Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=100
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This dataset contains time series of j(O1D) and j(NO2) measured by a diode array spectroradiometer (SR) and Spectroradiometer minute actinic flux measurements with respect to wavelength. The data was collected by the University of Leicester from the 23rd June to the 7th July 2003 during CWAVE 2003. 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The core observing period was 16th June to 11th July 2003.\r\n\r\nThe Aims of CWAVE were:\r\n\r\n-Validation and inter-comparison of cloud and water vapour measurements from satellite, with remotely sensed ground based measurements of cloud parameters and water vapour.\r\n-Comparison of measured cloud parameters and water vapour, with results from high resolution Unified Model (UM) run by the Met Office." } ], "responsiblepartyinfo_set": [ 2710, 2711, 2704, 2707, 2708, 2709, 2705, 2706, 54232 ], "onlineresource_set": [] }, { "ob_id": 824, "uuid": "dad565f6f34a9a6572faf1e420500803", "title": "CWAVE: Met Office Microwave radiometer (MP series) temperature, water vapour and liquid profiles at Chilbolton Facility for Atmospheric and Radio Research (CFARR)", "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. 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This dataset contains Met Office Microwave radiometer (MP series) temperature, water vapour and liquid profiles at Chilbolton Facility for Atmospheric and Radio Research (CFARR)", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-11-26T17:20:14", "updateFrequency": "notPlanned", "dataLineage": "Data are collected by the Chilbolton Observatory and prepared by facility staff before submission to BADC.", "removedDataReason": "", "keywords": "CWAVE, temperature, water vapour, liquid", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-09T16:58:58", "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": 825, "dataPath": "/badc/cwave/groundbased-other/microwave_radiometer_radiometrics/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44169098, "numberOfFiles": 4, "fileFormat": "Data are CSV formatted" }, "timePeriod": { "ob_id": 231, "startTime": "2003-05-31T23:00:00", "endTime": "2003-07-30T23:00:00" }, "resultQuality": { "ob_id": 215, "explanation": "Data are checked by facility staff during preparation of data for archival", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 827, "uuid": "aab559b7e2314497a5bdc813d18ec8fd", "short_code": "acq", "title": "Acquisition Process for: Data from Met Office Microwave radiometer (MP series) at Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK for the Cloud and Water Vapour Experiment for Model Comparisons at Chilbolton (CWAVE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Met Office Microwave radiometer (MP series); PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 69 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2570, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "cwave", "label": "restricted: cwave group", "licence": { "ob_id": 37, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/cwave.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 816, "uuid": "9b1a1c246c54665f35c98aebd8cf94c2", "short_code": "proj", "title": "Cloud and Water Vapour Experiment for Model Comparisons at Chilbolton (CWAVE)", "abstract": "CWAVE was a measurement campaign at the CCLRC-Chilbolton Observatory; it supported activities associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. 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The core observing period was 16th June to 11th July 2003.\r\n\r\nThe Aims of CWAVE were:\r\n\r\n-Validation and inter-comparison of cloud and water vapour measurements from satellite, with remotely sensed ground based measurements of cloud parameters and water vapour.\r\n-Comparison of measured cloud parameters and water vapour, with results from high resolution Unified Model (UM) run by the Met Office." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25397, 25843 ], "vocabularyKeywords": [], "identifier_set": [ 554 ], "observationcollection_set": [ { "ob_id": 813, "uuid": "a67433b396a6320311836086760e43e5", "short_code": "coll", "title": "Cloud and Water Vapour Experiment (CWAVE) radar, lidar, satellite and model data for the Chilbolton Observatory, Hampshire, UK", "abstract": "CWAVE was a measurement campaign at the CCLRC-Chilbolton Observatory; it supported activities associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. 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The core observing period was 16th June to 11th July 2003.\r\n\r\nThe Aims of CWAVE were:\r\n\r\n-Validation and inter-comparison of cloud and water vapour measurements from satellite, with remotely sensed ground based measurements of cloud parameters and water vapour.\r\n-Comparison of measured cloud parameters and water vapour, with results from high resolution Unified Model (UM) run by the Met Office." } ], "responsiblepartyinfo_set": [ 2715, 2720, 2721, 2714, 2717, 2718, 2719, 2716, 54228 ], "onlineresource_set": [] }, { "ob_id": 828, "uuid": "438fa717fa3a6a2c1aa3bce02d8fd0dc", "title": "CWAVE: Moderate Resolution Imaging Spectroradiometer MODIS images", "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-07-12T00:55:01", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Chilbolton Observatory and prepared by facility staff before submission to BADC.", "removedDataReason": "", "keywords": "CWAVE, Spectroradiometer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-09T17:17:35", "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": 829, "dataPath": "/badc/cwave/satellite/modis/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10611853057, "numberOfFiles": 191, "fileFormat": "Images are PNG formatted" }, "timePeriod": { "ob_id": 233, "startTime": "2003-05-31T23:00:00", "endTime": "2003-07-30T23:00:00" }, "resultQuality": { "ob_id": 216, "explanation": "Data are checked by facility staff during preparation of data for archival", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 835, "uuid": "d85c47e5667643d3b26acaaf0a1e591b", "short_code": "cmppr", "title": "Composite Process for: Data from Moderate Resolution Imaging Spectroradiometer (MODIS) at EOS-AQUA for the Cloud and Water Vapour Experiment for Model Comparisons at Chilbolton (CWAVE) Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Moderate Resolution Imaging Spectroradiometer (MODIS) at EOS-AQUA for the Cloud and Water Vapour Experiment for Model Comparisons at Chilbolton (CWAVE) Project; \n2. 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The core observing period was 16th June to 11th July 2003.\r\n\r\nThe Aims of CWAVE were:\r\n\r\n-Validation and inter-comparison of cloud and water vapour measurements from satellite, with remotely sensed ground based measurements of cloud parameters and water vapour.\r\n-Comparison of measured cloud parameters and water vapour, with results from high resolution Unified Model (UM) run by the Met Office." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 66854, 66855, 66856, 66857, 66858, 66859, 66860, 66861, 66862, 66863, 66864, 66865, 66866, 66867, 66868, 66869, 66870, 66871, 66872, 66873, 66874, 66875, 66876 ], "vocabularyKeywords": [], "identifier_set": [ 557, 562 ], "observationcollection_set": [ { "ob_id": 813, "uuid": "a67433b396a6320311836086760e43e5", "short_code": "coll", "title": "Cloud and Water Vapour Experiment (CWAVE) radar, lidar, satellite and model data for the Chilbolton Observatory, Hampshire, UK", "abstract": "CWAVE was a measurement campaign at the CCLRC-Chilbolton Observatory; it supported activities associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. 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Two bands are imaged at a nominal resolution of 250 m at nadir, with five bands at 500 m, and the remaining 29 bands at 1 km. A +/- 55-degree scanning pattern at the EOS orbit of 705 km achieves a 2,330-km swath and provides global coverage every one to two days. The main objective of MODIS is to enhance our understandings on global dynamics and processes occurring on the land, in the oceans and in the lower atmosphere, and these data are also essential in the development of validated, global and interactive Earth system models." } ], "responsiblepartyinfo_set": [ 2725, 2731, 2727, 2728, 2729, 2730, 2724, 2726, 54239 ], "onlineresource_set": [] }, { "ob_id": 843, "uuid": "47adcb7e332ddfab9e9be9b43ea6ac1f", "title": "CWAVE: Advanced Along-Track Scanning Radiometer (AATSR) measurements from Envisat", "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. This dataset contains advanced along-track scanning radiometer measurements.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-02-16T12:37:16", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by the Chilbolton Observatory and prepared by facility staff before submission to BADC.", "removedDataReason": "", "keywords": "CWAVE, AATSR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-09T17:24:22", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 844, "dataPath": "/badc/cwave/satellite/aatsr", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 948284302, "numberOfFiles": 141, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 235, "startTime": "2003-05-31T23:00:00", "endTime": "2003-07-30T23:00:00" }, "resultQuality": { "ob_id": 218, "explanation": "Data are checked by facility staff during preparation of data for archival", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-09" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 850, "uuid": "4b153694fbef4f5fa6636269b3a28dce", "short_code": "cmppr", "title": "Composite Process for: Data from Advanced Along-Track Scanning Radiometer (AATSR) at Envisat for the Cloud and Water Vapour Experiment for Model Comparisons at Chilbolton (CWAVE) Project", "abstract": "This process is comprised of multiple procedures: 1. 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We have it on tape if needed.", "keywords": "climateprediciton.net, climate, simulation", "publicationState": "removed", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "retired", "dataPublishedTime": "2007-03-19T23:27:07", "doiPublishedTime": null, "removedDataTime": "2021-06-15T13:21:54", "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 858, "dataPath": "/badc/cpdn", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1012, "numberOfFiles": 2, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data and file format</div>\n<p>\nThe data is divided into a series of volumes with a consistent\ndirectory structure. Volumes are filled in the order data is submitted and\ntherefore a single volume may contain simulations from multiple\nClimate<i>prediction</i>.net experiments. \n</p>\n\n<p>The first volume in the dataset (<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/cpdn/volumes/vol-000\"><code>vol-000</code></a>) is a quality controlled subset of early Climate<i>prediction</i>.net data that is documented seperately <a href=\"http://badc.nerc.ac.uk/data/cpdn/cpdn-nature2500.html\">here</a>. This volume contains aproximately 2500 runs with a total size of 13Gb. Subsequent volumes will be an order of magnitude larger.\n</p>\n\n<p>Each simulation is stored within a volume at a URL matching the following pattern:\n\n</p><blockquote>\n <code>ftp://ftp.ceda.ac.uk/badc/cpdn/volumes/vol-<i class=\"subst\">xxx</i>/<i class=\"subst\">model</i>/<i class=\"subst\">yy</i>/<i class=\"subst\">result-name</i></code>\n\n</blockquote>\n\nWhere <code><i class=\"subst\">xxx</i></code> is a zero-padded volume number, <code><i class=\"subst\">model</i></code>\nidentifies the type of Climate<i>prediction</i>.net simulation\n(e.g. <code>standard</code> for the HadSM3 slab model experiment or\n<code>sulphur</code> for the HadSM3 + sulphur cycle experiment) and\n\n<code><i class=\"subst\">yy</i></code> is a directory branch designed to limit the size of\nindividual directories. 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HadSST2 is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which which fail quality checks, converting the measurements to anomalies by subtracting climatological values from the measurements, and calculating a robust average of the resulting anomalies on a 5° by 5° degree monthly grid. After gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in SST measuring practices before 1942. The uncertainties due to under-sampling have been calculated for the gridded monthly data as have the uncertainties on the bias corrections.\r\n\r\nThis dataset include:\r\n- SST anomaly data (HadSST2_SST_1850on.txt.gz)\r\n- 1961-1990 Climatology (HadSST2_climatology_5x5_1961_1990.txt)\r\n- numbers of observations used to calculate the average (HadSST2_nobs_1850on.txt.gz)\r\n- Estimates on the measurement and sampling errors on the SST data (HadSST2_m_and_s_errors_1850on.txt.gz)\r\n- bias-adjusted data using bias adjustments which represent the 97.5 percent and 2.5 percent confidence levels of the estimated errors on the adjustments (HadSST2_97.5_pct_bias_1850on.txt.gz and HadSST2_2.5_pct_bias_1850on.txt.gz).\r\n- Files showing the correction applied to the data e.g.:\r\nHadSST2_bucket_correction_median.txt.gz - the corrections applied to the data 1850-1941\r\nHadSST2_bucket_correction_2.5pc.txt.gz - the lower bound of the 95% confidence range of the uncertainties 1850-1941\r\nHadSST2_bucket_correction_97.5pc.txt.gz - the upper bound of the 95% confidence range of the uncertainties 1850-1941\r\n\r\nA 1 degree version of HadSST2 is also available.\r\n \r\nData were provided by the Met Office Hadley Centre. Dataset was produced by the Hadley Centre in collaboration with ICOADS.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:59:03", "updateFrequency": "notPlanned", "dataLineage": "HadSST2 was acquired in 2008 by the BADC from the Met Office Hadley Centre and has been routinely updated as is until 2013 at the BADC from the Hadley Centre.", "removedDataReason": "", "keywords": "Met Office, Hadley, SST, ocean, temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1x1 deg grid and 5x5 deg grid", "status": "completed", "dataPublishedTime": "2007-02-02T17:01:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 10, "bboxName": "", "eastBoundLongitude": 177.5, "westBoundLongitude": -177.5, "southBoundLatitude": -87.5, "northBoundLatitude": 87.5 }, "verticalExtent": null, "result_field": { "ob_id": 863, "dataPath": "/badc/ukmo-hadsst2/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 849337409, "numberOfFiles": 22, "fileFormat": "ASCII and NetCDF" }, "timePeriod": { "ob_id": 3715, "startTime": "1850-01-01T00:00:00", "endTime": "2013-08-30T23:00:00" }, "resultQuality": { "ob_id": 222, "explanation": "Data quality controlled by the Met Office.\nEstimates on the measurement and sampling errors on the SST data are available in the archive.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-05" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 864, "uuid": "be295273fd7e419e8802d6e74af4e344", "short_code": "comp", "title": "HadSST2 sea surface temperature anomalies data processing deployed on Met Office Hadley Centre Computers", "abstract": "This computation involved: HadSST2 sea surface temperature anomalies data processing deployed on Met Office Hadley Centre Computers. HadSST2 is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which fail quality checkes, converting the measurements to anomalies by substracting climatological values from the measurements, and calculating a robust average of the resulting anomalies on a 5 deg by 5 deg monthly grid. The Met Office Hadley Centre is the UK's official centre for climate change research. Partly funded by Defra (the Department for Environment, Food and Rural Affairs), they provide in-depth information to, and advise, the Government on climate change issues.\r\n\r\nHadley Centre aims:\r\n\r\n1. understand physical, chemical and biological processes within the climate system and develop computer models of the climate which represent them; \r\n2. use computer models to simulate the differences between global and regional climates; the changes seen over the last 100 years, and to predict changes over the next 100 years; \r\n3. monitor global and national climate variability and change; \r\n4. attribute recent changes in climate to specific factors. \r\n\r\n\r\nThe Hadley Centre undertakes studies of the global climate using similar, though more extensive, models of the atmospheres, as are used for the prediction of weather conditions." }, "procedureCompositeProcess": null, "imageDetails": [ 157 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2652, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "hadsst2", "label": "restricted: hadsst2 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": [ 25868, 57349, 57350, 57351, 57352, 57353, 57354, 57355, 57356 ], "vocabularyKeywords": [], "identifier_set": [ 585, 8744 ], "observationcollection_set": [ { "ob_id": 861, "uuid": "85650f53d79a7fc71e2815c7a1ae89c6", "short_code": "coll", "title": "Met Office HadSST2 (uninterpolated sea surface temperature) (1850-2013)", "abstract": "The Met Office Hadley Centre's sea surface temperature data set, HadSST2, replaces the Met Office Historical Sea Surface Temperature dataset (MOHSST6) and is a monthly global field of SST (Sea Surface Temperature) on a 5 deg latitude by 5 deg longitude grid from 1850 to 2013. The data are neither interpolated nor variance adjusted.\r\n\r\nThe observations that make up this dataset are taken from the International Comprehensive Ocean-Atmosphere DataSet, ICOADS (see http://www.cdc.noaa.gov/coads/) until 1997 and from the NCEP GTS archive thereafter. Individual observations must first pass a series of quality checks (track check, reality check, positional check, climatology check, buddy check, duplicate check). The quality-checked observations in each 1degree longitude X 1degree latitude X pentad gridbox are then averaged using a winsorised average. The pentad climatology is then subtracted from these pentad superobs and the resulting anomalies are averaged to 5degree X 5degree X monthly resolution. The data are then bias-corrected for the use of buckets in the period 1850-1941." } ], "responsiblepartyinfo_set": [ 2807, 2812, 2813, 2806, 2809, 2810, 2811, 2808, 54644, 148631 ], "onlineresource_set": [ 8475, 8474, 8529 ] }, { "ob_id": 866, "uuid": "67ac200fa0f13e5a68faab025576b9a7", "title": "MSF Fourier Transform spectrometers data at the STFC MSF for the CWVC-HITRAN campaign", "abstract": "The aim of HITRAN (high-resolution transmission molecular absorption database) was to characterise the amount and wavelength-dependence of absorption by water vapour and other atmospheric species. It was part of the Natural Environment Research Council (NERC) funded Clouds, Water Vapour and Climate (CWVC) program. The dataset contains spectral line parameters derived from laboratory measurements on pure water vapour, and mixtures of water vapour and air. The measurements were made at STFC Rutherford Appleton Laboratory Molecular Spectroscopy Facility, and the line fitting was carried out by the Department of Meteorology at the University of Reading. The spectral line parameters are displayed in HITRAN format. Water vapour lines were fitted to the laboratory data in the spectral range 5037 to 5585 cm-1. These data are public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:20:34", "updateFrequency": "notPlanned", "dataLineage": "Data files supplied as is by the Science and Technology Facilities Council (STFC) Molecular Spectroscopy Facility (MSF) in 2004, and stored in the BADC archive.", "removedDataReason": "", "keywords": "ATMOSPHERE EARTHSCIENCE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-16T16:37:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 11, "bboxName": "", "eastBoundLongitude": 0.0, "westBoundLongitude": 0.0, "southBoundLatitude": 0.0, "northBoundLatitude": 0.0 }, "verticalExtent": null, "result_field": { "ob_id": 867, "dataPath": "/badc/cwvc/data/H2O_absorption", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5487786, "numberOfFiles": 4, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data and file format</div>\n<p>\nData are stored in the BADC\n<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/cwvc/data/H2O_absorption\">CWVC HITRAN project data archive</a>.