Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=500
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=600", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=400", "results": [ { "ob_id": 4773, "uuid": "794eccbedfb6b78471fd077a4e406ac2", "title": "Convective Storm Initiation Project (CSIP) Pilot: UK Met Office 2 km Nimrod Rain Radar Data", "abstract": "The UK Met Office NIMROD radar data describe rain-rate observations taken by NIMROD, which is a very short range forecasting system used by the Met Office. Data were collected during July 2004 at UK only stations. The dataset contains measurements of rain rate data and images. These data are 2 km resolution supplied specifically for the CSIP campaign.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-08-24T15:40:41", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Met Office's Nimrod system and these particular data were then delivered to the BADC for ingestion into the CSIP Pilot Field Campaign.", "removedDataReason": "", "keywords": "CSIP, Met Office, Rain radar", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T14:02:47", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 721, "bboxName": "NIMROD UK domain", "eastBoundLongitude": 4.0, "westBoundLongitude": -13.469999, "southBoundLatitude": 47.0, "northBoundLatitude": 62.700001 }, "verticalExtent": null, "result_field": { "ob_id": 4774, "dataPath": "/badc/csip/data/ukmo-nimrod/2004", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 287005629, "numberOfFiles": 14895, "fileFormat": "Data are Met Office Nimrod formatted. Images are GIF formatted.\r\n\r\n" }, "timePeriod": { "ob_id": 3528, "startTime": "2004-07-05T23:00:00", "endTime": "2004-08-03T22:59:59" }, "resultQuality": { "ob_id": 1212, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4779, "uuid": "4835191543df49d681e7ca515770a405", "short_code": "acq", "title": "Acquisition Process for: UK Met Office Nimrod Radar Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: NIMROD system; PLATFORMS: Hameldon Hill Radar Station, UK, Chenies Radar Station, UK, Cobbacombe Cross Radar Station, UK, Wardon Hill Radar Station, UK, Predannack Radar Station, UK, Jersey radar station, Channel Islands, Clee Hill Radar Station, UK, Dean Hill Radar Station, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 11972, "uuid": "81ea58f6728e8240f228e04f20034299", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP) Field Campaign", "abstract": "The Convective Storm Initiation Project (CSIP) ran a 3 month long field campaign during June, July and August 2005 in southern England during which period a dense network of instruments were deployed over a large area centred on the Chilbolton Facility for Atmospheric and Radar Research (CFARR) in Hampshire, England. During this field campaign a number of \"Intense Observational Periods\" were undertaken on days of notable convective activity in order to utilise the available suite of deployed ground and airborne atmospheric instrumentation to study the meteorogical conditions during the development and subsequent life of active convective cells. This field campaign followed on from an earlier pilot field campaign in June 2004." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3201 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 42643, 21793, 21795, 21796, 21797, 21799, 42646, 21794, 49741 ], "onlineresource_set": [ 6850 ] }, { "ob_id": 4786, "uuid": "7cd5d7914bbfdff451b968b8353accfa", "title": "Convective Storm Initiation Project (CSIP): Automatic Weather Station at Faccombe, UK from the University of Salford", "abstract": "The University of Salford automatic weather station data describe observations made every 5 seconds with the data stored every one minute and 10 minutes at Faccombe wind turbine field site, Hampshire, form the 3rd of June 2005 until the 26th of August 2005.. \r\nThe dataset contains measurements of the following parameters:\r\n\r\nAverage air temperature\r\nAverage dew point (measured from 11:54 BST 22nd June 2005)\r\nAverage relative humidity\r\nAverage net radiation\r\nAverage wind speed\r\nMaximum wind speed\r\nTime of maximum wind speed\r\nTotal rainfall\r\nAverage pressure\r\nAverage wind direction\r\nMinimum wind direction\r\nMaximum wind direction\r\nAverage battery\r\n\r\nTwo jpeg images files have been produced from the AWS data for each day from 3rd June 2005 (start of CSIP field project) until 26th August 2005 (end of CSIP field project). There are two image files, the first image file listed below contains plots of the windspeed, pressure and rainfall with time for a particular day. The second image file contains air temperature, relative humidity and net radiation plots with time for a particular day.\r\n\r\nThe weather station consists of a Campbell Scientific 2 m tripod with a CR10X datalogger. Weather station sensors include a MP100A temperature and relative humidity probe, a A100L2 low power anemometer, a W200P potentiometer wind vane, a NR-Lite Net Radiometer, a RPT410F barometric pressure sensor and a ARG100 Tipping bucket rain gauge.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-04-12T13:36:53", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:58:54", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 811, "bboxName": "FACCOMBE", "eastBoundLongitude": -1.4461619, "westBoundLongitude": -1.4461619, "southBoundLatitude": 51.3313761, "northBoundLatitude": 51.3313761 }, "verticalExtent": { "ob_id": 15, "highestLevelBound": 258.1, "lowestLevelBound": 258.1, "units": "m" }, "result_field": { "ob_id": 4787, "dataPath": "/badc/csip/data/salford-aws-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 45730784, "numberOfFiles": 343, "fileFormat": "Data are netCDF formatted and images are jpg formatted." }, "timePeriod": { "ob_id": 1373, "startTime": "2005-06-02T23:00:00", "endTime": "2005-08-25T23:00:00" }, "resultQuality": { "ob_id": 1215, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4788, "uuid": "47a2e1e48b46410f9b829af5c73047c8", "short_code": "acq", "title": "Acquisition Process for: University of Salford Automatic Weather Station Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Salford: Automatic Weather Station; PLATFORMS: Faccombe, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. The project consisted of a pilot field campaign in July 2004 and the main field campaign in June, July and August 2005." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10762, 57477, 57479, 57480, 57481, 57482, 57483, 57484, 57485, 57486, 82378, 82379, 82380, 82381, 82382, 82383, 82384, 82385, 82386, 82387, 82388, 82389, 82390, 82391, 82392, 82393, 82394, 82395, 82396, 82397, 82398, 82399, 82400, 82401, 82402 ], "vocabularyKeywords": [], "identifier_set": [ 3211 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 21825, 21827, 21828, 21829, 21831, 42692, 42695, 21826, 54605 ], "onlineresource_set": [ 7025 ] }, { "ob_id": 4789, "uuid": "551de719eb4a3294f69cd29a0f898250", "title": "Convective Storm Initiation Project (CSIP): University of Salford sonic anemometer 1 measurements from Faccombe, UK", "abstract": "The University of Salford sonic anemometer 1 data describe observations taken by a 7 meter sonic anemometer at Faccombe wind turbine field site, Hampshire. The dataset contains measurements of wind speed collected from 21st July 2005 until 26th August 2005.\r\n\r\nThe dataset contains measurements of the following parameters:\r\n\r\nLatitude; the latitude of the sonic anemometer (degrees north)\r\nLongitude; the longitude of the sonic anemometer (degrees east)\r\nAltitude; the altitude of the sonic anemometer base above mean sea level (m)\r\nHeight ; the height of the sonic anemometer head above ground level (m)\r\nMeasurement rate; the measurement rate of the sonic anemometer, set at either 1 or 10 Hz\r\nSonic Orientation; the orientation of the sonic coordinate system, clockwise, to convert from sonic to meteorological coordinates (degrees)\r\nTime; time in seconds from midnight UTC for each measurement (s)\r\nX wind; the wind speed along the orthogonal x direction (m s-1)\r\nY wind; the wind speed along the orthogonal y direction (m s-1)\r\nUpperward air velocity; the wind speed along the orthogonal z direction (m s-1)\r\nSonic virtual temperature; the sonic virtual temperature, average between the three non orthogonal sonic axes, related to the speed of sound (K)\r\n\r\nThe sonic anemometer is a Campbell Scientific CSAT3 using a CR5000 datalogger. The 7 m sonic was mounted on a Clark QTM mast.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-04-12T14:08:20", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-06T15:53:47", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 713, "bboxName": "", "eastBoundLongitude": -1.445, "westBoundLongitude": -1.445, "southBoundLatitude": 51.33, "northBoundLatitude": 51.33 }, "verticalExtent": null, "result_field": { "ob_id": 4790, "dataPath": "/badc/csip/data/salford-sonic-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1155070901, "numberOfFiles": 285, "fileFormat": "Data are netCDF formatted\r\n" }, "timePeriod": { "ob_id": 1374, "startTime": "2005-06-05T23:00:00", "endTime": "2005-08-25T23:00:00" }, "resultQuality": { "ob_id": 1216, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4791, "uuid": "e1aab7cce62d4c1b8cf560fce14bacf9", "short_code": "acq", "title": "Acquisition Process for: University of Salford Sonic Anemometer 1 Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Salford: Sonic anemometer 1; PLATFORMS: Faccombe, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. The project consisted of a pilot field campaign in July 2004 and the main field campaign in June, July and August 2005." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 55511, 55512, 55513, 55514, 55515, 55516, 55517, 55519, 55520, 55521, 61679, 91914 ], "vocabularyKeywords": [], "identifier_set": [ 3212 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 21833, 21835, 21836, 21837, 21839, 42130, 42133, 21834, 54578 ], "onlineresource_set": [ 6818, 6817 ] }, { "ob_id": 4795, "uuid": "d4d51d24a53c67265f47f3527a7f20c8", "title": "Convective Storm Initiation Project (CSIP): Institute of Meteorology and Climate Research (IMK) Dornier 128 Aircraft Data at Chilbolton, UK", "abstract": "The Institute of Meterological and Climate Research Dornier 128 aircraft data were collected at Chilbolton, Hampshire by instruments on the aircraft, between the 22nd of June 2005 and the 14th of July 2005. The dataset includes measurements of wind direction and wind speed, air density, and air temperature.\r\n\r\nMeasurements taken by the Dornier 128 aircraft and stored in this dataset are:\r\n\r\nstatic pressure, uncorrected (hPa)\r\nbarometric altitude (m)\r\nradarheight above ground (m)\r\nlatitude (deg)\r\nlongitude (deg)\r\ntrue air speed (m/s)\r\nvelocity over ground (m/s)\r\nvertical velocity (m/s)\r\nradiation pyranometer top (W/m2)\r\nradiation pyranomter bottom (W/m2)\r\nradiation pyrgeometer top (W/m2)\r\nradiation pyrgeometer bottom (W/m2)\r\nair density (kg/m3)\r\nfast air temperature (deg Celsius)\r\npotential temperature (deg Celsius)\r\nfiltered mixing ratio (g/kg)\r\nmixing ratio Lyman-Alpha (g/kg)\r\nwind component west-east (m/s)\r\nwind component south-north (m/s)\r\nvertical wind component (m/s)\r\nwind direction (deg)\r\nwind speed (m/s)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-02-27T10:21:20", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Institute of Meteorology and Climate Research (IMK) before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM, aircraft, pressure, wind", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:47:01", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 719, "bboxName": "", "eastBoundLongitude": -1.602, "westBoundLongitude": -1.602, "southBoundLatitude": 51.12, "northBoundLatitude": 51.12 }, "verticalExtent": null, "result_field": { "ob_id": 4796, "dataPath": "/badc/csip/data/core_imk-dornier128", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34264874, "numberOfFiles": 19, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 1377, "startTime": "2005-06-21T23:00:00", "endTime": "2005-07-13T23:00:00" }, "resultQuality": { "ob_id": 1218, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4797, "uuid": "10a9c0b288c0485386a1e5e42523fc0a", "short_code": "acq", "title": "Acquisition Process for: Institute of Meteorology and Climate Research (IMK) Dornier 128 Aircraft Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Dornier 128 core instruments; PLATFORMS: Dornier 128; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. The project consisted of a pilot field campaign in July 2004 and the main field campaign in June, July and August 2005." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 56459 ], "vocabularyKeywords": [], "identifier_set": [ 3214 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The datset contains measurements of:\r\nThe dataset contains measurements of:\r\nHeight above sea level (m)\r\nTime since midnight (s)\r\nTime since midnight (hh:mm:ss)\r\nHeight above ground (m)\r\nDry-bulb temperature (degree Celsius)\r\nRelative Humidity (percentage)\r\nWind speed (m/s)\r\nWind direction (degree true)\r\nPressure (hPa)\r\nPotential Temperature (degree Kelvin)\r\nDew-point temperature (degree Celsius)\r\nSpecific humidity (g/kg)\r\nSaturation mixing ratio (g/kg)\r\nu-component of wind velocity (m/s)\r\nv-component of wind velocity (m/s)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-02-02T13:24:28", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Institute of Meteorology and Climate Research (IMK) before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, Radiosonde, UFAM, AMF, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T09:47:54", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 92, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 4799, "dataPath": "/badc/csip/data/imk-radiosonde", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 485922177, "numberOfFiles": 592, "fileFormat": "Date are txt formatted and images are jpg formatted." }, "timePeriod": { "ob_id": 1378, "startTime": "2005-06-18T23:00:00", "endTime": "2005-08-24T23:00:00" }, "resultQuality": { "ob_id": 1219, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4800, "uuid": "1b05d3066007496896511cb09996602d", "short_code": "acq", "title": "Acquisition Process for: Institute of Meteorology and Climate Research (IMK) Radiosonde Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Institut fuer Meteorologie und Klimaforschung: Radiosonde; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The dataset contains measurements of wind speed at various heights above the ground, and the thermodynamic structure of the lower layer of the atmosphere.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-11-25T14:27:01", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the instrument scientist during the campaign before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, Sodar", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:54:03", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 808, "bboxName": "Alice Holt", "eastBoundLongitude": -0.8603094, "westBoundLongitude": -0.8603094, "southBoundLatitude": 51.1541535, "northBoundLatitude": 51.1541535 }, "verticalExtent": { "ob_id": 18, "highestLevelBound": 2.0, "lowestLevelBound": 0.0, "units": "km" }, "result_field": { "ob_id": 4802, "dataPath": "/badc/csip/data/leeds-sodar2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20360729, "numberOfFiles": 119, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1380, "startTime": "2005-06-21T23:00:00", "endTime": "2005-08-21T23:00:00" }, "resultQuality": { "ob_id": 1220, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4803, "uuid": "fff7a854460e489aa5b8b5e60bdb3a67", "short_code": "acq", "title": "Acquisition Process for: University of Leeds Sodar 2 Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: SODAR 2; PLATFORMS: Alice Holt, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The data were collected at Chilbolton observatory, Hampshire on the 7th and the 8th of June 2005.\r\n\r\nThe data collected on the 7th of June 2005 are of ozone mixing ratios only. The data collected on the 8th of June 2005 are of ozone mixing ratios, aerosol backscatter, and boundary layer height information.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-08-20T11:23:33", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, LIDAR, UFAM, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:38:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 92, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": { "ob_id": 6, "highestLevelBound": 2.0, "lowestLevelBound": 0.0, "units": "km" }, "result_field": { "ob_id": 4805, "dataPath": "/badc/csip/data/aber-o3lidar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 260430, "numberOfFiles": 4, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 3472, "startTime": "2005-06-06T23:00:00", "endTime": "2005-06-08T22:59:59" }, "resultQuality": { "ob_id": 1221, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4806, "uuid": "36eb2e5f93324effbb2b23638baf2dce", "short_code": "acq", "title": "Acquisition Process for: University of Aberystwyth Ozone Lidar Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Aberystwyth: Ozone DIAL LIDAR; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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Angles are indicated in the line above the colourscale.\r\n\r\nVertical scans have been made at elevation 90 degree.\r\n\r\nThe upper figures are showing polar (radial) velocity, the lower ones aerosol backscatter at the three different angles which are indecated in each figure above the colour scale.