Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=700
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This dataset remains for historic purposes only. The data contain measurements of hourly and daily meteorological values, such as rainfall, sunshine duration, temperature, and wind speed.\r\n\r\nThe MIDAS dataset supersedes this dataset and new users should apply for access to that by following the on-screen instructions. If necessary, you will be able to access this historic dataset once you have been granted access to the MIDAS data.\r\n\r\nThe dataset contains the measurements of the following parameters:\r\nSunshine duration\r\nSnow depth\r\nVisibility\r\nWind speed and wind direction\r\nTemperature\r\nCloud type\r\nPast and present weather", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2000-08-07T15:06:06", "updateFrequency": "notPlanned", "dataLineage": "Data collated by Met Office from messages transmitted from recording stations from 1853 to 2000. 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Users with access to the MIDAS Land surface stations dataset automatically have access to this dataset as well.\r\n\r\n\r\nThe daily data are available online from UK stations in 110 UK regions (mainly counties) over the period 1853 to July 2000.\r\n\r\nThe hourly data are for available from stations in the 110 UK regions also covered by the daily data from 1983 to July 2000." } ], "responsiblepartyinfo_set": [ 28224, 28227, 28228, 28230, 41900, 41901, 28226, 28225 ], "onlineresource_set": [] }, { "ob_id": 6515, "uuid": "70d5f61227a6e5569523b6a570f70097", "title": "Surface Data from United Kingdom Stations, Part of the Met Office Land Surface Stations Database (1990-2000)", "abstract": "Data were collected by UK stations from 1853 until 2000. These data are the Met Office's 'old' Land Surface Observation data and have been superseded by the MIDAS dataset collection. This dataset remains for historic purposes only. 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Users with access to the MIDAS Land surface stations dataset automatically have access to this dataset as well.\r\n\r\n\r\nThe daily data are available online from UK stations in 110 UK regions (mainly counties) over the period 1853 to July 2000.\r\n\r\nThe hourly data are for available from stations in the 110 UK regions also covered by the daily data from 1983 to July 2000." } ], "responsiblepartyinfo_set": [ 28232, 28234, 28235, 28236, 28238, 42552, 42553, 28233 ], "onlineresource_set": [] }, { "ob_id": 6529, "uuid": "970f02f158d4ae69b38abdef1d444f10", "title": "APPRAISE ACES: University of Manchester Sonic Anemometer 1 Data", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThis dataset contains Micrometeorological parameters and fluxes, measured at ground level. Data were collected during 2 periods (13 April 2008 - 3 May 2008 and 21 June 2008 - 23 July 2008) by the University of Manchester sonic anemometer based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:20:35", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPRAISE ACE, Sonic Anemometer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-07-13T15:28:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 522, "bboxName": "Danum Valey, Bukit Atur, Malaysia", "eastBoundLongitude": 118.0, "westBoundLongitude": 117.0, "southBoundLatitude": 4.0, "northBoundLatitude": 5.0 }, "verticalExtent": null, "result_field": { "ob_id": 6530, "dataPath": "/badc/appraise/data/aces/man-sonic-1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 439095, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3319, "startTime": "2008-04-12T23:00:00", "endTime": "2008-07-23T11:00:00" }, "resultQuality": { "ob_id": 1726, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6532, "uuid": "1d5eaf4aa8fa496c96688f2033da4143", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Sonic Anemometer 1 Data for the Aerosol Coupling in the Earth System (ACES) Project , Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement): Sonic anemometer 1 - (formerly umist-sonic-1); PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6531, "uuid": "e2c57d91923b3fe604def87b7292b3f6", "short_code": "proj", "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52651 ], "vocabularyKeywords": [], "identifier_set": [ 4274, 8348 ], "observationcollection_set": [ { "ob_id": 6518, "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de", "short_code": "coll", "title": "APPRAISE-ACES: Aerosol instrument measurements", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. " } ], "responsiblepartyinfo_set": [ 28272, 28274, 28275, 28276, 28278, 42978, 42982, 28273, 42979, 46741, 74195 ], "onlineresource_set": [ 5605, 5606 ] }, { "ob_id": 6533, "uuid": "266621f9bc069694d26bc1b1fba3644f", "title": "APPRAISE ACES: University of Manchester Scanning Mobility Particle Sizer Data", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system. \r\n\r\nThis dataset contains measurements of concentrations of dust particles of specific sizes at ground level below the rain forest canopy. Data were collected for the period 9-23 July 2008 by the University of Manchester scanning mobility particle sizer (10-1000nm) based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia. \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-07-13T11:24:10", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPRAISE ACE, Aerosol, Mobility particle sizer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-07-13T15:27:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 522, "bboxName": "Danum Valey, Bukit Atur, Malaysia", "eastBoundLongitude": 118.0, "westBoundLongitude": 117.0, "southBoundLatitude": 4.0, "northBoundLatitude": 5.0 }, "verticalExtent": null, "result_field": { "ob_id": 6534, "dataPath": "/badc/appraise/data/aces/man-smps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 584491, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3318, "startTime": "2008-07-08T23:00:00", "endTime": "2008-07-23T11:00:00" }, "resultQuality": { "ob_id": 1727, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6536, "uuid": "c4201f2b1a4645499bf612382f4fcccd", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Scanning Mobility Particle Sizer Data for the Aerosol Coupling in the Earth System (ACES) Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement): Scanning Mobility Particle Sizer - (formerly umist-smps); PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6531, "uuid": "e2c57d91923b3fe604def87b7292b3f6", "short_code": "proj", "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 8742 ], "vocabularyKeywords": [], "identifier_set": [ 4276, 8349 ], "observationcollection_set": [ { "ob_id": 6518, "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de", "short_code": "coll", "title": "APPRAISE-ACES: Aerosol instrument measurements", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. " } ], "responsiblepartyinfo_set": [ 28281, 28283, 28284, 28285, 41594, 41598, 28287, 28282, 41595, 46742, 74194 ], "onlineresource_set": [ 5607, 5608 ] }, { "ob_id": 6537, "uuid": "99360435d665223878e4329e8981648e", "title": "APPRAISE ACES: University of Manchester Grimm Optical Particle Counter Data", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThis dataset contains measurements of concentration of different sized particles, measured from ground level up to 32 metres. Data were collected for the period 13 April to 23 July 2008 by the University of Manchester GRIMM optical particle counter based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia. \r\n\r\nMeasurements were made at fixed heights of ground level, 8 metres, 16 metres, and 32 metres. Measurements were also taken whilst the instrument was mounted on a winch which had a height range of 1 metre to 28 metres.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-07-13T11:23:51", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPRAISE ACES, Aerosol, Grimm counter", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-07-13T15:26:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 522, "bboxName": "Danum Valey, Bukit Atur, Malaysia", "eastBoundLongitude": 118.0, "westBoundLongitude": 117.0, "southBoundLatitude": 4.0, "northBoundLatitude": 5.0 }, "verticalExtent": null, "result_field": { "ob_id": 6538, "dataPath": "/badc/appraise/data/aces/man-grimm", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9511086, "numberOfFiles": 7, "fileFormat": "Data are NASA Ames formatted\r\n" }, "timePeriod": { "ob_id": 3317, "startTime": "2008-04-12T23:00:00", "endTime": "2008-07-22T11:00:00" }, "resultQuality": { "ob_id": 1728, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6539, "uuid": "1f5d4287359e4f6896908888bfd06cb4", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Grimm Optical Particle Counter Data for the Aerosol Coupling in the Earth System (ACES) Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement): Grimm Optical Particle Counter - formerly umist-grimm; PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6531, "uuid": "e2c57d91923b3fe604def87b7292b3f6", "short_code": "proj", "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 8741 ], "vocabularyKeywords": [], "identifier_set": [ 4279, 8350 ], "observationcollection_set": [ { "ob_id": 6518, "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de", "short_code": "coll", "title": "APPRAISE-ACES: Aerosol instrument measurements", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. " } ], "responsiblepartyinfo_set": [ 28291, 28293, 28294, 28295, 43000, 43004, 28297, 28292, 43001, 46743, 74193 ], "onlineresource_set": [ 5609, 5610 ] }, { "ob_id": 6540, "uuid": "447bea7b938c96fa567b2f45dec48956", "title": "APPRAISE ACES: University of Manchester Condensation Particle Counter Data", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe dataset contains measurements of concentrations of aerosols between 50nm and 2nm, using a TSI Condesation Particle Counter model 3025A, near ground level below the rainforest canopy at the nursery site. These data were collected from the 9th to 23rd of July 2008 by the University of Manchester condensation particle counter based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:05:26", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPRAISE ACES, Aerosol, particle counter", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-07-13T15:24:22", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 522, "bboxName": "Danum Valey, Bukit Atur, Malaysia", "eastBoundLongitude": 118.0, "westBoundLongitude": 117.0, "southBoundLatitude": 4.0, "northBoundLatitude": 5.0 }, "verticalExtent": null, "result_field": { "ob_id": 6541, "dataPath": "/badc/appraise/data/aces/man-cpc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 290153, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted\r\n\r\n" }, "timePeriod": { "ob_id": 3315, "startTime": "2008-07-08T23:00:00", "endTime": "2008-07-22T23:00:00" }, "resultQuality": { "ob_id": 1729, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6542, "uuid": "e494776102b84516895691069e6d4bf1", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Condensation Particle Counter Data for the Aerosol Coupling in the Earth System (ACES) Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement) : Condensation Particle Counter - formerly umist-cpc; PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6531, "uuid": "e2c57d91923b3fe604def87b7292b3f6", "short_code": "proj", "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57490 ], "vocabularyKeywords": [], "identifier_set": [ 4280, 8351 ], "observationcollection_set": [ { "ob_id": 6518, "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de", "short_code": "coll", "title": "APPRAISE-ACES: Aerosol instrument measurements", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. " } ], "responsiblepartyinfo_set": [ 28299, 28301, 28302, 28303, 28305, 41902, 41906, 28300, 41903, 46744, 74192 ], "onlineresource_set": [ 5611, 5612 ] }, { "ob_id": 6543, "uuid": "bb2309e1bff0878efbc0892c7e18fda2", "title": "APPRAISE ADIENT: Advanced Along Track Scanning Radiometer (AATSR) Daily Data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. This daily data was a subset of the GlobAEROSOL climatology from the Advanced Along Track Scanning Radiometer (AATSR) instrument on-board Envisat, data for the period 24 July 2002 to 25 February 2009. \r\n\r\nThis dataset contains measurements of the following parameters over the globe:\r\n\r\nAerosol optical thickness taken at 550nm and 870nm, \r\nAngstrom Coefficient, \r\nEarth surface albedo taken at 550nm, 670nm, 870nm, and 1600nm.\r\nUpwelling spectral radiance in the air (measured reflectance) at 550nm, 670nm, 870nm, 1600nm, and 3700nm.\r\nBrightness temperature taken at 11000nm and 12000nm.\r\nCloud area fraction\r\nAerosol speciation (from a selection of 5 pre-defined types:maritime, continental, desert, urban/polluted and biomass burning).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-05-19T15:35:01", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPAISE-ADIENT, GlobAEROSOL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "10x10km sinusoidal grid", "status": "completed", "dataPublishedTime": "2010-05-19T11:12:36", "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": 6544, "dataPath": "/badc/appraise/data/adient/globaer/aatsr", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11372935, "numberOfFiles": 6, "fileFormat": "Data are netCDF formatted\r\n" }, "timePeriod": { "ob_id": 3323, "startTime": "2002-07-23T23:00:00", "endTime": "2009-02-25T20:08:53" }, "resultQuality": { "ob_id": 1730, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6548, "uuid": "c61bb38a356843d484db31cbd0952f73", "short_code": "cmppr", "title": "Composite Process for: Advanced Along Track Scanning Radiometer (AATSR) Data for the (Appraising the Direct Impacts of aErosol oN climaTe) ADIENT project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Advanced Along Track Scanning Radiometer (AATSR) Data for the (Appraising the Direct Impacts of aErosol oN climaTe) ADIENT project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat; \n" }, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6521, "uuid": "88c0f40600399ec1bd84a52277ee7fe2", "short_code": "proj", "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project", "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4281, 8364 ], "observationcollection_set": [ { "ob_id": 12228, "uuid": "0cb1fdfbf52140b2b2177b0dc52ebca0", "short_code": "coll", "title": "APPRAISE ADIENT: Atmospheric FAAM and GlobAEROSOL data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nA primary task of the Oxford team in the ADIENT project was to provide satellite data in support of ADIENT FAAM aircraft measurement campaigns. This encompassed both aiding flight planning by providing information on where and when satellite overpasses occurred, and providing easily digestible aerosol fields from satellite sensors at near-real-time. \r\n\r\nGlobAEROSOL was an ESA Data User Element project aimed at providing a 10 year aerosol climatology from European satellite radiometers. The project is made use of the ATSR\r\n2 instrument (on board ERS2), AATSR and MERIS (on board Envisat), and SEVIRI (on\r\nboard Meteosat8).\r\n\r\nThis data collection includes selected data from ATSR2 and AATSR as well as FAAM Flights data." } ], "responsiblepartyinfo_set": [ 28307, 28309, 28310, 28311, 43508, 43512, 46842, 28308, 28313, 43509, 72494 ], "onlineresource_set": [ 5643 ] }, { "ob_id": 6549, "uuid": "97103f7b94ac7bbf8cc4d1d1adf756b6", "title": "APPRAISE ADIENT: Along Track Scanning Radiometer, Version 2 (ATSR 2) Monthly Data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nThis monthly data is a subset of the GlobAEROSOL climatology from the Along Track Scanning Radiometer (ATSR) instrument on-board ERS-2, data. It spans the period 1 July 1995 to 10 July 2009. \r\n\r\nThe dataset contains measurements of the following parameters over the globe:\r\n\r\nAerosol optical thickness due to aerosol\r\nAngstrom Coefficient average, \r\nAerosol speciation (from a selection of 5 pre-defined types:maritime, continental, desert, urban/polluted and biomass burning).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-03-18T16:04:39", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPAISE-ADIENT, GlobAEROSOL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1x1km rectangular projection", "status": "completed", "dataPublishedTime": "2011-03-18T10:12:37", "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": 6550, "dataPath": "/badc/appraise/data/adient/globaer/atsr2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3837144, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 3324, "startTime": "1995-06-30T23:00:00", "endTime": "2009-07-10T11:00:00" }, "resultQuality": { "ob_id": 1731, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6553, "uuid": "962426ed7f874e93ad8403ed86cd5101", "short_code": "cmppr", "title": "Composite Process for: Along Track Scanning Radiometer, Version 2 (ATSR 2) Data for the (Appraising the Direct Impacts of aErosol oN climaTe) ADIENT project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Along Track Scanning Radiometer, Version 2 (ATSR 2) Data for the (Appraising the Direct Impacts of aErosol oN climaTe) ADIENT project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on European Remote Sensing satellite 2 (ERS-2); \n" }, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6521, "uuid": "88c0f40600399ec1bd84a52277ee7fe2", "short_code": "proj", "title": "APPRIASE - ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project", "abstract": "The ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project aims to provide information and understanding of the properties and processes that determine aerosol radiative properties and impact on a range of scales from close to source, through plume and to regional scales. The aim of the aircraft work is to provide quality controlled in-situ measurements for the ADIENT project concerning UK and EU anthropogenic aerosol composition, microphysics and radiative properties and radiative impact.\r\n\r\nThe ADIENT project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nRelated FAAM BAE-146 flights:\r\n\r\nManchester: Aerosol Mass Spectrometer : b333, b334, b335, b355, b356, b357, b362,b363, b364,b365, b366, b367, b368, b369, b370, b371, b372, b373, b374, b379, b380, b401,b402,b406 \r\n\r\nManchester:Single Particle Soot Photometer : b355, b356, b357.\r\n\r\nData have also been collected for the project by the Advanced Along Track Scanning Radiometer (AATSR)on the Envisat satellite, and by the Along Track Scanning Radiometer, Version 2 (ATSR 2) on the European Remote Sensing satellite 2 (ERS-2)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4282, 8365 ], "observationcollection_set": [ { "ob_id": 12228, "uuid": "0cb1fdfbf52140b2b2177b0dc52ebca0", "short_code": "coll", "title": "APPRAISE ADIENT: Atmospheric FAAM and GlobAEROSOL data", "abstract": "The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. \r\n\r\nA primary task of the Oxford team in the ADIENT project was to provide satellite data in support of ADIENT FAAM aircraft measurement campaigns. This encompassed both aiding flight planning by providing information on where and when satellite overpasses occurred, and providing easily digestible aerosol fields from satellite sensors at near-real-time. \r\n\r\nGlobAEROSOL was an ESA Data User Element project aimed at providing a 10 year aerosol climatology from European satellite radiometers. The project is made use of the ATSR\r\n2 instrument (on board ERS2), AATSR and MERIS (on board Envisat), and SEVIRI (on\r\nboard Meteosat8).\r\n\r\nThis data collection includes selected data from ATSR2 and AATSR as well as FAAM Flights data." } ], "responsiblepartyinfo_set": [ 28315, 28318, 28319, 28321, 42983, 42987, 28317, 28316, 42984, 46843, 75359 ], "onlineresource_set": [ 5644 ] }, { "ob_id": 6560, "uuid": "fb4182ed7419c0b62940d86a9e30f4f3", "title": "APPRAISE CLOUDS: black carbon mass loading measurements from the University of Manchester Multi-Angle Absorption Photometer deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected on the 27th of November 2008 and on 5th of January 2009 by the University of Manchester multi-angle absorption photometer at Chilbolton site in support of the FAAM campaign in the South-West of the UK. The dataset contains measurements of concentrations of black carbon mass loadings based on aerosol optical absorption.