Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=800
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=900", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=700", "results": [ { "ob_id": 6871, "uuid": "df112527628d094570f42950d62ce9f2", "title": "CCMVal-1: PMOD/WRC and ETHZ SOCOL model contribution to the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains SOCOL model output from the WMO 2006 REF2 experiment run by the Physikalisch-Meteorologisches Observatorium Davos (PMOD/WRC) and Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-11-01T09:44:34", "updateFrequency": "notPlanned", "dataLineage": "CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.", "removedDataReason": "", "keywords": "CCMVal, climate, model, CCM's, GCM's", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T14:30:27", "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": 6872, "dataPath": "/badc/ccmval/data/CCMVal-1/WMO2006_RUNS/REF2/SOCOL", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 163357012, "numberOfFiles": 16, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 4985, "startTime": "1980-01-01T00:00:00", "endTime": "2050-12-31T23:59:59" }, "resultQuality": { "ob_id": 1829, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19043, "uuid": "6876770d93ee486a81d960261b47a77b", "short_code": "comp", "title": "PMOD/WRC and ETHZ, Switzerland SOCOL model", "abstract": "PMOD/WRC and ETHZ, Switzerland SOCOL model" }, "procedureCompositeProcess": null, "imageDetails": [ 106 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2546, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11970, "uuid": "388bce4c47f94dcfbac2898a86118f8f", "short_code": "proj", "title": "Chemistry-Climate Model Validation Activity (CCMVal)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal was to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.\r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4505 ], "observationcollection_set": [ { "ob_id": 6804, "uuid": "7603d895ebf0fbf6fb41a5edacbce575", "short_code": "coll", "title": "CCMVal-1 (Chemistry Climate Model Validation Activity 1) coupled chemistry climate models outputs", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset collection contains atmospheric chemical model feedback from research centres around the world.\r\n\r\nCCMVal was part of the World Climate Research Programme's (WCRP), which mission is to facilitate analysis and prediction of Earth system variability and change for use in an increasing range of practical applications of direct relevance, benefit and value to society. \r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.\r\n" } ], "responsiblepartyinfo_set": [ 29377, 29376, 29379, 29380, 29381, 29382, 71662, 29378 ], "onlineresource_set": [ 15013 ] }, { "ob_id": 6873, "uuid": "fbd5ae9ed2e56713b973ac1600196738", "title": "CCMVal-1: University of L'Aquila ULAQ model output contribution to the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains ULAQ model output from the WMO 2006 REF2 experiment run by the University of L'Aquila, Italy.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-08-25T12:38:59", "updateFrequency": "notPlanned", "dataLineage": "CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.", "removedDataReason": "", "keywords": "CCMVal, climate, model, CCM's, GCM's", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T14:41:07", "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": 6874, "dataPath": "/badc/ccmval/data/CCMVal-1/WMO2006_RUNS/REF2/ULAQ", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 594265746, "numberOfFiles": 45, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 4985, "startTime": "1980-01-01T00:00:00", "endTime": "2050-12-31T23:59:59" }, "resultQuality": { "ob_id": 1830, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19042, "uuid": "b1c1e993c0414c57a8e45bfb8e0d2d94", "short_code": "comp", "title": "University of L'Aquila, Italy ULAQ model", "abstract": "University of L'Aquila, Italy ULAQ model" }, "procedureCompositeProcess": null, "imageDetails": [ 106 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2546, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11970, "uuid": "388bce4c47f94dcfbac2898a86118f8f", "short_code": "proj", "title": "Chemistry-Climate Model Validation Activity (CCMVal)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal was to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.\r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4506 ], "observationcollection_set": [ { "ob_id": 6804, "uuid": "7603d895ebf0fbf6fb41a5edacbce575", "short_code": "coll", "title": "CCMVal-1 (Chemistry Climate Model Validation Activity 1) coupled chemistry climate models outputs", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset collection contains atmospheric chemical model feedback from research centres around the world.\r\n\r\nCCMVal was part of the World Climate Research Programme's (WCRP), which mission is to facilitate analysis and prediction of Earth system variability and change for use in an increasing range of practical applications of direct relevance, benefit and value to society. \r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.\r\n" } ], "responsiblepartyinfo_set": [ 29384, 29383, 29386, 29387, 29388, 29389, 71660, 29385, 71661 ], "onlineresource_set": [ 15012 ] }, { "ob_id": 6875, "uuid": "85848d8879bf9aea8b08aa24c97c0850", "title": "CCMVal-1: University of Leeds UMSLIMCAT model output contribution to the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains UMSLIMCAT model output from the WMO 2006 REF2 experiment run by the University of Leeds.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-11-14T15:22:36", "updateFrequency": "notPlanned", "dataLineage": "CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.", "removedDataReason": "", "keywords": "CCMVal, climate, model, CCM's, GCM's", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T14:46:57", "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": 6876, "dataPath": "/badc/ccmval/data/CCMVal-1/WMO2006_RUNS/REF2/UMSLIMCAT", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 358561802, "numberOfFiles": 53, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 4984, "startTime": "1980-01-01T00:00:00", "endTime": "2020-12-31T23:59:59" }, "resultQuality": { "ob_id": 1831, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 2754, "uuid": "d71e8bb4561f4b0ba48d37e21f7717ef", "short_code": "comp", "title": "SLIMCAT model deployed on Leeds computer", "abstract": "SLIMCAT model deployed on Leeds computer. SLIMCAT was a three-dimensional (3D) off-line chemical transport model (CTM). The model used winds and temperatures from meteorological analyses (e.g. from the UK Met Office or ECMWF) to specify the atmospheric transport and temperatures and calculates the abundances of chemical species in the troposphere and stratosphere. The model had the option of detailed chemical scheme(s) for the stratosphere and troposphere. \r\n\r\nThe model can be used to simulate the past and current atmosphere, help interpret observations, and to diagnose the extent of problems such as stratospheric ozone depletion or tropospheric pollution. This model was developed at the University of Leeds, UK.