Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=400
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Users needing data at this resolution as opposed to the T159 data should contact user support to discuss requirements.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-07-16T18:30:36", "updateFrequency": "notPlanned", "dataLineage": "Data extracted from European Centre for Medium-Range Weather Forecasts (ECMWF) MARS system and transfered to BADC daily, 10 days in arrears of production.", "removedDataReason": "", "keywords": "ECMWF, operational, forecast, analysis, surface, model, spectral, T106", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-06-07T12:35:43", "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": 3837, "dataPath": "/badc/ecmwf-op/data/T106", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2473104693, "numberOfFiles": 858, "fileFormat": "Data are GRIB-1 formatted" }, "timePeriod": { "ob_id": 1095, "startTime": "1994-03-01T00:00:00", "endTime": "2000-11-01T00:00:00" }, "resultQuality": { "ob_id": 957, "explanation": "Data are from ECMWF's operational model. 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The IFS is regularly updated as improvements are made to the model, computing facilities and observations used in data assimilation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2022-12-20T07:28:52", "updateFrequency": "daily", "dataLineage": "Data extracted from European Centre for Medium-Range Weather Forecasts (ECMWF) MARS system and transfered to BADC daily, 10 days in arrears of production.", "removedDataReason": "", "keywords": "ECMWF, operational, ERA 40, forecast, analysis, surface, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2012-06-07T13:04:21", "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": 3839, "dataPath": "/badc/ecmwf-op/data/op_as_e40", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2475714971174, "numberOfFiles": 2602121, "fileFormat": "Data are GRIB-1 formatted" }, "timePeriod": { "ob_id": 1096, "startTime": "2002-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 958, "explanation": "Data are from ECMWF's operational model. 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Since the data is part of the ECMWF Operational system BADC users must successfully apply for access to this dataset before they can obtain the data.\r\n\r\nThe ECMWF produced two sets of runs, System 1 and System 2. The data archived at the BADC are the System 2 runs which use the atmospheric component Cy23r4 of the IFS (Integrated Forecasting System) with a horizontal resolution of TL95 at 40 levels in the vertical. This is the same cycle of the IFS used for the ERA-40 re-analysis.\r\n\r\nA detailed description of the ECMWF Seasonal Forecasting system can be found on the ECMWF web site.\r\n\r\nProducts:\r\n\r\nThe BADC has extracted monthly means, maxima, minima and standard deviations for the available surface variables from 1987 to 6 months before the present date. Atmospheric variables are only currently available as monthly means. The data is held as part of the main BADC Operational ECMWF archive.\r\n\r\nFor each month there are six forecast months archived, with 5 ensemble members for 10 months of the year, and 40 ensemble members in May and November of each year from 1987-2001. From 2002 onwards there are 40 ensemble members per month. There are 33 parameters held on surface or single levels and 6 parameters available on pressure levels.\r\n\r\nThe data is held on a regular 1.875 x 1.875 degree grid in GRIB format.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-07-16T16:56:58", "updateFrequency": "notPlanned", "dataLineage": "Data extracted from European Centre for Medium-Range Weather Forecasts (ECMWF) MARS system and transfered to BADC daily, 10 days in arrears of production.", "removedDataReason": "", "keywords": "ECMWF, operational, forecast, analysis, surface, model, Seasonal", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-06-07T13:10:39", "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": 3841, "dataPath": "/badc/ecmwf-op/data/seasonal_fcs", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 105520416308, "numberOfFiles": 88086, "fileFormat": "Data are GRIB-1 formatted" }, "timePeriod": { "ob_id": 1097, "startTime": "1987-01-01T00:00:00", "endTime": "2003-08-31T23:00:00" }, "resultQuality": { "ob_id": 959, "explanation": "Data are from ECMWF's operational model. 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The goal of COAPEC was to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere, including the influence of ENSO on this coupling.\r\n\r\nTo aid researchers within the COAPEC programme, datasets have been retrieved from a variety of coupled models.\r\n\r\n* 100 years (2079 - 2178) monthly means of all atmospheric and oceanic fields derived from the control run of the Hadley Centre HadCM3 model.\r\n* 1000 years (1849-2849) of monthly means of selected parameters from the HadCM3 control run.\r\n* 50 years (1950-2000) of MOM (GFDL Modular Ocean Model) data.\r\n* Output from the 100 year HadCM3 control integration produced using UM4.5 on the BADC Beowulf Cluster.\r\n* Surface flux climatology data from SOC\r\n\r\nIf using the 100 year dataset from the Hadley Centre, please be aware that the run was restarted part of the way through. This means that there is a difference in the indicated date of origin in the data files, and can cause a discontinuity if not corrected for during analysis.\r\n\r\nThe 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive. \r\n\r\nThe data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM version 4.5 at the BADC has been included in the archive. Please see the README.txt for more information." }, { "ob_id": 3826, "uuid": "c46248046f6ce34fc7660a36d9b10a71", "short_code": "coll", "title": "ECMWF operational analysis: Assimilated Data", "abstract": "Global analyses from the European Centre for Medium-Range Weather Forecasts (ECMWF) from 1994 - present. This dataset collection follows on from the ECMWF Re-Analysis (ERA-15 and ERA-40) datasets with the same parameters at identical resolutions. Data is available in a number of resolutions and vertical level types. 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These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013.\r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please also cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2 ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T20:51:49", "updateFrequency": "", "dataLineage": "Data collected by the GERB instrument onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), then the data processed at RMIB (Royal Meteorological Institute of Belgium) then sent to NCAS-BADC by the GERB team at Imperial College and RAL (Rutherford Appleton Laboratory).", "removedDataReason": "", "keywords": "GERB, solar, thermal, radiation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-03-05T23:05:37", "doiPublishedTime": "2020-05-13T10:19:14.136496", "removedDataTime": null, "geographicExtent": { "ob_id": 70, "bboxName": "", "eastBoundLongitude": 60.0, "westBoundLongitude": -60.0, "southBoundLatitude": -60.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 13394, "dataPath": "/badc/gerb/data/gerb-2/l2arg", "oldDataPath": [ 33254 ], "storageLocation": "internal", "storageStatus": "online", "volume": 137024542656, "numberOfFiles": 131610, "fileFormat": "Data are HDF formatted" }, "timePeriod": { "ob_id": 3617, "startTime": "2004-03-28T00:00:00", "endTime": "2007-05-10T23:00:00" }, "resultQuality": { "ob_id": 3118, "explanation": "Users must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using.", "passesTest": true, "resultTitle": "GERB Data Quality Statement", "date": "2018-03-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 3849, "uuid": "5f21046adaa44405a67ee2867943a1e8", "short_code": "cmppr", "title": "Composite Process for: Data from Geostationary Earth Radiation Budget Experiment 2 (GERB-2) at Meteosat Second Generation 1 (MSG-1) or METEOSAT-8 for the Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Geostationary Earth Radiation Budget Experiment 2 (GERB-2) at Meteosat Second Generation 1 (MSG-1) or METEOSAT-8 for the Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteosat Second Generation 1 (MSG-1) or METEOSAT-8; \n" }, "imageDetails": [ 57 ], "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": 3845, "uuid": "ac0db0f12577d592a247f01e70c95c49", "short_code": "proj", "title": "Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium", "abstract": "The Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. they were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25892, 25898 ], "vocabularyKeywords": [], "identifier_set": [ 2584, 10716 ], "observationcollection_set": [ { "ob_id": 3842, "uuid": "d8a5e58e59eb31620082dc4fd10158e2", "short_code": "coll", "title": "Geostationary Earth Radiation Budget (GERB): Solar and thermal radiation Data", "abstract": "The Geostationary Earth Radiation Budget (GERB) instrument makes accurate measurements of the Earth Radiation Budget. It was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and began transmitting data on 12th December 2002. GERB-1 was launched onboard MSG-2 on 21st December 2005. Future GERB sensors units are planned for MSG-3 and MSG-4. \r\n\r\nThis dataset collection contains the incident and reflected solar radiation together with thermal radiation emitted by the Earth's atmosphere. The amount of solar radiation absorbed is the difference between the the incoming and reflected solar radiation and is the energy source of the Earth-atmosphere system. The thermal radiation emitted by the atmosphere is the only sink of energy so, therefore, the budget is the difference between the two. Seasonal changes in the ERB are mainly due to changes in incoming solar radiation but there is a large amount of variability on timescales of hours to days, mainly due to clouds. The global coverage and sampling frequency required for accurate climate models requires that ERB measurements are made from satellites." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 19028, 19029, 19024, 19023, 19031, 19027, 19026, 19025, 19030 ], "onlineresource_set": [ 24014, 24388, 24387, 24386, 24385, 24384, 24383, 94998 ] }, { "ob_id": 3850, "uuid": "7d7857860f1101eb4abdf3d707620123", "title": "GERB-1: Level 2 averaged rectified geolocated radiance and flux data (L2arg)", "abstract": "This dataset contains Level 2 averaged rectified geolocated radiance and flux data (L2arg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0. These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes. Times contained in the level 2 ARG product names indicate the nominal start of the integration period. North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T21:01:27", "updateFrequency": "", "dataLineage": "Data collected by the GERB instrument onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), then the data processed at RMIB (Royal Meteorological Institute of Belgium) then sent to NCAS-BADC by the GERB team at Imperial College and RAL (Rutherford Appleton Laboratory).\r\n", "removedDataReason": "", "keywords": "GERB, solar, thermal, radiation", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2013-01-31T23:06:27", "doiPublishedTime": "2020-05-13T10:18:49.560897", "removedDataTime": null, "geographicExtent": { "ob_id": 70, "bboxName": "", "eastBoundLongitude": 60.0, "westBoundLongitude": -60.0, "southBoundLatitude": -60.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 13393, "dataPath": "/badc/gerb/data/gerb-1/l2arg", "oldDataPath": [ 33255 ], "storageLocation": "internal", "storageStatus": "online", "volume": 221716777385, "numberOfFiles": 197305, "fileFormat": "Data are HDF formatted" }, "timePeriod": { "ob_id": 3616, "startTime": "2007-04-24T23:00:00", "endTime": "2013-01-18T00:00:00" }, "resultQuality": { "ob_id": 3118, "explanation": "Users must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using.", "passesTest": true, "resultTitle": "GERB Data Quality Statement", "date": "2018-03-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 3855, "uuid": "51c15ebe488e4b67a14a2ed46fe830d6", "short_code": "cmppr", "title": "Composite Process for: Data from Geostationary Earth Radiation Budget Experiment 1 (GERB-1) at Meteosat Second Generation 2 (MSG-2) or METEOSAT-9 for the Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Geostationary Earth Radiation Budget Experiment 1 (GERB-1) at Meteosat Second Generation 2 (MSG-2) or METEOSAT-9 for the Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Meteosat Second Generation 2 (MSG-2) or METEOSAT-9; \n" }, "imageDetails": [ 57 ], "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": 3845, "uuid": "ac0db0f12577d592a247f01e70c95c49", "short_code": "proj", "title": "Geostationary Earth Radiation Budget Experiment 1 and 2 (GERB-1 and GERB-2) European Consortium", "abstract": "The Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. they were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25892, 25898 ], "vocabularyKeywords": [], "identifier_set": [ 2589, 10714 ], "observationcollection_set": [ { "ob_id": 3842, "uuid": "d8a5e58e59eb31620082dc4fd10158e2", "short_code": "coll", "title": "Geostationary Earth Radiation Budget (GERB): Solar and thermal radiation Data", "abstract": "The Geostationary Earth Radiation Budget (GERB) instrument makes accurate measurements of the Earth Radiation Budget. It was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and began transmitting data on 12th December 2002. GERB-1 was launched onboard MSG-2 on 21st December 2005. Future GERB sensors units are planned for MSG-3 and MSG-4. \r\n\r\nThis dataset collection contains the incident and reflected solar radiation together with thermal radiation emitted by the Earth's atmosphere. The amount of solar radiation absorbed is the difference between the the incoming and reflected solar radiation and is the energy source of the Earth-atmosphere system. The thermal radiation emitted by the atmosphere is the only sink of energy so, therefore, the budget is the difference between the two. Seasonal changes in the ERB are mainly due to changes in incoming solar radiation but there is a large amount of variability on timescales of hours to days, mainly due to clouds. The global coverage and sampling frequency required for accurate climate models requires that ERB measurements are made from satellites." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 19041, 19035, 19043, 19038, 19039, 19040, 19036, 19037, 19042 ], "onlineresource_set": [ 24015, 24382, 24381, 24380, 24379, 24378, 24377, 94997 ] }, { "ob_id": 3857, "uuid": "542291c0956a3e4ea2c5085f1a31b94a", "title": "HadISST1.1 - Global Monthly Mean Gridded SSTs (1870-2015)", "abstract": "This dataset contains measurements of sea surface temperature (SST) (HadISST1.1). Dataset include monthly mean gridded (1deg grid), global SSTs from 1870 to October 2015. This product replaced the GISST/GICE (Global Sea Surface Temperature/Global sea-Ice content) data sets ended in February 2003. \r\n The SST data are taken from the Met Office Marine Data Bank (MDB), which from 1982 onwards also includes data received through the Global Telecommunications System (GTS). In order to enhance data coverage, monthly median SSTs for 1871-1995 from the Comprehensive Ocean-Atmosphere Data Set (COADS) (now ICOADS) were also used where there were no MDB data. The sea ice data are taken from a variety of sources including digitized sea ice charts and passive microwave retrievals.\r\n\r\nHadISST1 temperatures are reconstructed using a two stage reduced-space optimal interpolation procedure, followed by superposition of quality-improved gridded observations onto the reconstructions to restore local detail. The sea ice fields are made more homogeneous by compensating satellite microwave-based sea ice concentrations for the impact of surface melt effects on retrievals in the Arctic and for algorithm deficiencies in the Antarctic, and by making the historical in situ concentrations consistent with the satellite data. SSTs near sea ice are estimated using statistical relationships between SST and sea ice concentration. \r\nFrom May 2007 the data set of in situ measurements used in HadISST has changed. The MOHSST data set, which was previously used has been discontinued, and HadSST2 is now being used in its place. The two systems ran in parallel for several months prior to the changeover and no significant differences were seen. \r\n\r\nThe data were provided by the Hadley centre (Met Office).\r\n\r\nImportant Notes:\r\nOn 13th March 2015: Users have noticed that there is a minor discontinuity at the dateline in HadISST1 SST fields starting in 1982. It appears to only affect gridcells just to the east of the dateline. Please note that this can affect estimates of the mean and variability of SSTs in HadISST1 when analysed across this region.\r\nOn 3rd December 2010: The SSM/I satellite that is used to provide the data for the sea ice analysis in HadISST suffered a significant degradation in performance through January and February 2009. The problem affected HadISST fields from January 2009 and probably causes an underestimate of ice extent and concentration. It also affected ses surface temperatures in sea ice areas because the SSTs are estimated from the sea ice concentration. As of 3rd December 2010, the Met Office Hadley Centre has reprocessed the data from January 2009 to the present using a difference sea ice data source. This is an improvement on the previous situation but users should still note that the switch of data source at the start of 2009 might introduce a discontinuity into the record.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-20T16:37:29", "updateFrequency": "notPlanned", "dataLineage": "Data obtained from the period 1870 to October 2015 (last update was made in December 2015 for 2 months in arrear) by the Met Office Hadley Centre, using satellite and sea surface in-situ observations are passed to the BADC for archiving.", "removedDataReason": "", "keywords": "Met Office, Hadley, SST, ice, ocean, temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1x1 deg grid", "status": "completed", "dataPublishedTime": "2007-02-02T00:10:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 3858, "dataPath": "/badc/ukmo-hadisst/data/sst/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1478981552, "numberOfFiles": 169, "fileFormat": "ASCII and NetCDF" }, "timePeriod": { "ob_id": 3714, "startTime": "1870-01-01T00:00:00", "endTime": "2015-10-31T00:00:00" }, "resultQuality": { "ob_id": 962, "explanation": "Operational data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-10-02" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3859, "uuid": "84e786663e294db2bdd8751c564c29c3", "short_code": "comp", "title": "HadISST Digitized Sea Ice charts and satellite data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: HadISST Digitized Sea Ice charts and satellite data processing deployed on Met Office Hadley Centre Computers. Process used to create the ice content of the Hadisst dataset from various sources of digitized charts." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2593, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "hadisst", "label": "restricted: hadisst 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": [ 6023, 6645, 6646, 6647, 6648, 24752 ], "vocabularyKeywords": [], "identifier_set": [ 2594, 8742 ], "observationcollection_set": [ { "ob_id": 3856, "uuid": "facafa2ae494597166217a9121a62d3c", "short_code": "coll", "title": "Met Office HadISST 1.1 - Global sea-Ice coverage and Sea Surface Temperature (1870-2015)", "abstract": "Data from HasISST contains measurements of sea surface temperature (SST) and also global sea ice coverage (HadISST1.1). Dataset include:\r\n- Global Ocean Surface Temperature (HadISST_1.1_SST), a set of SST data in monthly 1° area grids, for 1870 to October 2015.\r\n- Global sea-Ice content, (HadISST_1.1_ICE), monthly 1° grids of ice coverage for 1870 to October 2015. \r\n\r\nIn situ sea surface observations and satellite derived estimates at the sea surface are included in the analysis. SST bucket corrections have been applied to gridded fields from 1870 through 1941. And a blend of satellite AVHRR (for SST), SSMI (for ice) and observations are used in the modern periods. \r\nThis data product replaces the GISST/GICE (Global Sea Surface Temperature/Global sea-Ice content) data sets ended in February 2003. \r\n\r\nThe data were provided by the Hadley Centre (Met Office). Updates are available from the Hadley Centre." } ], "responsiblepartyinfo_set": [ 19059, 19054, 19055, 19060, 19057, 19061, 19058, 19056, 46790, 55037, 148639 ], "onlineresource_set": [ 8469, 8470, 8468 ] }, { "ob_id": 3860, "uuid": "1dcb79727b313a281233afc3c3e10519", "title": "HadISST1.1 - Global Monthly Mean Gridded Ice Concentrations (1870-2015)", "abstract": "This dataset contains measurements of sea ice content (HadISST1.1). Dataset include monthly mean gridded (1deg grid), global Ice content from 1870 to October 2015. This product replaced the GISST/GICE (Global Sea Surface Temperature/Global sea-Ice content) data sets ended in February 2003. \r\nThe sea ice data are taken from a variety of sources including digitized sea ice charts and passive microwave retrievals.