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-06-16T16:40:55", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "appraise, cloud, black carbon", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-06-16T11:41:54", "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": 6561, "dataPath": "/badc/appraise/data/clouds/man-maap-bc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10113393, "numberOfFiles": 3, "fileFormat": "Nasa Ames" }, "timePeriod": { "ob_id": 1927, "startTime": "2009-01-06T00:00:00", "endTime": "2009-01-06T23:59:59" }, "resultQuality": { "ob_id": 1734, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6562, "uuid": "bdbb599e415f4584badb24f532518a41", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Multi-Angle Absorption Photometer Data for the ICE Consortium Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Multi-Angle Absorption Photometer (MAAP); PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6527, "uuid": "0419468bd7d7bb57f1ff652cee0a4026", "short_code": "proj", "title": "APPRAISE - Clouds (Aerosol cloud interactions and climate) Project", "abstract": "The aims of the Clouds (Aerosol Cloud Interactions and Climate) project are to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds. \r\n\r\nThe Clouds project data were mainly collected during FAAM (Facility for Airborne Atmospheric Measurements) flights. During these flights the FAAM aircraft was host to the University of Manchester Aerosol Mass Spectrometer, GRIMM Optical Particle Counter, Scanning Mobility Particle Sizer, and the Condensation Particle Counter. The Aerosol chamber at the University of Manchester was also used to collect data for the Clouds project. There were also ground measurements campaigns conducted at the Chilbolton Observatory site.\r\n\r\nThe APPRAISE-CLOUDS project was funded by NERC as part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme and ran from September 2007 to June 2011." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 83004 ], "vocabularyKeywords": [], "identifier_set": [ 4285 ], "observationcollection_set": [ { "ob_id": 12229, "uuid": "0d6c9fd85d1c46c191ad1129f4a0c941", "short_code": "coll", "title": "APPRAISE Clouds: ground and airborne in-situ aerosol measurements", "abstract": "Ground based and airborne in-situ aerosol measurements during the APPRAISE-CLOUDS (Aerosol cloud interactions and climate) project from the Chilbolton Atmospheric Observatory, Hampshire (South West England) and on board the FAAM BAE-146 research aircraft.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.\r\n\r\nAirborne measurements for the APPRAISE-CLOUDS project were also carried out using the FAAM BAe146 aircraft. In total 20 flights were carried out as part of this project with the aircraft operating from Cranfield, Exeter and Oberpffafenhofen, Germany.\r\n\r\nFor the APPRAISE-CLOUDS project the aircraft was equipped with a range of cloud and aerosol instruments including FSSP (cloud droplets), CPI (ice particles), 2DS (ice particles), 2DC (ice particles), 2DP (ice particles), CAPS (droplets, ice, large aerosol), AMS (aerosol chemistry), SP2 (soot aerosol), PCASP (aerosol size), SMPS (aerosol size), Filters (aerosol chemistry), CVI (cloud particle residuals), Nephalometers (aerosol scattering), PSAP (soot aerosol), Whole Air Samplers (trace gases - post flight analysis), Trace gas analysers (NOx, O3, SO2). \r\n\r\nMissions typically involved flight legs above and below cloud to characterise aerosol in the vicinity of the clouds, and flight legs within cloud to characterise cloud properties and attempt to measure cloud particle residuals. In total 110 flight hours were allocated to this project.\r\n\r\nFlight No. \tDate \t Location\r\nB331 \t6/12/07 \tSW England\r\nB336 \t8/01/08 \tSW England\r\nB337 \t15/01/08 \tSW England\r\nB338 \t17/01/08 \tSW England\r\nB376 \t15/05/08 \tSW Germany\r\nB377 \t17/05/08 \tSwitzerland\r\nB378 \t18/05/08 \tSwitzerland\r\nB421 \t17/12/08 \tCardigan Bay\r\nB422 \t15/01/09 \tSW England\r\nB423 \t20/01/09 \tBristol Channel\r\nB424 \t21/01/09 \tSW England\r\nB425 \t22/01/09 \tSW England\r\nB426 \t28/01/09 \tSW England\r\nB430 \t18/02/09 \tSW England\r\nB431 \t26/02/09 \tSW England\r\nB432 \t27/02/09 \tScotland\r\nB433 \t3/03/09 \tSW England\r\nB434 \t3/03/09 \tSW England\r\nB449 \t27/05/09 \tSW England\r\nB456 \t6/06/09 \tSW England " } ], "responsiblepartyinfo_set": [ 28339, 28341, 28342, 28343, 44512, 44516, 46831, 28340, 44513, 28345, 71568 ], "onlineresource_set": [ 5633, 5634 ] }, { "ob_id": 6563, "uuid": "2577f42b28a1d76c2e7c9d485e4a945a", "title": "APPRAISE CLOUDS: aerosols concentration measurements from the University of Manchester Scanning Mobility Particle Sizer deployed at the Chilbolton Observatory, Hampshire", "abstract": "Data were collected on the 27th of November 2008 and on the 6th of January 2009 by the University of Manchester scanning mobility particle sizer at the Chilbolton site in support of the FAAM Campaign in the South-West of England. The dataset contains measurements of concentrations of aerosols of specific sizes.\r\n\r\nThe data were collected for use in the ICE project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-06-17T14:23:47", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "appraise, cloud, aerosols concentrations", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-06-16T13:46:50", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 525, "bboxName": "CLOUDS-APPRAISE SW England", "eastBoundLongitude": 0.0, "westBoundLongitude": -8.0, "southBoundLatitude": 50.0, "northBoundLatitude": 52.0 }, "verticalExtent": null, "result_field": { "ob_id": 6564, "dataPath": "/badc/appraise/data/clouds/man-smps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19270919, "numberOfFiles": 3, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n<p>The standard formats for the APPRAISE programme are <a href=\"http://badc.nerc.ac.uk/help/formats/netcdf/\">NetCDF</a> \r\nand <a href=\"http://badc.nerc.ac.uk/help/formats/NASA-Ames/\">NASA Ames</a>.</p>\r\n<p>\r\nFile names follow the <a href=\"http://badc.nerc.ac.uk/help/file_naming.html\">BADC file name convention</a>.\r\n</p></div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 1928, "startTime": "2008-11-27T00:00:00", "endTime": "2009-01-06T00:00:00" }, "resultQuality": { "ob_id": 1735, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6565, "uuid": "fe76d1e149184d07812fe24f2213c050", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Scanning Mobility Particle Sizer Data for the ICE Consortium Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester/UFAM (Universities' Facility for Atmospheric Measurement): Scanning Mobility Particle Sizer - (formerly umist-smps); PLATFORMS: Chilbolton Observatory" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6527, "uuid": "0419468bd7d7bb57f1ff652cee0a4026", "short_code": "proj", "title": "APPRAISE - Clouds (Aerosol cloud interactions and climate) Project", "abstract": "The aims of the Clouds (Aerosol Cloud Interactions and Climate) project are to assess the relative importance of the key processes by which aerosol control cloud microphysics in mixed phase clouds, to determine the properties and role of ice nuclei and their interaction with mixed phase clouds, and to assess the role of absorbing material above, below and within clouds. \r\n\r\nThe Clouds project data were mainly collected during FAAM (Facility for Airborne Atmospheric Measurements) flights. During these flights the FAAM aircraft was host to the University of Manchester Aerosol Mass Spectrometer, GRIMM Optical Particle Counter, Scanning Mobility Particle Sizer, and the Condensation Particle Counter. The Aerosol chamber at the University of Manchester was also used to collect data for the Clouds project. There were also ground measurements campaigns conducted at the Chilbolton Observatory site.\r\n\r\nThe APPRAISE-CLOUDS project was funded by NERC as part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme and ran from September 2007 to June 2011." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52353 ], "vocabularyKeywords": [], "identifier_set": [ 4286, 4283, 4287, 4284, 4272 ], "observationcollection_set": [ { "ob_id": 12229, "uuid": "0d6c9fd85d1c46c191ad1129f4a0c941", "short_code": "coll", "title": "APPRAISE Clouds: ground and airborne in-situ aerosol measurements", "abstract": "Ground based and airborne in-situ aerosol measurements during the APPRAISE-CLOUDS (Aerosol cloud interactions and climate) project from the Chilbolton Atmospheric Observatory, Hampshire (South West England) and on board the FAAM BAE-146 research aircraft.\r\n\r\nThe data were collected for use in the CLOUDS project, which is one of multiple projects within the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) programme.\r\n\r\nAirborne measurements for the APPRAISE-CLOUDS project were also carried out using the FAAM BAe146 aircraft. In total 20 flights were carried out as part of this project with the aircraft operating from Cranfield, Exeter and Oberpffafenhofen, Germany.\r\n\r\nFor the APPRAISE-CLOUDS project the aircraft was equipped with a range of cloud and aerosol instruments including FSSP (cloud droplets), CPI (ice particles), 2DS (ice particles), 2DC (ice particles), 2DP (ice particles), CAPS (droplets, ice, large aerosol), AMS (aerosol chemistry), SP2 (soot aerosol), PCASP (aerosol size), SMPS (aerosol size), Filters (aerosol chemistry), CVI (cloud particle residuals), Nephalometers (aerosol scattering), PSAP (soot aerosol), Whole Air Samplers (trace gases - post flight analysis), Trace gas analysers (NOx, O3, SO2). \r\n\r\nMissions typically involved flight legs above and below cloud to characterise aerosol in the vicinity of the clouds, and flight legs within cloud to characterise cloud properties and attempt to measure cloud particle residuals. In total 110 flight hours were allocated to this project.\r\n\r\nFlight No. \tDate \t Location\r\nB331 \t6/12/07 \tSW England\r\nB336 \t8/01/08 \tSW England\r\nB337 \t15/01/08 \tSW England\r\nB338 \t17/01/08 \tSW England\r\nB376 \t15/05/08 \tSW Germany\r\nB377 \t17/05/08 \tSwitzerland\r\nB378 \t18/05/08 \tSwitzerland\r\nB421 \t17/12/08 \tCardigan Bay\r\nB422 \t15/01/09 \tSW England\r\nB423 \t20/01/09 \tBristol Channel\r\nB424 \t21/01/09 \tSW England\r\nB425 \t22/01/09 \tSW England\r\nB426 \t28/01/09 \tSW England\r\nB430 \t18/02/09 \tSW England\r\nB431 \t26/02/09 \tSW England\r\nB432 \t27/02/09 \tScotland\r\nB433 \t3/03/09 \tSW England\r\nB434 \t3/03/09 \tSW England\r\nB449 \t27/05/09 \tSW England\r\nB456 \t6/06/09 \tSW England " } ], "responsiblepartyinfo_set": [ 28347, 28349, 28350, 28351, 41560, 41564, 46832, 28348, 41561, 28353, 71567 ], "onlineresource_set": [ 5635, 5636 ] }, { "ob_id": 6569, "uuid": "b52f65656f56b5465588a103b1f82b23", "title": "APPRAISE ACES: University of Manchester Aerosol Chamber Data", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThis dataset contains measurements of mixing ratios of NO, NO2, NOX, and O3, using different gaseous precursors and concentrations. The following precursors were used:\r\nAlpha-pinene, \r\nBeta-caryophyllene, \r\nIsoprene, \r\nLimonene, \r\nLinalool,\r\nMyrcene\r\nat the following concentrations:\r\n30 parts per billion,\r\n50 parts per billion,\r\n250 parts per billion\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-07-22T17:18:02", "updateFrequency": "notPlanned", "dataLineage": "Data for the period 2005 to 2010, provided as is by the APPRAISE campaign participants for archiving at the BADC.", "removedDataReason": "", "keywords": "APPRAISE ACE, Aerosol, Chamber", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-07-20T10:51:15", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 149, "bboxName": "", "eastBoundLongitude": 5.0, "westBoundLongitude": -10.0, "southBoundLatitude": 49.0, "northBoundLatitude": 55.0 }, "verticalExtent": null, "result_field": { "ob_id": 6570, "dataPath": "/badc/appraise/data/aces/man-aerosol-chamber", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3868882, "numberOfFiles": 82, "fileFormat": "Data are NASA Ames formatted\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 1930, "startTime": "2008-07-10T23:00:00", "endTime": "2010-07-19T23:00:00" }, "resultQuality": { "ob_id": 1737, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-11-06" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6572, "uuid": "17832d2012b7473bb8f2103f50320413", "short_code": "acq", "title": "Acquisition Process for: University of Manchester Aerosol Chamber Data for the Aerosol Coupling in the Earth System (ACES) Project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Aerosol Chamber; PLATFORMS: Canopy Nursery, East Malaysia; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6531, "uuid": "e2c57d91923b3fe604def87b7292b3f6", "short_code": "proj", "title": "APPRIASE - ACES (Aerosol Coupling in the Earth System) Project", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nThe ACES project is part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) thematic programme of the Natural Environment Research Council (NERC). Its aim is to understand and quantify how aerosols affect the Earth's radiation budget, by scattering and/or absorbing radiation, influence clouds, and hence indirectly affect climate and the hydrological cycle, and contribute to feedback processes between land, the biosphere and climate.\r\n\r\nThe ACES project is a consortium project consisting of researchers from The Centre for Environmental Policy at Imperial College London, The School of GeoSciences at The University of Edinburgh, The Department of Chemistry at The University of Leicester, The Centre for Atmospheric Science at The University of Manchester, The Department of Chemistry at The University of York, Centre for Ecology and Hydrology (CEH), and The Department of Environmental Science at The University of Lancaster. \r\n\r\nData for the project has been collected by the University of Manchester Sonic Anemometer 1, Scanning Mobility Particle Sizer, Condensation Particle Counter, GRIMM Optical Particle Counter in the tropical forest of Borneo, and the Aerosol Chamber in the Manchester University Laboratory.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 83854 ], "vocabularyKeywords": [], "identifier_set": [ 4288, 8352 ], "observationcollection_set": [ { "ob_id": 6518, "uuid": "2645674ed6e3bf14b40c3ecd0d1df7de", "short_code": "coll", "title": "APPRAISE-ACES: Aerosol instrument measurements", "abstract": "The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.\r\n\r\nAs part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. \r\n\r\nThis dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1.\r\n\r\nThe ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project. " } ], "responsiblepartyinfo_set": [ 28363, 28365, 28366, 28367, 28369, 43380, 43384, 28364, 43381, 46745, 74191 ], "onlineresource_set": [ 5613, 5614 ] }, { "ob_id": 6574, "uuid": "7025e0c5730cdea0e18669c75cd1688b", "title": "UTLS-Ozone DCFZ campaign: CFARR Chilbolton Advanced Meteorological Radar images", "abstract": "Data from the Upper Troposphere Lower Stratosphere (UTLS) programme's round 1 research project \"Dynamics and Chemistry of Frontal Zones\" (DCFZ). DCFZ investigated the role of frontal shear zones in determining upper tropospheric chemical distributions. This dataset contains Chilbolton radar images.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-01-13T10:54:36", "updateFrequency": "notPlanned", "dataLineage": "Data were given to the BADC from Chilbolton Facility for Atmospheric and Radio Research (CFARR).", "removedDataReason": "", "keywords": "UTLS, DCFZ, Radar", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:06:33", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 152, "bboxName": "", "eastBoundLongitude": 10.0, "westBoundLongitude": -20.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 6575, "dataPath": "/badc/utls/data/dcfz/chilbolton", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 192716419, "numberOfFiles": 959, "fileFormat": "Images are JPG formatted" }, "timePeriod": { "ob_id": 1931, "startTime": "1999-01-15T00:00:00", "endTime": "1999-03-29T23:00:00" }, "resultQuality": { "ob_id": 1738, "explanation": "See documentation for details about known quality issues with these data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6576, "uuid": "623fccec976b4e9f826e8067f7137aa3", "short_code": "acq", "title": "Acquisition Process for: CFARR Chilbolton Advanced Meteorological Radar data for the UTLS-Ozone DCFZ campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Chilbolton Advanced Meteorological Radar (CAMRa) 3 GHz S-Band Radar; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42, 50 ], "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": 14434, "uuid": "b7afa77087be4853bd2988ecdf0f1108", "short_code": "proj", "title": "UTLS-Ozone: Dynamics and Chemistry of Frontal Zones (DCFZ)", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4292 ], "observationcollection_set": [ { "ob_id": 6573, "uuid": "e0a01ae0098a06297de259b7c2902ab4", "short_code": "coll", "title": "UTLS-Ozone Dynamics and Chemistry of Frontal Zones (DCFZ): Airborne atmospheric chemistry and remotely observered cloud micro-physics data", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." } ], "responsiblepartyinfo_set": [ 28380, 28381, 28383, 28386, 28384, 28385, 28387, 28382 ], "onlineresource_set": [] }, { "ob_id": 6578, "uuid": "cbfb3d8c0da0a209cb13af7da2f38992", "title": "RAPID: Meteorology model output from the HadCM3 control ensemble (1991-2030)", "abstract": "Data from \"The Predictability of rapid climate change associated with the Atlantic thermohaline circulation\" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 2 - NE/C509174/1 - Duration 1 Jan 2005 - 18 Sep 2008) led by Prof Rowan Sutton of the University of Reading, with co-investigators at the University of Oxford and at the National Oceanography Centre. The dataset identifies the dominant sources of uncertainty in General Circulation Model predictions of the Thermohaline Circulation. \r\n\r\nThis dataset contains meteorology model output from the HadCM3 control ensemble.\r\n\r\nForecasts of the future behaviour of the Atlantic Thermohaline Circulation (THC) are needed to inform policy on climate change. Such forecasts must be probabilistic taking into account the principal sources of uncertainty. It is not possible to sample exhaustively all sources of uncertainty because the number of degrees of freedom is too great. Consequently a future forecasting system will be reliant on strategies to identify those dimensions of uncertainty that are most important. This project developed an objective methodology to identify the dominant sources of uncertainty in General Circulation Model predictions of the THC. Perturbations to oceanic initial conditions and climate model parameters that generate the most rapid change in the THC and related aspects of climate were identified. These perturbations were used to produce an early probabilistic forecast for the behaviour of the THC up to 2100. The results were also feed directly into the next generation of ensemble climate predictions being developed at the UK Hadley Centre.\r\n\r\nRapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-11-13T14:39:50", "updateFrequency": "notPlanned", "dataLineage": "Data supplied by Reading University.", "removedDataReason": "", "keywords": "RAPID, Climate change, Atlantic Ocean's Thermohaline Circulation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T17:24:54", "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": 6579, "dataPath": "/badc/rapid/data/Sutton_Rapid1_Round2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3928371532, "numberOfFiles": 18, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5006, "startTime": "1991-08-31T23:00:00", "endTime": "2030-01-01T23:59:59" }, "resultQuality": { "ob_id": 1739, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 7452, "uuid": "10c5108e23554417a30bf69733c6e4d1", "short_code": "comp", "title": "Hadley Centre Coupled Model 3 (HadCM3) deployed on unknown computer", "abstract": "This computation involved: Hadley Centre Coupled Model 3 (HadCM3)." }, "procedureCompositeProcess": null, "imageDetails": [ 23 ], "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": 19138, "uuid": "156a7dcbb69a44d3ab54d1eaabd6fc6e", "short_code": "proj", "title": "RAPID Round 2: Predictability of rapid climate change associated with the Atlantic thermohaline circulation", "abstract": "Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n\r\nForecasts of the future behaviour of the Atlantic Thermohaline Circulation (THC) are needed to inform policy on climate change. Such forecasts must be probabilistic taking into account the principal sources of uncertainty. It is not possible to sample exhaustively all sources of uncertainty because the number of degrees of freedom is too great. Consequently a future forecasting system will be reliant on strategies to identify those dimensions of uncertainty that are most important. This project developed an objective methodology to identify the dominant sources of uncertainty in General Circulation Model predictions of the THC. Perturbations to oceanic initial conditions and climate model parameters that generate the most rapid change in the THC and related aspects of climate were identified. These perturbations were used to produce an early probabilistic forecast for the behaviour of the THC up to 2100. The results were also feed directly into the next generation of ensemble climate predictions being developed at the UK Hadley Centre." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1319, 1320, 1321, 1322, 1323, 1325, 3064, 3143, 3148, 3574, 3575, 3576, 3690, 3695, 3697, 3698, 3700, 3701, 52390, 52416, 52440, 52447, 52454, 52479, 52491, 52505, 52509, 53874, 53884, 53887, 53904, 53905, 55453, 55462, 55468, 55470, 55622, 57191, 69148, 69149, 69150, 69151, 69152, 69153, 69154, 69155, 69156, 69157, 69158, 69159, 69160, 69161, 69162, 69163, 69164, 69165, 69166, 69167, 69168, 69169, 69170, 69171, 69172, 69173 ], "vocabularyKeywords": [], "identifier_set": [ 4295 ], "observationcollection_set": [ { "ob_id": 6577, "uuid": "96666de7316b34c99a8ac400335017cd", "short_code": "coll", "title": "RAPID: Numerical meteorological model output data from the HadCM3 control ensemble", "abstract": "Data from \"The Predictability of rapid climate change associated with the Atlantic thermohaline circulation\" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 2 - NE/C509174/1 - Duration 1 Jan 2005 - 18 Sep 2008) led by Prof Rowan Sutton of the University of Reading, with co-investigators at the University of Oxford and at the National Oceanography Centre. The dataset identifies the dominant sources of uncertainty in General Circulation Model predictions of the Thermohaline Circulation. \r\n\r\nThis dataset contains meteorology model output from the HadCM3 control ensemble.\r\n\r\nForecasts of the future behaviour of the Atlantic Thermohaline Circulation (THC) are needed to inform policy on climate change. Such forecasts must be probabilistic taking into account the principal sources of uncertainty. It is not possible to sample exhaustively all sources of uncertainty because the number of degrees of freedom is too great. Consequently a future forecasting system will be reliant on strategies to identify those dimensions of uncertainty that are most important. This project developed an objective methodology to identify the dominant sources of uncertainty in General Circulation Model predictions of the THC. Perturbations to oceanic initial conditions and climate model parameters that generate the most rapid change in the THC and related aspects of climate were identified. These perturbations were used to produce an early probabilistic forecast for the behaviour of the THC up to 2100. The results were also feed directly into the next generation of ensemble climate predictions being developed at the UK Hadley Centre.\r\n\r\nRapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n" } ], "responsiblepartyinfo_set": [ 28397, 28396, 28399, 28400, 28401, 28402, 72002, 28398, 72456 ], "onlineresource_set": [] }, { "ob_id": 6581, "uuid": "1f07bbdcd5ced0b485dd4f32298201f1", "title": "Data from Cambridge Chemical data assimilation model at Cambridge University computer for the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) NERC Research Programme Project", "abstract": "The Cambridge Chemical Assimilation Data was produced as part of the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) Natural Environment Research Council (NERC) thematic programme. It presents Chemical assimilation data from multiple sources, which is processed into a common file format making it easy to compare data from the various field campaigns and satellite missions.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-03-11T10:35:05", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by project participants before submission to BADC for archiving", "removedDataReason": "", "keywords": "ATMOSPHERICWINDS ATMOSPHERE ALTITUDE AEROSOLS ATMOSPHERICTEMPERATURE ATMOSPHERICCHEMISTRY ATMOSPHERICPRESSURE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-26T23:38:53", "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": 6582, "dataPath": "/badc/nerc-assim-prog/data/atmoschem", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 75117961454, "numberOfFiles": 100866, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n\n<p>The file format is a column-based plain text file with one file for each day of observations from each instrument. The data usually consist of the date, time and location of the measurement along with the measurement itself and an estimate of the error on that value. In addition to these we add several other quantities describing the atmosphere at that location and time. The full list is given in the table below. Those quantities marked with an asterisk (*) are used as co-ordinates and may be used to specify limits in the search process.</p>\n<table border=\"1\" cellpadding=\"0\" cellspacing=\"2\" width=\"100%\">\n <tbody><tr>\n <td width=\"25%\">&#160;Day</td> \n <td width=\"25%\">&#160;Month</td> \n <td width=\"25%\">&#160;Year*</td> \n <td width=\"25%\">&#160;Day of year*</td> \n </tr>\n\n <tr>\n <td width=\"25%\">&#160;Time (GMT)</td> \n <td width=\"25%\">&#160;Longitude*</td> \n <td width=\"25%\">&#160;Latitude*</td> \n <td width=\"25%\">&#160;Temperature</td> \n </tr>\n <tr>\n <td width=\"25%\">&#160;Pressure*</td> \n <td width=\"25%\">&#160;Geopotential height*</td> \n <td width=\"25%\">&#160;Potential temperature*</td> \n <td width=\"25%\">&#160;Potential vorticity</td> \n </tr>\n\n <tr>\n <td width=\"25%\">&#160;Equivalent latitude*</td> \n <td width=\"25%\">&#160;Equivalent length</td> \n <td width=\"25%\">&#160;Data</td> \n <td width=\"25%\">&#160;Error</td> \n </tr>\n</tbody></table> \n</div>\n\n" }, "timePeriod": { "ob_id": 1933, "startTime": "1992-01-01T00:00:00", "endTime": "1998-12-31T00:00:00" }, "resultQuality": { "ob_id": 1740, "explanation": "Experimental data collated by project participants as part of a data assimilation project", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6583, "uuid": "3ba973d15dc749c49dc5873b933fa13e", "short_code": "comp", "title": "Cambridge Chemical data assimilation model deployed on Cambridge University computer", "abstract": "This computation involved: Cambridge Chemical data assimilation model deployed on Cambridge University computer. Chemical data assimilation model developped at the University of Cambridge, UK to produce common file format chemical database." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 2124, "uuid": "5c56804dc4c88163ef7965645a8ffb83", "short_code": "proj", "title": "Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) NERC Research Programme", "abstract": "Atmospheric and oceanographic assimilated data generated by projects under the NERC thematic research programme \"Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences\" (1998-2003)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21817, 21823, 22341, 22390, 22449, 23045, 25382, 25383, 25387, 25388, 25392, 25394, 25399, 25404, 25850, 25856, 25859, 25964 ], "vocabularyKeywords": [], "identifier_set": [ 4298 ], "observationcollection_set": [ { "ob_id": 6580, "uuid": "e9eb2767d2a69f76de28b12d154d4977", "short_code": "coll", "title": "Ensemble of Atmospheric Chemical Assimilation Model Output as part of the Cambridge Chemical Assimilation Data, part of the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) program", "abstract": "The Cambridge Chemical Assimilation Data was produced as part of the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) Natural Environment Research Council (NERC) thematic programme. It presents Chemical assimilation data from multiple sources, which is processed into a common file format making it easy to compare data from the various field campaigns and satellite missions." } ], "responsiblepartyinfo_set": [ 28412, 28417, 28415, 28416, 28418, 28411, 28414, 28413 ], "onlineresource_set": [] }, { "ob_id": 6585, "uuid": "1a439a72375d942e3f41034edafba1f7", "title": "Along Track Scanning Radiometer (ATSR-1) data from the European Remote Sensing satellite (ERS-1)", "abstract": "An infra-red radiometer capable of measuring sea surface temperature to better than 0.3K. The cd-rom dataset consists of two data products: (a) Spatially averaged sea surface temperatures (ASSTs) and (b) Time averaged global maps. The ASSTs are provided daily in half-degree cells together with temporal and positional information. The data cover the period August 1991 to July 1995. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T08:30:22", "updateFrequency": "notPlanned", "dataLineage": "The data were collected by the first Along-Track Scanning Radiometer (ATSR-1) launched on the ESA (European Space Agency) remote sensing satellite (ERS-1) in July 1991. CD-ROM obtained from the ATSR group at the Rutherford Appleton Laboratory and stored at the BADC.", "removedDataReason": "", "keywords": "OCEANTEMPERATURE OCEANS", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-20T00:39:22", "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": 6586, "dataPath": "/badc/CDs/atsr1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1132668737, "numberOfFiles": 1823, "fileFormat": "The data are stored as 2-byte and 4-byte integers in fixed-length records. The choice of this simple format means that it should be a relatively simple matter to read the data on a variety of different computer set-ups and operating systems. Software is provided on the CDs to read and plot the data." }, "timePeriod": { "ob_id": 1934, "startTime": "1991-07-20T23:00:00", "endTime": "1995-07-30T23:00:00" }, "resultQuality": { "ob_id": 1741, "explanation": "Please see documentation on the CD-ROM.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6592, "uuid": "d3f7e69cdeaa4b03bd89f7348e85e533", "short_code": "cmppr", "title": "Composite Process for: Data from Along Track Scanning Radiometer (ATSR-1) at European Remote Sensing satellite (ERS-1) for the European Space Agency (ESA)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Along Track Scanning Radiometer (ATSR-1) at European Remote Sensing satellite (ERS-1) for the European Space Agency (ESA) ; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on European Remote Sensing satellite (ERS-1); \n" }, "imageDetails": [ 99 ], "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": 2648, "uuid": "5da1a4a2137a6a1e2ac47519ca2d064e", "short_code": "proj", "title": "European Space Agency (ESA)", "abstract": "The European Space Agency is Europe's gateway to space. Its mission is to shape the development of Europe's space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe. \r\n\r\nESA has 17 Member States. By coordinating the financial and intellectual resources of its members, it can undertake programmes and activities far beyond the scope of any single European country." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21895, 25900 ], "vocabularyKeywords": [], "identifier_set": [ 4303 ], "observationcollection_set": [ { "ob_id": 6584, "uuid": "6b45fb0da5dd0346866b836cf48be082", "short_code": "coll", "title": "Sea Surface Temperatures from the Along Track Scanning Radiometer (ATSR-1) - 1991-1995", "abstract": "The data on this 2 CD set was derived from the the first Along-Track Scanning Radiometer (ATSR-1) which was a four-channel, dual-view, infra-red radiometer capable of measuring Sea Surface Temperature to very high accuracy (better the 0.3K). The instrument was launched on the ESA remote sensing satellite (ERS-1) in July 1991.\r\n\r\nThe dataset consists of two types of data product: (a) Spatially averaged sea surface temperatures (ASSTs) and (b) Time averaged global maps. The ASSTs are provided daily in half-degree cells together with with temporal and positional confidence information. The time-averaged global maps are provided at half degree resolution averaged over 5 day and 1 month periods. The data on the CDs cover the four year period from August 1991 to July 1995 inclusive.\r\n\r\nThe Principal Investigator for ATSR-1 is Chris Mutlow at the STFC Rutherford Appleton Laboratory (RAL)." }, { "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": [ 28430, 28435, 28429, 28432, 28433, 28434, 28436, 28431 ], "onlineresource_set": [] }, { "ob_id": 6594, "uuid": "0d401c19272d3f57ef1367dc64679310", "title": "Limb Infra-red Monitor of the Stratosphere (LIMS) Instrument: Methane and Nitrogen Dioxide measurements", "abstract": "Infrared radiances from the Limb Infrared Monitor of the Stratosphere (LIMS) instrument, mounted on the Nimbus-7 satellite, were stored on a Radiance Archive Tape (RAT). RAT data was used to derive a series of products, two of which are held here. Firstly, the LIMS Inverted Profile Archival Tape (LAIPAT). This dataset contains mixing ratios of methane and nitrogen dioxide. 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RAT data was used to derive a series of products, two of which are held here. Firstly, the LIMS Inverted Profile Archival Tape (LAIPAT). This dataset contains radiances (from RAT), which are used to derive daily inverted profiles of temperature, and mixing ratios, water vapour, nitric acid, and nitrogen dioxide. Profiles are geolocated. Secondly, the LIMS Map Archival Tape (LAMAT). This dataset is processed to create daily maps in the form of Fourier coefficients for each parameter at 18 pressure levels (from 0.05 to 100 mbar). Data are organised into 38 4 deg. latitude bands. Data for the daily maps are interpolated to the two synoptic time (0000 GMT for night and 1200 GMT for day). Also included is the day/night combined (averaged) data. This dataset is public. Please note that a major reprocessing of the Nimbus 7 LIMS data has recently been completed. The purpose of this activity is to take advantage of the changes in the spectral line parameters that have occurred since the original archived version was created and to generate a data version that is compatible with the UARS data sets. Improvements in the algorithm have also been made. More information is available from the LIMS homepage at http://lims.gats-inc.com/ and version 6 data can be downloaded from GES DAAC." } ], "responsiblepartyinfo_set": [ 28450, 28455, 28449, 28452, 28453, 28454, 28456, 28451 ], "onlineresource_set": [ 5244, 5243 ] }, { "ob_id": 6600, "uuid": "fe926e80d6eff970eb059bd413e4148a", "title": "DIAMET: Vertical wind profile measurements from the FGAM 1290 MHz mobile wind profiler at Capel Dewi, UK", "abstract": "The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.\r\n\r\nThis dataset contains wind profile measurements which were taken by the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler, operated by the University of Manchester,as part of the DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project from 9th August 2011 to 17th February 2012. During this period the instrument was deployed at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, UK. These data are available in netCDF and include wind speed, wind direction, signal to noise ratio and spectral width.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-04-08T11:53:32", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by Emily Norton directly from the mobile wind profiler before checking and processing using the Degreane Horizon software supplied with the mobile wind profiler. The data were then prepared for archiving by Emily Norton using IDL scripts prepared for the task. The data were then delivered to the BADC for archiving.", "removedDataReason": "", "keywords": "DIAMET, FGAM, NCAS, AMF, radar, wind profiler, boundary layer wind profiler, turbulence, thermals, boundary layer structure, radar wind profiler, Doppler radar, UHF radar, 'Clear' air radar, morning transition, convective boundary layer, mixed layer, entrainment zone, transitional boundary layer, nocturnal boundary layer, lower level jet, nocturnal jet, weather fronts, sting jets, MST", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-10-29T14:57:51", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 107, "bboxName": "", "eastBoundLongitude": -4.01, "westBoundLongitude": -4.01, "southBoundLatitude": 52.42, "northBoundLatitude": 52.42 }, "verticalExtent": null, "result_field": { "ob_id": 6601, "dataPath": "/badc/stormsrisk/data/diamet/man-radar-1290mhz", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 914440365, "numberOfFiles": 592, "fileFormat": "Data are netCDF formatted\r\n" }, "timePeriod": { "ob_id": 1937, "startTime": "2011-08-08T23:00:00", "endTime": "2012-02-17T00:00:00" }, "resultQuality": { "ob_id": 1743, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-28" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6603, "uuid": "dee085c20439454ab4180023340e0454", "short_code": "acq", "title": "Acquisition Process for: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at Capel Dewi, mid-Wales, in support of the DIAMET (DIAbatic influences on Mesoscale structures in ExtraTropical storms) project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Degreane 1290mhz Mobile Wind Profiler Radar - formerly aber-radar-1290mhz; PLATFORMS: Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 38 ], "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": 6602, "uuid": "cbb3205aca023fd4ee395dbbc7f5b281", "short_code": "proj", "title": "DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project", "abstract": "The project is aimed at a better understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), we will work to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three broad work packages. The first of these aims to look at real mesoscale structures in the atmosphere, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects will investigate the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data. The second WP examines particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed in this WP. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM The final WP addresses the problem of predictability, using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated through a student project." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 3017, 3018, 3019, 3020, 3021, 3022, 3023, 3024, 3025, 3026, 3027, 3029, 3030, 3031, 3032, 3033, 3034, 3035, 3036, 3164, 22318 ], "vocabularyKeywords": [], "identifier_set": [ 4316 ], "observationcollection_set": [ { "ob_id": 6599, "uuid": "6ca226c9634e57437f204ad9c5be77e1", "short_code": "coll", "title": "DIAMET: Ensemble of Atmospheric Airborne and Ground-based Measurements including Radar Data", "abstract": "Data from the DIAMET (DIAbatic influences on Mesoscale structures in ExTratropical storms, NE/I005234/1) project, part of the Storms Risk Mitigation NERC (Natural Environment Research Council) research programme 2009-2014. DIAMET used the FAAM (Facility for Airborne Atmospheric Measurements) BAE-146 aircraft, ground-based and airborne instruments and radar together with modelling studies to forge a better understanding and prediction of mesoscale structures in synoptic-scale storms. This is determined by focusing an incident laser beam on particles, and whenever a particle passes through the beam, a shadow is generated and imaged onto the diode array. These images are part of this dataset along with flight summaries.\r\n\r\nThe DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. The project is organised into three sections.\r\n\r\nReal mesoscale structures in the atmosphere have been examined, using high-resolution in situ and radar measurements to derive their morphology and dynamics. The key to the latter is to calculate the production of potential vorticity by diabatic processes - especially phase changes of water (vapour/liquid/ice) and air-sea fluxes of sensible and latent heat. The associated high-resolution modelling programme will use the UM to simulate a representative number of events, diagnosing the PV tendency in the model and comparing with the measurements. Sensitivity studies and further diagnostics with the model will reveal the sensitivity of the forecasts to the correct representation of these processes and the dynamical consequences of diabatically-generated PV, both on the mesoscale and larger scales. Two student projects have investigated the role of boundary-layer processes in storm behaviour and conduct a statistical investigation of mesoscale precipitation features, based on archived radar and wind profiler data.\r\n\r\nExamination of particular physical processes and the way these are represented in forecast models. Convection cannot be explicitly represented in current large-scale models (it is just beginning to be resolvable by high-resolution local-area models) so it needs to be parameterised. The schemes that are used are not optimised for mid-latitude storms, where convection often initiates at altitude rather than at the Earth's surface. A combination of novel diagnostics and new (or modified) schemes aimed at improving the representation of convection will be developed. Also addressed here will be the derivation of air-sea fluxes of heat and momentum from aircraft flights, and their use (as part of a larger, ongoing international project) to derive a better parameterisation for these quantities in high wind conditions. Lastly, microphysical measurements made with the FAAM aircraft will be used to derive latent heating/cooling rates as a function of the microphysical environment and used to improve the model simulations in the first WP and to improve microphysical parameterisations in the UM.