\r\n\r\n== Introduction ==\r\n\r\nAround 1995 Martyn Chipperfield (University of Leeds) wrote SLIMCAT. This was a stratosphere-only version of TOMCAT formulated on isentropic levels. At this time TOMCAT became a 'tropospheric' model and various people in Cambridge helped to add treatments of e.g. convection, boundary layer mixing, and tropospheric chemistry. Recently, SLIMCAT has been extended downwards to include the troposphere. As the two former models were so similar, it made maintenance/development easier to merge TOMCAT and SLIMCAT into a single library with a choice of vertical coordinate (and other things), so that one model covers all of the applications. Depending on the coordinate use, the model is still referred to as TOMCAT or SLIMCAT.\r\n\r\n=== Key Details ===\r\n\r\n - Variable resolution. Typical resolutions are 5 x 5 degrees for multiannual runs to up to 1 x 1 degree.\r\n - Forced by meteorological analyses, usually ECMWF and sometimes UKMO.\r\n -Options of detailed stratospheric or tropospheric chemistry schemes.\r\n- Written in Fortran (f77, f90). Runs on most platforms (including vector machines). Parallelised using OpenMP and MPI.\r\n" }, "procedureCompositeProcess": null, "imageDetails": [ 106 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2546, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11970, "uuid": "388bce4c47f94dcfbac2898a86118f8f", "short_code": "proj", "title": "Chemistry-Climate Model Validation Activity (CCMVal)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal was to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.\r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4507 ], "observationcollection_set": [ { "ob_id": 6804, "uuid": "7603d895ebf0fbf6fb41a5edacbce575", "short_code": "coll", "title": "CCMVal-1 (Chemistry Climate Model Validation Activity 1) coupled chemistry climate models outputs", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset collection contains atmospheric chemical model feedback from research centres around the world.\r\n\r\nCCMVal was part of the World Climate Research Programme's (WCRP), which mission is to facilitate analysis and prediction of Earth system variability and change for use in an increasing range of practical applications of direct relevance, benefit and value to society. \r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.\r\n" }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 29391, 29390, 29393, 29394, 29395, 29396, 71658, 29392, 71659 ], "onlineresource_set": [ 3200, 15011 ] }, { "ob_id": 6877, "uuid": "b04a6712dbb020fa35e2dc9fb716344b", "title": "CCMVal-1: National Center for Atmospheric Research WACCM model output contribution to the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains WACCM model output from the WMO 2006 REF2 experiment run by the National Center for Atmospheric Research (NCAR).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-03-20T15:00:34", "updateFrequency": "notPlanned", "dataLineage": "CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.", "removedDataReason": "", "keywords": "CCMVal, climate, model, CCM's, GCM's", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T14:53:25", "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": 6878, "dataPath": "/badc/ccmval/data/CCMVal-1/WMO2006_RUNS/REF2/WACCM", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59039223098, "numberOfFiles": 370, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 4983, "startTime": "1980-01-01T00:00:00", "endTime": "2050-12-31T23:59:59" }, "resultQuality": { "ob_id": 1832, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19041, "uuid": "86286b6bde1a47828b2c2befae75cf7c", "short_code": "comp", "title": "National Center for Atmospheric Research WACCM model output", "abstract": "National Center for Atmospheric Research WACCM model output" }, "procedureCompositeProcess": null, "imageDetails": [ 106 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2546, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 11970, "uuid": "388bce4c47f94dcfbac2898a86118f8f", "short_code": "proj", "title": "Chemistry-Climate Model Validation Activity (CCMVal)", "abstract": "SPARC has established the Chemistry-Climate Model Validation Activity (CCMVal) for coupled chemistry-climate models (CCMs). The goal of CCMVal was to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results.\r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4508 ], "observationcollection_set": [ { "ob_id": 6804, "uuid": "7603d895ebf0fbf6fb41a5edacbce575", "short_code": "coll", "title": "CCMVal-1 (Chemistry Climate Model Validation Activity 1) coupled chemistry climate models outputs", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset collection contains atmospheric chemical model feedback from research centres around the world.\r\n\r\nCCMVal was part of the World Climate Research Programme's (WCRP), which mission is to facilitate analysis and prediction of Earth system variability and change for use in an increasing range of practical applications of direct relevance, benefit and value to society. \r\n\r\nThis project was coordinated by SPARC (Stratosphere-troposphere Processes And their Role in Climate) as a core project of the World Climate Research Programme.\r\n" } ], "responsiblepartyinfo_set": [ 29398, 29397, 29400, 29401, 29402, 29403, 71656, 29399, 71657 ], "onlineresource_set": [ 15010 ] }, { "ob_id": 6879, "uuid": "cd1d7a0098ff7cecc381de930b8c17b7", "title": "CCMVal-1: Met Office HadGEM SSTs (Sea Surface Temperatures) for the WMO 2006 REF2 experiment", "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains HadGEM SSTs model outputs from the WMO 2006 REF2 experiment run by the Met Office.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-03-31T10:06:02", "updateFrequency": "notPlanned", "dataLineage": "CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.", "removedDataReason": "", "keywords": "CCMVal, climate, model, CCM's, GCM's", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T14:57:40", "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": 6880, "dataPath": "/badc/ccmval/data/CCMVal-1/WMO2006_RUNS/REF2/SSTs", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 343742090, "numberOfFiles": 37, "fileFormat": null }, "timePeriod": { "ob_id": 4992, "startTime": "1969-12-31T23:00:00", "endTime": "2099-12-31T23:59:59" }, "resultQuality": { "ob_id": 1833, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6231, "uuid": "3aa6d4822fa64270a2cff8015e0f8ddf", "short_code": "comp", "title": "Hadley Centre Global Environmental Model version 1 (HadGEM1) deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: Hadley Centre Global Environmental Model version 1 (HadGEM1) deployed on Met Office Hadley Centre Computers. It is the first global earth system model from the Met Office Hadley Centre. 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Software, reports and recommendations to urban planners have also been issued.\r\n\r\nThe thematic programme began in 1998 and lasted for 7 years. \r\n\r\nURGENT - Observation, Modelling And Management Of Urban Air Pollution (PUMA COnsortium - PUMACO) was a NERC Urban Regeneration and the Environment (URGENT) Air project (GST/02/1981 - Duration: 1/01/1998 - 30/09/2001) led by Prof. Roy M. Harrison, University of Birmingham.\r\n\r\nThe objectives of this project were:\r\n\r\n-To apply a high spatial resolution meso-scale meteorological model to the West Midlands. This was the first of its kind in the UK.