projection system).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-09-11T12:55:25", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland, Ice Sheet, ESA, CCI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-04-11T16:16:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 895, "bboxName": "", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 14323, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/old_products/Greenland_Upernavik_Timeseries_1992_2010/v1.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 87092954, "numberOfFiles": 256, "fileFormat": "Data are NetCDF-4 formatted" }, "timePeriod": { "ob_id": 3787, "startTime": "1992-01-02T00:00:00", "endTime": "2010-08-21T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 12066, 13230, 13231, 13232, 13233, 50547, 50548, 53927, 53928 ], "vocabularyKeywords": [ { "ob_id": 10146, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org19", "resolvedTerm": "The Geological Survey of Denmark and Greenland" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 55392, 55393, 55394, 55610, 104914, 105130, 105308, 55395 ], "onlineresource_set": [ 8714, 8713, 9262, 15842, 16572 ] }, { "ob_id": 14299, "uuid": "a7b87a912c494c03b4d2fa5ab8479d1c", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change 1992-2014, v1.2", "abstract": "This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from satellite (ERS‐1, ERS‐2, Envisat and Cryosat) radar altimetry. The ice mask is based on the GEUS/GST land/ice/ocean mask provided as part of national mapping projects, and based on 1980’s aerial photography. The data from ERS and Envisat are based on a 5‐year running average, using combined algorithms of repeat‐track (RT), along‐track (AT) or cross‐over (XO) algorithms, and include propagated error estimates. \r\n\r\nIt is important to note that different processing algorithms were applied to the ERS‐1, ERS‐2, Envisat and CryoSat data; for details see the Product User Guide (PUG), available on the CCI website and in the documentation section here. For ERS‐1, the radar data were processed using a cross‐over algorithm (XO) only. For ERS‐2 data and Envisat data in repeat mode, a combination of RT and XO algorithms was applied, followed by filtering. For across‐mission (i.e. ERS‐2‐Envisat) combinations, and for Envisat operating in a drifting orbit, an AT and XO combination was applied (the difference between RT and AT algorithms is that AT use reference tracks and searches for data in the vicinity of this track). For CryoSat data a binning/gridding and plane fit method has been applied, following by weak filtering (0.05 degree resolution).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-04-15T15:27:57.215899", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland Ice Sheet, ESA, CCI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2016-04-15T14:38:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 895, "bboxName": "", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 14320, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_surface_elevation_change/v1.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 162098154, "numberOfFiles": 85, "fileFormat": "Files are provided in both NetCDF (.nc) and ASCII Gravsoft (.gri) format, as well as .png images. \r\n\r\nIn ascii gravsoft format the data are stored row‐wise in E‐W rows, from N to S, headed by a two‐line label defining coordinate limits and projection. This format is the simplest possible ASCII grid format. Unknown values are flagged by 9999. The grid label for the CCI data is:\r\n‐3350000. ‐650000. ‐650000. 850000. 5000. 5000. (this is N1, N2, E1, E2, dN, DE in meter)\r\n‐70 ‐45 (minus reference latitude, central meridian in degrees)\r\nThe CCI data grid contains a total 541 x 301 points. First data value in file is thus the NW cormer (N = ‐650 km,E = ‐650 km) and last value the SE corner (N = ‐3350 km, E = 850 km). Stereographic projections have by default (0,0) at the North Pole.\r\n\r\nThe data use a Polar stereographic projection, WGS84 ellipsoid, with a reference latitude of 70N, and central meridian of 45W" }, "timePeriod": { "ob_id": 3784, "startTime": "1992-01-01T00:00:00", "endTime": "2014-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 18459, 55816, 69204, 69205, 69207, 69208, 69209, 83765, 83766 ], "vocabularyKeywords": [ { "ob_id": 10700, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/org/org13", "resolvedTerm": "DTU Space" }, { "ob_id": 10666, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/ecv/cciecv_iceSheet", "resolvedTerm": "ice sheets" }, { "ob_id": 10089, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org13", "resolvedTerm": "DTU Space" }, { "ob_id": 10187, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_iceSheet", "resolvedTerm": "ice sheets" }, { "ob_id": 11116, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_ra", "resolvedTerm": "RA" }, { "ob_id": 11117, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_ra2", "resolvedTerm": "RA-2" }, { "ob_id": 11055, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/sensor/sens_siral", "resolvedTerm": "SIRAL" }, { "ob_id": 10787, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_cryosat2", "resolvedTerm": "CryoSat-2" }, { "ob_id": 10809, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_ers1", "resolvedTerm": "ERS-1" }, { "ob_id": 10810, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_ers2", "resolvedTerm": "ERS-2" }, { "ob_id": 10808, "vocabService": "clipc_skos_vocab", "uri": "http://vocab.ceda.ac.uk/collection/cci/platform/plat_envisat", "resolvedTerm": "Envisat" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 55396, 55397, 55398, 55601, 104918, 105134, 105312, 55399, 55602, 55603, 55604, 55605 ], "onlineresource_set": [ 8715, 8716, 8735, 8736, 9264, 15841, 16571, 9265 ] }, { "ob_id": 14303, "uuid": "b7f397e12a744ee4a1e70bc7435d46cb", "title": "CLOUDMAP2: Along Track Scanning Radiometer 2 (ATSR-2) cloud products from University College London (UCL)", "abstract": "The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project.\r\n\r\nThis dataset contains ATSR cloud products from University College London (UCL). ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T16:11:12", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Spinning Enhanced Visible Infra-Red Imager (SEVIRI), the Along Track Scanning Radiometer-2 (ATSR-2) and Meteosat Second Generation Observations. The data were passed on to the BADC for archiving. ", "removedDataReason": "", "keywords": "Clouds, Atmosphere, cloudmap", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-27T16:16:56", "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": 14304, "dataPath": "/badc/cloudmap/data/ucl", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 116111101031, "numberOfFiles": 341542, "fileFormat": "Data are HDF formatted" }, "timePeriod": { "ob_id": 3777, "startTime": "1997-06-30T23:00:00", "endTime": "2000-08-31T22:59:59" }, "resultQuality": { "ob_id": 1445, "explanation": "not available at this time", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 5569, "uuid": "d68d00015432414db2724f7706af0a39", "short_code": "cmppr", "title": "Composite Process for: Data from Along Track Scanning Radiometer 2 (ATSR-2) at European Remote Sensing satellite 2 (ERS-2) for the CLOUDMAP2 Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Along Track Scanning Radiometer 2 (ATSR-2) at European Remote Sensing satellite 2 (ERS-2) for the CLOUDMAP2 Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on European Remote Sensing satellite 2 (ERS-2); \n" }, "imageDetails": [ 82 ], "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": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21962, 22345, 22346, 22865, 23270, 23271, 23272, 23273, 25858, 25885, 25903 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5561, "uuid": "70ac88bc486108ce47468f43382af020", "short_code": "coll", "title": "CLOUDMAP2 project cloud products over Europe from the Along Track Scanning Radiometer 2 (ATSR-2)", "abstract": "The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project." } ], "responsiblepartyinfo_set": [ 55443, 55444, 55445, 55446, 55447, 55449, 55450, 55448, 55451 ], "onlineresource_set": [ 8720, 8719 ] }, { "ob_id": 14305, "uuid": "7111f2f65d9f4dff9f4ac28b2e28f284", "title": "CLOUDMAP2: Rutherford Appleton Laboratory (RAL) cloud radar products", "abstract": "The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project.\r\n\r\nThis dataset contains Rutherford Appleton Laboratory (RAL) cloud radar products.