\r\n\r\nThe diagrams are showing unaveraged data. They vizualize a snapshot of approx. 10 minutes measurements starting at the time stated in the filename.\r\n\r\nData were recorded from the 19th of June 2005 to the 29th of August 2005.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-22T09:18:07", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Institute of Meteorology and Climate Research (IMK) before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, Lidar, UFAM, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T09:52:15", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 92, "bboxName": "Chilbolton", "eastBoundLongitude": -1.427, "westBoundLongitude": -1.427, "southBoundLatitude": 51.145, "northBoundLatitude": 51.145 }, "verticalExtent": null, "result_field": { "ob_id": 4811, "dataPath": "/badc/csip/data/imk-lidar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 880303964, "numberOfFiles": 3100, "fileFormat": "Images are jpg formatted." }, "timePeriod": { "ob_id": 1385, "startTime": "2005-06-18T23:00:00", "endTime": "2005-08-28T23:00:00" }, "resultQuality": { "ob_id": 1223, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4812, "uuid": "cb350e1282a648a1acebf71ac7e117ce", "short_code": "acq", "title": "Acquisition Process for: Institute of Meteorology and Climate Research (IMK) Lidar Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Institut fuer Meteorologie und Klimaforschung: 2 um Infra-red Lidar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 21899, 21900, 21901, 21897, 21903, 42964, 42967, 21898, 54573 ], "onlineresource_set": [] }, { "ob_id": 4817, "uuid": "21db29857564ee26927077b51ff3932a", "title": "Convective Storm Initiation Project (CSIP): temperature, humidity and wind profiles from the University of Leeds Sodar 1 at the Chilbolton Observatory, Hampshire", "abstract": "The University of Leeds Sodar 1 dataset contains measurements of the scattering of sound waves by atmospheric turbulence at Chilbolton Observatory, Hampshire over the periods from the 6th of July to the 27th of July 2004 and from the 10th of June 2005 to the 19th of August 2005. The dataset contains measurements of wind speed at various heights above the ground, and the thermodynamic structure of the lower layer of the atmosphere.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-11-25T14:24:56", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "Sodar, CSIP, UFAM", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-06T15:53:47", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 812, "bboxName": "Leeds SODAR at Chilbolton", "eastBoundLongitude": -1.4387172, "westBoundLongitude": -1.4387172, "southBoundLatitude": 51.1441841, "northBoundLatitude": 51.1441841 }, "verticalExtent": { "ob_id": 17, "highestLevelBound": 2.0, "lowestLevelBound": 0.0, "units": "km" }, "result_field": { "ob_id": 4818, "dataPath": "/badc/csip/data/leeds-sodar1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 454368936, "numberOfFiles": 859, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1387, "startTime": "2004-07-05T23:00:00", "endTime": "2005-08-18T23:00:00" }, "resultQuality": { "ob_id": 1225, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4819, "uuid": "69ec2e3d22774d84ad39597c413d2d25", "short_code": "acq", "title": "Acquisition Process for: University of Leeds Sodar 1 Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: SODAR; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." }, { "ob_id": 11685, "uuid": "42a2fb43b0a7415aab4aaa9ae00193f0", "short_code": "coll", "title": "Atmospheric Measurement Facility (NCAS-AMF) Data", "abstract": "This dataset collection brings together data from instruments deployed within the UK's National Centre for Atmospheric Sciences's (NCAS) Atmospheric Measurements Facility (AMF). The AMF facilitates easy access to a wide range of quality assured data products and services as well as access to specialist instrumentation for ground based and airborne observation of the atmosphere, observatories, platforms, and laboratories, operated by dedicated facility Instrument Scientists. In addition to campaign deployments covered by this collection AMF also operates a number of long-term instruments which can be found under the NCAS long term observations dataset collection. This collection also brings together data from the AMF instruments when they were operated before being part of AMF. As such some datasets will refer to the instruments' former designations." } ], "responsiblepartyinfo_set": [ 21907, 21909, 21910, 21911, 21913, 41509, 41512, 21908, 50234 ], "onlineresource_set": [] }, { "ob_id": 4823, "uuid": "110256814c81a9c6cdf53cfd842e6c31", "title": "Convective Storm Initiation Project (CSIP): the University of Manchester Radiosonde Data from Swanage, UK", "abstract": "The University of Manchester radiosonde data contain measurements collected by a UFAM (Universities' Facility for Atmospheric Measurement) radiosonde at Swanage, Dorset, from the 19th of June 2005 to the 25th of August 2005. The dataset contains measurements of air temperature, air pressure, wind speed and wind direction, and relative humidity.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:14:21", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, radiosonde", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:54:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 95, "bboxName": "Swanage", "eastBoundLongitude": -1.97, "westBoundLongitude": -1.97, "southBoundLatitude": 50.6083, "northBoundLatitude": 50.6083 }, "verticalExtent": null, "result_field": { "ob_id": 4824, "dataPath": "/badc/csip/data/man-radiosonde", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67213905, "numberOfFiles": 251, "fileFormat": "Data are NASA Ames formatted.\r\n" }, "timePeriod": { "ob_id": 1391, "startTime": "2005-06-18T23:00:00", "endTime": "2005-08-24T23:00:00" }, "resultQuality": { "ob_id": 1227, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4825, "uuid": "f064a3d6b3ff4001bfc4fc7be04fc8c7", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Radiosonde Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Manchester/UFAM: Vaisala Radiosonde; PLATFORMS: Swanage, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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T\r\n\r\nThe dataset contains measurements of the following parameters:\r\n\r\nLiquid Water Path (LWP) time series – 1 second measurement time\r\nIntegrated Water Vapour (IWV) time series – 60 seconds measurement time\r\nHumidity Profile (full troposphere) (HPC) – 60 seconds measurement time\r\nTemperature Profile (full troposphere) (TPC) – 60 seconds measurement time\r\nTemperature Profile (boundary layer) (TPB) – 200 s measurement time\r\nA boundary layer temperature profile was taken every 10 minutes which took 200 seconds to complete. When not operating a boundary layer scan, the radiometer operated in zenith mode and measurements of LWP, IWV and the tropospheric temperature and humidity profiles were made. Calibrations were performed every 20 minutes, 6 hours and 24 hours.\r\n\r\nThe boundary layer temperature measurements (0 – 2000 m) have a vertical resolution of 50 m. The tropospheric temperature measurements (0 – 10000 m) have a vertical resolution of 200 m. The tropospheric humidity profiles (0 – 6000 m) have a vertical resolution of 200 m (0 – 2000 m) and 400 m (2000 – 6000 m).\r\n\r\nTwo jpeg images files have been produced from the radiometer data for each day from 24th June 2005 until 26th August 2005. The first image file contains separate profiles of temperature up to 2 km and 10 km and profiles of absolute and relative humidity up to 10 km. The second image file contains a time series of the integrated water vapour and liquid water path.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-04-18T13:06:15", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM, AMF, temperature, humidity", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T14:01:10", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 811, "bboxName": "FACCOMBE", "eastBoundLongitude": -1.4461619, "westBoundLongitude": -1.4461619, "southBoundLatitude": 51.3313761, "northBoundLatitude": 51.3313761 }, "verticalExtent": { "ob_id": 15, "highestLevelBound": 258.1, "lowestLevelBound": 258.1, "units": "m" }, "result_field": { "ob_id": 4827, "dataPath": "/badc/csip/data/salford-radiometer-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 74616516, "numberOfFiles": 356, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 1392, "startTime": "2005-06-23T23:00:00", "endTime": "2005-08-25T23:00:00" }, "resultQuality": { "ob_id": 1228, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4828, "uuid": "f6b42b57c86d44fdb72cabbebcc6153f", "short_code": "acq", "title": "Acquisition Process for: University of Salford Radiometer Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Salford: Radiometer; PLATFORMS: Faccombe, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "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": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 50235, 21931, 21933, 21934, 21935, 44109, 21937, 21932, 54581 ], "onlineresource_set": [ 7026 ] }, { "ob_id": 4832, "uuid": "62a2c5e2073263a24746e6cf60ce15f5", "title": "Convective Storm Initiation Project (CSIP): European Centre for Medium-Range Weather Forecasts (ECMWF) Forecast Charts", "abstract": "The European Centre for Medium-Range Weather Forecasts (ECMWF) Forecast Charts are images that display type and amount of cloud, and mean seal level pressure with 12 hour accumulated precipitation measurements. The measurements are taken worldwide. The charts in this dataset are from 1st of June 2005 until the 9th of September 2005.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-05T10:04:41", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the ECMWF the CSIP project before processing and the delivery to BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, ECMWF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T10:19:55", "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": 4833, "dataPath": "/badc/csip/data/ecmwf-charts", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 357443440, "numberOfFiles": 3992, "fileFormat": "Data are gif formatted." }, "timePeriod": { "ob_id": 1395, "startTime": "2005-05-31T23:00:00", "endTime": "2005-09-04T23:00:00" }, "resultQuality": { "ob_id": 1230, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3829, "uuid": "90554e086fef455fa829e219379f3f01", "short_code": "comp", "title": "ECMWF - Integrated Forecasting System deployed on ECMWF Computer", "abstract": "This computation involved: ECMWF - Integrated Forecasting System deployed on ECMWF Computer." }, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2609, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ecmwfop", "label": "restricted: ecmwfop group", "licence": { "ob_id": 68, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf_op_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The dataset also contains maps of wind convergence and total rainfall over the UK and northern Europe. 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The goal of COAPEC was to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere, including the influence of ENSO on this coupling.\r\n\r\nTo aid researchers within the COAPEC programme, datasets have been retrieved from a variety of coupled models.\r\n\r\n* 100 years (2079 - 2178) monthly means of all atmospheric and oceanic fields derived from the control run of the Hadley Centre HadCM3 model.\r\n* 1000 years (1849-2849) of monthly means of selected parameters from the HadCM3 control run.\r\n* 50 years (1950-2000) of MOM (GFDL Modular Ocean Model) data.\r\n* Output from the 100 year HadCM3 control integration produced using UM4.5 on the BADC Beowulf Cluster.\r\n* Surface flux climatology data from SOC\r\n\r\nIf using the 100 year dataset from the Hadley Centre, please be aware that the run was restarted part of the way through. 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The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3287 ], "observationcollection_set": [ { "ob_id": 4950, "uuid": "c498e38730dca65ac7a0bc197c3cf7a3", "short_code": "coll", "title": "QUEST GSI (Global Scale Impacts of Climate Change): Climate, run-off and aquatic model simulations", "abstract": "QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.\r\n\r\nThis dataset collection contains model data simulations under various climate, run-off and aquatic scenarios.\r\n\r\nA central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.\r\n\r\nThe project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.\r\n\r\nA second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies." } ], "responsiblepartyinfo_set": [ 22324, 22323, 22326, 22327, 22328, 22329, 72553, 22325, 72554 ], "onlineresource_set": [ 15050 ] }, { "ob_id": 5005, "uuid": "00cc4b46f53408de0b397beaf209ec0b", "title": "Global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) based on the Climatic Research Unit Time Series (CRU TS) 3.10.01 data (1901-2009)", "abstract": "scPDSI consists of global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) which have been calculated for 1901-2009 based on the CRU TS 3.10.01 data sets.\r\n\r\nThe Palmer Drought Severity Index (PDSI) is a measure of soil moisture availability that has been\r\nused extensively to study droughts and wet spells in the contiguous USA and elsewhere, particularly as the primary indicator of the severity and extent of recent droughts. Recently, the PDSI has become more popular as a drought metric in studies quantifying possible trends in future soil moisture availability and it has been used as the basis for reconstructing past variations in drought.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-06-10T00:01:41", "updateFrequency": "notPlanned", "dataLineage": "3.10.01 data files supplied by KNMI in November 2013.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2013-12-17T22:12:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 513, "bboxName": "CRU High Resolution Grid", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 5006, "dataPath": "/badc/cru/data/PDSI/PDSI_CRU_TS_3.10.01_based", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1356252223, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 1442, "startTime": "1901-01-01T00:00:00", "endTime": "2009-12-31T00:00:00" }, "resultQuality": { "ob_id": 1284, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-02-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 12153, "uuid": "677a341f41494279ad0abf8f53a43b04", "short_code": "comp", "title": "KNMI Penman-Monteith parameterization deployed on KNMI computer system based on the CRU TS data sets", "abstract": "For details about the computation of scPDSI, please refer to van der Schrier et al. (2013) - see link below." }, "procedureCompositeProcess": null, "imageDetails": [ 145 ], "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": 12154, "uuid": "6f481c86104844acb5f479feb91bd269", "short_code": "proj", "title": "The Royal Netherlands Meteorological Institute (KNMI) and Climatic Research Unit (CRU) Drought variability Project", "abstract": "In collaboration with the Climatic Research Unit (CRU), the KNMI Drought Variability project generates the self-calibrating Palmer Drought Severity Index (scPDSI) and associated maps. Some of those datasets are stored at CEDA-BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50559, 50561, 55508, 62353 ], "vocabularyKeywords": [], "identifier_set": [ 3318, 8337 ], "observationcollection_set": [ { "ob_id": 5004, "uuid": "0ce9f24ff8719cced7f407694466c2ed", "short_code": "coll", "title": "Global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) based on Climatic Research Unit Time Series (CRU TS) data", "abstract": "PDSI consists of global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI)\r\nwhich have been calculated for selected periods of time based on the CRU TS data sets. The PDSI datasets are produced by KMNI in partnership with the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nThe Palmer Drought Severity Index (PDSI) is a measure of soil moisture availability that has been used extensively to study droughts and wet spells in the contiguous USA and elsewhere, particularly as the primary indicator of the severity and extent of recent droughts. Recently, the PDSI has become more popular as a drought metric in studies quantifying possible trends in future soil moisture availability and it has been used as the basis for reconstructing past variations in drought. " } ], "responsiblepartyinfo_set": [ 22501, 22504, 22505, 41012, 41015, 46238, 22503, 22502, 41013, 46239, 72493 ], "onlineresource_set": [ 2180 ] }, { "ob_id": 5008, "uuid": "4fee3f23f1ace59f839333a6f7280bf5", "title": "SOLAS: University of East Anglia LongPath DOAS at Cape Verde Observatory (2009)", "abstract": "The overall aim of the UK Surface Ocean / Lower Atmosphere Study (UK SOLAS) is to advance understanding of environmentally significant interactions between the atmosphere and ocean, focusing on material exchanges that involve ocean productivity, atmospheric composition and climate. The knowledge obtained will improve the predictability of climate change and give insights into the distribution and fate of persistent pollutants. \r\n\r\nData from observations made at the The Cape Verde Atmospheric Observatory (16.848N, 24.871W) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains LongPath DOAS measurements.