\r\n-To add a coupled dispersion and atmospheric chemistry model, capable of predicting both primary and secondary air pollutant concentrations at urban background locations across the conurbation with a horizontal resolution of about 2km and a vertical resolution as low as 25m. The model were validated against high quality measurements of primary pollutants such as carbon monoxide, sulphur dioxide and NOX, as well as secondary pollutants including nitrogen dioxide, ozone and secondary inorganic particulate matter. It was compared with an existing model (UAM).\r\n-To make measurements of concentrations of a wide range of both long-lived and transient chemical species including hydrocarbons, carbonyl compounds, oxyacids of nitrogen and the free radical species OH, HO2, RO2 and NO3, which play a key role in atmospheric chemistry.\r\n-To validate the atmospheric chemical reaction mechanisms within the model in a depth not previously attempted.\r\n-To gain insights into the chemical processes controlling the composition of the urban atmosphere at a very fundamental level.\r\n-To produce a management model applicable for national and local government to predict the impact on air quality of specific control strategies for a wide range of criteria pollutants and on a range of timescales (minutes to years).\r\n\r\nThis project was seeking to apply and validate a well accepted meso-scale meteorological model (the Colorado State University RAMS model) coupled with a very detailed chemical scheme within a Lagrangian particle dispersion model. \r\n\r\nA dozen of urban and suburban sites in and around the West Midlands County (UK) were chosen for the project. The principal urban site was Pritchatts Road, Birmingham City. Peripheric sites included Halfpenny Green Airport (West of Birmingham) and Withybrook Equestrian Centre (East of Birmingham). The field campaigns ran from 11 June - 13 July 1999 and 17 January - 17 February 2000. A variety of observation platforms were used. They included two ambulant laboratories (Birmingham and Leeds teams), a pollution monitoring van and a 10 m high tower allowing measurements to be made at a height of 5 or 10 metres. Most observations were made when the platform was stationary but some data were collected while driving (peripheric sites)." } ], "responsiblepartyinfo_set": [ 29957, 29963, 29956, 29959, 29960, 29961, 55160, 29958, 54693, 55161, 55162, 55163, 55164, 55165 ], "onlineresource_set": [] }, { "ob_id": 7216, "uuid": "dc098b9eb42b4331a3e6382db760fc9f", "title": "Met Office Unified Model (UM) Operational Output: Ancillary data", "abstract": "Data from the operational NWP (Numerical Weather Prediction) output from the Met Office Unified Model. These data are from both the Global and the North Atlantic European (NAE) part of the model. The NAE model runs on a grid centred around the UK. Analyses and intermediate forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive only holds data to January 2012. A new NWP archive is being populated with data from January 2012.\r\n\r\nAncillary files exist for each standard Unified Model domain and are available for general use. Most of these files have been interpolated from raw data at 1 degree resolution, though those for orography and land-sea mask are from global 10 minute data or higher resolution data for certain parts on the world.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-28T10:08:05", "updateFrequency": "notPlanned", "dataLineage": "Data provided by the UK Met Office for archiving at the BADC. Following data transfer issues between the Met Office and the BADC, the Met Office NWP data updates were suspended on 18th January 2012. Archive was closed down.", "removedDataReason": "Data has been removed as it is no longer in use.", "keywords": "ATMOSPHERIC WINDS ATMOSPHERE ATMOSPHERIC TEMPERATURE ATMOSPHERIC WATERVAPOR ATMOSPHERIC PRESSURE", "publicationState": "removed", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "retired", "dataPublishedTime": "2016-04-14T08:25:42", "doiPublishedTime": null, "removedDataTime": "2019-05-15T08:25:41", "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13534, "dataPath": "/badc/ukmo-um/data/ancillary/UMCAP/master", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 956, "numberOfFiles": 1, "fileFormat": "Data are pp formatted stored as binary files." }, "timePeriod": { "ob_id": 2079, "startTime": "1992-01-01T00:00:00", "endTime": "2012-01-01T00:00:00" }, "resultQuality": { "ob_id": 1928, "explanation": "operational NWP output from the Unified Model.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 1045, "uuid": "1f9b9fa8e13742318a682c87b27e9c63", "short_code": "comp", "title": "Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter)", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Met Office supercomputer (Exeter)." }, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2667, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 101, "licenceURL": "https://creativecommons.org/licenses/by-nc-sa/4.0/", "licenceClassifications": [ { "ob_id": 6, "classification": "personal" }, { "ob_id": 4, "classification": "academic" }, { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 555, "uuid": "f46cfa4784fb454e105f336981f1a82b", "short_code": "proj", "title": "Met Office Numerical Weather Prediction (NWP) System", "abstract": "All forecasts, of whatever type, are ultimately based on the predictions from the Met Office suite of sophisticated atmospheric and oceanic models, run on their powerful supercomputer. This form of forecasting is known as numerical weather prediction (NWP). Numerical weather prediction (NWP) is the process of obtaining an objective forecast of the future state of the atmosphere by running a computer model. The Met Office Unified Model is run operationally, in a number of configurations, for weather forecasting at the Met Office." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13197, 13200, 21769, 21824, 22320, 22321, 22390, 22864, 22876, 25384, 25388, 25393, 25857, 25859, 25912 ], "vocabularyKeywords": [], "identifier_set": [ 4687 ], "observationcollection_set": [ { "ob_id": 7215, "uuid": "104e586395d1cc4af88f5b69d5501745", "short_code": "coll", "title": "Met Office Unified Model (UM) Operational Output (October 2000 - January 2012)", "abstract": "The Unified Model is the name given to the suite of atmospheric and oceanic numerical modelling software developed and used at the Met Office. The formulation of the model supports global and regional domains and is applicable to a wide range of temporal and spatial scales that allow it to be used for both numerical weather prediction and climate modelling as well as a variety of related research activities. The Unified Model was introduced into operational service in 1991. Since then, both its formulation and capabilities have been substantially enhanced.\r\n\r\nData from the operational NWP (Numerical Weather Prediction) output from the Met Office Unified Model. These data are from both the Global and the North Atlantic European (NAE) part of the model. The NAE model runs on a grid centred around the UK. Analyses and intermediate forecast steps are stored to give an hourly time resolution for 6 hours following each analysis time-step. This archive only holds data to January 2012. A new NWP archive is being populated with data from January 2012. The dataset starts on 23 October 2000, and is ongoing. Around 1.6Gb of data are stored for each day.\r\n\r\nAnalysis fields at 0,6,12,18Z are stored, along with all of the forecast fields from 1-6 hours from each analysis time.