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-04-21T13:40:56", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Spinning Enhanced Visible Infra-Red Imager (SEVIRI), the Along Track Scanning Radiometer-2 (ATSR-2) and Meteosat Second Generation Observations. The data were passed on to the BADC for archiving. ", "removedDataReason": "", "keywords": "Clouds, Atmosphere, cloudmap", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-27T16:16:32", "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": 14306, "dataPath": "/badc/cloudmap/data/ral/gb-active", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9856648411, "numberOfFiles": 36995, "fileFormat": "Data are CDF formatted" }, "timePeriod": { "ob_id": 3775, "startTime": "1998-08-13T23:00:00", "endTime": "2004-01-31T23:59:59" }, "resultQuality": { "ob_id": 1445, "explanation": "not available at this time", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-30" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14307, "uuid": "d8a76c74100840cda523b8bd8d96ea90", "short_code": "acq", "title": "CLOUDMAP2: Rutherford Appleton Laboratory (RAL) cloud radar products", "abstract": "CLOUDMAP2: Rutherford Appleton Laboratory (RAL) cloud radar products" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 82 ], "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": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21962, 22345, 22346, 22865, 23270, 23271, 23272, 23273, 25858, 25885, 25903 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 5561, "uuid": "70ac88bc486108ce47468f43382af020", "short_code": "coll", "title": "CLOUDMAP2 project cloud products over Europe from the Along Track Scanning Radiometer 2 (ATSR-2)", "abstract": "The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project." } ], "responsiblepartyinfo_set": [ 55453, 55454, 55455, 55457, 55458, 55459, 55460, 55456, 55461 ], "onlineresource_set": [ 8721, 8722 ] }, { "ob_id": 14311, "uuid": "eb7dfdc88df846398022862aedabf832", "title": "HiTemp: High Density Meteorological measurements within the Urban Birmingham Conurbation.", "abstract": "Meteorological data from a high density network of meteorological sensors installed within the Birmingham conurbation: including 25 Vaisala WXT520 weather transmitters installed at sites within the Birmingham conurbation Each sensor measured temperature, precipitation, relative humidity, wind speed and direction, pressure, solar radiation and quality flags. \r\n\r\nThese measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2021-09-24T16:34:56", "updateFrequency": "notPlanned", "dataLineage": "Data received from BUCL team and stored at CEDA. Converted to BADC-CSV format by CEDA staff.", "removedDataReason": "", "keywords": "HiTemp, BUCL, UHI, network of sensors, urban heat island", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-01-20T12:00:00", "doiPublishedTime": "2016-03-01T16:12:26", "removedDataTime": null, "geographicExtent": { "ob_id": 775, "bboxName": "", "eastBoundLongitude": -1.76169, "westBoundLongitude": -2.0031, "southBoundLatitude": 52.39653, "northBoundLatitude": 52.59617 }, "verticalExtent": { "ob_id": 14, "highestLevelBound": 182.0, "lowestLevelBound": 93.0, "units": "metres above sea level" }, "result_field": { "ob_id": 14313, "dataPath": "/badc/hitemp/data/WXT_Data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2342999875, "numberOfFiles": 19498, "fileFormat": "Badc csv" }, "timePeriod": { "ob_id": 3780, "startTime": "2012-05-31T23:00:00", "endTime": "2014-08-21T23:00:00" }, "resultQuality": null, "validTimePeriod": { "ob_id": 3780, "startTime": "2012-05-31T23:00:00", "endTime": "2014-08-21T23:00:00" }, "procedureAcquisition": { "ob_id": 14312, "uuid": "89ddb964046e47c781765588e36e04ac", "short_code": "acq", "title": "BUCL network of meteorological sensors", "abstract": "HiTemp network 25 of Vaisala WXT520 weather transmitters installed within the Birmingham conurbation." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "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": 13923, "uuid": "09a956ffbc6e40f5ba8078caf67eb991", "short_code": "proj", "title": "HiTemp: High Density Measurements within the Urban Environment", "abstract": "The NERC-funded HiTemp project was conducted by the Birmingham Urban Climate Laboratory (BUCL) research team to examine Birmingham's Urban Heat Island (UHI). The project operated a high density air temperature-sensor network and will lead to a number of research projects examining Birmingham's UHI in more detail than ever-before possible.\r\n\r\nThe long-term aim of the HiTemp project was to identify, model and promote adaptation to the impacts of urban heat and climate change on the people and infrastructure of major conurbations (i.e. health, society, infrastructure and energy).\r\n\r\nHiTemp installed networks of meteorological sensors within the Birmingham conurbation: Approximately 250 low-cost, battery-powered WiFi air temperature sensors (Figure 2) and 30 full automatic weather stations (AWS), measuring temperature, precipitation, relative humidity, wind speed and direction, pressure, solar radiation. The design was based around a nested network of sensors:\r\n\r\n Network 1 (coarse array): 30 AWS sited in primary electricity sub-stations (average spacing of 3km)\r\n Network 2 (wide array): 150 air temperature sensors located on schools (one in every medium super output area (MSOA), or areas containing a population of 7,200)\r\n Network 3 (fine array): 100 air temperature sensors located on lampposts in the CBD (50/km2)\r\n\r\nBoth of the air temperature sensor networks utilise existing WiFi networks (i.e. school and public WiFi networks), whilst the AWS network will utilise either GPRS or wired internet connections. The project will ultimately provide a series of demonstration sensor networks for measuring air temperature and other meteorological parameters.\r\n\r\nIndustrial project partners include Birmingham City Council, who are interested in assessing heat health risk across Birmingham; E.ON/Western Power, who are interested in examining the impacts of heat and climate change on transformers; Campbell Scientific, who are supplying some of the meteorological equipment; and Aginova, who are developing and supplying the bespoke WiFi air temperature sensor." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 12669, 12696, 12731, 12732, 13178, 13179, 13180, 13181, 13182, 13183, 13184, 13185, 13186, 13187, 13188, 13189, 13190, 13191, 13192, 13193, 13194, 13195, 13196, 13197, 13198, 13199, 13200, 13201 ], "vocabularyKeywords": [], "identifier_set": [ 8792, 8803 ], "observationcollection_set": [ { "ob_id": 14315, "uuid": "5391a10e4f644229bc138f8a95ca42f1", "short_code": "coll", "title": "HiTemp: High Density Temperature and Meteorological measurements within the Urban Birmingham Conurbation.", "abstract": "The NERC-funded HiTemp project was conducted by the Birmingham Urban Climate Laboratory (BUCL) research team to examine Birmingham's Urban Heat Island (UHI). The project operated a high density air temperature-sensor network and has lead to a number of research projects examining Birmingham's UHI in more detail than ever-before possible.\r\n\r\nThis dataset collection temperature, dew point, relative humidity, pressure, solar radiation, precipitation, wind and hail measurements from a high density network of meteorological sensors installed within the Birmingham conurbation. This includes 73 Aginova Sentinel Micro air temperature sensors and 25 Vaisala WXT520 weather transmitters between 2012-14.\r\n\r\nThese measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)" } ], "responsiblepartyinfo_set": [ 55574, 55568, 55573, 55571, 55569, 55572, 55575, 55570, 55765, 55766, 55767, 55768, 55769 ], "onlineresource_set": [ 8730, 8729, 8746, 8747, 87789 ] }, { "ob_id": 14326, "uuid": "8650e1ec31144253a31e948c53fa2cca", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Greenland Margin from the PALSAR instrument for winters 2006-2011 (April 2016 release)", "abstract": "This dataset contains ice velocities for the Greenland margin for winter 1995-1996. This dataset has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThis dataset consists of ice velocity maps which have been generated from PALSAR data on the ALOS satellite for the winters between 2006-2011. The data is supplied on a 500m polar stereographic grid. The ice velocity product contain the horizontal components, vN and vE, of the total velocity vector, which is derived from radar measurements assuming surface parallel flow. The used digital elevation model of the surface is also supplied. The North and East velocities at any grid points are given in a local geographic north-east coordinates system (and not in the used grid map projection system).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-09-11T13:04:22", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataReason": "", "keywords": "Greenland Ice Sheet, ESA, CCI", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-04-11T16:08:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 895, "bboxName": "", "eastBoundLongitude": -10.0, "westBoundLongitude": -80.0, "southBoundLatitude": 60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 14327, "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/old_products/Greenland_Margin_PALSAR_Winters_2006_2011/v1.