\r\n\r\nThe problem of predictability will be addressed using a combination of ensemble and data assimilation techniques. A unique archive of forecast ensembles produced at the Met Office will be exploited to determine how well the forecast ensemble actually generates realistic mesoscale features, and the skill with which this is done (using standard measures of skill). Model errors in representing convection, air-sea fluxes and microphysics will be investigated to determine their impact on the forecasts for different flow conditions. The relationship between different model variables on the mesoscale is poorly known at present and this will be investigated using ensembles and the results of the measurement programme. Finally, novel approaches to data assimilation will be investigated." }, { "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": [ 28475, 28469, 28471, 28472, 28473, 44781, 44782, 28470 ], "onlineresource_set": [] }, { "ob_id": 6605, "uuid": "a165238d408bb1c4df4aad7a704719d6", "title": "UTLS Egrett: Atmospheric airborne chemical measurements from Egrett aircraft flights over Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nThis dataset contains airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour and CH4.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T01:42:59", "updateFrequency": "notPlanned", "dataLineage": "Data collected by the Egrett aircraft on behalf of the University of Aberystwyth respectively. Data files were then provided as is in 2002 to the BADC, where they are stored.", "removedDataReason": "", "keywords": "UTLS, Egrett, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:20:25", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 154, "bboxName": "", "eastBoundLongitude": -3.0, "westBoundLongitude": -10.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 6606, "dataPath": "/badc/utls/data/egrett/aberystwyth/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48048023, "numberOfFiles": 17, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1939, "startTime": "2000-04-21T23:00:00", "endTime": "2000-06-12T23:00:00" }, "resultQuality": { "ob_id": 1744, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6608, "uuid": "f585c75dc5b6487b9b2d674d45539daa", "short_code": "acq", "title": "Acquisition Process for: Egrett aircraft core instruments data for the UTLS-Ozone Egrett campaign (2000)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Egrett aircraft core instruments; PLATFORMS: ARA Grob G520T Egrett aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42 ], "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": 14426, "uuid": "1f97e3900136472da16821dabe5069ba", "short_code": "proj", "title": "UTLS-Ozone: Egrett", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region was a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; Ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; Balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nObjectives and Methodology\r\n\r\nThe main objectives are outlined as follows.\r\n\r\n-Gravity waves, turbulence and mixing. The processes by which gravity waves break and cause turbulence has been investigated. It will be determined whether the mixing associated with this turbulence has a significant influence on the distribution of constituents in the tropopause region. Particular emphasis has been placed on mixing at and across the tropopause\r\n-Gravity wave spectra. This involved measurements of the vertical, horizontal, and temporal spectra of temperature and wind fluctuations. The influence of specific meteorological conditions have been identified in each of the different types of spectra.\r\n-Gravity wave variability. The spatial variability of gravity wave activity has been determined with respect to specific meteorological patterns (e.g. the jet stream).\r\n-Distribution of filamentation. Determined whether and how filamentary structure becomes less prominent with altitude above the jet.\r\n-Scale of filamentation. The across-flow scales of filaments will be determined at different altitudes above the jet stream, and this was compared to model predictions\r\n-Filamentation and mixing. It was determined if there was a clear evidence of mixing (e.g. ozone-rich moist air) in filaments near the tropopause, in regions downstream of expected or observed gravity-wave breaking. Generally, the mixture of tracer concentrations were used to gauge the extent to which air near the tropopause region is genuinely mixed, with respect to the synoptic meteorological pattern.\r\n\r\nDeliverables\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4321 ], "observationcollection_set": [ { "ob_id": 6604, "uuid": "07a6ec510275c091c6666987f6c56a49", "short_code": "coll", "title": "UTLS Egrett: Airborne atmospheric chemistry and meteorological observations over Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." } ], "responsiblepartyinfo_set": [ 28490, 28496, 28493, 28494, 28495, 28491, 28497, 28492 ], "onlineresource_set": [] }, { "ob_id": 6612, "uuid": "3e10648b7a59df1005c958461957eec6", "title": "UTLS-Ozone: Ozonesonde and ozone DIAL lidar measurements from Aberystwyth, Mid-Wales", "abstract": "UTLS-OZONE was a NERC directed mode programme funding projects to study the upper troposphere and lower stratosphere. The particular emphasis was on the processes determining the distribution of ozone and any subsequent climate impacts. Two UTLS Ozone projects were based on airborne campaigns using the FAAM aircraft, namely ITOP-UK and CIRRUS.\r\n\r\nThis dataset contains ozonesonde and LIDAR ozone profiles measured by the Aberystwyth group in support of the UTLS-OZONE projects:\r\n* Dynamics and Chemistry of Frontal Zones (DCFZ) (PI: Keith Browning, Department of Meteorology, University of Reading)\r\n* Atmospheric Chemistry and Transport of Ozone (ACTO) (PI: Stuart Penkett, School of the Environment, University of East Anglia)\r\n* the Egrett experiment (PI: Jim Whiteway, University of Wales at Aberystwyth)\r\n* \"Night-Time Chemistry in the UTLS Region\" (PI: Hugh Coe, University of Manchester) and of the EU project TRACAS.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-10-17T13:59:22", "updateFrequency": "notPlanned", "dataLineage": "Data collected by the Egrett aircraft, the NERC MST Radar on behalf of the University of Aberystwyth and the University of Manchester, respectively. Data files were then provided as is in 2002 to the BADC, where they are stored.", "removedDataReason": "", "keywords": "UTLS, Ozone, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:26:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 154, "bboxName": "", "eastBoundLongitude": -3.0, "westBoundLongitude": -10.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 6613, "dataPath": "/badc/utls/data/ozprof/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3561095, "numberOfFiles": 121, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1941, "startTime": "1999-01-02T00:00:00", "endTime": "2003-01-10T00:00:00" }, "resultQuality": { "ob_id": 1746, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6614, "uuid": "b9ffcf42247646f0aba38c91add927eb", "short_code": "acq", "title": "Acquisition Process for: Ozonesondes data from Aberystwyth for the UTLS-Ozone campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Ozonesondes; PLATFORMS: Aberystwyth, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42 ], "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": 14405, "uuid": "82acd4a781ad4952b0ef9afd2d6d1939", "short_code": "proj", "title": "UTLS-Ozone: Third European Stratospheric Experiment on Ozone (THESEO)", "abstract": "Extension of THESEAO was a joint project between the Centre of Atmospheric Sciences at the university of Cambridge and the National Physical Laboratory.\r\n\r\nUnderstanding the observed loss of ozone in the mid-latitude lower stratosphere was a central objective of the NERC UT/LS Ozone thematic programme. The challenge was to understand the causes of the observed small, long-term changes in ozone. In particular, chemically induced loss had to be separated from change due to transport. This was a much more difficult problem than in the Antarctic spring where ozone loss is very substantial, and where transport plays a relatively small role.\r\n\r\nOzone loss in the Arctic has been substantial in recent winters. However, the appearance of low ozone at a particular altitude does not necessarily imply that chemical destruction of ozone has occurred. Low ozone could instead have been transported, horizontally or vertically, from another location. To confirm the processes involved, coincident measurements of long-lived tracers are required.\r\n\r\nObjectives \r\nThe overall scientific objective within this proposal was to contribute to the understanding of middle latitude ozone loss by making measurements of a number of important tracers of atmospheric motion and photochemistry, and by interpreting these measurements with state-of-the-art models of atmospheric chemistry and transport. \r\n\r\nThe particular aim of the proposal was to extend THESEO measurements of tracer and chemically active gases both spatially and temporally to provide more comprehensive coverage in the middle latitude low stratosphere and upper troposphere. The measurements were complement the similar EU funded measurements whose focus were primarily high and mid-latitudes in 1998/99. They were part of THESEO 2000 which was an extension of THESEO and which formed the basis of European collaboration with US SOLVE experiment which is studying Arctic ozone loss in the 1999/2000 winter. \r\nTogether, these measurements provide a unique data set for the study of chemistry and transport processes at mid latitudes. They studied annual transport through the middle latitude lower stratosphere and the processes of mixing with tropical and polar air. \r\n\r\nData were interpreted using 3D chemical transport models already developed at Cambridge. The large amount of data collected in polar middle and tropical latitudes during THESEO provided a unique opportunity for the new mid-latitude data to contribute to the understanding of middle latitude ozone decline and, in particular, to understanding the relative importance of in situ ozone loss and transport from other regions.\r\n\r\nBalloon flights were made from Esrange Kiruna station during the 1999/2000 winter, with balloon payloads incorporating the same UK and European instruments deployed during THESEO." }, { "ob_id": 14426, "uuid": "1f97e3900136472da16821dabe5069ba", "short_code": "proj", "title": "UTLS-Ozone: Egrett", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region was a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; Ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; Balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nObjectives and Methodology\r\n\r\nThe main objectives are outlined as follows.\r\n\r\n-Gravity waves, turbulence and mixing. The processes by which gravity waves break and cause turbulence has been investigated. It will be determined whether the mixing associated with this turbulence has a significant influence on the distribution of constituents in the tropopause region. Particular emphasis has been placed on mixing at and across the tropopause\r\n-Gravity wave spectra. This involved measurements of the vertical, horizontal, and temporal spectra of temperature and wind fluctuations. The influence of specific meteorological conditions have been identified in each of the different types of spectra.\r\n-Gravity wave variability. The spatial variability of gravity wave activity has been determined with respect to specific meteorological patterns (e.g. the jet stream).\r\n-Distribution of filamentation. Determined whether and how filamentary structure becomes less prominent with altitude above the jet.\r\n-Scale of filamentation. The across-flow scales of filaments will be determined at different altitudes above the jet stream, and this was compared to model predictions\r\n-Filamentation and mixing. It was determined if there was a clear evidence of mixing (e.g. ozone-rich moist air) in filaments near the tropopause, in regions downstream of expected or observed gravity-wave breaking. Generally, the mixture of tracer concentrations were used to gauge the extent to which air near the tropopause region is genuinely mixed, with respect to the synoptic meteorological pattern.\r\n\r\nDeliverables\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." }, { "ob_id": 14434, "uuid": "b7afa77087be4853bd2988ecdf0f1108", "short_code": "proj", "title": "UTLS-Ozone: Dynamics and Chemistry of Frontal Zones (DCFZ)", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." }, { "ob_id": 14435, "uuid": "7f90dfc24c3b4ce5b4c230996dd2bf62", "short_code": "proj", "title": "UTLS-Ozone: Atmospheric Chemistry and Transport of Ozone (ACTO)", "abstract": "The Atmospheric Chemistry and Transport of Ozone in the UTLS (ACTO) was a round 2 UTLS project led by Stuart Penkett, University of East Anglia.\r\n\r\nThe objectives were:\r\n\r\nTo quantitatively assess the role of in situ chemistry and transport of stratospheric and lower tropospheric air on the ozone budget in the upper troposphere and lower stratosphere, focussing on the North Atlantic in spring and summer.\r\nQuantify the role of in-situ photochemistry (production and destruction) of ozone in layers of different composition through a combination of chemistry measurements.\r\nQuantify the sources of radical species (HOx and ROx) from photolysis of various molecules and to investigate the form and source of NOy in the UTLS region.\r\nAssess the impact of transport and mixing on the ozone budget in the UTLS through the identification of air masses each with a distinct origin and composition and to study their photo-chemical evolution in the upper troposphere and the lower stratosphere.\r\nDetermining the extent to which the existence of layering influences the chemistry of the UTLS and quantifying the impact of mixing between air masses on the photochemical activity at their interfaces.\r\n\r\nMethodology\r\nThe overall methodology was to analyse existing data, to collect new data, including that collected by some new instruments, in a part of the atmosphere rarely examined before (UTLS), and to interpret this data using a range of numerical models.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 85685 ], "vocabularyKeywords": [], "identifier_set": [ 4324 ], "observationcollection_set": [ { "ob_id": 6604, "uuid": "07a6ec510275c091c6666987f6c56a49", "short_code": "coll", "title": "UTLS Egrett: Airborne atmospheric chemistry and meteorological observations over Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." }, { "ob_id": 4033, "uuid": "644012c75ef5c143d43e6842fa4b05f1", "short_code": "coll", "title": "UTLS-Ozone THESEO: Balloon-borne Measurements from Kiruna, Sweden", "abstract": "The UTLS-Ozone THESEO (Third European Stratospheric Experiment on Ozone) project was joint activity between the Centre of Atmospheric Sciences at the University of Cambridge and the National Physical Laboratory.\r\n\r\nTHESEO's overall scientific objective were to contribute to the understanding of middle latitude ozone loss by making measurements of a number of important tracers of atmospheric motion and photochemistry, and by interpreting these measurements with state-of-the-art models of atmospheric chemistry and transport. \r\n\r\nThe particular aim of the proposal was to extend THESEO measurements of tracer and chemically active gases both spatially and temporally to provide more comprehensive coverage in the middle latitude low stratosphere and upper troposphere. The measurements were complement the similar EU funded measurements whose focus were primarily high and mid-latitudes in 1998/99. They were part of THESEO 2000 which was an extension of THESEO and which formed the basis of European collaboration with US SOLVE experiment which is studying Arctic ozone loss in the 1999/2000 winter. \r\nTogether, these measurements provide a unique data set for the study of chemistry and transport processes at mid latitudes. They studied annual transport through the middle latitude lower stratosphere and the processes of mixing with tropical and polar air. \r\n\r\nData were interpreted using 3D chemical transport models already developed at Cambridge. The large amount of data collected in polar middle and tropical latitudes during THESEO provided a unique opportunity for the new mid-latitude data to contribute to the understanding of middle latitude ozone decline and, in particular, to understanding the relative importance of in situ ozone loss and transport from other regions.\r\n\r\nBalloon flights were made from Esrange Kiruna station during the 1999/2000 winter, with balloon payloads incorporating the same UK and European instruments deployed during THESEO." }, { "ob_id": 6573, "uuid": "e0a01ae0098a06297de259b7c2902ab4", "short_code": "coll", "title": "UTLS-Ozone Dynamics and Chemistry of Frontal Zones (DCFZ): Airborne atmospheric chemistry and remotely observered cloud micro-physics data", "abstract": "Frontal zones are regions where are descending from the upper troposphere and lower stratosphere comes in close proximity to rising air of recent boundary-layer origin. Such zones are often strongly sheared and subject to shearing instability and mixing.\r\n\r\nThe aim of the UTLS-DCFZ project was to investigate the nature and effect of the mixing of the two airmasses which may be characterised by very different chemical compositions. In particular, the experimental campaign helped answer questions concerning:\r\n\r\nThe distribution of chemical species around fronts.\r\nThe role of frontal systems in transporting chemical species from the boundary layer and the stratosphere into the troposphere.\r\nThe extent and rate of mixing between the differing air-masses in the vicinity of fronts.\r\nThe effect of this mixing on the photochemistry of OH and ozone.\r\nThe effect of this mixing on the dynamical structure of the front, which will feed back through 1. and 2. above.\r\n\r\nFive flights were carried out between January and April 1999, two of which were in the period which overlapped with MAXOX. These flights sampled a range of frontal situations, so the main improvement which could be made to the dataset would be to sample more fronts in a similar way, to improve the statistical basis for any analysis. Aircraft measurements of the chemical (e.g. CO, O3, NOx as well as MAXOX measureables during some of the flights), thermodynamic, physical (e.g. liquid water content, CCN etc.) and dynamical characteristics of a number of frontal situations were made. Chilbolton radar images are also available." }, { "ob_id": 2322, "uuid": "7ca95b35d9e378c10343f2730a880549", "short_code": "coll", "title": "UTLS-Ozone ACTO: Met Research Flight (MRF) C-130 Hercules aircraft atmospheric chemistry measurements and model output collection", "abstract": "The Atmospheric Chemistry and Transport of Ozone (ACTO) in the UTLS was a round 2 UTLS (Upper Troposphere and Lower Stratosphere) project led by Stuart Penkett, University of East Anglia.\r\n\r\nThis dataset collection contains airborne atmospheric chemistry data collected by the Met Research Flight (MRF) C-130 Hercules aircraft and atmospheric chemistry output.\r\n\r\nData were already collected on the composition and structure of the troposphere as part of OCTA, ACSOE, and TACIA programmes, UTLS-DCFZ and EU-MAXOX during campaigns in the first half of 1999. There was an obvious progression from the objectives of the previous experiments and those of this project. Therefore analysis of the data from these programmes were valuable for the planning of the new measurement campaign, which were collected in the UTLS using the UKMO C-130 during 40 hours flying time, in the spring/summer period of the 2000. Flights were 3-6 hours and did take place in the North Atlantic off northern Britain and were predominantly in the upper troposphere (4 to 11km) with only occasional sorties into the lower stratosphere. Flights were designed to examine the chemical composition and reactivity of different air masses: boundary layer air (marine and (polluted) continental); tropical and subtropical air; upper tropospheric and lower stratospheric air; and polar air. Detailed meteorological and chemical forecast data were obtained from ECMWF, UKMO and NILU. Domain filling trajectory calculations, with forecast wind fields, were used to locate layers and to determine their orientation, whilst the NILU chemical forecast model provided information on the expected chemical composition of the different air masses. To determine the origin, composition and chemical activity of the different air masses found in the UTLS, measurements were made from a large number of tracers, ozone precursors, reactive species and photochemical products." } ], "responsiblepartyinfo_set": [ 28509, 28508, 28514, 28511, 28512, 28513, 28515, 28510 ], "onlineresource_set": [] }, { "ob_id": 6615, "uuid": "3034bf4fd83f2de60fb8095d43d95464", "title": "UTLS Egrett: Atmospheric CFC measurements from DIRAC gas chromatograph onboard the Egrett aircraft over Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nThis dataset contains atmospheric CFC measurements from the University of Cambridge DIRAC gas chromatograph onboard the Egrett aircraft.