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-11-23T16:49:41", "updateFrequency": "asNeeded", "dataLineage": "Data collected at Cape Verde Atmospheric Observatory before being transmitted back to UK where NCAS staff prepare data for archiving at BADC.", "removedDataReason": "", "keywords": "SOLAS, UEA, Cape Verde, DOAS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2009-11-30T12:45:07", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 12, "bboxName": "Cape Verde Atmospheric Observatory Site", "eastBoundLongitude": -24.871, "westBoundLongitude": -24.871, "southBoundLatitude": 16.848, "northBoundLatitude": 16.848 }, "verticalExtent": null, "result_field": { "ob_id": 5009, "dataPath": "/badc/solas/data/capeverde/uea-doas", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 109882, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3735, "startTime": "2009-11-22T00:00:00", "endTime": "2009-11-23T23:59:59" }, "resultQuality": { "ob_id": 1285, "explanation": "research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5012, "uuid": "019fee4b0e29446cb6ce57c02c7e6d9a", "short_code": "acq", "title": "Acquisition Process for: LongPath DOAS , Cape Verde measurements", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: UEA: Differential Optical Absorption Spectrometer; PLATFORMS: Cape Verde Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 71 ], "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": 5010, "uuid": "2bb3eac1e49d6b6ff33ea362ee2b9a94", "short_code": "proj", "title": "UK SOLAS Cape Verde Atmospheric Observatory Measurements", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. 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Measurements began at the site in October 2006." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 4727, 4728, 4729, 4730, 4731, 4732 ], "vocabularyKeywords": [], "identifier_set": [ 3321 ], "observationcollection_set": [ { "ob_id": 5007, "uuid": "dccb03b976696e2dfee42ef259a546a2", "short_code": "coll", "title": "UK SOLAS Cape Verde Observatory Measurement Campaign (2006-2009)", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. Measurements began at the site in October 2006 and are continuing to this day. Note that only observations for the period 2006-2009 were used in the context of the SOLAS project." }, { "ob_id": 872, "uuid": "81693aad69409100b1b9a247b9ae75d5", "short_code": "coll", "title": "Continuous Cape Verde Atmospheric Observatory Observations", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data.\r\n\r\nThe observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.\r\n\r\nThe dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. \r\n\r\nThe Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection." } ], "responsiblepartyinfo_set": [ 22517, 22522, 22524, 22516, 22519, 22520, 22521, 22518, 22523, 75425 ], "onlineresource_set": [] }, { "ob_id": 5071, "uuid": "5c5da0f5148e85f906fd4dbf0b169a86", "title": "SOLAS-Rhamble: Roscoff Experiment University of Leeds Laser Induced Fluorescence", "abstract": "The overall aim of the UK Surface Ocean / Lower Atmosphere Study (UK SOLAS) is to advance understanding of environmentally significant interactions between the atmosphere and ocean, focusing on material exchanges that involve ocean productivity, atmospheric composition and climate. The knowledge obtained will improve the predictability of climate change and give insights into the distribution and fate of persistent pollutants. The dataset contains biological and chemical measurements such as: major nutrients and trace metal concentrations in aerosol and rain samples, chemical analyses of inorganic micro-nutrients, dissolved and particulate trace metal and carbon analyses, dissolved nitrogen and organic phosphate, biological measurements including phytoplankton pigments, bacteria, picoplankton and larger phytoplankton abundance.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-11-01T12:17:15", "updateFrequency": "notPlanned", "dataLineage": "Data supplied by campaign participants.", "removedDataReason": "", "keywords": "Rhamble, Roscoff, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-11-05T11:58:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 776, "bboxName": "Roscoff", "eastBoundLongitude": -3.98709, "westBoundLongitude": -3.98709, "southBoundLatitude": 48.72381, "northBoundLatitude": 48.72381 }, "verticalExtent": null, "result_field": { "ob_id": 5072, "dataPath": "/badc/solas/data/rhamble/roscoff-2006/leeds-fage-io", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 57859, "numberOfFiles": 21, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3737, "startTime": "2006-09-06T23:00:00", "endTime": "2006-09-28T22:59:59" }, "resultQuality": { "ob_id": 1304, "explanation": "research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5075, "uuid": "1295798ad16d4da59177c43e3153bd4e", "short_code": "acq", "title": "Acquisition Process for: Data from Leeds: Laser Induced Fluorescence instrument for Iodine Monoxide at Roscoff, France for the Surface Ocean / Lower Atmosphere Study (UK SOLAS) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: Laser Induced Fluorescence instrument for Iodine Monoxide; PLATFORMS: Roscoff, France; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 71 ], "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": 5099, "uuid": "ba5fe27e2d7667490b1ee630750f9b3b", "short_code": "proj", "title": "UK SOLAS Reactive Halogens in the Marine Boundary Layer (RHaMBLe)", "abstract": "RHaMBLe aims to quantify impacts of marine halogen emissions on atmospheric composition by the direct observation of a range of reactive halogen species (RHS) in the marine atmosphere. Emphasis is placed on the roles of halogens in oxidative processes and on secondary aerosol formation and transformations resulting from the cycling of RHS. \r\n\r\nFieldwork has provided open ocean and coastal measurements. Open ocean work included a research cruise (D319) upwind of Cape Verde (Jan-Jun 2007), and supplementary observations at the SOLAS Cape Verde Observatory. Coastal observations were made during the summer of 2006 at Roscoff in Brittany. Measurements included trace molecules and radicals, aerosol characteristics and distribution.\r\n\r\nNERC Grants: NE/D006570/1; NE/D006589/1; NE/D006562/1; NE/D006554/1; NE/D00652X/1\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52353 ], "vocabularyKeywords": [], "identifier_set": [ 3353 ], "observationcollection_set": [ { "ob_id": 13606, "uuid": "e661035fa87f414ea2615b2b46596acb", "short_code": "coll", "title": "UK SOLAS Reactive halogens in the marine boundary layer (RHaMBLe) campaign at Roscoff, Brittany, France (July-August 2006)", "abstract": "The UK SOLAS Reactive halogens in the marine boundary layer (RHaMBLe) campaign aimed at quantifying marine halogen cycling and investigating its spatial variability. The aim was also to determine the effects of marine halogen cycling on atmospheric oxidative chemistry.\r\n\r\nCoastal observations were made during the summer of 2006 at Roscoff Bay,Brittany, France. \r\n\r\nMeasurements included trace molecules and radicals, aerosol characteristics and distribution.\r\n\r\nThe coastal component of RHaMBle, carried out in Roscoff bay provided direct observational linkage\r\nbetween new particle formation and reactive halogens, resulting in the development of a new\r\nparameterisation for use in large-scale models.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 22698, 22703, 22697, 22700, 22701, 22702, 22705, 22699, 22704, 75379 ], "onlineresource_set": [] }, { "ob_id": 5076, "uuid": "ae74d6219ff0e863713c9c48a389fce7", "title": "SOLAS: Leeds: J(o1d) filter radiometer at Cape Verde Observatory (2007-2009)", "abstract": "The overall aim of the UK Surface Ocean / Lower Atmosphere Study (UK SOLAS) is to advance understanding of environmentally significant interactions between the atmosphere and ocean, focusing on material exchanges that involve ocean productivity, atmospheric composition and climate. The knowledge obtained will improve the predictability of climate change and give insights into the distribution and fate of persistent pollutants. \r\n\r\nData from observations made at the The Cape Verde Atmospheric Observatory (16.848N, 24.871W) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains mixing ratio measurements of JO1D from the University of Leeds.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-09-29T11:16:31", "updateFrequency": "notPlanned", "dataLineage": "Data collected at Cape Verde Atmospheric Observatory before being transmitted back to UK where NCAS staff prepare data for archiving at BADC.", "removedDataReason": "", "keywords": "SOLAS, Leeds, Cape Verde, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-03-27T11:46:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 12, "bboxName": "Cape Verde Atmospheric Observatory Site", "eastBoundLongitude": -24.871, "westBoundLongitude": -24.871, "southBoundLatitude": 16.848, "northBoundLatitude": 16.848 }, "verticalExtent": null, "result_field": { "ob_id": 5077, "dataPath": "/badc/solas/data/capeverde/leeds-fr-jo1d", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 27145362, "numberOfFiles": 6, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1463, "startTime": "2007-01-13T00:00:00", "endTime": "2007-03-07T00:00:00" }, "resultQuality": { "ob_id": 1305, "explanation": "research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5078, "uuid": "5e0de34a700741b1bd0b551d0f78acc2", "short_code": "acq", "title": "Acquisition Process for: Data from Leeds: J(o1d) filter radiometer at Cape Verde Observatory for the Surface Ocean / Lower Atmosphere Study (UK SOLAS) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: J(o1d) filter radiometer; PLATFORMS: Cape Verde Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 71 ], "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": 5010, "uuid": "2bb3eac1e49d6b6ff33ea362ee2b9a94", "short_code": "proj", "title": "UK SOLAS Cape Verde Atmospheric Observatory Measurements", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. 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The project duration was from April 2004 to March 2007. Field experiment in May 2006 was to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface.\r\n\r\nQinetiQ ran a two week field trial in May 2006 at Shoeburyness, Southend-on-Sea, Essex which involved the use of the Universities Facility for Atmospheric Measurement (UFAM) 10.6 μm Doppler lidar system, UFAM microwave radiometer and the 2 m automatic weather station. The field trial was the third trial in a series of validation trials to look at progressively more complicated cases of long range sound propagation.\r\n\r\nThe aim of the project was to investigate the meteorological effects on sound propagation over a land sea interface. The field trial consisted of meteorological and acoustic measurements along the flight path of a helicopter at an altitude, tens of meters above ground level, across the land-sea boundary along the lidar line of sight path. The UFAM Doppler lidar system was used to obtain profiles of the radial velocity to determine turbulence measurements at points along the aircraft flight path. The microwave radiometer was used to provide complimentary temperature profile measurements for input into the models and observe sea-land breeze effects. The automatic weather station was used to gather standard meteorological measurements. The 10.6 μm Doppler lidar and automatic weather station data were archived at the BADC in February 2007 in the appropriate format along with documentation. Unfortunately, there were problems with the microwave radiometer and the data were not valid. The field campaign was funded by the MOD, Applied Research Programme 3G23." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 55190, 55191, 55193, 55194, 55195, 55196, 55197, 55198, 55199, 55200, 55201, 55202, 55203, 79189, 79190 ], "vocabularyKeywords": [], "identifier_set": [ 3481 ], "observationcollection_set": [ { "ob_id": 5341, "uuid": "89918483cf448c555e693cbfaa860889", "short_code": "coll", "title": "Shoeburyness Field Trial: radial velocity and meteorology measurements used for investigating meteorological effects on the sound propagation from a helicopter operating near a land sea interface", "abstract": "The project was a QinetiQ applied research programme 3G23, funded by Ministry of Defence (MOD). The project duration was from April 2004 to March 2007. Field experiment in May 2006 was to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface.\r\n\r\nThis dataset collection contains profiles of the radial velocity at points along the aircraft flight path and standard meteorological measurements from an automatic weather station.\r\n\r\nThe Universities Facility for Atmospheric Measurement (UFAM) Doppler lidar system and automatic weather station were operated by the University of Salford." } ], "responsiblepartyinfo_set": [ 23518, 23520, 23521, 23522, 43891, 23523, 74411, 23519, 74410, 74412, 43890, 74413 ], "onlineresource_set": [ 2346 ] }, { "ob_id": 5346, "uuid": "397efb805727659da17e495eef18cb4d", "title": "Shoeburyness Field Trial: Automatic weather station measurements", "abstract": "The Shoeburyness Field Trial: Investigation of Meteorological Effects on the Sound Propagation from a Helicopter Operating Near a Land Sea Interface Project was a QinetiQ applied research programme 3G23, funded by Ministry of Defence (MOD). The project duration was from April 2004 to March 2007 and had the aim to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface.\r\n\r\nThis dataset collection contains measurements from the automatic weather station, which was used to gather standard meteorological measurements. The Universities Facility for Atmospheric Measurement (UFAM) automatic weather station was operated by the University of Salford.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:05:32", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the UFAM Doppler lidar system and automatic weather station which were operated by the University of Salford. 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The project duration was from April 2004 to March 2007. Field experiment in May 2006 was to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface.\r\n\r\nQinetiQ ran a two week field trial in May 2006 at Shoeburyness, Southend-on-Sea, Essex which involved the use of the Universities Facility for Atmospheric Measurement (UFAM) 10.6 μm Doppler lidar system, UFAM microwave radiometer and the 2 m automatic weather station. The field trial was the third trial in a series of validation trials to look at progressively more complicated cases of long range sound propagation.\r\n\r\nThe aim of the project was to investigate the meteorological effects on sound propagation over a land sea interface. The field trial consisted of meteorological and acoustic measurements along the flight path of a helicopter at an altitude, tens of meters above ground level, across the land-sea boundary along the lidar line of sight path. The UFAM Doppler lidar system was used to obtain profiles of the radial velocity to determine turbulence measurements at points along the aircraft flight path. The microwave radiometer was used to provide complimentary temperature profile measurements for input into the models and observe sea-land breeze effects. The automatic weather station was used to gather standard meteorological measurements. The 10.6 μm Doppler lidar and automatic weather station data were archived at the BADC in February 2007 in the appropriate format along with documentation. Unfortunately, there were problems with the microwave radiometer and the data were not valid. The field campaign was funded by the MOD, Applied Research Programme 3G23." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10762, 57477, 57478, 57479, 57480, 57481, 57482, 57483, 57484, 57485, 57486, 57487, 82380, 82381, 91943, 91944, 91945 ], "vocabularyKeywords": [], "identifier_set": [ 3484 ], "observationcollection_set": [ { "ob_id": 5341, "uuid": "89918483cf448c555e693cbfaa860889", "short_code": "coll", "title": "Shoeburyness Field Trial: radial velocity and meteorology measurements used for investigating meteorological effects on the sound propagation from a helicopter operating near a land sea interface", "abstract": "The project was a QinetiQ applied research programme 3G23, funded by Ministry of Defence (MOD). The project duration was from April 2004 to March 2007. Field experiment in May 2006 was to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface.\r\n\r\nThis dataset collection contains profiles of the radial velocity at points along the aircraft flight path and standard meteorological measurements from an automatic weather station.\r\n\r\nThe Universities Facility for Atmospheric Measurement (UFAM) Doppler lidar system and automatic weather station were operated by the University of Salford." } ], "responsiblepartyinfo_set": [ 23525, 23527, 23528, 23529, 41778, 23530, 74415, 23526, 74414, 74416, 41777, 74417 ], "onlineresource_set": [ 2350 ] }, { "ob_id": 5350, "uuid": "9dbb38143be692c2a1bed7a0fa3d4447", "title": "QUEST Fish: Global Coastal-Ocean Modelling System fish biomass estimates", "abstract": "QUEST Fish was led by Dr Manuel Barange (PML) with 18 co-investigators from POL, PML, CEFAS, University of Plymouth, University of Portsmouth, CSIC (Spain), UEA, WorldFish Centre, IPSL, ICES (Denmark), Met Office, IRD (Paris) and University of North Carolina, as part of QUEST (Quantifying and Understanding the Earth System). QUEST-Fish specifically focused on the added impacts that climate change is likely to cause on global fish production, and on the subsequent additional risks and vulnerabilities to human societies.