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1101462737, "numberOfFiles": 24, "fileFormat": "Data are NetCDF-4 formatted" }, "timePeriod": { "ob_id": 3790, "startTime": "2006-12-20T00:00:00", "endTime": "2011-03-17T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2553, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 25, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14317, "uuid": "362f66a7e09a4a59be2a40af6b41d0a6", "short_code": "proj", "title": "ESA Greenland Ice Sheet Climate Change Initiative Project", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. Over the last decade, the Greenland Ice Sheet has shown rapid change, characterized by rapid thinning along the margins, accelerating outlet glaciers, and overall increasing mass loss. The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 12066, 13230, 13231, 13232, 13233, 50547, 50548, 53927, 53928 ], "vocabularyKeywords": [ { "ob_id": 10146, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org19", "resolvedTerm": "The Geological Survey of Denmark and Greenland" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14316, "uuid": "394464f9c39445d3b6445d8e305841d7", "short_code": "coll", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland Ice Sheet CCI) Dataset Collection", "abstract": "The Greenland Ice Sheet CCI project aims to maximize the impact of ESA satellite data on climate research, by analysing data from ESA Earth Observation missions such as ERS, Envisat, CryoSat, GRACE and the new Sentinel series of satellites. 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The state of the Greenland Ice Sheet is of global importance, and has consequently been included in the ESA CCI Programme as a monitored Essential Climate Variable (ECV).\r\n\r\nThe project is producing data products of the following five parameters, which are important in characterizing the Greenland Ice Sheet as an Essential Climate Variable: Surface Elevation Change (SEC) gridded data from radar altimetry; Ice Velocity (IV) gridded data from synthetic aperture radar interferometry and feature tracking; Calving Front Location (CFL) time series of marine-terminating glaciers; Grounding Line Location (GLL) time series of marine-terminating glaciers; Gravimetry Mass Balance (GMB) maps and time series." } ], "responsiblepartyinfo_set": [ 55613, 55615, 55616, 55617, 104922, 105138, 105316, 55614 ], "onlineresource_set": [ 8738, 8739, 9259, 15840, 16565 ] }, { "ob_id": 14328, "uuid": "8a575ae6a7fc42348315cab8d5754ad6", "title": "Polluted Troposphere TORCH2: ECMWF trajectories", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast.\r\n\r\nThis dataset contains ECMWF trajectories.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-09-21T16:11:20", "updateFrequency": "notPlanned", "dataLineage": "Data were produced from the British Atmospheric Data Centre's trajectory service for the TORCH project based on ECMWF operational model output.", "removedDataReason": "", "keywords": "Polluted Troposphere, TORCH2, Model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-13T11:47:33", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 896, "bboxName": "NAE", "eastBoundLongitude": 20.0, "westBoundLongitude": -90.0, "southBoundLatitude": 0.0, "northBoundLatitude": 80.0 }, "verticalExtent": null, "result_field": { "ob_id": 14329, "dataPath": "/badc/polluted-tropo/data/torch/torch2_2004/trajectories-ecmwf-badc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13004921, "numberOfFiles": 445, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3791, "startTime": "2004-04-27T23:00:00", "endTime": "2004-05-26T23:00:00" }, "resultQuality": { "ob_id": 762, "explanation": "Some information may be available in the data files.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 3140, "uuid": "24aae650734b47d2b217647ea667ba90", "short_code": "cmppr", "title": "Composite Process for: Data from ECMWF trajectory model at BADC Computers for the Polluted Troposphere NERC Research Programme Project", "abstract": "This process is comprised of multiple procedures: 1. Computation: ECMWF trajectory model deployed on BADC Computers; \n" }, "imageDetails": [ 18 ], "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": 14345, "uuid": "e4f3408113a941b1a0c71e7ed1cb0654", "short_code": "proj", "title": "Tropospheric ORganic CHemistry experiment TORCH2 field campaign, Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nTropospheric ORganic CHemistry Experiment (TORCH) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York.\r\n\r\nOrganic compounds are found throughout the atmosphere and contribute to the generation of both fine aerosol and photochemical oxidants such as ozone. The project contains comprehensive and integrated programme of modelling and measurements to address three inter-linked areas of current uncertainty:\r\n\r\n-To increase understanding of the role played by primary and partially oxidised organics in gas phase photochemistry.\r\n-To develop thermodynamic and microphysical descriptions of organic aerosol and use them in improved models of behaviour in the atmosphere.\r\n-To investigate the production, composition and evolution of organic aerosol and its links with gas phase organic oxidation.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\nThe Tropospheric Organic Chemistry experiment would formed a multi-institution consortium project with the Polluted Troposphere programme.\r\n\r\nThe TORCH project consisted of two intensive measurement campaigns : TORCH1 in Writtle, Essex in 2003 and at the Weybourne Atmospheric Observatory, Norfolk, in 2004.\r\n\r\nTORCH 2 \r\n- This took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n- The same complement of instruments was used to sample air with a longer processing time (8-16 hours)\r\n\r\nOver 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 41999 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 1875, "uuid": "57038ca1ded5da15898197487c8edea9", "short_code": "coll", "title": "Polluted Troposphere IONS: Surface Level Atmospheric Measurements of Background Ion Production rates and Small Ion Concentrations", "abstract": "Ionisation as a precursor to Aerosol Formation (also known as IONS) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00150 - Duration 2002 - 2005) and was led by Dr RG Harrison, University of Reading.\r\n\r\nFormation of ultrafine particles from molecular cluster ions in the atmosphere has been shown to occur in urban air, from both experimental findings and theoretical considerations. Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. Data from the TORCH2 campaign are also included as used by the project participants.\r\n\r\nThe Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric." }, { "ob_id": 14346, "uuid": "6ac7dd15c35b416d83dbebc1713c7909", "short_code": "coll", "title": "Polluted Troposphere TORCH2: Tropospheric ORganic CHemistry Experiment (TORCH2) Ground-based Atmospheric Components Measurements Collection from the Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. 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Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n \r\nTORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\n\r\nThis collection also includes data collected as part of the NERC Polluted Troposphere \"Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere\" project.\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 55628, 55622, 55623, 55625, 55626, 55627, 55629, 55624 ], "onlineresource_set": [] }, { "ob_id": 14330, "uuid": "7826da5f1ac14003b38e6cfb50f9969d", "title": "Polluted Troposphere TORCH2: University of East Anglia O3 measurements at Weybourne Atmospheric Observatory, UK", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast.\r\n\r\nThis dataset contains O3 measurements from a 49C Analyser.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-05-02T20:17:09", "updateFrequency": "notPlanned", "dataLineage": "Data were collected at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003 and in April and May 2004 at Weybourne Atmospheric Observatory. Data files supplied as is to the BADC by the campaign participants.", "removedDataReason": "", "keywords": "Polluted Troposphere, TORCH2, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-13T10:43:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 893, "bboxName": "Weybourne Atmospheric Observatory", "eastBoundLongitude": 1.1219, "westBoundLongitude": 1.1219, "southBoundLatitude": 52.9504, "northBoundLatitude": 52.9504 }, "verticalExtent": null, "result_field": { "ob_id": 14331, "dataPath": "/badc/polluted-tropo/data/torch/torch2_2004/uea-o3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1594312, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3791, "startTime": "2004-04-27T23:00:00", "endTime": "2004-05-26T23:00:00" }, "resultQuality": { "ob_id": 746, "explanation": "Some information may be available in the data files.