\n\n</p><p>\nThe data are in <a href=\"http://badc.nerc.ac.uk/help/formats/hitran/\">hitran</a> \nformat.\n</p>\n\n\n<p /></div>\n" }, "timePeriod": { "ob_id": 239, "startTime": "2002-01-01T00:00:00", "endTime": "2002-12-31T00:00:00" }, "resultQuality": { "ob_id": 223, "explanation": "For quality details please see documentation.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-08-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 871, "uuid": "f99de67667244bbdbef9f0930d9e4c2d", "short_code": "acq", "title": "Acquisition Process for: MSF Fourier Transform spectrometers data at the STFC MSF for the CWVC-HITRAN campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: MSF: Fourier Transform spectrometers; PLATFORMS: CCLRC Rutherford Appleton Laboratory Molecular Spectroscopy Facility (MSF); " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 868, "uuid": "152babd9550d869a896ae26f37452154", "short_code": "proj", "title": "CWVC - Clouds, Water Vapour and Climate - NERC Research Programme", "abstract": "The Clouds, Water Vapour and Climate programme was a five-year NERC directed mode research programme. Its overall aim was to improve our understanding of the physical processes responsible for the distribution of humidity and clouds, and their influences on climate. Projects were selected for funding through three rounds of awards, in January 1999, December 2000 and September 2001. One CWVC project, namely \"The Microphysical and Radiative Properties of Mixed Phase Clouds\", is based on an airborne campaign using the FAAM aircraft." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25844, 52354 ], "vocabularyKeywords": [], "identifier_set": [ 591 ], "observationcollection_set": [ { "ob_id": 865, "uuid": "80399b9b1c56d454becef232d51b0fdf", "short_code": "coll", "title": "HITRAN (high-resolution transmission) molecular absorption database, part of the Clouds, Water Vapour and Climate (CWVC) program", "abstract": "The aim of HITRAN (high-resolution transmission molecular absorption database) was to characterise the amount and wavelength-dependence of absorption by water vapour and other atmospheric species. It was part of the Natural Environment Research Council (NERC) funded Clouds, Water Vapour and Climate (CWVC) program. The dataset contains spectral line parameters derived from laboratory measurements on pure water vapour, and mixtures of water vapour and air. The measurements were made at STFC Rutherford Appleton Laboratory Molecular Spectroscopy Facility, and the line fitting was carried out by the Department of Meteorology at the University of Reading. The spectral line parameters are displayed in HITRAN format. Water vapour lines were fitted to the laboratory data in the spectral range 5037 to 5585 cm-1. These data are public." } ], "responsiblepartyinfo_set": [ 2829, 2834, 2828, 2831, 2832, 2833, 2838, 2830, 2835, 54646, 2836, 2837 ], "onlineresource_set": [] }, { "ob_id": 889, "uuid": "901e555641b5c68d9f41b15d7a2ab842", "title": "Cape Verde Atmospheric Observatory: NMHC measurements from dual channel Gas Chromatograph (2006 onwards)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains mixing ratio measurements of ethane, propane, iso-butane, acetylene and iso-pentane.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:01:32", "updateFrequency": "asNeeded", "dataLineage": "Data collected at Cape Verde Atmospheric Observatory before being transmitted back to UK where NCAS staff prepare data for archiving at BADC.", "removedDataReason": "", "keywords": "Cape Verde, NMHC", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2010-09-17T13:42:19", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 12, "bboxName": "Cape Verde Atmospheric Observatory Site", "eastBoundLongitude": -24.871, "westBoundLongitude": -24.871, "southBoundLatitude": 16.848, "northBoundLatitude": 16.848 }, "verticalExtent": null, "result_field": { "ob_id": 890, "dataPath": "/badc/capeverde/data/cv-dc-gc-fid", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14505644, "numberOfFiles": 11, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3719, "startTime": "2006-10-01T23:00:00", "endTime": "2014-01-31T23:59:59" }, "resultQuality": { "ob_id": 227, "explanation": "Data from Cape Verde observatory are for research", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-09-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 892, "uuid": "c6a78e70694b4fb0895dbe11f1128742", "short_code": "acq", "title": "Acquisition Process for: cv-dc-gc-fid at Cape Verde", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Cape Verde Observatory: Dual channel gas chromatograph with dual flame ionisation detection; PLATFORMS: Cape Verde Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 13 ], "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": 875, "uuid": "d5422d54d519ed056cc17e97037732b8", "short_code": "proj", "title": "Cape Verde Atmospheric Observatory Measurements", "abstract": "Measurements conducted at Cape Verde Atmospheric Observatory (CVAO)\r\n\r\nThe CVAO (16° 51' 49 N, 24° 52' 02 W), exists to advance understanding of climatically-significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for field campaigns. Measurements of O3, CO, NO, NO2, NOy and VOCs began at the site in October 2006. Chemical characterisation of aerosol measurements and flask sampling of greenhouse gases began in November 2006, halocarbon measurements in May 2007, and physical measurements of aerosol in June 2008. On-line measurements of greenhouse gases began in October 2008." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57005 ], "vocabularyKeywords": [], "identifier_set": [ 616 ], "observationcollection_set": [ { "ob_id": 5007, "uuid": "dccb03b976696e2dfee42ef259a546a2", "short_code": "coll", "title": "UK SOLAS Cape Verde Observatory Measurement Campaign (2006-2009)", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. Measurements began at the site in October 2006 and are continuing to this day. Note that only observations for the period 2006-2009 were used in the context of the SOLAS project." }, { "ob_id": 872, "uuid": "81693aad69409100b1b9a247b9ae75d5", "short_code": "coll", "title": "Continuous Cape Verde Atmospheric Observatory Observations", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data.\r\n\r\nThe observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.\r\n\r\nThe dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. \r\n\r\nThe Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection." } ], "responsiblepartyinfo_set": [ 2899, 2898, 2901, 2902, 2903, 2905, 2904, 2900, 55561 ], "onlineresource_set": [] }, { "ob_id": 893, "uuid": "441d937138ce5d8ff95900e462c2861e", "title": "Cape Verde Atmospheric Observatory: Additional Meteorological measurements (2006-2012)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. 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Note that only observations for the period 2006-2009 were used in the context of the SOLAS project." }, { "ob_id": 872, "uuid": "81693aad69409100b1b9a247b9ae75d5", "short_code": "coll", "title": "Continuous Cape Verde Atmospheric Observatory Observations", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data.\r\n\r\nThe observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.\r\n\r\nThe dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. \r\n\r\nThe Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection." } ], "responsiblepartyinfo_set": [ 2909, 2908, 2911, 2912, 2913, 2914, 55558, 2910 ], "onlineresource_set": [] }, { "ob_id": 897, "uuid": "4cc618df49b55f0c72c8aa08e6f2fde4", "title": "SOLAS: Leeds OH and HO2 measurements at Cape Verde Observatory (2009)", "abstract": "Data from observations made at the The Cape Verde Atmospheric Observatory (16.848N, 24.871W) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains mixing ratio measurements of OH and HO2 from University of Leeds.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-03-03T12:54:21", "updateFrequency": "asNeeded", "dataLineage": "Data collected at Cape Verde Atmospheric Observatory before being transmitted back to UK where NCAS staff prepare data for archiving at BADC.", "removedDataReason": "", "keywords": "SOLAS, Cape Verde, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2010-10-04T12:58:22", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 12, "bboxName": "Cape Verde Atmospheric Observatory Site", "eastBoundLongitude": -24.871, "westBoundLongitude": -24.871, "southBoundLatitude": 16.848, "northBoundLatitude": 16.848 }, "verticalExtent": null, "result_field": { "ob_id": 898, "dataPath": "/badc/solas/data/capeverde/leeds-fage", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 86796999, "numberOfFiles": 8, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 3722, "startTime": "2009-02-27T00:00:00", "endTime": "2009-09-29T23:00:00" }, "resultQuality": { "ob_id": 229, "explanation": "Data from Cape Verde observatory are for research", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-09-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 899, "uuid": "373a752f061e4259a5299b97df93587b", "short_code": "acq", "title": "Acquisition Process for: leeds-fage at Cape Verde", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leeds: Fluorecence Assay by Gas Expansion instrument (FAGE); PLATFORMS: Cape Verde Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 71 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 5010, "uuid": "2bb3eac1e49d6b6ff33ea362ee2b9a94", "short_code": "proj", "title": "UK SOLAS Cape Verde Atmospheric Observatory Measurements", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. The observatory is based on Calhau Island of Sao Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. Measurements began at the site in October 2006." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 24536, 52522 ], "vocabularyKeywords": [], "identifier_set": [ 622 ], "observationcollection_set": [ { "ob_id": 5007, "uuid": "dccb03b976696e2dfee42ef259a546a2", "short_code": "coll", "title": "UK SOLAS Cape Verde Observatory Measurement Campaign (2006-2009)", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. Measurements began at the site in October 2006 and are continuing to this day. Note that only observations for the period 2006-2009 were used in the context of the SOLAS project." }, { "ob_id": 872, "uuid": "81693aad69409100b1b9a247b9ae75d5", "short_code": "coll", "title": "Continuous Cape Verde Atmospheric Observatory Observations", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data.\r\n\r\nThe observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.\r\n\r\nThe dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. \r\n\r\nThe Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection." }, { "ob_id": 11685, "uuid": "42a2fb43b0a7415aab4aaa9ae00193f0", "short_code": "coll", "title": "Atmospheric Measurement Facility (NCAS-AMF) Data", "abstract": "This dataset collection brings together data from instruments deployed within the UK's National Centre for Atmospheric Sciences's (NCAS) Atmospheric Measurements Facility (AMF). The AMF facilitates easy access to a wide range of quality assured data products and services as well as access to specialist instrumentation for ground based and airborne observation of the atmosphere, observatories, platforms, and laboratories, operated by dedicated facility Instrument Scientists. In addition to campaign deployments covered by this collection AMF also operates a number of long-term instruments which can be found under the NCAS long term observations dataset collection. This collection also brings together data from the AMF instruments when they were operated before being part of AMF. As such some datasets will refer to the instruments' former designations." } ], "responsiblepartyinfo_set": [ 2919, 2918, 2921, 2922, 2923, 2924, 2925, 2920, 75398 ], "onlineresource_set": [] }, { "ob_id": 903, "uuid": "6035249fcd5e7643f63a85e0c113fafc", "title": "Cape Verde Atmospheric Observatory: NOxy measurements (2006 onwards)", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nThe dataset contains mixing ratio measurements of NO, NO2 and NOy.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2023-05-18T16:08:28", "updateFrequency": "asNeeded", "dataLineage": "Data collected at Cape Verde Atmospheric Observatory before being transmitted back to UK where NCAS staff prepare data for archiving at BADC.", "removedDataReason": "", "keywords": "Cape Verde, Chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2010-10-05T14:10:11", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 12, "bboxName": "Cape Verde Atmospheric Observatory Site", "eastBoundLongitude": -24.871, "westBoundLongitude": -24.871, "southBoundLatitude": 16.848, "northBoundLatitude": 16.848 }, "verticalExtent": null, "result_field": { "ob_id": 904, "dataPath": "/badc/capeverde/data/cv-noxy", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44513354, "numberOfFiles": 66, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 247, "startTime": "2006-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 231, "explanation": "Data from Cape Verde observatory are for research", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2012-09-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 906, "uuid": "434f4e523f144b1a891dce9e799093a9", "short_code": "acq", "title": "Acquisition Process for: cv-noxy at Cape Verde", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Cape Verde Observatory: Chemiluminescence NO, NO2, NOy detector; PLATFORMS: Cape Verde Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 13 ], "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": 875, "uuid": "d5422d54d519ed056cc17e97037732b8", "short_code": "proj", "title": "Cape Verde Atmospheric Observatory Measurements", "abstract": "Measurements conducted at Cape Verde Atmospheric Observatory (CVAO)\r\n\r\nThe CVAO (16° 51' 49 N, 24° 52' 02 W), exists to advance understanding of climatically-significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for field campaigns. Measurements of O3, CO, NO, NO2, NOy and VOCs began at the site in October 2006. Chemical characterisation of aerosol measurements and flask sampling of greenhouse gases began in November 2006, halocarbon measurements in May 2007, and physical measurements of aerosol in June 2008. On-line measurements of greenhouse gases began in October 2008." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22422, 51678 ], "vocabularyKeywords": [], "identifier_set": [ 624 ], "observationcollection_set": [ { "ob_id": 5007, "uuid": "dccb03b976696e2dfee42ef259a546a2", "short_code": "coll", "title": "UK SOLAS Cape Verde Observatory Measurement Campaign (2006-2009)", "abstract": "The UK SOLAS Cape Verde Atmospheric Observatory (16.848N, 24.871W) exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data context for SOLAS field campaigns. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. Measurements began at the site in October 2006 and are continuing to this day. Note that only observations for the period 2006-2009 were used in the context of the SOLAS project." }, { "ob_id": 872, "uuid": "81693aad69409100b1b9a247b9ae75d5", "short_code": "coll", "title": "Continuous Cape Verde Atmospheric Observatory Observations", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data.\r\n\r\nThe observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution.\r\n\r\nThe dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. \r\n\r\nThe Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection." } ], "responsiblepartyinfo_set": [ 2935, 2934, 2937, 2938, 2939, 2940, 55562, 2936, 2941 ], "onlineresource_set": [] }, { "ob_id": 908, "uuid": "2126110eeb02a0443405d5dd842cea9e", "title": "Berlin Stratospheric: Radiosonde measurements from the radiosonde stations on the Global Telecommunication System (GTS) network", "abstract": "This is a copy of The Berlin Stratospheric Data Series provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin. This data set contains temperature and geopotential height data on the 100, 50, 30, 10 mb pressure surfaces produced at the Meteorological Institute, Free University of Berlin, from radiosonde data and rocket observations. This data series also contains summer, winter and annual trends and variability of the data, climatological monthly mean temperature and geopotential height at 30 mb, and intercomparisons with other data series. There are also sections on the quasi-biennial oscillation (QBO) and the global signal of the 11-year sunspot cycle in the stratosphere.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2002-05-31T13:42:41", "updateFrequency": "notPlanned", "dataLineage": "This is a copy of The Berlin Stratospheric Data Series, from radiosonde data and rocket observations, provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin.", "removedDataReason": "", "keywords": "Berlin Stratospheric, Height, Temperature, Radiosonde", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-09T00:12:02", "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": 909, "dataPath": "/badc/CDs/berlin_strat/data/qbo", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 55295, "numberOfFiles": 4, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 248, "startTime": "1957-06-30T23:00:00", "endTime": "2001-06-29T23:00:00" }, "resultQuality": { "ob_id": 232, "explanation": "not available at this time.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 913, "uuid": "a6290b2764174d9c85e0a595e2952ca1", "short_code": "acq", "title": "Acquisition Process for: Data from Radiosonde at Radiosonde stations on the Global Telecommunication System (GTS) network for the Meteorological Institute, Free University Berlin, Germany", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Radiosonde; PLATFORMS: Radiosonde stations on the Global Telecommunication System (GTS) network; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 14 ], "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": 910, "uuid": "3c0d05987cfc1b5b284658f1440a641d", "short_code": "proj", "title": "Meteorological Institute, Free University Berlin, Germany", "abstract": null } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25382, 25388 ], "vocabularyKeywords": [], "identifier_set": [ 629 ], "observationcollection_set": [ { "ob_id": 907, "uuid": "4264875db3d6b70acd34b63781a349d4", "short_code": "coll", "title": "Berlin Stratospheric Data Series: Gridded Northern Hemisphere Strastospheric Data Series Produced by the Meteorological Institute, Free University of Berlin", "abstract": "This is a copy of The Berlin Stratospheric Data Series provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin. This data set contains temperature and geopotential height data on the 100, 50, 30, 10 mb pressure surfaces produced at the Meteorological Institute, Free University of Berlin, from radiosonde data and rocket observations. This data series also contains summer, winter and annual trends and variability of the data, climatological monthly mean temperature and geopotential height at 30 mb, and intercomparisons with other data series. There are also sections on the quasi-biennial oscillation (QBO) and the global signal of the 11-year sunspot cycle in the stratosphere." } ], "responsiblepartyinfo_set": [ 2953, 2958, 2952, 2955, 2956, 2957, 2959, 2954 ], "onlineresource_set": [ 8639 ] }, { "ob_id": 914, "uuid": "cc9e1ef15dbb016e155f773cff522d72", "title": "Berlin Stratospheric: Zonal mean data from the SATEMS producing satellite instruments at Satellites on the Global Telecommunication Sytem (GTS)", "abstract": "This is a copy of The Berlin Stratospheric Data Series provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin. This data set contains temperature and geopotential height mean data on the 100, 50, 30, 10 mb pressure surfaces produced at the Meteorological Institute, Free University of Berlin.