\r\n\r\nThis dataset contains global fish biomass estimates from the Global Coastal-Ocean Modelling System.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-12-07T15:34:02", "updateFrequency": "", "dataLineage": "Data provided by post on CD from Dr Manuel Barange at the Proudman Oceanographic Laboratory, and stored at the BADC.", "removedDataReason": "", "keywords": "QUEST, Fish, biology, biomass, fisheries, climate change", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-12-07T14:35:11", "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": 5351, "dataPath": "/badc/quest/data/qfish/gcoms", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 365115428, "numberOfFiles": 27, "fileFormat": "Data are CSV formatted. For more information please refer to the README file" }, "timePeriod": { "ob_id": 3886, "startTime": "1864-01-01T00:00:00", "endTime": "2203-12-31T23:59:59" }, "resultQuality": { "ob_id": 1389, "explanation": "Not Known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 5352, "uuid": "99a729e2d1aa44439c442f2665193588", "short_code": "comp", "title": "GCOMS - Global Coastal-Ocean Modelling System deployed on unknown computer", "abstract": "\r\nThis computation involved: GCOMS - Global Coastal-Ocean Modelling System. The GCOMS (Global Coastal-Ocean Modelling System) is a system for simulating all the coastal regions around the world in a systematic and practical fashion. It is based on automatically generating multiple nested model domains, using the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled to the European Regional Seas Ecosystem Model.\r\n\r\nWhile shelf seas only occupy 7 percent of ocean area, shelf and coastal seas are regions of exceptionally high biological productivity, high rates of biogeochemical cycling and immense socio-economic importance. They are, however, poorly represented by the present generation of Earth system models, both in terms of resolution and process representation because of the small scale processes, such as currents, tides and mixing. In order to include a shelf sea area, such as the North Sea, researchers have needed to setup model domains from scratch; often spending months gathering and configuring the data for a new model domain. GCOMS developed an automated system to set up models of continental shelves anywhere on the planet, drawing on global data sets of such things as water depth, weather conditions, and river run off. This shortens the processes to a matter of minutes, allowing to quickly build models of the 60 or so shelf seas around the globe.\r\n\r\nIntroduction\r\n\r\nThe GCOM system provides a flexible framework to set up any number of regional models of the continental shelf over the globe (the figure bellow from Holt J et al. Phil. Trans. R. Soc. A 2009;367:939-951 shows an example), in a one-way nesting, using an independent larger scale OGCM to provide boundary conditions to all the coastal domains. The framework enables multiple regional model configurations to be generated from user-defined domain boundaries. These regional models can then be run either independently or with varying degrees of communication with neighbouring coastal domains. In the simplest mode of operation, domains can be run independently, each taking all lateral boundary conditions from the OGCM. Alternatively, one-way communication between domains allows limited connectivity, e.g. if water from domain X flows predominately northward into domain Y, we can use the solution from X to form the southern boundary conditions for Y. Finally, limited bidirectional interdomain communication can also be implemented.\r\n\r\n\r\nSee linked documentaion for schematic of the model domains.\r\nEach coloured region represents a separate regional model domain that can be simulated independently or exchange boundary conditions with its neighbours. There are 42 regions, with approximately 106 grid points, covering approximately 30% of the oceans. \r\n\r\nA demonstration of concept was done using the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled to the European Regional Seas Ecosystem Model - see linked documentation. \r\n\r\nCitation\r\n\r\nJ.T. Holt, J.D. Harle, R. Proctor, S. Michel, C. Batstone, J.I. Allen, R. Holmes, T. Smyth,\r\nK. Haines, D. Bretherton, and G. Smith. Modelling the global coastal ocean. Philosophical\r\nTransactions of the Royal Society A, 367:93-951, 2009.\r\n\r\n\r\nWho to contact (2010)\r\n\r\nProudman Oceanographic Laboratory (POL), 6 Brownlow Street, Liverpool L3 5DA, United Kingdom\r\nJason Holt, Roger Proctor, Sylvain Michel. Proudman Oceanographic Laboratory, 6 Brownlow Street, Liverpool L3 5DA, United Kingdom. tel: 0(044)151 795 4953, E-mail: smic@pol.ac.uk ." }, "procedureCompositeProcess": null, "imageDetails": [ 77 ], "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": 12006, "uuid": "b14d2becbbf1053f4fd5898a53cef2b4", "short_code": "proj", "title": "QUEST Theme 3- Predicting impacts and consequences of climate change on fisheries (QUEST Fish)", "abstract": "QUEST Fish was led by Dr Manuel Barange (PML) with 18 co-investigators from POL, PML, CEFAS, University of Plymouth, University of Portsmouth, CSIC (Spain), UEA, WorldFish Centre, IPSL, ICES (Denmark), Met Office, IRD (Paris) and University of North Carolina, as part of QUEST (Quantifying and Understanding the Earth System)\r\n\r\nQUEST-Fish has delivered a near-global assessment of consequences of climate change for fisheries, demonstrating excellent and innovative bridging of marine biogeochemistry models and socio-economics. QUEST-Fish specifically focused on the added impacts that climate change is likely to cause on global fish production, and on the subsequent additional risks and vulnerabilities to human societies.\r\n\r\nThe team have demonstrated the broad capability of an integrated regional coastal/shelf seas model system. The physical-ecological POLCOMS-ERSEM model that underpinned the research was developed for Europe’s regional seas. Its application to 20 Large Marine Ecosystems (coastal bioregions) worldwide, covering two-thirds of the world’s fish catch, has been critically evaluated and found adequate for most regions (the physical and biogeochemical differences of the upwelling region off Peru presents challenges, with the climate impact likely to be over-expressed in the fisheries projection output). " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3487 ], "observationcollection_set": [ { "ob_id": 5349, "uuid": "c978c7501016e731997be67bfaae73bc", "short_code": "coll", "title": "QUEST Fish: biomass estimates in four weight categories for exclusive economic zones", "abstract": "QUEST Fish was led by Dr Manuel Barange (PML) with 18 co-investigators from POL, PML, CEFAS, University of Plymouth, University of Portsmouth, CSIC (Spain), UEA, WorldFish Centre, IPSL, ICES (Denmark), Met Office, IRD (Paris) and University of North Carolina, as part of QUEST (Quantifying and Understanding the Earth System)\r\n\r\nThis dataset collection contains global fish biomass estimates from the Global Coastal-Ocean Modelling System.\r\n\r\nQUEST-Fish has delivered a near-global assessment of consequences of climate change for fisheries, demonstrating excellent and innovative bridging of marine biogeochemistry models and socio-economics. QUEST-Fish specifically focused on the added impacts that climate change is likely to cause on global fish production, and on the subsequent additional risks and vulnerabilities to human societies.\r\n\r\nThe team have demonstrated the broad capability of an integrated regional coastal/shelf seas model system. The physical-ecological POLCOMS-ERSEM model that underpinned the research was developed for Europe’s regional seas. Its application to 20 Large Marine Ecosystems (coastal bioregions) worldwide, covering two-thirds of the world’s fish catch, has been critically evaluated and found adequate for most regions (the physical and biogeochemical differences of the upwelling region off Peru presents challenges, with the climate impact likely to be over-expressed in the fisheries projection output)." } ], "responsiblepartyinfo_set": [ 23540, 23541, 23546, 23543, 23544, 23545, 23547, 23542 ], "onlineresource_set": [ 2354, 15249 ] }, { "ob_id": 5354, "uuid": "da4e44cdcdb662991c1f0ba2425c5650", "title": "Flood Risk for Extreme Events (FREE): British Rainfall Digital Archive (1867-1968)", "abstract": "The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002013/1 - Duration January 2007 - December 2008) led by Dr Patrick McSharry, University of Oxford. The dataset contains a collection of rainfall depth maxima data, dating back to 1860, plus associated description documents and rainfall maps of extreme events across the UK, have been used. All of these products have been digitised from the paper version of the British Rainfall publication, and are now archived at the BADC to enable easy access for future use and the wider community.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-05-06T19:35:30", "updateFrequency": "notPlanned", "dataLineage": "Data obtained from a collection of rainfall depth maxima data, dating back to 1860, plus associated description documents and rainfall maps of extreme events across the UK.\r\nData provided as is by Hydro-GIS Ltd in 2010, to the BADC for archiving.", "removedDataReason": "", "keywords": "FREE, Rainfall", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-09-16T19:16:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 105, "bboxName": "", "eastBoundLongitude": 5.0, "westBoundLongitude": -2.0, "southBoundLatitude": 50.0, "northBoundLatitude": 57.0 }, "verticalExtent": null, "result_field": { "ob_id": 5355, "dataPath": "/badc/free/data/NE-E002013-1_density_forecasts", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 64181132, "numberOfFiles": 566, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 1542, "startTime": "1867-01-01T00:00:00", "endTime": "1968-12-30T23:00:00" }, "resultQuality": { "ob_id": 1390, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5357, "uuid": "76c9a718d3af4335a90c9e4fb05b435f", "short_code": "acq", "title": "Acquisition Process for: British Rainfall Digital Archive (1867-1968)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Met Office - Ordinary raingauge; PLATFORMS: Raingauge station network used to produce the British Rainfall archive; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 17 ], "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": 997, "uuid": "ed171402ecb8c39456f28630c9467d77", "short_code": "proj", "title": "Flood Risk for Extreme Events (FREE) NERC Research Programme", "abstract": "Flood Risk from Extreme Events (FREE) is research to predict floods minutes to weeks and seasons to decades ahead.\r\nThe programme uses environmental science to investigate the physical processes involved in generating extreme events, so they can be better forecasted.\r\nThe FREE programme will research what causes and propagates floods, so helping to forecast and quantify flood risk, and inform our society about the likely effects of climate change. The FREE programme started in 2005 and ended in 2010. There have been three rounds of awards, through which 13 projects have been funded." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3492 ], "observationcollection_set": [ { "ob_id": 5353, "uuid": "108ec79af9ede50c5438d1b4574281da", "short_code": "coll", "title": "Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project", "abstract": "The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002013/1 - Duration January 2007 - December 2008) led by Dr Patrick McSharry, University of Oxford. The dataset contains a collection of rainfall depth maxima data, dating back to 1860, plus associated description documents and rainfall maps of extreme events across the UK, have been used. All of these products have been digitised from the paper version of the British Rainfall publication, and are now archived at the BADC to enable easy access for future use and the wider community.\r\n\r\nFloods in the UK are often caused by heavy rainfall lasting from minutes to weeks. Efficient management and mitigation of flood risk, especially surface water flooding in urban areas, requires accurate and reliable precipitation forecasts as inputs to flood risk models. Houses in flat areas are particularly at risk and meeting the shortage of houses in the south-east requires building on these areas. To estimate the flood hazard risk in order to try to protect these buildings, accurate rainfall predictions are needed. However, the connection between record rainfall and flooding is highly nonlinear, so that rainfall predictions must also say how likely rainfall is at any time - calculating the probability of rainfall.\r\n\r\nExtreme rainfalls caused devastating floods in Boscastle in 2004 and Lynmouth in 1952, but the causes and pattern of rainfall was different. Therefore, scientists also need to know what pattern of rainfall caused the flooding.\r\n\r\nThis research aims to get good quality predictions of the probability of rainfall by combining advanced methods from statistics, the output from a new supercomputer model of the weather, and a new computer archive of exteme rainfalls going back to 1866 (and up to 1968), provided by a specialist company Hydro-GIS Ltd. It also aims to produce an automatic system for discovering the most likely pattern in the predicted rainfalls. The new prediction system and data will be freely available over the internet for use by the government and universities." } ], "responsiblepartyinfo_set": [ 23562, 23567, 23561, 23564, 23565, 23566, 23568, 23563 ], "onlineresource_set": [] }, { "ob_id": 5359, "uuid": "02f6ef21247f465fe14b5cb5246c255c", "title": "MarQUEST: Phytoplankton Size Class (Micro, Nano, Pico) for 1998-2007 estimated from SeaWiFS/SeaStar Level 3 products", "abstract": "MarQUEST was led by Prof Andrew Watson (UEA), with 15 co-investigators at UEA/BAS, the Universities of Southampton, Essex, and Reading, and from the Plymouth Marine Laboratory and Proudman Oceanographic Laboratory.\r\n\r\nThis dataset contains climatology and monthly measurements of phytoplankton Size Class from the SeaWiFS/SeaStar products.\r\n\r\nQUEST scientists cooperated in comparing various models, and examining more fundamental (physiological) approaches to understanding the planktonic ecoystem. MarQUEST also developed a module to simulate coastal ecosystems, usable in global ocean biogeochemical simulations. Finally, the project team generated an accurate physical simulation of the North Atlantic guided by data assimilation, into which ecosystem simulations can be embedded. This allows the variation in air-sea fluxes of gases (CO2, oxygen and dimethyl sulphide) from ocean to atmosphere to be quantified for the contemporary period.\r\n\r\nThis data was produced by Takafumi Hirata, Plymouth Marine Laboratory, Plymouth, UK as part of NERC Programmes: Centre for the observation of Air-Sea Interaction and fluXes (CASIX), National Centre for Earth Observation (NCEO) and Quantifying and Understanding the Earth System (QUEST).\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:58:37", "updateFrequency": "notPlanned", "dataLineage": "OCCAM model data provided by Bablu Sinha at NOC. Plankton data from PML.", "removedDataReason": "", "keywords": "QUEST, MarQUEST, CASIX, Marine, ocean, biogeochemistry, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T20:53:24", "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": 5360, "dataPath": "/badc/quest/data/marquest/pml_plankton", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1232027187, "numberOfFiles": 12, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 3889, "startTime": "1998-01-01T00:00:00", "endTime": "2007-12-31T23:59:59" }, "resultQuality": { "ob_id": 1391, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13694, "uuid": "edd20cdb331947628e61807fd20fb3c6", "short_code": "comp", "title": "Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "A three-component model was developed which calculates the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) to the overall chlorophyll-a concentration in the Atlantic Ocean. The model is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. Diagnostic pigments were used to infer cell size using an established technique adapted to account for small picoeukaroytes in ultra-oligotrophic environments. Atlantic Meridional Transect (AMT) pigment data taken between 1997 and 2004 were split into two datasets; 1935 measurements were used to parameterise the model, and a further 241 surface measurements, spatially and temporally matched to chlorophyll-a derived from SeaWiFS satellite data, were set aside to validate the model. Comparison with an independent global pigment dataset (256 measurements) also supports the broader-scale application of the model. The effect of optical depth on the model parameters was also investigated and explicitly incorporated into the model. It is envisaged that future applications would include validating multi-plankton biogeochemical models and improving primary-production estimates by accounting for community composition." }, "procedureCompositeProcess": null, "imageDetails": [ 5 ], "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": 5000, "uuid": "ed2497aaa1a5980657a706d0512604ed", "short_code": "proj", "title": "Centre for observation of Air-Sea Interactions and fluXes (CASIX)", "abstract": "CASIX, the Centre for observation of Air-Sea Interactions and fluXes, was a NERC Centre of Excellence in Earth Observation. CASIX scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle." }, { "ob_id": 11996, "uuid": "752a9a810d1e0987d6f77d25e1da8f40", "short_code": "proj", "title": "QUEST Theme 1- Marine Biogeochemistry and Initiative in QUEST (MarQUEST)", "abstract": "MarQUEST was led by Prof Andrew Watson (UEA), with 15 co-investigators at UEA/BAS, the Universities of Southampton, Essex, and Reading, and from the Plymouth Marine Laboratory and Proudman Oceanographic Laboratory.