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3083, "uuid": "daf828ed8d8345aea425a910bbb2851e", "short_code": "acq", "title": "Acquisition Process for: Data from UEA: TEI 49 UV absorption O3 analyser at Writtle College, UK for the Polluted Troposphere NERC Research Programme Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: UEA: TEI 49 UV absorption O3 analyser; PLATFORMS: Writtle College, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 14345, "uuid": "e4f3408113a941b1a0c71e7ed1cb0654", "short_code": "proj", "title": "Tropospheric ORganic CHemistry experiment TORCH2 field campaign, Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. 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Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. 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Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n \r\nTORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\n\r\nThis collection also includes data collected as part of the NERC Polluted Troposphere \"Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere\" project.\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 55634, 55630, 55631, 55637, 55632, 55635, 55636, 55633 ], "onlineresource_set": [] }, { "ob_id": 14332, "uuid": "56d4701433134da7bcd4795f0b0520d7", "title": "Polluted Troposphere TORCH2: Univeristy of Leicester filter radiometer j(NO2) measurements at Writtle College, UK", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast.\r\n\r\nThis dataset contains j(NO2) measurements from a filter radiometer.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-06-16T14:50:19", "updateFrequency": "notPlanned", "dataLineage": "Data were collected at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003 and in April and May 2004 at Weybourne Atmospheric Observatory. 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The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nTropospheric ORganic CHemistry Experiment (TORCH) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York.\r\n\r\nOrganic compounds are found throughout the atmosphere and contribute to the generation of both fine aerosol and photochemical oxidants such as ozone. The project contains comprehensive and integrated programme of modelling and measurements to address three inter-linked areas of current uncertainty:\r\n\r\n-To increase understanding of the role played by primary and partially oxidised organics in gas phase photochemistry.\r\n-To develop thermodynamic and microphysical descriptions of organic aerosol and use them in improved models of behaviour in the atmosphere.\r\n-To investigate the production, composition and evolution of organic aerosol and its links with gas phase organic oxidation.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\nThe Tropospheric Organic Chemistry experiment would formed a multi-institution consortium project with the Polluted Troposphere programme.\r\n\r\nThe TORCH project consisted of two intensive measurement campaigns : TORCH1 in Writtle, Essex in 2003 and at the Weybourne Atmospheric Observatory, Norfolk, in 2004.\r\n\r\nTORCH 2 \r\n- This took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n- The same complement of instruments was used to sample air with a longer processing time (8-16 hours)\r\n\r\nOver 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. 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Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. Data from the TORCH2 campaign are also included as used by the project participants.\r\n\r\nThe Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric." }, { "ob_id": 14346, "uuid": "6ac7dd15c35b416d83dbebc1713c7909", "short_code": "coll", "title": "Polluted Troposphere TORCH2: Tropospheric ORganic CHemistry Experiment (TORCH2) Ground-based Atmospheric Components Measurements Collection from the Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nThis dataset collection contains measurements of O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n \r\nTORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\n\r\nThis collection also includes data collected as part of the NERC Polluted Troposphere \"Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere\" project.\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 55638, 55639, 55640, 55641, 55643, 55644, 55645, 55642, 55646 ], "onlineresource_set": [] }, { "ob_id": 14334, "uuid": "6ea9a78aa6c14ae1ac24ad697876875c", "title": "Polluted Troposphere TORCH2: University of Bristol butane and benzene measurements at Weybourne Atmospheric Observatory, UK", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast.\r\n\r\nThis dataset contains butane and benzene measurements from a MADS-GCMS.\r\n\r\nThese data were also collected as part of the Polluted Troposphere: Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-20T09:42:55", "updateFrequency": "notPlanned", "dataLineage": "Data were collected at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003 and in April and May 2004 at Weybourne Atmospheric Observatory. Data files supplied as is to the BADC by the campaign participants.", "removedDataReason": "", "keywords": "Polluted Troposphere, TORCH2, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-13T10:41:23", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 893, "bboxName": "Weybourne Atmospheric Observatory", "eastBoundLongitude": 1.1219, "westBoundLongitude": 1.1219, "southBoundLatitude": 52.9504, "northBoundLatitude": 52.9504 }, "verticalExtent": null, "result_field": { "ob_id": 14335, "dataPath": "/badc/polluted-tropo/data/torch/torch2_2004/bristol-gcms/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33801, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3791, "startTime": "2004-04-27T23:00:00", "endTime": "2004-05-26T23:00:00" }, "resultQuality": { "ob_id": 776, "explanation": "Some information may be available in the data files.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14336, "uuid": "c5c270ff7cb546639efa4a72a21a0721", "short_code": "acq", "title": "Acquisition Process for: Bristol GCMS data at Weybourne", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Bristol: GCMS " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 12035, "uuid": "61d84ba6e537f5d4d0a1d4e49de85fc8", "short_code": "proj", "title": "Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere", "abstract": "Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere was a NERC Polluted Troposphere Research project (Round 1 - NER/T/S/2002/00151 - Duration 2002 - 2005) and was led by DR D Shallcross, University of Bristol\r\n\r\nThe aims of this project were:\r\n\r\n-To develop new methods for routine observations of the oxygenated VOCs concentrations in air based on advanced GC-MS technology.\r\n-Specifically targeted OVOCs which included methanol, ethanol, propanol, butanol, methyl butenol (MBO), acetone, butanone, 3-methyl furan, acrolein, mathacrolein, methyl vinyl ketone and the C2 to C6 aldehydes.\r\n-Survey for new OVOCs in the VOCs sample matrix. In collaboration with Leeds, participation in the TORCH 2004 field campaign.\r\n-Obtain parallel measurements for as many NMHCs as can be resolved and deconvoluted by GC-MS techniques. Key species included isoprene, 1,3-butadiene, benzene and toluene together with the n- and iso- C2 to C6 alkanes.\r\n-From the resolved OVOCs and NMHC measurements investigation was made into hydrocarbon degradation products in air of different photochemical age and origin." }, { "ob_id": 14345, "uuid": "e4f3408113a941b1a0c71e7ed1cb0654", "short_code": "proj", "title": "Tropospheric ORganic CHemistry experiment TORCH2 field campaign, Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nTropospheric ORganic CHemistry Experiment (TORCH) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York.\r\n\r\nOrganic compounds are found throughout the atmosphere and contribute to the generation of both fine aerosol and photochemical oxidants such as ozone. The project contains comprehensive and integrated programme of modelling and measurements to address three inter-linked areas of current uncertainty:\r\n\r\n-To increase understanding of the role played by primary and partially oxidised organics in gas phase photochemistry.\r\n-To develop thermodynamic and microphysical descriptions of organic aerosol and use them in improved models of behaviour in the atmosphere.\r\n-To investigate the production, composition and evolution of organic aerosol and its links with gas phase organic oxidation.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\nThe Tropospheric Organic Chemistry experiment would formed a multi-institution consortium project with the Polluted Troposphere programme.