Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=1900
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=2000", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=1800", "results": [ { "ob_id": 12925, "uuid": "626505cde8c54ad2a0544d86e60ee6e5", "title": "ESA ALPHASAT: raingauge data from Vigo, Spain", "abstract": "Raingauge data collected as part of the ESA Funded Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon project (ASALASCA). The rain gauge instrument was a Young 52203 tipping bucket rain gauge.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-08-27T14:34:46", "updateFrequency": "", "dataLineage": "Data collected by project participants before preparation and delivery to CEDA for archiving.", "removedDataReason": "", "keywords": "ESA, ALPHASAT, raingauge ", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "required", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 696, "bboxName": "Vigo ALPHASAT Beacon site", "eastBoundLongitude": -8.688, "westBoundLongitude": -8.688, "southBoundLatitude": 42.17, "northBoundLatitude": 42.17 }, "verticalExtent": null, "result_field": null, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12928, "uuid": "9a8ce0e8f2c64c37afbeeabcfb1708e6", "short_code": "acq", "title": "ESA ALPHASAT: raingauge data from Vigo, Spain", "abstract": "ESA ALPHASAT: raingauge data from Vigo, Spain" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [], "permissions": [], "projects": [ { "ob_id": 12892, "uuid": "f489ff9025ef4605accd3a1f62657f74", "short_code": "proj", "title": "ASALASCA: Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon", "abstract": "ESA Funded Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon project. \r\n\r\nThis project utilised signals measured by a number of receivers located around Europe received from the Aldo Paradoni Payload (TDP5) beacon on board ESA's ALPHASAT telecommunications satellite to assess signal attenuation at 20 and 40 GHz (the KA/Q band)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12893, "uuid": "5aeeae2bd877479c9617c45c4345ff51", "short_code": "coll", "title": "ALPHASAT: KA/Q band radio propagation measurements collection from European sites using the TDP5 Propagation Beacon", "abstract": "A collection of measurements of radio propagation in the KA/Q band measured from various European sites using the Aldo Paradoni Payload (TDP5) propagation beacon.\r\n\r\nMeasurements were made at 20 and 40 GHz frequencies.\r\n\r\nThe measurements were made as part of the ESA funded ASALASCA (Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon) project. \r\n\r\nThe collection is additionally supplemented by surface meteorological measurements from the Chilbolton Observatory, Hampshire, UK for use in conjunction with the radio propagation measurements made at Chilbolton.\r\n\r\nMeasurements began in July 2016 and are presently ongoing." } ], "responsiblepartyinfo_set": [ 49469, 49468, 204914, 204915, 204916, 204917, 49467 ], "onlineresource_set": [] }, { "ob_id": 12950, "uuid": "03b24f38ea4649828a53640b43e9e90e", "title": "NAMBLEX: Measurements of NMHCs from the University of York's GC-FID1 Deployed at the Mace Head Research Facility, Ireland", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset contains the concentrations of non-methane hydrocarbons (NMHCs) measured with the University of York's Single Channel Gas Chromatograph-Flame Ionization Detector Number 1 (GC-FID1).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:13:51", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained by the Universities Facility for Atmospheric Measurements (UFAM) instruments in July-September 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, Atmospheric Chemistry, Boundary Layer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-25T10:27:37", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 508, "bboxName": "Mace Head Atmospheric Research Station", "eastBoundLongitude": -9.899444, "westBoundLongitude": -9.903889, "southBoundLatitude": 53.325833, "northBoundLatitude": 53.326111 }, "verticalExtent": null, "result_field": { "ob_id": 12951, "dataPath": "/badc/namblex/data/york-gc-fid1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 36430, "numberOfFiles": 2, "fileFormat": "Data are NASA-Ames 1001 formatted" }, "timePeriod": { "ob_id": 3518, "startTime": "2002-07-24T23:00:00", "endTime": "2002-08-17T22:59:59" }, "resultQuality": { "ob_id": 2090, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12952, "uuid": "4431f2560d9b4877b2a685623f7c60a1", "short_code": "acq", "title": "Acquisition Process for: NAMBLEX: Measurements of NMHCs from the University of York's GC-FID1 Deployed at the Mace Head Research Facility, Ireland", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: York: Gas Chromotography Flame Ionisation detector 2; PLATFORMS: Mace Head Research Facility, Ireland; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1331, 1332, 1333, 1334, 1337, 1339, 2680, 25861 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 49592, 49593, 49591, 49598, 49599, 49600, 49597, 49594, 49595, 49596 ], "onlineresource_set": [] }, { "ob_id": 12957, "uuid": "27fa98c68beb42eaae86fb04055a71a8", "title": "NAMBLEX: University of Leicester's Spectral Radiometer Integrated Flux Data from the Mace Head Atmospheric Research Facility, Ireland", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of integrated photon flux measurements from the University of Leicester's Flux Spectral Radiometer.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-10-10T14:53:57", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained by the Universities Facility for Atmospheric Measurements (UFAM) instruments in July-September 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, Atmospheric Chemistry, Boundary Layer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-25T10:26:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 508, "bboxName": "Mace Head Atmospheric Research Station", "eastBoundLongitude": -9.899444, "westBoundLongitude": -9.903889, "southBoundLatitude": 53.325833, "northBoundLatitude": 53.326111 }, "verticalExtent": null, "result_field": { "ob_id": 12966, "dataPath": "/badc/namblex/data/leic-sr-flux", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2077905, "numberOfFiles": 3, "fileFormat": "Data are NASA-Ames 1001 formatted" }, "timePeriod": { "ob_id": 3522, "startTime": "2002-07-25T23:00:00", "endTime": "2002-09-02T22:59:59" }, "resultQuality": { "ob_id": 2056, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12967, "uuid": "dd165efe570d453f9d7e97019020e5b0", "short_code": "acq", "title": "Acquisition Process for: NAMBLEX: University of Leicester's Spectral Radiometer Integrated Flux Data from the Mace Head Atmospheric Research Facility, Ireland", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Leicester: Spectral Radiometer - flux; PLATFORMS: Mace Head Research Facility, Ireland; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25849, 56883 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 49623, 49622, 49621, 49626, 49627, 49628, 49629, 49625 ], "onlineresource_set": [] }, { "ob_id": 12958, "uuid": "c229c0fa4eb0493d9bf4e3229bc4ca6f", "title": "CanCM4 model output prepared for APPOSITE control experiment", "abstract": "Atmosphere and Ocean components; Frequency: daily and monthly \r\n\r\nVariables Atmosphere daily: tas uas vas zg500\r\n\r\nVariables Atmosphere monthly: cl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs ta tauu ua va wap cli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind tas tauv uas vas zg500\r\n\r\nVariables Ocean daily: rsdssi sic sit snc snd snw tsice usi vsi\r\n\r\nVariables Ocean monthly: htovovrt mlotst msftmyz rsdssi sic sit sltovovrt snd so sos thetao tos tsice uo vo", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2021-06-14T16:40:53", "updateFrequency": "", "dataLineage": "Supplied model data ingested as is in the CEDA Archive.", "removedDataReason": "", "keywords": "APPOSITE control CanCM4 model arctic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-06T12:31:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 12959, "dataPath": "/badc/apposite/data/CanCM4/ctrl", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 28855182592, "numberOfFiles": 2883, "fileFormat": "NetCDF" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "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": 11971, "uuid": "a2f5db43a5f37651aae1a3808a7be5e8", "short_code": "proj", "title": "Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) as part of the NERC Arctic Research Programme (ARP)", "abstract": "APPOSITE is a 3-year NERC Arctic research project that aims to address fundamental questions about the extent to which the climate and state of the Arctic system is predictable on seasonal to inter-annual timescales, and about the physical processes that govern this predictability. Model data output from this project are archived at the BADC.\r\n\r\nAPPOSITE is funded until March 2016.\r\n\r\nGrant ref: NE/I029137/1" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 6255, 7795, 50418, 50419, 50420, 50424, 50425, 50427, 50429, 50431, 50475, 50496, 50498, 50549, 50552, 50554, 50555, 50557, 50559, 50561, 50566, 50568, 50569, 50570, 50579, 50583, 50586, 50587, 50588, 50589, 50590, 50591, 50595, 50596, 50598, 50599, 50600, 51206, 52741, 52746, 52747, 52753, 52755, 53107, 53109, 53110, 53111, 53112, 53137, 53138, 53142, 54228, 54338, 54339, 54415, 54416, 54692, 57953, 57955, 60438, 60506, 61066, 61071, 61363, 61364, 61365, 62525, 62736, 71572, 71615, 71768, 71964, 83026 ], "vocabularyKeywords": [], "identifier_set": [ 8494 ], "observationcollection_set": [ { "ob_id": 11700, "uuid": "d330c7873c3f4880893bdedb547bea20", "short_code": "coll", "title": "Collection of Multi-model Data from the Arctic Predictability and Prediction On Seasonal-to-Interannual Time-scales (APPOSITE) Project", "abstract": "How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer this question.\r\n\r\nThe main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable. In order to achieve this, a coordinated set of idealised initial condition predictability experiments with seven general circulation models was conducted. This was the first intercomparison project designed to quantify the predictability of Arctic climate on seasonal to interannual timescales.\r\n\r\nSeveral different coupled climate models performed simulations for APPOSITE (see Doc below for Details of simulations submitted to the APPOSITE database). Six of these models followed the same experimental protocol (see Doc below for Control Simulations details and for Ensemble Predictions). One model, CanCM4 followed a slightly different protocol.\r\n\r\nThe Model data output from the APPOSITE project are now archived at CEDA. The collection of model outputs (control and prediction) include data from:\r\n\r\n- Canadian Centre for Climate Modelling and Analysis (CanCM4)\r\n- ECHAM6-FESOM (E6F), run and developed by the Alfred Wegener Institute.\r\n- EC-Earth consortium (ec-earth_v2_3) \r\n- Geophysical Fluid Dynamics Laboratory (gfdlcm3) \r\n- Met Office (hadgem1-2) \r\n- Model for Interdisciplinary Research on Climate (MIROC5-2) \r\n- Max-Planck-Institut for Meteorologie (mpiesm)\r\n\r\nAlthough designed to address Arctic predictability, this data set could also be used to assess the predictability of other regions and modes of climate variability on these timescales, such as the El Nino Southern Oscillation.\r\n\r\nA paper describing the simulations for APPOSITE is in preparation to be submitted to the Geoscientific Model Development Journal.\r\n\r\nNote: These data do not correspond to a particular time period since the studies are all conducted in the model world. They are not predictions or attempts to simulate a particular period of time. So the dates in the files are completely arbitrary. " } ], "responsiblepartyinfo_set": [ 49634, 49641, 49636, 49637, 49639, 49640, 49635, 49638, 54814 ], "onlineresource_set": [ 6933 ] }, { "ob_id": 12968, "uuid": "b3ae3b0d11c9481bab3c9c914a6c80aa", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): SCIAMACHY CO2 Level 2 Data Product (CO2_SCI_BESD), version 02.00.08, generated with the BESD algorithm", "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the BESD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been produced with the Bremen Optimal Estimation DOAS (BESD) algorithm, a full physics algorithm which uses measurements in the O2-A absorption band to retrieve scattering information of clouds and aerosols. This is the GHG CCI baseline algorithm for deriving SCIAMACHY XCO2 data: A product has also been generated from the SCIAMACHY data using an alternative algorithm: the WFMD algorithm, the link to this product's record page being provided in the documentation section. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage in the documentation section. \r\n\r\nFor further information on the product, including details of the BESD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-06-14T11:56:08.405594", "updateFrequency": "", "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project", "removedDataReason": "", "keywords": "ESA, GHG, GREENHOUSE GASES, CCI, CO2, SCIAMACHY, BESD", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "superseded", "dataPublishedTime": null, "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": 13299, "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/SCIAMACHY/CO2_SCI_BESD/v02.00.08", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 801556731, "numberOfFiles": 3198, "fileFormat": "Data in NetCDF format" }, "timePeriod": { "ob_id": 3602, "startTime": "2002-10-01T00:00:00", "endTime": "2012-04-08T23:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 111 ], "discoveryKeywords": [], "permissions": [ { "ob_id": 2564, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 34, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13295, "uuid": "f0c66ffa30514d2daee821286a014b16", "short_code": "proj", "title": "ESA Greenhouse Gases Climate Change Initiative Project", "abstract": "The European Space Agency Greenhouse Gases Climate Change Initiative (GHG CCI) project is one of several projects of ESA's Climate Change Initiative (CCI), which will deliver various Essential Climate Variables (ECVs)\r\n\r\nCarbon dioxide (CO2) and methane (CH4) are the two most important anthropogenic greenhouse gases (GHGs) and a focus of international research activities related to a better understanding of the carbon cycle (see, for example, the Global Carbon Project (GCP)).\r\n \r\nWithin the GHG-CCI project the focus is on satellite data. Satellite observations combined with modelling can add important missing global information on regional CO2 and CH4 (surface) sources and sinks required for better climate prediction. The GHG CCI project started on the 1st September 2010." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50416, 50542, 50543, 55527, 55529, 55531, 55532, 55533, 55534, 55535 ], "vocabularyKeywords": [ { "ob_id": 10174, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/procLev/proc_level2", "resolvedTerm": "Level 2" }, { "ob_id": 10329, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/product/prod_sciam", "resolvedTerm": "SCIAMACHY" }, { "ob_id": 10173, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/ecv/cciecv_ghg", "resolvedTerm": "greenhouse gases" }, { "ob_id": 10529, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/freq/freq_sat_orb", "resolvedTerm": "satellite orbit frequency" }, { "ob_id": 10139, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/org/org61", "resolvedTerm": "University of Bremen" }, { "ob_id": 10211, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/dataType/dtype_co2", "resolvedTerm": "column-averaged dry air mole fraction of CO2" }, { "ob_id": 10257, "vocabService": "clipc_skos_vocab", "uri": "http://vocab-test.ceda.ac.uk/collection/cci/sensor/sens_sciamachy", "resolvedTerm": "SCIAMACHY" } ], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12808, "uuid": "0508f3dd991144aa80346007a415fb07", "short_code": "coll", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci) dataset collection", "abstract": "The Greenhouse Gases Climate Change Initiative (GHG_cci) data products are near-surface-sensitive dry-air column-averaged mole fractions (mixing ratios) of methane (CH4) and carbon dioxide (CO2), created as part of the European Space Agency's (ESA) Greenhouses Gases Essential Climate Variable (ECV) CCI project. Denoted XCO2 (in ppmv) and XCH4 (in ppbv), the products have been retrieved from the SCIAMACHY instrument on ENVISAT and TANSO-FTS onboard GOSAT, using ECV Core Algorithms (ECAs). Other satellite instruments such as IASI, MIPAS and ACE-FTS have also been used to provide constraints for upper layers, with their corresponding retrieval algorithms referred to as Additional Constraints Algorithms (ACAs). The GHG data products are typically updated annually, the corresponding datasets being called Climate Research Data Packages (CRDP). \r\n\r\nThe products have each been generated from individual sensors, a single merged product not having yet been created \"combining\" the products from different sensors to cover the entire available satellite time series. One merged product has however been generated using the EMMA algorithm, covering a limited time period. This EMMA product is mainly used as a comparison tool for products generated using individual algorithms, making up the collection of products used by EMMA. \r\n\r\nTypically the same product (e.g. XCO2 from GOSAT) has been generated using different retrieval algorithms. A baseline algorithm has been used to generate one recommended baseline product, for users unsure which product to choose. Other products are called alternative products. However an alternative product's quality may equal that of the corresponding baseline product. It typically depends upon the application for which a product is required, which product is best to use as methods involved in producing them typically have varying strength and weaknesses. \r\n\r\nFor further information on the products, such as details on the SCIAMACHY and TANSO instruments, the algorithms used to generate the data and the data's format, please see the Product Specification Document (PSD) in the documentation section." } ], "responsiblepartyinfo_set": [ 49682, 49681, 49679, 49680, 140688, 140689, 140691, 140690 ], "onlineresource_set": [ 6829, 6825, 6826, 6827, 6830, 6831, 6832, 6833, 6828, 42064 ] }, { "ob_id": 12974, "uuid": "e9c9e975601f4ba4ac1756a3c112a8d1", "title": "Weybourne Atmospheric Observatory: Longterm Methane measurements", "abstract": "Longterm Methane(CH4) measurements at the Weybourne Atmospheric Observatory (WAO) using Clarus 500 Greenhouse Gas GC (Perkin Elmer) instrument operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The atmospheric methane measurements are every 10 minutes. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-05-13T15:23:49.734367", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the station manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, Methane, WAO", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2013-03-06T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13200, "dataPath": "/badc/weybourne/data/ch4", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 83838334, "numberOfFiles": 78, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 3592, "startTime": "2013-03-03T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. Future revision of the data should contain quality flags", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12978, "uuid": "10a2909fdf04449586d9a5723c4d32cd", "short_code": "acq", "title": "Acquisition Process for: Weybourne atmospheric methane data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The atmospheric methane are measured every 10 minutes. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 6645, 6646, 7424, 7431, 7439, 7440, 7459, 11901, 11902, 11903, 11917, 11930, 11932, 11935, 11936, 11937, 11938, 11939, 11940, 11941, 22987, 23015, 23016, 23020, 23024, 23037, 23038, 25026, 26114 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." }, { "ob_id": 24762, "uuid": "d309a5ab60b04b6c82eca6d006350ae6", "short_code": "coll", "title": "MOYA: ground station and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "This dataset collection contains ground observations and in-situ airborne observations by the FAAM BAE-146 aircraft for Methane Observations and Yearly Assessments: MOYA.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." } ], "responsiblepartyinfo_set": [ 49711, 49710, 49709, 49713, 49714, 49715, 49716, 49712 ], "onlineresource_set": [ 6847, 7263 ] }, { "ob_id": 12976, "uuid": "85556df6728e4cc1bfed0af6389dfab2", "title": "Weybourne Atmospheric Observatory: Longterm Carbon Monoxide and Molecular Hydrogen measurements", "abstract": "Longterm Carbon Monoxide and Molecular Hydrogen measurements at the Weybourne Atmospheric Observatory (WAO) using a Reduction Gas Analyser operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The atmospheric carbon monoxide and molecular hydrogen are measured every 6 minutes. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-05-13T15:23:39.466206", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the instrument manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, WAO, CO , H2, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2008-03-06T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13199, "dataPath": "/badc/weybourne/data/co-and-h2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 319058627, "numberOfFiles": 96, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 3525, "startTime": "2008-03-06T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. Future revision of the data should contain quality flags", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 12979, "uuid": "17b534aad6a44d669b3ea2fb8b9a0952", "short_code": "acq", "title": "Acquisition Process for: Weybourne atmospheric carbon monoxide and molecular hydrogen data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The atmospheric carbon monoxide and molecular hydrogen are measured every 6 minutes. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50512, 53936, 53937, 53938, 53939, 53940, 53941, 53942, 53943, 53944, 53947, 55551, 55552, 55553, 55554 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." } ], "responsiblepartyinfo_set": [ 49718, 49719, 49721, 49722, 49723, 49717, 49724, 49720 ], "onlineresource_set": [ 6848, 7260 ] }, { "ob_id": 12983, "uuid": "4425b0c4e5b346008cd4b1a09b5b96e3", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) inversion - Version 1.0", "abstract": "As output from the BBDR (Braodband Directional Reflectance) to BRDF processing chain, a BRDF product is generated. This product contains all BRDF model parameters as derived from the Globalbedo inversion algorithm. \r\n\r\nSpectral BRDF, is the fundamental description of surface reflectance, being the ratio of reflected spectral radiance (Wm-2sr-1nm-1) exiting around a direction vector Ω (relative to a surface normal vector) to the spectral irradiance (Wm-2nm-1) incident on the surface from direction Ω at some wavelength λ.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2015-09-22T09:41:35", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the GlobAlbedo project participants and are archived by CEDA", "removedDataReason": "", "keywords": "ESA, GlobAlbedo, Albedo", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1km", "status": "completed", "dataPublishedTime": null, "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": 12982, "dataPath": "/neodc/globalbedo_broadband_brdf/data/inversion", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 31980935884065, "numberOfFiles": 297636, "fileFormat": "The data are netCDF formatted, and are compressed in gzip format" }, "timePeriod": { "ob_id": 8686, "startTime": "1998-01-01T00:00:00", "endTime": "2011-12-27T23:59:59" }, "resultQuality": { "ob_id": 3033, "explanation": "quality for globalbedo_broadband_brdf", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2015-09-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 40617, "uuid": "18fcd3f95d484bf9b41ff85cacaa0742", "short_code": "cmppr", "title": "GlobAlbedo processing chain", "abstract": "This section provides a brief overview of the GlobAlbedo processing chain. More details on the design for the processing system architecture, system context/environment, and a summary of the operations concept can be found in the product user guide and ATBD." }, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2611, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 69, "licenceURL": "http://www.globalbedo.org/copyright.php", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 12987, "uuid": "b96e61205a9e4f3aa30e334073c39a10", "short_code": "proj", "title": "ESA-DUE GlobAlbedo", "abstract": "The GlobAlbedo project was funded by the Data User Element of ESA's Earth Observation Envelope Programme. \r\n\r\nLand surface albedo determines the amount of solar radiation absorbed by the Earth's surface, and due to the heterogeneity of land cover, is one of the major uncertainties in modelling the surface energy budget. Satellite observations are the only practical means to measure albedo globally, and to help reduce these uncertainties.\r\n\r\nA land surface broadband albedo map of the entire Earth’s land surface, including snow, was required for use in Global Climate Model initialisation and verification as well as in hydrological modelling of Soil-Vegetation Transfer Schemes (SVATS). \r\n \r\nTo achieve the aim of deriving independent estimates using European only assets, GlobAlbedo set out to create a 14 year time series by employing SPOT4-VEGETATION, SPOT5-VEGETATION2 as well as ENVISAT-MERIS. Legacy algorithms for deriving spectral Bi-directional Reflectance Factors (BRFs) using an optimal estimation approach as well as the use of a prior estimation dataset called a “prior” derived using a novel system for gap-filling using ten year mean estimates derived from the US MODIS sensor. Each and every output pixel albedo (DHR, BHR) value has an estimated uncertainty associated with it and the corresponding BRDF has a full variance-covariance matrix for each and every pixel. \r\n\r\nThe land surface albedos have been generated at 1km (in MODIS SIN tiles), 0.05 º and 0.5º grid resolution in Plate Carree every 8-days. \r\n\r\nFurther information as well as full or subsetted data downloads can be found at the website linked below." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12986, "uuid": "65e424f8d8c845a4b60ef6808d179313", "short_code": "coll", "title": "ESA-DUE GlobAlbedo Broadband Bi-directional Reflectance Distribution Functions (BRDF)", "abstract": "\r\n\r\nSpectral BRDF, is the fundamental description of surface reflectance, being the ratio of reflected spectral radiance (Wm-2sr-1nm-1) exiting around a direction vector Ω (relative to a surface normal vector) to the spectral irradiance (Wm-2nm-1) incident on the surface from direction Ω at some wavelength λ." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 51442, 50783, 104804, 104820, 104982, 105023, 105213, 104793, 51450, 197613, 51451, 51452, 51453, 51454, 51455, 51456, 51443, 51444, 51445, 51446, 51447, 51448, 51449 ], "onlineresource_set": [ 7812, 7811, 84139 ] }, { "ob_id": 12984, "uuid": "6a81b77693c847929e0d31a6ce84a821", "title": "ESA GlobAlbedo Broadband BRDF (Bi-directional Reflectance Distribution Functions) merge - Version 1.0", "abstract": "ESA GlobAlbedo Broadband BRDF\r\n\r\n3.2.6 Merged BRDF Product\r\nAs output from the BBDR (Broadband Directional Reflectance) to BRDF processing chain, a final ‘merged’ BRDF product is generated. This product merges the two BRDF products for Snow/NoSnow pixels as described above into one product. The merged product serves as input for the final albedo retrieval as well as for the resampling and the mosaicking of the tile-based BRDF uncertainties into a global product.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2015-09-08T08:58:17", "updateFrequency": "", "dataLineage": "Data were produced by the GlobAlbedo project participants and are archived by CEDA", "removedDataReason": "", "keywords": "ESA, GlobAlbedo, Albedo,", "publicationState": "preview", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "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": 12985, "dataPath": "/neodc/globalbedo_broadband_brdf/data/merge", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23720365669546, "numberOfFiles": 208467, "fileFormat": "The data are netCDF formatted and are compressed in gzip format" }, "timePeriod": { "ob_id": 10905, "startTime": "1998-01-01T00:00:00", "endTime": "2011-12-31T23:59:59" }, "resultQuality": { "ob_id": 3033, "explanation": "quality for globalbedo_broadband_brdf", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2015-09-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 39316, "uuid": "625429e135cb44b492d834fd83da1d3b", "short_code": "cmppr", "title": "Composite process for Globalbedo BRDF product", "abstract": "Composite process for creating Globalbedo BRDF product using satellite observations and processing algorithm." }, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2611, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 69, "licenceURL": "http://www.globalbedo.org/copyright.php", "licenceClassifications": [] } } ], "projects": [ { "ob_id": 12987, "uuid": "b96e61205a9e4f3aa30e334073c39a10", "short_code": "proj", "title": "ESA-DUE GlobAlbedo", "abstract": "The GlobAlbedo project was funded by the Data User Element of ESA's Earth Observation Envelope Programme. \r\n\r\nLand surface albedo determines the amount of solar radiation absorbed by the Earth's surface, and due to the heterogeneity of land cover, is one of the major uncertainties in modelling the surface energy budget. Satellite observations are the only practical means to measure albedo globally, and to help reduce these uncertainties.\r\n\r\nA land surface broadband albedo map of the entire Earth’s land surface, including snow, was required for use in Global Climate Model initialisation and verification as well as in hydrological modelling of Soil-Vegetation Transfer Schemes (SVATS). \r\n \r\nTo achieve the aim of deriving independent estimates using European only assets, GlobAlbedo set out to create a 14 year time series by employing SPOT4-VEGETATION, SPOT5-VEGETATION2 as well as ENVISAT-MERIS. Legacy algorithms for deriving spectral Bi-directional Reflectance Factors (BRFs) using an optimal estimation approach as well as the use of a prior estimation dataset called a “prior” derived using a novel system for gap-filling using ten year mean estimates derived from the US MODIS sensor. Each and every output pixel albedo (DHR, BHR) value has an estimated uncertainty associated with it and the corresponding BRDF has a full variance-covariance matrix for each and every pixel. \r\n\r\nThe land surface albedos have been generated at 1km (in MODIS SIN tiles), 0.05 º and 0.5º grid resolution in Plate Carree every 8-days. \r\n\r\nFurther information as well as full or subsetted data downloads can be found at the website linked below." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 12986, "uuid": "65e424f8d8c845a4b60ef6808d179313", "short_code": "coll", "title": "ESA-DUE GlobAlbedo Broadband Bi-directional Reflectance Distribution Functions (BRDF)", "abstract": "\r\n\r\nSpectral BRDF, is the fundamental description of surface reflectance, being the ratio of reflected spectral radiance (Wm-2sr-1nm-1) exiting around a direction vector Ω (relative to a surface normal vector) to the spectral irradiance (Wm-2nm-1) incident on the surface from direction Ω at some wavelength λ." }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 51419, 50782, 104805, 104821, 104983, 105024, 105214, 104794, 51420, 51421, 51422, 51423, 51424, 51425, 51426, 51427, 51428, 51429, 51430, 51431, 51432, 51433 ], "onlineresource_set": [ 7813, 7814, 82336 ] }, { "ob_id": 12993, "uuid": "f603fc6a3b2242e09822540a61a99ec6", "title": "Met Office Albemarle High Resolution Radiosonde Data", "abstract": "Met Office high resolution (2 second) radiosonde data from the Albemarle, Northumbria, from 2002 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T02:00:23", "updateFrequency": "asNeeded", "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.\r\n\r\nThe archive has around 10 stations with data from the 1990's, generally with either 2 or 4 ascents per day from each station until around 2020 where routine observations decrease to 1 a day from 6 main sites with additional ascents as required.\r\n\r\nAdditionally, data from Aberporth, obtained to support observations at the MST Radar, Aberystwyth, are also available from April 1990 - April 2000 with at least one ascent a day and then as required operationally thereafter.\r\n\r\nFor details of sites see station record details linked to each dataset within this collection." } ], "responsiblepartyinfo_set": [ 49757, 49758, 49756, 49760, 49761, 49762, 49763, 49759 ], "onlineresource_set": [ 6854, 6852, 6853 ] }, { "ob_id": 12994, "uuid": "a36d152bcf8d4523af0992a0a7c073a5", "title": "Met Office Aughton High Resolution Radiosonde Data", "abstract": "Met Office high resolution (2 second) radiosonde data from the Aughton station near Liverpool, UK, from 1990 to 1996. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2025-07-18T01:56:43", "updateFrequency": "notPlanned", "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.\r\n\r\nThe archive has around 10 stations with data from the 1990's, generally with either 2 or 4 ascents per day from each station until around 2020 where routine observations decrease to 1 a day from 6 main sites with additional ascents as required.\r\n\r\nAdditionally, data from Aberporth, obtained to support observations at the MST Radar, Aberystwyth, are also available from April 1990 - April 2000 with at least one ascent a day and then as required operationally thereafter.\r\n\r\nFor details of sites see station record details linked to each dataset within this collection." } ], "responsiblepartyinfo_set": [ 49765, 49766, 49764, 49769, 49770, 49771, 49768, 49767 ], "onlineresource_set": [ 6857, 6855, 6856 ] }, { "ob_id": 12995, "uuid": "cf2af181da1a418cba3c808b4211ffe0", "title": "Met Office Beaufort Park High Resolution Radiosonde Data", "abstract": "Met Office high resolution (2 second) radiosonde data from the Beaufort Park airfield, Bracknell from 1999. 