\r\n\r\nThe sea ice fields are made more homogeneous by compensating satellite microwave-based sea ice concentrations for the impact of surface melt effects on retrievals in the Arctic and for algorithm deficiencies in the Antarctic, and by making the historical in situ concentrations consistent with the satellite data. SSTs near sea ice are estimated using statistical relationships between SST and sea ice concentration. \r\nFrom May 2007 the data set of in situ measurements used in HadISST has changed. The MOHSST data set, which was previously used has been discontinued, and HadSST2 is now being used in its place. The two systems ran in parallel for several months prior to the changeover and no significant differences were seen. \r\n\r\nThe data were provided by the Hadley centre (Met Office).\r\n\r\nImportant Notes:\r\nOn 13th March 2015: Users have noticed that there is a minor discontinuity at the dateline in HadISST1 SST fields starting in 1982. It appears to only affect gridcells just to the east of the dateline. Please note that this can affect estimates of the mean and variability of SSTs in HadISST1 when analysed across this region.\r\nOn 8th March 2011: The switch of satellite source data at the start of 2009 introduced a discontinuity in the fields of sea ice in both the Arctic and Antarctic.\r\nOn 3rd December 2010: The SSM/I satellite that is used to provide the data for the sea ice analysis in HadISST suffered a significant degradation in performance through January and February 2009. The problem affected HadISST fields from January 2009 and probably causes an underestimate of ice extent and concentration. It also affected ses surface temperatures in sea ice areas because the SSTs are estimated from the sea ice concentration. As of 3rd December 2010, the Met Office Hadley Centre has reprocessed the data from January 2009 to the present using a difference sea ice data source. This is an improvement on the previous situation but users should still note that the switch of data source at the start of 2009 might introduce a discontinuity into the record.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-12-20T16:41:30", "updateFrequency": "notPlanned", "dataLineage": "Data obtained from the period 1870 to present by the Met Office Hadley Centre, using satellite and sea surface in-situ observations are passed to the BADC for archiving.", "removedDataReason": "", "keywords": "Met Office, Hadley, SST, ice, ocean, temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1x1 deg grid", "status": "completed", "dataPublishedTime": "2007-02-02T00:27:52", "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": 3861, "dataPath": "/badc/ukmo-hadisst/data/ice/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1167042257, "numberOfFiles": 169, "fileFormat": "ASCII and NetCDF" }, "timePeriod": { "ob_id": 3714, "startTime": "1870-01-01T00:00:00", "endTime": "2015-10-31T00:00:00" }, "resultQuality": { "ob_id": 963, "explanation": "Operational data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-10-02" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13549, "uuid": "d13bc917b2de43c4a018535ffa25ae5a", "short_code": "comp", "title": "HadISST Sea Surface Temperature data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: HadISST Sea Surface Temperature data processing deployed on Met Office Hadley Centre Computers. Processing used by the Met Office Hadley Centre to produce the HadISST dataset." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2593, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "hadisst", "label": "restricted: hadisst 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": [ 6023, 25905, 53939, 53940, 62546, 92209 ], "vocabularyKeywords": [], "identifier_set": [ 2597, 8743 ], "observationcollection_set": [ { "ob_id": 3856, "uuid": "facafa2ae494597166217a9121a62d3c", "short_code": "coll", "title": "Met Office HadISST 1.1 - Global sea-Ice coverage and Sea Surface Temperature (1870-2015)", "abstract": "Data from HasISST contains measurements of sea surface temperature (SST) and also global sea ice coverage (HadISST1.1). Dataset include:\r\n- Global Ocean Surface Temperature (HadISST_1.1_SST), a set of SST data in monthly 1° area grids, for 1870 to October 2015.\r\n- Global sea-Ice content, (HadISST_1.1_ICE), monthly 1° grids of ice coverage for 1870 to October 2015. \r\n\r\nIn situ sea surface observations and satellite derived estimates at the sea surface are included in the analysis. SST bucket corrections have been applied to gridded fields from 1870 through 1941. And a blend of satellite AVHRR (for SST), SSMI (for ice) and observations are used in the modern periods. \r\nThis data product replaces the GISST/GICE (Global Sea Surface Temperature/Global sea-Ice content) data sets ended in February 2003. \r\n\r\nThe data were provided by the Hadley Centre (Met Office). Updates are available from the Hadley Centre." } ], "responsiblepartyinfo_set": [ 19069, 19065, 19070, 19071, 19064, 19067, 19068, 19066, 46791, 55038, 148638 ], "onlineresource_set": [ 8472, 8473, 8471 ] }, { "ob_id": 3864, "uuid": "933f1028b637a847a6f2e1729cc3237c", "title": "ACCMIP: CCCma (Canadian Centre for Climate Modelling and Analysis) climate model output", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations.\r\n\r\nThis dataset contains measurements from climate simulations from CCCma of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-04T04:57:40", "updateFrequency": "notPlanned", "dataLineage": "The ACCMIP model output uses CMOR (Climate Model Output Rewriter) to convert data to CF netCDF. The CMOR conversion is performed by the individual modelling groups and the resulting CF netCDF files are archived at CEDA.", "removedDataReason": "", "keywords": "ACCMIP, Model, chemistry, climate", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-08-24T10:06:05", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 71, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -89.0, "northBoundLatitude": 89.0 }, "verticalExtent": null, "result_field": { "ob_id": 3865, "dataPath": "/badc/accmip/data/CCCma", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88184634841, "numberOfFiles": 4698, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1102, "startTime": "1850-01-01T00:00:00", "endTime": "2100-12-31T00:00:00" }, "resultQuality": { "ob_id": 964, "explanation": "ACCMIP data arrives direct from the modelling centres. A versioning system ensures that new versions of data are placed in separate version directories.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3867, "uuid": "f61dddcfc258434dbf7257cec95e8bc2", "short_code": "comp", "title": "Canadian Middle Atmosphere Model (CMAM) deployed on Canadian Centre for Climate Modelling and Analysis computing facility", "abstract": "This computation involved: Canadian Middle Atmosphere Model (CMAM) deployed on Canadian Centre for Climate Modelling and Analysis computing facility. The Canadian Middle Atmosphere Model is a full general circulation model with on-line fully interactive chemistry involving 127 gas-phase and heterogeneous reactions. Thus, feedback between dynamics, chemistry and radiation occurs in every model time step.\r\n\r\nThe Canadian Middle Atmosphere Model is a full general circulation model with on-line fully interactive chemistry involving 127 gas-phase and heterogeneous reactions. Thus, feedback between dynamics, chemistry and radiation occurs in every model time step.\r\nThe model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could a&#64256;ect tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\n\r\n The Canadian Centre for Climate Modelling and Analysis (CCCma) is a division of the Climate Research Branch of Environment Canada. The CCCma carries out research in modelling and analysis. The CCCma develop computer models of the climate system to simulate global climate, regional climate, and climate change.\r\n\r\nThe Canadian Centre for Climate Modelling and Analysis (CCCma) is a division of the Climate Research Branch of Environment Canada.\r\nThe CCCma carries out research in modelling and analysis.\r\n\r\nThe modelling component involves;\r\n\r\nDeveloping computer models of the climate system to simulate global climate, regional climate, and climate change\r\nAttributing observed climate changes to specific causes\r\nPredicting seasonal and longer term climate variations\r\nIn order to undertake this research, the CCCma has an ongoing model development programme. Over the years, models of increasing sophistication have been developed, permitting study of more complex climate questions.\r\n\r\nUnder the analysis component, CCCma\r\n\r\nAnalyses past and predicted climate variations to gain a deeper understanding of the climate system\r\nProvides science based quantitative information to the national and the international community, notably coordinated model experiments organized by the World Climate Research Programme (WCRP) and contributions to the Intergovernmental Panel on Climate Change " }, "procedureCompositeProcess": null, "imageDetails": [ 58 ], "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": 3866, "uuid": "b46c58786d3e5a3f985043166aeb862d", "short_code": "proj", "title": "Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) combines a number of climate simulations from the pre-industrial period until the end of the 21st Century, and satellite data, to investigate the evolution and distribution of short-lived, chemically-active climate forcing agents, and ozone changes, for a range of scenarios." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1050, 6019, 6020, 6021, 6022, 6023, 6024, 6025, 6028, 6029, 6031, 6032, 6035, 6036, 6037, 6038, 6039, 6040, 6041, 6042, 6043, 6045, 6047, 6048, 6050, 6051, 6052, 6053, 6055, 6056, 6059, 6060, 6061, 6062, 6063, 6071, 6072, 6073, 6074, 6079, 6080, 6083, 6095, 6098, 6100, 6101, 6104, 6105, 6106, 6107, 6255, 6259, 6284, 6285, 6296, 6297, 6299, 6300, 6305, 6306, 6311, 6316, 6317, 6319, 6320, 6321, 6322, 6503, 6504, 6505, 6506, 6507, 6508, 6509 ], "vocabularyKeywords": [], "identifier_set": [ 2602 ], "observationcollection_set": [ { "ob_id": 3863, "uuid": "ded523bf23d59910e5d73f1703a2d540", "short_code": "coll", "title": "The model data outputs from the Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have been designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. The proposed list of experiments and diagnostics was aimed at providing necessary information for scientific studies spanning the AC&C interests.\r\n\r\nThis dataset collection contains chemistry and climate model measurements." } ], "responsiblepartyinfo_set": [ 19093, 19091, 19094, 19095, 19096, 42925, 42926, 19092 ], "onlineresource_set": [ 9311, 16682 ] }, { "ob_id": 3868, "uuid": "798b90d6eec65e6436c34c329df8b9c4", "title": "ACCMIP: CICERO (Centre for Internation Climate and Environment Reasrch, Oslo) climate model output", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations.\r\n\r\nThis dataset contains measurements from climate simulations from CICERO of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:04:22", "updateFrequency": "notPlanned", "dataLineage": "The ACCMIP model output uses CMOR (Climate Model Output Rewriter) to convert data to CF netCDF. The CMOR conversion is performed by the individual modelling groups and the resulting CF netCDF files are archived at CEDA.", "removedDataReason": "", "keywords": "ACCMIP, Model, chemistry, climate", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-08-24T10:09:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 71, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -89.0, "northBoundLatitude": 89.0 }, "verticalExtent": null, "result_field": { "ob_id": 3869, "dataPath": "/badc/accmip/data/CICERO", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48249035152, "numberOfFiles": 3677, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1103, "startTime": "1850-01-01T00:00:00", "endTime": "2100-12-31T00:00:00" }, "resultQuality": { "ob_id": 965, "explanation": "ACCMIP data arrives direct from the modelling centres. A versioning system ensures that new versions of data are placed in separate version directories.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3870, "uuid": "98c092e690dc43ec971901476ef352e1", "short_code": "comp", "title": "The University of Oslo chemistry-transport model, Oslo CTM2 deployed on CICERO (Centre for International Climate and Environment Research, Oslo) Computers", "abstract": "This computation involved: The University of Oslo chemistry-transport model, Oslo CTM2 deployed on CICERO (Centre for International Climate and Environment Research, Oslo) Computers. OsloCTM2 is a chemical transport model (CTMs) which uses offline meteorological fields from a single year of a reanalysis dataset. It employs a fixed stratospheric ozone influx of 450 Tg yr.\r\n\r\nThe model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\n\r\n CICERO (Centre for International Climate and Environment Research) is an independent research center associated with the University of Oslo. CICERO’s mission is to conduct research and provide reports, information and expert advice about issues related to global climate change and international climate policy with the aim of acquiring knowledge that can help mitigate the climate problem and enhance international climate cooperation.\r\n" }, "procedureCompositeProcess": null, "imageDetails": [ 58 ], "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": 3866, "uuid": "b46c58786d3e5a3f985043166aeb862d", "short_code": "proj", "title": "Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) combines a number of climate simulations from the pre-industrial period until the end of the 21st Century, and satellite data, to investigate the evolution and distribution of short-lived, chemically-active climate forcing agents, and ozone changes, for a range of scenarios." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6323, 6324, 6339, 6340, 6342, 6343, 6344, 6345, 6346, 6347, 6349, 6350, 6351, 6352, 6353, 6354, 6355, 6356, 6357, 6358, 6359, 6360, 6361, 6362, 6363, 6364, 6365, 6366, 6367, 6368, 6369, 6370, 6371, 6372, 6373, 6374, 6375, 6377, 6378, 6379, 6380, 6381, 6382, 6383, 6384, 6385, 6386, 6387, 6388, 6389, 6391, 6392, 6393, 6394, 6395, 6396, 6397, 6398, 6399, 6400, 6401, 6402, 6403, 6404, 6405, 6406, 6407, 6408, 6409, 6410, 6411, 6412, 6413, 6414, 6415, 6416, 6417, 6418, 6419, 6420, 6421, 6422, 6423, 6424, 6425, 6426, 6427, 6428, 6429, 6430, 6431, 6433, 6434, 6435, 6436, 6437, 6438, 6439, 6440, 6441, 6442, 6443, 6444, 6445, 6447, 6448, 6449, 6450, 6451, 6452, 6453, 6454, 6455, 6456, 6457, 6458, 6459, 6461, 6464, 6465, 6466, 6467, 6468, 6469, 6470, 6471, 6472, 6475, 6477, 6478, 6479, 6480, 6485, 6486, 6487, 6488, 6490, 6496, 53146, 53147, 57311, 57312, 57313, 57314, 57315, 57316, 57317, 57318, 57319, 57320, 57321 ], "vocabularyKeywords": [], "identifier_set": [ 2609 ], "observationcollection_set": [ { "ob_id": 3863, "uuid": "ded523bf23d59910e5d73f1703a2d540", "short_code": "coll", "title": "The model data outputs from the Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have been designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. The proposed list of experiments and diagnostics was aimed at providing necessary information for scientific studies spanning the AC&C interests.\r\n\r\nThis dataset collection contains chemistry and climate model measurements." } ], "responsiblepartyinfo_set": [ 19099, 19101, 19102, 19103, 19104, 42647, 42648, 19100 ], "onlineresource_set": [ 9312, 16676 ] }, { "ob_id": 3871, "uuid": "4cbf297603e8fec86cbd81abe0591377", "title": "ACCMIP: DLR (German Aerospace Centre) climate model output", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations.\r\n\r\nThis dataset contains measurements from climate simulations from DLR of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-12-05T14:38:57", "updateFrequency": "notPlanned", "dataLineage": "The ACCMIP model output uses CMOR (Climate Model Output Rewriter) to convert data to CF netCDF. The CMOR conversion is performed by the individual modelling groups and the resulting CF netCDF files are archived at CEDA.", "removedDataReason": "", "keywords": "ACCMIP, Model, chemistry, climate", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-08-24T10:12:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 71, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -89.0, "northBoundLatitude": 89.0 }, "verticalExtent": null, "result_field": { "ob_id": 3872, "dataPath": "/badc/accmip/data/DLR", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67192468540, "numberOfFiles": 2635, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1104, "startTime": "1850-01-01T00:00:00", "endTime": "2100-12-31T00:00:00" }, "resultQuality": { "ob_id": 966, "explanation": "ACCMIP data arrives direct from the modelling centres. A versioning system ensures that new versions of data are placed in separate version directories.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 3873, "uuid": "f5f8b63c430541b39229dd24921f4368", "short_code": "comp", "title": "ECHAM/MESSy Atmospheric Chemistry (EMAC) Numerical Model System deployed on DLR (German Institute for Atmospheric Physics) Computers", "abstract": "This computation involved: ECHAM/MESSy Atmospheric Chemistry (EMAC) Numerical Model System deployed on DLR (German Institute for Atmospheric Physics) Computers. ECHAM/MESSy Atmospheric Chemistry (EMAC) numerical model system is a climate model with atmospheric chemistry modules, run in atmosphere-only mode; i.e. the model is driven by sea-surface temperature (SST) and sea-ice concentrations (SICs).\r\n\r\nThe model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\nThe German Institute for Atmopsheric Physics (DLR) is based in Oberpfaffenhofen, Germany. It focusses on the research of the physical and chemical processes of the troposphere and lower stratosphere. The global climate model ECHAM has been developed at the DLR, and based on ECHAM, more complex interactively coupled model systems have been developed, including other components of the climate system: Ocean-Atmosphere models, atmosphere models including the sulfur cycle, etc.\r\n\r\nSeveral model versions are currently used operationally: ECHAM4 has been used since 1996, ECHAM5 has been made available at the begin of 2004. ECHAM4 has also been available with higher vertical resolution (ECHAM4.L39(DLR)) or with an upward shifted model top at 0.1 hPa (MA-ECHAM4).\r\nECHAM is used to simulate the development of global weather (temperature, wind, clouds, etc.), using a spatial resolution of between 300 km and 500 km and a time step of between 20 min and 40 min, depending on model version." }, "procedureCompositeProcess": null, "imageDetails": [ 58 ], "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": 3866, "uuid": "b46c58786d3e5a3f985043166aeb862d", "short_code": "proj", "title": "Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) combines a number of climate simulations from the pre-industrial period until the end of the 21st Century, and satellite data, to investigate the evolution and distribution of short-lived, chemically-active climate forcing agents, and ozone changes, for a range of scenarios." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 6501, 50416, 50419, 50420, 50542, 50543, 50549, 53144, 53145, 53146, 53147, 53149, 53151, 53155, 53156, 53157, 53158, 53159, 53161, 53164, 53165, 53166, 53172, 53173, 53176, 53177, 53178, 53180, 53187, 53188, 53196, 53199, 53228, 53230, 53232, 53233, 53234, 53235, 54692, 57244, 71854, 71877 ], "vocabularyKeywords": [], "identifier_set": [ 2613 ], "observationcollection_set": [ { "ob_id": 3863, "uuid": "ded523bf23d59910e5d73f1703a2d540", "short_code": "coll", "title": "The model data outputs from the Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). 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It is a climate model with atmospheric chemistry modules, run in atmosphere-only mode; i.e. the model is driven by sea-surface temperature (SST) and sea-ice concentrations (SICs).\r\n\r\nAM3 is the atmospheric component of the GFDL (Geophysical Fluid Dynamics Laboratory) global coupled model. It is a climate model with atmospheric chemistry modules, run in atmosphere-only mode; i.e. the model is driven by sea-surface temperature (SST) and sea-ice concentrations (SICs).The model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could a&#64256;ect tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\n\r\n\r\n The Geophysical Fluid Dynamics Laboratory (GFDL) is a laboratory in the National Oceanic and Atmospheric Administration (NOAA)/Office of Oceanic and Atmospheric Research (OAR). Much current research within the laboratory is focused around the development of Earth System Models for assessment of natural and human-induced climate change. The GFDL has been utilizing High Performance Computing Systems for Numerical Modeling since the 1950s.\r\n\r\nThe Geophysical Fluid Dynamics Laboratory (GFDL) is a laboratory in the National Oceanic and Atmospheric Administration (NOAA)/Office of Oceanic and Atmospheric Research (OAR).\r\nMuch current research within the laboratory is focused around the development of Earth System Models for assessment of natural and human-induced climate change.\r\nThe GFDL is located at Princeton University's Forrestal Campus in Princeton, NJ.\r\nSince March 2011, the GFDL no longer possesses an on-site supercomputer. 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The Goddard Institute of Space Studies ModelE/Russell model is run as a fully coupled ocean-atmosphere climate model.\r\n\r\nThe Goddard Institute of Space Studies ModelE/Russell model is run as a fully coupled ocean-atmosphere climate model.\r\nThe model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO; referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could a&#64256;ect tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\nResearch at the NASA Goddard Institute for Space Studies (GISS) emphasizes a broad study of global change.