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2002-06-12T12:35:52", "updateFrequency": "notPlanned", "dataLineage": "Data collected by the Egrett aircraft of the University of Cambridge respectively. Data files were then provided as is in 2002 to the BADC, where they are stored.", "removedDataReason": "", "keywords": "UTLS, Egrett, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:27:15", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 154, "bboxName": "", "eastBoundLongitude": -3.0, "westBoundLongitude": -10.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 6616, "dataPath": "/badc/utls/data/egrett/cambridge/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 57947, "numberOfFiles": 13, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1942, "startTime": "1999-01-17T00:00:00", "endTime": "2000-08-10T23:00:00" }, "resultQuality": { "ob_id": 1747, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6617, "uuid": "cd977608caac43fd8ea77e626f67b694", "short_code": "acq", "title": "Egrett UTLS: Atmospheric CFC measurements from DIRAC gas chromatograph onboard the Egrett aircraft", "abstract": "Egrett UTLS: Atmospheric CFC measurements from DIRAC gas chromatograph onboard the Egrett aircraft" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42 ], "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": 14426, "uuid": "1f97e3900136472da16821dabe5069ba", "short_code": "proj", "title": "UTLS-Ozone: Egrett", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region was a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; Ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; Balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nObjectives and Methodology\r\n\r\nThe main objectives are outlined as follows.\r\n\r\n-Gravity waves, turbulence and mixing. The processes by which gravity waves break and cause turbulence has been investigated. It will be determined whether the mixing associated with this turbulence has a significant influence on the distribution of constituents in the tropopause region. Particular emphasis has been placed on mixing at and across the tropopause\r\n-Gravity wave spectra. This involved measurements of the vertical, horizontal, and temporal spectra of temperature and wind fluctuations. The influence of specific meteorological conditions have been identified in each of the different types of spectra.\r\n-Gravity wave variability. The spatial variability of gravity wave activity has been determined with respect to specific meteorological patterns (e.g. the jet stream).\r\n-Distribution of filamentation. Determined whether and how filamentary structure becomes less prominent with altitude above the jet.\r\n-Scale of filamentation. The across-flow scales of filaments will be determined at different altitudes above the jet stream, and this was compared to model predictions\r\n-Filamentation and mixing. It was determined if there was a clear evidence of mixing (e.g. ozone-rich moist air) in filaments near the tropopause, in regions downstream of expected or observed gravity-wave breaking. Generally, the mixture of tracer concentrations were used to gauge the extent to which air near the tropopause region is genuinely mixed, with respect to the synoptic meteorological pattern.\r\n\r\nDeliverables\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 85673 ], "vocabularyKeywords": [], "identifier_set": [ 4325 ], "observationcollection_set": [ { "ob_id": 6604, "uuid": "07a6ec510275c091c6666987f6c56a49", "short_code": "coll", "title": "UTLS Egrett: Airborne atmospheric chemistry and meteorological observations over Aberystwyth, Mid-Wales", "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nDataset contains: airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour, CH4 and CFCs; ground based measurements, by the NERC MST Radar, of atmospheric structure, mesoscale dynamics, and turbulence; balloons measurements of ozone, water vapour, wind, temperature and pressure; Lidar of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAirborne measurements: A unique stratospheric research aircraft, the Egrett aircraft, performed 10 separate flights in the UTLS region above Aberystwyth. The Egrett was equipped with advanced instrumentation for measurements of turbulence, ozone and water vapour.\r\n\r\nGround based measurements: The ground based facilities at Aberystwyth were operated to their full capacity during the Egrett campaign. The NERC MST Radar provided measurements of atmospheric structure, mesoscale dynamics, and turbulence. Balloons carryed instruments for measuring ozone, water vapour, wind, temperature and pressure. Three separate lidar systems provided measurements of ozone, water vapour, temperature and cirrus clouds.\r\n\r\nAnalysis of gravity waves and turbulence: The above measurements were conducted when gravity waves were breaking and causing turbulence. The combination of the Egrett and ground based measurements have been used to determine if this process is significant for transport of chemical constituents in the UTLS region. These measurements also provided a new basis for testing theories and models of the wave breaking process.\r\n\r\nAnalysis of filamentation: The Egrett aircraft was directed to fly through regions of filamentation in the lower stratosphere. This provided new data to test theories and models of mixing through turbulence at the edges of filaments." } ], "responsiblepartyinfo_set": [ 28517, 28516, 28522, 28519, 28520, 28521, 28523, 28518 ], "onlineresource_set": [] }, { "ob_id": 6619, "uuid": "2fed11bdfb2f682555790cc341749d0a", "title": "GLOSS: Sea Level measurements from the Global network of sea level stations", "abstract": "The Global Sea Level Observing System (GLOSS) is an international programme co-ordinated by the Intergovernmental Oceanographic Commission (IOC) for the establishment of high quality global and regional sea level networks for application to climate, oceanographic and coastal sea level research. The programme became known as GLOSS as it provides data for deriving the 'Global Level Of the Sea Surface'; a smooth level after averaging out waves, tides and short-period meteorological events. The main component of GLOSS is the Global Core Network (GCN) of 308 sea level stations around the world, which are maintained by 87 countries. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:07:00", "updateFrequency": "notPlanned", "dataLineage": "Data obtained by a global network of permanent sea level stations.\r\nCDROM was produced in 1996. CEDA-BADC acquired a copy and later made its content available online.", "removedDataReason": "", "keywords": "GLOSS, SEA LEVEL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-02-08T17:27:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6620, "dataPath": "/badc/CDs/gloss/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1129273, "numberOfFiles": 11, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 1943, "startTime": "1807-01-01T00:01:15", "endTime": null }, "resultQuality": { "ob_id": 1748, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6624, "uuid": "803b91218f954782ab20e3875b6f66b3", "short_code": "acq", "title": "Acquisition Process for: Full tide bubbler gauge data from GLOSS station network as of June 1996", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Full tide bubbler gauge; PLATFORMS: GLOSS station network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 102 ], "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": 6621, "uuid": "7e6917d3e56a4bf4800ed58afa104f10", "short_code": "proj", "title": "Intergovernmental Oceanographic Commission (IOC)", "abstract": "The IOC of UNESCO provides Member States of the United Nations with an essential mechanism for global co-operation in the study of the ocean. The IOC assists governments to address their individual and collective ocean and coastal problems through the sharing of knowledge, information and technology and through the coordination of national programs." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 23296, 23297, 25917 ], "vocabularyKeywords": [], "identifier_set": [ 4328, 4338, 4344, 4341, 4335 ], "observationcollection_set": [ { "ob_id": 6618, "uuid": "fe80982ca010869e0693b3076163397c", "short_code": "coll", "title": "Global Sea Level Observing System (GLOSS) Project: Marine Observations", "abstract": "The Global Sea Level Observing System (GLOSS) is an international programme co-ordinated by the Intergovernmental Oceanographic Commission (IOC) for the establishment of high quality global and regional sea level networks for application to climate, oceanographic and coastal sea level research. The programme became known as GLOSS as it provides data for deriving the \"Global Level Of the Sea Surface\"; a smooth level after averaging out waves, tides and short-period meteorological events. The main component of GLOSS is the Global Core Network (GCN) of 308 sea level stations around the world, which are maintained by 87 countries. The GLOSS network has been designed to observe large-scale sea level variations of global implications, and stations were identified at intervals of approximately 1000 km along the continental coasts and on islands, but generally not closer than 500 km. In selecting individual sites, priority is given to gauges which have been functioning for a long period. All gauges are required to aim for an accuracy of 10 mm in level, and 1 minute in time. All must be linked to bench marks against which their datum is checked regularly.\r\n\r\nThis network monitors sea level changes which could be indicative of global warming, ocean circulation patterns, climate variability, etc., and contributes data to global climate research within the World Climate Research Programme (WCRP) including the Tropical Ocean-Global Atmosphere (TOGA) project, the World Ocean Circulation Experiment (WOCE), Climate Variability and Predictability (CLIVAR) and recent vertical crustal movement studies conducted by the International Union of Geodesy and Geophysics (IUGG) of the International Council of Scientific Unions (ICSU) and UNESCO (International Geological Correlation Programme (IGCP)). It also provides high quality data for practical applications of national importance. The measurements by GLOSS gauges complement satellite altimetry measurements. GLOSS is considered as an important potential element of the Global Ocean Observing System (GOOS) initiated by IOC with the World Meteorological Organisation (WMO), the UN Environmental Programme (UNEP) and ICSU.\r\n\r\nThe elements of GLOSS are:\r\n\r\nA global network of permanent sea level stations to obtain standardised sea level observations; this forms the primary network to which regional and national sea level networks can be related;\r\n\r\nData collection for international exchange with unified formats and standard procedures which includes both near-real-time as well as delayed mode data collection;\r\n\r\nData analysis and product preparation for scientific and/or practical applications;\r\n\r\nAssistance and training for establishing and maintaining sea level stations as part of GLOSS and improving national sea level networks;\r\n\r\nA selected set of GLOSS tide-gauge bench marks accurately connected to a global geodetic reference system (i.e. the conventional terrestrial frame established by the International Earth Rotation Service).\r\nThe Permanent Service for Mean Sea Level (PSMSL) collects and archives data from GLOSS stations in the form of monthly mean values, but hourly and daily values are also expected to be made available from all stations by the originators. The GLOSS network consists of 308 sea level stations, which are operated and maintained by 87 countries." } ], "responsiblepartyinfo_set": [ 28535, 28540, 28537, 28538, 28539, 28543, 28534, 28536, 28541, 28542 ], "onlineresource_set": [] }, { "ob_id": 6642, "uuid": "bb5ff147f63fcfbb3797b5925f22a171", "title": "Met Office Northern Hemisphere Gridded 500hPa Geopotential Height Daily and Monthly Series", "abstract": "This dataset holds Northern Hemisphere (north of 15 deg. N) daily and monthly series of 500 hPa geopotential height fields. The data is gridded on a 5x10 degree grid. The data is available for the period 1945 to 2005. The data is supplied by the Met Office, Hadley Centre.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-27T09:40:46", "updateFrequency": "notPlanned", "dataLineage": "Data were prepared by the Met Office's Hadley Centre for the period 1945 to 2005, before a copy was obtained for archiving at the BADC.", "removedDataReason": "", "keywords": "Met Office, Hadley,geopotential height, thickness", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "5x10 grid", "status": "completed", "dataPublishedTime": "2007-02-03T04:33:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 156, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 15.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6643, "dataPath": "/badc/ukmo-height/data/NH_500hPa_height", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 115666751, "numberOfFiles": 149, "fileFormat": "ASCII" }, "timePeriod": { "ob_id": 1948, "startTime": "1944-12-31T23:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 1753, "explanation": "Data were prepared by the Met Office's Hadley Centre", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6644, "uuid": "11fc21ad5fbe4b5994393e5026d2f1c5", "short_code": "comp", "title": "Northern Hemisphere Geopotential Height daily data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: Northern Hemisphere Geopotential Height daily data processing deployed on Met Office Hadley Centre Computers. 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The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 25382 ], "vocabularyKeywords": [], "identifier_set": [ 4349, 8749 ], "observationcollection_set": [ { "ob_id": 6641, "uuid": "c1bc99904129e5a4403a66704f3c747d", "short_code": "coll", "title": "Met Office Northern Hemisphere Gridded Geopotential Height (1945-2005) Data", "abstract": "This dataset holds Northern Hemisphere (north of 15 deg. N) daily and monthly series of 500 hPa geopotential height fields and also daily and monthly series of 1000-500 hPa thickness fields. The data is gridded (5x10 grid). The data is available for the period 1945 to 2005. 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The data is available for the period 1945 to 2005. \r\n\r\nThe geopotential thickness between pressure levels — difference of the 1000 hPa and 500 hPa geopotential heights for example — is proportional to mean virtual temperature in that layer.\r\n\r\nThe data is supplied by the Met Office, Hadley Centre.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-27T09:44:28", "updateFrequency": "notPlanned", "dataLineage": "Data were prepared by the Met Office's Hadley Centre for the period 1945 to 2005, before a copy was obtained for archiving at the BADC.", "removedDataReason": "", "keywords": "Met Office, Hadley,geopotential height, thickness", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "5x10 grid", "status": "completed", "dataPublishedTime": "2007-02-03T04:53:11", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 156, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 15.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6646, "dataPath": "/badc/ukmo-height/data/NH_1000-500hPa_thickness", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 120547996, "numberOfFiles": 149, "fileFormat": "ASCII" }, "timePeriod": { "ob_id": 1949, "startTime": "1944-12-31T23:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 1754, "explanation": "Data were prepared by the Met Office's Hadley Centre", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6647, "uuid": "de8059d7af54472893d5043c66a16019", "short_code": "comp", "title": "Northern Hemisphere Geopotential Height monthly data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: Northern Hemisphere Geopotential Height monthly data processing deployed on Met Office Hadley Centre Computers. 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The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25976 ], "vocabularyKeywords": [], "identifier_set": [ 4352, 8750 ], "observationcollection_set": [ { "ob_id": 6641, "uuid": "c1bc99904129e5a4403a66704f3c747d", "short_code": "coll", "title": "Met Office Northern Hemisphere Gridded Geopotential Height (1945-2005) Data", "abstract": "This dataset holds Northern Hemisphere (north of 15 deg. N) daily and monthly series of 500 hPa geopotential height fields and also daily and monthly series of 1000-500 hPa thickness fields. The data is gridded (5x10 grid). The data is available for the period 1945 to 2005. The data is supplied by the Met Office, Hadley Centre." } ], "responsiblepartyinfo_set": [ 28615, 28618, 28619, 28620, 28622, 28616, 28621, 28617, 53190, 55469, 169578 ], "onlineresource_set": [ 8485, 8484 ] }, { "ob_id": 6660, "uuid": "5695f194f1dd14568b6203377ff917fb", "title": "UTLS-Ozone ERA40 Validation: Comparisons of Ozone values from satellites, aircraft and the ERA-40 model output", "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading.\r\n\r\nThis dataset contains comparisons between the ERA40 ozone field output and measurements from the MOZAIC research aircraft instrumentation and the Halogen Occultation Experiment (HALOE) and Microwave Limb Sounder (MLS) instruments on board the Upper Air Research Satellite (UARS).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-01-13T10:54:36", "updateFrequency": "notPlanned", "dataLineage": "Data were collected mainly by independent satellites from the Upper Atmosphere Research Satellite (UARS), and aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, and measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME). Data were supplied to the BADC as is in 2005.", "removedDataReason": "", "keywords": "UTLS, ERA40, chemistry, ECMWF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T16:02:04", "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": 6661, "dataPath": "/badc/utls/data/era-40_validation/ozone", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3692769947, "numberOfFiles": 16575, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 1953, "startTime": "1994-07-31T23:00:00", "endTime": "1999-12-31T00:00:00" }, "resultQuality": { "ob_id": 1758, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 14436, "uuid": "9cf03361fd064a49b7b2d7eb2161335f", "short_code": "cmppr", "title": "Composite process for: Ozone and water measurements onboard MOZAIC aircraft for the UTLS-Ozone ERA40 Validation campaign (1994-1999)", "abstract": "Composite process for: Ozone and water measurements onboard MOZAIC aircraft for the UTLS-Ozone ERA40 Validation campaign (1994-1999) created through merger of other records" }, "imageDetails": [ 55 ], "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": 14439, "uuid": "ab2ed568b11d4bc7aa023e7a1b63bb08", "short_code": "proj", "title": "UTLS-Ozone ERA40: Evaluation of the ozone and water vapour datasets of the 40 year European re-analysis of the global atmosphere", "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading.\r\n\r\nRe-analyses datasets, such as the 40-year re-analysis dataset has been produced by the European Centre for Medium Range Weather Forecasts (ERA-40). This has provided an invaluable tool for a wide range of modelling, theoretical and observational studies of the atmosphere, including the UTLS region. This is because they have the advantage of being global, self-consistent and relatively long-term. It was vital that the ERA-40 dataset was carefully evaluated before, for example, projects studying the UTLS region draw conclusions based on its use. To this end, this project an evaluation of ozone and water vapour fields (important for climate, radiation and dynamics) in the UTLS region using mainly independent satellite data from the Upper Atmosphere Research Satellite (UARS), and aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, and measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME).\r\n\r\nObjectives\r\n\r\nTo evaluate the ozone and water vapour datasets in ERA-40, including the identification of shortcomings and suggestions for improvements.\r\nTo gain intimate knowledge of the data quality and shortcomings of ERA-40 datasets other than ozone and water vapour, via membership of the ERA-40 data evaluation team.