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The ability to accurately estimate tropospheric delay in kinematic GNSS positioning has implications for improved height accuracy due to the mitigation of a major GNSS error source, and for the collection of atmospheric water vapour data for meteorology and climate studies. The potential for extending current kinematic GNSS positioning estimates of tropospheric delay from sea level based studies to airborne experiments, and the achievable height accuracy from a range of tropospheric mitigation strategies used in airborne GNSS positioning, were explored. \r\n\r\nAn experiment was established at the Snowdon Mountain Railway (SMR), utilising the railway to collect a repeatable kinematic dataset, profiling 950 m of the lower atmosphere over a 50 day period during 2011. GNSS stations on stable platforms and meteorological sensors were installed at the extremities of the trajectory, allowing reference tropospheric delays and coordinates to be established. The retrieval of zenith wet delay (ZWD) from kinematic GNSS solutions using tropospheric estimation strategies was validated against an interpolated reference ZWD between GNSS stations on stable platforms.\r\n\r\nThe interested scientist can read about the project / data set in S.R. Webb (2015) \"Kinematic GNSS tropospheric estimation and mitigation over a range of altitudes\", PhD thesis, Newcastle University, February 2015." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 8508 ], "observationcollection_set": [ { "ob_id": 13060, "uuid": "38fd6c7841d84a6686ca663fcdd61a3f", "short_code": "coll", "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): Repeatable Kinematic Dataset Collection from Snowdonia", "abstract": "This dataset collection holds a repeatable kinematic dataset taken from Global Navigation Satellite Systems (GNSS) stations on moving platforms at the Snowdon Mountain Railway (SMR). The datasets include profiles of 950m of the lower atmosphere over a 50 day period in 2011. \r\n\r\nThere are three different locations used in the dataset as it was mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain, with two static reference stations at the base of the railway at Llanberis (SNLB) and at the summit (SNSU). \r\n\r\nThree instruments were used to collect the data including; Paroscientific 745, Paroscientific Met 4 and Leica GS10 GNSS receivers. Respectively measuring pressure, pressure/temperature, dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements. " } ], "responsiblepartyinfo_set": [ 50138, 50134, 50135, 50166, 50167, 50169, 50136, 50168, 50139, 50137 ], "onlineresource_set": [ 6949, 6950 ] }, { "ob_id": 13065, "uuid": "67b7a894ddee4b4b93daa65f9a4e9030", "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): surface meteorological and GPS data from the summit of the railway at Snowdon, North Wales", "abstract": "This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from instruments at a static reference station at the summit (SNSU) of Snowdon Mountain Railway. \r\n\r\nThe data were collected from 28th August 2011 to 16th October 2011 (50 days). \r\n\r\nTwo instruments collected data from the summit including; Paroscientific Met 4 (ncl-met-4) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-met-4 sensor recorded pressure and temperature. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-09-21T14:00:34", "updateFrequency": "notPlanned", "dataLineage": "Data received from project team at University of Newcastle.", "removedDataReason": "", "keywords": "snowdon-snsu", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-23T09:03:49", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 733, "bboxName": "Snowdon Mountain Railway", "eastBoundLongitude": -4.1, "westBoundLongitude": -4.1, "southBoundLatitude": 53.1, "northBoundLatitude": 53.1 }, "verticalExtent": null, "result_field": { "ob_id": 13109, "dataPath": "/badc/snowdon-gnss/data/snowdon-snsu", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1706738044, "numberOfFiles": 101, "fileFormat": "Files are in RINEX format. See documents for more information." }, "timePeriod": { "ob_id": 3547, "startTime": "2011-08-27T23:00:00", "endTime": "2011-10-15T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13091, "uuid": "6b9ed0f4d7a44991b658a41504ec73ca", "short_code": "acq", "title": "Snowdon Mountain Railway GNSS data acquisition (SNSU)", "abstract": "This data was generated by instruments mounted on a train at Snowdon Mountain Railway, there were also instruments at a stationary reference location at the base/summit. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 13057, "uuid": "91a7da54e65b4dce844948a30a3aa297", "short_code": "proj", "title": "Kinematic Global Navigation Satellite Systems (GNSS) tropospheric estimation and mitigation over a range of altitudes on Snowdon Mountain Railway", "abstract": "This project was a NERC-funded PhD studentship led by Nigel Penna (University of Newcastle).\r\n\r\nIt investigates the potential for estimating tropospheric delay from Global Navigation Satellite Systems (GNSS) stations on moving platforms experiencing a change in altitude. The ability to accurately estimate tropospheric delay in kinematic GNSS positioning has implications for improved height accuracy due to the mitigation of a major GNSS error source, and for the collection of atmospheric water vapour data for meteorology and climate studies. The potential for extending current kinematic GNSS positioning estimates of tropospheric delay from sea level based studies to airborne experiments, and the achievable height accuracy from a range of tropospheric mitigation strategies used in airborne GNSS positioning, were explored. \r\n\r\nAn experiment was established at the Snowdon Mountain Railway (SMR), utilising the railway to collect a repeatable kinematic dataset, profiling 950 m of the lower atmosphere over a 50 day period during 2011. GNSS stations on stable platforms and meteorological sensors were installed at the extremities of the trajectory, allowing reference tropospheric delays and coordinates to be established. The retrieval of zenith wet delay (ZWD) from kinematic GNSS solutions using tropospheric estimation strategies was validated against an interpolated reference ZWD between GNSS stations on stable platforms.\r\n\r\nThe interested scientist can read about the project / data set in S.R. Webb (2015) \"Kinematic GNSS tropospheric estimation and mitigation over a range of altitudes\", PhD thesis, Newcastle University, February 2015." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 8509 ], "observationcollection_set": [ { "ob_id": 13060, "uuid": "38fd6c7841d84a6686ca663fcdd61a3f", "short_code": "coll", "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): Repeatable Kinematic Dataset Collection from Snowdonia", "abstract": "This dataset collection holds a repeatable kinematic dataset taken from Global Navigation Satellite Systems (GNSS) stations on moving platforms at the Snowdon Mountain Railway (SMR). The datasets include profiles of 950m of the lower atmosphere over a 50 day period in 2011. \r\n\r\nThere are three different locations used in the dataset as it was mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain, with two static reference stations at the base of the railway at Llanberis (SNLB) and at the summit (SNSU). \r\n\r\nThree instruments were used to collect the data including; Paroscientific 745, Paroscientific Met 4 and Leica GS10 GNSS receivers. Respectively measuring pressure, pressure/temperature, dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements. " } ], "responsiblepartyinfo_set": [ 50157, 50154, 50153, 50174, 50175, 50152, 50177, 50176, 50158, 50156 ], "onlineresource_set": [ 6951, 6952 ] }, { "ob_id": 13066, "uuid": "b4b1918baf664d6da3e9507f0c57a28e", "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): surface meteorological and GPS data from a moving train on Snowdon, North Wales", "abstract": "This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from instruments mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain. \r\n\r\nThe data were collected from 28th August 2011 to 16th October 2011 (50 days). \r\n\r\nTwo instruments collected data from the summit including; Paroscientific 745 (ncl-paro-745) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-paro-745 sensor recorded pressure data. \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-09-21T14:47:53", "updateFrequency": "notPlanned", "dataLineage": "Data received from project team at University of Newcastle.", "removedDataReason": "", "keywords": "snowdon-sntr", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-23T09:02:23", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 733, "bboxName": "Snowdon Mountain Railway", "eastBoundLongitude": -4.1, "westBoundLongitude": -4.1, "southBoundLatitude": 53.1, "northBoundLatitude": 53.1 }, "verticalExtent": null, "result_field": { "ob_id": 13108, "dataPath": "/badc/snowdon-gnss/data/snowdon-sntr", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 736188996, "numberOfFiles": 91, "fileFormat": "Files are in RINEX format. See documents for more information. " }, "timePeriod": { "ob_id": 3547, "startTime": "2011-08-27T23:00:00", "endTime": "2011-10-15T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13076, "uuid": "5ab2441e12fc41fc90ff06d37d1e3aca", "short_code": "acq", "title": "Snowdon Mountain Railway GNSS data acquisition (SNTR)", "abstract": "This data was generated by instruments mounted on a train at Snowdon Mountain Railway, there were also instruments at a stationary reference location at the base/summit. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "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": 13057, "uuid": "91a7da54e65b4dce844948a30a3aa297", "short_code": "proj", "title": "Kinematic Global Navigation Satellite Systems (GNSS) tropospheric estimation and mitigation over a range of altitudes on Snowdon Mountain Railway", "abstract": "This project was a NERC-funded PhD studentship led by Nigel Penna (University of Newcastle).\r\n\r\nIt investigates the potential for estimating tropospheric delay from Global Navigation Satellite Systems (GNSS) stations on moving platforms experiencing a change in altitude. The ability to accurately estimate tropospheric delay in kinematic GNSS positioning has implications for improved height accuracy due to the mitigation of a major GNSS error source, and for the collection of atmospheric water vapour data for meteorology and climate studies. The potential for extending current kinematic GNSS positioning estimates of tropospheric delay from sea level based studies to airborne experiments, and the achievable height accuracy from a range of tropospheric mitigation strategies used in airborne GNSS positioning, were explored. \r\n\r\nAn experiment was established at the Snowdon Mountain Railway (SMR), utilising the railway to collect a repeatable kinematic dataset, profiling 950 m of the lower atmosphere over a 50 day period during 2011. GNSS stations on stable platforms and meteorological sensors were installed at the extremities of the trajectory, allowing reference tropospheric delays and coordinates to be established. The retrieval of zenith wet delay (ZWD) from kinematic GNSS solutions using tropospheric estimation strategies was validated against an interpolated reference ZWD between GNSS stations on stable platforms.\r\n\r\nThe interested scientist can read about the project / data set in S.R. Webb (2015) \"Kinematic GNSS tropospheric estimation and mitigation over a range of altitudes\", PhD thesis, Newcastle University, February 2015." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 13060, "uuid": "38fd6c7841d84a6686ca663fcdd61a3f", "short_code": "coll", "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): Repeatable Kinematic Dataset Collection from Snowdonia", "abstract": "This dataset collection holds a repeatable kinematic dataset taken from Global Navigation Satellite Systems (GNSS) stations on moving platforms at the Snowdon Mountain Railway (SMR). The datasets include profiles of 950m of the lower atmosphere over a 50 day period in 2011. \r\n\r\nThere are three different locations used in the dataset as it was mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain, with two static reference stations at the base of the railway at Llanberis (SNLB) and at the summit (SNSU). \r\n\r\nThree instruments were used to collect the data including; Paroscientific 745, Paroscientific Met 4 and Leica GS10 GNSS receivers. Respectively measuring pressure, pressure/temperature, dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements. " } ], "responsiblepartyinfo_set": [ 50150, 50162, 50165, 50080, 50077, 50078, 50163, 50164, 50081, 50079 ], "onlineresource_set": [ 6947, 6948 ] }, { "ob_id": 13093, "uuid": "ba055025cbaa430f988a2ca62320a774", "title": "ACCACIA: SHIP Aerodyne Sulphate Aerosol Mass Spectrometer recordings", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models.\r\n\r\nThis dataset contains sulphate and organic measurements from instruments onboard RRS James Clark Ross ship cruise identifier JR20130713 (JR288).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-28T14:09:02", "updateFrequency": "notPlanned", "dataLineage": "Data provided by the University of Manchester (instrument operator).", "removedDataReason": "", "keywords": "ACCACIA, SHIP, spectrometer, arctic", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-17T17:15:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 680, "bboxName": "ACCACIA", "eastBoundLongitude": 23.0, "westBoundLongitude": -23.0, "southBoundLatitude": 70.0, "northBoundLatitude": 82.0 }, "verticalExtent": null, "result_field": { "ob_id": 13973, "dataPath": "/badc/accacia/data/shipdata", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 24751105, "numberOfFiles": 6, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 3890, "startTime": "2013-07-12T00:00:00", "endTime": "2013-08-16T23:59:59" }, "resultQuality": { "ob_id": 2105, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14780, "uuid": "483f3eab124c450bb62ab08e4d3290a6", "short_code": "acq", "title": "ACCACIA: SHIP Aerodyne Aerosol Mass Spectrometer recordings", "abstract": "ACCACIA: SHIP Aerodyne Aerosol Mass Spectrometer recordings" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 142 ], "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": 12286, "uuid": "e0e2261d155848fab84b1169aeb2be80", "short_code": "proj", "title": "Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA)", "abstract": "ACCACIA was a £3M NERC-funded consortium project in collaboration with the Universities of Manchester, York, and East Anglia, and the British Antarctic Survey, along with the Met Office and project partners in the US and Europe. ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 24547, 24548, 24549, 24550, 24551, 24552, 24553, 24554, 24555, 24556, 24557, 24558, 24559 ], "vocabularyKeywords": [], "identifier_set": [ 8513 ], "observationcollection_set": [ { "ob_id": 7773, "uuid": "c59f184de7a408212ee926a9ee6bf66e", "short_code": "coll", "title": "Aerosol-Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) Measurement Campaign", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1).\r\n\r\nThis dataset collection contains atmospheric measurements from Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft, the British Antarctic Survey (BAS) Masin aircraft and from RRS James Clark Ross ship. This dataset collection also contains data from specially configured Met Office Unified Model runs. Data from corresponding ship measurements are also available.\r\n\r\nThe climate of the Arctic is changing faster than that almost anywhere else on Earth, warming at a rate of twice the global average. This warming is accompanied by a rapid melting of the sea ice and a thinning of the ice that remains from year to year. The strong warming in the Arctic is due to several positive feedback processes, including a sea-ice albedo feedback (warmer conditions melt ice, lowering the average reflectivity of the mixed ice/ocean surface and thus absorbing more solar radiation, leading to increased ice melt and further lowering of the albedo) and several cloud feedbacks. There is a large uncertainty in models of the Arctic climate primarily because of the poor representation of physical processes within the models - particularly the representation of Arctic clouds, and due to some unique and particularly challenging conditions. \r\n\r\nA better understanding of cloud and aerosol processes in the Arctic is critical to understanding the polar atmosphere and developing more realistic climate models. \r\n\r\nTo address this issue the ACCACIA project embarked on an intensive measurement campaign in the Svalbard archipelago near the margin of permanent Arctic sea ice cover resulting in a comprehensive dataset comprising of airborne in situ measurements of cloud microphysical properties, the vertical structure of the boundary layer and aerosol properties, and the fluxes of solar and infra red radiation above, below, and within cloud.