\r\n\r\nMarQUEST developed new methods of validating ocean biogeochemistry models, making use of remote sensing ocean colour data, in situ data sets and ongoing observations from the major European programmes, CarboOcean and EUR-OCEANS. In the past, ocean biogeochemical models represented biological processes in very simple or rigid ways (e.g., single nutrient limitation, a single generic primary producer), limiting understanding of the role of ecosystems in the climate system. Increasing the complexity of models has presented new challenges for their validation; it is also not clear what the ‘optimal’ complexity of a model should be for any given real-world problem.\r\n\r\nQUEST scientists cooperated in comparing various models, and examining more fundamental (physiological) approaches to understanding the planktonic ecoystem. MarQUEST also developed a module to simulate coastal ecosystems, usable in global ocean biogeochemical simulations. Finally, the project team generated an accurate physical simulation of the North Atlantic guided by data assimilation, into which ecosystem simulations can be embedded. This allows the variation in air-sea fluxes of gases (CO2, oxygen and dimethyl sulphide) from ocean to atmosphere to be quantified for the contemporary period." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 39019, 50542, 50543, 57390, 57391, 57392, 57393, 57394, 57395, 57396 ], "vocabularyKeywords": [], "identifier_set": [ 8973, 3496 ], "observationcollection_set": [ { "ob_id": 5358, "uuid": "2406ec006d9a38b9da6d381fd7c41a15", "short_code": "coll", "title": "MarQUEST (Marine Biogeochemistry and Initiative in QUEST): Ocean optical and plankton model measurements", "abstract": "MarQUEST was led by Prof Andrew Watson (UEA), with 15 co-investigators at UEA/BAS, the Universities of Southampton, Essex, and Reading, and from the Plymouth Marine Laboratory and Proudman Oceanographic Laboratory.\r\n\r\nThis dataset collection contains ocean optical, chemical and plankton model measurements from SeaWiFS/SeaStar Level 3 products.\r\n\r\nMarQUEST developed new methods of validating ocean biogeochemistry models, making use of remote sensing ocean colour data, in situ data sets and ongoing observations from the major European programmes CarboOcean and EUR-OCEANS. In the past, ocean biogeochemical models represented biological processes in very simple or rigid ways (e.g., single nutrient limitation, a single generic primary producer), limiting understanding of the role of ecosystems in the climate system. Increasing the complexity of models has presented new challenges for their validation; it is also not clear what the ‘optimal’ complexity of a model should be for any given real-world problem.\r\n\r\nQUEST scientists cooperated in comparing various models, and examining more fundamental (physiological) approaches to understanding the planktonic ecoystem. MarQUEST also developed a module to simulate coastal ecosystems usable in global ocean biogeochemical simulations. Finally, the project team generated an accurate physical simulation of the North Atlantic guided by data assimilation, into which ecosystem simulations can be embedded. This allows the variation in air-sea fluxes of gases (CO2, oxygen and dimethyl sulphide) from ocean to atmosphere to be quantified for the contemporary period." } ], "responsiblepartyinfo_set": [ 23581, 23586, 23580, 23583, 23584, 23585, 23587, 23582, 74445, 74446 ], "onlineresource_set": [ 9357, 9358, 15401, 15403 ] }, { "ob_id": 5362, "uuid": "7ff63e13cd2865c19a2b918c127c51a3", "title": "Radiosonde data from AASE II Radiosonde stations during the Airborne Arctic Stratospheric Expedition II (AASE II) Project", "abstract": "The Airborne Arctic Stratospheric Expedition II (AASE II) which was based in Bangor, Maine between October 1991 and March 1992, with ER-2 flights from Ames Research Center, Fairbanks (Alaska), and Bangor; and DC-8 flights from Ames, Bangor, Anchorage (Alaska), Stavanger (Norway), and Tahiti, was a follow-up to an earlier AASE campaign in 1989. The dataset consists of measurements collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2O, HNO3, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from six Canadian stations, global grid point values of Nimbus 7 TOMS ozone, and selected radiosonde soundings from stations in the region of the experiment. Theory teams provided calculations of potential vorticity, temperature, geopotential, horizontal winds, parcel back trajectories, and concentrations of short lived species along the aircraft flight tracks; and northern hemispheric analyses of potential vorticity, temperature, geopotential, horizontal winds, and radiative heating rates.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:14:51", "updateFrequency": "notPlanned", "dataLineage": "Data collected onboard the NASA ER-2 and DC-8 aircraft based in Bangor, Maine between October 1991 and March 1992.\r\nCopy of CD-ROM published by NASA contains the final data from the Airborne Arctic Stratospheric Expedition II (AASE II).", "removedDataReason": "", "keywords": "ATMOSPHERICWINDS ATMOSPHERE ATMOSPHERICTEMPERATURE ALTITUDE ATMOSPHERICCHEMISTRY", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-26T01:21:37", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 745, "bboxName": "AASE II Canada", "eastBoundLongitude": -62.338, "westBoundLongitude": -114.0064, "southBoundLatitude": 53.3019, "northBoundLatitude": 82.5014 }, "verticalExtent": null, "result_field": { "ob_id": 5363, "dataPath": "/badc/CDs/aase9192/data/raob/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 37184522, "numberOfFiles": 171, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n<p>The data are held on CD-ROM at the BADC and are <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/CDs/aase9192/\">available for browsing\r\npurposes</a>.If you want to use the data in earnest you should order a \r\ncopy of the CD from one of the contact addresses listed below. \r\n</p><p>\r\nAll files within this release are standard \r\n<a href=\"http://badc.nerc.ac.uk/help/formats/ms-dos/ms-dos.html\">MS-DOS ASCII</a> files with variable length\r\nrecords. \r\nIn general, the file naming convention uses a two-character prefix to \r\nidentify the measurement, followed by a six digit number (yymmdd) giving \r\nthe year, month, and day (UT) of the flight, balloon launch, or model\r\nresult. To identify the measurement platform, a three character extension\r\nof EA1, DA1, Bhh, or Ghh is used to denote the data is from the ER-2,\r\nDC-8, balloon, or grid point model output (hh denotes the UT hour of\r\nballoon launch or model result). Exceptions to this convention are the\r\nSFyymmdd.Enn files which use the extensions E00, E01, E05, E30 to denote\r\naerosol loading factors; the TOMS data files which have the extensions \r\nN7; and the chemical modelling result MA911006.H00.\r\n</p></div>\r\n" }, "timePeriod": { "ob_id": 1544, "startTime": "1991-10-01T23:00:00", "endTime": "1992-03-28T00:00:00" }, "resultQuality": { "ob_id": 1392, "explanation": "NASA quality controlled data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5366, "uuid": "54afc802bdeb4a06aa4151bb08bc1c51", "short_code": "acq", "title": "Acquisition Process for: Data from Radiosonde at AASEII Radiosonde stations for the Airborne Arctic Stratospheric Expedition II (AASE II) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Radiosonde; PLATFORMS: AASEII Radiosonde stations; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 5364, "uuid": "4c436b2b1361732f01ca6b2f795b6ae3", "short_code": "proj", "title": "Airborne Arctic Stratospheric Expedition II (AASE II)", "abstract": "A NASA aircraft expedition from October 1991 to March 1992 was staged over a period of eight months from Moffett Field, California; Fairbanks, Alaska; Anchorage, Alaska; Stavanger, Norway; and Bangor, Maine. The mission used two aircraft to study the lower stratosphere: a high altitude ER-2 aircraft for in situ observations and a long range DC-8 for remote sensing observations." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 21771, 21817, 21823, 21824, 22321, 22341, 22390, 22426, 22445, 22589, 22590, 25382, 25383, 25386, 25388, 25391, 25394, 25396, 25400, 25857, 25859 ], "vocabularyKeywords": [], "identifier_set": [ 3499 ], "observationcollection_set": [ { "ob_id": 5361, "uuid": "1793a892e540cdca61e72fdae4ae4573", "short_code": "coll", "title": "Airborne Arctic Stratospheric Expedition II (AASE II): airborne, satellite and model atmospheric chemistry data", "abstract": "The Airborne Arctic Stratospheric Expedition II (AASE II) which was based in Bangor, Maine between October 1991 and March 1992, with ER-2 flights from Ames Research Center, Fairbanks (Alaska), and Bangor; and DC-8 flights from Ames, Bangor, Anchorage (Alaska), Stavanger (Norway), and Tahiti, was a follow-up to an earlier AASE campaign in 1989. The dataset consists of measurements collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2O, HNO3, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from six Canadian stations, global grid point values of Nimbus 7 TOMS ozone, and selected radiosonde soundings from stations in the region of the experiment. Theory teams provided calculations of potential vorticity, temperature, geopotential, horizontal winds, parcel back trajectories, and concentrations of short lived species along the aircraft flight tracks; and northern hemispheric analyses of potential vorticity, temperature, geopotential, horizontal winds, and radiative heating rates." } ], "responsiblepartyinfo_set": [ 23597, 23602, 23600, 23601, 23603, 23596, 23599, 23598 ], "onlineresource_set": [] }, { "ob_id": 5367, "uuid": "156b3c2b7f9d964b6f87eaeb38a7b6aa", "title": "Airborne in-situ data from mounted instruments on board the NASA DC-8 aircraft for the Airborne Arctic Stratospheric Expedition II (AASE II) Project", "abstract": "The Airborne Arctic Stratospheric Expedition II (AASE II) which was based in Bangor, Maine between October 1991 and March 1992, with ER-2 flights from Ames Research Center, Fairbanks (Alaska), and Bangor; and DC-8 flights from Ames, Bangor, Anchorage (Alaska), Stavanger (Norway), and Tahiti, was a follow-up to an earlier AASE campaign in 1989. The dataset consists of measurements collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2O, HNO3, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from six Canadian stations, global grid point values of Nimbus 7 TOMS ozone, and selected radiosonde soundings from stations in the region of the experiment. Theory teams provided calculations of potential vorticity, temperature, geopotential, horizontal winds, parcel back trajectories, and concentrations of short lived species along the aircraft flight tracks; and northern hemispheric analyses of potential vorticity, temperature, geopotential, horizontal winds, and radiative heating rates.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:04:05", "updateFrequency": "notPlanned", "dataLineage": "Data collected onboard the NASA ER-2 and DC-8 aircraft based in Bangor, Maine between October 1991 and March 1992.\r\nCopy of CD-ROM published by NASA contains the final data from the Airborne Arctic Stratospheric Expedition II (AASE II).", "removedDataReason": "", "keywords": "ATMOSPHERICWINDS ATMOSPHERE ATMOSPHERICTEMPERATURE ALTITUDE ATMOSPHERICCHEMISTRY", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-26T01:22:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 745, "bboxName": "AASE II Canada", "eastBoundLongitude": -62.338, "westBoundLongitude": -114.0064, "southBoundLatitude": 53.3019, "northBoundLatitude": 82.5014 }, "verticalExtent": null, "result_field": { "ob_id": 5368, "dataPath": "/badc/CDs/aase9192/data/dc8/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 139431082, "numberOfFiles": 386, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n<p>The data are held on CD-ROM at the BADC and are <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/CDs/aase9192/\">available for browsing\r\npurposes</a>.If you want to use the data in earnest you should order a \r\ncopy of the CD from one of the contact addresses listed below. \r\n</p><p>\r\nAll files within this release are standard \r\n<a href=\"http://badc.nerc.ac.uk/help/formats/ms-dos/ms-dos.html\">MS-DOS ASCII</a> files with variable length\r\nrecords. \r\nIn general, the file naming convention uses a two-character prefix to \r\nidentify the measurement, followed by a six digit number (yymmdd) giving \r\nthe year, month, and day (UT) of the flight, balloon launch, or model\r\nresult. To identify the measurement platform, a three character extension\r\nof EA1, DA1, Bhh, or Ghh is used to denote the data is from the ER-2,\r\nDC-8, balloon, or grid point model output (hh denotes the UT hour of\r\nballoon launch or model result). Exceptions to this convention are the\r\nSFyymmdd.Enn files which use the extensions E00, E01, E05, E30 to denote\r\naerosol loading factors; the TOMS data files which have the extensions \r\nN7; and the chemical modelling result MA911006.H00.\r\n</p></div>\r\n" }, "timePeriod": { "ob_id": 1545, "startTime": "1992-01-08T00:00:00", "endTime": "1992-03-20T00:00:00" }, "resultQuality": { "ob_id": 1393, "explanation": "NASA quality controlled data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5372, "uuid": "36b67fb3b8cd4290bef63e375f8337bc", "short_code": "acq", "title": "Acquisition Process for: Data from Unknown aircraft mounted in-situ instruments. at NASA DC-8 aircraft for the Airborne Arctic Stratospheric Expedition II (AASE II) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Unknown aircraft mounted in-situ instruments.; PLATFORMS: NASA DC-8 aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 5364, "uuid": "4c436b2b1361732f01ca6b2f795b6ae3", "short_code": "proj", "title": "Airborne Arctic Stratospheric Expedition II (AASE II)", "abstract": "A NASA aircraft expedition from October 1991 to March 1992 was staged over a period of eight months from Moffett Field, California; Fairbanks, Alaska; Anchorage, Alaska; Stavanger, Norway; and Bangor, Maine. The mission used two aircraft to study the lower stratosphere: a high altitude ER-2 aircraft for in situ observations and a long range DC-8 for remote sensing observations." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 21771, 21817, 21823, 21824, 22321, 22341, 22390, 22426, 22445, 22589, 22590, 25382, 25383, 25386, 25388, 25391, 25394, 25396, 25400, 25857, 25859 ], "vocabularyKeywords": [], "identifier_set": [ 3505 ], "observationcollection_set": [ { "ob_id": 5361, "uuid": "1793a892e540cdca61e72fdae4ae4573", "short_code": "coll", "title": "Airborne Arctic Stratospheric Expedition II (AASE II): airborne, satellite and model atmospheric chemistry data", "abstract": "The Airborne Arctic Stratospheric Expedition II (AASE II) which was based in Bangor, Maine between October 1991 and March 1992, with ER-2 flights from Ames Research Center, Fairbanks (Alaska), and Bangor; and DC-8 flights from Ames, Bangor, Anchorage (Alaska), Stavanger (Norway), and Tahiti, was a follow-up to an earlier AASE campaign in 1989. The dataset consists of measurements collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2O, HNO3, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from six Canadian stations, global grid point values of Nimbus 7 TOMS ozone, and selected radiosonde soundings from stations in the region of the experiment. Theory teams provided calculations of potential vorticity, temperature, geopotential, horizontal winds, parcel back trajectories, and concentrations of short lived species along the aircraft flight tracks; and northern hemispheric analyses of potential vorticity, temperature, geopotential, horizontal winds, and radiative heating rates." } ], "responsiblepartyinfo_set": [ 23608, 23613, 23607, 23610, 23611, 23612, 23614, 23609 ], "onlineresource_set": [] }, { "ob_id": 5373, "uuid": "c0dcdf5728f9d240b22e96d188dbd8b7", "title": "Airborne in-situ data from mounted instruments on board the NASA ER-2 aircraft for the Airborne Arctic Stratospheric Expedition II (AASE II) Project", "abstract": "The Airborne Arctic Stratospheric Expedition II (AASE II) which was based in Bangor, Maine between October 1991 and March 1992, with ER-2 flights from Ames Research Center, Fairbanks (Alaska), and Bangor; and DC-8 flights from Ames, Bangor, Anchorage (Alaska), Stavanger (Norway), and Tahiti, was a follow-up to an earlier AASE campaign in 1989. The dataset consists of measurements collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2O, HNO3, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from six Canadian stations, global grid point values of Nimbus 7 TOMS ozone, and selected radiosonde soundings from stations in the region of the experiment. 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The mid-Holocene and LGM climate reconstructions have been completed, with input from the PMIP Quantitative Reconstruction working group. Robust patterns evident in the data sets are being used as benchmarks and targets for the IPCC AR5 palaeoclimate simulations. The team has also produced the first coupled model (AOGCM) perturbed physics ensemble simulations of the MH and LGM. 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This means that there is a difference in the indicated date of origin in the data files, and can cause a discontinuity if not corrected for during analysis.