\r\nTo provide users with quality-controlled, three dimensional ozone and water vapour datasets from the ERA-40 analyses, together with error statistics on the reliability of the fields.\r\nTo provide support for measurement campaigns associated with the study of chemistry/ climate interactions.\r\nTo provide support to the scientific community in the form of climatologies for studies of atmospheric variability and predictability.\r\nTo provide interdisciplinary training in data evaluation and analysis techniques, earth observation sciences and atmospheric modelling." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25394 ], "vocabularyKeywords": [], "identifier_set": [ 4362, 4357, 4358 ], "observationcollection_set": [ { "ob_id": 6648, "uuid": "b6700d9d2b1896437635dc8d4e13f934", "short_code": "coll", "title": "UTLS-Ozone ERA40 Validation: Comparisons of Ozone and Water Vapour values from satellites, aircraft and the ERA-40 model output", "abstract": "Evaluation of the Ozone and Water Vapour Datasets of the 40-Year European Re-analysis of the Global Atmosphere Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Prof. A. O Neill, Dr W. Lahoz and Prof. B. Hoskins, Centre for Global Atmospheric Modelling, Department of Meteorology, University of Reading.\r\n\r\nRe-analyses datasets, such as the 40-year re-analysis dataset (ERA-40), have been produced by the European Centre for Medium Range Weather Forecasts. This has provided an invaluable tool for a wide range of modelling, theoretical and observational studies of the atmosphere, including the UTLS region. This was because they have the advantage of being global, self-consistent and relatively long-term. It was vital that the ERA-40 dataset was carefully evaluated before projects studying the UTLS region, for example, draw conclusions based on its use. \r\n\r\nThis project undertook an evaluation of the ERA-40 dataset by comparing ozone and water vapour fields (important for climate, radiation and dynamics) in the UTLS region using independent satellite data from the Upper Atmosphere Research Satellite (UARS), aircraft data from the Measurements of Ozone by Airbus In Service Aircraft (MOZAIC) programme, measurements from fields campaigns (e.g. the European Arctic Stratospheric Experiment (EASOE), and the Second European Stratospheric Arctic and Mid-latitude Experiment (SESAME).\r\n\r\nThe objectives of the UTLS-Ozone ERA40 Validation project were:\r\n\r\nTo evaluate the ozone and water vapour datasets in ERA-40, including the identification of shortcomings and suggestions for improvements.\r\nTo gain intimate knowledge of the data quality and shortcomings of ERA-40 datasets other than ozone and water vapour, via membership of the ERA-40 data evaluation team.\r\nTo provide users with quality-controlled, three dimensional ozone and water vapour datasets from the ERA-40 analyses, together with error statistics on the reliability of the fields.\r\nTo provide support for measurement campaigns associated with the study of chemistry/ climate interactions.\r\nTo provide support to the scientific community in the form of climatologies for studies of atmospheric variability and predictability.\r\nTo provide interdisciplinary training in data evaluation and analysis techniques, earth observation sciences and atmospheric modelling." } ], "responsiblepartyinfo_set": [ 56014, 28658, 28661, 28662, 28663, 28665, 28659, 28660, 28664 ], "onlineresource_set": [] }, { "ob_id": 6667, "uuid": "85fd404a6ddf01423868172d2a2274de", "title": "Cascade: Africa-12km zfdya model run data", "abstract": "Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the zfdya simulation which ran using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N which encompasses the west african monsoon. Cascade Africa simulations are used to study African Easterly Waves.\r\n\r\nThis dataset contains 12km Africa model measurements from zfdya runs. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T15:05:44", "updateFrequency": "unknown", "dataLineage": "Data were generated using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N. 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The horizontal resolution allowed the individual cloud systems to simulate the large-scale organization. The combination of the high resolution and large domains allowed the upscale transports of heat, moisture and momentum and investigated the impact of these transports on the evolution of the synoptic and planetary scale systems.\r\n\r\nTwo domains of interest were chosen to represent continental and oceanic convection respectively. Simulations of the West African Monsoon region were used to understand the range of factors which influence the diurnal cycle of convection over complex topography and to identify the impact of the diurnal cycle and other mesoscale organization on the synoptic organization of convection by African Easterly Waves. Simulations of the Indian Ocean and West Pacific Warm Pool were used to investigate the role of mesoscale and synoptic scale organization on the evolution of the Madden-Julian Oscillation and the influence of the diurnal cycle (e.g. land-sea breeze circulations) on the maintenance of the climate of the Maritime Continent region. In addition, simulations over an idealized ocean surface were used to investigate the organization of convection by equatorially trapped wave modes." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 7025, 9051, 9052, 9053, 9054, 9055, 9056, 9057, 9058, 9059, 9060, 9061, 9062, 9063, 9064, 9065, 9066, 9067, 9068, 9069, 9070, 9071, 9072, 9073, 9074, 9075, 9076, 9077, 9078, 9079, 9080, 9081, 9082, 9083, 9084, 9085, 9086, 9087, 9088, 9089, 9090, 9091, 9092, 9093, 9094, 9095, 9096, 9097, 9098, 9099, 9100, 9101, 9102, 9103, 9104, 9105, 9106, 9107, 9108, 9109, 9110, 9111, 9112, 9113, 9114, 9115, 9116, 9117, 9118, 9119, 9120, 9121, 9122, 9123, 9124, 9125, 9126, 9127, 9128, 9129, 9130, 9131, 9132, 9133, 9134, 9135, 9136, 9137, 9138, 9139, 9140, 9141, 9142, 9143, 9144, 9145, 9146, 9147, 9148, 9149, 9150 ], "vocabularyKeywords": [], "identifier_set": [ 4368 ], "observationcollection_set": [ { "ob_id": 6666, "uuid": "20981e3052a66ca71c2ba92b94760150", "short_code": "coll", "title": "Cascade - Scale interactions in the tropical atmosphere model runs", "abstract": "Cascade was a NERC funded consortium project to study organized convection in the tropical atmosphere using large domain cloud system resolving model simulations.\r\n\r\nThis datset collection contains measurements from atmospheric model runs of the tropics.\r\n\r\nWithin the Cascade project a version of the Met Office Unified Model (UM) at horizontal resolutions of 1.5km - 40km was used Africa, Indian Ocean and West Pacific Ocean. The horizontal resolution allowed the individual cloud systems to simulate the large-scale organization. The combination of the high resolution and large domains allowed the upscale transports of heat, moisture and momentum and investigated the impact of these transports on the evolution of the synoptic and planetary scale systems.\r\n\r\nTwo domains of interest were chosen to represent continental and oceanic convection respectively. Simulations of the West African Monsoon region were used to understand the range of factors which influence the diurnal cycle of convection over complex topography and to identify the impact of the diurnal cycle and other mesoscale organization on the synoptic organization of convection by African Easterly Waves. Simulations of the Indian Ocean and West Pacific Warm Pool were used to investigate the role of mesoscale and synoptic scale organization on the evolution of the Madden-Julian Oscillation and the influence of the diurnal cycle (e.g. land-sea breeze circulations) on the maintenance of the climate of the Maritime Continent region. In addition, simulations over an idealized ocean surface were used to investigate the organization of convection by equatorially trapped wave modes.\r\n\r\n\r\n\r\n" } ], "responsiblepartyinfo_set": [ 28683, 28684, 28685, 28687, 28681, 28686, 28680, 28682 ], "onlineresource_set": [ 9340 ] }, { "ob_id": 6670, "uuid": "c9dd2107e0b7e8c7b6aca7c34980f679", "title": "CRU TS3.00: Climatic Research Unit (CRU) Time-Series (TS) Version 3.00 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec.2006)", "abstract": "The gridded CRU TS (time-series) 3.00 data are month-by-month variations in climate over the period 1901-2006, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nThe CRU TS 3.00 variables include cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum/min temperature, vapour pressure and wet day frequency.\r\n\r\nThe BADC holds the preliminary CRU TS3.00 datasets for the period 1901-2006. Note that these data are yearly files REGARDLESS of whether the data exists for the full year. In CRU TS3.00, the data up to 06/2006 *ONLY* has been used.\r\n\r\nThe CRU TS 3.00 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. \r\n\r\nAll CRU TS output files are actual values - NOT anomalies. \r\n\r\nCRU TS data are available for download to all CEDA users.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:18:31", "updateFrequency": "notPlanned", "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.", "removedDataReason": "", "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2013-10-22T16:03:20", "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": 6671, "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.00", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2878738610, "numberOfFiles": 36, "fileFormat": "The CRU TS 3.00 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.00 metadata files (i.e. stations) are available in ASCII. To understand how to read the CRU TS 3.00 data and metadata files, please refer to the CRU_TS_3.00_File_Formats_explained PDF documentation (under Linked Documentation below).\r\n\r\n" }, "timePeriod": { "ob_id": 1954, "startTime": "1901-01-01T00:00:00", "endTime": "2006-12-31T00:00:00" }, "resultQuality": { "ob_id": 1760, "explanation": "Please see Mitchell and Jones, 2005 (http://dx.doi.org/10.1002/joc.1181).\nThe CRU TS3.00 files were produced by CRU and include data up to the end of 2006. However, only data up to June 2006 should be used. For dates later than this, any subsequent updates/corrections to the original data have not been included, so the values may be misleading.\n\nPlease note, CRU TS 3.00 NetCDF data are experimental, not all attributes are correctly set yet. The data themselves should be identical to those in the ASCII versions.\n\nFor CRU TS 3.10, the data have been examined in detail for consistency with CRU TS 3.00 by the CRU. Small differences may occur where additional station data have become available since CRU TS 3.00 was generated and are now included in the analysis. The data from the entire period 1901-2009 can be used, and all of the attributes in the NetCDF files are correctly set.\n\nFor each new release of the CRU TS data, the underlying datasets have been improved. New stations have been added. Some stations have been removed for quality control purposes. 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These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters." } ], "responsiblepartyinfo_set": [ 28699, 28701, 28702, 28703, 28705, 43759, 43763, 28700, 46253, 46237, 79198, 43761, 168534, 168535 ], "onlineresource_set": [ 5332, 5340, 5333, 23717 ] }, { "ob_id": 6674, "uuid": "ac3e6be017970639a9278e64d3fd5508", "title": "CRU TS3.10: Climatic Research Unit (CRU) Time-Series (TS) Version 3.10 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec. 2009)", "abstract": "The gridded CRU TS (time-series) 3.10 data are month-by-month variations in climate over the period 1901-2009, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nCRU TS 3.10 includes variables such as cloud cover, diurnal temperature range, PET, daily mean temperature, monthly average daily minimun/maximum temperature, and vapour pressure for the period 1901-2009. Note that a corrected run of precipitation data, based on the v3.10 precipitation station data are available (e.g cru_ts_3_10_01.1901.2009.pre.dat).\r\n\r\nCRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011. CRU TS 3.10 data were produced using the same methodology as for the 3.00 dataset. The main differences is that the 3.10 dataset extends from 1901-2009, and all of the data in this period can now be used. Slight differences may be noticed between the results for a given time/location between the 3.00 and 3.10 versions, due to additional data now being available. CRU have examined the 3.10 dataset in detail and are confident that such differences are not significant.\r\n\r\nThe CRU TS 3.10 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. 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The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. 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CRU TS 3.20 data were produced using the same methodology as for the 3.00 and 3.10 datasets. \r\n\r\nCRU TS 3.20 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure and wet day frequency for the period 1901-2011.\r\n\r\nThe CRU TS 3.20 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. All CRU TS output files are actual values - NOT anomalies. \r\n\r\nCRU TS data are available for download to all CEDA users.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-02-26T14:01:42", "updateFrequency": "notPlanned", "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. 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These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters." } ], "responsiblepartyinfo_set": [ 28720, 28722, 28723, 28724, 28726, 41625, 41629, 28721, 46251, 46235, 41627, 79200, 168522, 168523 ], "onlineresource_set": [ 5328, 5347, 23715, 5329 ] }, { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "title": "CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012)", "abstract": "The gridded Climatic Research Unit (CRU) TS (time-series) 3.21 datasets are month-by-month variations in climate over the period 1901-2012, on high-resolution (0.5 x 0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nCRU TS 3.21 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2012. \r\n\r\nCRU TS 3.21 data were produced using the same methodology as for the 3.20 datasets.\r\nIn addition to updating the dataset with 2012 data, the v3.21 release corrects two errors in the v3.20 dataset. Please see the release notes in the docs section, which contain details of the errors.\r\n\r\nThis directory also contains an advisory note regarding an issue with 35 Mozambique stations that were new. After an investigation by the CRU, the comparison plots show that the only countries affected in a possibly significant way are Egypt and Eritrea. The details of these can be found in this directory.\r\n\r\nThe CRU TS 3.21 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2017-05-10T09:43:13", "updateFrequency": "notPlanned", "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In July 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was produced in July 2013.", "removedDataReason": "", "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2013-07-22T13:46:03", "doiPublishedTime": "2013-09-23T23:00:00", "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": 6680, "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.21", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 64074003382, "numberOfFiles": 648, "fileFormat": "The CRU TS 3.21 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.21 metadata files (i.e. stations and observations) are available in ASCII. To understand how to read the CRU TS 3.21 data and metadata files, please refer to the CRU_TS_3.21_File_Formats_explained PDF documentation (under Linked Documentation below)." }, "timePeriod": { "ob_id": 1957, "startTime": "1901-01-01T00:00:00", "endTime": "2012-12-31T00:00:00" }, "resultQuality": { "ob_id": 1763, "explanation": "Please see Mitchell and Jones, 2005 (http://dx.doi.org/10.1002/joc.1181).\nThe CRU TS3.00 files were produced by CRU and include data up to the end of 2006. However, only data up to June 2006 should be used. For dates later than this, any subsequent updates/corrections to the original data have not been included, so the values may be misleading.\n\nPlease note, CRU TS 3.00 NetCDF data are experimental, not all attributes are correctly set yet. The data themselves should be identical to those in the ASCII versions.\n\nFor CRU TS 3.10, the data have been examined in detail for consistency with CRU TS 3.00 by the CRU. Small differences may occur where additional station data have become available since CRU TS 3.00 was generated and are now included in the analysis. The data from the entire period 1901-2009 can be used, and all of the attributes in the NetCDF files are correctly set.\n\nFor each new release of the CRU TS data, the underlying datasets have been improved. New stations have been added. Some stations have been removed for quality control purposes. This explains why data may not be exactly the same for a common time period.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6676, "uuid": "f300abf12b80415594ab776280307a31", "short_code": "comp", "title": "UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system", "abstract": "This computation involved: UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2014) - see link below." }, "procedureCompositeProcess": null, "imageDetails": [ 103 ], "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": 6672, "uuid": "b6c783922d1ce68c4293d90caede5bb9", "short_code": "proj", "title": "UEA Climatic Research Unit (CRU) Gridded Datasets production project", "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25979, 52192, 52193, 56250, 56251, 56252, 56253, 56254, 56255, 56257, 56258, 61269, 61270, 63011 ], "vocabularyKeywords": [], "identifier_set": [ 4378, 8332, 4379 ], "observationcollection_set": [ { "ob_id": 6669, "uuid": "3f8944800cc48e1cbc29a5ee12d8542d", "short_code": "coll", "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3", "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters." } ], "responsiblepartyinfo_set": [ 28728, 28730, 28731, 28732, 28734, 44924, 44928, 28729, 46250, 46234, 44926, 79201, 168530, 168531 ], "onlineresource_set": [ 5326, 5338, 5327, 23714, 89368, 89369, 89370, 89371, 89372, 89373, 89374, 89375, 89376, 89377, 89378, 89379, 89380, 89381, 89382, 89383, 89384, 89385, 89386, 89387, 89388, 89389, 87254, 87255, 87256, 87257, 87258, 87259, 87260, 87261, 87262, 87263, 87264, 87265, 87266, 87267, 87268, 87269, 87270, 87271, 87272, 87273, 87274, 87275, 87276, 87277, 87278, 87489, 87490, 87491, 87492, 87493, 87947, 95047, 95048, 95049, 95050, 95051, 95052, 95053, 95054 ] }, { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "title": "CRU TS3.22: Climatic Research Unit (CRU) Time-Series (TS) Version 3.22 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2013)", "abstract": "The gridded CRU TS (time-series) 3.22 data are month-by-month variations in climate over the period 1901-2013, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nCRU TS 3.22 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2013.\r\n\r\nCRU TS 3.22 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2013 data, the v3.22 release corrects an error in the v3.21 dataset. This is summarised in the document, CRU_Advisory_v3.2x_NE_Africa.txt, and affects PRE and WET variables only. There are several known issues with the current dataset which cannot be resolved in the timeframe of this release; they will be addressed in the future. This directory also contains an advisory note regarding an issue with 35 Mozambique stations that were new. After an investigation by the CRU, the comparison plots show that the only countries affected in a possibly significant way are Egypt and Eritrea. The details of these can be found in this directory.\r\n\r\nThe CRU TS 3.22 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users. The CEDA Web Processing Service (WPS) may be used to extract a subset of the data (please see link to WPS below).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2017-05-10T09:43:27", "updateFrequency": "notPlanned", "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was produced in July 2013. \r\n\r\nIn July 2014, CRU TS 3.22 provided by CRU, is the latest version available, superseding all previous data versions (which are available to allow user comparisons).", "removedDataReason": "", "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2014-09-17T21:23:12", "doiPublishedTime": "2014-09-23T23:00:00", "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": 6682, "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.22", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34776546805, "numberOfFiles": 638, "fileFormat": "The CRU TS 3.22 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.22 metadata files (i.e. stations and observations) are available in ASCII. To understand how to read the CRU TS 3.22 data and metadata files, please refer to the CRU_TS_3.22_File_Formats_explained PDF documentation (under Linked Documentation below).