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2002-07-03T15:24:14", "updateFrequency": "notPlanned", "dataLineage": "This is a copy of The Berlin Stratospheric Data Series, from radiosonde data and rocket observations, provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin.", "removedDataReason": "", "keywords": "Berlin Stratospheric, Height, Temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-09T00:13:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 13, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 10.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 915, "dataPath": "/badc/CDs/berlin_strat/data/zonalmean", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 236928, "numberOfFiles": 11, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 249, "startTime": "1984-01-01T00:00:00", "endTime": "2001-06-29T23:00:00" }, "resultQuality": { "ob_id": 233, "explanation": "not available at this time.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 921, "uuid": "8b82bae5aac148ee911b545ec22be5a2", "short_code": "cmppr", "title": "Composite Process for: Data from SATEMS producing satellite instruments at Satellites on the Global Telecommunication Sytem (GTS) for the Meteorological Institute, Free University Berlin, Germany", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from SATEMS producing satellite instruments at Satellites on the Global Telecommunication Sytem (GTS) for the Meteorological Institute, Free University Berlin, Germany ; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Satellites on the Global Telecommunication Sytem (GTS); \n" }, "imageDetails": [ 14 ], "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": 910, "uuid": "3c0d05987cfc1b5b284658f1440a641d", "short_code": "proj", "title": "Meteorological Institute, Free University Berlin, Germany", "abstract": null } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25382, 25388 ], "vocabularyKeywords": [], "identifier_set": [ 635 ], "observationcollection_set": [ { "ob_id": 907, "uuid": "4264875db3d6b70acd34b63781a349d4", "short_code": "coll", "title": "Berlin Stratospheric Data Series: Gridded Northern Hemisphere Strastospheric Data Series Produced by the Meteorological Institute, Free University of Berlin", "abstract": "This is a copy of The Berlin Stratospheric Data Series provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin. This data set contains temperature and geopotential height data on the 100, 50, 30, 10 mb pressure surfaces produced at the Meteorological Institute, Free University of Berlin, from radiosonde data and rocket observations. This data series also contains summer, winter and annual trends and variability of the data, climatological monthly mean temperature and geopotential height at 30 mb, and intercomparisons with other data series. There are also sections on the quasi-biennial oscillation (QBO) and the global signal of the 11-year sunspot cycle in the stratosphere." } ], "responsiblepartyinfo_set": [ 2966, 2971, 2968, 2969, 2970, 2972, 2965, 2967 ], "onlineresource_set": [ 8640 ] }, { "ob_id": 923, "uuid": "64f9def97308b4e190766454e2c76b9d", "title": "UK-Japan Climate Collaboration (UJCC) Model Matrix data", "abstract": "Earth-system modelling data from the UK-Japan Climate Collaboration (UJCC). The project is a joint project between the Hadley Centre (DEFRA) and the NCAS-CGAM (Centre for Global Atmospheric Modelling) at the University of Reading. UJCC makes use of a broad group of models in order to systematically explore the role and value of resolution in climate system research. The dataset comprises of UJCC 30 year simulations from models at resolutions of either (1.25 lat x 1.875 lon) or (0.83 lat x 1.25 lon) with differing degrees of atmosphere-ocean coupling (1 degree ocean or 1/3 degree ocean). The dataset also includes NUGAM (Nihon-UK Global Environmental Model) Atmosphere only simulations and NUGEM Coupled atmosphere and ocean simulations which are both at the same resolution (0.83 lat x 0.56 lon, corresponding to ~60 km in mid-latitudes).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-06-05T19:40:59", "updateFrequency": "continual", "dataLineage": "Data were made available to the BADC from the UK-Japan Climate Collaboration (UJCC) team in Japan and transferred directly from the Japanese supercomputer to the BADC archive.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-03-17T00:32:26", "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": 924, "dataPath": "/badc/ujcc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48071722306245, "numberOfFiles": 142126, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data, File format and Software</div>\n<p>\nAccess to the UJCC data sets is available via the \n<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ujcc/\"> UJCC data browser \ndirectory </a>. Alternatively you can ftp the data from ftp.ceda.ac.uk.\n</p>\n\n<p>\nUJCC is making use of a broad group of models in order to systematically explore the role and \nvalue of resolution in climate system research. All the UJCC models have as their baseline \nscience the initial reference HadGEM1a models used at the Hadley Centre. These build on the IPCC \nAR4 version of the model, and include various small improvements to the science and fixing of \nknown problems.\nMore details of HadGEM1a can be found \n<a href=\"http://www.higem.nerc.ac.uk/higem_only/validation/hadgem1a/hadgem1a.html\">here</a> \n(this link is restricted to those with HiGEM privileges).\n</p>\n<p>\nThe UJCC data archived at the BADC are 30 year simulations from models at the following resolutions:\n</p><ul>\n<li> N96 Atmosphere (1.25 lat x 1.875 lon), 1 degree ocean (HadGEM1a) \n</li><li> N96 Atmosphere (1.25 lat x 1.875 lon), 1/3 degree ocean\n</li><li> N144 Atmosphere (0.83 lat x 1.25 lon), 1 degree ocean\n</li><li> N144 Atmosphere (0.83 lat x 1.25 lon), 1/3 degree ocean (HiGEM)\n\n</li></ul>\n<p />\n<p>\nSimulations from the Nihon-UK Global Environmental Model (NUGEM) will also be archived at the BADC. \nNUGEM is a version of HadGEM1a run at very high N216 resolution (0.83 lat x 0.56 lon, corresponding \nto ~60 km in mid-latitudes). The BADC will be archiving:\n</p><ul>\n<li> NUGAM Atmosphere only version of NUGEM\n</li><li> NUGEM Coupled atmosphere and ocean\n</li></ul>\n<p />\n<p>\nThe BADC have provided a list of the simulations that make up the <a href=\"http://badc.nerc.ac.uk/data/ujcc/ujcc_matrix.html\">UJCC datset matrix</a> in the BADC archive. \nA comprehensive overview of the matrix of UJCC climate models can be found \n<a href=\"http://www.earthsimulator.org.uk/models.php\">here</a>.\n\n</p>\n\n<b> UJCC status</b>\n<br />\n\n<p>The current status of the UJCC dataset at the BADC can be found\n<a href=\"http://badc.nerc.ac.uk/data/ujcc/status.html\">here</a>. \n\n</p><p>We have now launched a web page showing the \n<a href=\"http://badc.nerc.ac.uk/data/ujcc/higem.html\">status of the current UJCC-HiGEM simulation</a>. \nThis service displays the evolution of certain key parameters including net top of atmosphere \nradiation flux, global mean sea surface and surface temperature and ocean salinity. \nThe North Atlantic Oscillation and Nino-3 indices are also shown. \nThese plots are updated as new data from the UJCC-HiGEM simulation arrives at the BADC. \n</p>\n<p>\n<b>Data file format</b>\n<br />\nAll UJCC data are held as 64 bit UM pp files.\n</p>\n<p>\n<b> Software</b>\n<br />\nSoftware is available to manipulate and view the data. \n<a href=\"http://badc.nerc.ac.uk/help/software/xconv\">xconv</a> provides an easy to use point\nand click interface to the data.\n<a href=\"http://www.met.reading.ac.uk/~jeff/xconv/appx1.html\">convsh</a>\n\nprovides a subset of the functionality of xconv, but in a scriptable\nform, so it can be used to automate some common data processing tasks.\nJeff Cole at CGAM Reading, who developed both xconv and convsh,\nprovides some example uses of\n<a href=\"http://www.met.reading.ac.uk/~jeff/xconv/appx2.html\">convsh</a>.\n</p>\n\n\n<p /></div>\n" }, "timePeriod": { "ob_id": 250, "startTime": "2005-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 234, "explanation": "Quality control of the data was performed by the UJCC team.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 926, "uuid": "6e543ad4c35d4e7f845bd3aca82401fb", "short_code": "comp", "title": "UK-Japan Climate Collaboration (UJCC) Model Matrix deployed on Earth Simulator Supercomputer", "abstract": "This computation involved: UK-Japan Climate Collaboration (UJCC) Model Matrix deployed on Earth Simulator Supercomputer. UJCC is making use of a broad group of models in order to systematically explore the role and value of resolution in climate system research: starting with the base N96 AOGCM (HadGEM1), an array of coupled and uncoupled models has been set up, in order to test hypotheses about the global impact of increasingly resolving the fundamental building blocks of climate. This model \"matrix\" will be an invaluable resource for understanding the impact of resolution in both atmosphere and ocean model components, and will help to guide future model development.\n\nAll these models have as their baseline science that of the initial reference HadGEM1a models used at the Hadley Centre. These build on the IPCC AR4 version of the model, and include various small improvements to the science and fixing of known problems. The ultra high-speed parallel computing system, \"Earth Simulator\" attained the best computing performance in the world according to the Linpack benchmark test. The result of this test of execution performance, 35.61 TFlops (trillion operations per second), was approved and the Earth Simulator was registered as the world' s fastest supercomputer by Dr. Jack J. Dongarra of the University of Tennessee, USA, who announced the world Linpack benchmark test results. The Earth Simulator supercomputer is housed at the Earth Simulator Center in Japan." }, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2622, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "earth_simulator_ps", "label": "restricted: earth_simulator_ps group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } }, { "ob_id": 2623, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "higem", "label": "restricted: higem group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } }, { "ob_id": 2624, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ujcc", "label": "restricted: ujcc group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 925, "uuid": "8e9dca833804d9740334da24239657d2", "short_code": "proj", "title": "UK-Japan Climate Collaboration (UJCC) project", "abstract": "Earth-system modelling data from the UK-Japan Climate Collaboration (UJCC). The project is a joint project between the Hadley Centre (DEFRA) and the NCAS-CGAM (Centre for Global Atmospheric Modelling) at the University of Reading." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2638, 2639, 52362, 56979, 56980, 56981, 56982, 56983, 56984, 56985, 56986, 56987, 56988, 56989, 56990, 56991, 56992, 56993, 56994, 56995, 56996, 56997, 56998 ], "vocabularyKeywords": [], "identifier_set": [ 642 ], "observationcollection_set": [ { "ob_id": 922, "uuid": "b8ab41d60c6038f4904983f439205883", "short_code": "coll", "title": "Ensemble of Earth-system Modelling Data from the UK-Japan Climate Collaboration (UJCC) Project", "abstract": "Earth-system modelling data from the UK-Japan Climate Collaboration (UJCC). The project is a joint project between the Hadley Centre (DEFRA) and the NCAS-CGAM (Centre for Global Atmospheric Modelling) at the University of Reading. UJCC makes use of a broad group of models in order to systematically explore the role and value of resolution in climate system research. The dataset comprises of UJCC 30 year simulations from models at resolutions of either (1.25 lat x 1.875 lon) or (0.83 lat x 1.25 lon) with differing degrees of atmosphere-ocean coupling (1 degree ocean or 1/3 degree ocean). The dataset also includes NUGAM (Nihon-UK Global Environmental Model) Atmosphere only simulations and NUGEM Coupled atmosphere and ocean simulations which are both at the same resolution (0.83 lat x 0.56 lon, corresponding to ~60 km in mid-latitudes)." } ], "responsiblepartyinfo_set": [ 2987, 2992, 2986, 2989, 2990, 2991, 2994, 2988, 2993 ], "onlineresource_set": [] }, { "ob_id": 991, "uuid": "e91fbe126e70b45849d94e58cc389ea7", "title": "Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE): NASA ER-2 aircraft measurements", "abstract": "The Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) was based at the NASA Ames Research Centre in California during portions of 1992 and 1993. This dataset contains measurements of meteorological parameters, atmospheric composition, aerosol and cloud plus GOES imagery and TOMS column ozone.\r\n\r\nThe overall data collection consist of measurements collected onboard the NASA ER-2 aircraft, and selected radiosonde soundings from stations in the region of the experiment. Flights were conducted during October and November of 1992, April and May of 1993, and October of 1993.\r\n\r\nTheory team products come in two forms: as quantities evaluated along flight tracks and as global or hemispheric fields. Meteorological quantities, such as temperature, geopotential, and potential vorticity are available in both forms. They are based on analyses from both the U.S. National Meteorological Center and from the Assimilation Model of NASA's Goddard Space Flight Center. Other quantities, available along flight tracks only, include visible reflectivity, cloud height, UV reflectivity, and total ozone. The first two are derived from GOES imagery, the last two from the Meteor TOMS sensor. Finally, calculations of mixing ratios of selected chemical species using a photochemical steady state model are available along the flight track.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1998-07-24T17:46:49", "updateFrequency": "notPlanned", "dataLineage": "Data were collected onboard the NASA ER-2 aircraft, and selected radiosonde soundings from stations in the region of the experiment. Flights were conducted during October and November of 1992, April and May of 1993, and October of 1993. Data collected and prepared by NASA prior to publication on CD-ROM. BADC have obtained a copy of these data to assist in data discovery.", "removedDataReason": "", "keywords": "SPADE, Aircraft, Meteorology, Chemistry, Aerosols, stratosphere, photochemistry, dynamics", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-06T17:10:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 992, "dataPath": "/badc/CDs/spade9293/data/er2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 72770775, "numberOfFiles": 332, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 266, "startTime": "1992-10-12T23:00:00", "endTime": "1993-10-25T00:00:00" }, "resultQuality": { "ob_id": 250, "explanation": "Data prepared by NASA prior to publication. See documentation for further details.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 993, "uuid": "b1deb44b6cdf4d1bbb66a50c9c57699f", "short_code": "acq", "title": "Acquisition Process for: Data from FAAM/BAE systems or other aircraft: Flight log at NASA ER-2 aircraft for the Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: FAAM/BAE systems or other aircraft: Flight log; PLATFORMS: NASA ER-2 aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 16 ], "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": 930, "uuid": "dcd89ae3cc129aa4ff4b3fb99bd69554", "short_code": "proj", "title": "Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE)", "abstract": "SPADE was a NASA aircraft campaign based at NASA Ames during 1992 and 1993." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21764, 21771, 21778, 21779, 21817, 21823, 22320, 22321, 22341, 22390, 22424, 22444, 22445, 22890, 23106, 23127, 23128, 23131, 23132, 24486, 24487, 25381, 25383, 25385, 25386, 25388, 25390, 25391, 25392, 25393, 25394, 25396, 25398, 25399, 25400, 25404, 25843, 25846, 25850, 25852, 25853, 25854, 25855, 25856, 25857, 25858, 25859, 25860 ], "vocabularyKeywords": [], "identifier_set": [ 677, 671, 665, 674, 660, 668, 701, 698, 692, 686, 695, 689, 683, 680 ], "observationcollection_set": [ { "ob_id": 927, "uuid": "44beda2983d4b3522d33ce1aaf794151", "short_code": "coll", "title": "Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE): Airborne Measurements of Meteorological Parameters, Atmospheric Composition and Aerosols", "abstract": "This dataset collection contains data from the Stratospheric Photochemistry, Aerosols and Dynamics Expedition (SPADE) which was based at NASA Ames Research Center in California during portions of 1992 and 1993.\r\n\r\nThe data consist of measurements collected onboard the NASA ER-2 aircraft, and selected radiosonde soundings from stations in the region of the experiment. Flights were conducted during October and November of 1992, April and May of 1993, and October of 1993.\r\n\r\nTheory team products come in two forms: as quantities evaluated along flight tracks and as global or hemispheric fields. Meteorological quantities, such as temperature, geopotential, and potential vorticity are available in both forms. They are based on analyses from both the U.S. National Meteorological Center and from the Assimilation Model of NASA's Goddard Space Flight Center. Other quantities, available along flight tracks only, include visible reflectivity, cloud height, UV reflectivity, and total ozone. The first two are derived from GOES imagery, the last two from the Meteor TOMS sensor. Finally, calculations of mixing ratios of selected chemical species using a photochemical steady state model are available along the flight track." } ], "responsiblepartyinfo_set": [ 3179, 3180, 3181, 3184, 3177, 3182, 3176, 3178, 3183 ], "onlineresource_set": [] }, { "ob_id": 995, "uuid": "5239a36bcbc768bb3783bb260b55221e", "title": "Flood Risk for Extreme Events (FREE): C-Band Radar data from UK Radar Network from June 2007 to June 2009", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains radar measurements.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-04-23T11:50:32", "updateFrequency": "notPlanned", "dataLineage": "Data were collected using Doppler radar in England and Wales. All measured profiles have been interpolated to the instrument location.\r\nData and metadata files were supplied as is by the Department of Meteorology, University of Reading in 2010, to the BADC for archiving.", "removedDataReason": "", "keywords": "FREE, RADAR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-09-22T18:07:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 774, "bboxName": "UK radar", "eastBoundLongitude": 4.41954, "westBoundLongitude": -8.56493, "southBoundLatitude": 49.53098, "northBoundLatitude": 53.11007 }, "verticalExtent": null, "result_field": { "ob_id": 996, "dataPath": "/badc/free/data/NE-E002137-1_flood_forecasting/radar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2170066, "numberOfFiles": 71, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 267, "startTime": "2007-06-18T23:00:00", "endTime": "2009-06-28T23:00:00" }, "resultQuality": { "ob_id": 251, "explanation": "Unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1004, "uuid": "92b942d2d03a49eea59b928074504203", "short_code": "acq", "title": "Acquisition Process for: C-Band Radar data from UK Radar Network from June 2007 to June 2009", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Met Office C-band radar; PLATFORMS: Chenies Radar Station, UK, Clee Hill Radar Station, UK, Cobbacombe Cross Radar Station, UK, Dean Hill Radar Station, UK, Thurnham, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 17 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 997, "uuid": "ed171402ecb8c39456f28630c9467d77", "short_code": "proj", "title": "Flood Risk for Extreme Events (FREE) NERC Research Programme", "abstract": "Flood Risk from Extreme Events (FREE) is research to predict floods minutes to weeks and seasons to decades ahead.