\r\n\r\nThe 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive. \r\n\r\nThe data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM version 4.5 at the BADC has been included in the archive. Please see the README.txt for more information." } ], "responsiblepartyinfo_set": [ 23825, 23830, 23832, 23824, 23827, 23828, 23829, 23826, 23831, 72401 ], "onlineresource_set": [ 8334 ] }, { "ob_id": 5448, "uuid": "2a6a8b859b4dd7c866d773da521e547d", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) Freshwater monthly data", "abstract": "The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. 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This dataset contains freshwater flux climatology data from the Southampton Oceanographic Centre (SOC).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-02-09T12:38:38", "updateFrequency": "notPlanned", "dataLineage": "To aid researchers within the Coupled Ocean Atmosphere and European Climate (COAPEC) programme, datasets have been retrieved from a variety of coupled models including: The 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive at the BADC; The data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM (Unified Model) version 4.5 at the BADC has recently been included in the archive.", "removedDataReason": "", "keywords": "COAPEC, SOC, Fresh Water", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-12-12T15:30:44", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 5449, "dataPath": "/badc/coapec/data/soc_flux/freshwater_flux_monthly", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 92621913, "numberOfFiles": 169, "fileFormat": "Data are ASCII and netCDF formatted\r\n" }, "timePeriod": { "ob_id": 1575, "startTime": "1980-01-01T00:00:00", "endTime": "1993-01-01T00:00:00" }, "resultQuality": { "ob_id": 1415, "explanation": "not known", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 5451, "uuid": "adb18d57a25c49279009b2205c847925", "short_code": "cmppr", "title": "Composite Process for: Data from SOC at Southampton Oeanographic Centre (SOC) for the Coupled Ocean Atmosphere and European Climate (COAPEC) NERC Research Programme Project", "abstract": "This process is comprised of multiple procedures: 1. Computation: SOC deployed on Southampton Oeanographic Centre (SOC); \n" }, "imageDetails": [ 80 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2566, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "coapec", "label": "restricted: coapec group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 5441, "uuid": "e22b91c35015d34116078ccc25b5026e", "short_code": "proj", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC) NERC Research Programme", "abstract": "COAPEC is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The BADC is the primary distribution data centre for COAPEC. Data sets available under COAPEC include 100 year (2079 - 2178) full fields and 1000 year (1849-2849) limited fields of the Hadley Centre HadCM3 model." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 13197, 20939, 21824, 21919, 21955, 21962, 22320, 22321, 22346, 22390, 22857, 22858, 22859, 22860, 22861, 22862, 22864, 22865, 22866, 22868, 22869, 22870, 22874, 22875, 22876, 25382, 25388, 25392, 25393, 25857, 25859, 25874, 25900, 25905, 25912, 25951, 25952, 25953, 25954, 25955 ], "vocabularyKeywords": [], "identifier_set": [ 3556 ], "observationcollection_set": [ { "ob_id": 5438, "uuid": "fce964f2c07f107e3db5fb0a5c09c9b8", "short_code": "coll", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC): Monthly Means of Atmospheric and Oceanic Model Data", "abstract": "The COAPEC (Coupled Ocean-Atmosphere Processes and European Climate) programme was a 5 year NERC thematic programme designed to examine the variability of the Earth's climate. Interactions between the oceans and the atmosphere play a major role in governing this variability. The goal of COAPEC was to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere, including the influence of ENSO on this coupling.\r\n\r\nTo aid researchers within the COAPEC programme, datasets have been retrieved from a variety of coupled models.\r\n\r\n* 100 years (2079 - 2178) monthly means of all atmospheric and oceanic fields derived from the control run of the Hadley Centre HadCM3 model.\r\n* 1000 years (1849-2849) of monthly means of selected parameters from the HadCM3 control run.\r\n* 50 years (1950-2000) of MOM (GFDL Modular Ocean Model) data.\r\n* Output from the 100 year HadCM3 control integration produced using UM4.5 on the BADC Beowulf Cluster.\r\n* Surface flux climatology data from SOC\r\n\r\nIf using the 100 year dataset from the Hadley Centre, please be aware that the run was restarted part of the way through. This means that there is a difference in the indicated date of origin in the data files, and can cause a discontinuity if not corrected for during analysis.\r\n\r\nThe 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive. \r\n\r\nThe data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM version 4.5 at the BADC has been included in the archive. Please see the README.txt for more information." } ], "responsiblepartyinfo_set": [ 23846, 23851, 23853, 23849, 23850, 23845, 23848, 23847, 23852, 72402 ], "onlineresource_set": [] }, { "ob_id": 5456, "uuid": "935c64a1c57bba456e036f7f5767c339", "title": "NOC 1.1: National Oceanography Centre Surface Flux Climatology (version 1.1)", "abstract": "This dataset contains climatological monthly mean files of air-sea fluxes on a global grid in netCDF format produced at the National Oceanography Centre (NOC). It includes freshwater flux, heat flux and windstress and selected meteorological variables.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nHeat flux and windstress:\r\nlatent heat flux (hfls), net heat flux (hfns), sensible heat flux (hfss), precipitation (pr), net longwave flux (rls), net shortwave flux (rss), wind stress (eastward) (tauu), wind stress (northward) (tauv).\r\nUnits are W/m2 for the heat flux and N/m2 for the stress.\r\n\r\nAlso available are freshwater fields:\r\n evaporation (emy), precipitation (pmy), net evaporation (epmy)\r\n\r\nUnits are m/yr in each case (divide by 12 to get m/month).\r\n\r\nMeteorology fields are:\r\nu10 - 10m wind speed, units m/s\r\nt10 - 10m air temperature, units deg C\r\nq10 - 10m specific humidity, units g/kg\r\nsst - sea surface temperature, units deg C\r\nana - total cloud amount, units octas\r\nslp - sea level pressure, units mb\r\n\r\nThe flux fields have been derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n\r\nIn addition, note that the current version of the fields does not give closure of the global heat budget, the imbalance being a global mean net heat gain by the ocean of 29 W/m2. Work was carried out to identify regions in which NOC scientists believe the net heat gain has been overestimated.\r\n\r\nResults from several regional comparisons against high quality meteorological buoy data indicate that in those regions for which comparisons have been possible the NOC net heat flux estimates agree well with independent buoy measurements. Hence, NOC have not applied global adjustments to the heat flux\r\ncomponents in order to balance the heat budget at this stage of their analysis. See NOC1.1a for adjusted heat fluxes.\r\n\r\nFunding has been received from the Hadley Centre, UK Meteorological Office for the production and analysis of this dataset.\r\n\r\nPlease note that NOC1.1 - Previously the 'Original' SOC climatology (climatological and individual monthly fields)\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-08T12:32:47", "updateFrequency": "notPlanned", "dataLineage": "Data is provided by NOCS (National Oceanography Centre, Southampton) to the BADC for archiving.", "removedDataReason": "", "keywords": "SOC, NOCS, NOC1.1, NOC, ocean, freshwater, winstress, heat flux, air-sea interaction", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1 x 1 degree grid", "status": "completed", "dataPublishedTime": "2014-09-22T03:48:19", "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": 5457, "dataPath": "/badc/nocs_flux/data/noc1.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22772048, "numberOfFiles": 23, "fileFormat": "File format is COARDS compliant netCDF. Files are compressed (.Z).\r\n" }, "timePeriod": { "ob_id": 3584, "startTime": "1973-01-01T00:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 1417, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 156 ], "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": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21769, 21888, 21892, 21900, 21911, 23052, 25388, 25884, 25891, 25900, 25912, 25946, 25956, 25957 ], "vocabularyKeywords": [], "identifier_set": [ 3563, 8549 ], "observationcollection_set": [ { "ob_id": 5455, "uuid": "23443335e20d25df00ab67880b10c31c", "short_code": "coll", "title": "NOCS (National Oceanography Centre, Southampton) Flux Datasets: marine surface meteorology, freshwater and heat fluxes.", "abstract": "The National Oceanography Centre Southampton (NOCS) produced a collection of Surface Flux Datasets which contains estimates of the following parameters (including uncertainty) on a 1° monthly mean grid for the global ice-free ocean:\r\n\r\n- Air temperature (at 10 m)\r\n- Specific Humidity (at 10 m)\r\n- Wind Speed (at 10 m)\r\n- Sea level pressure\r\n- Sea surface temperature (bulk)\r\n\r\n- Latent heat flux\r\n- Sensible heat flux\r\n- Net longwave radiation\r\n- Net shortwave radiation\r\n\r\nThe datasets are:\r\n\r\nNOC1.1 - National Oceanography Centre Surface Flux Climatology (version 1.1) - 1973-2005\r\nNOC1.1a - Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a) -1973-2005\r\nNOC2.0 - National Oceanography Centre Surface Flux Climatology (version 2.0) - 1973-\r\n\r\nNote that the NOC1 climatology was previously referred to as the Southampton Oceanography Centre (SOC) flux climatology and was renamed when the SOC became the NOC. The SOC climatology existed in two versions: the 'Original' set of fields and an 'Adjusted' set in which closure of the ocean heat budget was achieved using inverse analysis. These have now become:\r\n\r\nNOC1.1 - Previously the 'Original' SOC climatology including Heat flux and wind stress fields, Freshwater flux fields and Meteorological fields\r\n\r\nNOC1.1a - Previously the 'Adjusted' SOC climatology (climatological monthly fields) including Heat flux fields only.\r\n\r\nThese data can be used for many purposes, including assessing the performance of numerical models, assessing the measurements we get from satellites and understanding how the ocean and atmosphere interact in recent decades.\r\n\r\nFor background information on Heat Fluxes, please see links under Docs.\r\n\r\nFunding has been received from the Hadley Centre, UK Meteorological Office for the production and analysis of this collection of data." } ], "responsiblepartyinfo_set": [ 50453, 23881, 23876, 23875, 23878, 23879, 23880, 23877, 50466, 50452, 55464, 50465, 169573 ], "onlineresource_set": [ 7105, 7106, 7107 ] }, { "ob_id": 5463, "uuid": "aa37ce9fde56e681c8affbf33dc67218", "title": "AASE: NIMBUS-7 Total Ozone Mapping Spectrometer (TOMS) measuerments taken on board the NIMBUS 7 Satellite", "abstract": "The Airborne Arctic Stratospheric Expedition (AASE) which was based in Stavanger, Norway during January and February, 1989, was designed to study the production and loss mechanisms of ozone in the north polar stratospheric environment, and the effect on ozone distribution of the Arctic polar vortex and of the cold temperatures associated with the formation of Polar Stratospheric Clouds (PSC). \r\n\r\nThis dataset contains ozone measurements taken on board the NIMBUS 7 Satellite.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-07-24T11:52:54", "updateFrequency": "notPlanned", "dataLineage": "Data were collected during January and February, 1988-1989 onboard NIMBUS 7 Satellite.\r\nCopy of CR-ROM published by NASA. The data are held on CD-ROM at the BADC.", "removedDataReason": "", "keywords": "AASE, AASE-98, chemistry, TOMS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-16T16:17:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 109, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 37.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 5464, "dataPath": "/badc/CDs/aase89/data/toms/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19300981, "numberOfFiles": 91, "fileFormat": "Data are ASCII formatted\r\n" }, "timePeriod": { "ob_id": 1577, "startTime": "1988-12-01T00:00:00", "endTime": "1989-02-28T00:00:00" }, "resultQuality": { "ob_id": 1420, "explanation": "NASA data quality controlled data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5466, "uuid": "fc5797d814b54d758493dfada2f769b6", "short_code": "acq", "title": "Acquisition Process for: Data from NIMBUS-7 Total Ozone Mapping Spectrometer (TOMS) at NIMBUS 7 Satellite for the Airborne Arctic Stratospheric Expedition (AASE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: NIMBUS-7 Total Ozone Mapping Spectrometer (TOMS); PLATFORMS: NIMBUS 7 Satellite; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 81 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 5465, "uuid": "a545ae51081160501bd467fcf64ac54b", "short_code": "proj", "title": "Airborne Arctic Stratospheric Expedition (AASE)", "abstract": "A NASA aircraft expedition based in Stavanger, Norway during January and February 1989. The data consist of various chemical composition and meteorological measurements collected on board the NASA ER-2 and DC-8 aircraft, ozonesonde soundings from 3 stations (Angmagssalik and Scoresbysund, Greenland and Lerwick, UK), aerosol and temperature profiles from the SAM II satellite, global gridded NIMBUS 7 TOMS ozone column and selected radiosonde soundings from stations in the region of the experiment. This dataset is public." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 21758, 21771, 21779, 21787, 21817, 21823, 21824, 22321, 22341, 22390, 22414, 22418, 22422, 22426, 22428, 22432, 22441, 22442, 22445, 22589, 22590, 22888, 22892, 23070, 25382, 25383, 25385, 25387, 25388, 25391, 25394, 25396, 25397, 25398, 25400, 25402, 25850, 25856, 25857, 25859, 25890, 25949, 25950 ], "vocabularyKeywords": [], "identifier_set": [ 3568 ], "observationcollection_set": [ { "ob_id": 5462, "uuid": "19a2a820690fbc271fef38957dc3ca83", "short_code": "coll", "title": "Airborne Arctic Stratospheric Expedition (AASE) 89: Chemical and Dynamical Atmospheric Measurements", "abstract": "The Airborne Arctic Stratospheric Expedition (AASE) which was based in Stavanger, Norway during January and February, 1989, was designed to study the production and loss mechanisms of ozone in the north polar stratospheric environment, and the effect on ozone distribution of the Arctic polar vortex and of the cold temperatures associated with the formation of Polar Stratospheric Clouds (PSC). \r\n\r\nThe dataset collection consists of measurements of chemical and dynamical parameters collected onboard the NASA ER-2 and DC-8 aircraft (for example, ClO, BrO, HCl, O3, NOx, N2, HNO3 and CH4, whole air samples and aerosol measurements). In addition, there are ozonesonde soundings from three stations (Angmagssalik and Scoresbysund, Greenland, and Lerwick, U.K.), aerosol and temperature profiles from NASA's SAM II satellite, and selected radiosonde soundings from stations in the region of the experiment.\r\n\r\nTheory teams provided calculations of: potential vorticity along the ER-2 flight path; cross-sections of potential vorticity, temperature, and geopotential heights along the DC-8 flight path; cross-sections of Clx, Fx, HCl, HNO3, and NOy along the DC-8 flight path; global grid point values of temperature, geopotential heights, and horizontal winds on selected pressure surfaces; northern hemispheric grid point values of potential vorticity and pressure on selected potential temperature surfaces." } ], "responsiblepartyinfo_set": [ 23905, 23910, 23904, 23907, 23908, 23909, 23911, 23906, 72558 ], "onlineresource_set": [] }, { "ob_id": 5468, "uuid": "9713d7c2eef749e96ce4345afba108b4", "title": "AASE: Stratospheric Aerosol Measurements II (SAM II) on board the NIMBUS 7 Satellite", "abstract": "The Airborne Arctic Stratospheric Expedition (AASE) which was based in Stavanger, Norway during January and February, 1989, was designed to study the production and loss mechanisms of ozone in the north polar stratospheric environment, and the effect on ozone distribution of the Arctic polar vortex and of the cold temperatures associated with the formation of Polar Stratospheric Clouds (PSC). \r\n\r\nThis dataset contains aerosol measurements on board the NIMBUS 7 Satellite", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-07-24T11:52:24", "updateFrequency": "notPlanned", "dataLineage": "Data were collected during January and February, 1988-1989 onboard the NIMBUS 7 Satellite.\r\nCopy of CR-ROM published by NASA. The data are held on CD-ROM at the BADC.", "removedDataReason": "", "keywords": "AASE, AASE-98, chemistry, SAM II", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-16T16:19:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 109, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 37.