\r\n\r\nThe TORCH project consisted of two intensive measurement campaigns : TORCH1 in Writtle, Essex in 2003 and at the Weybourne Atmospheric Observatory, Norfolk, in 2004.\r\n\r\nTORCH 2 \r\n- This took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n- The same complement of instruments was used to sample air with a longer processing time (8-16 hours)\r\n\r\nOver 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 68089 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 1875, "uuid": "57038ca1ded5da15898197487c8edea9", "short_code": "coll", "title": "Polluted Troposphere IONS: Surface Level Atmospheric Measurements of Background Ion Production rates and Small Ion Concentrations", "abstract": "Ionisation as a precursor to Aerosol Formation (also known as IONS) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00150 - Duration 2002 - 2005) and was led by Dr RG Harrison, University of Reading.\r\n\r\nFormation of ultrafine particles from molecular cluster ions in the atmosphere has been shown to occur in urban air, from both experimental findings and theoretical considerations. Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. Data from the TORCH2 campaign are also included as used by the project participants.\r\n\r\nThe Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric." }, { "ob_id": 14346, "uuid": "6ac7dd15c35b416d83dbebc1713c7909", "short_code": "coll", "title": "Polluted Troposphere TORCH2: Tropospheric ORganic CHemistry Experiment (TORCH2) Ground-based Atmospheric Components Measurements Collection from the Weybourne Atmospheric Observatory, Norfolk", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nThis dataset collection contains measurements of O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n \r\nTORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. \r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\n\r\nThis collection also includes data collected as part of the NERC Polluted Troposphere \"Advanced GC-MS technology for observing OVOCs and NMHCs in the polluted troposphere\" project.\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 55647, 55649, 55650, 55652, 55653, 55882, 105088, 55651 ], "onlineresource_set": [] }, { "ob_id": 14338, "uuid": "51225981eb6143658653ff329ab20084", "title": "Polluted Troposphere TORCH1: University of Leicester Relative humidity measurements at Writtle College", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex.\r\n\r\nThis dataset contains relative humidity measurements from the University of Leicester's Rotronic MP103A temperature sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-11-16T17:15:54", "updateFrequency": "notPlanned", "dataLineage": "Data were collected at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003. Data files supplied as-is to the BADC by the campaign participants.", "removedDataReason": "", "keywords": "Polluted Troposphere, TORCH1, Humidity", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-13T10:40:33", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 892, "bboxName": "Writtle College", "eastBoundLongitude": 0.4146, "westBoundLongitude": 0.4146, "southBoundLatitude": 51.7399, "northBoundLatitude": 51.7399 }, "verticalExtent": null, "result_field": { "ob_id": 14339, "dataPath": "/badc/polluted-tropo/data/torch/torch1_2003/leic-relativehumidity/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1300697, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 829, "startTime": "2003-07-24T23:00:00", "endTime": "2003-08-29T23:00:00" }, "resultQuality": { "ob_id": 749, "explanation": "Some information may be available in the data files.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14340, "uuid": "e6736e5363af495eacfa8fe3933b0a8b", "short_code": "acq", "title": "Polluted Troposphere TORCH 1: University of Leicester Relative humidity measurements at Writtle Colleg", "abstract": "Polluted Troposphere TORCH 1: University of Leicester Relative humidity measurements at Writtle Colleg" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: 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": 14344, "uuid": "e1f2bd49c57644919c38c9c872024c1a", "short_code": "proj", "title": "Tropospheric ORganic CHemistry experiment TORCH1 field campaign, Writtle College, Essex", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nTropospheric ORganic CHemistry Experiment (TORCH) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York.\r\n\r\nOrganic compounds are found throughout the atmosphere and contribute to the generation of both fine aerosol and photochemical oxidants such as ozone. The project contains comprehensive and integrated programme of modelling and measurements to address three inter-linked areas of current uncertainty:\r\n\r\n-To increase understanding of the role played by primary and partially oxidised organics in gas phase photochemistry.\r\n-To develop thermodynamic and microphysical descriptions of organic aerosol and use them in improved models of behaviour in the atmosphere.\r\n-To investigate the production, composition and evolution of organic aerosol and its links with gas phase organic oxidation.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\nThe Tropospheric Organic Chemistry experiment would formed a multi-institution consortium project with the Polluted Troposphere programme.\r\n\r\nThe TORCH project consisted of two intensive measurement campaigns : TORCH1 in Writtle, Essex in 2003 and at the Weybourne Atmospheric Observatory, Norfolk, in 2004.\r\n\r\nWrittle site TORCH 1 \r\n- Based at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003.\r\n- The measurement site was located 20 miles from London and 10 miles from the M25 thus giving the opportunity to sample air recently outflowing from the London area.\r\n- Over 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments were also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n\r\nOver 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 914, 13234 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3058, "uuid": "201f8dcfce324681b79bc899e9337d99", "short_code": "coll", "title": "Polluted Troposphere TORCH1: Tropospheric ORganic CHemistry Experiment (TORCH1) Ground-based Atmospheric Components Measurements Collection at Writtle College as part of the Polluted Troposphere Programme", "abstract": "The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nThis dataset collection contains measurements of O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM).\r\n \r\nTORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\n\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 55658, 55659, 55660, 55661, 55663, 55664, 55666, 55665, 55662 ], "onlineresource_set": [] }, { "ob_id": 14341, "uuid": "799aca01b8794bf4a7b7230fc29d8b4e", "title": "Polluted Troposphere TORCH1: Imperial College model outputs at Writtle College", "abstract": "Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. 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The programme focussed on the regional scale, defined as intermediate between urban and hemispheric.\r\n\r\nTropospheric ORganic CHemistry Experiment (TORCH) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York.\r\n\r\nOrganic compounds are found throughout the atmosphere and contribute to the generation of both fine aerosol and photochemical oxidants such as ozone. The project contains comprehensive and integrated programme of modelling and measurements to address three inter-linked areas of current uncertainty:\r\n\r\n-To increase understanding of the role played by primary and partially oxidised organics in gas phase photochemistry.\r\n-To develop thermodynamic and microphysical descriptions of organic aerosol and use them in improved models of behaviour in the atmosphere.\r\n-To investigate the production, composition and evolution of organic aerosol and its links with gas phase organic oxidation.\r\n\r\nThe goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy. \r\nThe Tropospheric Organic Chemistry experiment would formed a multi-institution consortium project with the Polluted Troposphere programme.\r\n\r\nThe TORCH project consisted of two intensive measurement campaigns : TORCH1 in Writtle, Essex in 2003 and at the Weybourne Atmospheric Observatory, Norfolk, in 2004.\r\n\r\nWrittle site TORCH 1 \r\n- Based at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003.\r\n- The measurement site was located 20 miles from London and 10 miles from the M25 thus giving the opportunity to sample air recently outflowing from the London area.\r\n- Over 50 scientists from 7 institutions were involved, using a comprehensive suite of instruments that measured: O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. 