\r\n\r\nMesoscale : lb[a,f][m,p]yyyymmddhh_STASHCODE_fh.pp\r\n\r\nGlobal: ag[a,f][m,p]yyyymmddhh_STASHCODE_fh.pp\r\n\r\nwhere yyyymmddhh is the year, month,day and assimilation time, STASHCODE is the STASHMASTER parameter code, fh is the forecast timestep (from the assimilation time), and pp indicates that the files are in binary \"pp\" format.\r\n\r\nThe directory structure has also been changed to bring it in line with the BADC ECMWF holdings. The mesoscale files and global data are now stored under:\r\n/badc/ukmo-um/data/meso/lb/a[m,p] for the analysis fields\r\n/badc/ukmo-um/data/meso/lb/f[m,p] for the forecast fields\r\n/badc/ukmo-um/data/global/ag/a[m,p] for the analysis fields\r\n/badc/ukmo-um/data/global/ag/f[m,p] for the forecast fields\r\nPre-2004 data are still available in the old format under /badc/ukmo-um/data/mesocale/[sm,mm] and /badc/ukmo-um/data/global/[mg,sg], although these will be phased out as the data are archived in the newer format.\r\n" } ], "responsiblepartyinfo_set": [ 30362, 30367, 30361, 30364, 30365, 30366, 30368, 30363, 55428, 55429, 168747 ], "onlineresource_set": [ 7957 ] }, { "ob_id": 7219, "uuid": "53c9dd51b883900b51cc2a11d4792212", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): species profiles, version 6.10", "abstract": "Species profiles (SPEC files) and revision information (INDEX) from the Stratospheric Aerosol and Gas Experiment II (SAGE II), an instrument on board the Earth Radiation Budget Satellite (ERBS) which used the solar occultation technique to measure global profiles of aerosol extinction, temperature, ozone, nitrogen dioxide and water vapour in the stratosphere and upper troposphere. Version 1 of the data consist of monthly mean global image maps and associated gridded data for the period 1985-1993. Version 6.1 contains INDEX and SPEC files for the period October 1984 to July 2000 and was superseded by version 6.2, available for the period October 1984 to August 2005. Access to this dataset is partially restricted.\r\n\r\nSpecies information includes aerosol extinction profiles at 1020, 525, 453, and 385 nanometers, number density profiles of ozone and nitrogen dioxide, plus molecular density and mixing ratio profiles of water vapour. It also includes aerosol surface area density and effective radius profiles, and retrieved molecular density for the middle atmosphere (40-75 km). All profiles are at 0.5-km vertical resolution. These products are nearly global in coverage, with data spanning from 80 North to 80 South.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-08-11T10:22:22", "updateFrequency": "notPlanned", "dataLineage": "Data obtained by the SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor on-board the Earth Radiation Budget Satellite (ERBS), an supplied to the BADC where they are stored.", "removedDataReason": "", "keywords": "SAGE II, occultation, profiles, chemistry, temperature, ozone", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-13T01:01:56", "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": 7220, "dataPath": "/badc/sage2/data/v6.10/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1271662891, "numberOfFiles": 382, "fileFormat": "The files are unformatted (native format) binary files written on a DEC Alpha by a program compiled using the DIGITAL Fortran 90 V5.2-705 compiler. The data consists of two and four byte little endian integers and single and double precision little endian IEEE floating point data. Refer to the linked documentation and software provided to read these data." }, "timePeriod": { "ob_id": 2080, "startTime": "1984-09-30T23:00:00", "endTime": "2005-08-30T23:00:00" }, "resultQuality": { "ob_id": 1929, "explanation": "Version 6.2 corrected some issues with version 6.1. For further details see http://www-sage2.larc.nasa.gov/", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7222, "uuid": "40a9cb5542fc47b88178add6ea5074e9", "short_code": "cmppr", "title": "Composite Process for: Data from Stratospheric Aerosol and Gas Experiment II (SAGE II) at Earth Radiation Budget Satellite (ERBS) for the NASA Earth Observing System (EOS) Program", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Stratospheric Aerosol and Gas Experiment II (SAGE II) at Earth Radiation Budget Satellite (ERBS) for the NASA Earth Observing System (EOS) Program ; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Earth Radiation Budget Satellite (ERBS); \r\n" }, "imageDetails": [ 108 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2618, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "sage2", "label": "restricted: sage2 group", "licence": { "ob_id": 74, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/langley.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19710, "uuid": "94d45555fd634aa6a03884e7a27a27e7", "short_code": "proj", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II)", "abstract": "The SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor was launched into a 57 degree inclination orbit aboard the Earth Radiation Budget Satellite (ERBS) in October 1984. During each sunrise and sunset encountered by the orbiting spacecraft, the instrument used the solar occultation technique to measure attenuated solar radiation through the Earth's limb in seven channels centered at wavelengths ranging from 0.385 to 1.02 micrometers and to measure stratospheric aerosols, ozone, nitrogen dioxide, and water vapor. \r\n\r\nThe data SAGE II collected were integral to confirming human-driven changes to ozone, and thus contributed to the 1987 Montreal Protocol that banned certain harmful chemicals. SAGE II observations helped to confirm that ozone ceased decreasing in response to this action.\r\n\r\nMajor results from SAGE II include illustrations of the stratospheric impact of the 1991 Mount Pinatubo eruption, identification of a negative global trend in lower stratospheric ozone during the 1980s, and quantitative verification of the positive water vapor feedback in current climate models.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13197, 21771, 21778, 21824, 22337, 22338, 22452, 22453, 25383, 25386, 25388, 25393, 25394, 25403, 25890 ], "vocabularyKeywords": [], "identifier_set": [ 4693 ], "observationcollection_set": [ { "ob_id": 7218, "uuid": "bd5e5f99d8f789324698379efba64502", "short_code": "coll", "title": "Stratospheric Aerosol and Gas Experiment II (SAGE II): Global Profiles of Aerosol Extinction, Temperature, Ozone, Nitrogen Dioxide and Water Vapour", "abstract": "The SAGE II (Stratospheric Aerosol and Gas Experiment II) sensor was launched into a 57 degree inclination orbit aboard the Earth Radiation Budget Satellite (ERBS) in October 1984. During each sunrise and sunset encountered by the orbiting spacecraft, the instrument used the solar occultation technique to measure attenuated solar radiation through the Earth's limb in seven channels centered at wavelengths ranging from 0.385 to 1.02 micrometers.\r\n\r\nVersion 6.1 data are available from October 1984 through July 2000, in the form of index files and spec files, with software to assist processing in IDL. Version 6.2 data continue through to August 2005. The update from 6.1 to 6.2 rectifies an altitude registration problem, and there is an improvement to the water vapour product. More information about the data is available from the SAGE II web site of the NASA Langley Research Center.