\r\nThe programme uses environmental science to investigate the physical processes involved in generating extreme events, so they can be better forecasted.\r\nThe FREE programme will research what causes and propagates floods, so helping to forecast and quantify flood risk, and inform our society about the likely effects of climate change. The FREE programme started in 2005 and ended in 2010. There have been three rounds of awards, through which 13 projects have been funded." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57314, 57317, 89155, 89156, 89157, 89158 ], "vocabularyKeywords": [], "identifier_set": [ 704 ], "observationcollection_set": [ { "ob_id": 994, "uuid": "f37b798c177e7de3c07426b4fc619d13", "short_code": "coll", "title": "Flood Risk for Extreme Events (FREE): Radiosonde, Wind Profiles Data and Model Output from the Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting project", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\nModel output files from experiments assimilating radial winds from insects are also available.\r\n\r\nFloods in the UK are often caused by extreme rainfall events. At present, weather forecasts can give an indication of a threat of severe storms which might cause flash floods, but are unable to say precisely when and where the downpours will occur, due to the complex range of processes and space-time scales involved. The first stage is to predict the air motions leading to convergence and ascent at a certain location where the precipitation will be initiated, then the development of the precipitation needs to be forecast, and hydrological models used to produce accurate, quantitative, probabilistic flood predictions. Data assimilation is a sophisticated mathematical technique that combines observations with model predictions to give an analysis of the current state of the atmosphere. This analysis may be used to initialise a weather forecast. Although precipitation is well observed by weather radar, attempts to assimilate radar data have had little success; by the time the rain develops the forecast model state is too far from the truth and the air motions are inconsistent with the position of the first radar precipitation echo.\r\n\r\nWe propose to overcome this problem by assimilating new types of data from weather radars. These provide information on the evolving humidity fields and air motions in the lower atmosphere so that the model can accurately track the developing storm before precipitation appears. The model used will be a new Met Office model that can be run with a resolution (i.e., grid-spacing) of order 1-4km. This enables storm-cloud motions to be explicitly calculated, rather than treated as a sub-grid-scale effect. Furthermore, current operational forecast models are only updated with observations every few hours; in the new approach the model will be updated much more frequently. This should yield weather forecasts with improved locations (in space-time) for rainfall events.\r\n\r\nInitialisation errors are not the only cause of inaccuracies in storm-scale weather forecasts. Models are often run only for a small region of the world, and the data on the boundaries of this area provided from a larger-scale model. These data are known as lateral boundary conditions. Errors in these lateral boundary conditions and modelling errors also contribute to the errors in the forecast. Even if these errors were reduced, the nonlinear nature of the storm dynamics ensures that there is a limit, beyond which the value of deterministic forecasts becomes questionable. After that point it becomes important to determine the uncertainties in the forecast precipitation, so an ensemble approach is required. (An ensemble is a collection of perturbed forecasts that may be considered as a statistical sample of the forecast probability distribution.)\r\n\r\nThe appropriate construction of a storm-scale ensemble is an open question. We propose a structured approach where perturbations will be designed on the basis of physical insight into convective forcing mechanisms. The resulting probabilistic rainfall forecasts can be interfaced to hydrological models used for flood forecasting. For the first time, this project will allow different scales of application of these methods to be supported: ranging from localised flash flooding of small catchments, through to indicative first-alert forecasting with UK-coverage and forecasting of river discharges to the sea. The project will also assess the impacts of improvements in numerical weather prediction on flood forecast performance.\r\n\r\nIn this project we anticipate fruitful interactions between the different disciplines of observations and measurement, meteorology and hydrology. Radar assimilation software development and ensemble forecasts will take place using Met Office models, so improvements can be implemented operationally very easily. The use of operational radars makes this project well placed to take advantage of data from any extreme events occurring during the period of the study.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 3195, 3200, 3194, 3197, 3198, 3199, 3202, 3196, 3201 ], "onlineresource_set": [] }, { "ob_id": 1005, "uuid": "136113d576d4f232cdb4d14126616577", "title": "Flood Risk for Extreme Events (FREE): Radiosonde ascents from various UK stations (June 2007-2009)", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains temperature and pressure measurements from radiosondes.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2010-04-23T11:50:29", "updateFrequency": "notPlanned", "dataLineage": "Data were collected using Doppler radar in England and Wales. 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This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\nModel output files from experiments assimilating radial winds from insects are also available.\r\n\r\nFloods in the UK are often caused by extreme rainfall events. At present, weather forecasts can give an indication of a threat of severe storms which might cause flash floods, but are unable to say precisely when and where the downpours will occur, due to the complex range of processes and space-time scales involved. 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Errors in these lateral boundary conditions and modelling errors also contribute to the errors in the forecast. Even if these errors were reduced, the nonlinear nature of the storm dynamics ensures that there is a limit, beyond which the value of deterministic forecasts becomes questionable. After that point it becomes important to determine the uncertainties in the forecast precipitation, so an ensemble approach is required. (An ensemble is a collection of perturbed forecasts that may be considered as a statistical sample of the forecast probability distribution.)\r\n\r\nThe appropriate construction of a storm-scale ensemble is an open question. We propose a structured approach where perturbations will be designed on the basis of physical insight into convective forcing mechanisms. The resulting probabilistic rainfall forecasts can be interfaced to hydrological models used for flood forecasting. For the first time, this project will allow different scales of application of these methods to be supported: ranging from localised flash flooding of small catchments, through to indicative first-alert forecasting with UK-coverage and forecasting of river discharges to the sea. The project will also assess the impacts of improvements in numerical weather prediction on flood forecast performance.\r\n\r\nIn this project we anticipate fruitful interactions between the different disciplines of observations and measurement, meteorology and hydrology. Radar assimilation software development and ensemble forecasts will take place using Met Office models, so improvements can be implemented operationally very easily. The use of operational radars makes this project well placed to take advantage of data from any extreme events occurring during the period of the study.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 3217, 3222, 3219, 3220, 3221, 3224, 3216, 3218, 3223 ], "onlineresource_set": [] }, { "ob_id": 1015, "uuid": "5a76a75b6d9ab25046fa7827e7ef981f", "title": "Flood Risk for Extreme Events (FREE): Wind profiler measurements from UK stations (June 2007-June 2009)", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. 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For the first time, this project will allow different scales of application of these methods to be supported: ranging from localised flash flooding of small catchments, through to indicative first-alert forecasting with UK-coverage and forecasting of river discharges to the sea. The project will also assess the impacts of improvements in numerical weather prediction on flood forecast performance.\r\n\r\nIn this project we anticipate fruitful interactions between the different disciplines of observations and measurement, meteorology and hydrology. Radar assimilation software development and ensemble forecasts will take place using Met Office models, so improvements can be implemented operationally very easily. 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The first stage is to predict the air motions leading to convergence and ascent at a certain location where the precipitation will be initiated, then the development of the precipitation needs to be forecast, and hydrological models used to produce accurate, quantitative, probabilistic flood predictions. Data assimilation is a sophisticated mathematical technique that combines observations with model predictions to give an analysis of the current state of the atmosphere. This analysis may be used to initialise a weather forecast. Although precipitation is well observed by weather radar, attempts to assimilate radar data have had little success; by the time the rain develops the forecast model state is too far from the truth and the air motions are inconsistent with the position of the first radar precipitation echo.\r\n\r\nWe propose to overcome this problem by assimilating new types of data from weather radars. These provide information on the evolving humidity fields and air motions in the lower atmosphere so that the model can accurately track the developing storm before precipitation appears. The model used will be a new Met Office model that can be run with a resolution (i.e., grid-spacing) of order 1-4km. This enables storm-cloud motions to be explicitly calculated, rather than treated as a sub-grid-scale effect. Furthermore, current operational forecast models are only updated with observations every few hours; in the new approach the model will be updated much more frequently. This should yield weather forecasts with improved locations (in space-time) for rainfall events.\r\n\r\nInitialisation errors are not the only cause of inaccuracies in storm-scale weather forecasts. Models are often run only for a small region of the world, and the data on the boundaries of this area provided from a larger-scale model. These data are known as lateral boundary conditions. Errors in these lateral boundary conditions and modelling errors also contribute to the errors in the forecast. Even if these errors were reduced, the nonlinear nature of the storm dynamics ensures that there is a limit, beyond which the value of deterministic forecasts becomes questionable. After that point it becomes important to determine the uncertainties in the forecast precipitation, so an ensemble approach is required. (An ensemble is a collection of perturbed forecasts that may be considered as a statistical sample of the forecast probability distribution.)\r\n\r\nThe appropriate construction of a storm-scale ensemble is an open question. We propose a structured approach where perturbations will be designed on the basis of physical insight into convective forcing mechanisms. The resulting probabilistic rainfall forecasts can be interfaced to hydrological models used for flood forecasting. 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The use of operational radars makes this project well placed to take advantage of data from any extreme events occurring during the period of the study.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 3270, 3275, 3269, 3272, 3273, 3274, 3277, 3271, 3276 ], "onlineresource_set": [] }, { "ob_id": 1029, "uuid": "dee6d47c458aef19cbf58622a5247ae5", "title": "Flood Risk for Extreme Events (FREE): Model equivalent (radiosonde, radar, windprofiler) profiles from the UKMO UK 4km operational archives (June 2007-2009)", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. 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The FREE programme started in 2005 and ended in 2010. There have been three rounds of awards, through which 13 projects have been funded." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 57314, 57317, 69480, 69481, 89155, 89158, 89719, 89720, 89721, 89722 ], "vocabularyKeywords": [], "identifier_set": [ 748 ], "observationcollection_set": [ { "ob_id": 994, "uuid": "f37b798c177e7de3c07426b4fc619d13", "short_code": "coll", "title": "Flood Risk for Extreme Events (FREE): Radiosonde, Wind Profiles Data and Model Output from the Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting project", "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\nModel output files from experiments assimilating radial winds from insects are also available.\r\n\r\nFloods in the UK are often caused by extreme rainfall events. At present, weather forecasts can give an indication of a threat of severe storms which might cause flash floods, but are unable to say precisely when and where the downpours will occur, due to the complex range of processes and space-time scales involved. The first stage is to predict the air motions leading to convergence and ascent at a certain location where the precipitation will be initiated, then the development of the precipitation needs to be forecast, and hydrological models used to produce accurate, quantitative, probabilistic flood predictions. Data assimilation is a sophisticated mathematical technique that combines observations with model predictions to give an analysis of the current state of the atmosphere. This analysis may be used to initialise a weather forecast. Although precipitation is well observed by weather radar, attempts to assimilate radar data have had little success; by the time the rain develops the forecast model state is too far from the truth and the air motions are inconsistent with the position of the first radar precipitation echo.\r\n\r\nWe propose to overcome this problem by assimilating new types of data from weather radars. These provide information on the evolving humidity fields and air motions in the lower atmosphere so that the model can accurately track the developing storm before precipitation appears. The model used will be a new Met Office model that can be run with a resolution (i.e., grid-spacing) of order 1-4km. This enables storm-cloud motions to be explicitly calculated, rather than treated as a sub-grid-scale effect. Furthermore, current operational forecast models are only updated with observations every few hours; in the new approach the model will be updated much more frequently. This should yield weather forecasts with improved locations (in space-time) for rainfall events.\r\n\r\nInitialisation errors are not the only cause of inaccuracies in storm-scale weather forecasts. Models are often run only for a small region of the world, and the data on the boundaries of this area provided from a larger-scale model. These data are known as lateral boundary conditions. Errors in these lateral boundary conditions and modelling errors also contribute to the errors in the forecast. Even if these errors were reduced, the nonlinear nature of the storm dynamics ensures that there is a limit, beyond which the value of deterministic forecasts becomes questionable. After that point it becomes important to determine the uncertainties in the forecast precipitation, so an ensemble approach is required. (An ensemble is a collection of perturbed forecasts that may be considered as a statistical sample of the forecast probability distribution.)\r\n\r\nThe appropriate construction of a storm-scale ensemble is an open question. We propose a structured approach where perturbations will be designed on the basis of physical insight into convective forcing mechanisms. The resulting probabilistic rainfall forecasts can be interfaced to hydrological models used for flood forecasting. For the first time, this project will allow different scales of application of these methods to be supported: ranging from localised flash flooding of small catchments, through to indicative first-alert forecasting with UK-coverage and forecasting of river discharges to the sea. The project will also assess the impacts of improvements in numerical weather prediction on flood forecast performance.\r\n\r\nIn this project we anticipate fruitful interactions between the different disciplines of observations and measurement, meteorology and hydrology. Radar assimilation software development and ensemble forecasts will take place using Met Office models, so improvements can be implemented operationally very easily. The use of operational radars makes this project well placed to take advantage of data from any extreme events occurring during the period of the study.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 3279, 3284, 3278, 3281, 3282, 3283, 3286, 3280, 3285 ], "onlineresource_set": [] }, { "ob_id": 1033, "uuid": "605975e19ce585889dd9855b8d254b86", "title": "MSF experiments", "abstract": "These data are held by the BADC for the Natural Environment Research Council (NERC) Molecular Spectroscopy Facility (MSF). MSF provides world-class scientific equipment and support for infrared (IR),visible, and ultraviolet (UV) spectroscopy. The MSF laboratories are used by many UK and international customers in a wide range of research and development programmes. The data are spectra of various atmospheric gases. 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The messages contain measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, temperature, sunshine duration, precipitation amount, and present and past weather. The data span from 1974 to present.\r\n\r\nNote: from 1st November 2016 the data go from 57 to 58 columns with the introduction of additional quality control checks performed within the MIDAS system and an associated 'version number' column added to the data. See documentation for further details.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2025-07-08T12:03:42", "updateFrequency": "monthly", "dataLineage": "Data collated by the Met Office and archived in the Met Office's MIDAS database. 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Acquisition: Acquisition Process for: UGAMP Ozone Climatology; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NIMBUS 7 Satellite; \r\n3. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Solar Mesosphere Explorer (SME) satellite; \r\n" }, "imageDetails": [ 22 ], "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": 1275, "uuid": "6e314ec2b77cfda3bcb6be8627119ce2", "short_code": "proj", "title": "UK Universities' Global Atmospheric Modelling Programme (UGAMP)", "abstract": "The Natural Environment Research Council (NERC) support fundamental research in all areas of atmospheric science carried out by the university based research community. UGAMP (UK Universities' Global Atmospheric Modelling Programme) funded by NERC, helped to strengthen the role of the UK universities in the vital area of numerical modelling of the large scale atmosphere.