\r\nThe climate modeling program at NASA GISS is primarily aimed at the development of three-dimensional general circulation models (GCMs) and coupled atmosphere-ocean models for simulating Earth's climate system.\r\n\r\nResearch at the NASA Goddard Institute for Space Studies (GISS) emphasizes a broad study of global change.\r\nThe climate modeling program at NASA GISS is primarily aimed at the development of three-dimensional general circulation models (GCMs) and coupled atmosphere-ocean models for simulating Earth's climate system.\r\nThe climate models that GISS has developed and operates include atmospheric general circulation models (AGCMs) and coupled atmosphere-ocean models. Such computer models numerically solve fundamental equations describing the conservation of mass, energy, momentum, etc. for each atmospheric gridbox, while taking into account the transfer of those quantities between gridboxes. They also consider, often in parameterized form, the physical processes within the boxes, including sources and sinks of these quantities." }, "procedureCompositeProcess": null, "imageDetails": [ 58 ], "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": 3866, "uuid": "b46c58786d3e5a3f985043166aeb862d", "short_code": "proj", "title": "Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) combines a number of climate simulations from the pre-industrial period until the end of the 21st Century, and satellite data, to investigate the evolution and distribution of short-lived, chemically-active climate forcing agents, and ozone changes, for a range of scenarios." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1050, 6019, 6020, 6021, 6022, 6023, 6024, 6025, 6026, 6027, 6028, 6029, 6030, 6031, 6032, 6035, 6036, 6037, 6038, 6039, 6040, 6041, 6042, 6043, 6044, 6045, 6046, 6047, 6048, 6049, 6050, 6051, 6052, 6053, 6055, 6056, 6057, 6058, 6059, 6060, 6061, 6062, 6063, 6064, 6065, 6066, 6067, 6068, 6069, 6071, 6072, 6073, 6074, 6075, 6076, 6077, 6078, 6079, 6080, 6081, 6082, 6083, 6084, 6085, 6086, 6087, 6088, 6089, 6090, 6091, 6092, 6093, 6094, 6095, 6096, 6097, 6098, 6099, 6100, 6101, 6102, 6103, 6104, 6105, 6106, 6107, 6256, 6259, 6262, 6263, 6264, 6265, 6266, 6267, 6268, 6269, 6271, 6272, 6275, 6276, 6279, 6280, 6281, 6282, 6283, 6284, 6285, 6286, 6288, 6289, 6291, 6292, 6293, 6294, 6296, 6297, 6299, 6301, 6302, 6303, 6304, 6305, 6306, 6307, 6308, 6309, 6311, 6315, 6317, 6318, 6319, 6320, 6321, 6322, 6503, 6507, 6508, 6509, 6510, 6514, 6640, 6641, 6642, 6649, 6650, 6651, 6652, 6653, 6654, 6655, 6656, 6657, 6658, 6659, 6660, 6661, 6662, 6663, 6664, 6665, 6666, 6667, 6668, 6669, 6670, 6671, 6672, 6673, 6674, 6675, 6676, 6677, 6678, 6679, 6680, 6681, 6682, 6683, 6684, 6685, 6686, 6687 ], "vocabularyKeywords": [], "identifier_set": [ 2621 ], "observationcollection_set": [ { "ob_id": 3863, "uuid": "ded523bf23d59910e5d73f1703a2d540", "short_code": "coll", "title": "The model data outputs from the Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). 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The MIROC-CHEM atmospheric chemistry model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO2; referred to as NOx), carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could affect tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\nThe MIROC-CHEM atmospheric chemistry model explores how changes in the levels and locations of ozone precursor emissions, (such as nitrogen oxides NO and NO referred to as NO, carbon monoxide (CO) and volatile organic compounds (VOCs), including methane, could tropospheric ozone abundances, from the pre-industrial period to future projections.\r\n\r\nThe Centre for Climate System Research (CSSR) computer facility run both a general circulation model (GCM) and an earth system model with intermediate complexity (EMIC).\r\nThe National Institute for Environmental Studies, Japan, contribute to the optimization of future predictions on climate change based on integrated observations and model analyses.\r\n\r\n\r\nThe Centre for Climate System Research (CSSR) computer facility run both a general circulation model (GCM) and an earth system model with intermediate complexity (EMIC).\r\nThe National Institute for Environmental Studies, Japan, contribute to the optimization of future predictions on climate change based on integrated observations and model analyses." }, "procedureCompositeProcess": null, "imageDetails": [ 58 ], "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": 3866, "uuid": "b46c58786d3e5a3f985043166aeb862d", "short_code": "proj", "title": "Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) combines a number of climate simulations from the pre-industrial period until the end of the 21st Century, and satellite data, to investigate the evolution and distribution of short-lived, chemically-active climate forcing agents, and ozone changes, for a range of scenarios." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50416, 50419, 50420, 50425, 50509, 50549, 50553, 50555, 50557, 50559, 50561, 50566, 50589, 50598, 50599, 52746, 53144, 53145, 53146, 53147, 53149, 53150, 53151, 53152, 53154, 53155, 53156, 53157, 53158, 53160, 53161, 53162, 53164, 53165, 53166, 53167, 53170, 53171, 53172, 53176, 53177, 53178, 53179, 53180, 53181, 53183, 53184, 53186, 53187, 53188, 53190, 53191, 53192, 53194, 53196, 53197, 53198, 53200, 53201, 53202, 53203, 53204, 53205, 53206, 53207, 53208, 53209, 53210, 53211, 53212, 53213, 53214, 53215, 53216, 53217, 53218, 53219, 53220, 53221, 53222, 53223, 53224, 53225, 53226, 53227, 53228, 53229, 53230, 53231, 53232, 53233, 53234, 53235, 53236, 62736, 71673, 71711, 71716, 71717, 71718, 71719, 71720, 71722, 71724, 71725, 71726, 71727, 71729, 71736, 71737, 71739, 71742, 71764, 71854, 71877, 71928, 71929, 71931, 72022, 72024, 72025, 72034, 83825, 83826, 83827, 83830, 89419 ], "vocabularyKeywords": [], "identifier_set": [ 2646 ], "observationcollection_set": [ { "ob_id": 3863, "uuid": "ded523bf23d59910e5d73f1703a2d540", "short_code": "coll", "title": "The model data outputs from the Atmospheric Chemistry & Climate Model Intercomparison Project (ACCMIP)", "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). 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The centre is the country's focus for oceanography and represents an unparalleled investment in marine and earth sciences and technology in the UK. The centre opened in 1995 in a purpose-built, 50 million waterfront campus on the city Empress Dock. 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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" } ], "responsiblepartyinfo_set": [ 19394, 19399, 19393, 19396, 19397, 19398, 19402, 19395, 19400, 72449, 19401 ], "onlineresource_set": [] }, { "ob_id": 3968, "uuid": "9c299686d13872df687baff3abeb0a76", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project: Aircraft halocarbon measurements", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of atmospheric halocarbons. 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The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public.\r\n\r\nOxidation of almost all trace gases released into the atmosphere is initiated by hydroxyl (OH) radicals, produced mainly from the action of near-UV light on ozone in the presence of water vapour. Increasing evidence suggests that the oxidative capacity of the troposphere has been perturbed in recent years due to the emission of gases such as methane, carbon monoxide, non-methane hydrocarbons and nitrogen oxides from man-made sources. These perturbations may be causing changes in the natural atmospheric composition, for instance increasing tropospheric levels of the greenhouse gas ozone, which has important consequences for climate and human health. It is also possible that the rates of oxidation of gases such as methane, and production of sulphate aerosols from the oxidation of sulphur dioxide, have been modified. Taken together a change in the oxidative capacity of the atmosphere has many consequences for the long-term stability of the Earth's climate.\r\n\r\nSOAPEX-2 builds upon the success of the original SOAPEX-I experiment conducted at Cape Grim in January/February 1995 which resulted in the publication of several papers to the literature on the relationship between concentrations of peroxy radicals and uv light levels in different NOx concentration regimes, and the consequences for ozone production and loss in the marine boundary layer. SOAPEX-2 is a more complete experiment with the addition of atmospheric measurements of key new species including hydroxyl, hydroperoxyl, halogen oxide and nitrate radicals, non methane hydrocarbons, speciated aldehydes, PAN and halocarbons.\r\n\r\nSOAPEX-2 involves four groups of tropospheric scientists from the UK and Australia, namely the Universities of East Anglia, Leeds and Leicester along with CSIRO (Commonwealth Scientific Research Organisation), Melbourne.\r\n\r\nThe clean air photochemistry experiment is an essential prerequisite for experiments carried out in more polluted atmospheres. The data obtained is allowing rigorous testing of basic mechanisms which describe the behaviour of free radical concentrations at differing light levels, water vapour and nitrogen oxide concentrations, etc. The measurements performed in this project are expected to yield valuable information on chemical changes that are affecting the oxidative capacity of the global troposphere and, therefore, the rate at which the global atmosphere can cleanse itself of pollutants. The measurements are also highly relevant to the situation in more polluted atmospheres, where increased levels of confidence in our understanding of atmospheric chemistry is an essential prerequisite to any legislation designed to reduce regional and global pollution.\r\n\r\nThe specific objectives of SOAPEX-2 are:\r\n* To quantitatively test fast photochemical theory in clean air.\r\n* To examine perturbations from the baseline situation in polluted continental air containing more complex mixtures of free radical sources and sinks\r\n* Investigation of the balance between tropospheric O3 production and destruction in differing NOx regimes\r\n* A test of instrumental performance\r\n* Testing of models used to simulate chemical processes in the lower atmosphere which are deficient in their description of boundary layer processes" } ], "responsiblepartyinfo_set": [ 19438, 19443, 19437, 19440, 19441, 19442, 19444, 19439 ], "onlineresource_set": [] }, { "ob_id": 3972, "uuid": "72be027dc9c91c485cd970e7593095d7", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project: Seawater measurements from Southern Surveyor research vessel", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of seawater alkyl nitrates and halocarbons. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2000-03-02T09:01:45", "updateFrequency": "notPlanned", "dataLineage": "Data provided as is to the BADC during and after the SOAPEX campaign.", "removedDataReason": "", "keywords": "SOAPEX, Air pollution, Seawater", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-29T23:40:28", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 74, "bboxName": "", "eastBoundLongitude": 144.41, "westBoundLongitude": 144.41, "southBoundLatitude": -40.41, "northBoundLatitude": -40.41 }, "verticalExtent": null, "result_field": { "ob_id": 13419, "dataPath": "/badc/soapex/data/seawater", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12907, "numberOfFiles": 3, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 1133, "startTime": "1999-01-12T00:00:00", "endTime": "1999-02-20T00:00:00" }, "resultQuality": { "ob_id": 996, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3976, "uuid": "5efd159eac45493a85ade42fb9558e11", "short_code": "acq", "title": "Acquisition Process for: Data from CSIRO ADS/GC-MS at Southern Surveyor research vessel for the Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: CSIRO ADS/GC-MS; PLATFORMS: Southern Surveyor research vessel; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 60 ], "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": 3959, "uuid": "56d44a1a7d94c3cab9f7cd1c3055697e", "short_code": "proj", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2)", "abstract": "SOAPEX-2 is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 22341, 23106, 25387, 25394, 25396, 25398, 25849, 25854, 25861, 25933, 25934, 25935, 25936, 25937 ], "vocabularyKeywords": [], "identifier_set": [ 2733 ], "observationcollection_set": [ { "ob_id": 3956, "uuid": "a266f328ead407624dde4bb5c9e2e6a2", "short_code": "coll", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2): Atmospheric Constituents Concentration Measurements from Cape Grim, Tasmania", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public.\r\n\r\nOxidation of almost all trace gases released into the atmosphere is initiated by hydroxyl (OH) radicals, produced mainly from the action of near-UV light on ozone in the presence of water vapour. Increasing evidence suggests that the oxidative capacity of the troposphere has been perturbed in recent years due to the emission of gases such as methane, carbon monoxide, non-methane hydrocarbons and nitrogen oxides from man-made sources. These perturbations may be causing changes in the natural atmospheric composition, for instance increasing tropospheric levels of the greenhouse gas ozone, which has important consequences for climate and human health. It is also possible that the rates of oxidation of gases such as methane, and production of sulphate aerosols from the oxidation of sulphur dioxide, have been modified. Taken together a change in the oxidative capacity of the atmosphere has many consequences for the long-term stability of the Earth's climate.\r\n\r\nSOAPEX-2 builds upon the success of the original SOAPEX-I experiment conducted at Cape Grim in January/February 1995 which resulted in the publication of several papers to the literature on the relationship between concentrations of peroxy radicals and uv light levels in different NOx concentration regimes, and the consequences for ozone production and loss in the marine boundary layer. SOAPEX-2 is a more complete experiment with the addition of atmospheric measurements of key new species including hydroxyl, hydroperoxyl, halogen oxide and nitrate radicals, non methane hydrocarbons, speciated aldehydes, PAN and halocarbons.\r\n\r\nSOAPEX-2 involves four groups of tropospheric scientists from the UK and Australia, namely the Universities of East Anglia, Leeds and Leicester along with CSIRO (Commonwealth Scientific Research Organisation), Melbourne.\r\n\r\nThe clean air photochemistry experiment is an essential prerequisite for experiments carried out in more polluted atmospheres. 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The measurements are also highly relevant to the situation in more polluted atmospheres, where increased levels of confidence in our understanding of atmospheric chemistry is an essential prerequisite to any legislation designed to reduce regional and global pollution.\r\n\r\nThe specific objectives of SOAPEX-2 are:\r\n* To quantitatively test fast photochemical theory in clean air.\r\n* To examine perturbations from the baseline situation in polluted continental air containing more complex mixtures of free radical sources and sinks\r\n* Investigation of the balance between tropospheric O3 production and destruction in differing NOx regimes\r\n* A test of instrumental performance\r\n* Testing of models used to simulate chemical processes in the lower atmosphere which are deficient in their description of boundary layer processes" } ], "responsiblepartyinfo_set": [ 19448, 19450, 19451, 19452, 19454, 19453, 19447, 19449, 51291, 51292 ], "onlineresource_set": [] }, { "ob_id": 3980, "uuid": "9cc7306512fd9659ef19302ea6b1dc45", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project: In-situ atmospheric chemistry compound measurements at Cape Grim Baseline Air Pollution Station, Tasmania", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim Baseline Air Pollution Station (BAPS), Tasmania in January-February 1999. The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2000-09-27T14:56:48", "updateFrequency": "notPlanned", "dataLineage": "Data provided as is to the BADC during and after the SOAPEX campaign.", "removedDataReason": "", "keywords": "SOAPEX, Air pollution, in-situ", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-29T23:46:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 74, "bboxName": "", "eastBoundLongitude": 144.41, "westBoundLongitude": 144.41, "southBoundLatitude": -40.41, "northBoundLatitude": -40.41 }, "verticalExtent": null, "result_field": { "ob_id": 13417, "dataPath": "/badc/soapex/data/in-situ", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12611854, "numberOfFiles": 55, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1135, "startTime": "1999-01-01T00:00:00", "endTime": "1999-02-28T00:00:00" }, "resultQuality": { "ob_id": 998, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3983, "uuid": "f033d6f372fa4da1889c91b886e8d17d", "short_code": "acq", "title": "Acquisition Process for: Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project In-situ measurments", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project In-situ measurments" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 60 ], "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": 3959, "uuid": "56d44a1a7d94c3cab9f7cd1c3055697e", "short_code": "proj", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2)", "abstract": "SOAPEX-2 is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 22341, 23106, 25387, 25394, 25396, 25398, 25849, 25854, 25861, 25933, 25934, 25935, 25936, 25937 ], "vocabularyKeywords": [], "identifier_set": [ 2737 ], "observationcollection_set": [ { "ob_id": 3956, "uuid": "a266f328ead407624dde4bb5c9e2e6a2", "short_code": "coll", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2): Atmospheric Constituents Concentration Measurements from Cape Grim, Tasmania", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public.\r\n\r\nOxidation of almost all trace gases released into the atmosphere is initiated by hydroxyl (OH) radicals, produced mainly from the action of near-UV light on ozone in the presence of water vapour. Increasing evidence suggests that the oxidative capacity of the troposphere has been perturbed in recent years due to the emission of gases such as methane, carbon monoxide, non-methane hydrocarbons and nitrogen oxides from man-made sources. These perturbations may be causing changes in the natural atmospheric composition, for instance increasing tropospheric levels of the greenhouse gas ozone, which has important consequences for climate and human health. It is also possible that the rates of oxidation of gases such as methane, and production of sulphate aerosols from the oxidation of sulphur dioxide, have been modified. Taken together a change in the oxidative capacity of the atmosphere has many consequences for the long-term stability of the Earth's climate.\r\n\r\nSOAPEX-2 builds upon the success of the original SOAPEX-I experiment conducted at Cape Grim in January/February 1995 which resulted in the publication of several papers to the literature on the relationship between concentrations of peroxy radicals and uv light levels in different NOx concentration regimes, and the consequences for ozone production and loss in the marine boundary layer. SOAPEX-2 is a more complete experiment with the addition of atmospheric measurements of key new species including hydroxyl, hydroperoxyl, halogen oxide and nitrate radicals, non methane hydrocarbons, speciated aldehydes, PAN and halocarbons.\r\n\r\nSOAPEX-2 involves four groups of tropospheric scientists from the UK and Australia, namely the Universities of East Anglia, Leeds and Leicester along with CSIRO (Commonwealth Scientific Research Organisation), Melbourne.\r\n\r\nThe clean air photochemistry experiment is an essential prerequisite for experiments carried out in more polluted atmospheres. 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The dataset contains concentrations of atmospheric constituents of hydrocarbons. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2000-03-03T10:05:01", "updateFrequency": "notPlanned", "dataLineage": "Data provided as is to the BADC during and after the SOAPEX campaign.", "removedDataReason": "", "keywords": "SOAPEX, Air pollution, Canister", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-29T23:56:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 74, "bboxName": "", "eastBoundLongitude": 144.41, "westBoundLongitude": 144.41, "southBoundLatitude": -40.41, "northBoundLatitude": -40.41 }, "verticalExtent": null, "result_field": { "ob_id": 13418, "dataPath": "/badc/soapex/data/canister", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9754, "numberOfFiles": 2, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 1140, "startTime": "1999-01-12T00:00:00", "endTime": "1999-02-20T00:00:00" }, "resultQuality": { "ob_id": 1003, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13671, "uuid": "8088cb272f1c4571bcc69e9b3e1440c8", "short_code": "acq", "title": "Acquisition Process for: Data from CSIRO GC-FID at Cape Grim B.A.P.S, Tasmania for the Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: CSIRO GC-FID; PLATFORMS: Cape Grim B.A.P.S, Tasmania; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 60 ], "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": 3959, "uuid": "56d44a1a7d94c3cab9f7cd1c3055697e", "short_code": "proj", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2)", "abstract": "SOAPEX-2 is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 22341, 23106, 25387, 25394, 25396, 25398, 25849, 25854, 25861, 25933, 25934, 25935, 25936, 25937 ], "vocabularyKeywords": [], "identifier_set": [ 2751 ], "observationcollection_set": [ { "ob_id": 3956, "uuid": "a266f328ead407624dde4bb5c9e2e6a2", "short_code": "coll", "title": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2): Atmospheric Constituents Concentration Measurements from Cape Grim, Tasmania", "abstract": "Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of atmospheric constituents such as halocarbons, hydrocarbons, methane, nitric oxide, and carbon monoxide. This dataset is public.