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 50089, 50087, 50091, 50092, 50093, 50094, 57382, 50090, 57381, 50088 ], "onlineresource_set": [ 9372, 9373 ] }, { "ob_id": 13094, "uuid": "76bbadb3aa4843c4bcdc32039149b0aa", "title": "ISLSCP - I, Volume 1: Snow, Ice, and Oceans data", "abstract": "This CD-ROM set contains the volume 1 Snow, Ice, and Oceans data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n*Global snow depth \r\n*Sea surface temperature \r\n*Weekly Northern Hemisphere snow cover \r\n*NMC/ECMWF Reanalysis sea ice \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:07:24", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. CEDA-BADC acquired a copy of the CD-ROM and later uploaded its content into the BADC archive for online browsing.", "removedDataReason": "", "keywords": "ISLSCP, NASA, Snow, Ice, Oceans ", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-14T09:20:23", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13097, "dataPath": "/badc/CDs/islscp/islscp_v1/data/sn_icsst", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39009866, "numberOfFiles": 178, "fileFormat": "Data are plain ASCII formatted" }, "timePeriod": { "ob_id": 1154, "startTime": "1987-01-01T00:00:00", "endTime": "1988-12-31T00:00:00" }, "resultQuality": { "ob_id": 1018, "explanation": "As per documentation provided including Dataset Status page.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13206, "uuid": "3c9bcd84c501439eaaa252548a2c47c4", "short_code": "cmppr", "title": "Composite Process for: Part of the ISLSCP Volume 1 Snow, Ice, and Oceans", "abstract": "Composite Process for: Part of the ISLSCP Volume 1 Snow, Ice, and Oceans " }, "imageDetails": [ 63 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4041, "uuid": "556faad7432d9a73a591a02636f7b7b9", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project (ISLSCP) - Initiative I", "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies.\r\n\r\nIn June of 1992, an interdisciplindary Earth Science workshop was convened in Columbia, Maryland, to assess recent progress in land-atmosphere research, specifically in the areas of models, satellite data algorithms, and field experiments. At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. The data sets collated for ISLSCP Initiative I represent a first attempt to meet this need." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21919, 21955, 21962, 22345, 22346, 22353, 22354, 22355, 22356, 22357, 22359, 25846, 25855, 25870, 25874, 25884, 25885, 25897, 25900, 25905, 25906, 25907, 25911, 25927, 25928, 25929, 25930, 25931, 25932 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 4038, "uuid": "48c9cd8b8dd43490c8d786a28e9c1a44", "short_code": "coll", "title": "International Satellite Land Surface Climatology Project - Initiative I (ISLSCP I) Dataset", "abstract": "The International Satellite Land Surface Climatology Project was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies. This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. This dataset collection is public.\r\n\r\nWhile ISLSCP Inititative I covers 2 years (1987 and 1988), ISLSCP Inititative II spans a 10-year period for 1986 to 1995." } ], "responsiblepartyinfo_set": [ 50096, 50097, 50095, 50099, 50100, 50101, 50102, 50098 ], "onlineresource_set": [] }, { "ob_id": 13098, "uuid": "5a226b1468ca4fc1ace5e76815a1a4de", "title": "ISLSCP - I, Volume 1: Vegetation data", "abstract": "This CD-ROM set contains the Volume 1 vegetation data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n * Background (soil/litter layer) reflectances\r\n * Fraction of Photosynthetically Active radiation absorbed by the green vegetation canopy (FPAR)\r\n * Fourier-Adjustment, Solar zenith angle corrected, Interpolated Reconstructed (FASIR) normalized difference vegetation index (NDVI)\r\n * Percentage green leaf area of total leaf area\r\n * Total Leaf Area Index (LAI) \r\n * Normalized Difference Vegetation index (NDVI) \r\n * Roughness length (Zo) \r\n * Calculated snow-free albedo \r\n * Global land cover classification from satellite data\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:07:26", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. 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At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. 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Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n*Monthly cloud products (C2) \r\n*ERBE S4 clear-sky albedo \r\n*Surface and top of atmosphere (TOA) shortwave and photosynthetically active radiation (PAR) fluxes\r\n*Surface shortwave and longwave radiation fluxes\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:07:22", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. 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At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. This dataset collection is public.\r\n\r\nWhile ISLSCP Inititative I covers 2 years (1987 and 1988), ISLSCP Inititative II spans a 10-year period for 1986 to 1995." } ], "responsiblepartyinfo_set": [ 50112, 50113, 50111, 50115, 50116, 50117, 50118, 50114 ], "onlineresource_set": [] }, { "ob_id": 13101, "uuid": "5f70800ff32c42fb86d6ed86efd4f092", "title": "ISLSCP - I, Volume 1: Near-Surface Meteorology data", "abstract": "This CD-ROM set contains the Volume 1 Near-Surface Meteorology data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n * Near-surface meteorological analyses and hybrid products \r\n * Total and convective precipitation ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "1999-03-27T21:07:14", "updateFrequency": "notPlanned", "dataLineage": "CD-ROM was published in 1996, with data obtained over the 24 month period, 1987-1988 by satellite. CEDA-BADC acquired a copy of the CD-ROM and later uploaded its content into the BADC archive for online browsing.", "removedDataReason": "", "keywords": "ISLSCP, NASA, Near-Surface Meteorology", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-14T09:20:05", "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": 13102, "dataPath": "/badc/CDs/islscp/islscp_v1/data/misc/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 910057, "numberOfFiles": 4, "fileFormat": "Data are plain ASCII formatted" }, "timePeriod": { "ob_id": 1154, "startTime": "1987-01-01T00:00:00", "endTime": "1988-12-31T00:00:00" }, "resultQuality": { "ob_id": 1018, "explanation": "As per documentation provided including Dataset Status page.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13155, "uuid": "6dc41e067a834e7c94597f586a98e3c0", "short_code": "cmppr", "title": "ECMWF and NCM surface meteorology and precipitation reanalysis model output for the ISLSCP project", "abstract": "ECMWF and NCM surface meteorology and precipitation reanalysis model output for the ISLSCP project." }, "imageDetails": [ 63 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 4041, "uuid": "556faad7432d9a73a591a02636f7b7b9", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project (ISLSCP) - Initiative I", "abstract": "The International Satellite Land Surface Climatology Project (ISLSCP) was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies.\r\n\r\nIn June of 1992, an interdisciplindary Earth Science workshop was convened in Columbia, Maryland, to assess recent progress in land-atmosphere research, specifically in the areas of models, satellite data algorithms, and field experiments. At the workshop, representatives of the land-atmosphere modeling community stated that they had a need for global data sets to prescribe boundary conditions, initialize state variables, and provide near-surface meteorological and radiative forcings for their models. 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This CD-ROM set contains the Initiative I data collection. \r\n\r\nThe collection four areas : land cover, hydro-meteorology, radiation, and soils, spanning the 24 month period 1987-1988. All but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). The data within the four areas are organized into five groups within this collection: vegetation, Hydrology and Soils, Snow, Ice and Oceans, Radiation and Clouds, and Near-Surface Meteorology. This dataset collection is public.\r\n\r\nWhile ISLSCP Inititative I covers 2 years (1987 and 1988), ISLSCP Inititative II spans a 10-year period for 1986 to 1995." } ], "responsiblepartyinfo_set": [ 50120, 50121, 50123, 50124, 50125, 50126, 50119, 50122 ], "onlineresource_set": [] }, { "ob_id": 13112, "uuid": "552cdad62fd14f54ba8ddbab38977cbc", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3A Daily data (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) daily estimates for the Northern Hemisphere for the years 1978-2014. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-05-20T13:25:00", "updateFrequency": "notPlanned", "dataLineage": "SWE Data provided by the FMI as part of the CLIPC project in 2015.", "removedDataReason": "", "keywords": "esa, globsnow, swe, snow, climate, northern hemisphere", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "25km x25km", "status": "completed", "dataPublishedTime": "2015-09-22T20:54:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 741, "bboxName": "Northern Hemisphere", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 0.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13113, "dataPath": "/neodc/esa_globsnow/data/v2.0/L3A_daily", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 40453900070, "numberOfFiles": 6469, "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name." }, "timePeriod": { "ob_id": 3562, "startTime": "1979-09-10T23:00:00", "endTime": "2013-05-23T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 14500, "uuid": "8a973e318f11481094b8fcec1bfb6c3c", "short_code": "cmppr", "title": "Composite process for: GlobSnow Snow Water Equivalent (SWE) v2.0 L3A Daily data", "abstract": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3A Daily data are produced by processing satellite data. " }, "imageDetails": [ 152 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2565, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 35, "licenceURL": "http://creativecommons.org/licenses/by/3.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 11954, 50545, 50546, 50547, 50548, 91915 ], "vocabularyKeywords": [], "identifier_set": [ 8519 ], "observationcollection_set": [ { "ob_id": 13111, "uuid": "2f068226c7164a799cf202d1e7af07b2", "short_code": "coll", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 products", "abstract": "The GlobSnow SWE product is the first satellite based daily SWE dataset for the non-alpine northern hemisphere that extends from 1979 to 2014. The previous existing daily SWE records have spanned a shorter time period (2002-2014) or described the snow conditions on a monthly basis for a similar period (1978-2014). \r\n\r\nThe GlobSnow SWE record utilizes a novel data-assimilation based approach for SWE estimation which combines weather station measurements of snow depth with satellite passive microwave measurements. This approach was shown to be superior to alternative algorithms which solely utilize satellite data through comparison with extensive ground reference datasets.\r\n\r\nThe GlobSnow-1 and -2 projects have developed a long term data record of SWE products covering the non-alpine Northern Hemisphere, based on a time series of remotely sensed observations from the Nimbus-7 SMMR, DMSP F8/F11/F13/F17 SSM/I(S) instruments and ground-based weather station measurements from 1979 until 2014. \r\n\r\nThere are three SWE products (all on the EASE model grid; see Armstrong and Brodzik, 1995):\r\n\r\n- Daily Snow Water Equivalent (Daily L3A SWE), snow water equivalent (mm) for each grid cell for all evaluated land areas of the Northern Hemisphere.\r\n\r\n- Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE), calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\n- Monthly Aggregated Snow Water Equivalent (Monthly L3B SWE), a single product for each calendar month, providing the average and maximum SWE, calculated from the weekly aggregated SWE product.\r\n\r\nThe GlobSnow-1 project resulted in two versions of the data record, SWE v1.0 and SWE v1.3 (available from FMI). The dataset produced in GlobSnow-2 is identified as the GlobSnow SWE v2.0 data record.\r\n\r\nIn addition to the SWE retrievals, the SWE products include information on the overall extent of snow cover. The information on snow extent is included in the product by utilizing the following coding for the SWE product, whereby SWE values of:\r\n - 0 mm denotes snow-free areas (Snow Extent 0%)\r\n - 0.001 mm denote areas with melting snow (Snow Extent undefined between 0% and 100%; no SWE retrieval because of the wet state of the snow cover)\r\n - > 0.001 mm denote areas with full snow cover (Snow Extent 100%)\r\n\r\nThe areas that have been flagged as snow-free or melted are identified using a time-series melt detection approach described in Takala et al. (2009). The areas that are identified as wet snow or have no SWE retrieval, but are identified as snow covered with the time-series melt-detection approach, are denoted with a SWE value of 0.001 mm. The areas that are determined as snow-free or melted by the melt-detection approach, are denoted with a SWE value of 0 mm. All the other areas show a retrieved SWE value (that is in all cases greater than 0.001 mm).\r\n\r\nThe project was coordinated by the Finnish Meteorological Institute (FMI). Other project partners involved are NR (Norwegian Computing Centre), ENVEO IT GmbH, GAMMA Remote Sensing AG, Finnish Environment Institute (SYKE), Environment Canada (EC), Northern Research Institute (Norut), University of Bern, Meteoswiss and ZAMG.\r\n" }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 50200, 50201, 50202, 50205, 50206, 50207, 50199, 50204, 55010 ], "onlineresource_set": [ 7008, 7015, 7021, 9193, 9194, 9195, 9196 ] }, { "ob_id": 13114, "uuid": "08fc9775b3954a719d4f093b59cf194d", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly data (1979-2013)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) monthly estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe monthly aggregate, a single product for each month, is calculated by determining the mean and the maximum of the weekly SWE samples.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-06-05T13:47:43", "updateFrequency": "", "dataLineage": "SWE Data provided by the FMI as part of the CLIPC project in 2015.", "removedDataReason": "", "keywords": "esa, globsnow, swe, snow, climate, northern hemisphere, monthly", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "25km x 25km", "status": "completed", "dataPublishedTime": "2015-09-22T20:58:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 741, "bboxName": "Northern Hemisphere", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 0.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13117, "dataPath": "/neodc/esa_globsnow/data/v2.0/L3B_monthly", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2045234092, "numberOfFiles": 328, "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name." }, "timePeriod": { "ob_id": 3564, "startTime": "1979-09-30T23:00:00", "endTime": "2013-05-30T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 14502, "uuid": "1fb55e026d3747f59249779c59eaf6aa", "short_code": "cmppr", "title": "Composite process for: GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly data", "abstract": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly data are produced by processing satellite data. " }, "imageDetails": [ 152 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2565, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 35, "licenceURL": "http://creativecommons.org/licenses/by/3.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13110, "uuid": "678cebb16dc6438d8e87aef9d42b3c9a", "short_code": "proj", "title": "European Space Agency (ESA) Data User Element (DUE) GlobSnow project", "abstract": "The main objective of the European Space Agency (ESA) Data User Element (DUE) funded GlobSnow-1\r\nand GlobSnow-2 projects was the development and implementation of methodologies for producing\r\nlong-term records of snow cover information at the global scale intended primarily for climate research\r\npurposes. The efforts were focused on developing and adapting algorithms for the derivation of snow\r\nextent (SE) and snow water equivalent (SWE) from satellite data. The project has resulted in two new\r\nhemispheric records of SE and SWE extending 17 and 35 years respectively.\r\n\r\nThe European Space Agency (ESA) funded GlobSnow-1 project was active from 2008 to 2012 while the GlobSnow-2 project was a direct continuation of the GlobSnow-1 and continued through tp May 2014.\r\n\r\nGlobSnow-1 resulted in two long-term datasets at the hemispherical scale (not available at CEDA). Information on two essential snow parameters: snow water equivalent (SWE) and areal snow extent (SE), were provided for a period of 33 years and 17 years respectively. The Final report of GlobSnow-1 gives additional information on the accomplishments and recommendations from GlobSnow-1 project.\r\n\r\nThe objective of the GlobSnow-2 project is further enhancement of the retrieval methodologies for SE and SWE products and a re-processing of the long term datasets utilizing the improved retrieval algorithms. In addition to the further development of methodologies for the legacy sensor families of GlobSnow-1, the consortium investigated the utilization of AVHRR and NPP Suomi VIIRS data as gap fillers before the launch of the Sentinel-3 SLSTR-sensor. \r\n\r\nThe European Space Agency (ESA) funded GlobSnow project is coordinated by the Finnish Meteorological Institute (FMI). Other project partners involved are NR (Norwegian Computing Centre), ENVEO IT GmbH, GAMMA Remote Sensing AG, Finnish Environment Institute (SYKE), Environment Canada (EC), Northern Research Institute (Norut), University of Bern, Meteoswiss and ZAMG.