\r\n\r\nUGAMP has allowed UK university groups to lead developments in many areas of atmospheric science such as storm-tracks, monsoons and ozone loss, and to play an important part in international scientific programmes. By establishing close working relationships with two of the World's leading weather centres, ECMWF and the UK Meteorological Office, UGAMP has been able to take full advantage of their modelling developments and has enjoyed the additional benefit of access to the best available atmospheric data sets. UGAMP continues to deliver excellence in research, excellence in technical support and excellence in training for young scientists.\r\n\r\nUGAMP has close links to many UK and International organisations, including:\r\n\r\nUnited Kingdom Meteorological Office\r\nEuropean Centre for Medium-Range Weather Forecasts\r\nBritish Antarctic Survey\r\nBritish Atmospheric Data Centre\r\nCentre for Ecology and Hydrology\r\nEnvironmental Science Systems Centre (formerly NUTIS)\r\nUpper Troposphere Lower Stratosphere Ozone Scientific Research Programme (UTLS)\r\nClimatic Research Unit\r\nLeeds University , School of Chemistry\r\nLeicester University , Earth Observation Science group\r\nSouthampton Oceanography Centre\r\nLawrence Livermore National Laboratory\r\nMétéo France" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21771, 22896, 25394 ], "vocabularyKeywords": [], "identifier_set": [ 927 ], "observationcollection_set": [ { "ob_id": 1272, "uuid": "bff84b935ce5aa9f04624777b0eea507", "short_code": "coll", "title": "UK Universities Global Atmospheric Modelling Programme (UGAMP) Global Ozone Climatology Project Dataset", "abstract": "The UGAMP ozone climatology consists in a 4-dimensional distribution of ozone that has been built up from the combination of several observational data sets. These data sets include satellite observations (SBUV, SAGE II, SME, TOMS) as well as ozone sonde data provided by the Atmospheric Environment Service of Canada. This global climatology, covering five years (1985 to 1989), was originally established to replace the simpler ozone climatologies used as input in the UGAMP models (ECMWF parameterization or 2-D zonal means deduced from satellite data). It provides monthly means of the ozone column above the grid levels as well as 5-year averages and zonal averages of these monthly means, on a 2.5 x 2.5 deg horizontal grid and over 47 levels, from the ground up to 0.001 mb. Software to convert ozone columns into mixing ratio and to interpolate the data on any required grid is also available." } ], "responsiblepartyinfo_set": [ 3975, 3974, 3977, 3978, 3979, 3980, 3981, 3976 ], "onlineresource_set": [ 23776 ] }, { "ob_id": 1286, "uuid": "35c4a295ea7885ba88e17b0087c7fff3", "title": "RAPID: Meteorology and climatlology HadCM3 experiment control output", "abstract": "\"To what extent was the Little Ice Age a result of a change in the thermohaline circulation?\" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. \r\n\r\nThe dataset contains meteorology and climatology model output from the HadCM3 model.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:11:18", "updateFrequency": "asNeeded", "dataLineage": "Data from Climatic Research Unit, University of East Anglia", "removedDataReason": "", "keywords": "RAPID, Climate change, Atlantic Ocean's Thermohaline Circulation", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-21T17:18:30", "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": 1287, "dataPath": "/badc/rapid/data/Osborn_Rapid1_JointAO/control", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 66230907908, "numberOfFiles": 9449, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 5012, "startTime": "1991-08-31T23:00:00", "endTime": "2008-07-24T22:59:59" }, "resultQuality": { "ob_id": 314, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 7452, "uuid": "10c5108e23554417a30bf69733c6e4d1", "short_code": "comp", "title": "Hadley Centre Coupled Model 3 (HadCM3) deployed on unknown computer", "abstract": "This computation involved: Hadley Centre Coupled Model 3 (HadCM3)." }, "procedureCompositeProcess": null, "imageDetails": [ 23 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13397, "uuid": "3e02c3fc68f24b51afee68e954d62dc7", "short_code": "proj", "title": "RAPID Joint International A0 Project: To what extent was the Little Ice Age a result of a change in the THC?", "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\nFor a full understanding of the global climate system, it is imperative to integrate research on empirical climate reconstruction with physical modelling studies of the Earth's climate, using numerical models of varying complexity to address important questions about the attribution of past and future climate changes to specific natural and anthropogenic factors. The focus of this project was on testing various hypotheses about the possible causes of the Little Ice Age. A carefully-designed set of model experiments (incorporating novel methods of assimilating information on climate time scales) were proposed, with the outputs assessed through comparison against empirical palaeoclimate evidence for climate variations over the past millennium. Specifically exploreed whether the Little Ice Age climate could have been generated by one or more of the following factors: a weakening of the Atlantic thermohaline circulation; the persistence of a generally negative North Atlantic Oscillation; or reduced radiative forcing (by increased volcanic activity, reduced solar insolation and lower greenhouse gas concentrations relative to the present). " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1319, 1320, 1321, 1322, 1323, 1325, 3063, 3064, 3105, 52405, 53874, 53875, 53876, 53877, 53878, 53879, 53880, 53881, 53882, 53883, 53884, 53885, 53886, 53887, 53888, 53889, 53890, 53891, 53892, 53893, 53894, 53895, 53896, 53897, 53898, 53899, 53900, 53901, 53902, 53903, 53904, 53905, 53906, 53907, 53908, 53909, 53910, 53911, 53912, 53913, 53914, 53915, 53916, 53918, 53919, 53920, 53921, 53922, 53923, 53924, 53925, 53926, 55188, 55189 ], "vocabularyKeywords": [], "identifier_set": [ 940 ], "observationcollection_set": [ { "ob_id": 1285, "uuid": "99a628f510a7a67b928bbaea8d091911", "short_code": "coll", "title": "RAPID To What Extent was the Little Ice Age a Result of a Change in the Thermohaline Circulation?: HadCM3 model outputs", "abstract": "\"To what extent was the Little Ice Age a result of a change in the thermohaline circulation?\" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. \r\n\r\nThe dataset collection contains various model experiment output used in an analysis of whether the Little Ice Age climate could have been generated by one or more of the following factors: a weakening of the Atlantic thermohaline circulation; the persistence of a generally negative North Atlantic Oscillation; or reduced radiative forcing (by increased volcanic activity, reduced solar insolation and lower greenhouse gas concentrations relative to the present).\r\n\r\nRapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.\r\n" } ], "responsiblepartyinfo_set": [ 4001, 4000, 4003, 4004, 4005, 4006, 72127, 4002, 72128, 72474 ], "onlineresource_set": [] }, { "ob_id": 1289, "uuid": "ef3e53aef4dca2030ebc9e84aa908d74", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.4 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project", "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-01T00:06:57", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the University of Reading partners of the VALOR project before preparation and delivery for archiving by the BADC.", "removedDataReason": "", "keywords": "VALOR, RAPID-Watch", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2013-06-27T09:34:43", "doiPublishedTime": "2013-07-08T23:00:00", "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": 1290, "dataPath": "/badc/rapid-watch/data/Sutton/VALOR/ORCA025_FOAM", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 621397443343, "numberOfFiles": 1058, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 387, "startTime": "1989-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 315, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 1293, "uuid": "9adfa03544a443a8ba1f4a3aba380850", "short_code": "comp", "title": "University of Reading NEMO coupled ice-ocean model v3.2", "abstract": "This computation involved: Reading University Ocean Reanalysis Software deployed on Reading University computer. Reading University developed ocean reanalysis software which uses the NEMOv3.2 ocean model in configuration ORCA025_LIM (1/4 deg by 75 vertical levels). The model is forced with ECMWF ERA-Interim atmospheric reanalysis without corrections for radiation and precipitation and bulk fluxes calculated as in Large and Yeager (2004). The vertical grid has 75 levels with partial steps at the bottom. The data assimilation methodology is similar to what is currently employed in the UK Met Office operational FOAM - NEMO system (Storkey et al., 2010). It is an OI-type scheme with assimilation increments calculated using a first-guess-at-appropriate- time (FGAT) scheme every 5 days and introduced evenly over the period in an incremental analysis update (IAU) step. UR025.4 assimilates in situ and satellite-based SSTs, altimeter SLA from AVISO/CLS using the Rio et al. (2005) mean dynamic topography (MDT), in situ temperature and salinity profile observations obtained from the UK Met Office ENACT/ENSEMBLES (EN3_v2a_NoCWT_LevitusXBTMBT_ Corr) data set, which includes bias corrections for XBT and MDT data, and satellite-based sea ice concentrations from the EUMETSAT Ocean Sea Ice Satellite Application Facility (OSI-SAF).\r\n\r\n" }, "procedureCompositeProcess": null, "imageDetails": [ 24 ], "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": 1291, "uuid": "a4d5e011739f1e5be244c3b895804f38", "short_code": "proj", "title": "RAPID-WATCH - The Value of the RAPID array for climate predictions (VALOR)", "abstract": "The Atlantic Meridional Overturning Circulation (AMOC) involves a northward movement of warm surface waters balanced by a southward movement of cold deep waters. The net effect is to transport ~1PW of heat northwards. This heat is released to the atmosphere in mid-high latitudes, where it acts to warm the climate, notably in northern Europe. The future behaviour of the AMOC is an issue of major importance in climate prediction. Forecasts presented by the Intergovernmental Panel on Climate Change (IPCC) suggest that, in response to greenhouse gas forcing, the AMOC may slow down, reducing the northward transport of heat by the Atlantic Ocean, and leading to a cooling of northern Europe that could offset anthropogenic warming. Moreover, there is evidence from palaeoclimate records that the AMOC can undergo very rapid transitions such as a total shutdown within little more than a decade. \r\n\r\nIt is possible that increasing levels of greenhouse gases could trigger such a rapid change with potentially serious consequences for societies in Europe and other regions surrounding the Atlantic basin. In the face of such risks, there is an obvious need for better, more quantitative, forecasts of the future behaviour of the AMOC. Such forecasts could provide early warning of possible rapid changes in the AMOC in future The RAPID array is a measurement system for observing the current state of the AMOC. \r\n\r\nThe overarching goal of the VALOR project was to assess the value of these observations for predicting the future behaviour of the AMOC, and its impacts on climate. The project explored a range of issues concerning the design of a potential AMOC prediction system. To achieve its goals VALOR exploited the RAPID observations in a variety of ways. First the observations were used as independent data to assess the quality of current ocean \"analyses\" (An \"analysis\" provides a quantitative description of the state of the ocean at a given time.). Next, they were used to improve the analyses. Finally, they were used to provide the starting conditions for a large set of \"hindcasts\". Hindcasts are predictions made from a date in the past, which only make use of information that would have been available at that date. These predictions can then be compared to what actually happened to assess prediction skill. \r\n\r\nVALOR carried out a suite of hindcast experiments to quantify the extent to which the RAPID observations can improve the skill of predictions of the AMOC and its impacts on climate. An important dimension of the project is that it involves agencies who are directly involved in operational climate forecasting: the Met Office Hadley Centre (MOHC) and the European Centre for Medium Range Weather Forecasting. By involving these partners from the start the project will benefit from their experience and expertise, and the scientific advances achieved through the research will feed directly into better climate predictions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50623, 50624, 50626, 50627, 50628, 50629, 50630, 50631, 50632, 50633, 50634, 50635, 50636, 50637, 50638, 50639, 50640, 50641, 50642, 50643, 50644, 50645, 50646, 50647, 50648, 50649, 50650, 50651, 63050 ], "vocabularyKeywords": [], "identifier_set": [ 943, 944 ], "observationcollection_set": [ { "ob_id": 1288, "uuid": "6d174866bffa027564340a4cd561ddfa", "short_code": "coll", "title": "RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output", "abstract": "RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future climate and, particularly, the future state of the AMOC.\r\n\r\nThis dataset collection contains NEMO, FOAM AND ECMWF Model output.\r\n\r\nThe project developed ways to assimilate the RAPID-WATCH and other ocean observations into ocean models which were then used to produce ocean 'syntheses' - complete data sets of our best guess of past ocean state. Similar syntheses were also produced which exclude the RAPID-WATCH observations. Both of these sytheses were then used to start prediction experiments in climate models. By comparing the climate model simulations starting with and without the RAPID-WATCH observations, the impact of the the RAPID-WATCH array observations on climate predictions, and the climate model AMOC were found." } ], "responsiblepartyinfo_set": [ 4015, 4017, 4018, 4019, 44851, 44856, 74394, 4016, 44852, 44853, 44854, 44855 ], "onlineresource_set": [ 541, 15241, 15242, 94995 ] }, { "ob_id": 1294, "uuid": "e2be4f560e776244ab71d2c2ab7495f6", "title": "Numerical data from the Global Ocean Physics Reanalysis UR025.3 (1989-2010) as part of the VALue of the RAPID-WATCH Climate Change programme array (VALOR) project", "abstract": "This dataset is one of 2 global ocean reanalyses (named UR025.3 and UR025.4) produced by National Centre for Earth Observation at the University or Reading as part of the EU MyOcean project. Both datasets have been validated against observations. This dataset contains monthly mean output from UR025.3 reanalysis (which uses an older version of the NEMO model v2.3 and assimilates only EN3 T/S profile data).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T02:15:05", "updateFrequency": "notPlanned", "dataLineage": "Data were prepared by the RAPID-Watch VALOR team before submission to the BADC for archival", "removedDataReason": "", "keywords": "RAPID, NEMO, Climate Change", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2013-06-27T09:20:56", "doiPublishedTime": "2013-07-10T23:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 20, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 1295, "dataPath": "/badc/rapid-watch/data/Sutton/VALOR/ORCA025_NEMO2_3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 320913004643, "numberOfFiles": 823, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 388, "startTime": "1989-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 316, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 19207, "uuid": "abaf95a2ba174025a34d8b6ef5289b2b", "short_code": "comp", "title": "University of Reading NEMO coupled ice-ocean model v2.3", "abstract": "Model: NEMO coupled ice-ocean model v2.3\r\nConfiguration: ORCA025_LIM2 (1/4o by 46 vertical levels)\r\nData assimilated: UR025.3 assimilates in situ temperature and salinity observations that were obtained from the UK Met Office quality controlled ENACT/ENSEMBLES (EN3_v2a) dataset available from (http://www.metoffice.gov.uk/hadobs/en3/) A detailed description of the data set including the quality control processing is presented in Ingleby and Huddleston (2007). Assimilation method: Temperature profiles (T) are assimilated along with a salinity balancing increment following the method of Troccoli and Haines, 1999). Salinity profiles (S) are then assimilated along isotherms (i.e., S(T)) up to latitudes of around 50oN/S, using the methodology described by Haines et al. (2006). At higher latitudes salinity is assimilated in a univariate way on z levels. Model – data differences (innovations) are evaluated at the closest model time step, and assimilation increments are calculated every 5 days. Increments are then introduced into the model evenly over the following day (Incremental Analysis Updating, Bloom et al., 1996). Smith and Haines (2009) give more details of the assimilation methodology. Surface Forcing: Surface atmospheric forcing for UR025.3 is obtained from ECMWF ERA-Interim atmospheric reanalysis (Simmons et. al., 2007; Dee and Uppala, 2009; Dee et al., 2011). The ERA-Interim reanalysis provides 10-m wind, 2-m air humidity and 2-m air temperature to compute 6-hourly turbulent air/sea and air/sea-ice fluxes during model integration, using the bulk formula proposed by Large and Yeager (2004, 2009). Downwelling short and long wave radiative fluxes and precipitation are also provided by ERA-Interim. The river runoff is Dai and Trenberth (2002). To prevent drift in the density distributions, a sea surface salinity relaxation to the WOA05 climatology, Boyer et al (2006), is applied with a timescale of 180 days for the top 10 m at the ice-free surface, decreasing to 36 days under ice." }, "procedureCompositeProcess": null, "imageDetails": [ 24 ], "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": 1291, "uuid": "a4d5e011739f1e5be244c3b895804f38", "short_code": "proj", "title": "RAPID-WATCH - The Value of the RAPID array for climate predictions (VALOR)", "abstract": "The Atlantic Meridional Overturning Circulation (AMOC) involves a northward movement of warm surface waters balanced by a southward movement of cold deep waters. The net effect is to transport ~1PW of heat northwards. This heat is released to the atmosphere in mid-high latitudes, where it acts to warm the climate, notably in northern Europe. The future behaviour of the AMOC is an issue of major importance in climate prediction. Forecasts presented by the Intergovernmental Panel on Climate Change (IPCC) suggest that, in response to greenhouse gas forcing, the AMOC may slow down, reducing the northward transport of heat by the Atlantic Ocean, and leading to a cooling of northern Europe that could offset anthropogenic warming. Moreover, there is evidence from palaeoclimate records that the AMOC can undergo very rapid transitions such as a total shutdown within little more than a decade. \r\n\r\nIt is possible that increasing levels of greenhouse gases could trigger such a rapid change with potentially serious consequences for societies in Europe and other regions surrounding the Atlantic basin. In the face of such risks, there is an obvious need for better, more quantitative, forecasts of the future behaviour of the AMOC. Such forecasts could provide early warning of possible rapid changes in the AMOC in future The RAPID array is a measurement system for observing the current state of the AMOC. \r\n\r\nThe overarching goal of the VALOR project was to assess the value of these observations for predicting the future behaviour of the AMOC, and its impacts on climate. The project explored a range of issues concerning the design of a potential AMOC prediction system. To achieve its goals VALOR exploited the RAPID observations in a variety of ways. First the observations were used as independent data to assess the quality of current ocean \"analyses\" (An \"analysis\" provides a quantitative description of the state of the ocean at a given time.). Next, they were used to improve the analyses. Finally, they were used to provide the starting conditions for a large set of \"hindcasts\". Hindcasts are predictions made from a date in the past, which only make use of information that would have been available at that date. These predictions can then be compared to what actually happened to assess prediction skill. \r\n\r\nVALOR carried out a suite of hindcast experiments to quantify the extent to which the RAPID observations can improve the skill of predictions of the AMOC and its impacts on climate. An important dimension of the project is that it involves agencies who are directly involved in operational climate forecasting: the Met Office Hadley Centre (MOHC) and the European Centre for Medium Range Weather Forecasting. By involving these partners from the start the project will benefit from their experience and expertise, and the scientific advances achieved through the research will feed directly into better climate predictions." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 9157, 9158, 9159, 9160, 9161, 9162, 9175, 9176, 9177, 9178, 9179, 9180, 9181, 9182, 9186, 9188, 9189, 9192, 9193, 9198, 9199, 9203, 9205, 9206, 9207 ], "vocabularyKeywords": [], "identifier_set": [ 951, 952 ], "observationcollection_set": [ { "ob_id": 1288, "uuid": "6d174866bffa027564340a4cd561ddfa", "short_code": "coll", "title": "RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output", "abstract": "RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future climate and, particularly, the future state of the AMOC.\r\n\r\nThis dataset collection contains NEMO, FOAM AND ECMWF Model output.\r\n\r\nThe project developed ways to assimilate the RAPID-WATCH and other ocean observations into ocean models which were then used to produce ocean 'syntheses' - complete data sets of our best guess of past ocean state. Similar syntheses were also produced which exclude the RAPID-WATCH observations. Both of these sytheses were then used to start prediction experiments in climate models. By comparing the climate model simulations starting with and without the RAPID-WATCH observations, the impact of the the RAPID-WATCH array observations on climate predictions, and the climate model AMOC were found." } ], "responsiblepartyinfo_set": [ 4029, 44820, 44824, 4031, 4032, 4033, 108765, 4030, 44821, 44822 ], "onlineresource_set": [ 15239, 15240, 94996 ] }, { "ob_id": 1308, "uuid": "42cd8b9c2d59cb92e643064c78cda4c6", "title": "Stratosphere-Troposphere Exchange Project (STEP): Airborne trace gas and aerosol measurements during flight 1 of the NASA ER-2 aircraft", "abstract": "Data from flight 1 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:04:32", "updateFrequency": "notPlanned", "dataLineage": "Data collected onboard the NASA ER-2 aircraft in January and February, 1987 based in Darwin, Australia, and processed by members of the STEP project before publication on CD-ROM. A copy of the data was obtained by the BADC to assist in data discovery.", "removedDataReason": "", "keywords": "STEP, Aerosols, Aircraft", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-07T00:10:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 21, "bboxName": "", "eastBoundLongitude": 130.0, "westBoundLongitude": -122.0, "southBoundLatitude": -30.0, "northBoundLatitude": 37.0 }, "verticalExtent": null, "result_field": { "ob_id": 1309, "dataPath": "/badc/CDs/step87/step87/data/flight01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2432240, "numberOfFiles": 8, "fileFormat": "Data are NASA Ames formatted\r\n\r\n" }, "timePeriod": { "ob_id": 392, "startTime": "1987-01-08T00:00:00", "endTime": "1987-02-19T00:00:00" }, "resultQuality": { "ob_id": 320, "explanation": "Data were collected and prepared by the STEP project partners. See documentation for further details.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1311, "uuid": "49ee74f634834d7e8c8e2c4251f7eb5b", "short_code": "acq", "title": "Acquisition Process for: Data from NASA ER-2 Ames UV ozone photometer at NASA ER-2 aircraft for the Stratosphere-Troposphere Exchange Project (STEP) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: NASA ER-2 Ames UV ozone photometer; PLATFORMS: NASA ER-2 aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 26 ], "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": 1300, "uuid": "da63dc9bb508c26f957b31d20539288d", "short_code": "proj", "title": "Stratosphere-Troposphere Exchange Project (STEP)", "abstract": "The Stratosphere-Troposphere Exchange Project (STEP) was conducted onboard the NASA ER-2 aircraft in January and February, 1987 based in Darwin, Australia. STEP was carried out under NASA and the National Oceanic Atmospheric Administration (NOAA)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13200, 21758, 21762, 21764, 21767, 21769, 21771, 21772, 21777, 21778, 21779, 21780, 25381, 25383, 25388, 25393, 25394, 25396, 25404, 25843, 25850, 25852, 25857, 25949, 25950, 25984 ], "vocabularyKeywords": [], "identifier_set": [ 961, 978, 971, 960, 972, 967, 955, 959, 964, 975, 968 ], "observationcollection_set": [ { "ob_id": 1297, "uuid": "69ad272b5fb60dd1c0361ed20bec341a", "short_code": "coll", "title": "Stratosphere-Troposphere Exchange Project (STEP): Trace Gases and Aerosol Measurements", "abstract": "This data was collected from the Stratosphere-Troposphere Exchange Project (STEP) conducted onboard the NASA ER-2 aircraft in January and February, 1987 based in Darwin, Australia. This mission was the last of 6 STEP missions which began with the Global Tropospheric Experiment (GTE) in April 1984.\r\n\r\nThe Darwin, Australia phase of STEP utilized 15 instruments and accessed the world's highest, coldest tropopause as well as the largest penetrating cumulonimbus anvils. The flights were designed to test a dehydration mechanism proposed by Danielsen (1982), as well as to acquire sufficient data to test and develop other hypotheses.\r\n\r\nThe STEP missions were designed to investigate different aspects of stratosphere-troposphere exchange (in mass, trace gases, and aerosols), including cloud-free and cloud-dominated mechanisms in both the mid-latitudes and the tropics. STEP was carried out under NASA and the National Oceanic Atmospheric Administration (NOAA).\r\n\r\nData from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public." } ], "responsiblepartyinfo_set": [ 4088, 4093, 4087, 4090, 4091, 4092, 4098, 4089, 4094, 4095, 4096, 4097 ], "onlineresource_set": [] }, { "ob_id": 1343, "uuid": "f16610bffe258458d41dcfe23a39de36", "title": "Polluted Troposphere Fronts: Met Office operational unified model (UM) pollutant transport simulations by the University of Reading", "abstract": "Transport and mixing in fronts was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00149 - Duration 2002 - 2005) and was led by DR SL Gray, University of Reading. The data consists of the rate at which frontal regions in weather systems transport polluted air from the boundary layer to the free troposphere using very high-resolution model simulations backed up by observations. These simulations were made using the Met Office operational unified model (UM) run locally at the University of Reading.\r\n\r\nThese contain 3D tracer distributions from 02UTC 09/05/05 - 02UTC \r\n10/05/05 for four separate tracers. \r\n-Field 71 is the tracer transported by advection only, \r\n-field 72 is the tracer transported by advection and mixing, \r\n-field 73 is the tracer transported by advection, mixing and convection and \r\n-field 74 is the tracer transported by advection, mixing and convection. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-01-10T15:59:54", "updateFrequency": "notPlanned", "dataLineage": "Data files provided as is by campaign participants for storage at the BADC.", "removedDataReason": "", "keywords": "Polluted Troposphere, Front, meteorology, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-14T16:42:28", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 894, "bboxName": "University of Reading", "eastBoundLongitude": -0.9456, "westBoundLongitude": -0.9456, "southBoundLatitude": 51.4419, "northBoundLatitude": 51.4419 }, "verticalExtent": null, "result_field": { "ob_id": 1344, "dataPath": "/badc/polluted-tropo/data/fronts", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 429536791, "numberOfFiles": 41, "fileFormat": "Data are PP formatted" }, "timePeriod": { "ob_id": 400, "startTime": "2005-05-08T23:00:00", "endTime": "2005-05-09T23:00:00" }, "resultQuality": { "ob_id": 329, "explanation": "UM data quality controlled by the Met Office.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 1346, "uuid": "dfd2fc26e62e45c198eda7ec87175576", "short_code": "comp", "title": "Met Office operational unified model (UM) deployed on Reading University computer", "abstract": "This computation involved: Met Office operational unified model (UM) deployed on Reading University computer." }, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 14391, "uuid": "a3bd80740fcb4a7694ff94dba6ece0c7", "short_code": "proj", "title": "Polluted Troposphere Transport and Mixing in Fronts project", "abstract": "Transport and mixing in fronts was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00149 - Duration 2002 - 2005) and was led by DR SL Gray, University of Reading.\r\n\r\nThe aim of this research was to provide improved quantitative estimates of the rate at which frontal regions in weather systems transport polluted air from the boundary layer to the free troposphere. \r\n\r\nModelling studies performed using typical mesoscale to regional-scale resolution cannot resolve certain frontal mixing processes which are clearly visible in high resolution radar observations; namely multiple shear layers and large-amplitude Kelvin-Helmholtz billows. To perform very high-resolution (of order 2 km by 90 vertical levels) model simulations of frontal cases using the new dynamics (non-hydrostatic) Met Office model. The dynamical representation of these mixing processes and the transport and mixing of passive tracers in the model were evaluated using observations. The climatological impact of these individual fronts was determined using a climatological frontal database." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2771, 50672, 50688, 52355, 52356, 52357, 52358, 52359, 52360, 52361 ], "vocabularyKeywords": [], "identifier_set": [ 988 ], "observationcollection_set": [ { "ob_id": 1342, "uuid": "61530f07d7356f5a74993645b107b5b0", "short_code": "coll", "title": "Polluted Troposphere Transport and Mixing in Fronts: High-Resolution Model Simulations of the Transport of Pollutants", "abstract": "Transport and mixing in fronts was a NERC Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00149 - Duration 2002 - 2005) and was led by DR SL Gray, University of Reading.\r\n\r\nThe aim of this research was to provide improved quantitative estimates of the rate at which frontal regions in weather systems transport polluted air from the boundary layer to the free troposphere. \r\n\r\nModelling studies performed using typical mesoscale to regional-scale resolution cannot resolve certain frontal mixing processes which are clearly visible in high resolution radar observations; namely multiple shear layers and large-amplitude Kelvin-Helmholtz billows. To perform very high-resolution (of order 2 km by 90 vertical levels) model simulations of frontal cases using the new dynamics (non-hydrostatic) Met Office model. The dynamical representation of these mixing processes and the transport and mixing of passive tracers in the model were evaluated using observations. The climatological impact of these individual fronts was determined using a climatological frontal database.\r\n\r\nThe Polluted Troposphere Programme was a 5-year NERC thematic research programme was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric." } ], "responsiblepartyinfo_set": [ 4219, 4222, 4223, 4224, 4226, 4220, 4225, 4221 ], "onlineresource_set": [ 8922 ] }, { "ob_id": 1348, "uuid": "2e829bcad8ac653ceb6eef4c6107773f", "title": "British Antarctic Survey: high resolution radiosonde data from the Halley station", "abstract": "High resolution radiosonde data from the British Antarctic Survey's Halley station. The data consists of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, radiosonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. The archive has data from 2008 and generally there is 1 ascent per day from the station.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2018-12-31T01:05:04.287452", "updateFrequency": "daily", "dataLineage": "Data are collected at the Halley and Rothera stations before being sent through to BAS, Cambridge. A script runs daily at the BADC to retrieve the latest data from BAS by checking the last 7 days. Once data have been transferred to the BADC they are ingested immediately and made available to users.\r\n\r\nRadiosonde data from Antarctic stations from the database of Connolley and King (1993) was provided by W. M. Connolley at the British Antarctic Survey, http://www.antarctica.ac.uk/met/data/wmc-radiosonde-export/, through the British Atmospheric Data Centre (BADC), http://badc.nerc.ac.uk.", "removedDataReason": "", "keywords": "BAS, Radiosonde", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-09-22T15:15:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 22, "bboxName": "", "eastBoundLongitude": -26.566667, "westBoundLongitude": -26.566667, "southBoundLatitude": -75.583333, "northBoundLatitude": -75.583333 }, "verticalExtent": null, "result_field": { "ob_id": 1349, "dataPath": "/badc/bas/data/halley", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 659435924, "numberOfFiles": 5101, "fileFormat": "The data are in the Vaisala PC-CORA binary format. Software to read these data is available from the linked documentation.\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 401, "startTime": "2001-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 330, "explanation": "No data quality statement is available", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1352, "uuid": "838b8d485a654bddbef8b2a7a93d2e49", "short_code": "acq", "title": "Acquisition Process for: British Antarctic Survey: high resolution radiosonde data from the Halley station", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Radiosonde; PLATFORMS: British Antarctic Survey's Halley station; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 27 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2603, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "bas", "label": "restricted: bas group", "licence": { "ob_id": 62, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/bas.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 1350, "uuid": "2f02e95e890a92238dfd3148acfd9fd1", "short_code": "proj", "title": "British Antarctic Survey", "abstract": "British Antarctic Survey (BAS) is a component of the Natural Environment Research Council (NERC). 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Four Twin Otter aircraft fitted with wheels and skis are operated from Rothera and Halley, while a wheels-only Dash-7 aircraft provides the inter-continental air-link from Rothera to the Falkland Islands, and flies inland to blue ice runways." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6868, 13197, 13200, 21769, 21778, 21783, 21824, 22607, 22627, 22661, 22667, 22691, 22702, 22715, 22721, 22729, 22745, 22758, 25382, 25388, 25393, 25402, 25404, 25857, 25878, 25879, 25880, 25881, 25882, 25883 ], "vocabularyKeywords": [], "identifier_set": [ 995 ], "observationcollection_set": [ { "ob_id": 1347, "uuid": "37f2bef57e28bcd780a5cbfe077f4bf8", "short_code": "coll", "title": "British Antarctic Survey: high resolution radiosonde data from Halley and Rothera stations", "abstract": "High resolution radiosonde data from the British Antarctic Survey's stations Halley and Rothera are available. The data consists of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, radiosonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. The archive has data from 2001 and generally there is 1 ascent per day from both stations." } ], "responsiblepartyinfo_set": [ 4238, 4240, 4241, 4242, 4243, 41681, 41682, 4239 ], "onlineresource_set": [ 571, 573, 6537, 6558, 6560, 6559, 572 ] }, { "ob_id": 1353, "uuid": "e6da23061b4e98565e3c668c2c393397", "title": "British Antarctic Survey: high resolution radiosonde data from the Rothera station", "abstract": "High resolution radiosonde data from the British Antarctic Survey's Rothera station. The data consists of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, radiosonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. The archive has data from 2008 and generally there is 1 ascent per day from the station.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T01:05:04", "updateFrequency": "daily", "dataLineage": "Data are collected at the Halley and Rothera stations before being sent through to BAS, Cambridge. A script runs daily at the BADC to retrieve the latest data from BAS by checking the last 7 days. Once data have been transferred to the BADC they are ingested immediately and made available to users.\r\n\r\nRadiosonde data from Antarctic stations from the database of Connolley and King (1993) was provided by W. M. Connolley at the British Antarctic Survey, http://www.antarctica.ac.uk/met/data/wmc-radiosonde-export/, through the British Atmospheric Data Centre (BADC), http://badc.nerc.ac.uk.", "removedDataReason": "", "keywords": "BAS, Radiosonde", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-08-20T18:32:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 23, "bboxName": "", "eastBoundLongitude": -68.12475, "westBoundLongitude": -68.12475, "southBoundLatitude": -67.568972, "northBoundLatitude": -67.568972 }, "verticalExtent": null, "result_field": { "ob_id": 1354, "dataPath": "/badc/bas/data/rothera", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 160068344, "numberOfFiles": 1764, "fileFormat": "The data are in the Vaisala PC-CORA binary format. 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The data consists of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, radiosonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. The archive has data from 2001 and generally there is 1 ascent per day from both stations." } ], "responsiblepartyinfo_set": [ 4247, 4249, 4250, 4251, 4252, 44228, 44229, 4248 ], "onlineresource_set": [ 578, 579, 6538, 6561, 6563, 6562, 580 ] }, { "ob_id": 1358, "uuid": "fa063965785aa4fcd82ed0db56e97c94", "title": "CORRAL: Historical meteorological recordings from the UK colonial registers and Royal Navy logbook images", "abstract": "The UK Colonial Registers and Royal Navy Logbooks (CORRAL) project uses late 18th to early 20th century archive material to enhance the global coverage of daily to sub-daily weather observations by digitising Royal Navy ship's logbooks (from ships of voyages of scientific discovery and those in the service of the Hydrographic Survey) and coastal and island records contained in UK Colonial documents. This dataset contains meteorological recordings from marine sites back to the 18th Century. \r\n\r\nThese records are held at The National Archive, Kew. The ADM section includes records of the Admiralty, Naval Forces, Royal Marines, Coastguard, and related bodies, concerning all aspects of the organisation and operation of the Royal Navy and associated naval forces, over the period 1205-1998 (more details are available in the National Archives catalogue entry).\r\n\r\nThe CORRAL project deals with the following series:\r\n\r\nADM51: Admiralty: Captains' Logs, 1669-1853\r\nADM53: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1799-1985 [Excluding Flying Squadron]\r\nADM53 -- Flying Squadron: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1869-1872\r\nADM55: Admiralty: Supplementary Logs and Journals of Ships on Exploration, 1757-1861; 1904, including logs from the voyages of James Cook.