\r\n\r\nOxidation of almost all trace gases released into the atmosphere is initiated by hydroxyl (OH) radicals, produced mainly from the action of near-UV light on ozone in the presence of water vapour. Increasing evidence suggests that the oxidative capacity of the troposphere has been perturbed in recent years due to the emission of gases such as methane, carbon monoxide, non-methane hydrocarbons and nitrogen oxides from man-made sources. These perturbations may be causing changes in the natural atmospheric composition, for instance increasing tropospheric levels of the greenhouse gas ozone, which has important consequences for climate and human health. It is also possible that the rates of oxidation of gases such as methane, and production of sulphate aerosols from the oxidation of sulphur dioxide, have been modified. 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Although superseded by MSG-1 (renamed Meteosat-8) in 2005, Meteosat-7 remained as back-up at 0o longitude until 14th June 2006. Meteosat-7 will be moved to 63oE longitude to continue coverage of the Indian Ocean and take over from Meteosat-5.\r\n\r\nMeteosat-7 was launched by the European Space Agency and operated by Eumetsat.\r\n\r\nThis dataset contains thermal infra-red images from Meteosat Geostationary Satellites First Generation over Europe and North Atlantic. \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-10-13T12:40:19", "updateFrequency": "notPlanned", "dataLineage": "The Data held at the BADC are images of that portion of the Meteosat view field encompassing Northern Atlantic, Europe and North Africa, in all available channels (visible, thermal and water vapour infra-red bands). From 11th of November 1999 until 31st October 2002 these images were daily mirrored from the Meteosat archive at the University of Nottingham. The images include zooms of Northern Atlantic and Europe in the visible band and are provided in JPEG format.\r\n\r\nImages were received in this way until a technical fault at Nottingham resulted in the service being suspended.\r\n\r\nFull-disc images of the Meteosat view field were subsequently received from the Eumetsat archive in Germany. Jpeg images covering Northern Atlantic, Europe and North Africa have been obtained from EUMETSAT to fill the gap in the archive between October 2002 and August 2003.", "removedDataReason": "", "keywords": "MSG, thermal, Satellites, Europe, North Atlantic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-20T16:28:45", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 929, "bboxName": "Europe", "eastBoundLongitude": 45.0, "westBoundLongitude": -30.0, "southBoundLatitude": 30.0, "northBoundLatitude": 75.0 }, "verticalExtent": null, "result_field": { "ob_id": 4026, "dataPath": "/badc/meteosat/data/d2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9200695661, "numberOfFiles": 59767, "fileFormat": "Images are JPG formatted" }, "timePeriod": { "ob_id": 1148, "startTime": "1999-11-11T00:00:00", "endTime": "2000-08-30T23:00:00" }, "resultQuality": { "ob_id": 1011, "explanation": "Images are from the operational METEOSAT archives held by EUMETSAT", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 4029, "uuid": "774083f3ccf84c6c84985fd8bbbc9dde", "short_code": "cmppr", "title": "Composite Process for: Data from METEOSAT Visible & IR Imager (MVIRI) at METEOSAT-7 for the European Space Agency (ESA)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from METEOSAT Visible & IR Imager (MVIRI) at METEOSAT-7 for the European Space Agency (ESA) ; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on METEOSAT-7; \n" }, "imageDetails": [ 61 ], "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": 19241, "uuid": "50eba91c22414cfd948c0b8e49dc558c", "short_code": "proj", "title": "Meteosat Geostationary Satellites First Generation", "abstract": "Meteosat Geostationary Satellites First Generation was operated by EUMETSAT and provided almost continuous images to meteorologists and researchers in Europe and around the world. \r\n\r\nMeteosat-7 and its predecessors were the first generation of earth observation dedicated geostationary satellites located at 36000 km above the intersection of the Equator and the Greenwich Meridian. Although superseded by MSG-1 (renamed Meteosat-8) in 2005, Meteosat-7 remained as back-up at 0o longitude until 14th June 2006. Meteosat-7 will be moved to 63oE longitude to continue coverage of the Indian Ocean and take over from Meteosat-5.\r\n\r\nMeteosat-7 was launched by the European Space Agency and operated by Eumetsat." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22848, 25940, 25941, 25942, 25943, 25944, 25945 ], "vocabularyKeywords": [], "identifier_set": [ 2761 ], "observationcollection_set": [ { "ob_id": 4024, "uuid": "531384467ff3af2b468b668f405104e1", "short_code": "coll", "title": "Meteosat Geostationary Satellites First Generation: Visible, Infra-Red and Water Vapour Images over Europe", "abstract": "Meteosat-7 and its predecessors were the first generation of earth observation dedicated geostationary satellites located at 36000 km above the intersection of the Equator and the Greenwich Meridian. Although superseded by MSG-1 (renamed Meteosat-8) in 2005, Meteosat-7 remained as back-up at 0o longitude until 14th June 2006. Meteosat-7 will be moved to 63oE longitude to continue coverage of the Indian Ocean and take over from Meteosat-5.\r\n\r\nMeteosat-7 was launched by the European Space Agency and operated by Eumetsat.\r\n\r\nThis dataset collection contains visible, water vapour, thermal and infra-red images of the North Atlantic Ocean, Europe and North Africa from the Meteosat geostationary satellite. Images are archived from 11th November 1999 to June 2006. These images are public.\r\n\r\nData were collected every half hour in three wavelength channels for visible, infra-red and water vapour images." } ], "responsiblepartyinfo_set": [ 19588, 19593, 19587, 19590, 19591, 19592, 19594, 19589 ], "onlineresource_set": [] }, { "ob_id": 4031, "uuid": "7e81155a2a11aa3719b39b2b77083e0d", "title": "Surface Radiation Budget (SRB): Daily and Monthly average measurements of radiative fluxes from March 1985 to December 1988", "abstract": "The NASA Surface Radiation Budget (SRB) project computes Top-of atmosphere and Surface radiative fluxes at a 1ox 1o spatial scale for both shortwave (0.28– 4 mm) and longwave (4 mm) wavelengths.\r\n\r\nThis dataset contains Version 1.1 Surface Radiation Budget (SRB) shortwave products for the period from March 1985 until December 1988 as produced by the World Climate Research Programme's (WCRP) SRB Satellite Data Analysis Center (SDAC). The data are derived from results from the International Satellite Cloud Climatology Project (ISCCP) and the Earth Radiation Budget Experiment (ERBE).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-04-23T09:45:28", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM obtained from NASA Langley and made available, as is, for browsing purposes from the BADC archive.", "removedDataReason": "", "keywords": "SRB, remote sensing, cloud", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-22T05:36:23", "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": 4032, "dataPath": "/badc/CDs/srb/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 440369664, "numberOfFiles": 95, "fileFormat": "Data are HDF formatted" }, "timePeriod": { "ob_id": 3740, "startTime": "1985-03-01T00:00:00", "endTime": "1988-12-31T23:59:59" }, "resultQuality": { "ob_id": 1012, "explanation": "not known", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19243, "uuid": "dc6486e002b4462b82066ad9eb7a3790", "short_code": "comp", "title": "Surface Radiation Budget", "abstract": "SRB results are generated using two different algorithms. The two methods use different approaches. Both methods apply spectral and angular corrections (based on Nimbus-7 Earth Radiation Budget (ERB) and Earth Radiation Budget Experiment (ERBE) results) which are not included in the original ISCCP data. They also separate surface from aerosol effects which is not included in ISCCP. Each method uses its own cloud algorithm which has been compared with experimental data from a number of regions. The Satellite Data Analysis Center (SDAC) also compares basic SRB results with the limited amount of ground truth data that are available. The user may have increased confidence in the SRB results for those cells wherein the two methods obtain values that differ only slightly. Caution is suggested for those cells where the two methods differ by a large amount.\r\n" }, "procedureCompositeProcess": null, "imageDetails": [ 62 ], "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": 13985, "uuid": "028250e89ab24839924effc068391c38", "short_code": "proj", "title": "Surface Radiation Budget", "abstract": "The Surface Radiation Budget (SRB) dataset comprises estimates of surface downward and net irradiances, surface albedo, downward direct / diffuse ratio, surface cloud forcing, daylight cloud fraction. Data are derived from ISCCP and ERBE satellite projects. Various other radiation, cloud, meteorological and other diagnostic parameters are also provided.\r\n\r\nThis dataset contains Version 1.1 Surface Radiation Budget (SRB) shortwave products for the period from March 1985 until December 1988 as produced by the World Climate Research Programme's (WCRP) SRB Satellite Data Analysis Center (SDAC). The data are derived from results from the International Satellite Cloud Climatology Project (ISCCP) and the Earth Radiation Budget Experiment (ERBE).\r\n\r\nSDAC uses two methods (known as the Pinker and Staylor algorithms) to estimate surface downward and net irradiances, surface albedo, downward direct/diffuse ratio, surface cloud forcing, and daylight cloud fraction. In addition, various other radiation, cloud, meteorological and diagnostic parameters are provided to aid the user in understanding variations in the SRB parameters.\r\n\r\nThe data are archived at the NASA Langley Research Center. They are held at the BADC on the NASA CD-ROM." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21911, 21919, 21962, 22353, 23422, 23423, 25846, 25875, 25884, 25892, 25901, 25916 ], "vocabularyKeywords": [], "identifier_set": [ 2764 ], "observationcollection_set": [ { "ob_id": 4030, "uuid": "736b7a6165b96c693b771e09d843a7c5", "short_code": "coll", "title": "Remote-sensed Surface Radiation Budget (SRB) Shortwave Products", "abstract": "The NASA Surface Radiation Budget (SRB) project computes Top-of atmosphere and Surface radiative fluxes at a 1ox 1o spatial scale for both shortwave (0.28– 4 mm) and longwave (4 mm) wavelengths. \r\n\r\nThis dataset collection contains Version 1.1 Surface Radiation Budget (SRB) shortwave products for the period from March 1985 until December 1988 as produced by the World Climate Research Programme's (WCRP) SRB Satellite Data Analysis Center (SDAC). The data are derived from results from the International Satellite Cloud Climatology Project (ISCCP) and the Earth Radiation Budget Experiment (ERBE)." } ], "responsiblepartyinfo_set": [ 19613, 19618, 19612, 19615, 19616, 19617, 19619, 19614 ], "onlineresource_set": [] }, { "ob_id": 4034, "uuid": "140c1b08cad8e2f080ae9b7b89f00fab", "title": "UTLS THESEO: Balloon-borne Near-IR laser spectrometer atmospheric methane measurements from Kiruna station, Sweden", "abstract": "Extension of the Third European Stratospheric Experiment on Ozone (THESEO) balloon-borne measurements of atmospheric tracers and chemically active gases in the mid-latitude lower stratosphere for tests of atmospheric transport UTLS Round 1 project led by Dr R.L.Jones, Dr J.A.Pyle and Dr Neil Harris, Centre for Atmospheric Sciences, University of Cambridge and P.T. Woods, National Physical Laboratory (NPL). \r\n\r\nThis dataset contains atmospheric methane measurements from a balloon-borne near-IR laser spectrometer.\r\n\r\nThe data shows the methane mixing ratio at different atmospheric pressures. The 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", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2000-06-14T14:53:39", "updateFrequency": "notPlanned", "dataLineage": "Data collected by balloon-borne near-infra-red tunable diode laser spectrometer from the National Physical Laboratory (NPL), launched from Kiruna during the 1999/2000 winter, then interpreted using 3D chemical transport models already developed at Cambridge.\r\nData files were provided as is in 2000 to the BADC for archiving.", "removedDataReason": "", "keywords": "UTLS, THESEO, balloon, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-13T15:32:42", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 779, "bboxName": "Kiruna sweden", "eastBoundLongitude": 20.2167, "westBoundLongitude": 20.2167, "southBoundLatitude": 67.85, "northBoundLatitude": 67.85 }, "verticalExtent": null, "result_field": { "ob_id": 4035, "dataPath": "/badc/utls/data/theseo/npl", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70637, "numberOfFiles": 7, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 1149, "startTime": "2000-01-28T00:00:00", "endTime": "2000-03-25T00:00:00" }, "resultQuality": { "ob_id": 1013, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-17" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4037, "uuid": "f054f7a4635f46a99ae2c3145184ffc7", "short_code": "acq", "title": "Acquisition Process for: NPL balloon-borne Near-IR laser spectrometer data from Kiruna station, Sweden, for the UTLS-Ozone Extention of THESEO campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: NPL: Ballon-borne Near IR laser spectrometer; PLATFORMS: Esrange, Kiruna station, Sweden; " }, "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." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25398 ], "vocabularyKeywords": [], "identifier_set": [ 2767 ], "observationcollection_set": [ { "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." } ], "responsiblepartyinfo_set": [ 55933, 19629, 19631, 19634, 19635, 19636, 19637, 19632, 55934, 55935, 55936, 55937 ], "onlineresource_set": [] }, { "ob_id": 4039, "uuid": "8e997b2785defec544ca9473e84d4b40", "title": "ISLSCP - I, Volume 5: Near-surface meteorological analyses and Total and convective precipitation", "abstract": "This CD-ROM set contains the Volume 5 Near-surface meteorological analyses and Total and convective precipitation data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses, hybrid products and total and convective precipitation", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T08:16:58", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. CEDA-BADC acquired a copy of the CD-ROM and later uploaded its content into the BADC archive for online browsing.", "removedDataReason": "", "keywords": "ISLSCP, NASA, Near-Surface Meteorology, Precipitation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1 x 1 degree", "status": "completed", "dataPublishedTime": "2007-02-14T23:06:00", "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": 13106, "dataPath": "/badc/CDs/islscp/islscp_v5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 595243143, "numberOfFiles": 11900, "fileFormat": "Data are plain ASCII formatted" }, "timePeriod": { "ob_id": 1150, "startTime": "1987-01-01T00:00:00", "endTime": "1988-12-31T00:00:00" }, "resultQuality": { "ob_id": 1014, "explanation": "As per documentation provided including Dataset Status page.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13155, "uuid": "6dc41e067a834e7c94597f586a98e3c0", "short_code": "cmppr", "title": "ECMWF and NCM surface meteorology and precipitation reanalysis model output for the ISLSCP project", "abstract": "ECMWF and NCM surface meteorology and precipitation reanalysis model output for the ISLSCP project." }, "imageDetails": [ 63 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4041, "uuid": "556faad7432d9a73a591a02636f7b7b9", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project (ISLSCP) - Initiative I", "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies.\r\n\r\nIn June of 1992, an interdisciplindary Earth Science workshop was convened in Columbia, Maryland, to assess recent progress in land-atmosphere research, specifically in the areas of models, satellite data algorithms, and field experiments. At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. The data sets collated for ISLSCP Initiative I represent a first attempt to meet this need." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22345, 22346, 22353, 22354, 22355, 22356, 22357, 22359, 25846, 25855, 25870, 25874, 25884, 25885, 25897, 25900, 25905, 25906, 25907, 25911, 25927, 25928, 25929, 25930, 25931, 25932 ], "vocabularyKeywords": [], "identifier_set": [ 2772 ], "observationcollection_set": [ { "ob_id": 4038, "uuid": "48c9cd8b8dd43490c8d786a28e9c1a44", "short_code": "coll", "title": "International Satellite Land Surface Climatology Project - Initiative I (ISLSCP I) Dataset", "abstract": "The International Satellite Land Surface Climatology Project was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies. This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. This dataset collection is public.\r\n\r\nWhile ISLSCP Inititative I covers 2 years (1987 and 1988), ISLSCP Inititative II spans a 10-year period for 1986 to 1995." } ], "responsiblepartyinfo_set": [ 19649, 19654, 19648, 19651, 19652, 19653, 19655, 19650 ], "onlineresource_set": [] }, { "ob_id": 4052, "uuid": "7f466c415e5819098ffcae0bda7d91de", "title": "ISLSCP - I, Volume 3: Near-surface meteorological analyses", "abstract": "This CD-ROM set contains the Volume 3 Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses and hybrid productsublic.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T08:10:30", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. CEDA-BADC acquired a copy of the CD-ROM and later uploaded its content into the BADC archive for online browsing.", "removedDataReason": "", "keywords": "ISLSCP, NASA, Near-Surface Meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1 x 1 degree", "status": "completed", "dataPublishedTime": "2007-02-14T23:07:43", "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": 13104, "dataPath": "/badc/CDs/islscp/islscp_v3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 533779152, "numberOfFiles": 5960, "fileFormat": "Data are plain ASCII formatted" }, "timePeriod": { "ob_id": 1153, "startTime": "1987-01-01T00:00:00", "endTime": "1988-12-31T00:00:00" }, "resultQuality": { "ob_id": 1017, "explanation": "As per documentation provided including Dataset Status page.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13153, "uuid": "b276e7826a0f4e77bebc6d2d4ca09619", "short_code": "comp", "title": "ECMWF reanalysis output for the ISLSCP-I project", "abstract": "The ECMWF, and ECMWF, NASA/LaRC data on the ISLSCP Initiative I CD-ROM are comprised of the ECMWF/TOGA Advanced Operational Analysis Data the ECMWF/TOGA Supplementary Fields data and a hybrid dataset using the radiation fields within the ECMWF/TOGA Supplementary Fields and the NASA/LaRC Surface Shortwave and Longwave Radiation Fluxes data set.\r\n\r\nECMWF/TOGA Advanced Operational Analysis Data Sets:\r\n\r\nThis dataset contains uninitialized analysis values at the resolution of the data assimilation system in operational use at ECMWF. The Advanced Operational Analysis Data Set, on the ISLSCP Initiative 1 CD-ROM, are comprised only of the Surface and Diagnostic Fields.\r\n\r\nThe original ECMWF Surface and Diagnostic Fields data set was represented on a 320 x 160 grid, with a regular spacing of 1.125 degrees (lat/long) between points along each row for the period January 1, 1987 - December 31, 1988. Grid point values were stored in latitude rows starting at the north and working southwards; within each row values ran from west to east, starting at the 0 degree longitude. All of the ECMWF Surface and Diagnostic Fields Data sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Surface and Diagnostic Fields data set, on the ISLSCP Initiative I CD-ROM set, are:\r\n\r\nSurface Fields - surface pressure, surface temperature, soil moisture, snow depth, mean sea level pressure, u- and v-components of wind at 10m, temperature at 2m, dew point temperature at 2m, deep-soil wetness, deep-soil temperature.\r\n\r\nDiagnostic Fields - surface roughness, albedo, climate deep-soil wetness, climate deep-soil temperature.\r\n\r\nECMWF/TOGA Supplementary Fields Data Set:\r\n\r\nThe Supplementary Fields Data Set contains surface heat fluxes, net radiation and u- v-stress derived from 6-hour forecasts used as \"first-guess\" for analyses within ECMWF's data assimilation system. The Supplementary Fields Data Set acquired from ECMWF were represented in the same format, as the Surface and Diagnostic Fields Data set, described above. All ECMWF Supplementary Fields Data Sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Supplementary Fields data set, on the ISLSCP Initiative I CD-ROM set, are: surface flux of sensible heat, surface flux of latent heat, surface shortwave radiation, surface longwave radiation, top of the atmosphere shortwave radiation, top of the atmosphere longwave radiation, and the zonal and meridional components of the surface wind stress.