\r\n\r\nThe GlobSnow Principal Investigator is professor Jouni Pulliainen (FMI).\r\nThe GlobSnow Project Manager is Dr. Kari Luojus (FMI).\r\nThe GlobSnow Technical Officer is Dr. Simon Pinnock (ESA). " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 11950, 11951, 11952, 11953, 11954, 11973, 11974 ], "vocabularyKeywords": [], "identifier_set": [ 8520 ], "observationcollection_set": [ { "ob_id": 13111, "uuid": "2f068226c7164a799cf202d1e7af07b2", "short_code": "coll", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 products", "abstract": "The GlobSnow SWE product is the first satellite based daily SWE dataset for the non-alpine northern hemisphere that extends from 1979 to 2014. The previous existing daily SWE records have spanned a shorter time period (2002-2014) or described the snow conditions on a monthly basis for a similar period (1978-2014). \r\n\r\nThe GlobSnow SWE record utilizes a novel data-assimilation based approach for SWE estimation which combines weather station measurements of snow depth with satellite passive microwave measurements. This approach was shown to be superior to alternative algorithms which solely utilize satellite data through comparison with extensive ground reference datasets.\r\n\r\nThe GlobSnow-1 and -2 projects have developed a long term data record of SWE products covering the non-alpine Northern Hemisphere, based on a time series of remotely sensed observations from the Nimbus-7 SMMR, DMSP F8/F11/F13/F17 SSM/I(S) instruments and ground-based weather station measurements from 1979 until 2014. \r\n\r\nThere are three SWE products (all on the EASE model grid; see Armstrong and Brodzik, 1995):\r\n\r\n- Daily Snow Water Equivalent (Daily L3A SWE), snow water equivalent (mm) for each grid cell for all evaluated land areas of the Northern Hemisphere.\r\n\r\n- Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE), calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\n- Monthly Aggregated Snow Water Equivalent (Monthly L3B SWE), a single product for each calendar month, providing the average and maximum SWE, calculated from the weekly aggregated SWE product.\r\n\r\nThe GlobSnow-1 project resulted in two versions of the data record, SWE v1.0 and SWE v1.3 (available from FMI). The dataset produced in GlobSnow-2 is identified as the GlobSnow SWE v2.0 data record.\r\n\r\nIn addition to the SWE retrievals, the SWE products include information on the overall extent of snow cover. The information on snow extent is included in the product by utilizing the following coding for the SWE product, whereby SWE values of:\r\n - 0 mm denotes snow-free areas (Snow Extent 0%)\r\n - 0.001 mm denote areas with melting snow (Snow Extent undefined between 0% and 100%; no SWE retrieval because of the wet state of the snow cover)\r\n - > 0.001 mm denote areas with full snow cover (Snow Extent 100%)\r\n\r\nThe areas that have been flagged as snow-free or melted are identified using a time-series melt detection approach described in Takala et al. (2009). The areas that are identified as wet snow or have no SWE retrieval, but are identified as snow covered with the time-series melt-detection approach, are denoted with a SWE value of 0.001 mm. The areas that are determined as snow-free or melted by the melt-detection approach, are denoted with a SWE value of 0 mm. All the other areas show a retrieved SWE value (that is in all cases greater than 0.001 mm).\r\n\r\nThe project was coordinated by the Finnish Meteorological Institute (FMI). Other project partners involved are NR (Norwegian Computing Centre), ENVEO IT GmbH, GAMMA Remote Sensing AG, Finnish Environment Institute (SYKE), Environment Canada (EC), Northern Research Institute (Norut), University of Bern, Meteoswiss and ZAMG.\r\n" }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 50216, 50214, 50213, 50212, 50209, 50208, 50210, 50211, 50215, 55012 ], "onlineresource_set": [ 7010, 7019, 7020, 9201, 9202, 9203, 9204 ] }, { "ob_id": 13115, "uuid": "0710e8e5e584473fb292bb69b7fbf8a7", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Weekly aggregated data (1979-1994)", "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) 7-day estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE) were calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans)\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:05:42", "updateFrequency": "", "dataLineage": "SWE Data provided by the FMI as part of the CLIPC project in 2015.", "removedDataReason": "", "keywords": "esa, globsnow, swe, snow, climate, northern hemisphere, monthly", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "25km x 25km", "status": "completed", "dataPublishedTime": "2015-09-22T20:51:06", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 741, "bboxName": "Northern Hemisphere", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 0.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13116, "dataPath": "/neodc/esa_globsnow/data/v2.0/L3B_7day_mean", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22530555738, "numberOfFiles": 3604, "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name." }, "timePeriod": { "ob_id": 3563, "startTime": "1979-09-10T23:00:00", "endTime": "2013-05-30T22:59:59" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 14503, "uuid": "7fe6f3f2820746c79f18fcf6ecdd8643", "short_code": "cmppr", "title": "Composite process for: GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Weekly aggregated data", "abstract": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Weekly aggregated data data are produced by processing satellite data. " }, "imageDetails": [ 152 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2565, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 35, "licenceURL": "http://creativecommons.org/licenses/by/3.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13110, "uuid": "678cebb16dc6438d8e87aef9d42b3c9a", "short_code": "proj", "title": "European Space Agency (ESA) Data User Element (DUE) GlobSnow project", "abstract": "The main objective of the European Space Agency (ESA) Data User Element (DUE) funded GlobSnow-1\r\nand GlobSnow-2 projects was the development and implementation of methodologies for producing\r\nlong-term records of snow cover information at the global scale intended primarily for climate research\r\npurposes. The efforts were focused on developing and adapting algorithms for the derivation of snow\r\nextent (SE) and snow water equivalent (SWE) from satellite data. The project has resulted in two new\r\nhemispheric records of SE and SWE extending 17 and 35 years respectively.\r\n\r\nThe European Space Agency (ESA) funded GlobSnow-1 project was active from 2008 to 2012 while the GlobSnow-2 project was a direct continuation of the GlobSnow-1 and continued through tp May 2014.\r\n\r\nGlobSnow-1 resulted in two long-term datasets at the hemispherical scale (not available at CEDA). Information on two essential snow parameters: snow water equivalent (SWE) and areal snow extent (SE), were provided for a period of 33 years and 17 years respectively. The Final report of GlobSnow-1 gives additional information on the accomplishments and recommendations from GlobSnow-1 project.\r\n\r\nThe objective of the GlobSnow-2 project is further enhancement of the retrieval methodologies for SE and SWE products and a re-processing of the long term datasets utilizing the improved retrieval algorithms. In addition to the further development of methodologies for the legacy sensor families of GlobSnow-1, the consortium investigated the utilization of AVHRR and NPP Suomi VIIRS data as gap fillers before the launch of the Sentinel-3 SLSTR-sensor. \r\n\r\nThe European Space Agency (ESA) funded GlobSnow project is coordinated by the Finnish Meteorological Institute (FMI). Other project partners involved are NR (Norwegian Computing Centre), ENVEO IT GmbH, GAMMA Remote Sensing AG, Finnish Environment Institute (SYKE), Environment Canada (EC), Northern Research Institute (Norut), University of Bern, Meteoswiss and ZAMG.\r\n\r\nThe GlobSnow Principal Investigator is professor Jouni Pulliainen (FMI).\r\nThe GlobSnow Project Manager is Dr. Kari Luojus (FMI).\r\nThe GlobSnow Technical Officer is Dr. Simon Pinnock (ESA). " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 11954, 50545, 50546, 50547, 50548, 57628 ], "vocabularyKeywords": [], "identifier_set": [ 8521 ], "observationcollection_set": [ { "ob_id": 13111, "uuid": "2f068226c7164a799cf202d1e7af07b2", "short_code": "coll", "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 products", "abstract": "The GlobSnow SWE product is the first satellite based daily SWE dataset for the non-alpine northern hemisphere that extends from 1979 to 2014. The previous existing daily SWE records have spanned a shorter time period (2002-2014) or described the snow conditions on a monthly basis for a similar period (1978-2014). \r\n\r\nThe GlobSnow SWE record utilizes a novel data-assimilation based approach for SWE estimation which combines weather station measurements of snow depth with satellite passive microwave measurements. This approach was shown to be superior to alternative algorithms which solely utilize satellite data through comparison with extensive ground reference datasets.\r\n\r\nThe GlobSnow-1 and -2 projects have developed a long term data record of SWE products covering the non-alpine Northern Hemisphere, based on a time series of remotely sensed observations from the Nimbus-7 SMMR, DMSP F8/F11/F13/F17 SSM/I(S) instruments and ground-based weather station measurements from 1979 until 2014. \r\n\r\nThere are three SWE products (all on the EASE model grid; see Armstrong and Brodzik, 1995):\r\n\r\n- Daily Snow Water Equivalent (Daily L3A SWE), snow water equivalent (mm) for each grid cell for all evaluated land areas of the Northern Hemisphere.\r\n\r\n- Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE), calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\n- Monthly Aggregated Snow Water Equivalent (Monthly L3B SWE), a single product for each calendar month, providing the average and maximum SWE, calculated from the weekly aggregated SWE product.\r\n\r\nThe GlobSnow-1 project resulted in two versions of the data record, SWE v1.0 and SWE v1.3 (available from FMI). The dataset produced in GlobSnow-2 is identified as the GlobSnow SWE v2.0 data record.\r\n\r\nIn addition to the SWE retrievals, the SWE products include information on the overall extent of snow cover. The information on snow extent is included in the product by utilizing the following coding for the SWE product, whereby SWE values of:\r\n - 0 mm denotes snow-free areas (Snow Extent 0%)\r\n - 0.001 mm denote areas with melting snow (Snow Extent undefined between 0% and 100%; no SWE retrieval because of the wet state of the snow cover)\r\n - > 0.001 mm denote areas with full snow cover (Snow Extent 100%)\r\n\r\nThe areas that have been flagged as snow-free or melted are identified using a time-series melt detection approach described in Takala et al. (2009). The areas that are identified as wet snow or have no SWE retrieval, but are identified as snow covered with the time-series melt-detection approach, are denoted with a SWE value of 0.001 mm. The areas that are determined as snow-free or melted by the melt-detection approach, are denoted with a SWE value of 0 mm. All the other areas show a retrieved SWE value (that is in all cases greater than 0.001 mm).\r\n\r\nThe project was coordinated by the Finnish Meteorological Institute (FMI). Other project partners involved are NR (Norwegian Computing Centre), ENVEO IT GmbH, GAMMA Remote Sensing AG, Finnish Environment Institute (SYKE), Environment Canada (EC), Northern Research Institute (Norut), University of Bern, Meteoswiss and ZAMG.\r\n" }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 50217, 50219, 50220, 50221, 50223, 50224, 50225, 50222, 50218, 55013 ], "onlineresource_set": [ 7011, 7022, 7014, 9374, 9375, 9376, 9377 ] }, { "ob_id": 13120, "uuid": "ca85cfb32226477f80b2f79977c51044", "title": "SPECS - CNRM-CM5-HRA-LRO model output prepared for SPECS horizlResImpact (1993-2009)", "abstract": "This dataset includes the CNRM-CM5-HRA-LRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-HRA-LRO, frequency is daily, associated model is atmo HR ocean LR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl359l31r); ocean:Nemo (Orca1); sea-ice:none; land:isba).\r\n\r\nvariables available are:\r\n - Precipitation flux (pr) in kg m-2 s-1\r\n - Air Temperature (tas) in deg K\r\n - Max Air temperature (tasmax) deg K\r\n - Min Air temperature (tasmin) deg K\r\n - Geopotential height (zg) in metres\r\n - Air Pressure at sea level (psl) in Pa\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-09-07T19:33:56.995089", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied to CEDA-BADC for archiving in 2015.", "removedDataReason": "", "keywords": "SPECS, climate", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-24T20:04:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13121, "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5-HRA-LRO/horizlResImpact/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 127151030445, "numberOfFiles": 57121, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3565, "startTime": "1993-02-01T00:00:00", "endTime": "2009-11-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50426, 50475, 50498, 50542, 50543, 50603, 50608, 52741, 53094, 53133, 56884, 79918 ], "vocabularyKeywords": [], "identifier_set": [ 8527 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50250, 50251, 50246, 50252, 50245, 50247, 50249, 50248, 54771 ], "onlineresource_set": [] }, { "ob_id": 13122, "uuid": "ab011f7d6d07448babf610c22d353dea", "title": "SPECS - CNRM-CM5-LRA-LRO model output prepared for SPECS horizlResImpact (1993-2009)", "abstract": "This dataset includes the CNRM-CM5-LRA-LRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-LRA-LRO, frequency is daily, associated model is atmo LR ocean LR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl127l31r); ocean:Nemo (Orca1); sea-ice:none; land:isba).\r\n\r\nvariables available are:\r\n - Precipitation flux (pr) in kg m-2 s-1\r\n - Air Temperature (tas) in deg K\r\n - Max Air temperature (tasmax) deg K\r\n - Min Air temperature (tasmin) deg K\r\n - Geopotential height (zg) in metres\r\n - Air Pressure at sea level (psl) in Pa\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2016-01-29T10:27:46.374897", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied to CEDA-BADC for archiving in 2015.", "removedDataReason": "", "keywords": "SPECS, climate", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-24T20:13:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13123, "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5-LRA-LRO/horizlResImpact/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 163633200951, "numberOfFiles": 57121, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3565, "startTime": "1993-02-01T00:00:00", "endTime": "2009-11-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50426, 50475, 50498, 50542, 50543, 50603, 50608, 52741, 53094, 53133, 56884, 79918 ], "vocabularyKeywords": [], "identifier_set": [ 8528 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50260, 50253, 50254, 50256, 50257, 50258, 50259, 50255, 54772 ], "onlineresource_set": [] }, { "ob_id": 13125, "uuid": "c8ad5318601348c38d4a032f879a265f", "title": "SPECS - CNRM-CM5 model output prepared for SPECS snowInit (1991-2012)", "abstract": "This dataset includes the CNRM-CM5 model output prepared for SPECS snowInit (1991-2012). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. \r\n\r\nModel id is CNRM-CM5, frequency is daily, associated model is atmo HR ocean HR. Arpege V5.1 is the underlying model, 31 vertical levels (CNRM-CM5 2013 atmosphere:Arpege (tl127l91r); ocean:Nemo (Orca1); sea-ice:Gelato; land:isba.\r\n\r\nAtmospheric variables are:\r\nhfls hfss pr psl rlds rls rsds rss ta tas tasmax tasmin zg\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-07-08T20:35:20.474635", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, cnrm, climate, snow", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-24T20:54:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13126, "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5/snowInit", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 159564805426, "numberOfFiles": 45761, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3566, "startTime": "1979-04-30T23:00:00", "endTime": "2012-04-30T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50426, 50475, 50498, 50559, 50561, 50589, 50591, 50596, 50598, 50603, 50608, 52741, 53094, 53095, 53105, 53133, 56884, 56885 ], "vocabularyKeywords": [], "identifier_set": [ 8530 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50263, 50262, 50264, 50266, 50267, 50268, 50269, 50265, 54949 ], "onlineresource_set": [ 7038 ] }, { "ob_id": 13127, "uuid": "94a0710c928e4f868e7b6e50e3dbf44c", "title": "SPECS - CNRM-CM5 model output prepared for SPECS SoilMoistureInit (1991-2012)", "abstract": "This dataset includes the CNRM-CM5 model output prepared for SPECS SoilMoistureInit (1991-2012). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. \r\n\r\nModel id is CNRM-CM5, frequency is daily. Arpege V5.1 is the underlying model, 31 vertical levels (CNRM-CM5 2013 atmosphere:Arpege (tl127l91r); ocean:Nemo (Orca1); sea-ice:Gelato; land:isba.\r\n\r\nAtmospheric variables are:\r\nhfls hfss pr psl rlds rls rsds rss ta tas tasmax tasmin zg\r\n\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-21T18:51:47.317621", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, cnrm, climate, soil moisture, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-24T21:08:20", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13128, "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5/soilMoistureInit", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 124949998643, "numberOfFiles": 51481, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3567, "startTime": "1991-04-30T23:00:00", "endTime": "2012-05-31T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50426, 50427, 50475, 50498, 50542, 50543, 50589, 50591, 50596, 50598, 50603, 50608, 52741, 53094, 53105, 56884, 56885, 79918 ], "vocabularyKeywords": [], "identifier_set": [ 8531 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50271, 50277, 50270, 50272, 50274, 50275, 50276, 50273, 54776 ], "onlineresource_set": [ 7039 ] }, { "ob_id": 13129, "uuid": "9691e341cf124ad7bad2b82095dde60b", "title": "SPECS - CERFACS-HR model output prepared for SPECS horizlResImpact (1993-2009)", "abstract": "This dataset includes the CERFACS-HR model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the European Centre for Research and Advanced Training in Scientific Computation (CERFACS), as part of the SPECS project. \r\n\r\nModel id is CERFACS-HR (atmosphere: ARPEGE v5.3; ocean: NEMO v3.4 including LIM2 sea-ice; coupler: OASIS3-MCT v2.0\" ), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nsnld\r\n\r\nDaily Ocean variables:\r\nmlotst t20d\r\n\r\nDaily sea ice variables:\r\nsic tsice\r\n\r\nMonthly sea ice variables:\r\nsic sit snld strairx strairy tsice usi vsi\r\n\r\nMonthly ocean variables:\r\nmlotst so t20d thetao tos uo vo wo zos", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T22:56:51", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, cnrm, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-25T18:18:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13130, "dataPath": "/badc/specs/data/SPECS/output/CNRM-CERFACS/CERFACS-HR/horizlResImpact/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8120950112466, "numberOfFiles": 18892, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3568, "startTime": "1993-11-01T00:00:00", "endTime": "2009-11-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 6255, 8230, 8231, 9746, 11040, 11042, 11058, 11062, 11064, 11066, 11077, 11078, 11196, 11197, 11410, 11411, 11412, 11413, 11414, 11424, 11425, 11426, 11427, 12584, 12585 ], "vocabularyKeywords": [], "identifier_set": [ 8532 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50282, 50283, 50284, 50285, 50279, 50278, 50281, 50280, 54652 ], "onlineresource_set": [] }, { "ob_id": 13132, "uuid": "bab564efe0ce4be3885ce38d0f4f3700", "title": "NAMBLEX: Relative Humidity Measurments from the University of Leicester's RH Probe deployed at the Mace Head Atmospheric Research Facility, Ireland", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of relative humidity readings from the University of Leicester's RH Probe.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2003-10-10T14:18:56", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained by the Universities Facility for Atmospheric Measurements (UFAM) instruments in July-September 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, Atmospheric Chemistry, Boundary Layer", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-25T13:48:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 508, "bboxName": "Mace Head Atmospheric Research Station", "eastBoundLongitude": -9.899444, "westBoundLongitude": -9.903889, "southBoundLatitude": 53.325833, "northBoundLatitude": 53.326111 }, "verticalExtent": null, "result_field": { "ob_id": 13133, "dataPath": "/badc/namblex/data/leic-relativehumidity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3750595, "numberOfFiles": 4, "fileFormat": "Data are NASA-Ames 1001 formatted." }, "timePeriod": { "ob_id": 3497, "startTime": "2002-07-25T23:00:00", "endTime": "2002-09-02T22:59:59" }, "resultQuality": { "ob_id": 2065, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13134, "uuid": "777e92a19e114d9a98df46fa033d555e", "short_code": "acq", "title": "Acquisition Process for:NAMBLEX: Relative Humidity Measurments from the University of Leicester's RH Probe deployed at the Mace Head Atmospheric Research Facility, Ireland", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: University of Leicester's RH Probe; PLATFORMS: Mace Head Research Facility, Ireland; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25162, 52353 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 50290, 50291, 50289, 50293, 50294, 50295, 50296, 50292 ], "onlineresource_set": [] }, { "ob_id": 13135, "uuid": "1509a96fb24c48fc80b079186552138f", "title": "SPECS - ECMWF-IFS Model data prepared for seasonal SPECS (1981-2012)", "abstract": "This dataset includes the ECMWF-IFS model output prepared for SPECS seasonal (1981-2012). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS (IFS C36R4), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nrlut\r\n\r\nMonthly atmos variables:\r\nal clt hfls hfss mrso pr psl rls rsds rss snld tas tdps uas vas\r\n\r\nMonthly ocean variables:\r\nmlotst sos t20d thetao tos uo vo\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-04-14T03:44:28", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, ifs, ecmwf, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-09-25T18:45:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13136, "dataPath": "/badc/specs/data/SPECS/output/ECMWF/IFS/seasonal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 617927210911, "numberOfFiles": 105239, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3569, "startTime": "1981-04-30T23:00:00", "endTime": "2012-04-30T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 6255, 11044, 11045, 50416, 50475, 50496, 50498, 50566, 50568, 50569, 50579, 50591, 50596, 50598, 52741, 52747, 52748, 52755, 53094, 53095, 53105, 53108, 53109, 53113, 53128, 53129, 53130, 53131, 53132, 53134, 53135, 53136, 53141, 57970 ], "vocabularyKeywords": [], "identifier_set": [ 8534 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50306, 50301, 50300, 50299, 50304, 50305, 50303, 50302, 54775 ], "onlineresource_set": [ 7041 ] }, { "ob_id": 13137, "uuid": "99c2f097e6a04a72983912752e1098d4", "title": "SPECS - IPSL-CM5A-LR model output prepared for SPECS decadal (1961-2013)", "abstract": "This dataset includes the IPSL-CM5A-LR model output prepared for SPECS seasonal (1961-2013). These data were prepared by the Institut Pierre Simon Laplace (Paris, France), as part of the SPECS project. \r\n \r\nModel id is IPSL-CM5A-LR (IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96x95x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt pr psl rls rlut rsds ta tas tasmax tasmin uas vas zg\r\n\r\nFixed Atmospheric variables are:\r\nsftlf\r\n\r\nFixed Land variables are:\r\nsftgif\r\n\r\nFixed Ocean variables are:\r\ngoro\r\n\r\nMonthly atmos variables:\r\nal hfls pr rls rsds rss ta tasmax uas zg\r\nclt hfss psl rlut rsdt rsut tas tasmin vas\r\n\r\nMonthly ocean variables:\r\nhfnorth hfnorthba msftmyz msftmyzba sltnortha t20d tos vo\r\nhfnortha mlotst msftmyza sltnorth sos thetao uo\r\n\r\nMonthly land variables:\r\nmrso\r\n\r\nMonthly SeaIce variables:\r\nsic sit snld", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T21:24:34", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, IPSL, climate, model, decadal", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-25T19:40:02", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13138, "dataPath": "/badc/specs/data/SPECS/output/IPSL/IPSL-CM5A-LR/decadal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 408635766681, "numberOfFiles": 8562, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3570, "startTime": "1961-01-01T00:00:00", "endTime": "2013-01-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6019, 6020, 6021, 6022, 6023, 6087, 6092, 6093, 6255, 6506, 6818, 7767, 7769, 7771, 7772, 7773, 7776, 7777, 7778, 7899, 8230, 8231, 9727, 9746, 9754, 9756, 10410, 10411, 11040, 11042, 11044, 11045, 11058, 11077, 11078, 11196, 11197, 11198, 11410, 11411, 11414, 11415, 11416, 11417, 11418, 11419, 11421, 11422, 11424, 11425, 11426, 11427, 12586, 12587, 12588, 12589, 12590, 12591, 12593, 12594 ], "vocabularyKeywords": [], "identifier_set": [ 8535 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50308, 50314, 50307, 50309, 50311, 50312, 50313, 50310, 54777 ], "onlineresource_set": [] }, { "ob_id": 13139, "uuid": "3204c2ba08ba4422ad3e71e8073e7776", "title": "SPECS - KNMI EC-EARTH2 model output prepared for SPECS seaIceInit (1919-1949)", "abstract": "This dataset includes the KNMI EC-EARTH2 model output prepared for SPECS (1919-1949). These data were prepared by the Royal Netherlands Meteorological Institute (KNMI), as part of the SPECS project. \r\n \r\nModel id is EC-EARTH2 (EC-EARTH2 v2.3 official release from ECMWF), frequency is 6 hourly, daily and monthly. \r\n\r\n6-hourly Atmospheric variables are:\r\nclt psl tas tdps uas vas\r\n\r\nDaily Atmospheric variables are:\r\npr rls rlut rsds tasmax tasmin\r\n\r\nMonthly atmos variables:\r\nal hfls pr rls rsds snld tas tasmin uas zg\r\nclt hfss psl rlut rss ta tasmax tdps vas\r\n\r\nMonthly ocean variables:\r\nmlotst msftmyz msftmyza sos thetao tos uo vo wo zos\r\n\r\nMonthly seaIce variables:\r\nsic sit snd tsice usi vsi\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-04T20:43:16", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015.", "removedDataReason": "", "keywords": "specs, EC-EARTH, KNMI, climate, model, decadal", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-25T20:03:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13140, "dataPath": "/badc/specs/data/SPECS/output/KNMI/EC-EARTH2/seaIceInit", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19696412708455, "numberOfFiles": 1699294, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3571, "startTime": "1919-11-01T00:00:00", "endTime": "1949-11-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 6255, 7795, 11044, 11045, 50418, 50426, 50475, 50496, 50498, 50566, 50568, 50569, 50579, 50591, 50596, 50598, 50603, 50608, 52741, 52747, 52755, 53094, 53095, 53105, 53107, 53108, 53109, 53111, 53112, 53113, 53128, 53129, 53130, 53131, 53132, 53133, 53134, 53135, 53136, 53137, 53138, 53139, 53140, 53141, 53142, 53143 ], "vocabularyKeywords": [], "identifier_set": [ 8536 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50316, 50322, 50315, 50317, 50319, 50320, 50321, 50318, 54778 ], "onlineresource_set": [] }, { "ob_id": 13141, "uuid": "08c93067e22040a0921cdce1f45b28d3", "title": "SPECS - MPI-ESM-HR model output prepared for SPECS seasonal (1979-2011)", "abstract": "This dataset includes the MPI-ESM-HR model output prepared for SPECS seasonal (1979-2011). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n \r\nModel id is MPI-ESM-HR (MPI-ESM-HR 2011; atmosphere: ECHAM6 (REV: ), T63L47; land: JSBACH (REV: ); ocean: MPIOM (REV: ), GR15L40; sea ice: ; marine bgc: HAMOCC (REV: )), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt hfls hfss mrso pr prc psl rlds rlut rsds tas uas vas\r\n\r\nMonthly atmos variables:\r\nhus pr psl ta tas ua va zg\r\n\r\nMonthly ocean variables:\r\nmlotst tos\r\n\r\nMonthly land variables:\r\nmrro mrso\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-08-31T04:32:02", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015. Data was checked for compliance with CF standards and SPECS requirements.", "removedDataReason": "", "keywords": "specs, MPI-ESM, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-25T20:31:21", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13142, "dataPath": "/badc/specs/data/SPECS/output/MPI-M/MPI-ESM-HR/seasonal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 288859857894, "numberOfFiles": 107581, "fileFormat": "NetCDF4" }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50426, 50427, 50429, 50431, 50475, 50496, 50498, 50559, 50561, 50566, 50579, 50589, 50591, 50592, 50596, 50598, 52741, 52747, 52748, 53094, 53109, 53130, 53131, 54228, 54796, 54797, 54798, 54799, 79918, 82362 ], "vocabularyKeywords": [], "identifier_set": [ 8537 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50324, 50323, 50325, 50327, 50328, 50329, 50330, 50326, 54950 ], "onlineresource_set": [] }, { "ob_id": 13143, "uuid": "fa4cbccb81ba4cfeb05bd75cb7081909", "title": "SPECS - MPI-ESM-MR model output prepared for SPECS seasonal (1981-2011)", "abstract": "This dataset includes the MPI-ESM-MR model output prepared for SPECS seasonal (1981-2011). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n \r\nModel id is MPI-ESM-MR (MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4339), T63L47; land: JSBACH (REV: 4339); ocean: MPIOM (REV: 4339), GR15L40; sea ice: 4339; marine bgc: HAMOCC (REV: 4339)), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt hfls hfss mrso pr prc psl rlds rlut rsds tas uas vas\r\n\r\nMonthly atmos variables:\r\nhus pr psl ta tas ua va zg\r\n\r\nMonthly ocean variables:\r\nmlotst tos\r\n\r\nMonthly land variables:\r\nmrro mrso\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-08-29T05:58:16", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015. Data was checked for compliance with CF standards and SPECS requirements.", "removedDataReason": "", "keywords": "specs, MPI-ESM, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2015-09-25T20:44:12", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13144, "dataPath": "/badc/specs/data/SPECS/output/MPI-M/MPI-ESM-MR/seasonal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 98056888446, "numberOfFiles": 101061, "fileFormat": "NetCDF4" }, "timePeriod": { "ob_id": 3573, "startTime": "1981-04-30T23:00:00", "endTime": "2011-11-01T00:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6021, 6022, 6023, 50426, 50427, 50429, 50431, 50475, 50496, 50498, 50559, 50561, 50566, 50579, 50589, 50591, 50592, 50596, 50598, 52741, 52747, 52748, 53094, 53095, 53109, 53130, 53131, 54228, 54796, 54797, 54798, 54799 ], "vocabularyKeywords": [], "identifier_set": [ 8538 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50332, 50331, 50333, 50335, 50336, 50337, 50338, 50334, 54951 ], "onlineresource_set": [] }, { "ob_id": 13145, "uuid": "cf6b2d81dd2f4f1c9e00c57ede12ac63", "title": "SPECS - MOHC-GloSea5 model output prepared for SPECS seasonal (1992-2012)", "abstract": "This dataset includes the Met Office GloSea5 model output prepared for SPECS seasonal (1992-2012). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. \r\n \r\nModel id is GloSea5 (GloSea5: HadGEM3 v3.0 (2014); atmosphere: UM (GA3.0) ; ocean: NEMO (v2, ORCA0.25) ; coupler: OASIS3 (v3.3); sea ice: CICE), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\npr psl rls rlut tas tasmax tasmin\r\n\r\nMonthly atmos variables:\r\npr psl ta tas zg\r\n\r\nMonthly seaIce variables:\r\nsic sit snd\r\n\r\nOcean variables:\r\nso thetao tos uo vo\r\n\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-01T00:13:59", "updateFrequency": "notPlanned", "dataLineage": "Data were supplied by SPECS participants to CEDA for archiving in 2015. Data was checked for compliance with CF standards and SPECS requirements.", "removedDataReason": "", "keywords": "specs, MOHC, GloSea5, climate, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2015-10-05T13:12:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 528, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13146, "dataPath": "/badc/specs/data/SPECS/output/MOHC/GloSea5/seasonal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8177181007955, "numberOfFiles": 271091, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 3575, "startTime": "1992-04-24T23:00:00", "endTime": "2009-05-08T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 153 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1139, "name": "CLIPC" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12970, "uuid": "c9b4b1fcab734987bcbfb36437734ca7", "short_code": "proj", "title": "Seasonal-to-decadal climate Prediction for the improvement of European Climate Services (SPECS)", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nThe improved understanding and seamless predictions will offer better estimates of the future frequency of high-impact, extreme climatic events and of the prediction uncertainty. New services to convey climate information and its quality will be used.\r\n\r\nSPECS will be, among other things, the glue to coalesce the outcome of previous research efforts that hardly took climate prediction into account. It will ensure interoperability so as to easily incorporate their application in an operational context, provide the basis for improving the capacity of European policy making, industry and society to adapt to near-future climate variations and a coordinated response to some of the GFCS components.