\r\n\r\nTo aid usability of this dataset an index service has been produced, linked to from this record.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T03:21:36", "updateFrequency": "notPlanned", "dataLineage": "Images have been digitised as part of the CORRAL project and made available through the BADC", "removedDataReason": "", "keywords": "CORRAL, meteorology, ships", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2023-11-28T08:01:45", "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": 1359, "dataPath": "/badc/corral/images", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1204632128805, "numberOfFiles": 366460, "fileFormat": "Images are jpeg formatted" }, "timePeriod": { "ob_id": 405, "startTime": "1771-01-01T00:01:15", "endTime": "1950-01-01T00:00:00" }, "resultQuality": { "ob_id": 332, "explanation": "Data are scanned images of the log book pages", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1364, "uuid": "4957c5ad38264c9ca69c2ad519cd1784", "short_code": "acq", "title": "Acquisition Process for: Data from Admiralty meteorological observations at Ships on exploration, 18th century onwards for the ADM55: Records of the Admiralty, Naval Forces, Royal Marines, Coastguard, and related bodies, volume ADM55 Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Admiralty meteorological observations; PLATFORMS: Ships on exploration, 18th century onwards; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 1360, "uuid": "a5329fc4cef3e05b2dd775ac6aafb9d7", "short_code": "proj", "title": "UK Colonial Registers and Royal Navy Logbooks (CORRAL) project: Meteorology Records of the Admiralty, Naval Forces, Royal Marines, Coastguard, and related bodies, volume ADM55", "abstract": "CORRAL (UK Colonial Registers and Royal Navy Logbooks) (project home page) uses late 18th to early 20th century archive material to enhance the global coverage of daily to sub-daily weather observations. These are essential for current research that requires an enhancement in the quality and quantity of past data in order to assess better the full nature of medium- to long-term climate variability and change.\r\n\r\nThe project utilises three distinct but complimentary and hitherto untapped sources: two based on Royal Navy ship’s logbooks (from ships of voyages of scientific discovery and those in the service of the Hydrographic Survey); the third being the coastal and island records contained in UK Colonial documents. The former of the three categories constitute documents of national and historical importance, with a corresponding need to make them freely available through managed websites. In all three instances, the instrumental data (mostly of air pressure and temperature) are of singular importance in representing marine conditions; this being an area that is traditionally under-represented in the climate record despite it occupying over two-thirds of the planet’s surface.\r\n\r\nThese records are held at The National Archive, Kew. The ADM section includes records of the Admiralty, Naval Forces, Royal Marines, Coastguard, and related bodies, concerning all aspects of the organisation and operation of the Royal Navy and associated naval forces, over the period 1205-1998 (more details are available in the National Archives catalogue entry).\r\n\r\nThe CORRAL project deals with the following series:\r\n\r\nADM51: Admiralty: Captains' Logs, 1669-1853\r\nADM53: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1799-1985 [Excluding Flying Squadron]\r\nADM53 -- Flying Squadron: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1869-1872\r\nADM55: Admiralty: Supplementary Logs and Journals of Ships on Exploration, 1757-1861; 1904, including logs from the voyages of James Cook.\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 1006 ], "observationcollection_set": [ { "ob_id": 1357, "uuid": "c0001a8c47724dd514e64dcaf358fc60", "short_code": "coll", "title": "CORRAL: Historical meteorological recordings from the UK colonial registers and Royal Navy logbook images", "abstract": "The UK Colonial Registers and Royal Navy Logbooks (CORRAL) project uses late 18th to early 20th century archive material to enhance the global coverage of daily to sub-daily weather observations by digitising Royal Navy ship's logbooks (from ships of voyages of scientific discovery and those in the service of the Hydrographic Survey) and coastal and island records contained in UK Colonial documents. This provides meteorological recordings from marine sites back to the 18th Century. These data are public.\r\n\r\nThese records are held at The National Archive, Kew. The ADM section includes records of the Admiralty, Naval Forces, Royal Marines, Coastguard, and related bodies, concerning all aspects of the organisation and operation of the Royal Navy and associated naval forces, over the period 1205-1998 (more details are available in the National Archives catalogue entry).\r\n\r\nThe CORRAL project deals with the following series:\r\n\r\nADM51: Admiralty: Captains' Logs, 1669-1853\r\nADM53: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1799-1985 [Excluding Flying Squadron]\r\nADM53 -- Flying Squadron: Admiralty: and Ministry of Defence, Navy Department: Ships' Logs 1869-1872\r\nADM55: Admiralty: Supplementary Logs and Journals of Ships on Exploration, 1757-1861; 1904, including logs from the voyages of James Cook.\r\n" } ], "responsiblepartyinfo_set": [ 4266, 4271, 4265, 4268, 4269, 4270, 4275, 4267, 4274, 4272 ], "onlineresource_set": [ 17183, 15394, 15396 ] }, { "ob_id": 1382, "uuid": "f938e3482107582f1aa88a3b221aaa9c", "title": "VIRTEM: Atmospheric profiles, Ozonesonde and Mircowave radiometer measurements from MPIM (Max-Planck-Institute)", "abstract": "Validation data for the IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument. IASI was a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which was scheduled for flight in 2002 on the European METOP satellite. IASI delivered vertical profiles of temperature and humidity data with a resolution of 1km. VIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI. This dataset contains Atmospheric profiles, Ozonesonde and Mircowave radiometer measurements.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2002-02-28T14:14:24", "updateFrequency": "notPlanned", "dataLineage": "Data was acquired by IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument on the European METOP satellite. Data is later passed on to the BADC where it is stored in an archive.", "removedDataReason": "", "keywords": "VIRTEM, Atmospheric profiles, Ozonesonde, Mircowave radiometer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-21T19:55:06", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 24, "bboxName": "", "eastBoundLongitude": 14.12, "westBoundLongitude": -14.0, "southBoundLatitude": -8.0, "northBoundLatitude": 52.21 }, "verticalExtent": null, "result_field": { "ob_id": 1383, "dataPath": "/badc/virtem/data/mpim", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44447818, "numberOfFiles": 19, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 410, "startTime": "1998-08-04T23:00:00", "endTime": "1998-08-11T23:00:00" }, "resultQuality": { "ob_id": 337, "explanation": "not known at this time", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1385, "uuid": "41a2e1f626aa467db3ce4adbb3ca09a3", "short_code": "acq", "title": "Acquisition Process for: Data from MPIM - Microwave radiometer at Meteorological Observatory Lindenberg, Germany for the VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: MPIM - Microwave radiometer; PLATFORMS: Meteorological Observatory Lindenberg, Germany; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 28 ], "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": 1368, "uuid": "d82f53f86e8262a8c737484ad8628e0c", "short_code": "proj", "title": "VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling", "abstract": "The new satellite instrument, IASI (Infrared Atmospheric Sounding Interferometer), is a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which is scheduled for flight in 2002 on the European METOP satellite. IASI is expected to deliver vertical profiles of temperature and humidity data with a resolution of 1km. VIRTEM is an EU project to validate the instrumentation and retrieval methods to be used on IASI." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22896, 25397 ], "vocabularyKeywords": [], "identifier_set": [ 1027, 1030, 1021, 1024, 1014, 1020 ], "observationcollection_set": [ { "ob_id": 1365, "uuid": "67a97e179d0dcee074969cb7ea87e928", "short_code": "coll", "title": "VIRTEM: Aircraft and Laboratory Based Spectroscopic Measurements", "abstract": "The new satellite instrument, IASI (Infrared Atmospheric Sounding Interferometer), is a moderate resolution (0.25 cm-1) Fourier Transform spectrometer launched in 2002 on the European METOP satellite. This instrument offers more spectral channels at a considerably higher spectral resolution than HIRS (High Resolution Infrared Sounder) - the instrument which it replaced as the operational infra-red sounder. IASI delivers vertical profiles of temperature and humidity data with a resolution of 1km compared with approximately 4km from HIRS.\r\n\r\nTranslating the improvement in the spectral resolution of the instrument into improvements in the accuracy and height resolution of the temperature, humidity and ozone profiles is dependent on a detailed knowledge of the spectroscopy of the atmosphere in this spectral region. The aim of the Validation of IASI (Infrared Atmospheric Sounding Interferometer) Radiative Transfer Experiments and Modelling (VIRTEM) project was to make the improvements to the spectroscopy necessary to make full use of the increased spectral resolution of IASI.\r\n\r\nThe primary objectives of the VIRTEM project were:\r\n\r\n*To generate a detailed set of atmospheric observations of radiances and supporting in-situ data.\r\n*To analyse and validate the current spectroscopy using state of the art line-by-line radiation models.\r\n*To generate an improved spectroscopic database.\r\n\r\nVIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI. Data in this dataset collection include both aircraft based and lab based spectroscopic measurements." } ], "responsiblepartyinfo_set": [ 4344, 4350, 4346, 4347, 4348, 4353, 4343, 4345 ], "onlineresource_set": [] }, { "ob_id": 1390, "uuid": "2f4dd3ef2a6d3f133102c5806042bf80", "title": "VIRTEM: Fourier Transform spectrometers measurements at CCLRC Rutherford Appleton Laboratory Molecular Spectroscopy Facility (MSF)", "abstract": "Validation data for the IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument. IASI was a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which was scheduled for flight in 2002 on the European METOP satellite. IASI delivered vertical profiles of temperature and humidity data with a resolution of 1km. VIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI. This file contains a summary of the measurements, pressure and temperatures.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2000-09-11T17:11:01", "updateFrequency": "notPlanned", "dataLineage": "Data was acquired by IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument on the European METOP satellite. Data is later passed on to the BADC where it is stored in an archive.", "removedDataReason": "", "keywords": "VIRTEM, Temperature, Gases, Pressure", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-21T19:56:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 24, "bboxName": "", "eastBoundLongitude": 14.12, "westBoundLongitude": -14.0, "southBoundLatitude": -8.0, "northBoundLatitude": 52.21 }, "verticalExtent": null, "result_field": { "ob_id": 1391, "dataPath": "/badc/virtem/data/ral", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 266594519, "numberOfFiles": 44, "fileFormat": "Data are NASA Ames formatted\r\n" }, "timePeriod": { "ob_id": 412, "startTime": "1999-01-20T00:00:00", "endTime": "1999-03-11T00:00:00" }, "resultQuality": { "ob_id": 339, "explanation": "not known at this time", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1392, "uuid": "7754a300329e4fed95f78c932688e127", "short_code": "acq", "title": "Acquisition Process for: Data from MSF: Fourier Transform spectrometers at CCLRC Rutherford Appleton Laboratory Molecular Spectroscopy Facility (MSF) for the VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: MSF: Fourier Transform spectrometers; PLATFORMS: CCLRC Rutherford Appleton Laboratory Molecular Spectroscopy Facility (MSF); " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 28 ], "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": 1368, "uuid": "d82f53f86e8262a8c737484ad8628e0c", "short_code": "proj", "title": "VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling", "abstract": "The new satellite instrument, IASI (Infrared Atmospheric Sounding Interferometer), is a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which is scheduled for flight in 2002 on the European METOP satellite. 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IASI delivers vertical profiles of temperature and humidity data with a resolution of 1km compared with approximately 4km from HIRS.\r\n\r\nTranslating the improvement in the spectral resolution of the instrument into improvements in the accuracy and height resolution of the temperature, humidity and ozone profiles is dependent on a detailed knowledge of the spectroscopy of the atmosphere in this spectral region. The aim of the Validation of IASI (Infrared Atmospheric Sounding Interferometer) Radiative Transfer Experiments and Modelling (VIRTEM) project was to make the improvements to the spectroscopy necessary to make full use of the increased spectral resolution of IASI.\r\n\r\nThe primary objectives of the VIRTEM project were:\r\n\r\n*To generate a detailed set of atmospheric observations of radiances and supporting in-situ data.\r\n*To analyse and validate the current spectroscopy using state of the art line-by-line radiation models.\r\n*To generate an improved spectroscopic database.\r\n\r\nVIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI. Data in this dataset collection include both aircraft based and lab based spectroscopic measurements." } ], "responsiblepartyinfo_set": [ 4370, 4372, 4373, 4374, 4379, 4378, 4369, 4371 ], "onlineresource_set": [] }, { "ob_id": 1396, "uuid": "8538100c4c22915bec39f431d68f737a", "title": "VIRTEM: C-130 Met Office aircraft in-situ instrumentation and radiosonde measurements", "abstract": "Validation data for the IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument. IASI was a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which was scheduled for flight in 2002 on the European METOP satellite. IASI delivered vertical profiles of temperature and humidity data with a resolution of 1km. VIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI.This dataset contains radiosonde, air pressure and air temperature measurements from the C-130 Met Office Hercules aircraft.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:04:53", "updateFrequency": "notPlanned", "dataLineage": "Data was acquired by IASI (Infrared Atmospheric Sounding Interferometer) satellite instrument on the European METOP satellite. Data is later passed on to the BADC where it is stored in an archive.", "removedDataReason": "", "keywords": "VIRTEM, Temperature, Pressure, Aircraft", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-21T20:00:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 24, "bboxName": "", "eastBoundLongitude": 14.12, "westBoundLongitude": -14.0, "southBoundLatitude": -8.0, "northBoundLatitude": 52.21 }, "verticalExtent": null, "result_field": { "ob_id": 1397, "dataPath": "/badc/virtem/data/ukmo", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1035896, "numberOfFiles": 25, "fileFormat": "Data are NASA Ames formatted\r\n" }, "timePeriod": { "ob_id": 414, "startTime": "1998-10-07T23:00:00", "endTime": "1999-05-05T23:00:00" }, "resultQuality": { "ob_id": 341, "explanation": "not known at this time", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13988, "uuid": "c367ae88b5e64e69b10c0be5be7de22f", "short_code": "cmppr", "title": "Composite process for: Data from MRF - C-130 aircraft in-situ Instrumentation at Met Office C-130 Hercules Aircraft for the VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling Project", "abstract": "Composite process for: Data from MRF - C-130 aircraft in-situ Instrumentation at Met Office C-130 Hercules Aircraft for the VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling Project created through merger of other records" }, "imageDetails": [ 28 ], "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": 1368, "uuid": "d82f53f86e8262a8c737484ad8628e0c", "short_code": "proj", "title": "VIRTEM Validation of IASI Radiative Transfer: Experiments and Modelling", "abstract": "The new satellite instrument, IASI (Infrared Atmospheric Sounding Interferometer), is a moderate resolution (0.25cm^-1) Fourier Transform spectrometer which is scheduled for flight in 2002 on the European METOP satellite. 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IASI delivers vertical profiles of temperature and humidity data with a resolution of 1km compared with approximately 4km from HIRS.\r\n\r\nTranslating the improvement in the spectral resolution of the instrument into improvements in the accuracy and height resolution of the temperature, humidity and ozone profiles is dependent on a detailed knowledge of the spectroscopy of the atmosphere in this spectral region. The aim of the Validation of IASI (Infrared Atmospheric Sounding Interferometer) Radiative Transfer Experiments and Modelling (VIRTEM) project was to make the improvements to the spectroscopy necessary to make full use of the increased spectral resolution of IASI.\r\n\r\nThe primary objectives of the VIRTEM project were:\r\n\r\n*To generate a detailed set of atmospheric observations of radiances and supporting in-situ data.\r\n*To analyse and validate the current spectroscopy using state of the art line-by-line radiation models.\r\n*To generate an improved spectroscopic database.\r\n\r\nVIRTEM was an EU project to validate the instrumentation and retrieval methods to be used on IASI. Data in this dataset collection include both aircraft based and lab based spectroscopic measurements." } ], "responsiblepartyinfo_set": [ 4392, 4397, 4391, 4394, 4395, 4396, 4401, 4393 ], "onlineresource_set": [] }, { "ob_id": 1413, "uuid": "a78ffa2ffb52f1c31f92b86981dab1f7", "title": "CAP: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at the Weybourne Atmospheric Observatory", "abstract": "The Coastal Air Pollution (CAP) field campaigns in 2009 and 2010 (CAP-2009 and CAP-2010 respectively) sought to investigate the impact of local meteorology on coastal air quality and the structure and evolution of the coastal boundary layer.\r\n\r\nThis dataset contains vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements which were collected at the Weybourne Atmospheric Observatory, Norfolk, between September 2009 and April 2010. These data were collected by the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Mobile Wind Profiler, owned and operated by the University of Manchester and formerly known as the aber-radar-1290mhz. The data are available at 15 minute intervals as netCDF files to all registered British Atmospheric Data Centre (BADC) users.