\r\n\r\nMost of the near-surface meteorological data are taken directly from forecast products generated by the ECMWF operational numerical weather prediction model.\r\n\r\nECMWF requested that the following information be provided to users of the ECMWF data:\r\n\r\nThe ECMWF data sets are adapted to a specific model orography; the data sets have biases which are only partially documented (reference list).\r\n\r\nNo surface observations of T, q, precipitation, nor surface wind observations over land were used in the analysis.\r\n\r\nModel spin up can seriously affect the flux data. All flux fields, including total cloud cover, are first-guess fields (i.e. 6 hour forecasts).\r\n\r\nAll the time-evolving fields on this CD-ROM, such as soil moisture, snow depth and deep soil parameters include no direct observations, but evolve during the data assimilation cycle.\r\n\r\nThe Technical Attachment to the Description of the ECMWF/WCRP Archive should be cited by users in publications (see reference section).\r\n\r\nIn addition to the routine products extracted from the ECMWF archive for this data set, NASA/GSFC generated synthetic 'hybrid' 6-hourly incident surface shortwave and longwave radiation fluxes, and NOAA/NMC generated 'hybrid' 6-hourly total and convective precipitation rates. As presented on the CD-ROMs the data sets include:\r\n\r\nI. Prescribed/Diagnostic Fields (see table in section 1.3),\r\nII. Monthly (6-hourly) Forcing Fields (see table in section 1.3),\r\nIII. Diurnally-resolved (6-hourly) Forcing Fields (see table in section 1.3). (These include the hybrid products).\r\n\r\nThe data in I are intended for reference rather than direct use by modelers. The data sets in II are suitable for forcing long time-step models. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. This dataset collection is public.\r\n\r\nWhile ISLSCP Inititative I covers 2 years (1987 and 1988), ISLSCP Inititative II spans a 10-year period for 1986 to 1995." } ], "responsiblepartyinfo_set": [ 19674, 19679, 19673, 19677, 19678, 19680, 19676, 19675 ], "onlineresource_set": [] }, { "ob_id": 4056, "uuid": "d80ea7f75faffd71a051a1517f3b2c05", "title": "ISLSCP - I, Volume 1: Hydrology and Soil data", "abstract": "This CD-ROM set contains the Volume 1 hydrology and soil data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n * Precipitation \r\n * Hydrology cover \r\n * River basin streamflow\r\n * Global soil properties \r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:59:24", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. 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The Advanced Operational Analysis Data Set, on the ISLSCP Initiative 1 CD-ROM, are comprised only of the Surface and Diagnostic Fields.\r\n\r\nThe original ECMWF Surface and Diagnostic Fields data set was represented on a 320 x 160 grid, with a regular spacing of 1.125 degrees (lat/long) between points along each row for the period January 1, 1987 - December 31, 1988. Grid point values were stored in latitude rows starting at the north and working southwards; within each row values ran from west to east, starting at the 0 degree longitude. All of the ECMWF Surface and Diagnostic Fields Data sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Surface and Diagnostic Fields data set, on the ISLSCP Initiative I CD-ROM set, are:\r\n\r\nSurface Fields - surface pressure, surface temperature, soil moisture, snow depth, mean sea level pressure, u- and v-components of wind at 10m, temperature at 2m, dew point temperature at 2m, deep-soil wetness, deep-soil temperature.\r\n\r\nDiagnostic Fields - surface roughness, albedo, climate deep-soil wetness, climate deep-soil temperature.\r\n\r\nECMWF/TOGA Supplementary Fields Data Set:\r\n\r\nThe Supplementary Fields Data Set contains surface heat fluxes, net radiation and u- v-stress derived from 6-hour forecasts used as \"first-guess\" for analyses within ECMWF's data assimilation system. The Supplementary Fields Data Set acquired from ECMWF were represented in the same format, as the Surface and Diagnostic Fields Data set, described above. All ECMWF Supplementary Fields Data Sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Supplementary Fields data set, on the ISLSCP Initiative I CD-ROM set, are: surface flux of sensible heat, surface flux of latent heat, surface shortwave radiation, surface longwave radiation, top of the atmosphere shortwave radiation, top of the atmosphere longwave radiation, and the zonal and meridional components of the surface wind stress.\r\n\r\nMost of the near-surface meteorological data are taken directly from forecast products generated by the ECMWF operational numerical weather prediction model.\r\n\r\nECMWF requested that the following information be provided to users of the ECMWF data:\r\n\r\nThe ECMWF data sets are adapted to a specific model orography; the data sets have biases which are only partially documented (reference list).\r\n\r\nNo surface observations of T, q, precipitation, nor surface wind observations over land were used in the analysis.\r\n\r\nModel spin up can seriously affect the flux data. All flux fields, including total cloud cover, are first-guess fields (i.e. 6 hour forecasts).\r\n\r\nAll the time-evolving fields on this CD-ROM, such as soil moisture, snow depth and deep soil parameters include no direct observations, but evolve during the data assimilation cycle.\r\n\r\nThe Technical Attachment to the Description of the ECMWF/WCRP Archive should be cited by users in publications (see reference section).\r\n\r\nIn addition to the routine products extracted from the ECMWF archive for this data set, NASA/GSFC generated synthetic 'hybrid' 6-hourly incident surface shortwave and longwave radiation fluxes, and NOAA/NMC generated 'hybrid' 6-hourly total and convective precipitation rates. As presented on the CD-ROMs the data sets include:\r\n\r\nI. Prescribed/Diagnostic Fields (see table in section 1.3),\r\nII. Monthly (6-hourly) Forcing Fields (see table in section 1.3),\r\nIII. Diurnally-resolved (6-hourly) Forcing Fields (see table in section 1.3). (These include the hybrid products).\r\n\r\nThe data in I are intended for reference rather than direct use by modelers. The data sets in II are suitable for forcing long time-step models. The data sets in III have been put together for the express purpose of forcing energy-water-carbon land models." }, "procedureCompositeProcess": null, "imageDetails": [ 63 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4041, "uuid": "556faad7432d9a73a591a02636f7b7b9", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project (ISLSCP) - Initiative I", "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies.\r\n\r\nIn June of 1992, an interdisciplindary Earth Science workshop was convened in Columbia, Maryland, to assess recent progress in land-atmosphere research, specifically in the areas of models, satellite data algorithms, and field experiments. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. 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The Advanced Operational Analysis Data Set, on the ISLSCP Initiative 1 CD-ROM, are comprised only of the Surface and Diagnostic Fields.\r\n\r\nThe original ECMWF Surface and Diagnostic Fields data set was represented on a 320 x 160 grid, with a regular spacing of 1.125 degrees (lat/long) between points along each row for the period January 1, 1987 - December 31, 1988. Grid point values were stored in latitude rows starting at the north and working southwards; within each row values ran from west to east, starting at the 0 degree longitude. All of the ECMWF Surface and Diagnostic Fields Data sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Surface and Diagnostic Fields data set, on the ISLSCP Initiative I CD-ROM set, are:\r\n\r\nSurface Fields - surface pressure, surface temperature, soil moisture, snow depth, mean sea level pressure, u- and v-components of wind at 10m, temperature at 2m, dew point temperature at 2m, deep-soil wetness, deep-soil temperature.\r\n\r\nDiagnostic Fields - surface roughness, albedo, climate deep-soil wetness, climate deep-soil temperature.\r\n\r\nECMWF/TOGA Supplementary Fields Data Set:\r\n\r\nThe Supplementary Fields Data Set contains surface heat fluxes, net radiation and u- v-stress derived from 6-hour forecasts used as \"first-guess\" for analyses within ECMWF's data assimilation system. The Supplementary Fields Data Set acquired from ECMWF were represented in the same format, as the Surface and Diagnostic Fields Data set, described above. All ECMWF Supplementary Fields Data Sets, on the ISLSCP CD-ROM, have been converted, by the Goddard DAAC, to a 1 X 1 degree equal angle lat/long grid, starting at 90 degrees latitude North and 180 degrees longitude West (see section 9.3.1).\r\n\r\nThe Parameters from the Supplementary Fields data set, on the ISLSCP Initiative I CD-ROM set, are: surface flux of sensible heat, surface flux of latent heat, surface shortwave radiation, surface longwave radiation, top of the atmosphere shortwave radiation, top of the atmosphere longwave radiation, and the zonal and meridional components of the surface wind stress.\r\n\r\nMost of the near-surface meteorological data are taken directly from forecast products generated by the ECMWF operational numerical weather prediction model.\r\n\r\nECMWF requested that the following information be provided to users of the ECMWF data:\r\n\r\nThe ECMWF data sets are adapted to a specific model orography; the data sets have biases which are only partially documented (reference list).\r\n\r\nNo surface observations of T, q, precipitation, nor surface wind observations over land were used in the analysis.\r\n\r\nModel spin up can seriously affect the flux data. All flux fields, including total cloud cover, are first-guess fields (i.e. 6 hour forecasts).\r\n\r\nAll the time-evolving fields on this CD-ROM, such as soil moisture, snow depth and deep soil parameters include no direct observations, but evolve during the data assimilation cycle.\r\n\r\nThe Technical Attachment to the Description of the ECMWF/WCRP Archive should be cited by users in publications (see reference section).\r\n\r\nIn addition to the routine products extracted from the ECMWF archive for this data set, NASA/GSFC generated synthetic 'hybrid' 6-hourly incident surface shortwave and longwave radiation fluxes, and NOAA/NMC generated 'hybrid' 6-hourly total and convective precipitation rates. As presented on the CD-ROMs the data sets include:\r\n\r\nI. Prescribed/Diagnostic Fields (see table in section 1.3),\r\nII. Monthly (6-hourly) Forcing Fields (see table in section 1.3),\r\nIII. Diurnally-resolved (6-hourly) Forcing Fields (see table in section 1.3). (These include the hybrid products).\r\n\r\nThe data in I are intended for reference rather than direct use by modelers. The data sets in II are suitable for forcing long time-step models. The data sets in III have been put together for the express purpose of forcing energy-water-carbon land models." }, "procedureCompositeProcess": null, "imageDetails": [ 63 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4041, "uuid": "556faad7432d9a73a591a02636f7b7b9", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project (ISLSCP) - Initiative I", "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies.\r\n\r\nIn June of 1992, an interdisciplindary Earth Science workshop was convened in Columbia, Maryland, to assess recent progress in land-atmosphere research, specifically in the areas of models, satellite data algorithms, and field experiments. At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. 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These climate oscillations were accompanied by changes in atmospheric CO2, but the fundamental reasons for this relationship are still unresolved.\r\n\r\nThis project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. 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The instrument uses backscattered ultraviolet radiance to infer total column ozone measurements. The data consists of daily gridded averages of total ozone covering the entire globe. The original Nimbus-7 TOMS operated from November 1978 until May 1993. Meteor-3 TOMS was launched in August 1991 and operated until December 1994.\r\n\r\nAfter a gap of one and a half years, two new TOMS instruments began operation in 1996: Earth-Probe TOMS was launched on 2nd July 1996 and started to produce data on 25th July. ADEOS TOMS was launched on 17th August 1996 and started producing data on 11th September. The satellites were originally placed in different orbits, giving complete global coverage with the ADEOS data, while Earth-Probe had complete coverage at the poles with an increased ability to measure UV-absorbing aerosols in the troposphere. ADEOS failed in June 1997 and Earth-Probe was subsequently placed in a higher orbit to give global coverage.\r\n\r\nOn Saturday, december 2, 2006, contact with Earth Probe was lost. There has been no communication with the spacecraft since. The spacecraft is intact and Earth-oriented which mean that it is still operational and maintaining attitude. On Wednesday December 6, the spacecraft was commanded to go to SAFE mode, in which it points at the sun, which will maintain power indefinitely. The spacecraft is now sun-pointing, indicating that the receiver and processor are working. Earth Probe has been operating on its backup transmitter since 1998 when the primary failed. The operations team tried to switching to the zenith antenna in hopes that the problem was the nadir antenna, but still no signal was received. This likely means that the transmitter has failed. At this point the probability of recovering looks poor but the Earth Probe team is still trying.\r\n\r\nBefore contact was lost with Earth Probe, there were calibration problems with EP TOMS and so in the view of the good performance of the Ozone Monitoring Instrument (OMI) on the AURA spacecraft, OMI data of ozone are now available for the entire OMI mission beginning with August 17, 2004 through the most recent data.\r\n\r\nIn addition to ozone data, OMI data for aerosol and reflectivity are available from August 17, 2004; images are available from here.\r\n" } ], "responsiblepartyinfo_set": [ 19800, 19805, 19799, 19802, 19803, 19804, 19806, 19801 ], "onlineresource_set": [ 5224, 5142 ] }, { "ob_id": 4108, "uuid": "73bdbc2013b80c66062a57ca1ec4e5c7", "title": "Total Ozone Mapping Spectrometer (TOMS) measurements from Earth Probe (1996-2005)", "abstract": "The Total Ozone Mapping Spectrometer (TOMS) is an instrument built and operated by the National Aeronautics and Space Administration (NASA). The instrument uses backscattered ultraviolet radiance to infer total column ozone measurements. The dataset consists of daily gridded averages of total ozone covering the entire globe, in the form of images, from NASA NIMBUS 7, Meteor-3, Earth Probe and ADEOS satellites. Data is from 1978 to 2006. The Ozone Monitoring Instrument (OMI) on the AURA spacecraft, OMI data of ozone are now available for the entire OMI mission. In addition to ozone data, OMI data for aerosol and reflectivity are available. These datasets are public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-01-01T06:32:05", "updateFrequency": "notPlanned", "dataLineage": "Total Ozone Mapping Spectrometer (TOMS) data were mirrored from GSFC NASA until saturday December 2, 2006, when contact with Earth Probe was lost.\r\nOzone Monitoring Instrument (OMI) data are continuously being mirrored at the BADC from NASA (since 2004).", "removedDataReason": "", "keywords": "TOMS, Ozone, Earth Probe", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-15T22:02:46", "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": 4109, "dataPath": "/badc/toms/data/earthprobe", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 621144636, "numberOfFiles": 3876, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 1165, "startTime": "1996-07-24T23:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 1030, "explanation": "Data quality controlled by NASA.\n\nTOMS - Total Calibration Error - The Version 8 algorithm is now used for all TOMS data. 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For data beginning in year 2000, the calibration has been stabilized relative to NOAA-16 SBUV/2 in the equatorial zone. Because of continuing changes in the optical properties of the front scan mirror that are not well understood, we are now seeing a latitude dependent error that cannot be corrected by a simple calibration correction. The calibration appears to be stable near the equator. But by 50 degrees latitude, there is now a -2% to -4% error in TOMS, a bit larger in the northern hemisphere than in the southern hemisphere. 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Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AURA; \n" }, "imageDetails": [ 64 ], "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": 456, "uuid": "4dc6e00a11f3c86bee4161b14470199f", "short_code": "proj", "title": "NASA - National Aeronautics and Space Administration", "abstract": "The National Aeronautics and Space Administration (NASA)'s mission is to pioneer the future in space exploration, scientific discovery, and aeronautics research." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21771, 22890, 25394 ], "vocabularyKeywords": [], "identifier_set": [ 2816 ], "observationcollection_set": [ { "ob_id": 4099, "uuid": "647386c0a0fcd1db244e14fbb689e9be", "short_code": "coll", "title": "Total Ozone Mapping Spectrometer (TOMS) and Ozone Monitoring Instrument (OMI): Global Daily Gridded Averaged of Total Column Ozone, Aerosol and Reflectivity Images", "abstract": "The Total Ozone Mapping Spectrometer (TOMS) is an instrument built and operated by the National Aeronautics and Space Administration (NASA). The instrument uses backscattered ultraviolet radiance to infer total column ozone measurements. The data consists of daily gridded averages of total ozone covering the entire globe. The original Nimbus-7 TOMS operated from November 1978 until May 1993. Meteor-3 TOMS was launched in August 1991 and operated until December 1994.\r\n\r\nAfter a gap of one and a half years, two new TOMS instruments began operation in 1996: Earth-Probe TOMS was launched on 2nd July 1996 and started to produce data on 25th July. ADEOS TOMS was launched on 17th August 1996 and started producing data on 11th September. The satellites were originally placed in different orbits, giving complete global coverage with the ADEOS data, while Earth-Probe had complete coverage at the poles with an increased ability to measure UV-absorbing aerosols in the troposphere. ADEOS failed in June 1997 and Earth-Probe was subsequently placed in a higher orbit to give global coverage.\r\n\r\nOn Saturday, december 2, 2006, contact with Earth Probe was lost. There has been no communication with the spacecraft since. The spacecraft is intact and Earth-oriented which mean that it is still operational and maintaining attitude. On Wednesday December 6, the spacecraft was commanded to go to SAFE mode, in which it points at the sun, which will maintain power indefinitely. The spacecraft is now sun-pointing, indicating that the receiver and processor are working. Earth Probe has been operating on its backup transmitter since 1998 when the primary failed. The operations team tried to switching to the zenith antenna in hopes that the problem was the nadir antenna, but still no signal was received. This likely means that the transmitter has failed. At this point the probability of recovering looks poor but the Earth Probe team is still trying.\r\n\r\nBefore contact was lost with Earth Probe, there were calibration problems with EP TOMS and so in the view of the good performance of the Ozone Monitoring Instrument (OMI) on the AURA spacecraft, OMI data of ozone are now available for the entire OMI mission beginning with August 17, 2004 through the most recent data.\r\n\r\nIn addition to ozone data, OMI data for aerosol and reflectivity are available from August 17, 2004; images are available from here.\r\n" } ], "responsiblepartyinfo_set": [ 19824, 19829, 19826, 19827, 19828, 19830, 19823, 19825 ], "onlineresource_set": [ 5229 ] }, { "ob_id": 4333, "uuid": "f1573e275fc7e2177943fb4e305f2537", "title": "QUAAC: CCMVAL-2 chemistry and climate model data", "abstract": "QUAAC was led by Prof John Pyle (University of Cambridge), with 11 co-investigators at the Universities of Sheffield, Leeds, York, Lancaster and Manchester, and from CEH.\r\n\r\nThis dataset includes results of the development and testing of chemistry and aerosol schemes to include in a climate model, a range of schemes to describe (interactively wherever possible) surface emissions of reactive trace gases, and new surface deposition schemes.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-12-04T16:20:03", "updateFrequency": "notPlanned", "dataLineage": "Data produced at Cambridge. They are CAM model output prepared for CCMVal Report on the Evaluation of Chemistry Climate Models.", "removedDataReason": "", "keywords": "QUEST, QUACC, chemistry, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-12-15T11:37:34", "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": 4334, "dataPath": "/badc/quest/data/quaac/ccmval2/Reference_Runs/REF-B0/CAM3.