\r\n" }, "timePeriod": { "ob_id": 1958, "startTime": "1901-01-01T00:00:00", "endTime": "2013-12-31T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6676, "uuid": "f300abf12b80415594ab776280307a31", "short_code": "comp", "title": "UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system", "abstract": "This computation involved: UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2014) - see link below." }, "procedureCompositeProcess": null, "imageDetails": [ 103 ], "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": 6672, "uuid": "b6c783922d1ce68c4293d90caede5bb9", "short_code": "proj", "title": "UEA Climatic Research Unit (CRU) Gridded Datasets production project", "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25979, 51981, 52192, 52193, 56250, 56251, 56252, 56253, 56254, 56255, 56257, 56258, 61269, 61270 ], "vocabularyKeywords": [], "identifier_set": [ 4380, 8331, 4381 ], "observationcollection_set": [ { "ob_id": 6669, "uuid": "3f8944800cc48e1cbc29a5ee12d8542d", "short_code": "coll", "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3", "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters." } ], "responsiblepartyinfo_set": [ 28736, 28738, 28739, 28740, 28742, 41002, 44825, 28737, 46233, 44827, 79202, 46249, 168528, 168529 ], "onlineresource_set": [ 5324, 5337, 5325, 23713, 87228, 87229, 87230, 87231, 87232, 87233, 87234, 87235, 87236, 87237, 87238, 87239, 87240, 87241, 87242, 87243, 87244, 87245, 87246, 87247, 87248, 87249, 87250, 87251, 87252, 87253, 87494, 87495, 87496, 89258, 89259, 89260, 89261, 89262, 89263, 89264, 89265, 89266, 89267, 89268, 89269, 89270, 89271, 89272, 89273, 89274, 89275, 89276, 89277, 88114 ] }, { "ob_id": 6684, "uuid": "79a78643974498da956b88ccd4e592c9", "title": "Acid Deposition Processes Project: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at the Centre for Ecology and Hydrology's Auchencorft Moss field site, Edinburgh", "abstract": "Vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements were collected at the Centre for Ecology and Hydrology's (CEH) Auchencorft Moss field site in January and February 2007 as part of the DEFRA funded Acid Deposition Processes Project. These data were collected by the University of Manchester Degreane Mobile Wind Profiler Radar - formerly knonw as the aber-radar-1290mhz - at 15 minute intervals and are available as netCDF files to all registered BADC users.\r\n\r\nThe dataset contains the following measurements:\r\n\r\nEastward wind velocity component\r\nNorthward wind velocity component\r\nUpward air velocity\r\nDirection the wind is from\r\nSignal to noise ratio\r\nAltitude of instrument above the ground\r\nLongitude of instrument\r\nLatitude of instrument\r\nSpectral width", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-04-07T15:21:12", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by Emily Norton directly from the mobile wind profiler before checking and processing using the Degreane Horizon software supplied with the mobile wind profiler. The data were then prepared for archiving by Emily Norton using IDL scripts prepared for the task. The data were then delivered to the BADC for archiving.", "removedDataReason": "", "keywords": "FGAM, NCAS, AMF, radar, wind profiler, boundary layer wind profiler, turbulence, thermals, boundary layer structure, radar wind profiler, Doppler radar, UHF radar, 'Clear' air radar, morning transition, convective boundary layer, mixed layer, entrainment zone, transitional boundary layer, nocturnal boundary layer, lower level jet, nocturnal jet, weather fronts, sting jets", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-11-05T12:11:42", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 158, "bboxName": "", "eastBoundLongitude": -3.244722, "westBoundLongitude": -3.244722, "southBoundLatitude": 55.793333, "northBoundLatitude": 55.793333 }, "verticalExtent": null, "result_field": { "ob_id": 6685, "dataPath": "/badc/acid-deposition/data/man-radar-1290mhz", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4254204, "numberOfFiles": 21, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1959, "startTime": "2007-01-08T00:00:00", "endTime": "2007-02-26T00:00:00" }, "resultQuality": { "ob_id": 1765, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-04-07" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6688, "uuid": "0f93577fa5754cdf8322b09a134b37ce", "short_code": "acq", "title": "Acquisition Process for: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at the Centre for Ecology and Hydrology's Auchencorft Moss field site, Edinburgh, in support of the Acid Deposition Processes Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Degreane 1290mhz Mobile Wind Profiler Radar - formerly aber-radar-1290mhz; PLATFORMS: Centre for Ecology and Hydrology (CEH) Auchencorth Moss field site; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 132 ], "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": 6686, "uuid": "4a5508f4ad9bf98d51fbf497db835c52", "short_code": "proj", "title": "Acid Deposition Processes Project", "abstract": "The Centre for Ecology and Hydrology (CEH) undertook the DEFRA funded Acid Deposition Processes Project to aid development of the understanding of acid deposition in the UK. In order to meet the project had the following 5 principal aims: \r\n1) to determine the fate of the UK emissions of sulphur and nitrogen by direct measurements and to check and validate model deposition and concentration fields; \r\n2) to measure the magnitude of exceedances of deposition over ecosystem sensitivity (Critical Load exceedances); \r\n3) to measure the trends in deposition relative to emission changes to show whether UK policy on reductions is working and Is effective; \r\n4) to provide the underpinning measurement of deposition processes (wet and dry), to provide the parameters for long range transport and deposition models in the UK (eg FRAME) and for EMEP modelling; \r\n5) to describe the chemical climate of the atmosphere over the UK and the changes with time. \r\nThis work was undertaken under DEFRA contract RMP2258." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 3017, 3018, 3019, 3020, 3021, 3022, 3023, 3024, 3025, 3026, 3027, 3028, 3029, 3030, 3031, 3032, 3033, 3034, 3035, 3036, 3037, 3038, 3039, 22318 ], "vocabularyKeywords": [], "identifier_set": [ 4384 ], "observationcollection_set": [ { "ob_id": 6683, "uuid": "62393c9183bd9d84de2780085a0237a0", "short_code": "coll", "title": "Acid Deposition Processes Project: vertical wind profile data", "abstract": "In 2007 the Centre for Ecology and Hydrology undertook continuation observational work as part of the DEFRA funded Acid Deposition Processes project. As part of this project data were collected a the Authencorth Moss field site near Edinburgh by a range of instruments routinely deployed at the site. In addition for this extension project the University of Manchester's 1290 MHz mobile wind profiler was deployed close to the Authencorth Moss field site to provide co-located vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements in January and February 2007.\r\n\r\nThis dataset collection contains measurements from the University of Manchester's 1290 MHz mobile wind profiler." }, { "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": [ 28751, 28753, 28754, 28755, 42649, 42650, 46949, 28752 ], "onlineresource_set": [] }, { "ob_id": 6690, "uuid": "3a8424e1651e438bbf59daba33556ea0", "title": "Upper Atmosphere Research Satellite (UARS) Microwave Limb Sounder (MLS) Level 3 data (1991-1997) - Version 4", "abstract": "The Microwave Limb Sounder (MLS) is an instrument on board the Upper Atmosphere Research Satellite (UARS) which measured global ClO, O3, H2O, temperature and SO2. Data are version 4 and public (gridded in time or latitude along the satellite track) between 80S - 80N, approximately 10-60 km in the vertical, from October 1991 to June 1997.\r\n\r\nThis directory tree now contains Version 4 MLS data files, in subdirectories for constituent and year, for FTP to remote machines. The data is held in IEEE binary files as supplied by the Goddard DAAC. Remember to switch to BINARY mode when transferring these files by FTP. New software to read the data files is also available.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T17:52:38", "updateFrequency": "notPlanned", "dataLineage": "Data files acquired as is directly from NASA (mirror transfer).", "removedDataReason": "", "keywords": "MLS, UARS, atmospheric chemistry, profiles", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-18T18:54:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 6, "bboxName": "SAGE orbits", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -80.0, "northBoundLatitude": 80.0 }, "verticalExtent": null, "result_field": { "ob_id": 6691, "dataPath": "/badc/mlsl3/data/v0004", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4957108511, "numberOfFiles": 32022, "fileFormat": "The data are provided in IEEE binary files." }, "timePeriod": { "ob_id": 3665, "startTime": "1991-09-18T23:00:00", "endTime": "1997-06-29T23:00:00" }, "resultQuality": { "ob_id": 1766, "explanation": "Data quality controlled by NASA. Please see dataset associated documentation.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6693, "uuid": "5c2d8a4ef9574d36b059e2718283d29c", "short_code": "cmppr", "title": "Composite Process for: MLS data onboard UARS (1991-2001)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: MLS data onboard UARS (1991-2001); \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS); \n" }, "imageDetails": [ 104 ], "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": 1633, "uuid": "aad511cec6c8ba768096d4c0db885045", "short_code": "proj", "title": "NASA Mission to Planet Earth program (MTPE)", "abstract": "NASA's Mission to Planet Earth (MTPE) is dedicated to understanding the total Earth system and the effects of natural and human-induced changes on the global environment. The MTPE Enterprise is pioneering the new discipline of Earth system science, with a near-term emphasis on global climate change. Space-based and in situ capabilities presently being used or developed yield new scientific understanding and practical benefits to the Nation." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 22341, 22449, 25388, 25391, 25394, 25397, 25398, 25981 ], "vocabularyKeywords": [], "identifier_set": [ 4392, 8631, 8622 ], "observationcollection_set": [ { "ob_id": 6689, "uuid": "2e4c98d91a9237c128c0acbf3e11ce7f", "short_code": "coll", "title": "Upper Atmosphere Research Satellite (UARS) Vertical profiles of Atmospheric Components from the Microwave Limb Sounder (MLS L3) Instrument and NERC Microwave Limb Sounder (MLS) Prototype Water Vapour Data", "abstract": "The Microwave Limb Sounder (MLS) is a satellite-borne instrument making limb sounding measurements of atmospheric composition at microwave frequencies. It was built by an instrument team based at the Jet Propulsion Laboratory and launched on the Upper Atmosphere Research Satellite (UARS) on the 12th September 1991. It began collecting data on 19th September 1991. The PI was Joe Waters.\r\n\r\nThe instrument measures thermal emission from the Earth's limb, from which vertical profiles of chlorine monoxide (ClO), ozone (O3), water vapour (H2O) sulphur dioxide (SO2) and atmospheric temperature are derived. HNO3 profiles are also available for some periods in the Version 4 data.\r\n\r\nThe data coverage extends from 80°S to 80°N, but at any one time this is restricted to 34°S to 80°N or 34°N to 80°S. In the vertical, measurements are made between approximately 10 and 60 km, from October 1991 to June 1997.\r\n\r\nAlso available as part of this archive are the prototype water vapour profiles from the Microwave Limb Sounder (MLS) data, retrieved at the University of Edinburgh (NERC funded project). Data generally cover wider altitude range than \"official\" MLS version 4 retrievals and are available at a higher vertical resolution. Coverage is from September 1991 to April 1993." } ], "responsiblepartyinfo_set": [ 28771, 28776, 28777, 28770, 28774, 28775, 28773, 28772, 51879, 54662, 51880 ], "onlineresource_set": [ 7987, 7983, 7984, 7986, 7985 ] }, { "ob_id": 6695, "uuid": "75206dfaa68b1312641e8391ac07ed53", "title": "RAPID: Self-calibrating Palmer Drought Severity Index (scPDSI) data from Europe and America", "abstract": "\"The Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences\" project, part of the Natural Environment Research Council (NERC) RAPID Climate Change Research Programme, was led by Prof Keith Briffa of the University of East Anglia and co-investigators at the University of East Anglia (Round 1 - NER/T/S/2002/00440 - Duration 1 Jul 2003 - 30 Jun 2008).\r\n\r\nThis dataset contains self-calibrating Palmer Drought Severity Index data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-11-13T14:20:47", "updateFrequency": "asNeeded", "dataLineage": "Data provided by Tim Osborn at UEA.", "removedDataReason": "", "keywords": "RAPID, Climate change, Drought", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T14:54:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1589, "bboxName": "", "eastBoundLongitude": 45.0, "westBoundLongitude": -180.0, "southBoundLatitude": 30.0, "northBoundLatitude": 70.0 }, "verticalExtent": null, "result_field": { "ob_id": 6696, "dataPath": "/badc/rapid/data/Briffa_Rapid1_Round1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 25205260, "numberOfFiles": 5, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 5002, "startTime": "2003-06-30T23:00:00", "endTime": "2008-06-30T22:59:59" }, "resultQuality": { "ob_id": 1767, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19091, "uuid": "cacfe2216dee49ff99ad4571f9ca0883", "short_code": "comp", "title": "Palmer drought index", "abstract": "The Palmer drought index, sometimes called the Palmer drought severity index and often abbreviated PDSI, is a measurement of dryness based on recent precipitation and temperature. It was developed by meteorologist Wayne Palmer, who first published his method in the 1965 paper Meteorological Drought for the Office of Climatology of the U.S. Weather Bureau.\r\n\r\nThe Palmer Drought Index is based on a supply-and-demand model of soil moisture. Supply is comparatively straightforward to calculate, but demand is more complicated as it depends on many factors, not just temperature and the amount of moisture in the soil but also hard-to-calibrate factors including evapotranspiration and recharge rates. Palmer tried to overcome these difficulties by developing an algorithm that approximated them based on the most readily available data, precipitation and temperature.\r\n\r\nThe index has proven most effective in determining long-term drought, a matter of several months, but it is not as good with conditions over a matter of weeks. It uses a 0 as normal, and drought is shown in terms of negative numbers; for example, negative 2 is moderate drought, negative 3 is severe drought, and negative 4 is extreme drought. Palmer's algorithm also is used to describe wet spells, using corresponding positive numbers. Palmer also developed a formula for standardizing drought calculations for each individual location based on the variability of precipitation and temperature at that location. 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The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n\r\nThis project analysed the output from state-of-the-art coupled climate models in conjunction with very long instrumental climate data and an extensive archive of annual- and selected decadal-resolution palaeoclimate data to study climate changes during the past millennium. Actual and model-derived synthetic networks of palaeoclimate data have been used to estimate the extent to which (i) variations in Atlantic meridional overturning circulation strength; (ii) variations in the North Atlantic Oscillation; and (iii) the sensitivity of climate to external forcing changes can be reconstructed from different networks of palaeoclimate data, making assumptions about coverage, seasonality of response and reliability of expressed climate signal." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4395 ], "observationcollection_set": [ { "ob_id": 6694, "uuid": "dd2b2c12df8a0599e75131375bd7b961", "short_code": "coll", "title": "RAPID Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences numerical model and observational data", "abstract": "This collection contains data from \"The Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences\" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00440 - Duration 1 Jul 2003 - 30 Jun 2008) led by Prof Keith Briffa of the University of East Anglia, with co-investigators at the University of East Anglia.\r\n\r\nThis dataset collection contains self-calibrating Palmer Drought Severity Index data.\r\n\r\nThis project analysed the output from state-of-the-art coupled climate models in conjunction with very long instrumental climate data and an extensive archive of annual- and selected decadal-resolution palaeoclimate data to study climate changes during the past millennium. Actual and model-derived synthetic networks of palaeoclimate data have been used to estimate the extent to which (i) variations in Atlantic meridional overturning circulation strength; (ii) variations in the North Atlantic Oscillation; and (iii) the sensitivity of climate to external forcing changes can be reconstructed from different networks of palaeoclimate data, making assumptions about coverage, seasonality of response and reliability of expressed climate signal." } ], "responsiblepartyinfo_set": [ 28794, 28789, 28790, 28788, 28792, 28793, 28795, 28791, 72444 ], "onlineresource_set": [ 15082 ] }, { "ob_id": 6698, "uuid": "bd6fd7e3bcbd6a410b8b75a6514466c4", "title": "UTLS-Ozone: Balloon-borne ozonesonde and snow-white hygrometer measurements at Aberystwyth, UK", "abstract": "Ozone and water vapour in the tropopause region was an Upper Troposphere Lower Stratosphere (UTLS) Round 3 project led by Dr G. Vaughan, Dr J.A. Whiteway, Physics Department University of Wales, Aberystwyth and Dr R.L. Jones, Department of Chemistry, University of Cambridge. \r\n\r\nThis dataset contains Balloon-borne simultaneous measurements of ozone and water vapour in the tropopause region. The flights were targeted as far as possible at different air masses in the lower stratosphere over Aberystwyth, with a particular emphasis on north-westerly jet streams.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-10-11T11:03:16", "updateFrequency": "notPlanned", "dataLineage": "Data files were provided as is by the University of Wales, Aberystwyth in 2003.", "removedDataReason": "", "keywords": "UTLS, chemistry, ozone, water vapour", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:33:13", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 159, "bboxName": "", "eastBoundLongitude": -4.1, "westBoundLongitude": -4.1, "southBoundLatitude": 52.4, "northBoundLatitude": 52.4 }, "verticalExtent": null, "result_field": { "ob_id": 6699, "dataPath": "/badc/utls/data/tropopause_O3_and_H2O/aberystwyth/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2144219, "numberOfFiles": 56, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1962, "startTime": "2000-05-03T23:00:00", "endTime": "2002-07-30T23:00:00" }, "resultQuality": { "ob_id": 1768, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-25" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 6701, "uuid": "d4fa10919e9d404a96abece0d511d6d0", "short_code": "acq", "title": "Acquisition Process for: Aberystwyth Frost Point Hygrometer data for the UTLS-Ozone campaign (2000-2002)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Aberystwyth: frost point hygrometer (Snow White); PLATFORMS: Aberystwyth, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 42 ], "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": 14440, "uuid": "b5e7c32f7fd5489aaaa6f56139469f86", "short_code": "proj", "title": "UTLS-Ozone: Ozone and water vapour measurements in the tropopause region", "abstract": "Ozone and water vapour in the tropopause region was a joint project between the Physics Department at the University of Wales, Aberystwyth and the Department of Chemistry at the University of Cambridge.\r\n\r\nBackground and objectives\r\n\r\nAir at the base of the stratosphere, within 1-2 km of the tropopause, was considered intermediate in character between stratosphere and troposphere. The ozone concentration increases steeply with height from ~80 ppbv at the tropopause to several hundred ppbv 2 km above it. The water vapour concentration was more variable, but generally decreases from ~100 ppmv at the tropopause to the standard 5-6 ppmv in the same height region. Other tracers of tropospheric origin behave likewise, which means that the lowest 2 km of the stratosphere is of quite a different chemical character to the remainder of the stratosphere.