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 5469, "dataPath": "/badc/CDs/aase89/data/sam2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1107836, "numberOfFiles": 3, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 1578, "startTime": "1989-01-01T00:00:00", "endTime": "1989-02-18T00:00:00" }, "resultQuality": { "ob_id": 1421, "explanation": "NASA data quality controlled data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 5471, "uuid": "585496c141234a1aa5a622ba3eb3d974", "short_code": "acq", "title": "Acquisition Process for: Data from Stratospheric Aerosol Measurement II (SAM II) at NIMBUS 7 Satellite for the Airborne Arctic Stratospheric Expedition (AASE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Stratospheric Aerosol Measurement II (SAM II); PLATFORMS: NIMBUS 7 Satellite; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 81 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 5465, "uuid": "a545ae51081160501bd467fcf64ac54b", "short_code": "proj", "title": "Airborne Arctic Stratospheric Expedition (AASE)", "abstract": "A NASA aircraft expedition based in Stavanger, Norway during January and February 1989. 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The higher resolution provides the closest link between field data and the greater perspective afforded by a satellite view.\r\n\r\nProducts include daily sea-ice motion vector fields and twice-daily composited images of albedo, skin surface temperature, and the calibrated and geolocated AVHRR channel data used to generate them. Products are mapped to the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid, Armstrong and Brodzik 1995). Spatial coverage includes both hemispheres, extending poleward of 50 degrees N and 53 degrees S latitudes. Temporal coverage begins September 1993 and extends through the present (1998). Plans are to continue acquisition and processing for 18 months after the Moderate Resolution Imaging Spectrometer (MODIS) becomes operational.\r\n\r\nFor this AVHRR Pathfinder demonstration, three regions have been selected from 1997 Northern Hemisphere composites to correspond to areas of active field programs and ongoing research. These areas, the Surface Heat Budget of the Arctic Ocean (SHEBA) study region in the Beaufort Sea, the ETH/CU Camp in western Greenland, and Point Barrow, Alaska, cover the main polar surface types: sea ice cover, permanent ice sheets, and polar lands. Time-series visualizations are provided rather than a sample of the data product, to conserve space on the CD-ROM.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-12-17T12:24:33", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM data produced by the National Snow and Ice Data Centre and published in 2000. 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Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Polar Orbiting environmental satellites (POES); \n" }, "imageDetails": [ 84 ], "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": 5682, "uuid": "d0b3bd573a11ca2feb7c7316a3979a40", "short_code": "proj", "title": "The Polar Pathfinder Sampler (PPSM): Combined AVHRR, SMMR-SSM/I and TOVS Time Series", "abstract": "The AVHRR, SMMR-SSM/I and TOVS Polar Pathfinder research teams collaborated to make it as easy as possible to use Polar Pathfinder data sets together by employing a common projection, namely the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), and validation methods to develop consistently processed data sets that are easy to combine, compare and contrast. This CD-ROM includes sample data, time-series visualizations, and browse products, for temporal and spatial subsets of the AVHRR, SMMR-SSM/I and TOVS data sets, to illustrate the types of products available for the various data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22860, 22865, 22874, 23196, 23198, 23199, 23200, 23201, 23202, 23204, 23211, 25388, 25843, 25846, 25857, 25860, 25872, 25875, 25885, 25905, 25908, 25920, 25939, 25944, 25958, 25959, 25960, 25961, 25962, 25963 ], "vocabularyKeywords": [], "identifier_set": [ 3732, 8616 ], "observationcollection_set": [ { "ob_id": 5679, "uuid": "a6ca5bc1b36d1b1a83cba4e4ac4b0bac", "short_code": "coll", "title": "Polar Pathfinder Sampler (PPSM): Combined Time Series of Atmospheric and Surface Measurements from the AVHRR, SMMR-SSM/I and TOVS Satellites", "abstract": "To address the needs of the cryospheric science community, the SMMR-SSM/I, AVHRR and TOVS research teams collaborated to make it as easy as possible for the Polar Pathfinders and related data sets to be used together. The teams employed a common projection, the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), file naming conventions and validation methods to develop consistently processed data sets that are easy to combine and contrast.\r\n\r\nThe Polar Pathfinder Sampler CD-ROM is an innovative assemblage of atmospheric and surface measurements from all three Pathfinders. Included is a two-year period of daily merged Pathfinder data sets at 100 km-resolution, placed in a multidimensional structure known as the \"P-Cube.\" In addition, samples of full-resolution Special Sensor Microwave Imager(SSM/I), TIROS Operational Vertical Sounder (TOVS) and Advanced Very High Resolution Radiometer (AVHRR) (both the 1.25 km and 5 km products) Polar Pathfinder data sets are included, also in Equal-Area Scalable Earth-Grid (EASE-Grid), making it easy to compare parameters at multiple resolutions. The new product provides data for a wide range of polar climate research applications, but is especially keyed to the needs of investigators dealing with large-scale atmospheric changes, surface heat and mass balance studies, and sea ice modelling. This dataset is public" }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 24534, 24528, 24533, 24527, 24530, 24531, 24532, 24529, 51859, 54982, 51860, 51861 ], "onlineresource_set": [ 8048 ] }, { "ob_id": 5686, "uuid": "80a0863baa49f11c9c7ca7a570208346", "title": "Polar Pathfinder Sampler (PPSM): SMMR and SSM/I Pathfinder brightness temperature data (1978-1987)", "abstract": "The SMMR and SSM/I Pathfinder brightness temperatures provide scientists with more than 20 years of consistently processed, passive microwave data for use in climatological and earth science research. Each file represents gridded data for a single sensor channel and polarization, derived from either ascending or descending orbits for one day, thereby allowing discrimination of diurnal changes in earth surface processes.\r\n\r\nEach data sets consists of three series: the Northern and Southern Hemispheres and a global projection. Grids represent spatially interpolated data. The interpolation techniques maximize the radiometric integrity of original brightness temperature values, maintain high spatial and temporal precision, and involve no averaging of original swath data.\r\n\r\nSMMR coverage began October 1978 and continued through July 1987. Grid resolution is 25 km for all channels. SSM/I coverage began August 1987 and continues through the present. Processing is ongoing with current data available within three to six months of sensor data acquisition. Resolution is 25 km for all channels and 12.5 km for the 85 GHz channels.\r\n\r\nA sample data set comprising selected SSM/I EASE-Grid brightness temperature data and time files for all three projections from September 8 (day 251), 1997 is included on this CD-ROM.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-12-17T12:25:51", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM data produced by the National Snow and Ice Data Centre and published in 2000. 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Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NIMBUS 7 Satellite; \n" }, "imageDetails": [ 84 ], "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": 5682, "uuid": "d0b3bd573a11ca2feb7c7316a3979a40", "short_code": "proj", "title": "The Polar Pathfinder Sampler (PPSM): Combined AVHRR, SMMR-SSM/I and TOVS Time Series", "abstract": "The AVHRR, SMMR-SSM/I and TOVS Polar Pathfinder research teams collaborated to make it as easy as possible to use Polar Pathfinder data sets together by employing a common projection, namely the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), and validation methods to develop consistently processed data sets that are easy to combine, compare and contrast. This CD-ROM includes sample data, time-series visualizations, and browse products, for temporal and spatial subsets of the AVHRR, SMMR-SSM/I and TOVS data sets, to illustrate the types of products available for the various data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22860, 22865, 22874, 23196, 23198, 23199, 23200, 23201, 23202, 23204, 23211, 25388, 25843, 25846, 25857, 25860, 25872, 25875, 25885, 25905, 25908, 25920, 25939, 25944, 25958, 25959, 25960, 25961, 25962, 25963 ], "vocabularyKeywords": [], "identifier_set": [ 3736, 8619 ], "observationcollection_set": [ { "ob_id": 5679, "uuid": "a6ca5bc1b36d1b1a83cba4e4ac4b0bac", "short_code": "coll", "title": "Polar Pathfinder Sampler (PPSM): Combined Time Series of Atmospheric and Surface Measurements from the AVHRR, SMMR-SSM/I and TOVS Satellites", "abstract": "To address the needs of the cryospheric science community, the SMMR-SSM/I, AVHRR and TOVS research teams collaborated to make it as easy as possible for the Polar Pathfinders and related data sets to be used together. The teams employed a common projection, the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), file naming conventions and validation methods to develop consistently processed data sets that are easy to combine and contrast.\r\n\r\nThe Polar Pathfinder Sampler CD-ROM is an innovative assemblage of atmospheric and surface measurements from all three Pathfinders. Included is a two-year period of daily merged Pathfinder data sets at 100 km-resolution, placed in a multidimensional structure known as the \"P-Cube.\" In addition, samples of full-resolution Special Sensor Microwave Imager(SSM/I), TIROS Operational Vertical Sounder (TOVS) and Advanced Very High Resolution Radiometer (AVHRR) (both the 1.25 km and 5 km products) Polar Pathfinder data sets are included, also in Equal-Area Scalable Earth-Grid (EASE-Grid), making it easy to compare parameters at multiple resolutions. The new product provides data for a wide range of polar climate research applications, but is especially keyed to the needs of investigators dealing with large-scale atmospheric changes, surface heat and mass balance studies, and sea ice modelling. This dataset is public" } ], "responsiblepartyinfo_set": [ 24543, 24537, 24542, 24536, 24541, 24539, 24540, 24538, 51867, 54983 ], "onlineresource_set": [ 8051 ] }, { "ob_id": 5690, "uuid": "541e6d4d071873e04703c7416e65e56e", "title": "Polar Pathfinder Sampler (PPSM): Polar Pathfinder Products (P-Cube) data cube multi-sensor data at 100km resolution", "abstract": "The P-Cube data set is a 100 km resolution subset of many important variables from three Polar Pathfinder Projects in common projection (Lambert azimuthal equal-area) and common grid (EASE-Grid). For the first time, data sets from multiple sensors measuring the Arctic region are being distributed in a manner that facilitates study of polar processes and interactions between them. A \"data cube\" of the Polar Pathfinder Products, hence the name \"P-Cube,\" allows users to access variables derived from three satellite sensors and use them together. The common spatial resolution for P-Cube is dictated by the lowest resolution product (TOVS data). The P-Cube allows browsing of the multi-sensor data and exploring the relationships among the variables. For AVHRR and SSM/I data, the user may turn to the full resolution, single instrument Polar Pathfinder data sets for greater details.\r\n\r\nA wide range of polar climate research applications is possible using this multi-dimensional suite of variables from AVHRR, TOVS and passive microwave instruments. The prototype version of the P-Cube included on this CD-ROM has a temporal coverage of January 1, 1988 to December 31, 1989, and a spatial coverage poleward of 60 degrees N latitude. Future versions of the P-Cube will have expanded temporal and spatial coverage, as well as additional variables.\r\n\r\nThe current prototype version of the P-Cube includes the following: atmospheric temperature (10 levels), precipitable water (5 layers), boundary layer stratification parameter, geostrophic drag coefficient, turning angle, and microwave surface emissivity (from TOVS); surface albedo, surface (skin) temperature, solar zenith angle, cloud fraction, standard deviation of surface albedo, and standard deviation of surface temperature (from AVHRR); and total ice concentration, surface type and ice velocity (from AVHRR and SSM/I). From the National Centers for Environmental Prediction (NCEP) surface pressure is provided.\r\n\r\nPlease note that the P-Cube data set is a prototype for a potential long term data set consisting of integrated Polar Pathfinder Products. At the time of the production of the Polar Pathfinder Sampler CD-ROM, the algorithms for a number of variables are still undergoing development and validation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T08:15:43", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM data produced by the National Snow and Ice Data Centre and published in 2000. 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Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Defense Meteorological Satellite Program (DMSP) Satellites; \n" }, "imageDetails": [ 84 ], "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": 5682, "uuid": "d0b3bd573a11ca2feb7c7316a3979a40", "short_code": "proj", "title": "The Polar Pathfinder Sampler (PPSM): Combined AVHRR, SMMR-SSM/I and TOVS Time Series", "abstract": "The AVHRR, SMMR-SSM/I and TOVS Polar Pathfinder research teams collaborated to make it as easy as possible to use Polar Pathfinder data sets together by employing a common projection, namely the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), and validation methods to develop consistently processed data sets that are easy to combine, compare and contrast. This CD-ROM includes sample data, time-series visualizations, and browse products, for temporal and spatial subsets of the AVHRR, SMMR-SSM/I and TOVS data sets, to illustrate the types of products available for the various data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22860, 22865, 22874, 23196, 23198, 23199, 23200, 23201, 23202, 23204, 23211, 25388, 25843, 25846, 25857, 25860, 25872, 25875, 25885, 25905, 25908, 25920, 25939, 25944, 25958, 25959, 25960, 25961, 25962, 25963 ], "vocabularyKeywords": [], "identifier_set": [ 3737, 8618 ], "observationcollection_set": [ { "ob_id": 5679, "uuid": "a6ca5bc1b36d1b1a83cba4e4ac4b0bac", "short_code": "coll", "title": "Polar Pathfinder Sampler (PPSM): Combined Time Series of Atmospheric and Surface Measurements from the AVHRR, SMMR-SSM/I and TOVS Satellites", "abstract": "To address the needs of the cryospheric science community, the SMMR-SSM/I, AVHRR and TOVS research teams collaborated to make it as easy as possible for the Polar Pathfinders and related data sets to be used together. The teams employed a common projection, the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), file naming conventions and validation methods to develop consistently processed data sets that are easy to combine and contrast.\r\n\r\nThe Polar Pathfinder Sampler CD-ROM is an innovative assemblage of atmospheric and surface measurements from all three Pathfinders. Included is a two-year period of daily merged Pathfinder data sets at 100 km-resolution, placed in a multidimensional structure known as the \"P-Cube.\" In addition, samples of full-resolution Special Sensor Microwave Imager(SSM/I), TIROS Operational Vertical Sounder (TOVS) and Advanced Very High Resolution Radiometer (AVHRR) (both the 1.25 km and 5 km products) Polar Pathfinder data sets are included, also in Equal-Area Scalable Earth-Grid (EASE-Grid), making it easy to compare parameters at multiple resolutions. The new product provides data for a wide range of polar climate research applications, but is especially keyed to the needs of investigators dealing with large-scale atmospheric changes, surface heat and mass balance studies, and sea ice modelling. This dataset is public" } ], "responsiblepartyinfo_set": [ 24551, 24545, 24550, 24548, 24549, 24544, 24547, 24546, 54984, 51864, 51865, 51866 ], "onlineresource_set": [ 8050 ] }, { "ob_id": 5694, "uuid": "5be973861dfc6055f64129577cf1f636", "title": "Polar Pathfinder Sampler (PPSM): TOVS Polar Pathfinder gridded daily and monthly Arctic atmospheric soundings (1979-1998)", "abstract": "Derived from the global TIROS Operational Vertical Sounder (TOVS) data set, the TOVS Polar Pathfinder provides users with gridded daily and monthly arctic atmospheric soundings. Since 1979, TOVS has been a vital tool for weather forecasting, supplying users with information on the vertical distribution of temperature and moisture in the global atmosphere. TOVS has been particularly useful in providing atmospheric soundings over regions where in situ measurements are sparse.\r\n\r\nTOVS Polar Pathfinder data were obtained using a modified version of the Improved Initialization Inversion Algorithm to identify geophysical parameters in snow- and ice-covered areas. The data set has been designed to address the particular needs of the polar research community, and includes quantities used to compute surface turbulent fluxes and drive ocean models.\r\n\r\nVariables retrieved from satellite observed radiances for this product include atmospheric temperature profiles, water vapor, surface (skin) temperature, total effective cloud fraction, cloud top pressure, cloud top temperature, turning angle between geostrophic wind and surface stress over ice, emissivity, boundary layer stratification and geostrophic drag coefficient.