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11067854187, "numberOfFiles": 185, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 1235, "startTime": "2011-02-13T00:00:00", "endTime": "2031-01-13T00:00:00" }, "resultQuality": { "ob_id": 1100, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 4335, "uuid": "7c015977aa144376aab8337a774cfe69", "short_code": "comp", "title": "UK Chemistry Aerosol Community Model - UKCA deployed on Cambridge University computer", "abstract": "This computation involved: UK Chemistry Aerosol Community Model - UKCA deployed on Cambridge University computer. UKCA is a joint NCAS-Met Office programme funded by NCAS, GMR and DEFRA. Project partners are the Hadley Centre and the Universities of Cambridge and Leeds. 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QUAAC studied the role of surface processes on atmospheric oxidizing capacity and aerosol loading, building on an existing Met Office/NERC initiative to develop a new community model, UKCA, to study the interaction between climate and atmospheric composition.\r\n\r\nNew chemistry and aerosol schemes were developed for inclusion in the model. Schemes were also developed to describe (interactively wherever possible) surface emissions of reactive trace gases and deposition processes." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6853, 6854, 6855, 6856, 6857, 6865, 50415, 50417, 50426, 50559, 54088, 54634, 54635, 57143, 57144, 57145, 57146, 57147, 57148, 57149, 57150, 57152, 57153, 57154, 57155, 57156, 57157, 57158, 57159, 57160, 57161, 57162, 57163, 57164, 57165, 57166, 57167, 57168, 57169, 57170, 57171, 57172, 57173, 57174, 57175, 57176, 57177, 57178, 57179, 57180, 60438, 91277, 91278, 91279 ], "vocabularyKeywords": [], "identifier_set": [ 2904 ], "observationcollection_set": [ { "ob_id": 4332, "uuid": "e3fe07572c3535d23b1506c43ab62347", "short_code": "coll", "title": "QUACC: UK Chemistry and Aerosols (UKCA) Model Outputs", "abstract": "QUAAC was led by Prof John Pyle (University of Cambridge), with 11 co-investigators at the Universities of Sheffield, Leeds, York, Lancaster and Manchester, and from CEH.\r\n\r\nThe dataset collection includes results of the development and testing of chemistry and aerosol schemes to include in a climate model, a range of schemes to describe (interactively wherever possible) surface emissions of reactive trace gases, and new surface deposition schemes.\r\n\r\nCoupling between the chemistry/climate system and land surface processes are important controls on the atmosphere, but chemical schemes have only recently and simplistically been introduced into numerical models. QUAAC studied the role of surface processes on atmospheric oxidizing capacity and aerosol loading, building on an existing Met Office/NERC initiative to develop a new community model, UKCA, to study the interaction between climate and atmospheric composition.\r\n\r\nNew chemistry and aerosol schemes were developed for inclusion in the model. Schemes were also developed to describe (interactively wherever possible) surface emissions of reactive trace gases and deposition processes.\r\n" } ], "responsiblepartyinfo_set": [ 20583, 20582, 20585, 20586, 20587, 20588, 71777, 20584 ], "onlineresource_set": [ 1928, 15068, 15069 ] }, { "ob_id": 4337, "uuid": "f852267c34fa374797aff44a9556bd43", "title": "RAPID-RAPITT: Meteorology, Climatology and Ocean output from HECToR Model runs", "abstract": "RAPIT was looking at the problem of estimating the risk of the collapse of the overturning circulation. Using modern statistical methods for the analysis of complex numerical models, large ensembles of two Atmosphere Ocean General Circulation Models (HADCM3 and CHIME) were analysed.\r\n\r\nThis dataset contains meteorology, climatology and ocean outputs from ensemble runs xfel, xfgb, xfha and xgym.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T13:15:51", "updateFrequency": "notPlanned", "dataLineage": "Dataset produced from model runs on HECToR made by NOCS during 2010/11. 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Computation: SOC deployed on National Oceanography Center, Southampton (NOCS) Computer; \n" }, "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": 4339, "uuid": "3a3581ea8e34ec5843868c49a51cf8d5", "short_code": "proj", "title": "RAPID-WATCH - Risk Assessment, Probability and Impacts Team (RAPID-RAPIT)", "abstract": "RAPIT was looking at the problem of estimating the risk of the collapse of the overturning circulation. Using modern statistical methods for the analysis of complex numerical models, large ensembles of two Atmosphere Ocean General Circulation Models (HADCM3 and CHIME) will be analysed.\r\n\r\nStudies of large excursions of the strength of the overturning in existing control runs will be used to guide our choice of metrics and diagnostics.\r\n\r\nTo produce the large number of model runs that are required for the statistical analysis, the climateprediction.net system was used." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1319, 1320, 1321, 1322, 1323, 1325, 3063, 3064, 3143, 3148, 3574, 3575, 3576, 3690, 3691, 3692, 3693, 3694, 3695, 3696, 3697, 3698, 3699, 3700, 52405, 52415, 52419, 52424, 52446, 52448, 52484, 52488, 53874, 53875, 53876, 53877, 53880, 53883, 53886, 53887, 53890, 53891, 53892, 53893, 53894, 53899, 53901, 53903, 53904, 53905, 53910, 53911, 53912, 53913, 53914, 53915, 53916, 53917, 53918, 53925, 53926, 55188, 55189, 55394, 55395, 55396, 55397, 55398, 55399, 55400, 55401, 55402, 55403, 55404, 55405, 55406, 55407, 55408, 55409, 55410, 55411, 55412, 55413, 55414, 55415, 55416, 55417, 55418, 55419, 55420, 55421, 55422, 55423, 55424, 55425, 55426, 55427, 55428, 55429, 55430, 55431, 55432, 55433, 55434, 55435, 55436, 55437, 55438, 55439, 55440, 55441, 55442, 55443, 55444, 55445, 55446, 55447, 55448, 55449, 55450, 55451, 55452, 55453, 55454, 55455, 55456, 55457, 55458, 55459, 55460, 55461, 55462, 55463, 55464, 55465, 55466, 55467, 55468, 55469, 55470, 55471, 55472, 55473, 55474, 55475, 55476, 55477, 55478, 55479, 55480, 55481, 55482, 55483, 55484, 55485, 55486, 55487, 55488, 55489, 55490, 55491, 55492, 55493, 55494, 55495, 55496, 55497, 55498, 55499, 55500, 55501, 55502, 55503, 55504, 55505, 55506, 55507 ], "vocabularyKeywords": [], "identifier_set": [ 2909 ], "observationcollection_set": [ { "ob_id": 4336, "uuid": "15f063840e74bb8c3bb60be7db1c44fd", "short_code": "coll", "title": "RAPID-RAPIT: Meteorology, Climatology and Ocean model outputs", "abstract": "RAPIT was looking at the problem of estimating the risk of the collapse of the overturning circulation. Using modern statistical methods for the analysis of complex numerical models, large ensembles of two Atmosphere Ocean General Circulation Models (HADCM3 and CHIME) were analysed.\r\n\r\nThis dataset collection contains meteorology, climatology and ocean outputs from ensemble runs xfel, xfgb, xfha and xgym.\r\n\r\nStudies of large excursions of the strength of the overturning in existing control runs were used to guide the choice of metrics and diagnostics.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 20602, 20607, 20601, 20604, 20605, 20606, 20608, 20603, 72484 ], "onlineresource_set": [] }, { "ob_id": 4343, "uuid": "69611683b7185775cc765ee18de7c3b1", "title": "UARS CLAES data (1991-1993): Version 0007", "abstract": "The Cryogenic Limb Array Etalon Spectrometer (CLAES) measured vertical profiles of temperature and concentrations of ozone, methane, water vapour, nitrogen oxides, and other important species, including CFCs, in the stratosphere. CLAES also maps the horizontal and vertical distributions of aerosols in the stratosphere. These measurements are analysed to better understand the photochemical, radiative, and dynamical processes taking place in the ozone layer. This is the version of the data set as stored in the UCSS catalogue on the CDHF. The dataset contains CH4, NO, H20 and CF2Cl2 measurements . Data are level 3A product (gridded in time and latitude along the satellite track) between 80N - 80S, 10-60 Km, October 1991 - May 1993. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-11-19T17:43:54", "updateFrequency": "notPlanned", "dataLineage": "Data collected between the 1st October 1991 and the 5th May 1993 from 80°S to 80°N, by the Cryogenic Limb Array Etalon Spectrometer (CLAES). All data acquired as is from NASA for archiving at the BADC. The data are provided in UARS binary format, which can be retrieved by anonymous FTP or through this WWW interface. Software to convert this format to ASCII is available.", "removedDataReason": "", "keywords": "AEROSOLS ATMOSPHERE ATMOSPHERICWATERVAPOR ALTITUDE ATMOSPHERICTEMPERATURE ATMOSPHERICCHEMISTRY", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-17T21:11:52", "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": 4344, "dataPath": "/badc/claesl3/data/v0007", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1056890084, "numberOfFiles": 6209, "fileFormat": "Data are UARS binary formatted." }, "timePeriod": { "ob_id": 1236, "startTime": "1991-09-30T23:00:00", "endTime": "1993-05-04T23:00:00" }, "resultQuality": { "ob_id": 1102, "explanation": "Data quality controlled by NASA. Some information available in the CLAES doc directory.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 4347, "uuid": "9bff7009a5224e579b26cff3d99cf5b6", "short_code": "cmppr", "title": "Composite Process for: UARS CLAES data (1991-1993)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: UARS CLAES data (1991-1993); \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS); \n" }, "imageDetails": [ 67 ], "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": 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, 21817, 21823, 22341, 22409, 22411, 22412, 22413, 22414, 22415, 22416, 22417, 22418, 22420, 22421, 22422, 25383, 25385, 25386, 25388, 25394, 25395, 25396, 25397, 25398, 25399, 25400, 25403, 25890 ], "vocabularyKeywords": [], "identifier_set": [ 2916 ], "observationcollection_set": [ { "ob_id": 4342, "uuid": "1ae11ab1741c29c15ab58bbaeebc9550", "short_code": "coll", "title": "Cryogenic Limb Array Etalon Spectrometer (CLAES L3): Vertical temperature profiles and atmospheric particle concentration measurements", "abstract": "The Cryogenic Limb Array Etalon Spectrometer (CLAES) measured vertical profiles of temperature and concentrations of ozone, methane, water vapour, nitrogen oxides, and other important species, including CFCs, in the stratosphere. CLAES also maps the horizontal and vertical distributions of aerosols in the stratosphere. These measurements are analysed to better understand the photochemical, radiative, and dynamical processes taking place in the ozone layer. \r\n\r\nCLAES was built by an instrument team based at Lockheed Palo Alto and launched on the Upper Atmosphere Research Satellite (UARS) on 12th September 1991. CLAES had a design lifetime of 18 months, beginning on 1st October 1991 and ceasing operations on 5th May 1993. The Principal Investigator is Dr Aidan E. Roche. CLAES makes measurements of thermal emission from the Earth's limb in a number of spectral regions which are then used to derive stratospheric altitude profiles of temperature, pressure, ozone (O3), water vapour (H2O), methane (CH4), nitrous oxide (N2O), nitrogen oxide (NO), nitrogen dioxide (NO2), dinitrogen pentoxide (N2O5), nitric acid (HNO3), chlorine nitrate (ClONO2), CFCl3, CF2Cl2. Aerosol extinction coefficients are also calculated for each spectral region. Further details of the instrument are given in the BADC help file.\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. The vertical coverage of the measurements is from the tropopause to the lower mesosphere (10-60km). The range over which retrievals are valid is outlined in the help file.\r\n\r\nThe dataset contains measured global temperature, pressure, O3, H2O, CH4, N2O, NO, NO2, N2O5, HNO3, ClONO2, CFCl3, CF2Cl2 and aerosol extinction measurements. Data are level 3A product (gridded in time and latitude along the satellite track) between 80N - 80S, 10-60 Km, October 1991 - May 1993. This dataset is public." } ], "responsiblepartyinfo_set": [ 20622, 20627, 20624, 20625, 20626, 20628, 20621, 20623 ], "onlineresource_set": [] }, { "ob_id": 4349, "uuid": "7a62862f2f43c0bdf4e7d152b6cb59e4", "title": "Met Office stratospheric assimilated: standard assimilated data from 1991 to 2022", "abstract": "This dataset contains standard assimilated data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office. Data is provided from 1991 to 2022.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.\r\n\r\nThe global model producing this data was updated on July 11th 2017. Data from this date has an increased resolution of N1280L70: 2560 latitude x1920 longitude and vertical 70 levels (model top 80 km), see the documentation for full details.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-09-10T09:15:57", "latestDataUpdateTime": "2022-09-10T04:00:57", "updateFrequency": "daily", "dataLineage": "Data are sent from the Met Office and to the Centre for Environmental Data Analysis (CEDA) for long term archival. \r\n\r\nCEDA archive the Met Office Unified Model \"pp\" output files directly and additionally convert the raw \"pp\" files into NetCDF data files that are archived alongside the \"pp\" data.\r\n\r\n11-July-2017: On the 11th of July 2017 a new operational model came into use, this increased both the horizontal and vertical resolutions of the data. Additionally on this date, the \"pp\" to NetCDF format conversion tool was changed from Convsh for all files prior to this date to CF-Python to all NetCDF data from 2017-08-11.\r\n\r\n09-Jan-2020: From 2020 the archive will only hold the \"pp\" file format, conversion to NetCDF will no longer occur. Historical NetCDF files will remain on the archive but conversions will no longer be performed after this date.\r\n\r\n10-Sep-2022: Updates for this data have been discontinued due to low data usage.", "removedDataReason": "", "keywords": "Met Office, meteorology, statospheric, uars, assim, assimilated", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-05T17:09:44", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 4350, "dataPath": "/badc/ukmo-assim/data/standard/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11021442101975, "numberOfFiles": 25012, "fileFormat": "Data are PP formatted" }, "timePeriod": { "ob_id": 11416, "startTime": "2006-03-03T00:00:00", "endTime": "2022-09-10T00:00:00" }, "resultQuality": { "ob_id": 1103, "explanation": "See dataset associated documentation.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 4351, "uuid": "2382e4b219fd4cd7993e95dd37c3a574", "short_code": "comp", "title": "Met Office Extended Operational NWP model deployed on Met Office supercomputer (Exeter)", "abstract": "This computation involved: Met Office Extended Operational NWP model deployed on Met Office supercomputer (Exeter). The version of the Unified Model (UM) model currently being used for stratospheric data assimilation is the 50-level troposphere-stratosphere configuration. 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The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.\r\n\r\nThese data consist of 3-dimensional gridpoint analyses of temperature, geopotential height and wind components fields at 2.5 x 3.75 degree resolution from the ground to 0.3 hPa (for the period from 17th October 1991 (UARS day 36) to 2006-03-13) and on a smaller grid size 0.5625 degree x 0.375 degree on 27 (or 26 depending on variable) pressure levels, (note, this does not apply for the UARS versions of the data files), for the period 2006-03-03 to present day." } ], "responsiblepartyinfo_set": [ 20640, 20639, 20645, 20642, 20643, 20644, 20646, 20641, 55440, 169558, 199761 ], "onlineresource_set": [ 23671, 23670, 23672, 23673 ] }, { "ob_id": 4352, "uuid": "0520984a654300a1e95b324e1b2ca416", "title": "Met Office stratospheric assimilated: mean data from 1991 to 2006", "abstract": "This dataset contains mean data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. 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The observations cumulate in around 10,000 reports a day, giving measurements of parameters such as wind speed and direction, maximum and minimum air temperature, sunshine duration, rainfall accumulation, and cloud type. The data are collected by observation stations worldwide and transmitted within the ship SYNOP message.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-07-18T07:15:11", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. 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All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2748, 7063, 7064, 7065, 7066, 7067, 7068, 7069, 7070, 7071, 7072, 7073, 7074, 7075, 7076, 7077, 7078, 7079, 7080, 7081, 7082, 7083, 7084, 7085, 7086, 7087, 7088, 7089, 7090, 7091, 7092, 7093, 7094, 7095, 7096, 7097, 7098, 7099, 7100, 7101, 7102, 7103, 7104, 7105, 7106, 7107, 7108, 7109, 7110, 7111, 7112, 7113, 7114, 7115, 7116, 7117, 7118, 7119, 7120, 7121, 7122, 7123, 7124, 7125, 7126, 7127, 7128, 7129, 7130, 7131, 7132, 7133, 7134, 7135, 7136, 7137, 7138, 7139, 7140, 7141, 7142, 7143, 7144, 7145, 7146, 7147, 7148, 7149, 7150, 7151, 7152, 7153, 7154, 7155, 7156, 7157, 7158, 7159, 7160, 7161, 7162, 7163, 7164, 7165, 7166, 7167, 7168, 7169, 7170, 7171, 7172, 7173, 7174, 7175, 7176, 7177, 7178, 7179, 7180, 7181, 7182, 7183, 7184, 7185, 7186, 7187, 7188, 7189, 7190, 7191, 7192, 7193, 7194, 7195, 7196, 7197, 7198, 7199, 7200, 7201, 7202, 7203, 7204, 7205, 7206, 7207, 7208, 7209, 7210, 7211, 7212, 7213, 7214, 7215, 7216, 7217, 7218, 7219, 7220, 7221, 7222, 7223, 7224, 7225, 7226, 7227, 7228, 7229, 7230, 7231, 7232, 7233, 7234, 7235, 7236, 7237, 7238, 7239, 7240, 7241, 7242, 7243, 7244, 7245, 7246, 7247, 7248, 7249, 7250, 7251, 7252, 7253, 7254, 7255 ], "vocabularyKeywords": [], "identifier_set": [ 2962 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20786, 20788, 20789, 20790, 20792, 42395, 42396, 20787 ], "onlineresource_set": [ 1960, 5032, 5033, 1961 ] }, { "ob_id": 4407, "uuid": "9f80d42106ba708f92ada730ba321831", "title": "LAND SYNOP reports from land stations collected by the Met Office MetDB System", "abstract": "The land based SYNOP messages measurements describe hourly observations from land stations distributed globally. The observations cumulate in around 60,000 reports a day, giving measurements of parameters such as wind speed and direction, maximum and minimum air temperature, sunshine duration, rainfall accumulation, and cloud type. The data are collected by observation stations worldwide and transmitted within the land SYNOP message.\r\n\r\nData are extracted from the Met Office's MetDB system before being sent to CEDA for archiving. These extractions occur at the 4 principal synoptic periods (00-06, 06-12, 12-18 and 18-00 UT).\r\n\r\nThe dataset contains a range of measurements including:\r\n\r\n - Wind speed and wind direction\r\n - Maximum and minimum air and grass temperature\r\n - Horizontal and vertical visibility\r\n - Snow depth\r\n - Dew-point temperature\r\n - Relative humidity\r\n - 3 -hour pressure change\r\n - Height and period of wind waves\r\n - Cloud height and type\r\n - Radiation in last 24 hours\r\n - Maximum gust period\r\n - Past and present weather\r\n - Rainfall accumulation\r\n - Precipitation amount\r\n - Sunshine duration\r\n\r\nThe wind speed and vertical gust speed are given to the nearest metre per second, and the vertical gust acceleration to the nearest metre per second squared. The wind direction from which the wind blows is measured in Degrees (true). The entry for an east wind is 090, for a south wind it is 180 and so on clockwise. Note that zero values in both wind speed and wind direction fields indicate that there was no wind blowing at the time of observation.\r\n\r\nThe air temperature, grass temperature and dew-point temperature are measured in Kelvin.\r\n\r\nThe cloud height, visibility, snow depth, and wind-wave height are given in metres.\r\n\r\nSunshine duration is recorded over 24 hours and over one hour. For the former, the measurement is in hours, but for the latter the measurement is in minutes.\r\n\r\nThe past weather is recorded as a number between 0-9 which details what the weather has been like in the last 6 hours for observations at 00, 06, 12, 1800 UTC, the last 3 hours for observations at 03, 09, 15, 2100 UTC and the previous hour at any other times. The past weather is only recorded when a manual observation is done at the station.\r\n\r\nThe relative humidity is measured as a percentage.\r\n\r\nDocumentation and Links to further information and references (see linked documentation on this record):\r\nSome general information about surface station readings can be obtained from the abridged version of \"MIDAS Data Users Guide\", provided by the Met Office. This document describes the meteorological surface data in the Met Office Database - MIDAS. This guide is rich in information and is aimed at those with little familiarity with observing methods or instrumentation.\r\n\r\nDetails of the WMO Meteorological codes used at weather observing stations (daily and hourly weather) explain the codes used in this dataset further.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-07-18T07:15:09", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. 