\r\n\r\nWater vapour was a key molecule in the UTLS region, and one that has traditionally been poorly measured above the tropopause. Even though the newest generation of radiosonde at that time (e.g. the Vaisala RS90) performed much better than its predecessors in the upper troposphere it still did not measure adequately in the stratosphere. The MOZAIC humidity sensor was of this type, and was also unable to extend into the stratosphere; indeed, it cannot measure reliably below 100 ppmv in the upper troposphere. Satellite instruments extend water vapour profiles into the UTLS region but their limited resolution in a region of strong vertical gradients limits their value. Measurements of UTLS humidity have therefore relied on in-situ research instrumentation, either balloon-borne or aircraft-borne. Aircraft and large balloons are expensive and cannot provide a proper climatology for water vapour, and the long sequence of NOAA frost-point hygrometer profiles do so only in one location (Boulder). This project seeked to develop a small, relatively cheap package to measure water vapour and ozone in the region around the tropopause.\r\n\r\nSpecific objectives of this project\r\n\r\nThe hygrometers to be used in this project are:\r\n\r\nCommercially-available frost point hygrometer (Snow White) developed by Meteorlabor, Switzerland. This device offered the possibility of water vapour measurements above the tropopause. It can be flown together with an ozonesonde and a radiosonde on a standard ozonesonde package, and was sufficiently cheap to be regarded as a throwaway device.\r\nA surface-acoustic-wave sensor developed by Cambridge University, which was capable of greater sensitivity and accuracy than conventional frost-point hygrometers. This method is described briefly below. Flying this device with the Snow White instrument tested the capabilities of each instrument as well as providing a unique geophysical data set. Cambridge are have developed this instrument to measure methane as well as water vapour and flights with the methane instrument will be conducted towards the end of the project.\r\nMethodology\r\n\r\nThe measurement phase of the project consisted of four month-long campaigns, for June, September and December 2001 and March 2002. An average of three flights a week were conducted during these periods - a total of 48 flights. These flights were targeted as far as possible, at different air masses in the lower stratosphere over Aberystwyth, with a particular emphasis on north-westerly jet streams. Forecast charts have been used to identify suitable conditions (350 K potential vorticity forecasts from ECMWF were available from NILU, Norway for 1 and 2 days ahead)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25394, 25397 ], "vocabularyKeywords": [], "identifier_set": [ 4398 ], "observationcollection_set": [ { "ob_id": 6697, "uuid": "153f0cb0d6d6c6c2c52015f6fb35a766", "short_code": "coll", "title": "UTLS-Ozone: Balloon-borne Simultaneous Measurements of Ozone and Water Vapour in the Tropopause Region over Aberystwyth, UK", "abstract": "Ozone and water vapour in the tropopause region was an Upper Troposphere Lower Stratosphere (UTLS) Round 3 project led by Dr G. Vaughan, Dr J.A. Whiteway, Physics Department University of Wales, Aberystwyth and Dr R.L. Jones, Department of Chemistry, University of Cambridge. Dataset contains Balloon-borne simultaneous measurements of ozone and water vapour in the tropopause region. The flights are targeted as far as possible at different air masses in the lower stratosphere over Aberystwyth, with a particular emphasis on north-westerly jet streams.\r\n\r\nAir at the base of the stratosphere, within 1-2 km of the tropopause, was considered intermediate in character between stratosphere and troposphere. The ozone concentration increases steeply with height from ~80 ppbv at the tropopause to several hundred ppbv 2 km above it. The water vapour concentration was more variable, but generally decreases from ~100 ppmv at the tropopause to the standard 5-6 ppmv in the same height region. Other tracers of tropospheric origin behave likewise, which means that the lowest 2 km of the stratosphere is of quite a different chemical character to the remainder of the stratosphere.\r\n\r\nWater vapour was a key molecule in the UTLS region, and one that has traditionally been poorly measured above the tropopause. Even though the newest generation of radiosonde at that time (e.g. the Vaisala RS90) performed much better than its predecessors in the upper troposphere it still did not measure adequately in the stratosphere. The MOZAIC humidity sensor was of this type, and was also unable to extend into the stratosphere; indeed, it cannot measure reliably below 100 ppmv in the upper troposphere. Satellite instruments extend water vapour profiles into the UTLS region but their limited resolution in a region of strong vertical gradients limits their value. Measurements of UTLS humidity have therefore relied on in-situ research instrumentation, either balloon-borne or aircraft-borne. Aircraft and large balloons are expensive and cannot provide a proper climatology for water vapour, and the long sequence of NOAA frost-point hygrometer profiles do so only in one location (Boulder). This project seeked to develop a small, relatively cheap package to measure water vapour and ozone in the region around the tropopause.\r\n\r\nThe measurement phase of the project consisted of four month-long campaigns, for June, September and December 2001 and March 2002. An average of three flights a week were conducted during these periods - a total of 48 flights. These flights were targeted as far as possible, at different air masses in the lower stratosphere over Aberystwyth, with a particular emphasis on north-westerly jet streams. Forecast charts have been used to identify suitable conditions (350 K potential vorticity forecasts from ECMWF were available from NILU, Norway for 1 and 2 days ahead).\r\n" } ], "responsiblepartyinfo_set": [ 28805, 28810, 28804, 28807, 28808, 28809, 28811, 28806, 56027 ], "onlineresource_set": [] }, { "ob_id": 6703, "uuid": "42fa98a8beb598e41aea8cc0c4d459ac", "title": "Met Office Northern Hemisphere Gridded Mean Sea Level Pressure (MSLP) Daily Series (1881-2005)", "abstract": "This dataset holds Northern Hemisphere (north of 15N) gridded (5° latitude by 10° longitude grid) series of daily Mean Sea Level Pressure fields. The data are available for the period 1881 to 2005. 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Processing used by the Hadley Centre to produce the Northern Hemisphere Mean Sea Level Pressure (MSLP) daily dataset." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2610, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "mslp", "label": "restricted: mslp 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": 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": [ 13194, 25956 ], "vocabularyKeywords": [], "identifier_set": [ 4403, 8747 ], "observationcollection_set": [ { "ob_id": 6702, "uuid": "a2ce888a0a8a8238b1621447e65d5a88", "short_code": "coll", "title": "Met Office Northern Hemisphere Gridded Mean Sea Level Pressure (MSLP) Daily and Monthly Series (1873-2005)", "abstract": "This dataset holds gridded (5° latitude by 10° longitude grid) Northern Hemisphere (north of 15N) daily and monthly series of Mean Sea Level Pressure fields. The monthly series data are available for the period 1873 to 2005; the daily series data are available for the period 1881 to 2005. 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However, such models give widely different results for some important aspects of climate change, thus limiting our ability to make practically useful projections. One such aspect is changes that may happen in the Atlantic Ocean thermohaline circulation, often referred to as the Gulf Stream. This circulation transports a great deal of heat northwards. If it weakened, future warming in Europe in particular could be reduced or possibly reversed. The spread of model results basically reflects limitations in current understanding of how the large-scale climate system operates. The aim of this project was to identify which are the most important aspects of that uncertainty by making comparisons of the responses simulated by a range of climate models. The results were intended to help improve the models by focusing attention on the aspects which require further theoretical or observational study.\r\n\r\nThis dataset collection contains meteorology and ocean model outputs.\r\n\r\nRapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n" }, { "ob_id": 6739, "uuid": "e9f6c496648f98090e1e1b5d0ab7fd05", "short_code": "coll", "title": "RAPID Assimilation in Ocean and Coupled Models to Determine the Thermohaline Circulation: Numerical circulation model data", "abstract": "\"The Assimilation in ocean and coupled models to determine the thermohaline circulation\" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 2 - NE/C509058/1 - Duration 1 Sep 2005 - 30 Sep 2009) led by Prof Keith Haines of the University of Reading, with co-investigators at the National Oceanography Centre. \r\n\r\nThis dataset collection contains Atlantic Ocean Thermohaline Circulation (ATOC) model measurements.\r\n\r\nTo make the best use of the historical research ship records as well as new observations from autonomous ocean profiling floats and special observing programs such as Rapid climate change, it was proposed to assimilate all of the available data from the past 40 years into a high quality ocean circulation model that can represent complete fields of ocean properties. In this way derived quantities such as the north-south mass and heat transports which are vital to understanding the oceans role in controlling climate, could be determined. The project also put into context the various timeseries of observations that have been compiled from local regions which suggest that important changes in ocean circulation and transports have been ongoing in the past decades. These timeseries have been put into a basin scale and global scale context of ongoing change. The program determined the relationship between hydrographic signals in different parts of the ocean basins (particularly the N Atlantic). The program provided a method for assimilating data from the thermohaline monitoring arrays into an ocean model that could then be used as part of a coupled climate model for multi-annual climate prediction.\r\n\r\nRapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n" } ], "responsiblepartyinfo_set": [ 51171, 28942, 28941, 28944, 28945, 28946, 28947, 28943, 72467 ], "onlineresource_set": [] }, { "ob_id": 6743, "uuid": "4302f663e9a3c44d39e008ee2538401a", "title": "QESDI: Global Population Distribution Database (Li, 1996)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset contains global Population Distribution (1990), Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-10-28T12:53:06", "updateFrequency": "", "dataLineage": "Data generated from CDIAC DB1016 (8-1996)", "removedDataReason": "", "keywords": "QUEST, QESDI, population", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T19:55:10", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6744, "dataPath": "/badc/quest/data/qesdi/population/globpop_li1990", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 263764, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4998, "startTime": "1990-01-01T00:00:00", "endTime": "1990-12-31T23:59:59" }, "resultQuality": { "ob_id": 1779, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19069, "uuid": "f77357f8bac24338945e505812aaa490", "short_code": "comp", "title": "Global Population Distribution (1990)", "abstract": "Global Population Distribution (1990), Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis" }, "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": 6747, "uuid": "6ae6e6ad2cae120358f5fd111d6496af", "short_code": "proj", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 7762, 7763, 9224 ], "vocabularyKeywords": [], "identifier_set": [ 4438 ], "observationcollection_set": [ { "ob_id": 6742, "uuid": "50d3bcfabff933e00e707f219723f3ad", "short_code": "coll", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets." } ], "responsiblepartyinfo_set": [ 28955, 28954, 28957, 28958, 28959, 71781, 71782, 28956 ], "onlineresource_set": [ 3133, 15071 ] }, { "ob_id": 6745, "uuid": "704a8a960867395ef94935e4e994c1a2", "title": "QESDI: Ecosystem map", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset contains a map of a ecosystem.\r\n\r\nThis map depicts the 825 terrestrial ecoregions of the globe. Ecoregions are relatively large units of land contain ing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. This comprehensive, global map provides a useful framework for conducting biogeographical or macroecological research, for identifying areas of outstanding biodiversity and conse rvation priority, for assessing the representation and gaps in conservation efforts worldwide, and for communicating the global distribution of natural communities on earth.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-06-24T09:30:24", "updateFrequency": "", "dataLineage": "Data delivered to the BADC and converted to netcdf using IDL", "removedDataReason": "", "keywords": "QUEST, QESDI, ecosystems, map", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-11-13T15:48:05", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6746, "dataPath": "/badc/quest/data/qesdi/wwf_ecosystem", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2155915, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4997, "startTime": "2000-01-01T00:00:00", "endTime": "2006-12-31T23:59:59" }, "resultQuality": { "ob_id": 1780, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6749, "uuid": "a46931ea780248d495fa46382d0d9884", "short_code": "cmppr", "title": "Composite Process for: QUEST qesdi_biodiversity_olson", "abstract": "This process is comprised of multiple procedures: 1. Computation: World Wildlife Fund Wildworld program deployed on World Wildlife Fund; \n" }, "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": 6747, "uuid": "6ae6e6ad2cae120358f5fd111d6496af", "short_code": "proj", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50512, 51186, 51187, 89713, 89714 ], "vocabularyKeywords": [], "identifier_set": [ 4439 ], "observationcollection_set": [ { "ob_id": 6742, "uuid": "50d3bcfabff933e00e707f219723f3ad", "short_code": "coll", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets." } ], "responsiblepartyinfo_set": [ 28961, 28960, 28966, 28963, 28964, 28965, 71780, 28962 ], "onlineresource_set": [] }, { "ob_id": 6750, "uuid": "6d02f556f6941a050d2c52ad5ad9f4b0", "title": "QESDI: MODIS land cover classification data", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset contains MODIS land cover classification data.\r\n\r\nThe MODIS Land Cover Type product contains multiple classification schemes, which describe land cover properties derived from observations spanning a year's input of Terra and Aqua data. The primary land cover scheme identifies 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP), which includes 11 natural vegetation classes, 3 developed and mosaicked land classes, and three non-vegetated land classes. The MODIS Terra + Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid product incorporates five different land cover classification schemes, derived through a supervised decision-tree classification method:\r\n\r\n* Land Cover Type 1: IGBP global vegetation classification scheme\r\n* Land Cover Type 2: University of Maryland (UMD) scheme\r\n* Land Cover Type 3: MODIS-derived LAI/fPAR scheme\r\n* Land Cover Type 4: MODIS-derived Net Primary Production (NPP) scheme\r\n* Land Cover Type 5: Plant Functional Type (PFT) scheme\r\n\r\nThe dataset stored here has been aggregated onto a 10 arc minute grid by Jose Gomez-Dans, working within the QUEST FIREMAFS project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T21:58:24", "updateFrequency": "", "dataLineage": "Data created from MODIS_classification_IGBP.tiff", "removedDataReason": "", "keywords": "QUEST, QESDI, Land cover, Modis", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-08-25T10:57:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6751, "dataPath": "/badc/quest/data/qesdi/external/modis", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 29400733674, "numberOfFiles": 639, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1973, "startTime": "2007-01-01T00:00:00", "endTime": "2007-12-31T23:59:59" }, "resultQuality": { "ob_id": 1781, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 6755, "uuid": "c72f1c4d7b0b4fdaa2593be4b864dd8e", "short_code": "cmppr", "title": "Composite Process for: QUEST - QESDI MODIS MCD12Q1 10min landcover classification", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: QUEST - QESDI MODIS MCD12Q1 10min landcover classification; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-TERRA; \n" }, "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": 6747, "uuid": "6ae6e6ad2cae120358f5fd111d6496af", "short_code": "proj", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 51186, 51187, 91590, 91591, 91592, 91593, 91594, 91595, 91596, 91597, 91598, 91599, 91600, 91601, 91602, 91603, 91604, 91605, 91606 ], "vocabularyKeywords": [], "identifier_set": [ 4445 ], "observationcollection_set": [ { "ob_id": 6742, "uuid": "50d3bcfabff933e00e707f219723f3ad", "short_code": "coll", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets." } ], "responsiblepartyinfo_set": [ 28972, 28971, 28977, 71798, 28976, 28974, 28975, 28973 ], "onlineresource_set": [ 3136 ] }, { "ob_id": 6756, "uuid": "6cd2e72a66f3f2aa10abab1b5d9f0e48", "title": "QESDI: IPCC SRES socio-economic scenarios", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset contains socio-economic scenarios from the IPCC SRES report.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:58:56", "updateFrequency": "", "dataLineage": "Data delivered to the BADC from the IPCC.", "removedDataReason": "", "keywords": "QUEST, QESDI, socio-economic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T20:00:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 6757, "dataPath": "/badc/quest/data/qesdi/sres_socioeconomic", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 86548, "numberOfFiles": 2, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 4996, "startTime": "1990-01-01T00:00:00", "endTime": "2100-01-01T23:59:59" }, "resultQuality": { "ob_id": 1782, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "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": 6747, "uuid": "6ae6e6ad2cae120358f5fd111d6496af", "short_code": "proj", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.\r\n\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 10749, 10750, 50512, 57491, 57492, 57493, 57494, 57495, 57496, 57497, 57498, 57499, 57500, 57501, 57502, 57503, 57504, 57505, 57506, 57507, 57508, 57509, 57510, 57511, 57512, 57513, 57514, 57515, 57516, 57517, 57518, 57519, 57520, 57521, 57522, 57523, 57524, 57525, 57526, 57527, 57528, 57529, 57530 ], "vocabularyKeywords": [], "identifier_set": [ 4447 ], "observationcollection_set": [ { "ob_id": 6742, "uuid": "50d3bcfabff933e00e707f219723f3ad", "short_code": "coll", "title": "QUEST Earth System Data Initiative (QESDI)", "abstract": "QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community.\r\n\r\nThis dataset collection contains climatology, soil. population, ecosystem and land cover data.\r\n\r\nTo facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets." } ], "responsiblepartyinfo_set": [ 28980, 28981, 28986, 28983, 28984, 28985, 71779, 28982 ], "onlineresource_set": [] }, { "ob_id": 6759, "uuid": "ad2828e7db3436964ed900d8974bd2e8", "title": "Processed ATSR-2/AATSR data for the production of GRAPE (1995-2009)", "abstract": "The aim of the GRAPE project was to produce a global cloud and aerosol dataset using a state-of-the-art physical retrieval of the entire duration of the Along Track Scanning Radiometer 2 (ATSR-2) mission (aboard ERS-2). This dataset will be compared and contrasted with existing climatologies (based on different instruments and very different retrieval algorithms). The GRAPE project was initially funded through the Clouds, Water Vapour and Climate (CWVC) Programme, a five-year NERC directed research programme. The dataset has been developed further within the National Centre for Earth Observation (NCEO) and now includes data from the Advanced Along Track Scanning Radiometer (AATSR). The GRAPE dataset contains cloud optical depth, aerosol optical depth (cloud free), cloud phase, cloud particle size, cloud top pressure, cloud fraction and cloud ice/water path along with associated error measurements. 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