\r\n\r\nTOVS data coverage spans July 7, 1979 through December 31, 1996 at a resolution of 100 km. Sample products for four selected dates in 1988 are included on this CD-ROM.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-12-17T12:26:58", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM data produced by the National Snow and Ice Data Centre and published in 2000. 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Movies are MPG formatted." }, "timePeriod": { "ob_id": 1639, "startTime": "1979-07-06T23:00:00", "endTime": "1998-12-31T00:00:00" }, "resultQuality": { "ob_id": 1479, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 5698, "uuid": "27a7e06aa1854afa9f9cb8c223c421ab", "short_code": "cmppr", "title": "Composite Process for: TOVS data on POES for the PPSM CD-ROM (1979-1998)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: TOVS data on POES for the PPSM CD-ROM (1979-1998); \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA Polar Orbiting environmental satellites (POES); \n" }, "imageDetails": [ 84 ], "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": 5682, "uuid": "d0b3bd573a11ca2feb7c7316a3979a40", "short_code": "proj", "title": "The Polar Pathfinder Sampler (PPSM): Combined AVHRR, SMMR-SSM/I and TOVS Time Series", "abstract": "The AVHRR, SMMR-SSM/I and TOVS Polar Pathfinder research teams collaborated to make it as easy as possible to use Polar Pathfinder data sets together by employing a common projection, namely the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), and validation methods to develop consistently processed data sets that are easy to combine, compare and contrast. This CD-ROM includes sample data, time-series visualizations, and browse products, for temporal and spatial subsets of the AVHRR, SMMR-SSM/I and TOVS data sets, to illustrate the types of products available for the various data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22860, 22865, 22874, 23196, 23198, 23199, 23200, 23201, 23202, 23204, 23211, 25388, 25843, 25846, 25857, 25860, 25872, 25875, 25885, 25905, 25908, 25920, 25939, 25944, 25958, 25959, 25960, 25961, 25962, 25963 ], "vocabularyKeywords": [], "identifier_set": [ 3738, 8620 ], "observationcollection_set": [ { "ob_id": 5679, "uuid": "a6ca5bc1b36d1b1a83cba4e4ac4b0bac", "short_code": "coll", "title": "Polar Pathfinder Sampler (PPSM): Combined Time Series of Atmospheric and Surface Measurements from the AVHRR, SMMR-SSM/I and TOVS Satellites", "abstract": "To address the needs of the cryospheric science community, the SMMR-SSM/I, AVHRR and TOVS research teams collaborated to make it as easy as possible for the Polar Pathfinders and related data sets to be used together. The teams employed a common projection, the NSIDC Equal-Area Scalable Earth-Grid (EASE-Grid), file naming conventions and validation methods to develop consistently processed data sets that are easy to combine and contrast.\r\n\r\nThe Polar Pathfinder Sampler CD-ROM is an innovative assemblage of atmospheric and surface measurements from all three Pathfinders. Included is a two-year period of daily merged Pathfinder data sets at 100 km-resolution, placed in a multidimensional structure known as the \"P-Cube.\" In addition, samples of full-resolution Special Sensor Microwave Imager(SSM/I), TIROS Operational Vertical Sounder (TOVS) and Advanced Very High Resolution Radiometer (AVHRR) (both the 1.25 km and 5 km products) Polar Pathfinder data sets are included, also in Equal-Area Scalable Earth-Grid (EASE-Grid), making it easy to compare parameters at multiple resolutions. The new product provides data for a wide range of polar climate research applications, but is especially keyed to the needs of investigators dealing with large-scale atmospheric changes, surface heat and mass balance studies, and sea ice modelling. This dataset is public" } ], "responsiblepartyinfo_set": [ 24559, 24553, 24552, 24555, 24558, 24556, 24557, 24554, 54985, 51868, 51869 ], "onlineresource_set": [ 8052 ] }, { "ob_id": 5704, "uuid": "f08bc2e99cac9794c6272635acccb13d", "title": "RONOCO: AQUM (Air Quality in the Unified Model) images", "abstract": "Supporting model output from the Met Office's Air Quality Unified Model (AQUM) were made available to participants during the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. The overall objective of this consortium project was to advance substantially our understanding of night-time chemical processes and their impacts on the troposphere through a combined programme of instrument development, airborne measurements and numerical modelling. \r\n\r\nThis dataset contains model output images of chemical species. These data cover 2010 period only.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-11-25T10:14:21", "updateFrequency": "notPlanned", "dataLineage": "Model data provided by the Met Office.\r\nFAAM (Facility for Airborne Atmospheric Measurements) data provided as-is by RONOCO campaign participants during the course of the campaign.", "removedDataReason": "", "keywords": "RONOCO, chemistry, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-08-11T09:31:02", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 114, "bboxName": "", "eastBoundLongitude": 11.0, "westBoundLongitude": -16.0, "southBoundLatitude": 45.0, "northBoundLatitude": 63.0 }, "verticalExtent": null, "result_field": { "ob_id": 5705, "dataPath": "/badc/ronoco/data/aqum", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 503643326, "numberOfFiles": 8270, "fileFormat": "Images are PNG formatted" }, "timePeriod": { "ob_id": 1642, "startTime": "2010-07-14T23:00:00", "endTime": "2010-09-08T23:00:00" }, "resultQuality": { "ob_id": 1481, "explanation": "Research flight data and Operational data from the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 5706, "uuid": "e03e8d96a2f34bf2912fd4056da28e72", "short_code": "comp", "title": "AQUM: Air Quality in the Unified Model deployed on unknown computer", "abstract": "This computation involved: AQUM: Air Quality in the Unified Model. The on-line air quality model AQUM (Air Quality in the Unified Model) is a limited-area forecast configuration of the Met Office Unified Model which uses the UKCA (UK Chemistry and Aerosols) sub-model. AQUM has been developed with two aims: as an operational system to deliver regional air quality forecasts and as a modelling system to conduct air quality studies to inform policy decisions on emissions controls.\n\nEmpty content" }, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "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": 5702, "uuid": "8c4155eb814ff7e5352c7de282c4a53d", "short_code": "proj", "title": "RONOCO: ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere Consortium Project", "abstract": "The NERC funded RONOCO consortium project (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) involved researchers from University of Cambridge, University of East Anglia, Univeristy of York, University of Leicester, and the University of Leeds and the University of Manchester. The project was led by Professor Rod Jones of the University of Cambridge and ran from 2008 - 2012.\r\n\r\nThe project sought to build on the significant and increasing body of evidence that night time chemistry, driven primarily by the nitrate radical NO3, plays a significant role in governing the composition of the troposphere. Recent findings show that very high concentrations of NO3 are present away from the Earth's surface. In polluted environments, the main sinks are abundant but this is also where its formation may be most rapid and hence the NO3 turnover time is very fast. The importance of this behaviour is not as yet clearly understood, yet it may have a very large impact on atmospheric chemistry and ozone formation, regional transport and transformation of oxidised nitrogen and hence acidification and eutrophication, and may also significantly add to the regional burden of ammonium nitrate particulate, which has increasing climatic importance. To understand and predict these phenomena correctly there is a need to quantify the basic chemical processes controlling NO3 and its removal from the atmosphere; the impact of NO3 chemistry on volatile organic carbon chemistry and as a pathway for radical formation and propagation; its heterogeneous chemistry and its impact on the aerosol burden and composition; its influence on ozone formation on regional and global scales and its mediation of the atmospheric lifecycle of oxidised nitrogen.\r\n\r\nThe RONOCO project sought to address these coupled questions using a combined programme of instrument development, airborne measurement, detailed process modelling, and regional and global modelling. The principal deliverables were : a) Enhancements to the instrumental capability of the FAAM aircraft to include measurements of NO3 and N2O5. b) Comprehensive measurements of night time radicals, their sources and sinks, and aerosol composition in the boundary layer and free troposphere in a range of conditions. c) Quantification of the key processes which control night-time chemical processes. d) Assessment of the impacts of night-time chemistry on regional scales. e) An assessment of the global impacts of night-time chemistry in the current and future atmospheres.\r\n\r\nA project space was made available to the project participants during the project to facilitate data sharing and preparation of products for archiving at the BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3744 ], "observationcollection_set": [ { "ob_id": 5699, "uuid": "9d0e5124b77e7549de08c7352e873e86", "short_code": "coll", "title": "RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere): In-situ airborne atmospheric chemistry and air quality unified model runs output", "abstract": "Atmospheric chemistry measurements were made during a series of campaign flights by the Facility for Airborne Atmospheric Measurements' (FAAM) BAE-146 research aircraft as part of the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. These campaign data are available along with model output from the Met Office's Air Quality Unified Model (AQUM). The scientific objectives of RONOCO were to determine the morphology of tropospheric NO3 in different meteorological conditions and seasons, and in a range of gas phase and aerosol environments, in order to quantify the key processes and pathways of oxidized nitrogen chemistry at night in the troposphere. The ultimate aim was to assess the pervasiveness and importance of night time chemical processes, and in particular NO3, for UK regional and Western European air quality, eutrophication, and ultimately to quantify its linkages to climate change.\r\n\r\nThe dataset contains images from the model output in png format." } ], "responsiblepartyinfo_set": [ 24596, 24598, 24599, 24600, 24602, 44376, 44377, 24597 ], "onlineresource_set": [ 15248 ] }, { "ob_id": 5707, "uuid": "28f2a7c61e3dbb61a3212d31e728ddb7", "title": "RONOCO: Chemistry model output images", "abstract": "Supporting model output from the Met Office's Air Quality Unified Model (AQUM) were made available to participants during the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. The overall objective of this consortium project was to advance substantially our understanding of night-time chemical processes and their impacts on the troposphere through a combined programme of instrument development, airborne measurements and numerical modelling. \r\n\r\nThis dataset contains model output images of chemical species. These data cover 2011 period only.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-02-10T08:14:39", "updateFrequency": "notPlanned", "dataLineage": "Model data provided by the Met Office.\r\n", "removedDataReason": "", "keywords": "RONOCO, chemistry, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-08-11T09:35:12", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 115, "bboxName": "", "eastBoundLongitude": 6.0, "westBoundLongitude": -12.0, "southBoundLatitude": 48.0, "northBoundLatitude": 61.0 }, "verticalExtent": null, "result_field": { "ob_id": 5708, "dataPath": "/badc/ronoco/data/model-output-images", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4265708263, "numberOfFiles": 15134, "fileFormat": "Images are PNG formatted" }, "timePeriod": { "ob_id": 1643, "startTime": "2011-01-15T00:00:00", "endTime": "2011-01-25T00:00:00" }, "resultQuality": { "ob_id": 1482, "explanation": "Research flight data and Operational data from the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 475, "uuid": "084943f2cb4a4bf1a233cc518944b3aa", "short_code": "comp", "title": "Met Office operational unified model (UM) deployed on Met Office Computer network", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Met Office Computer network. The Unified Model is the name given to the suite of atmospheric and oceanic numerical modelling software developed and used at the Met Office. The formulation of the model supports global and regional domains and is applicable to a wide range of temporal and spatial scales that allow it to be used for both numerical weather prediction and climate modelling as well as a variety of related research activities. The Unified Model was introduced into operational service in 1992. Since then, both its formulation and capabilities have been substantially enhanced." }, "procedureCompositeProcess": null, "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": 5702, "uuid": "8c4155eb814ff7e5352c7de282c4a53d", "short_code": "proj", "title": "RONOCO: ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere Consortium Project", "abstract": "The NERC funded RONOCO consortium project (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) involved researchers from University of Cambridge, University of East Anglia, Univeristy of York, University of Leicester, and the University of Leeds and the University of Manchester. The project was led by Professor Rod Jones of the University of Cambridge and ran from 2008 - 2012.\r\n\r\nThe project sought to build on the significant and increasing body of evidence that night time chemistry, driven primarily by the nitrate radical NO3, plays a significant role in governing the composition of the troposphere. Recent findings show that very high concentrations of NO3 are present away from the Earth's surface. In polluted environments, the main sinks are abundant but this is also where its formation may be most rapid and hence the NO3 turnover time is very fast. The importance of this behaviour is not as yet clearly understood, yet it may have a very large impact on atmospheric chemistry and ozone formation, regional transport and transformation of oxidised nitrogen and hence acidification and eutrophication, and may also significantly add to the regional burden of ammonium nitrate particulate, which has increasing climatic importance. To understand and predict these phenomena correctly there is a need to quantify the basic chemical processes controlling NO3 and its removal from the atmosphere; the impact of NO3 chemistry on volatile organic carbon chemistry and as a pathway for radical formation and propagation; its heterogeneous chemistry and its impact on the aerosol burden and composition; its influence on ozone formation on regional and global scales and its mediation of the atmospheric lifecycle of oxidised nitrogen.\r\n\r\nThe RONOCO project sought to address these coupled questions using a combined programme of instrument development, airborne measurement, detailed process modelling, and regional and global modelling. The principal deliverables were : a) Enhancements to the instrumental capability of the FAAM aircraft to include measurements of NO3 and N2O5. b) Comprehensive measurements of night time radicals, their sources and sinks, and aerosol composition in the boundary layer and free troposphere in a range of conditions. c) Quantification of the key processes which control night-time chemical processes. d) Assessment of the impacts of night-time chemistry on regional scales. e) An assessment of the global impacts of night-time chemistry in the current and future atmospheres.\r\n\r\nA project space was made available to the project participants during the project to facilitate data sharing and preparation of products for archiving at the BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3747 ], "observationcollection_set": [ { "ob_id": 5699, "uuid": "9d0e5124b77e7549de08c7352e873e86", "short_code": "coll", "title": "RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere): In-situ airborne atmospheric chemistry and air quality unified model runs output", "abstract": "Atmospheric chemistry measurements were made during a series of campaign flights by the Facility for Airborne Atmospheric Measurements' (FAAM) BAE-146 research aircraft as part of the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. These campaign data are available along with model output from the Met Office's Air Quality Unified Model (AQUM). The scientific objectives of RONOCO were to determine the morphology of tropospheric NO3 in different meteorological conditions and seasons, and in a range of gas phase and aerosol environments, in order to quantify the key processes and pathways of oxidized nitrogen chemistry at night in the troposphere. The ultimate aim was to assess the pervasiveness and importance of night time chemical processes, and in particular NO3, for UK regional and Western European air quality, eutrophication, and ultimately to quantify its linkages to climate change.\r\n\r\nThe dataset contains images from the model output in png format." } ], "responsiblepartyinfo_set": [ 24607, 24606, 24608, 24609, 24610, 24612, 41621, 41622 ], "onlineresource_set": [ 15247 ] } ] }