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The reprocessing chain was further updated with the new algorithms and knowledge from the ESA CCI Sea Ice project. \r\n\r\nData was supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, CCI, Antarctic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "historicalArchive", "dataPublishedTime": "2016-03-08T16:46:22", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 898, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": -16.6 }, "verticalExtent": null, "result_field": { "ob_id": 14374, "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/phase1_oldproducts/amsr-e/v1.11/SouthernHemisphere", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23953542049, "numberOfFiles": 3299, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 3804, "startTime": "2002-06-18T23:00:00", "endTime": "2011-10-03T22:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 19999, "uuid": "6751e7c7218f4e72902508ec8eeae789", "short_code": "acq", "title": "AMSR-E", "abstract": "Advanced Microwave Scanning Radiometer - Earth Observing System Sensor on the NASA Aqua Satellite" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2573, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 40, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 11040, 11042, 13244, 13245, 13246, 13247, 13248, 13249, 13250, 13251, 13252, 13253 ], "vocabularyKeywords": [ { "ob_id": 10177, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_aqua", "resolvedTerm": "Aqua" }, { "ob_id": 10274, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sic", "resolvedTerm": "sea ice concentration" }, { "ob_id": 10115, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org46", "resolvedTerm": "Norwegian Meteorological Institute" }, { "ob_id": 10215, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_day", "resolvedTerm": "day" }, { "ob_id": 10350, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_amsr", "resolvedTerm": "AMSR" }, { "ob_id": 10192, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level4", "resolvedTerm": "Level 4" }, { "ob_id": 10226, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_seaIce", "resolvedTerm": "sea ice" }, { "ob_id": 10165, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_amsre", "resolvedTerm": "AMSRE" }, { "ob_id": 10488, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_eos", "resolvedTerm": "EOS" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The Sea Ice CCI is developing improved and validated timeseries of ice concentration for the Arctic and Antarctic and ice thickness datasets for the Arctic to support climate research and monitoring. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic." } ], "responsiblepartyinfo_set": [ 55799, 55800, 55801, 75458, 104883, 105097, 105276, 55798, 75459, 75460, 75461, 75462, 75463, 75464, 75465, 55802, 75466, 75467 ], "onlineresource_set": [ 8812, 8813, 8811, 15379, 16562, 8810 ] }, { "ob_id": 14375, "uuid": "ffea041274fd4f2b929ff7a826395742", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Southern Hemisphere Sea Ice Concentration (SIC) from the SSMI instrument, Version 1.11", "abstract": "This data set is part of the ESA Sea Ice Climate Change Initiative (CCI) project. The dataset provides sea ice concentration (SIC) for the Antarctic region, derived from the SSMI satellite instrument. \r\n\r\n It consists of daily gridded SIC fields based on Passive Microwave Radiometer measurements from the SSMI instrument with a 25km grid spacing, along with the total standard error (uncertainty) and quality control flags. It has been built upon the algorithms and processing software originally developed at the EUMETSAT OSI SAF for their SIC dataset.\r\n\r\nPlease note, in the sea ice concentration data set - on purpose - no weather filter has been applied to eliminate weather-induced spurious ice in the open ocean along the ice edge in order to avoid discarding regions with a real sea ice cover. Users are advised to read the product user guide and the publication by Ivanova et al. [2015] (see documentation section). \r\n\r\nA second sea ice dataset has also been produced from the AMSR-E instrument, and these should be regarded as individual datasets and not combined without further investigations about the compatibility.\r\n\r\n\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-07-17T15:33:40.140707", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI Sea Ice project team.\r\n\r\nContribution of the EUMETSAT OSI SAF to the production of the SICCI SIC dataset is acknowledged. EUMETSAT OSI SAF provided access and allowed re-use of its SIC reprocessing software and data hosting facilities. The reprocessing chain was further updated with the new algorithms and knowledge from the ESA CCI Sea Ice project. \r\n\r\nData was supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, CCI, Antarctic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "historicalArchive", "dataPublishedTime": "2016-03-08T16:45:19", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 898, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": -16.6 }, "verticalExtent": null, "result_field": { "ob_id": 14376, "dataPath": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/phase1_oldproducts/ssmi/v1.11/SouthernHemisphere", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 45528201078, "numberOfFiles": 6247, "fileFormat": "Data are in NetCDF format" }, "timePeriod": { "ob_id": 3803, "startTime": "1992-01-01T00:00:00", "endTime": "2008-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 20000, "uuid": "19f9d874584b4c7d92ffb98068c8cf87", "short_code": "acq", "title": "SSMI", "abstract": "Special Sensor Microwave Imager, satellite passive microwave radiometers" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 147 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2573, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 40, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 14368, "uuid": "d2112cfb5dab407599a64d9451d960b4", "short_code": "proj", "title": "ESA Sea Ice Climate Change Initiative Project", "abstract": "The ESA CCI Sea Ice project aims to combine and extend ongoing research to develop improved and validated timeseries of ice concentration and ice thickness for use in climate research. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic. The project includes representatives from the scientific user community and climate research programmes to validate the ice concentration and ice thickness retrievals provided by the EO science team. \r\n\r\nThe ESA CCI Sea Ice project will deliver global data sets on ice concentration for Arctic and Antarctic, and ice thickness data sets for the Arctic, to support climate research and monitoring according to the GCOS requirements for generation of satellite-based data sets and products. This implies provision of data sets with associated metadata, software systems, technical documentation and scientific reports/publications. Ice thickness data from radar altimeters are not available for the Antarctic as a useful data set for climate research. The data sets to be delivered as the sea ice ECV parameters are based on many years of research where the members of the consortium are playing a leading role in development and validation of the EO-based data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 11040, 11042, 13244, 13245, 13246, 13247, 13248, 13249, 13250, 13251, 13252, 13253 ], "vocabularyKeywords": [ { "ob_id": 10274, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_sic", "resolvedTerm": "sea ice concentration" }, { "ob_id": 10115, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org46", "resolvedTerm": "Norwegian Meteorological Institute" }, { "ob_id": 10214, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_ssmI", "resolvedTerm": "SSM/I" }, { "ob_id": 10215, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_day", "resolvedTerm": "day" }, { "ob_id": 10192, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level4", "resolvedTerm": "Level 4" }, { "ob_id": 10226, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_seaIce", "resolvedTerm": "sea ice" }, { "ob_id": 10358, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_ssmi", "resolvedTerm": "SSMI" }, { "ob_id": 10461, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformGrp/plat_dmsp", "resolvedTerm": "DMSP" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 14367, "uuid": "5e789087d4e847308a39b3fe5b26e281", "short_code": "coll", "title": "ESA Sea Ice Climate Change Initiative (Sea Ice CCI) Dataset Collection", "abstract": "Collection of datasets from the ESA Sea Ice Climate Change Initiative (CCI) project. The Sea Ice CCI is developing improved and validated timeseries of ice concentration for the Arctic and Antarctic and ice thickness datasets for the Arctic to support climate research and monitoring. Since sea ice is a sensitive climate indicator with large seasonal and regional variability, the climate research community require long-term and regular observations of the key ice parameters in both Arctic and Antarctic." } ], "responsiblepartyinfo_set": [ 55805, 55806, 55807, 75468, 104880, 105094, 105273, 55808, 75469, 75470, 75471, 75472, 75473, 75474, 75475, 55804, 75476, 75477 ], "onlineresource_set": [ 8815, 8817, 8816, 15377, 16563, 8814 ] }, { "ob_id": 14397, "uuid": "33ac39755cad49e38e34b048678a67aa", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the \"Active\", \"Passive\" and \"Combined\" products, Version 02.2", "abstract": "These ancillary datasets were used in the production of the \"Active\", \"Passive\" and \"Combined\" soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v02.2 Soil Moisture CCI data.