\r\n\r\nVersion 1 contained SAGE II monthly mean global colour image maps and the relevant gridded data for aerosol extinction at 1020 nm, 525 nm, 453 nm and 385 nm wavelength, ozone mixing ratio, water vapour mixing ratio and relative humidity, nitrogen dioxide mixing ratio at up 14 pressure levels, for the period January 1985 to December 1993.\r\n\r\nAs the original SAGE II measurements were made at geometrical heights, meteorological data from the National Meteorological Center (NMC) were used to determine the actual pressure heights for the SAGE II profile data and also have been used to calculate the relative humidity. For easy reference, the NMC atmospheric temperature, geometrical altitude and tropopause data used in the determination of SAGE II data are also included. Users of the image/data version 1.0 products need to be aware that these meteorological data are not measured by the SAGE II instrument itself." } ], "responsiblepartyinfo_set": [ 30380, 30385, 30388, 30379, 30383, 30384, 30382, 30381, 50740, 30386, 30387 ], "onlineresource_set": [ 7250, 7251 ] }, { "ob_id": 7224, "uuid": "44ea207df48e328fa56f754fc4fa97ca", "title": "NOAA-CIRES Twentieth Century Reanalysis Project: Ensemble means and spreads for 1891 to present in GRIB format, Version II", "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a Global 2.0 degree latitude x 2.0 degree longitude global grid from 1871 to present produced from a series of 56-member ensemble runs. For each output time step ensemble means and associated spreads have been calculated and form a continuous dataset over the entire timespan of the dataset. The data contain fields at the surface and on pressure levels from 1000 hPa to 10 hPa.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-02T04:38:31", "updateFrequency": "notPlanned", "dataLineage": "The Twentieth Century Reanalysis data were produced by the National Centers for Atmospheric Prediction (NCEP) and archived at the U.S. Department of Energy's National Energy Research Scientific Computing Center (NERSC). The BADC obtained a complete copy of these data as archived at NERSC and have archived the data in the BADC archives splitting the data into the ensemble means with the associated spreads and the ensemble members for each of the runs making up the reanalysis dataset.", "removedDataReason": "", "keywords": "NOAA, CIRES, reanalysis, model, ensemble, means, spread", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-10-16T11:55:41", "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": 7225, "dataPath": "/badc/noaa-20cr-v2/data/grib/means_spreads", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9674078061180, "numberOfFiles": 3300043, "fileFormat": "Data are WMO GRIB1 formatted" }, "timePeriod": { "ob_id": 2081, "startTime": "1871-01-01T00:00:00", "endTime": "2008-12-31T00:00:00" }, "resultQuality": { "ob_id": 1930, "explanation": "All data issues are reported in Compo GP,Whitaker JS, Sardeshmukh PD, Matsui N, Allan RJ, Yin X, Gleason Jr BE, Vose RS, Rutledge G, Bessemoulin P, Br¨onnimann S, Brunet M, Crouthamel RI, Grant AN, Groisman PY, Jones PD, Kruk MC, Kruger AC, Marshall GJ, Maugeri M, Mok HY, Nordli Ø, Ross TF, Trigo RM, Wang XL, Woodruff SD,Worley SJ. 2011. The Twentieth Century Reanalysis Project. Q. J. R. Meteorol. Soc. 137: 1–28. DOI:10.1002/qj.776 . Note: additional surface pressure observations were made available by the Australian Bureau of Meteorology after 1951-1955 run had been initiated. Therefore the 1946-1950 run was extended to the end of 1951 to incorporate these additional data and the data for 1951 should be taken from the 1946-1951 run. The ensemble means and spreads for 1951 from the 1951-1955 run have also been provided in the archive, but have been demarcated to allow the user to distinguish these data from the extended 1946-1951 run used in the means and spreads data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-07-23" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7229, "uuid": "64c829dfaecb4c2cb10c4845a8b1a391", "short_code": "cmppr", "title": "Composite Process for: Ensemble means and spreads from National Oceanic and Atmospheric Administration (NOAA) - Cooperative Institute for Research in Environmental Sciences (CIRES) Twentieth Century Global Reanalysis Version II Dataset in GRIB format", "abstract": "This process is comprised of multiple procedures: 1. Computation: April 2008 experimental version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) deployed on Oak Ridge Leadership Computing Facility's (OLCF) 'Jaguar' system Cray XT5 supercomputer; \n2. Computation: Computation Process for: Ensemble means and spreads from National Oceanic and Atmospheric Administration (NOAA) - Cooperative Institute for Research in Environmental Sciences (CIRES) Twentieth Century Global Reanalysis Version II Dataset in GRIB format; \n" }, "imageDetails": [ 109 ], "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": 7226, "uuid": "e3ea9b785d17b4d97f1b448d7963deef", "short_code": "proj", "title": "NOAA-CIRES Twentieth Century Global Reanalysis Project", "abstract": "The 20th Century Reanalysis (Version 2) Dataset was produced by the National Oceanic and Atmospheric Administration (NOAA) and University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES), members of the international Twentieth Century Reanalysis (20CR) project.\r\n\r\nThe data were produced through international cooperation under the auspices of the international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and working groups of the Global Climate Observing System (GCOS) and the World Climate Research Program (WCRP). The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. The current 20CR output produced spans from 1871 to present with the BADC copy being updated when possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4696 ], "observationcollection_set": [ { "ob_id": 7223, "uuid": "51a90cd5a54a1bd84b18d8b7a839a2df", "short_code": "coll", "title": "NOAA-CIRES: Twentieth Century Global Climate Reanalysis Version II Data", "abstract": "The 20th Century Reanalysis (Version 2) Dataset was produced by the National Oceanic and Atmospheric Administration (NOAA) and University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES), members of the international Twentieth Century Reanalysis (20CR) project. \r\n\r\nThis dataset collection contains twentieth century global climate reanalysis data, including output from each 56 members of the ensemble runs, their means, spreads and input observational data. The reanalysis was performed in various runs, each producing a 5 year period of output data.\r\n\r\nThe data were produced through international cooperation under the auspices of the international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and working groups of the Global Climate Observing System (GCOS) and the World Climate Research Program (WCRP). The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. 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These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\n\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\n\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-05T19:12:37", "updateFrequency": "notPlanned", "dataLineage": "The Twentieth Century Reanalysis data were produced by the National Centers for Atmospheric Prediction (NCEP) and archived at the U.S. Department of Energy's National Energy Research Scientific Computing Center (NERSC). 