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:04:54", "updateFrequency": "notPlanned", "dataLineage": "Data were collected by Emily Norton directly from the mobile wind profiler before checking and processing using the Degreane Horizon software supplied with the mobile wind profiler. The data were then prepared for archiving by Emily Norton using IDL scripts prepared for the task. The data were then delivered to the BADC for archiving.", "removedDataReason": "", "keywords": " CAP, Wind, meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-11-29T10:29:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 25, "bboxName": "", "eastBoundLongitude": 1.121944, "westBoundLongitude": 1.121944, "southBoundLatitude": 52.950417, "northBoundLatitude": 52.950417 }, "verticalExtent": null, "result_field": { "ob_id": 1414, "dataPath": "/badc/cap/data/man-radar-1290mhz/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 114885011, "numberOfFiles": 330, "fileFormat": "Data are netCDF formatted\r\n" }, "timePeriod": { "ob_id": 419, "startTime": "2009-09-17T23:00:00", "endTime": "2010-04-11T23:00:00" }, "resultQuality": { "ob_id": 346, "explanation": "Flight Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-04-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1418, "uuid": "3b02608c387a4e12bb2b745c4ccc30f7", "short_code": "acq", "title": "Acquisition Process for: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at the Weybourne Atmospheric Observatory in support of the Coastal Air Pollution (CAP) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Manchester Degreane 1290mhz Mobile Wind Profiler Radar - formerly aber-radar-1290mhz; PLATFORMS: Weybourne Atmospheric Observatory; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 8 ], "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": 1415, "uuid": "90b2af2013055387246c3be5095f1272", "short_code": "proj", "title": "Coastal Air Pollution (CAP)", "abstract": "The Coastal Air Pollution field campaigns in 2009 and 2010 (CAP-2009 and CAP-2010 respectively) sought to investigate the impact of local meteorology on coastal air quality and the structure and evolution of the coastal boundary layer. \r\n\r\nThe field campaigns were led by Dr. Claire Reeves (University of East Anglia) consisting of 20 hours of flight time from the Facility for Airborne Atmospheric Measurements (FAAM) BAE-146 aircraft coinciding with pollution measurements from the Weybourne Atmospheric Observatory (WAO) and the Facility for Ground based Atmospheric Measurement's (FGAM) 1290 Mhz mobile wind profiler, deployed at WAO. The 20 flight hours were over 5 flights: flight B480 21/09/09; flight B485 06/11/09; flight B492 01/12/09; flight B493 04/12/09; and, flight B514 04/03/10. The FAAM flights were made available as part of the 2009 Direct Access call for available remaining flight hours on the aircraft. \r\n\r\nThe objectives were to: \r\na) characterise the chemical composition of the air above and around WAO (Weybourne Atmospheric Observatory) in various meteorological conditions to determine how representative the observations at WAO are of the coastal region and of the air-mass origin (especially in the case of maritime/Arctic air); \r\nb) determine the local flow patterns that can be established around WAO that may influence the redistribution of pollutants and to aid future identification of such patterns with the more limited vertical data that is routinely collected at WAO; \r\nc) identify patterns that decouple polluted layers from the surface; \r\nd) characterise the off-shore pollution sources (ship emissions, emissions from off-shore gas platforms) that impact measurements at WAO under maritime conditions; and, \r\ne) provide test cases for the one-dimensional MISTRA model of vertical profiles of trace components in the boundary layer and lower free troposphere, especially providing information about vertical exchange." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2731, 22318, 52195, 52196, 52197, 52198, 52199, 52200, 52201, 52202, 52203, 52205, 52206, 52207, 52208, 52209, 52210, 52211, 52212, 55510, 83844, 83845 ], "vocabularyKeywords": [], "identifier_set": [ 1044 ], "observationcollection_set": [ { "ob_id": 1412, "uuid": "6fcb4aafad96756132bb816e19747db0", "short_code": "coll", "title": "Coastal Air Pollution (CAP): Atmospheric airborne, surface chemistry and vertical wind profile measurements", "abstract": "The Coastal Air Pollution (CAP) field campaigns in 2009 and 2010 (CAP-2009 and CAP-2010 respectively) sought to investigate the impact of local meteorology on coastal air quality and the structure and evolution of the coastal boundary layer.\r\n\r\nThis dataset consists of surface, tower and airbourne measurements of atmospheric chemistry and vertical wind profiles from the Coastal Air Pollution (CAP) field campaign, led by Dr. Claire Reeves (University of East Anglia, UEA). \r\n\r\nAirborne measurements were made by instrumentation on board the Facility for Airborne Atmospheric Measurements's (FAAM) BAE 146 aircraft, with surface and tower measurements from the Weybourne Atmospheric Observatory (WAO) and the Facility for Ground-based Atmsopheric Measurements's (FGAM) 1290Mhz mobile wind profiling radar providing vertical profiles of winds, signal to noise ratios and spectral width data. These data were used to investigate the impact of local meteorology on coastal air quality and the structure and evolution of the coastal boundary layer. \r\n\r\nThe objectives of the campaign was to: \r\na) characterise the chemical composition of the air above and around WAO in various meteorological conditions to determine how representative the WAO observations are of the coastal region and of the air-mass origin (esp. in the case of maritime/Arctic air); \r\nb) determine the local flow patterns that can be established around WAO which may influence the redistribution of pollutants and to aid future identification of such patterns with the more limited vertical data that is routinely collected at WAO; \r\nc) identify patterns that decouple polluted layers from the surface; \r\nd) characterise the off-shore pollution sources (ship emissions, emissions from off-shore gas platforms) which impact measurements at WAO under maritime conditions; and, \r\ne) provide test cases for the one-dimensional MISTRA model of vertical profiles of trace components in the boundary layer and lower free troposphere, especially providing information about vertical exchange." }, { "ob_id": 11685, "uuid": "42a2fb43b0a7415aab4aaa9ae00193f0", "short_code": "coll", "title": "Atmospheric Measurement Facility (NCAS-AMF) Data", "abstract": "This dataset collection brings together data from instruments deployed within the UK's National Centre for Atmospheric Sciences's (NCAS) Atmospheric Measurements Facility (AMF). The AMF facilitates easy access to a wide range of quality assured data products and services as well as access to specialist instrumentation for ground based and airborne observation of the atmosphere, observatories, platforms, and laboratories, operated by dedicated facility Instrument Scientists. In addition to campaign deployments covered by this collection AMF also operates a number of long-term instruments which can be found under the NCAS long term observations dataset collection. This collection also brings together data from the AMF instruments when they were operated before being part of AMF. As such some datasets will refer to the instruments' former designations." } ], "responsiblepartyinfo_set": [ 4458, 4460, 4461, 4462, 43203, 43204, 4464, 4459, 46950 ], "onlineresource_set": [] }, { "ob_id": 1424, "uuid": "52099eaf0874a317c980d0258c320df3", "title": "ISB52: Doppler Lidar measurements from RAF Northolt and Malvern, UK", "abstract": "This dataset contains Doppler lidar measurements from the ISB52 Improved Air Quality Forecasting project. The aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars supplied by Qinetic and the University of Salford. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-02-08T11:15:42", "updateFrequency": "notPlanned", "dataLineage": "Data from two identical Doppler lidars, one of which was the UFAM (Universities Facility for Atmospheric Measurement) Doppler lidar, obtained in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK, passed on to the BADC for archiving.", "removedDataReason": "", "keywords": "ISB52, lidar, atmosphere, boundary layer, air flow", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-16T23:56:02", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 919, "bboxName": "", "eastBoundLongitude": -0.417, "westBoundLongitude": -2.307, "southBoundLatitude": 51.55, "northBoundLatitude": 52.113 }, "verticalExtent": null, "result_field": { "ob_id": 1425, "dataPath": "/badc/isb52/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44429602, "numberOfFiles": 336, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 422, "startTime": "2003-07-07T23:00:00", "endTime": "2003-07-22T23:00:00" }, "resultQuality": { "ob_id": 348, "explanation": "Not known.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-27" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1429, "uuid": "979b9ba1549c417a8bfe8e97a8e3fcd7", "short_code": "acq", "title": "Improved Air Quality Forecasting (ISB52) Project", "abstract": "Improved Air Quality Forecasting (ISB52) Project" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 29 ], "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": 1426, "uuid": "88e6137adf4829c014e4a0aae7c2b6ef", "short_code": "proj", "title": "Improved Air Quality Forecasting (ISB52)", "abstract": "The Improved Air Quality Forecasting project (ISB52) was funded by the UK HM Treasury Invest to Save Budget.\r\n\r\nThe aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars, one of which was the UFAM (Universities Facility for Atmospheric Measurement) Doppler lidar. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK.\r\n\r\nProject collaborators were the University of Essex, University of Salford, the UK Met. Office and QinetiQ. A software suite (DAViS) was developed by the University of Essex to visualise the Doppler lidar data in 3-D. QinetiQ were responsible for the overall project management and the enhancement and development of their Doppler lidar system to make it compatible with the UFAM Doppler lidar system which was operated by the University of Salford. The UK Met. Office provided dispersion model parameters and AMDARS data." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 55190, 55191, 55193, 55194, 55195, 55196, 55197, 55198, 55199, 55200, 55201, 55202, 55203, 55204, 79189 ], "vocabularyKeywords": [], "identifier_set": [ 1054, 8826 ], "observationcollection_set": [ { "ob_id": 1423, "uuid": "b5f808ed6da80a2c022815dbab0d5429", "short_code": "coll", "title": "Improved Air Quality Forecasting (ISB52): LIDAR measurements and Reports", "abstract": "This dataset collection contains data from the ISB52 Improved Air Quality Forecasting project. The aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK." } ], "responsiblepartyinfo_set": [ 4503, 4502, 4505, 4506, 4507, 4518, 4517, 4504, 4511, 4508, 4509, 4514, 4510, 4516, 4512, 4513, 4515 ], "onlineresource_set": [] }, { "ob_id": 1436, "uuid": "bd969e69eaa415fbbd44180b53703d49", "title": "EASOE: CNRS Backscatter Lidar measurements on board the Fokker 27 ARAT aircraft", "abstract": "The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. This dataset contains airborne backscatter lidar measurements from Service d'Aeronomie du CNRS.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1995-09-08T17:50:13", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM content uploaded as is into BADC archive for browsing purposes.", "removedDataReason": "", "keywords": "EASOE, Gases, Aerosols, Temperature, Pressure", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-31T20:32:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 28, "bboxName": "", "eastBoundLongitude": 50.0, "westBoundLongitude": -140.0, "southBoundLatitude": 30.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 1437, "dataPath": "/badc/CDs/easoe/data/aircraft/fokker/leandre", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6212138, "numberOfFiles": 295, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 424, "startTime": "1991-12-11T00:00:00", "endTime": "1992-02-05T00:00:00" }, "resultQuality": { "ob_id": 350, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-07-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1442, "uuid": "22d6a12c4fc74df589522b5a8069f153", "short_code": "acq", "title": "Acquisition Process for: Data from CNRS: LEANDRE at Fokker 27 ARAT aircraft for the European Arctic Stratospheric Ozone Experiment (EASOE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: CNRS: LEANDRE; PLATFORMS: Fokker 27 ARAT aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 30 ], "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": 1438, "uuid": "edb4d2a9ab87cb9fa6fc193fa2b7ea3e", "short_code": "proj", "title": "European Arctic Stratospheric Ozone Experiment (EASOE)", "abstract": "An EC measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. 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The data from the campaign has been made available on CD-ROM by the Norwegian Institute for Air Research (NILU). The CDs are held at the BADC.\r\n\r\nThis two CD-ROM set contains measurements made from 16 ground stations throughout Europe, flights made by the three aircraft involved in the campaign, numerous stratospheric balloons launched from Kiruna in northern Sweden and from ozonesondes from 28 European stations. In addition data from the total ozone monitoring network are included.\r\n\r\nThe parameters measured include concentrations of ozone and the members of the chlorine and nitrogen families which are involved in the photochemical destruction of ozone, aerosol and PSC extinctions and meteorological parameters used to study transport into and out of the polar vortex.\r\n\r\nThe EASOE campaign coincided with the NASA AASE-II aircraft campaign and this dataset is also available from the BADC." } ], "responsiblepartyinfo_set": [ 4554, 4556, 4557, 4558, 4560, 4559, 4553, 4555 ], "onlineresource_set": [] }, { "ob_id": 1443, "uuid": "75ac86e88a620532346bd981d8a11155", "title": "EASOE: Max-Planck-Institut fuer Kernphysik Falcon 20 E-5 aircraft measurements", "abstract": "The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. This dataset contains measurements of HNO3, CLO, HCL, air temperature and air pressure during the Arctic winter period of 1991/1992. The experiment provides spectrally resolved molecular line profiles that allow the retrieval of vertical volume-mixing-ratio (VMR) distributions. Altitude information can be extracted from the pressure broadening of the emission feature that dominates the line shape at altitudes approximately below 60 km.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:05:25", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM content uploaded as is into BADC archive for browsing purposes.", "removedDataReason": "", "keywords": "EASOE, Gases, Aerosols, Temperature, Pressure", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-31T20:33:38", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 28, "bboxName": "", "eastBoundLongitude": 50.0, "westBoundLongitude": -140.0, "southBoundLatitude": 30.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 1444, "dataPath": "/badc/CDs/easoe/data/aircraft/falcon", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3633287, "numberOfFiles": 99, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 425, "startTime": "1991-12-10T00:00:00", "endTime": "1992-03-13T00:00:00" }, "resultQuality": { "ob_id": 351, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-07-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1448, "uuid": "e1f06eb898424dfdacd756cc67f25b9d", "short_code": "acq", "title": "Acquisition Process for: Data from Bremen: SUMAS/SMS at DLR Falcon 20 E-5 aircraft for the European Arctic Stratospheric Ozone Experiment (EASOE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Bremen: SUMAS/SMS; PLATFORMS: DLR Falcon 20 E-5 aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 30 ], "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": 1438, "uuid": "edb4d2a9ab87cb9fa6fc193fa2b7ea3e", "short_code": "proj", "title": "European Arctic Stratospheric Ozone Experiment (EASOE)", "abstract": "An EC measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. 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This dataset contains vertical column measurements of NO2 and O3.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1995-09-08T17:52:21", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM content uploaded as is into BADC archive for browsing purposes.", "removedDataReason": "", "keywords": "EASOE, Gases, Aerosols, Temperature, Pressure", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-01T19:31:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 647, "bboxName": "Lerwick ", "eastBoundLongitude": -1.183, "westBoundLongitude": -1.183, "southBoundLatitude": 60.133, "northBoundLatitude": 60.133 }, "verticalExtent": null, "result_field": { "ob_id": 1603, "dataPath": "/badc/CDs/easoe/data/groundba/uvvis/lerwick", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34192, "numberOfFiles": 6, "fileFormat": "Data are NASA Ames formatted" }, "timePeriod": { "ob_id": 462, "startTime": "1991-11-01T00:00:00", "endTime": "1992-01-03T00:00:00" }, "resultQuality": { "ob_id": 388, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-07-15" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 1606, "uuid": "74231e06cbfb4b169ea4822a914a9f95", "short_code": "acq", "title": "Acquisition Process for: Data from Aberystwyth: SAOZ at Lerwick, UK for the European Arctic Stratospheric Ozone Experiment (EASOE) Project", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Aberystwyth: SAOZ; PLATFORMS: Lerwick, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 30 ], "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": 1438, "uuid": "edb4d2a9ab87cb9fa6fc193fa2b7ea3e", "short_code": "proj", "title": "European Arctic Stratospheric Ozone Experiment (EASOE)", "abstract": "An EC measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. The data from the campaign has been made available on CD-ROM by the Norwegian Institute for Air Research (NILU)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13200, 21758, 21764, 21769, 21771, 21778, 21779, 21817, 21823, 22341, 22413, 22414, 22424, 22425, 22426, 22427, 22428, 22429, 22430, 22432, 22435, 22437, 22438, 22439, 22440, 22441, 22442, 22443, 22444, 22445, 25380, 25381, 25382, 25383, 25384, 25385, 25386, 25387, 25388, 25389, 25390, 25391, 25392, 25393, 25394, 25395, 25396, 25397, 25398, 25399, 25400 ], "vocabularyKeywords": [], "identifier_set": [ 1187 ], "observationcollection_set": [ { "ob_id": 1435, "uuid": "573d8ec65dd8ae5ee3f779946fbc2497", "short_code": "coll", "title": "European Arctic Stratospheric Ozone Experiment (EASOE): Airborne and Ground-Station Measurements of Meteorological Parameters", "abstract": "The European Arctic Stratospheric Ozone Experiment (EASOE) was undertaken in the northern winter of 1991-92 to study the processes in the Arctic which lead to ozone destruction and their connection with reduced ozone at northern mid-latitudes. The data from the campaign has been made available on CD-ROM by the Norwegian Institute for Air Research (NILU). The CDs are held at the BADC.\r\n\r\nThis two CD-ROM set contains measurements made from 16 ground stations throughout Europe, flights made by the three aircraft involved in the campaign, numerous stratospheric balloons launched from Kiruna in northern Sweden and from ozonesondes from 28 European stations. In addition data from the total ozone monitoring network are included.\r\n\r\nThe parameters measured include concentrations of ozone and the members of the chlorine and nitrogen families which are involved in the photochemical destruction of ozone, aerosol and PSC extinctions and meteorological parameters used to study transport into and out of the polar vortex.\r\n\r\nThe EASOE campaign coincided with the NASA AASE-II aircraft campaign and this dataset is also available from the BADC." } ], "responsiblepartyinfo_set": [ 4956, 4955, 4954, 4957, 4958, 4959, 4961, 4960 ], "onlineresource_set": [] } ] }