\r\n\r\nThis project is funded by the Seventh Framework Programme (FP7) of the European Commission (GA 308378)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6023, 6092, 6818, 7767, 7769, 7771, 7772, 7773, 7778, 8230, 8231, 9616, 9746, 9874, 10232, 10233, 11077, 11078, 11197, 11422, 11424, 11425, 12334, 12335, 12336, 12338, 12339, 12340, 12341, 12342, 12343, 12344, 12345, 12568, 12570, 12571, 12574, 12576, 12577, 12579, 12580, 12581, 12582 ], "vocabularyKeywords": [], "identifier_set": [ 8539 ], "observationcollection_set": [ { "ob_id": 6086, "uuid": "2d9c5f2cc621fb9bc0062356851b31b9", "short_code": "coll", "title": "SPECS: Seasonal-to-decadal climate prediction model outputs", "abstract": "SPECS will undertake research and dissemination activities to deliver a new generation of European climate forecast systems, with improved forecast quality and efficient regionalisation tools to produce reliable, local climate information over land at seasonal-to-decadal time scales, and provide an enhanced communication protocol and services to satisfy the climate information needs of a wide range of public and private stakeholders.\r\n\r\nA core set of common experiments has been defined, to which most forecast systems will contribute. Another set of coordinated experiments, tier 1, includes the experiments that one or more forecast systems are planning to run. \r\n\r\nA standard seasonal experimental set up will consist of ten-member ensembles, with two start dates per year (first of May and November) over the 1981-2012 period and seven-month forecast length. \r\n\r\nThe standard decadal experimental set up consists in five-member ensembles, starting on the first of November (or some time close to that date) of the years 1960, 1963, 1965, 1968, 1970, 1973, 1975, 1978, 1980, 1983, 1985, 1988, 1990, 1993, 1995, 1998, 2000, 2003, 2005, 2008, 2010, 2013, with a five-year forecast length. \r\n\r\nA description of the main experiments, with the minimum contribution in terms of start dates, forecast length and ensemble size follows: \r\n1 - Assessment of the impact of soil-moisture initial conditions (seasonal): contributing EC-Earth, IFS/NEMO (ECMWF), CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG);\r\n2 - Assessment of the impact of sea-ice initialization (interannual); contributing EC-Earth (IC3), IPSL-CM5, CNRM-CM5 (MeteoF), UM, MPI-ESM (MPG)\r\n3 - Assessment of impact of increased horizontal resolution (seasonal and decadal); contributing CNRM-CM5 (CERFACS, decadal; MeteoF, seasonal), EC-Earth (IC3, seasonal; KNMI and SMHI, decadal), MPI-ESM (MPG, seasonal and decadal), IPSL-CM5 (decadal), UM (seasonal and decadal); \r\n4 - Assessment of impact of an improved stratosphere (seasonal and decadal) including interannually-varying ozone; contributing EC-Earth (KNMI seasonal with ozone; SMHI decadal), IFS/NEMO (ECMWF, seasonal), CNRM-CM5 (MeteoF, seasonal), UM (seasonal, decadal);\r\n5 - Assessment of impact of additional start dates (decadal); contributing EC-Earth (KNMI, SMHI), MPI-ESM (MPG), IPSL-CM5.\r\n\r\nSPECS research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under SPECS project (grant agreement n° 308378)." } ], "responsiblepartyinfo_set": [ 50340, 50346, 50339, 50342, 50343, 50344, 50345, 50341, 54770 ], "onlineresource_set": [] }, { "ob_id": 13149, "uuid": "4504fea2b2f14046ab7ef84f4856d887", "title": "CRU CY3.23: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.23 (Jan. 1901 - Dec. 2014)", "abstract": "The CRU CY version 3.23 dataset consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables, including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and Potential Evapo-transpiration. \r\n\r\nThis dataset was produced in 2015 by the Climatic Research Unit (CRU) at the University of East Anglia. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.23 is derived directly from the CRU TS3.23 dataset. CRU CY version 3.23 spans the period 1901-2014 for 289 countries.\r\n\r\nTo understand the CRU-CY3.23 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.23. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014).\r\n\r\nCRU CY data are available for download to all CEDA users.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-11-06T21:22:03", "updateFrequency": "notPlanned", "dataLineage": "CRU CY 3.21 data files acquired directly from CRU in 2013.\r\nCRU CY 3.22 data files supplied by CRU in July 2014.\r\nCRU CY 3.23 data files supplied by CRU in October 2015.", "removedDataReason": "", "keywords": "CRU, climate", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2015-10-15T01:27:21", "doiPublishedTime": "2015-11-09T22:47:06", "removedDataTime": null, "geographicExtent": { "ob_id": 513, "bboxName": "CRU High Resolution Grid", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13150, "dataPath": "/badc/cru/data/cru_cy/cru_cy_3.23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 48020200, "numberOfFiles": 2893, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": null, "resultQuality": { "ob_id": 1838, "explanation": "CRU CY is derived directly from the CRU TS dataset, and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21. An advisory note was issued by CRU in July 2013 regarding an issue in the spatial area of Northeast Africa, for the PRE and WET variables only. Details are given in the documentation as part of the archive.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-18" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6676, "uuid": "f300abf12b80415594ab776280307a31", "short_code": "comp", "title": "UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system", "abstract": "This computation involved: UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2014) - see link below." }, "procedureCompositeProcess": null, "imageDetails": [ 103 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6672, "uuid": "b6c783922d1ce68c4293d90caede5bb9", "short_code": "proj", "title": "UEA Climatic Research Unit (CRU) Gridded Datasets production project", "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 8544, 8567 ], "observationcollection_set": [ { "ob_id": 6889, "uuid": "116aed45b5f0d15ddc3b0e753837e8c9", "short_code": "coll", "title": "Climatic Research Unit (CRU): Year-by-Year Variation of Selected Climate Variables by CountrY (CY) v3", "abstract": "The CRU CY datasets consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries. Spatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). The CRU CY datasets produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY is derived directly from the CRU TS dataset and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21 (1901-2012) and the latest version of CRU-CY is v3.26 based on CRU TS v3.26 (1901-2017) for 289 countries. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014)." } ], "responsiblepartyinfo_set": [ 50377, 50375, 50376, 50381, 50382, 50384, 50380, 50379, 50378, 50383, 79197, 168538, 168539 ], "onlineresource_set": [ 7080, 7079, 7078, 23710 ] }, { "ob_id": 13151, "uuid": "5dca9487dc614711a3a933e44a933ad3", "title": "CRU TS3.23: Climatic Research Unit (CRU) Time-Series (TS) Version 3.23 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2014)", "abstract": "The gridded CRU TS (time-series) 3.23 data are month-by-month variations in climate over the period 1901-2014, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nCRU TS 3.23 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2014.\r\n\r\nCRU TS 3.23 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2014 data, some new stations have been added for TMP and PRE only. Known issues predating this release remain; the 4.00 release, due soon, will address these.\r\n\r\nThe 4.00 release will utilise Angular-Distance Weighting (ADW) gridding, promising more accurate results with far greater adjustability and logging. It will cover the same spatial, temporal and variate spaces as version 3.23 (land areas excluding Antarctica at 0.5°x0.5°, monthly from 1901 to 2014 with no missing values, 10 variables).\r\n\r\nVersions 3.23 and 4.00 will run concurrently until 2016, after which the new (ADW) approach will be used. This is to allow comparisons between the methods and results to be made by users of the dataset.\r\n\r\n\r\nThe CRU TS 3.23 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users. The CEDA Web Processing Service (WPS) may be used to extract a subset of the data (please see link to WPS below).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2017-05-10T09:43:35", "updateFrequency": "notPlanned", "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was produced in July 2013. \r\n\r\nCRU TS 3.22 was produced in July 2014.\r\n\r\nIn October 2015, CRU TS 3.23 provided by CRU, is the latest version available, superseding all previous data versions (which are available to allow user comparisons).", "removedDataReason": "", "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "0.5x0.5 degree grid", "status": "completed", "dataPublishedTime": "2015-10-15T01:24:51", "doiPublishedTime": "2015-11-09T22:54:51", "removedDataTime": null, "geographicExtent": { "ob_id": 513, "bboxName": "CRU High Resolution Grid", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -60.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13152, "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 36603292693, "numberOfFiles": 643, "fileFormat": "The CRU TS 3.23 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.23 metadata files (i.e. stations and observations) are available in ASCII. To understand how to read the CRU TS 3.23 data and metadata files, please refer to the CRU_TS_3.23_File_Formats_explained PDF documentation (under Linked Documentation below). " }, "timePeriod": null, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 6676, "uuid": "f300abf12b80415594ab776280307a31", "short_code": "comp", "title": "UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system", "abstract": "This computation involved: UEA Climatic Research Unit (CRU) High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2014) - see link below." }, "procedureCompositeProcess": null, "imageDetails": [ 103 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 6672, "uuid": "b6c783922d1ce68c4293d90caede5bb9", "short_code": "proj", "title": "UEA Climatic Research Unit (CRU) Gridded Datasets production project", "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 25979, 51981, 52192, 52193, 56251, 56252, 56254, 56255, 56256, 56257, 56258 ], "vocabularyKeywords": [], "identifier_set": [ 8545, 8568 ], "observationcollection_set": [ { "ob_id": 6669, "uuid": "3f8944800cc48e1cbc29a5ee12d8542d", "short_code": "coll", "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3", "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters." } ], "responsiblepartyinfo_set": [ 50385, 50386, 50387, 50392, 50393, 50395, 50391, 50388, 50389, 50394, 50390, 79203, 168524, 168525 ], "onlineresource_set": [ 7084, 7086, 7085, 23709, 95086, 87429, 87430, 87431, 87432, 87433, 87434, 87435, 87436, 87437, 87438, 87439, 87440, 87441, 87442, 87443, 87444, 87445, 87446, 87447, 87448, 87449, 87450, 87451, 87452, 91635, 91636, 91637, 91638, 91639, 91640, 91641, 91642, 91643, 91644, 91645, 91646, 91647, 91648, 91649 ] }, { "ob_id": 13162, "uuid": "6d39f49d9ce24836b16cf6ecad1f8ae6", "title": "NOC 1.1a: Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a)", "abstract": "This dataset contains the adjusted climatological monthly mean files of air-sea fluxes (heat fluxes only) on a global grid in netCDF format produced at the National Oceanography Centre (NOC). \r\n\r\nIt was produced by the NERC COAPEC thematic programme project using inverse analysis techniques to remove the global ocean heat budget imbalance of 30 Wm-2 that was present in the NOC1.1 flux climatology.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nlatent heat flux (hfls), \r\nnet heat flux (hfns), \r\nsensible heat flux (hfss), \r\nnet longwave flux (rls), \r\nnet shortwave flux (rss).\r\n\r\nUnits are W/m2.\r\n\r\nThe flux fields were originally derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-09-08T12:33:09", "updateFrequency": "notPlanned", "dataLineage": "Data is provided by NOCS (National Oceanography Centre, Southampton) to the BADC for archiving.", "removedDataReason": "", "keywords": "SOC, NOCS, NOC1.1a, NOC, ocean, heat flux, air-sea interaction", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1 x 1 degree grid", "status": "completed", "dataPublishedTime": "2014-09-22T03:50:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13163, "dataPath": "/badc/nocs_flux/data/noc1.1a", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9478352, "numberOfFiles": 8, "fileFormat": "File format is COARDS compliant netCDF. Files are compressed (.Z)." }, "timePeriod": { "ob_id": 3584, "startTime": "1973-01-01T00:00:00", "endTime": "2005-12-31T00:00:00" }, "resultQuality": { "ob_id": 1417, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 156 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 5441, "uuid": "e22b91c35015d34116078ccc25b5026e", "short_code": "proj", "title": "Coupled Ocean Atmosphere and European Climate (COAPEC) NERC Research Programme", "abstract": "COAPEC is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The BADC is the primary distribution data centre for COAPEC. Data sets available under COAPEC include 100 year (2079 - 2178) full fields and 1000 year (1849-2849) limited fields of the Hadley Centre HadCM3 model." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21888, 21892, 21900, 25891 ], "vocabularyKeywords": [], "identifier_set": [ 8550 ], "observationcollection_set": [ { "ob_id": 5455, "uuid": "23443335e20d25df00ab67880b10c31c", "short_code": "coll", "title": "NOCS (National Oceanography Centre, Southampton) Flux Datasets: marine surface meteorology, freshwater and heat fluxes.", "abstract": "The National Oceanography Centre Southampton (NOCS) produced a collection of Surface Flux Datasets which contains estimates of the following parameters (including uncertainty) on a 1° monthly mean grid for the global ice-free ocean:\r\n\r\n- Air temperature (at 10 m)\r\n- Specific Humidity (at 10 m)\r\n- Wind Speed (at 10 m)\r\n- Sea level pressure\r\n- Sea surface temperature (bulk)\r\n\r\n- Latent heat flux\r\n- Sensible heat flux\r\n- Net longwave radiation\r\n- Net shortwave radiation\r\n\r\nThe datasets are:\r\n\r\nNOC1.1 - National Oceanography Centre Surface Flux Climatology (version 1.1) - 1973-2005\r\nNOC1.1a - Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a) -1973-2005\r\nNOC2.0 - National Oceanography Centre Surface Flux Climatology (version 2.0) - 1973-\r\n\r\nNote that the NOC1 climatology was previously referred to as the Southampton Oceanography Centre (SOC) flux climatology and was renamed when the SOC became the NOC. The SOC climatology existed in two versions: the 'Original' set of fields and an 'Adjusted' set in which closure of the ocean heat budget was achieved using inverse analysis. These have now become:\r\n\r\nNOC1.1 - Previously the 'Original' SOC climatology including Heat flux and wind stress fields, Freshwater flux fields and Meteorological fields\r\n\r\nNOC1.1a - Previously the 'Adjusted' SOC climatology (climatological monthly fields) including Heat flux fields only.\r\n\r\nThese data can be used for many purposes, including assessing the performance of numerical models, assessing the measurements we get from satellites and understanding how the ocean and atmosphere interact in recent decades.\r\n\r\nFor background information on Heat Fluxes, please see links under Docs.\r\n\r\nFunding has been received from the Hadley Centre, UK Meteorological Office for the production and analysis of this collection of data." } ], "responsiblepartyinfo_set": [ 50455, 50454, 50458, 50459, 50460, 50462, 50456, 50457, 50461, 55465, 169574 ], "onlineresource_set": [ 7108, 7109, 7110 ] }, { "ob_id": 13165, "uuid": "6013826d522b4682823f757f9244e6c3", "title": "Weybourne Atmospheric Observatory: Longterm meteorological measurements 2002-present", "abstract": "Longterm Meteorological observations (temperature, relative humidity, pressure, wind speed and direction, solar irradiance) at the Weybourne Atmospheric Observatory (WAO). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2021-08-26T15:15:28", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the station manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, Meteorology, WAO, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2002-01-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13166, "dataPath": "/badc/weybourne/data/met", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1381395266, "numberOfFiles": 267, "fileFormat": "Data are NASA Ames formatted." }, "timePeriod": { "ob_id": 1089, "startTime": "2002-03-31T23:00:00", "endTime": "2013-12-01T00:00:00" }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. Future revision of the data should contain quality flags", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 3822, "uuid": "eaa93118ad864be5bd7c028067dba668", "short_code": "acq", "title": "Acquisition Process for: Weybourne Meteorology data 2002-present", "abstract": "The Weybourne Atmospheric Observatory (WAO) is part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The WAO has also been the focus of many international experiments designed to into the chemistry of the planetary boundary layer and free troposphere. WAO is an NCAS facility. The dataset contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data and sonic anemometer data." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1633, 6114, 6120, 6645, 6646, 11961, 11962, 11963, 11964, 11965, 11967, 11968, 11969, 11970, 11971, 11972, 22987, 22990, 22991, 23015, 23016, 23020, 23022, 23024, 23037, 23038, 24294, 25163, 25164, 25165, 25166, 25167, 25168 ], "vocabularyKeywords": [], "identifier_set": [], "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": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." } ], "responsiblepartyinfo_set": [ 50470, 50471, 50469, 50473, 50474, 50475, 50476, 50472 ], "onlineresource_set": [ 7258, 7262 ] }, { "ob_id": 13168, "uuid": "e968e9bce2b944509f86e2a900523f58", "title": "Weybourne Atmospheric Observatory: Long term measurements of Nitrogen Oxides (ANNOX instrument)", "abstract": "Long term measurements of Nitrogen Oxides NO, NOx, by the ANNOX instrument at the Weybourne Atmospheric Observatory (WAO). WAO is part of the School of Environmental Sciences at the University of East Anglia (UEA). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-03-14T09:02:28", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the station manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, WAO, NOx, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2003-01-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13169, "dataPath": "/badc/weybourne/data/annox/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 142374113, "numberOfFiles": 1408, "fileFormat": "Data are csv formatted." }, "timePeriod": { "ob_id": 3590, "startTime": "2003-01-01T00:00:00", "endTime": "2011-10-31T23:59:59" }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. 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" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. 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The dataset contains O2 data." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 7424, 7431, 7439, 7440, 7459, 11901, 11902, 11903, 11912, 12053, 12055 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." } ], "responsiblepartyinfo_set": [ 50522, 50523, 50525, 50526, 50527, 50528, 50521, 50524 ], "onlineresource_set": [ 7132, 7259 ] }, { "ob_id": 13183, "uuid": "8c123cffa4ba4ec4afc1221ffb37a92b", "title": "Weybourne Atmospheric Observatory: Sonic Anemometer measurements", "abstract": "Observations of Wind Velocity, Wind Direction, Temperature, Heat Flux and Momentum Flux measured by the sonic anemometer instrument at the Weybourne Atmospheric Observatory (WAO). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-12-12T08:54:28", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the station manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, WAO, Sonic, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-01-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13184, "dataPath": "/badc/weybourne/data/sonic/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5162208, "numberOfFiles": 36, "fileFormat": "Data are csv formatted." }, "timePeriod": { "ob_id": 3593, "startTime": "2009-01-01T00:00:00", "endTime": "2011-11-30T23:59:59" }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. Future revision of the data should contain quality flags", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 13190, "uuid": "8540ce8ef8ce4f98895a92d069fc972a", "short_code": "acq", "title": "Acquisition Process for: Weybourne Sonic atmospheric data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The dataset contains Sonic data, such as Wind Velocity, Wind Direction, Temperature, Heat Flux and Momentum Flux." }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 13200, 21769, 25388, 25891 ], "vocabularyKeywords": [], "identifier_set": [], "observationcollection_set": [ { "ob_id": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." } ], "responsiblepartyinfo_set": [ 50535, 50536, 50534, 50538, 50539, 50540, 50541, 50537 ], "onlineresource_set": [ 7135, 7267 ] }, { "ob_id": 13186, "uuid": "812463ca46724716b73f31a9f4ccf4d9", "title": "Weybourne Atmospheric Observatory: NAME atmospheric dispersion model footprints or air arriving at WAO.", "abstract": "The composition of the air present over the Weybourne Atmospheric Observatory (WAO), situated on the north Norfolk coast, depends on its origins. Plots showing the footprints of 10 day back trajectories arriving at WAO have been calculated using the UK Met Office's NAME Lagrangian atmospheric dispersion model.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-07-09T16:43:58", "updateFrequency": "", "dataLineage": "Data is collected at the Weybourne Atmospheric Observatory (WAO), which operates a range of instruments in its measurement programme. After collection, data is processed and formatted by the station manager, then uploaded as is to BADC", "removedDataReason": "", "keywords": "Weybourne Atmospheric Observatory, WAO, NAME, AMF", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2002-01-01T00:00:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 69, "bboxName": "", "eastBoundLongitude": 1.01, "westBoundLongitude": 1.01, "southBoundLatitude": 52.95, "northBoundLatitude": 52.95 }, "verticalExtent": null, "result_field": { "ob_id": 13188, "dataPath": "/badc/weybourne/data/name-footprints", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9456756906, "numberOfFiles": 82659, "fileFormat": "Data are csv formatted. Images are PNG formatted." }, "timePeriod": { "ob_id": 3525, "startTime": "2008-03-06T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 951, "explanation": "Data quality has been logged separately contact the WAO manager for details. Future revision of the data should contain quality flags", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13251, "uuid": "20f1d00932ec4e3ead089be843818333", "short_code": "comp", "title": "Weybourne Name Footprint atmospheric data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The dataset contains NAME dispersion model footprints- Please notify Zoe Fleming if any of these plots will be used in presentations and publications" }, "procedureCompositeProcess": null, "imageDetails": [ 56 ], "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": 12057, "uuid": "01784d343c441f4e86064cd772fcb8a2", "short_code": "proj", "title": "Weybourne Atmospheric Observatory (WAO)", "abstract": "WAO is a coastal site located on the North Norfolk coastline near Weybourne. Over the last ten years the Weybourne Atmospheric Observatory (WAO) has become established as a world class facility at which fundamental research, background monitoring and teaching have all been successfully carried forward. WAO has been the focus of many international experiments designed to look into the chemistry of the free troposphere and the planetary boundary layer. \r\n\r\nThe Observatory is located at 52°57'01.5\"N 1°07'19\"E\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [], "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": 3818, "uuid": "36517548500e1e4e85c97d99457e268a", "short_code": "coll", "title": "Weybourne Atmospheric Observatory (WAO): surface meteorology and atmospheric chemistry data", "abstract": "The Weybourne Atmospheric Observatory (WAO) is a Regional station in the Global Atmosphere Watch (GAW) programme of the World Meteorological Organization (WMO). It is situated on the North Norfolk coast (52°57’02’’N, 1°07’19’’E, 15 m asl). \r\n\r\nThe dataset collection contains meteorological data such as wind speed, wind direction, humidity, atmospheric pressure, solar irradiance and net irradiance, SoDAR wind profiler data, sonic anemometer data, and Chemistry data such as ozone, carbon monoxide and oxides of nitrogen gas chromatograms for measurements of VOC's and GHG's (Volatile Organic Compounds / Green-House Gases, respectively. In addition, cloud condensation nuclei measurements are available.\r\n\r\nOver the years the parameters measured at Weybourne have varied according to the funding and/or scientific interests and requirements. There have been continuous measurements of ozone, as part of the Defra network, and basic meteorological parameters. There are many years of CO, NOx, NOy, SO2, CN, VOC and H2 data. In 2007 a long term monitoring programme for CO2 and O2 began. In 2012 a new greenhouse gas GC was set up and measurements of CH4 started. This has been developed to also include measurements of N2O and SF6. In 2017 a state-of-the-art Fourier Transform Infrared Spectrometer (FTRI) was added to Weybourne to give very high precision measurements of additional CO2, CH4, N2O and CO. \r\n\r\nThrough the introduction of the FTIR to Weybourne in 2017, the site now forms part of the UK’s commitment to the EU funded Integrated Carbon Observation System (ICOS). This is a pan-European Research Infrastructure that provides very high quality, harmonised data on the cycles of carbon and other greenhouse gases. Through ICOS Weybourne has been at the forefront of instrument testing and has been fundamental in getting the FTIR instrument approved on the network. \r\n\r\nAs well as being the only UK atmospheric station within the ICOS network and part of the Defra ozone network (AURN), Weybourne has been / is part of the Defra TOMPS network (atmospheric toxic organic samplers), a Defra CH4 network, the EU InGOS network (Integrated non-CO2 Greenhouse gas Observing System) and is now contributing measurements to the NERC funded MOYA and DARE-UK projects." } ], "responsiblepartyinfo_set": [ 50547, 50545, 50552, 50546, 50549, 50550, 50551, 50548 ], "onlineresource_set": [ 7136, 7266 ] }, { "ob_id": 13201, "uuid": "21b5b970a6844d72afa4b2c551944d9b", "title": "NOCS 2.0: National Oceanography Centre Southampton Surface Flux Climatology (version 2.0)", "abstract": "The National Oceanography Centre Southampton (NOCS) Version 2.0 Surface Flux Dataset is a monthly mean gridded dataset of marine surface measurements and derived fluxes constructed using optimal interpolation. Input for the period 1973 to 2006 are ICOADS Release 2.4 ship data, the update from 2007 to 2014 uses ICOADS Release 2.5 and data after 2007 are preliminary. The dataset is presented as a time series of monthly mean values on a 1 degree area grid. \r\nThe quality of the gridded data is quantified by estimates of random, bias and total uncertainty. The monthly means were derived from daily estimates of each variable and the standard deviation of these daily values is also available. Please see nocs2_variable_defs document for detailed variable information. Users are advised to take account of the uncertainty estimates provided, and to note that in very poorly sampled regions, such as the Southern Ocean, the uncertainty estimates themselves may be unreliable.\r\n\r\nSurface meteorological fields have been adjusted to account for varying measurement heights and for known biases (Berry and Kent 2009, Berry and Kent 2011). Surface fluxes have been calculated from daily fields of the surface meteorological parameters using bulk parameterisations (Reed 1977; Clark et al. 1974; Smith 1980; 1988).\r\n\r\nThe NOCS v2.0 flux dataset was funded by the Oceans2025 project.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-05-01T15:34:37", "updateFrequency": "unknown", "dataLineage": "Data is provided by NOCS (National Oceanography Centre, Southampton) to the BADC for archiving.", "removedDataReason": "", "keywords": "SOC, NOCS, NOC1.1, NOC, ocean, freshwater, winstress, heat flux, air-sea interaction", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "1 x 1 degree grid", "status": "completed", "dataPublishedTime": "2014-09-22T03:51:07", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 13202, "dataPath": "/badc/nocs_flux/data/noc2.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9406205011, "numberOfFiles": 457, "fileFormat": "File format is COARDS compliant netCDF. " }, "timePeriod": { "ob_id": 3585, "startTime": "1973-01-01T00:00:00", "endTime": "2014-12-31T23:59:59" }, "resultQuality": { "ob_id": 1417, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 156 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 13164, "uuid": "ce252c81a7bd4717834055e31716b265", "short_code": "proj", "title": "Met Office Hadley Centre - Observations and Climate", "abstract": "The Met Office Hadley Centre is one of the UK's foremost climate change research centres.\r\n\r\nThe Hadley Centre produces world-class guidance on the science of climate change and provide a focus in the UK for the scientific issues associated with climate science.\r\n\r\nLargely co-funded by Department of Energy and Climate Change (DECC) and Defra (the Department for Environment, Food and Rural Affairs), the centre provides in-depth information to, and advise, the Government on climate science issues.\r\n\r\nAs one of the world's leading centres for climate science research, the Hadley Centre scientists make significant contributions to peer-reviewed literature and to a variety of climate science reports, including the Assessment Report of the IPCC. The Hadley Centre climate projections were the basis for the Stern Review on the Economics of Climate Change." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 4385, 11990, 11991, 21900, 52685, 52686, 52687, 52688, 52689, 52690, 52691, 52692, 52693, 52694, 52695, 52696, 52697, 52698, 52699, 52700, 52701, 52702, 52703, 52704, 52705, 52706, 52707, 52708, 52709, 52710, 52711, 52712, 52713, 52714, 52715, 52716, 52717, 52718, 52719, 52720, 52721, 52722, 52723, 52724, 52725, 52726, 52727, 52728, 52729, 52730, 52731, 52732, 52733, 52734, 52735, 52736, 52737, 52738, 52739, 52740 ], "vocabularyKeywords": [], "identifier_set": [ 8552 ], "observationcollection_set": [ { "ob_id": 5455, "uuid": "23443335e20d25df00ab67880b10c31c", "short_code": "coll", "title": "NOCS (National Oceanography Centre, Southampton) Flux Datasets: marine surface meteorology, freshwater and heat fluxes.", "abstract": "The National Oceanography Centre Southampton (NOCS) produced a collection of Surface Flux Datasets which contains estimates of the following parameters (including uncertainty) on a 1° monthly mean grid for the global ice-free ocean:\r\n\r\n- Air temperature (at 10 m)\r\n- Specific Humidity (at 10 m)\r\n- Wind Speed (at 10 m)\r\n- Sea level pressure\r\n- Sea surface temperature (bulk)\r\n\r\n- Latent heat flux\r\n- Sensible heat flux\r\n- Net longwave radiation\r\n- Net shortwave radiation\r\n\r\nThe datasets are:\r\n\r\nNOC1.1 - National Oceanography Centre Surface Flux Climatology (version 1.1) - 1973-2005\r\nNOC1.1a - Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a) -1973-2005\r\nNOC2.0 - National Oceanography Centre Surface Flux Climatology (version 2.0) - 1973-\r\n\r\nNote that the NOC1 climatology was previously referred to as the Southampton Oceanography Centre (SOC) flux climatology and was renamed when the SOC became the NOC. The SOC climatology existed in two versions: the 'Original' set of fields and an 'Adjusted' set in which closure of the ocean heat budget was achieved using inverse analysis. 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Future updates will be made to the RGI and the GLIMS Glacier Database in parallel during a transition period. As all these data are incorporated into the GLIMS Glacier Database and as download tools are developed to obtain GLIMS data in the RGI data format, the RGI will evolve into a downloadable subset of GLIMS, offering complete one-time coverage, version control, and a standard set of attributes.\r\n\r\nThe product provided here is a converted raster version of the Randolph Glacier Inventory (RGI 5.0) data, provided by the ESA Climate Change Initiative (CCI) Glaciers project. The CCI Glaciers project is one of a number of contributors to the RGI 5.0 dataset. For more details, and for a complete list of contributors, please see the RGI 5.0 Technical Report in the Documentation section below.\r\n\r\nThe following reference is recommended when citing RGI version 5.0:\r\nArendt, A., A. Bliss, T. Bolch, J.G. Cogley, A.S. Gardner, J.-O. Hagen, R. Hock, M. Huss, G. Kaser, C. Kienholz, W.T. Pfeffer, G. Moholdt, F. Paul, V. Radić, L. Andreassen, S. Bajracharya, N.E. Barrand, M. Beedle, E. Berthier, R. Bhambri, I. Brown, E. Burgess, D. Burgess, F. Cawkwell, T. Chinn, L. Copland, B. Davies, H. De Angelis, E. Dolgova, L. Earl, K. Filbert, R. Forester, A.G. Fountain, H. Frey, B. Giffen, N. Glasser, W.Q. Guo, S. Gurney, W. Hagg, D. Hall, U.K. Haritashya, G. Hartmann, C. Helm, S. Herreid, I. Howat, G. Kapustin, T. Khromova, M. König, J. Kohler, D. Kriegel, S. Kutuzov, I. Lavrentiev, R. LeBris, S.Y. Liu, J. Lund, W. Manley, R. Marti, C. Mayer, E.S. Miles, X. Li, B. Menounos, A. Mercer, N. Mölg, P. Mool, G. Nosenko, A. Negrete, T. Nuimura, C. Nuth, R. Pettersson, A. Racoviteanu, R. Ranzi, P. Rastner, F. Rau, B. Raup, J. Rich, H. Rott, A. Sakai, C. Schneider, Y. Seliverstov, M. Sharp, O. Sigurðsson, C. Stokes, R.G. Way, R. Wheate, S. Winsvold, G. Wolken, F. Wyatt, N. Zheltyhina, 2015, Randolph Glacier Inventory – A Dataset of Global Glacier Outlines: Version 5.0. Global Land Ice Measurements from Space, Boulder Colorado, USA. 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BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 52450, 50911, 50912, 51073, 75215, 104838, 105043, 105231, 51072, 50910 ], "onlineresource_set": [ 7653, 7654, 7674, 7652, 16495, 7420 ] } ] }