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The Twentieth Century Reanalysis Project. Q. J. R. Meteorol. Soc. 137: 1–28. DOI:10.1002/qj.776 . Note: additional surface pressure observations were made available by the Australian Bureau of Meteorology after 1951-1955 run had been initiated. Therefore the 1946-1950 run was extended to the end of 1951 to incorporate these additional data and the data for 1951 should be taken from the 1946-1951 run. 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These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T23:14:03", "updateFrequency": "unknown", "dataLineage": "The Twentieth Century Reanalysis data were produced by the National Centers for Atmospheric Prediction (NCEP) and archived at the U.S. Department of Energy's National Energy Research Scientific Computing Center (NERSC). 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The April 2008 experimental version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) was used to generate the 20th Century Reanalysis (Version 2) Project reanalysis dataset.\r\n\r\nFor the production of the reanalysis data from the 20th Century Reanalysis (Version 2) Project the April 2008 experimental version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) on the US Department of Energy's massively parallel system at the National Energy Research Scientific Computing Center.\r\n\r\nFor specific details of the complete suite of physical parameterisations used in the model runs refer to the citation given in the \"Documentation and Links to Further Information and References section\".\r\n\r\nThe Twentieth Century Reanalysis Project used resources of the National Energy Research Scientific Computing Center managed by Lawrence Berkeley National Laboratory and of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which are supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and Contract No. DE-AC05-00OR22725, respectively. Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE) program, and Office of Biological and Environmental Research (BER), and by the National Oceanic and Atmospheric Administration Climate Program Office.\r\n\r\nThe Oak Ridge Leadership Computing Facility's (OLCF) 'Jaguar' Cray XT5 supercomputer system delivers 2.33 petaflop/s (peak) of parallel processing compute with access to 326 terabytes of high-speed memory.\r\n\r\nThe Oak Ridge Leadership Computing Facility (OLCF), part of the US National Center for Computational Sciences, brought its 'Jaguar' system Cray XT5 supercomputer online in 2009, providing access to 2.33 Petaflops/s peak processing power to the research community.\r\n\r\nThe 'Jaguar' system Cray XT5 supercomputer consists of an 84 cabinet quad-core Cray XT4 system and 200 upgraded Cray XT5 cabinets, using six-core processors. 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These are the only records which have the original station metadata and source information and model quality control information on the same record. The 20th Century Reanalysis dataset provides 6 hourly analyses on a Global 2.0 degree latitude x 2.0 degree longitude global grid from 1871 to present produced from a series of 56-member ensemble runs. For each output time step ensemble means and associated spreads have been calculated and form a continuous dataset over the entire timespan of the dataset. 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The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. The current 20CR output produced spans from 1871 to present with the BADC copy being updated when possible." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 4763 ], "observationcollection_set": [ { "ob_id": 7223, "uuid": "51a90cd5a54a1bd84b18d8b7a839a2df", "short_code": "coll", "title": "NOAA-CIRES: Twentieth Century Global Climate Reanalysis Version II Data", "abstract": "The 20th Century Reanalysis (Version 2) Dataset was produced by the National Oceanic and Atmospheric Administration (NOAA) and University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES), members of the international Twentieth Century Reanalysis (20CR) project. \r\n\r\nThis dataset collection contains twentieth century global climate reanalysis data, including output from each 56 members of the ensemble runs, their means, spreads and input observational data. The reanalysis was performed in various runs, each producing a 5 year period of output data.\r\n\r\nThe data were produced through international cooperation under the auspices of the international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and working groups of the Global Climate Observing System (GCOS) and the World Climate Research Program (WCRP). The 20CR project produced comprehensive global atmospheric circulation data spanning from late 19th century to the early 21st century, having only assimilated surface synoptic pressure observations and using observed monthly sea-surface temperature and sea-ice distributions from the HadISST dataset, courtesy of the Met Office Hadley Centre, as boundary conditions. Analyses every 6 hours on a 2 degree grid were produced to give the most likely state of the atmosphere based on a 56 ensemble member runs. Means, spreads and all ensemble members for each time step are available in the dataset archived at the BADC. The current 20CR output produced spans from 1871 to present with the BADC copy being updated when possible." } ], "responsiblepartyinfo_set": [ 30663, 30665, 30666, 30667, 30669, 43044, 43067, 30664, 43066, 43045, 43046, 43047, 43048, 43049, 43050, 43051, 43052, 43053, 43054, 43055, 43056, 43057, 43058, 43059, 43060, 43061, 43062, 43063, 43064, 43065, 44993, 44994, 44995, 44996, 44997, 44998 ], "onlineresource_set": [ 3423 ] }, { "ob_id": 7367, "uuid": "b2ec2f42a3d7f508958e6c6fd9117c8b", "title": "Bodeker Scientific vertical ozone profile - Number Density", "abstract": "Bodeker Scientific produced a global combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. This database is used for assessing or constraining global climate model simulations. 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These are referred to as Tier 0 data. A regression model is fitted to the Tier 0 data at each of 70 pressure/altitude levels. The regression model is of the form:\r\n\r\nOzone(t,lat) = A(t,lat) + Offset and seasonal cycle\r\n B(t,lat) x t + Linear trend\r\n C(t,lat) x EESC(t,AoA) + Age-of-air dependent equivalent effective stratospheric chlorine\r\n D(t,lat) x QBO(t) + Quasi-biennial Oscillation \r\n E(t,lat) x QBOorthog(t) + Orthogonalized QBO\r\n F(t,lat) x ENSO(t) + El-Niño Southern Oscillation \r\n G(t,lat) x Solar(t) + Solar cycle\r\n H(t,lat) x Pinatubo(t) + Mt. Pinatubo volcanic eruption\r\n R(t) Residual\r\n\r\nRegression model fit coefficients are expanded in Fourier series to account for seasonality and in Legendre polynomials in latitude to account for meridional structure in the fit coefficients. 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These data held at CEDA are a copy from Bodeker Scientific taken on November 2012.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-01-21T02:38:00", "updateFrequency": "notPlanned", "dataLineage": "The raw individual ozone data are sourced from the Binary DataBase of Profiles (BDBP).