\r\n\r\nFor further information on these and the references associated with them please see the Product Specification Document (PSD), a link to which is provided in the documentation section. The \"Active\" \"Passive\" and \"Combined\" soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website or within the Product Specification Document.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T11:58:29", "updateFrequency": "notPlanned", "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project.\r\nThis dataset forms part of the v02.2 Soil Moisture dataset (doi:10.5285/3729b3fbbb434930bf65d82f9b00111c. http://dx.doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c )", "removedDataReason": "", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": "2016-03-08T13:55:42", "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": 14398, "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v02.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1585174, "numberOfFiles": 6, "fileFormat": "Data is in NetCDF format" }, "timePeriod": { "ob_id": 7090, "startTime": "2002-06-30T23:00:00", "endTime": "2011-10-04T22:59:59" }, "resultQuality": { "ob_id": 3138, "explanation": "as provided by the CCI Soil Moisture team", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2018-06-25" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2535, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 15, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13332, "uuid": "c256fcfeef24460ca6eb14bf0fe09572", "short_code": "proj", "title": "ESA Soil Moisture Climate Change Initiative Project", "abstract": "The European Space Agency Soil Moisture Climate Change Initiative (Soil_Moisture_cci) project is part of the ESA Climate Change Initiative (CCI) programme, which aims to produce datasets of Essential Climate Variables (ECV's) from satellite datasets.\r\n\r\nThe Soil Moisture CCI project was set up to :\r\n - Analyse the needs of the climate research community in terms of soil moisture data.\r\n - Adapt soil moisture satellite measurements for their use by the climate research community.\r\n - Create a long-term consistent soil moisture time series, based on active and passive data, suitable for climate change studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52664, 52665, 54682, 54683, 54684, 54685, 54686 ], "vocabularyKeywords": [ { "ob_id": 10246, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_soilMst", "resolvedTerm": "soil moisture" }, { "ob_id": 10104, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org70", "resolvedTerm": "Vienna University of Technology" }, { "ob_id": 10149, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org71", "resolvedTerm": "VU University Amsterdam" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12877, "uuid": "6e4abd45503d44f09c74ee3a0e8fefb7", "short_code": "coll", "title": "ESA Soil Moisture (SM) Climate Change Initiative (CCI) Dataset Collection", "abstract": "As part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project, three surface soil moisture datasets have been created. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP (dependent on version). The 'Combined Product' is then a blended product based on the former two data sets. The Ancillary datasets involved in their production are also available. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2017-12-31 and the Active product covering 1991-08-05 to 2017-12-31 (dependent on version). The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the papers cited below. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the complete references as follows:\r\nVersion 2.1 and v2.2\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321\r\n\r\nVersion 3.2 onwards:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.2 data collection", "abstract": "Soil Moisture data (version 02.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321" } ], "responsiblepartyinfo_set": [ 55903, 55904, 55902, 104879, 105093, 105272, 109972, 55901, 109471, 109973, 109974, 109975, 109976, 109977, 109978, 109979, 109980, 109981, 109982, 109983, 109984, 109985, 109986 ], "onlineresource_set": [ 8851, 8850, 8894, 8896, 15824, 16535, 42132 ] }, { "ob_id": 14399, "uuid": "c89cb1c86f42456bb84e49ea06621c7e", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Combined' Product, Version 02.2", "abstract": "The Soil Moisture CCI 'Combined' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging the \"Active\" and \"Passive\" datasets which were created for the project, these being respectively fusions of scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. \r\n\r\nThe v02.2 product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. An overview of all known errors associated with it is provided in the Comprehensive Error Characterization Report. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. 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"http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_ssmv", "resolvedTerm": "surface soil moisture volumetric absolutes" }, { "ob_id": 10488, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_eos", "resolvedTerm": "EOS" }, { "ob_id": 10493, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_metop", "resolvedTerm": "Metop" }, { "ob_id": 10438, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_coriolis_prog", "resolvedTerm": "Coriolis" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12877, "uuid": "6e4abd45503d44f09c74ee3a0e8fefb7", "short_code": "coll", "title": "ESA Soil Moisture (SM) Climate Change Initiative (CCI) Dataset Collection", "abstract": "As part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project, three surface soil moisture datasets have been created. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP (dependent on version). The 'Combined Product' is then a blended product based on the former two data sets. The Ancillary datasets involved in their production are also available. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2017-12-31 and the Active product covering 1991-08-05 to 2017-12-31 (dependent on version). The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the papers cited below. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the complete references as follows:\r\nVersion 2.1 and v2.2\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321\r\n\r\nVersion 3.2 onwards:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.2 data collection", "abstract": "Soil Moisture data (version 02.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321" } ], "responsiblepartyinfo_set": [ 109470, 104891, 55910, 55909, 109956, 105106, 105285, 55908, 109957, 109958, 109959, 109970, 109960, 109961, 109962, 109963, 109964, 109965, 109966, 109967, 109968, 109969, 109971 ], "onlineresource_set": [ 8857, 8860, 8861, 8862, 8856, 8892, 15823, 16536, 25065, 42131, 8859, 25066, 25067 ] }, { "ob_id": 14401, "uuid": "953545f5c4454952a26db065bbca004f", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Passive' Product, Version 02.2", "abstract": "The Soil Moisture CCI 'Passive' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing radiometer soil moisture products, merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. 'Active' and 'Combined' products have also been created, the 'Active' product being a fusion of AMI-WS and ASCAT derived scatterometer products and the 'Combined Product' being a blended product based on the former two data sets. \r\n\r\nThe v02.2 Passive product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version or the paper by Wagner 2012, both available in the documentation section. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. 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The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP (dependent on version). The 'Combined Product' is then a blended product based on the former two data sets. The Ancillary datasets involved in their production are also available. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2017-12-31 and the Active product covering 1991-08-05 to 2017-12-31 (dependent on version). The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the papers cited below. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the complete references as follows:\r\nVersion 2.1 and v2.2\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321\r\n\r\nVersion 3.2 onwards:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.2 data collection", "abstract": "Soil Moisture data (version 02.