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All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 7063, 7065, 7067, 7068, 7069, 7071, 7072, 7074, 7076, 7077, 7078, 7079, 7080, 7081, 7082, 7083, 7084, 7087, 7089, 7090, 7091, 7092, 7093, 7094, 7095, 7096, 7097, 7098, 7099, 7100, 7103, 7104, 7105, 7106, 7107, 7108, 7109, 7110, 7111, 7112, 7114, 7115, 7116, 7118, 7119, 7120, 7123, 7124, 7125, 7126, 7127, 7128, 7130, 7131, 7132, 7133, 7134, 7135, 7136, 7137, 7138, 7139, 7144, 7146, 7147, 7149, 7150, 7151, 7152, 7153, 7155, 7156, 7159, 7160, 7161, 7162, 7163, 7255, 7256, 7257, 7258, 7259, 7260, 7261, 7262, 7263, 7264, 7265, 7266, 7267, 7268, 7269, 7270, 7271, 7272, 7273, 7274, 7275, 7276, 7277, 7278, 7279, 7280, 7281, 7282, 7283, 7284, 7285, 7286, 7287, 7288, 7289, 7290, 7291, 7292, 7293, 7294, 7295, 7296, 7297, 7298, 7299, 7300, 7301, 7302, 7303, 7304, 7305 ], "vocabularyKeywords": [], "identifier_set": [ 2966 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20795, 20797, 20798, 20799, 20801, 43090, 43091, 20796 ], "onlineresource_set": [ 5034, 1963, 1964, 83112 ] }, { "ob_id": 4410, "uuid": "cea4f08cec2e55a381d643b806b36c84", "title": "Radio Acoustic Sounding System (RASS) Messages, Part of the Met Office MetDB System", "abstract": "The Radio Acoustic Sounding System (RASS) messages data describe hourly observations from around 120 stations distributed globally. The observations, which are later transmitted in reports, give measurements of parameters such as wind speed, and temperature. The data are collected by observation stations worldwide and transmitted within the RASS message.\r\n\r\nData are extracted daily at around 00 UT from the Met Office's MetDB system for the previous day's coverage.\r\n\r\nThe dataset contains measurements of the following parameters:\r\n\r\n - Station height (in m)\r\n - Virtual temperature (in Kelvin)\r\n - Wind w velocity component (in m/s)\r\n - Signal to noise ratio\r\n\r\nSee linked documentation for general information about surface station readings can be obtained from the abridged version of \"MIDAS Data Users Guide\", provided by the Met Office. This document describes the meteorological surface data in the Met Office Database - MIDAS. This guide is rich in information and is aimed at those with little familiarity with observing methods or instrumentation. Details of the WMO Meteorological codes used at weather observing stations (daily and hourly weather) explain the codes used in this dataset further are also linked to on this record.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-12-28T07:15:22", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to Centre for Environmental Data Analysis. These are then processed to generate BADC-CSV files, where possible.", "removedDataReason": "", "keywords": "Met Office, MetDB, RASS, profile, meteorology, temperature, wind speed, wind direction", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-08T14:01:18", "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": 4411, "dataPath": "/badc/ukmo-metdb/data/rass", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3198199183, "numberOfFiles": 5418, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": { "ob_id": 1255, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1119, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. Thus, for historic data the MIDAS dataset is the recommended dataset to use for surface observations.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4414, "uuid": "0f6e4c9839e04606bbfc0e48ee88fdc5", "short_code": "acq", "title": "Acquisition Process for: Radio Acoustic Sounding System (RASS) Messages, Part of the Met Office MetDB System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Radio Acoustic Sounding Systems; PLATFORMS: RASS (Radio Acoustic Sounding System) Station Network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 4405, "uuid": "818e96fb071e65f0be661f45f0cf9a7a", "short_code": "proj", "title": "Met Office's MetDB system", "abstract": "Since the early days of this century the Met Office has been responsible for maintaining the public memory of the weather. All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 51162, 51163, 51164, 51165, 51166, 51167 ], "vocabularyKeywords": [], "identifier_set": [ 2967 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20803, 20805, 20806, 20807, 20809, 43892, 43893, 20804 ], "onlineresource_set": [ 1968, 1966, 1967 ] }, { "ob_id": 4415, "uuid": "9e22544a66ba7aa902ae431b1ed609d6", "title": "Wind Profiler Observations, Part of the Met Office MetDB System", "abstract": "The wind profiler observations describe hourly observations from around 400 Wind profiler stations distributed globally. The observations cumulate in around 10,000 reports a day, giving measurements of parameters such as the different components of wind velocity, and the standard deviations of vertical and horizontal wind speeds. The data are collected by observation stations worldwide and transmitted within the WINPRO message.\r\n\r\nWind speeds are given to the nearest metre per second.\r\nAir temperature is measured in Kelvin.\r\nPrecipitation amount is given in kilograms per metre squared.\r\nAir pressure is given in Pascals.\r\nRelative humidity is measured as a percentage.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T07:15:12", "updateFrequency": "daily", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to the Centre for Environmental Data Analysis (CEDA). These are then processed to generate BADC-CSV files, where possible.", "removedDataReason": "", "keywords": "Met Office, MetDB, Wind profiler, wind speed, wind direction, SNR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "series of point locatons", "status": "ongoing", "dataPublishedTime": "2008-08-08T14:01:44", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 4416, "dataPath": "/badc/ukmo-metdb/data/winpro", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 308021730677, "numberOfFiles": 5796, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\n<p> The file format for the <a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/winpro.html\"> wind profiler observations table</a>, describes what each column in the data table represents.</p>\n<p>Ingest scripts run at the BADC every 20 minutes, converting the incoming files to the self describing BADC-CSV format, but neither the processed or raw data are placed into archive until the following day.</p>\n\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1256, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1120, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. 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Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6866, 6867, 6868, 6869, 6870, 6871, 6872, 6873, 6874, 6875, 6876 ], "vocabularyKeywords": [], "identifier_set": [ 2970 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20821, 20815, 43076, 43077, 20817, 20818, 20819, 20816 ], "onlineresource_set": [ 1972, 1973, 37071 ] }, { "ob_id": 4420, "uuid": "33f44351f9ceb09c495b8cef74860726", "title": "AMDAR (Aircraft Meteorological Data Relay) reports collected by the Met Office MetDB System", "abstract": "The Aircraft Meteorological Data Relay (AMDAR) measurements describe hourly observations from aircraft across the world during all stages of flight. The observations cumulate into 160,000 reports a day, giving measurements of parameters such as aircraft characteristics, wind speed and direction, degree of turbulence, and air temperature. The data are collected by observation stations worldwide and transmitted within the AMDAR message, which prior to March 1992, was known as ASDAR(Aircraft to Satellite Data Relay).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T07:15:06", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, AMDAR, meteorological data", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-08T14:00:43", "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": 4421, "dataPath": "/badc/ukmo-metdb/data/amdars", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 785582432351, "numberOfFiles": 5808, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\n<p> The file format for the <a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/amdars.html\"> Aircraft Meteorological Data Relay data table</a>, describes what each column in the data table represents.</p>\n\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1258, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1121, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. Thus, for historic data the MIDAS dataset is the recommended dataset to use for surface observations.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4423, "uuid": "50555bd9c9fc42a6899f4d22ec58d867", "short_code": "acq", "title": "Acquisition Process for: Aircraft Meteorological Data Relay, Part of the Met Office MetDB System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Anemometer, Thermometer, Humidity Sensor, Barometer; PLATFORMS: AMDARs (Aircraft Meteorological Data Relay) Network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 4405, "uuid": "818e96fb071e65f0be661f45f0cf9a7a", "short_code": "proj", "title": "Met Office's MetDB system", "abstract": "Since the early days of this century the Met Office has been responsible for maintaining the public memory of the weather. 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Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54187, 54189, 54192, 60816, 69076, 69077, 81079, 81080, 81081, 81082, 81083, 81084, 81085, 81086, 81087, 81088, 81089, 81090, 81091, 81092, 81093, 81094, 81095, 81096, 81097, 81098, 81099, 81100, 81101, 81102, 81103, 81104, 81105, 81106, 81107, 81108, 81109, 81110 ], "vocabularyKeywords": [], "identifier_set": [ 2973 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20827, 20829, 20830, 20831, 20833, 41725, 41726, 20828 ], "onlineresource_set": [ 1977 ] }, { "ob_id": 4424, "uuid": "46c2a680fa9596f30f67613b39e1e1a6", "title": "CLIMAT Reports collected by the Met Office MetDB System", "abstract": "The CLIMAT reports describe monthly climate observations by WMO (World Meteorological Organisation) Climate Reference Stations of which there are currently 20 in the UK and some 400 worldwide. The observation stations measure parameters such as monthly mean air temperature, monthly mean vapour pressure, total sunshine for the month, and total precipitation for the month. NOTE - these data are provided as-is from the Met Office and so will need converting form the CLIMAT message format.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-13T07:15:05", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. 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More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1260, "startTime": "2010-05-31T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1122, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. 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All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 2975 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20837, 20839, 20840, 20841, 20843, 41945, 41946, 20838 ], "onlineresource_set": [] }, { "ob_id": 4427, "uuid": "297b7eec7ef57e025323856166aa4ee5", "title": "METAR Reports collected by the Met Office MetDB System", "abstract": "The METAR reports describe hourly observations from 562 observation stations across the globe, including 131 UK stations. The data are produced by Synoptic observations for aviation purposes, giving measurements of parameters such as cloud amount, wind speed and direction, visibility, present weather, and maximum gust speed. The data are collected by observation stations worldwide and transmitted within the METAR message.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T07:15:08", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, METAR, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-10T08:59:50", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 81, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 4428, "dataPath": "/badc/ukmo-metdb/raw/metars", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21375380234, "numberOfFiles": 23338, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\n<p>Ingest scripts run at the BADC every 20 minutes, converting the incoming files to the self describing BADC-CSV format, but neither the processed or raw data are placed into archive until the following day.</p>\n\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1262, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1123, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. Thus, for historic data the MIDAS dataset is the recommended dataset to use for surface observations.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4429, "uuid": "3ffec1d6109248088c73b573ecaebb1f", "short_code": "acq", "title": "Acquisition Process for: METAR Reports, Part of the Met Office MetDB System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Cloud Recorder, Visiometer, Station Observer, Anemometer, Thermometer, Barometer, Present (and Past) Weather Sensor; PLATFORMS: METAR (MEteorological Terminal Aviation Routine Weather Report) Station Network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 4405, "uuid": "818e96fb071e65f0be661f45f0cf9a7a", "short_code": "proj", "title": "Met Office's MetDB system", "abstract": "Since the early days of this century the Met Office has been responsible for maintaining the public memory of the weather. 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CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20845, 20848, 20849, 20851, 41632, 41633, 20847, 20846 ], "onlineresource_set": [ 5349 ] }, { "ob_id": 4430, "uuid": "5f6134ae325aa8a719c90bd6e8dc314e", "title": "TEMP records collected by the Met Office MetDB System", "abstract": "TEMP records describes measurements reported up to four times daily by radiosondes at worldwide fixed land stations. The radiosondes measure parameters such as atmospheric pressure, temperature, humidity, and wind speed and direction. The data are measured from the surface to approximately 20-30 km, and measurements are usually taken every 2 seconds. These data are provided from the Met Office as-is requiring each message part to be brought together to form each profile.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T07:15:15", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, TEMP, profile, temperature, humidity, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-10T13:01:26", "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": 4431, "dataPath": "/badc/ukmo-metdb/raw/temp", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5510120726, "numberOfFiles": 23246, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. 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These data are provided as-is from the Met Office and so will need the message components bringing together for each ascent\r\n\r\nThe PILOT data contain the following observations:\r\n\r\nWind speed at standard pressure levels\r\nVertical wind shear\r\nMaximum wind level\r\nThe data comprise vertical profiles of temperature, dew-point temperature, wind speed and wind direction at standard and significant pressure levels. The standard pressure levels are 850, 700, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20 and 10 hPa. Significant pressure levels are calculated according to the Met Office criteria and constitute levels at which significant events occur in the profile, e.g temperature inversions.\r\n\r\nThe data are measured from the surface to approximately 20-30 km. Generally there are up to 4 ascents per day from each station, though some sites may only have 1 or 2 ascents. Ascent times are typically around 00, 06, 12 and 18 UT.\r\n\r\nA maximum wind level is defined as a level at which the wind speed is greater than that observed immediately above and below that level..", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T07:15:12", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, PILOT, profiles, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-10T14:16:28", "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": 4435, "dataPath": "/badc/ukmo-metdb/raw/pilot", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 886962338, "numberOfFiles": 23314, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1265, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1125, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. 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All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. 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CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20863, 20865, 44493, 44494, 20866, 20867, 20869, 108299, 20864, 108300 ], "onlineresource_set": [ 24420, 24421 ] }, { "ob_id": 4438, "uuid": "95e747dfe2f601c6e62cba10076c4061", "title": "Ozone Profiler Data, Part of the Met Office MetDB System", "abstract": "The ozone profiler data describes weekly measurements reported by an ozonesonde at a fixed land station at Lerwick. The dataset contains atmospheric profiles of ozone concentrations. The data are measured from the surface to up to 40 km, and transmitted from the ozonesonde via a radio link to a ground receiving station.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-03-10T11:55:12.864113", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, Ozone, Profiler", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-13T11:10:02", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 82, "bboxName": "", "eastBoundLongitude": -1.183, "westBoundLongitude": -1.183, "southBoundLatitude": 60.139, "northBoundLatitude": 60.139 }, "verticalExtent": null, "result_field": { "ob_id": 4439, "dataPath": "/badc/ukmo-metdb/raw/ozoneprf/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 332618, "numberOfFiles": 216, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n\r\n<a id=\"MessageTables\" name=\"MessageTables\"><h4>Message Tables</h4></a>\r\n\r\n<p>\r\nThe Met Office MetDB holds data from a variety of different message types covering observations from satellites, profiling instruments (e.g. radiosondes and wind profilers) and surface based observations (e.g land meteorological recording stations). The BADC has obtained access to an number of the message types that should be of greatest use to the atmospheric research community and the data are stored in a the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format</a>, which is comma separated, plain text, \"human\" readable and self describing. <br /><br />\r\nThe following message types are available through the BADC. Follow the links to see the appropriate table detailing the elements within each message type:\r\n</p>\r\n<table align=\"center\" border=\"1\" cellspacing=\"0\" width=\"55%\">\r\n <tbody><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b><i>Message Name</i></b></td>\r\n <td valign=\"TOP\" width=\"20%\"><b><i>Description &amp; Link</i></b></td>\r\n\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>AMDARs</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/amdars.html\">Aircraft Meteorological Data Relay</a></td>\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>LNDSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/lndsyn.html\">Land based SYNOP messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>RASS</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/rass.html\">Radio Acoustic Sounding System messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>SHPSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/shpsyn.html\">Ship based SYNOP messages</a> (including buoy and fixed platform)</td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>WINPRO</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/winpro.html\">Wind profiler observations </a></td>\r\n </tr></tbody></table>\r\n<br />\r\n\r\n<h4>File Format</h4>\r\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\r\n\r\n<p>As the data are held as comma separated variable the file should load automatically into programmes such as Microsoft Excel. Alternatively see the following webguide on how to read a text file into Excel:</p>\r\n<table>\r\n<tbody><tr><td><a href=\"http://badc.nerc.ac.uk/web_guides/csv_to_excel_demo_skin.swf\" target=\"blank\"><img align=\"absmiddle\" alt=\"view guide\" border=\"0\" src=\"http://badc.nerc.ac.uk/graphics/logos/small/wgclapper_icon.png\" /></a></td><td><i>How to convert a text file to Excel.</i></td></tr>\r\n</tbody></table>\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 1266, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1126, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. Thus, for historic data the MIDAS dataset is the recommended dataset to use for surface observations.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4441, "uuid": "0c16317b511d441baa732ce1727d3cca", "short_code": "acq", "title": "Acquisition Process for: Ozone Profiler Data, Part of the Met Office MetDB System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Ozonesondes; PLATFORMS: OZONEPROF Station Network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 4405, "uuid": "818e96fb071e65f0be661f45f0cf9a7a", "short_code": "proj", "title": "Met Office's MetDB system", "abstract": "Since the early days of this century the Met Office has been responsible for maintaining the public memory of the weather. All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 2981 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20873, 20876, 20877, 20879, 42968, 42969, 20875, 20874 ], "onlineresource_set": [ 1986 ] }, { "ob_id": 4442, "uuid": "fd1f0377eef5b47ca4e3d889d5d84987", "title": "Ozone Satellite Data, Part of the Met Office MetDB System", "abstract": "The ozone satellite data describe ozone measurements deduced from satellite data. The dataset contains atmospheric profiles of ozone concentrations. The data are measured by satellites and around 2700 observations are made per day.