\r\nData files were acquired at BADC from data provider's FTP server in November 2012.", "removedDataReason": "", "keywords": "bodeker scientific, ozone, mixing ratio", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-22T02:10:00", "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": 7370, "dataPath": "/badc/bodeker-scientific-ozone/data/mixing_ratio", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35109065, "numberOfFiles": 11, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 3656, "startTime": "1979-01-01T00:00:00", "endTime": "2007-12-31T00:00:00" }, "resultQuality": { "ob_id": 1985, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13675, "uuid": "6dfaa6f7df744b8899f74ead1caa6aff", "short_code": "comp", "title": "Computation process: Bodeker Scientific vertical ozone profile", "abstract": "Monthly means are calculated from individual ozone measurements extracted from the The Binary Data Base of Profiles (BDBP), several different satellite-instruments and ozonesondes were used. These are referred to as Tier 0 data. A regression model is fitted to the Tier 0 data at each of 70 pressure/altitude levels. The regression model is of the form:\r\n\r\nOzone(t,lat) = A(t,lat) + Offset and seasonal cycle\r\n B(t,lat) x t + Linear trend\r\n C(t,lat) x EESC(t,AoA) + Age-of-air dependent equivalent effective stratospheric chlorine\r\n D(t,lat) x QBO(t) + Quasi-biennial Oscillation \r\n E(t,lat) x QBOorthog(t) + Orthogonalized QBO\r\n F(t,lat) x ENSO(t) + El-Niño Southern Oscillation \r\n G(t,lat) x Solar(t) + Solar cycle\r\n H(t,lat) x Pinatubo(t) + Mt. Pinatubo volcanic eruption\r\n R(t) Residual\r\n\r\nRegression model fit coefficients are expanded in Fourier series to account for seasonality and in Legendre polynomials in latitude to account for meridional structure in the fit coefficients. 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The company contracts to local research organisations as well as to international research organisations such as the German Weather Service and the National Oceanic and Atmospheric Administration (NOAA, USA)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50415, 54634, 54635, 54636, 60438 ], "vocabularyKeywords": [], "identifier_set": [ 4796, 8601 ], "observationcollection_set": [ { "ob_id": 7366, "uuid": "9a2438602c2b534f54d81e54b9d98d75", "short_code": "coll", "title": "Bodeker Scientific Global Vertically Resolved Ozone Database", "abstract": "Bodeker Scientific produced a global combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. This database is used for assessing or constraining global climate model simulations. 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All values are anomalies relative to the monthly 1966-95 climatology.\r\n\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-09T12:21:54", "updateFrequency": "notPlanned", "dataLineage": "Data files acquired as is from the Met Office Hadley centre, are stored at the BADC.\r\n", "removedDataReason": "", "keywords": "Met Office, HADAT, radiosonde, temperature anomalies, Hadley", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "10 deg longitude by 5 deg latitude", "status": "completed", "dataPublishedTime": "2013-04-16T16:25:29", "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": 7373, "dataPath": "/badc/ukmo-hadat/data/HadAT0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 230985825, "numberOfFiles": 19, "fileFormat": "The data are available in ASCII and NetCDF format" }, "timePeriod": { "ob_id": 3710, "startTime": "1958-01-01T00:00:00", "endTime": "2002-12-31T00:00:00" }, "resultQuality": { "ob_id": 1986, "explanation": "Data quality controlled by the Met Office (as per dataset documentation provided).", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 11227, "uuid": "8d8eb2329fb94e568928a26ac1f5b8c7", "short_code": "acq", "title": "Acquisition Process for: Radiosonde anomalies from the HadAT radiosonde network (1958-present)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Radiosonde; PLATFORMS: HadAT radiosonde network; \r\n\r\nThe radiosonde network used to produce these data are derived from 676 individual radiosonde stations with long-term records. Because of the criteria of data longevity the resulting dataset is limited to land areas and primarily Northern Hemisphere locations. Radiosondes are single launch instruments and there have been many changes in instruments and observing practices with time. 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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": [ 25877, 51981, 52192, 52193, 57629, 57630, 57631, 57632, 57633, 57634, 57638, 57639, 57649, 70168, 70169 ], "vocabularyKeywords": [], "identifier_set": [ 4799, 8737 ], "observationcollection_set": [ { "ob_id": 7371, "uuid": "1205818e121bd8c12a6029f9cbd11a18", "short_code": "coll", "title": "Met Office Globally gridded radiosonde temperature anomalies HadAT Datasets (1958-2012)", "abstract": "The HadAT data are global radiosonde gridded temperature anomalies at standard levels (850, 700, 500, 300, 200, 150, 100, 50, and 30hPa) in the troposphere and in the lower stratosphere from 1958 to December 2012. This monthly timeseries are available on a 10 degree longitude by 5 degree latitude basis. This dataset supersedes the HadRT dataset. All values are anomalies relative to the monthly 1966-95 climatology.\r\n\r\nThe gridded product is derived from 676 individual radiosonde stations with long-term records. Because of the criteria of data longevity the resulting dataset is limited to land areas and primarily Northern Hemisphere locations. Radiosondes are single launch instruments and there have been many changes in instruments and observing practices with time. HadAT has used a neighbour-based approach to attempt to adjust for these effects and produce a homogeneous product suitable for climate applications.\r\n\r\nZonal averages were created by averaging all available gridbox values in each 5 degree latitude band. Large scale mean timeseries for the globe and the tropics (defined here as 20N to 20S) are simply cos(lat) weighted zonal mean field values. This reduces the spatial sampling bias towards Northern Hemisphere mid-latitudes. Other plausible large-scale averaging techniques would impact the timeseries values calculated. \r\n\r\n Cautionary note from the Met Office Hadley Centre\r\n\r\nIt is important to note that significant uncertainty exists in radiosonde datasets reflecting the large number of choices available to researchers in their construction and the many heterogeneities in the data. To this end we strongly recommend that users consider, in addition to HadAT, the use of one or more of the following products to ensure their research results are robust. Currently, other radiosonde products of climate quality available from other centres for bona fide research purposes are:\r\n\r\n- Radiosonde Atmospheric Temperature Products for Assessing Climate (RATPAC)\r\n- RAdiosonde OBservation COrrection using REanalyses and Radiosonde Innovation Composite Homogenization )\r\n- IUK (Iterative Universal Kriging) Radiosonde Analysis Project \r\n\r\nAlso see a comparison with Microwave Sounding Unit (MSU) data by Remote Sensing Systems (see links under Docs tab below) . " } ], "responsiblepartyinfo_set": [ 30936, 30941, 30935, 30938, 30939, 30940, 30942, 30937, 53142, 55424, 168760 ], "onlineresource_set": [ 8439, 8437, 8834, 8440, 8438 ] }, { "ob_id": 7449, "uuid": "3bee278d54ecee4c771c77d2f064b71e", "title": "QPENSO: picontrol experiment monthly mean ocean and atmosphere model fields measurements", "abstract": "Model simulations undertaken by the Quantifying variability of the El Nino Southern Oscillation on adaptation-relevant time scales using a novel palaeodata-modelling approach (QPENSO) project. These are coupled ocean-atmosphere experiments with a modified version of the HadCM3 (UM version 4.5) climate model. The model has been modified to include stable isotopes of oxygen in both the ocean and atmosphere sub-models, after Tindall et al., 2009. The simulations are grouped into two experiments: 1) 'picontrol', comprising a single 750 year duration unforced pre-industrial boundary condition simulation; 2) 'forced', comprising a suite of six historical simulations of the interval 1160-1360 AD and including changes in solar, volcanic and greenhouse gas forcing. The six simulations represent an initial-condition ensemble over this interval.