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321" } ], "responsiblepartyinfo_set": [ 55917, 55918, 55919, 104917, 105133, 105311, 109941, 55916, 109469, 109942, 109943, 109944, 109945, 109946, 109947, 109948, 109949, 109950, 109951, 109952, 109953, 109954, 109955 ], "onlineresource_set": [ 8868, 8865, 8866, 8871, 8890, 8870, 15822, 16533, 8867, 25061, 42130 ] }, { "ob_id": 14403, "uuid": "663a557e848a4a9f8f0d205c6b3cb7f6", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 02.2", "abstract": "The Soil Moisture CCI 'Active' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. 'Passive' and 'Combined' products have also been created. The 'Passive' product is a fusion of radiometer data acquired by the SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.\r\n\r\nThe v02.2 Active product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2014-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. 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Analyse the needs of the climate research community in terms of soil moisture data.\r\n - Adapt soil moisture satellite measurements for their use by the climate research community.\r\n - Create a long-term consistent soil moisture time series, based on active and passive data, suitable for climate change studies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50512, 52664, 52665, 54640, 54641, 54642, 54643, 54644, 54645, 54646, 54647 ], "vocabularyKeywords": [ { "ob_id": 10185, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_ascat", "resolvedTerm": "ASCAT" }, { "ob_id": 10302, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_ssms", "resolvedTerm": "surface soil moisture degree of saturation absolute" }, { "ob_id": 10246, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_soilMst", "resolvedTerm": "soil moisture" }, { "ob_id": 10339, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_active", "resolvedTerm": "ACTIVE" }, { "ob_id": 10205, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_metOpA", "resolvedTerm": "Metop-A" }, { "ob_id": 10104, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org70", "resolvedTerm": "Vienna University of Technology" }, { "ob_id": 10379, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_ami_scat", "resolvedTerm": "AMI-SCAT" }, { "ob_id": 10365, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_ers", "resolvedTerm": "ERS" }, { "ob_id": 10181, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level3", "resolvedTerm": "Level 3" }, { "ob_id": 10281, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_ers2", "resolvedTerm": "ERS-2" }, { "ob_id": 10285, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platform/plat_ers1", "resolvedTerm": "ERS-1" }, { "ob_id": 10175, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level3S", "resolvedTerm": "Level 3S" }, { "ob_id": 10215, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_day", "resolvedTerm": "day" }, { "ob_id": 10493, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/platformProg/plat_metop", "resolvedTerm": "Metop" }, { "ob_id": 10149, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org71", "resolvedTerm": "VU University Amsterdam" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12877, "uuid": "6e4abd45503d44f09c74ee3a0e8fefb7", "short_code": "coll", "title": "ESA Soil Moisture (SM) Climate Change Initiative (CCI) Dataset Collection", "abstract": "As part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project, three surface soil moisture datasets have been created. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP (dependent on version). The 'Combined Product' is then a blended product based on the former two data sets. The Ancillary datasets involved in their production are also available. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2017-12-31 and the Active product covering 1991-08-05 to 2017-12-31 (dependent on version). The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the papers cited below. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the complete references as follows:\r\nVersion 2.1 and v2.2\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321\r\n\r\nVersion 3.2 onwards:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.2 data collection", "abstract": "Soil Moisture data (version 02.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321" } ], "responsiblepartyinfo_set": [ 55925, 55926, 55927, 104882, 105096, 105275, 109925, 55924, 109926, 109468, 109927, 109929, 109930, 109931, 109932, 109933, 109934, 109935, 109936, 109940, 109937, 109938, 109939 ], "onlineresource_set": [ 8878, 8875, 8879, 8882, 8888, 8883, 15821, 16534, 25060, 8880, 42129 ] }, { "ob_id": 14420, "uuid": "9e1a1129772b4e088c136da0d81040e1", "title": "Polluted Troposphere IONS: Meteorological measurements from Weybourne Atmospheric Observatory", "abstract": "Ionisation as a precursor to Aerosol Formation (also known as IONS) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00150 - Duration 2002 - 2005) and was led by Dr RG Harrison, University of Reading.\r\n\r\nThis dataset contains solar radiation, ground heat flux, air temperature, wind, dew point and relative humidity measurements at the Weybourne Atmospheric Observatory (WAO), Norfolk.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-10-17T16:01:50", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained at the Weybourne Atmospheric Observatory on the Norfolk coast during the TORCH 2 campaign of May/June 2004 and at the University of Reading meteorological field site. 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Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13197, 13200, 21769, 21824, 23421, 25402, 25884, 25891, 25918 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 1875, "uuid": "57038ca1ded5da15898197487c8edea9", "short_code": "coll", "title": "Polluted Troposphere IONS: Surface Level Atmospheric Measurements of Background Ion Production rates and Small Ion Concentrations", "abstract": "Ionisation as a precursor to Aerosol Formation (also known as IONS) was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00150 - Duration 2002 - 2005) and was led by Dr RG Harrison, University of Reading.\r\n\r\nFormation of ultrafine particles from molecular cluster ions in the atmosphere has been shown to occur in urban air, from both experimental findings and theoretical considerations. Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. Data from the TORCH2 campaign are also included as used by the project participants.\r\n\r\nThe Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric." } ], "responsiblepartyinfo_set": [ 55967, 55969, 55968, 55971, 55972, 55973, 55974, 55970 ], "onlineresource_set": [] }, { "ob_id": 14423, "uuid": "5b62597f2cc949e384ea162aa88c04ca", "title": "Polluted Troposphere IONS: Meteorological and Aerosol counter raw measurements from the University of Reading and Weybourne Atmospheric Observatories.", "abstract": "Ionisation as a precursor to Aerosol Formation (also known as IONS) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00150 - Duration 2002 - 2005) and was led by Dr RG Harrison, University of Reading.\r\n\r\nThis dataset contains raw measurements of solar radiation, ground heat flux, air temperature, wind, dew point and relative humidity and aerosol counter from University of Reading and Weybourne Atmospheric Observatories.\r\n\r\nPlease refer to the other datasets for the NASA Ames formatted final versions of these datasets.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-18T11:39:58", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained at the Weybourne Atmospheric Observatory on the Norfolk coast during the TORCH 2 campaign of May/June 2004 and at the University of Reading meteorological field site. 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Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. 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Ion-induced (or mediated) aerosol formation is currently neglected, despite the considerable variability known in atmospheric ions. Ionisation in the atmosphere is ubiquitous, arising from cosmic rays and natural radioactivity, with a further contribution from nuclear reprocessing. The efficiency of ion to particle conversion was sensitive to gas composition and condensable vapour supply. \r\n\r\nThe work measured ion-induced ultrafine particle production in surface air, combining ion and aerosol data. Existing ion-aerosol theory will be extended to include particle production from ions, to assess the significance for clouds of additional condensation nuclei.\r\n\r\nThis dataset collection contains surface level atmospheric measurements of background ion production rates and small ion concentrations. 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