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-04-24T09:15:20", "updateFrequency": "continual", "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataReason": "", "keywords": "Met Office, MetDB, Ozone, Satellite", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-13T11:20:30", "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": 4443, "dataPath": "/badc/ukmo-metdb/data/ozonesat/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 314782643423, "numberOfFiles": 2728, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n\r\n<a id=\"MessageTables\" name=\"MessageTables\"><h4>Message Tables</h4></a>\r\n\r\n<p>\r\nThe Met Office MetDB holds data from a variety of different message types covering observations from satellites, profiling instruments (e.g. radiosondes and wind profilers) and surface based observations (e.g land meteorological recording stations). The BADC has obtained access to an number of the message types that should be of greatest use to the atmospheric research community and the data are stored in a the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format</a>, which is comma separated, plain text, \"human\" readable and self describing. <br /><br />\r\nThe following message types are available through the BADC. Follow the links to see the appropriate table detailing the elements within each message type:\r\n</p>\r\n<table align=\"center\" border=\"1\" cellspacing=\"0\" width=\"55%\">\r\n <tbody><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b><i>Message Name</i></b></td>\r\n <td valign=\"TOP\" width=\"20%\"><b><i>Description &amp; Link</i></b></td>\r\n\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>AMDARs</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/amdars.html\">Aircraft Meteorological Data Relay</a></td>\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>LNDSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/lndsyn.html\">Land based SYNOP messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>RASS</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/rass.html\">Radio Acoustic Sounding System messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>SHPSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/shpsyn.html\">Ship based SYNOP messages</a> (including buoy and fixed platform)</td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>WINPRO</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/winpro.html\">Wind profiler observations </a></td>\r\n </tr></tbody></table>\r\n<br />\r\n\r\n<h4>File Format</h4>\r\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\r\n\r\n<p>As the data are held as comma separated variable the file should load automatically into programmes such as Microsoft Excel. Alternatively see the following webguide on how to read a text file into Excel:</p>\r\n<table>\r\n<tbody><tr><td><a href=\"http://badc.nerc.ac.uk/web_guides/csv_to_excel_demo_skin.swf\" target=\"blank\"><img align=\"absmiddle\" alt=\"view guide\" border=\"0\" src=\"http://badc.nerc.ac.uk/graphics/logos/small/wgclapper_icon.png\" /></a></td><td><i>How to convert a text file to Excel.</i></td></tr>\r\n</tbody></table>\r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 1267, "startTime": "2009-04-30T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 1127, "explanation": "Land and ship SYNOP messages undergo some quality control at the Met Office, but these messages are not as rigorously checked as they are within the MIDAS system into which the data are later migrated. Thus, for historic data the MIDAS dataset is the recommended dataset to use for surface observations.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4445, "uuid": "3d86f677f1234597a8113128fe05b7a9", "short_code": "acq", "title": "Acquisition Process for: Ozone Satellite Data, Part of the Met Office MetDB System", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Solar Backscatter UltraViolet (SBUV) Instrument; PLATFORMS: OZONESAT Station Network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2532, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licence": { "ob_id": 12, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } }, { "ob_id": 2533, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licence": { "ob_id": 13, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": [ { "ob_id": 5, "classification": "policy" } ] } } ], "projects": [ { "ob_id": 4405, "uuid": "818e96fb071e65f0be661f45f0cf9a7a", "short_code": "proj", "title": "Met Office's MetDB system", "abstract": "Since the early days of this century the Met Office has been responsible for maintaining the public memory of the weather. All meteorological observations made in the UK and over neighbouring sea areas have been carefully recorded and placed in an archive where they may be accessed today by those with an interest in the weather and where they will also be available to those in future generations. The MetDB database holds data including surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements. Data stored by the BADC in the MetDB database extends back to 2009." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 11476, 11477, 11478 ], "vocabularyKeywords": [], "identifier_set": [ 2983 ], "observationcollection_set": [ { "ob_id": 4355, "uuid": "8ee156b6ed41b153e85dbf02a4134513", "short_code": "coll", "title": "Met Office MetDB system: Surface, upper air and satellite data", "abstract": "Observational data extracted from the Met Office's MetDB system. Data include surface and upper air observations and some satellite data. These data are from a number of different message types covering data from land and ship surface data measurements through to upper air observations from wind profilers, radiosonde ascents and aircraft measurements and also satellite measurements.\r\n\r\nData arrive at the Met Office as per standard messages transmitted from source (e.g. SYNOP, METARS, TEMP message types) and are then decoded within the MetDB system. CEDA receives a text output from the MetDB system of these deciphered messages which are then processed into the BADC-CSV format where possible. Messages are split up by observation date at this stage. METARS and CLIMAT data are not decoded by the Met Office and are stored as per the original message. Details about the contents of each message type are given in the links in the 'online resources' section of this record. \"Raw\" data for all message types are available through the /raw folder within the archive. Each raw file contains messages received within a given period of time at the Met Office and are not sorted by observation date." } ], "responsiblepartyinfo_set": [ 20883, 20885, 20886, 20887, 20889, 44593, 44594, 20884 ], "onlineresource_set": [] }, { "ob_id": 4447, "uuid": "657b2c9f2c451d15a6afd5e3dc936f77", "title": "RAPID: Unified Model temperature and humidity data from xbzlf run", "abstract": "Data from \"The impact of climate change on the North Atlantic and European storm-track and blocking\" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 2 - NE/C509115/1 - Duration 14 Mar 2005 - 13 Mar 2008) led by Prof Sir Brian Hoskins of Imperial College London, Grantham Institute for Climate Change, with co-investigators also at the University of Reading.\r\n\r\nThis dataset collection contains Unified Model climate temperature and humidity outputs from model run xbzlf.\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": "2020-06-05T19:53:25", "updateFrequency": "asNeeded", "dataLineage": "Data from University of Reading.", "removedDataReason": "", "keywords": "RAPID, Climate change, Atlantic Ocean's Thermohaline Circulation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T15:31:52", "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": 4448, "dataPath": "/badc/rapid/data/Hoskins_Rapid1_Round2/xbzlf/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 161504812323, "numberOfFiles": 1659, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5003, "startTime": "1978-12-01T00:00:00", "endTime": "2008-11-27T23:59:59" }, "resultQuality": { "ob_id": 1128, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 7778, "uuid": "88ffbb773ccd437396df15fff0ad1675", "short_code": "comp", "title": "Met Office operational unified model (UM) deployed on unknown computer", "abstract": "This computation involved: Met Office operational unified model (UM)." }, "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": 19094, "uuid": "066f7506840c46609504a78f65f55958", "short_code": "proj", "title": "RAPID Round 2: The impact of climate change on the North Atlantic and European storm-track and blocking", "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\nThe major impact of climate change in the European region is likely to be through changes in the storms coming through from the North Atlantic storm-track and in the blocking high-pressure systems that can occur there. Changes in the latitude, frequency or intensity of storms would have implications in terms of flooding and wind damage as well as average precipitation. Blocking highs bring settled spells with little precipitation and temperatures that can be much above average in summer and below average in winter, sometimes with snow. Again changes in their position, frequency or intensity would have important impacts. Reduction in the strength of the thermohaline circulation in the North Atlantic could induce rapid climate change through its impact on the storm-track and blocking. Even smoothly increasing greenhouse gases could lead to rapid changes in the storm-track and blocking either through a reduced thermohaline circulation or a non-linear response. At present there is little confidence in the climate models' abilities to project such changes. In this project, new high-resolution atmospheric models, new analyses of the atmosphere since 1958 and new diagnostic techniques have been used to give such projections and an assessment of the confidence that can be had in them." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1321, 1322, 1323, 1324, 1325, 3064, 3105, 3143, 3148, 3692, 3695, 3696, 3697, 3698, 3700, 3701, 6877, 6878, 6879, 6880, 7000, 7001, 7002, 51586, 51594, 53779, 53780, 53781, 53782, 53783, 53784, 53785, 53786, 53787, 53788, 53789, 53790, 53791, 53792, 53793, 53794, 53795, 53796, 53797, 53800, 53801, 53802, 53803, 53804, 53805, 53806, 53807, 53808, 53809, 53810, 53811, 53812, 53813, 53814, 53815, 53816, 53817, 53818, 53819, 53820, 53821, 53822, 53823, 53824, 53825, 53826, 53827, 53828, 53829, 53830, 53831, 53832, 53833, 53834, 53835, 53836, 53837, 53838, 53839, 53840, 53841, 53842, 53843, 53844, 53845, 53846, 53847, 53848, 53849, 53850, 53851, 53852, 53853, 53854, 53855, 53856, 53857, 53858, 53859, 53860, 53861, 53862, 53863, 53864, 53865, 53866, 53867, 53868, 53869, 53870, 53871, 53872, 53873, 53874, 55779, 60799 ], "vocabularyKeywords": [], "identifier_set": [ 2987 ], "observationcollection_set": [ { "ob_id": 4446, "uuid": "845971bcf1e40c306ec8d944f57aa3d4", "short_code": "coll", "title": "RAPID The Impact of Climate Change on the North Atlantic and European Storm-Track and Blocking Model output data", "abstract": "Data from \"The impact of climate change on the North Atlantic and European storm-track and blocking\" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 2 - NE/C509115/1 - Duration 14 Mar 2005 - 13 Mar 2008) led by Prof Sir Brian Hoskins of Imperial College London, Grantham Institute for Climate Change, with co-investigators also at the University of Reading.\r\n\r\nThis dataset collection contains climate model outputs from model runs xbzlf, xbzlg, xcpub, xcpuc, xcpud, xctf and xcth.\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\r\nThe major impact of climate change in the European region is likely to be through changes in the storms coming through from the North Atlantic storm-track and in the blocking high-pressure systems that can occur there. Changes in the latitude, frequency or intensity of storms would have implications in terms of flooding and wind damage as well as average precipitation. Blocking highs bring settled spells with little precipitation and temperatures that can be much above average in summer and below average in winter, sometimes with snow. Again changes in their position, frequency or intensity would have important impacts. Reduction in the strength of the thermohaline circulation in the North Atlantic could induce rapid climate change through its impact on the storm-track and blocking. Even smoothly increasing greenhouse gases could lead to rapid changes in the storm-track and blocking either through a reduced thermohaline circulation or a non-linear response. At present there is little confidence in the climate models' abilities to project such changes. 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The 7 m sonic was mounted on a Clark QTM mast.\r\n ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-04-12T14:25:27", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T14:01:54", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 713, "bboxName": "", "eastBoundLongitude": -1.445, "westBoundLongitude": -1.445, "southBoundLatitude": 51.33, "northBoundLatitude": 51.33 }, "verticalExtent": null, "result_field": { "ob_id": 4754, "dataPath": "/badc/csip/data/salford-sonic-2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 774713741, "numberOfFiles": 38, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 1350, "startTime": "2005-07-20T23:00:00", "endTime": "2005-08-24T23:00:00" }, "resultQuality": { "ob_id": 1206, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4755, "uuid": "30becd4e3b1f4a8cb9984fac06a3e036", "short_code": "acq", "title": "Acquisition Process for: University of Salford Sonic Anemometer 2 Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Salford: Sonic anemometer 2; PLATFORMS: Faccombe, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The instrument was operated throughout the campaign, producing vertical profiles of wind speed and direction (horizontal and vertical components), signal to noise ratio and spectral width measurements from 2nd June to 1st September 2005. This instrument is now referred to as the University of Manchester mobile wind profiler (man-radar-1290mhz).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2013-03-25T13:08:02", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Universities' Facility for Atmospheric Measurement (UFAM) mobile wind profiler instrument, prepared by the instrument scientist and delivered to the BADC for archiving.", "removedDataReason": "", "keywords": "UFAM, 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": "2006-08-17T13:39:16", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 97, "bboxName": "Linkenholt", "eastBoundLongitude": -1.48, "westBoundLongitude": -1.48, "southBoundLatitude": 51.32, "northBoundLatitude": 51.32 }, "verticalExtent": null, "result_field": { "ob_id": 4760, "dataPath": "/badc/csip/data/aber-radar-1290mhz/csip_main", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4875982617, "numberOfFiles": 85529, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>Raw data are stored as binary files</p>\n<p> The processed data are stored in NetCDF and NASA-Ames <a href=\"http://badc.nerc.ac.uk/help/formats/\">formats</a>.</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 1353, "startTime": "2005-06-01T23:00:00", "endTime": "2005-08-30T23:00:00" }, "resultQuality": { "ob_id": 1208, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4761, "uuid": "073a212ef776451d84b4a21e44f0f24e", "short_code": "acq", "title": "Acquisition Process for: Vertical wind profile data from the Universities' Facility for Atmospheric Measurement's (UFAM) 1290mhz Degreane Mobile Wind Profiler from Linkenholt, Hampshire, UK, during the Convective Storm Initiation Project (CSIP) field campaign, 2005", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Degreane 1290mhz Mobile Wind Profiler Radar - formerly aber-radar-1290mhz; PLATFORMS: Linkenholt, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 11972, "uuid": "81ea58f6728e8240f228e04f20034299", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP) Field Campaign", "abstract": "The Convective Storm Initiation Project (CSIP) ran a 3 month long field campaign during June, July and August 2005 in southern England during which period a dense network of instruments were deployed over a large area centred on the Chilbolton Facility for Atmospheric and Radar Research (CFARR) in Hampshire, England. During this field campaign a number of \"Intense Observational Periods\" were undertaken on days of notable convective activity in order to utilise the available suite of deployed ground and airborne atmospheric instrumentation to study the meteorogical conditions during the development and subsequent life of active convective cells. This field campaign followed on from an earlier pilot field campaign in June 2004." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22318, 52194, 52195, 52196, 52197, 52198, 52199, 52200, 52201, 52202, 52203, 52205, 52206, 52207, 52208, 52209, 52210, 52211, 52212, 55510 ], "vocabularyKeywords": [], "identifier_set": [ 3194 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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The 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": [ 21757, 42651, 42652, 21759, 21760, 21761, 21763, 21758 ], "onlineresource_set": [] }, { "ob_id": 4766, "uuid": "0a6910dde9de1db7e3f82763696235bc", "title": "Convective Storm Initiation Project (CSIP): University of Salford Photograph Data", "abstract": "The University of Salford photograph data are digital photographs taken approximately every 30 minutes at the Faccombe wind turbine site, Hampshire. The dataset contains photographs taken on four days between the 11th of August 2005 and 25th of August 2005.\r\n\r\nThe latitude and longitude of the field site is N 51°19.51’ and W 1°26.46’ respectively. Photographs were taken approximately every 30 minutes and the pictures are orientated to a bearing of 310°.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-10-07T12:04:31", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "CSIP, UFAM, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T08:34:10", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 811, "bboxName": "FACCOMBE", "eastBoundLongitude": -1.4461619, "westBoundLongitude": -1.4461619, "southBoundLatitude": 51.3313761, "northBoundLatitude": 51.3313761 }, "verticalExtent": null, "result_field": { "ob_id": 4767, "dataPath": "/badc/csip/data/salford-photograph", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 50105708, "numberOfFiles": 81, "fileFormat": "Images are jpg formatted.\r\n\r\n" }, "timePeriod": { "ob_id": 1357, "startTime": "2005-08-10T23:00:00", "endTime": "2005-08-24T23:00:00" }, "resultQuality": { "ob_id": 1210, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4769, "uuid": "fbab625b6e524ef1a736a35b35a507ee", "short_code": "acq", "title": "Acquisition Process for: University of Salford Photograph Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Salford: Digital camera weather pictures; PLATFORMS: Faccombe, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. The project consisted of a pilot field campaign in July 2004 and the main field campaign in June, July and August 2005." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 3197 ], "observationcollection_set": [ { "ob_id": 4611, "uuid": "44dfa95b7a2768c006b12fbb2f28799c", "short_code": "coll", "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations." } ], "responsiblepartyinfo_set": [ 21775, 21777, 21778, 21779, 41118, 41121, 21781, 21776, 54569 ], "onlineresource_set": [ 6816 ] }, { "ob_id": 4770, "uuid": "f17078a97869cf4956b2f1f4cf43e431", "title": "Convective Storm Initiation Project (CSIP): the University of Leeds Mutiple Automatic Weather Station Data", "abstract": "The University of Leeds automatic weather station (AWS) data describe meteorological measurements taken by 16 AWSs across the UK on the 6th of June 2005. All data were sampled at 3 second intervals. The dataset contains measurements of wind direction, wind speed, air pressure, surface pressure, and relative humidity.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-12-18T13:38:29", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the collected by the instrument scientist before preparation and delivery to the Convective Storm Initiation Project (CSIP) participants and then to the BADC for archiving.", "removedDataReason": "", "keywords": "AWS, CSIP", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2006-08-17T13:54:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 721, "bboxName": "NIMROD UK domain", "eastBoundLongitude": 4.0, "westBoundLongitude": -13.469999, "southBoundLatitude": 47.0, "northBoundLatitude": 62.700001 }, "verticalExtent": null, "result_field": { "ob_id": 4771, "dataPath": "/badc/csip/data/leeds-aws", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2427124278, "numberOfFiles": 31, "fileFormat": "Data are netCDF formatted." }, "timePeriod": { "ob_id": 1358, "startTime": "2005-06-05T23:00:00", "endTime": "2005-06-06T23:00:00" }, "resultQuality": { "ob_id": 1211, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 4772, "uuid": "5b528c1defa44d8f89a0408f0fbb5578", "short_code": "acq", "title": "Acquisition Process for: University of Leeds Automatic Weather Station Data, Part of the Convective Storm Initiation Project (CSIP) Database", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: Automatic Weather Station; PLATFORMS: Stoken Farm, UK, Highwood Farm, UK, Rotherfield, UK, Silchester, UK, Wilton House, Lyburn Farm, UK, Alice Holt, UK, Oldhouse Farm, UK, Thruxton, Chilworth, Woodlands Farm, UK, Uppark, UK, Larkhill, Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK, Faccombe, UK, North Farm, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 70 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4614, "uuid": "e96bd9adc2b672b4232b3478c184f18d", "short_code": "proj", "title": "Convective Storm Initiation Project (CSIP)", "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. 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