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-10-09T08:51:53", "updateFrequency": "notPlanned", "dataLineage": "Data created by QPENSO project team based in the School of Geosciences, University of Edinburgh. 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This includes the occurrence of floods and droughts, of heat waves and cold spells. The project examines the largest source of year-to-year climate variability on Earth, namely, El Niño. The El Niño is a warm ocean current that appears off the coast of NW South America every 3-5 years, and it is a result of a much larger scale phenomenon involving changes to the winds, rainfall, temperature and ocean currents across the whole of the tropical Pacific. The larger scale phenomenon is known as the El Niño Southern Oscillation, a name which reflects the fact that it involves a natural cycle in the circulation of both the atmosphere and the surface ocean and how they interact. Although we know that ENSO originates in the tropical Pacific, it has near world-wide impacts because of the way it affects the circulation of the atmosphere, and hence the winds and transport of moisture from the tropics to the extra-tropics. Floods and droughts and changed incidence of storminess from El Niño directly affect the lives and livelihoods of well over a billion people, and major El Niño events are associated with tens of thousands of human deaths, billions of pounds of damage, and devastation to some natural ecosystems such as coral reefs. Even Europe experiences changed weather patterns associated with ENSO! Although we now understand quite well the basic mechanisms behind the ENSO cycle, some major questions remain. In particular, we do not understand why some El Niño events are much stronger than others, why some decades show much stronger El Niño activity, or how ENSO will respond to climate change. To help answer some of these questions, we will reconstruct changes in ENSO over the past 5,000 years by analysing growth rings in the skeletons of old dead ('fossil') corals that lived in the Galápagos. The Galápagos Islands experience extreme changes in weather associated with El Niño (warmer and wetter during events), and these changes are recorded in the chemistry of the skeletons of corals living in the surrounding ocean. Some of these corals live for up to a hundred years, or longer, laying down layers of skeleton a bit like tree rings. We will collect cores through old dead corals, including some that lived thousands of years ago. Then, by analysing the chemistry of their growth bands we will be able to reconstruct the changes in climate, and ENSO, that the corals experienced during their life time. By combining the records from many such corals we will build up a picture of the natural variability in ENSO, helping us see how often major events occurred, and how much decade-to-decade variability in ENSO occurred. These coral records can let us reconstruct the history of past changes in ENSO, but on their own they do not help us to understand the causes of the changes. Were they due to changes in the sun's radiation? Or due to the cooling effects of major volcanic eruptions? Or were they simply random variations that we should expect without any sort of trigger? To answer these questions, we need to use climate models. The same models that we now use to predict future climate can be used to research changes in ENSO. In our work, we used the most up-to-date climate models to see if they can correctly replicate the observed changes in ENSO over the past few thousand years as defined by our coral records. We can also saw what the effects are of changing volcanic eruptions, solar radiation and greenhouse gases in these models. By comparing the model results with the coral records we gained a better understanding of the nature and causes of changes in ENSO, and the skill of the models at predicting this. 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The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 32053, 32058, 32052, 32056, 32057, 32059, 32055, 32054, 49589, 49590 ], "onlineresource_set": [] }, { "ob_id": 7729, "uuid": "93ad26ca184e2cb202bd76c96aa2c2a1", "title": "NAMBLEX: Atmospheric Back Trajectories from the UK Universities Global Atmospheric Modelling Programme (UGAMP)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset contains 21 back trajectories corresponding to arrival on all ECMWF model levels between the ground and mid-troposphere, including surface pressure, temperature, specific humidity, zonal and meridional wind speeds and height from the UK Universities Global Atmospheric Modelling Programme (UGAMP).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-10-24T15:28:10", "updateFrequency": "notPlanned", "dataLineage": "Data were generated with UK Universities Atmospheric Modelling Programme (UGAMP) trajectory code using ECMWF data. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, UGAMP, Atmospheric Chemistry, Boundary Layer, Back Trajectory", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-26T17:10:37", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 891, "bboxName": "namblex", "eastBoundLongitude": 40.0, "westBoundLongitude": -60.0, "southBoundLatitude": 30.0, "northBoundLatitude": 70.0 }, "verticalExtent": null, "result_field": { "ob_id": 12981, "dataPath": "/badc/namblex/data/ugamp-traj", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 141696479, "numberOfFiles": 1230, "fileFormat": "The data are human-readable ascii formatted, and IDL routines for decoding back-trajectories are provided." }, "timePeriod": { "ob_id": 2230, "startTime": "2002-07-19T23:00:00", "endTime": "2002-09-08T23:00:00" }, "resultQuality": { "ob_id": 2092, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3136, "uuid": "786d32ea0b6b4c99ba71f79f9e972c76", "short_code": "comp", "title": "Methven trajectory model deployed on Reading University computer", "abstract": "This computation involved: Methven trajectory model deployed on Reading University computer." }, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "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": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21787, 21824, 22320, 22321, 22383, 22385, 22387, 23052, 25388, 25393, 25857, 25886 ], "vocabularyKeywords": [], "identifier_set": [ 4994 ], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 32063, 32068, 32062, 32065, 32066, 32067, 32069, 32064 ], "onlineresource_set": [] } ] }