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The data provided here are atmospheric hydrogen concentration measurements from Egham, Surrey, UK, that were recorded throughout the project. \r\n\r\nNERC grant NE/X011976/1 - New ways of measuring atmospheric hydrogen: paving the way for hydrogen leak quantification"}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218268,218269,218270,218271,218272,218273,218278,218279,218280,218281,218282],"onlineresource_set":[]},{"ob_id":45675,"uuid":"74186901e2fa445cafca72141f3630f1","title":"Estimated monthly water levels across a subset region of the Congo Basin peatlands (2019 to 2020)","abstract":"These data include estimates of the monthly water levels across a subset region of the Congo Basin peatland complex for the period March 2019 to October 2020. \r\n\r\nFilenames beginning with 'WL_monthly' contain the monthly minimum, maximum, mean, and standard deviation of the estimated daily water levels for a subset of the Cuvette Centrale region in the Central Congo Basin.\r\n\r\nFilenames beginning with just 'WL_' contain the minimum, maximum, mean, and standard deviation of the estimated daily water levels over the 20-month study period, March 2019 to October 2020.\r\n\r\nDetails of the method used to produce these data are included in the article: Georgiou, S., Mitchard, E. T. A., Crezee, B., Dargie, G. C., Young, D. M., Jovani-Sancho, A. J., Kitambo, B., Papa, F., Bocko, Y. E., Bola, P., Crabtree, D. E., Emba, O. B., Ewango, C. E. N., Girkin, N. T., Ifo, S. A., Kanyama, J. T., Mampouya, Y. E. W., Mbemba, M., Ndjango, J.-B. N., ... Lewis, S. L. (2023). Mapping Water Levels across a Region","creationDate":"2026-03-12T22:23:15.887603","lastUpdatedDate":"2026-03-12T22:25:16.035765","latestDataUpdateTime":"2026-03-12T22:23:15.887608","updateFrequency":"notPlanned","dataLineage":"Details of the method used to produce these data are included in the article: Georgiou, S., Mitchard, E. T. A., Crezee, B., Dargie, G. C., Young, D. M., Jovani-Sancho, A. J., Kitambo, B., Papa, F., Bocko, Y. E., Bola, P., Crabtree, D. E., Emba, O. B., Ewango, C. E. N., Girkin, N. T., Ifo, S. A., Kanyama, J. T., Mampouya, Y. E. W., Mbemba, M., Ndjango, J.-B. N., ... Lewis, S. L. (2023). 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The dataset is the global ocean model output for the years 1958-2023. The experimental design was developed by Amber Walsh and colleagues at the National Oceanography Centre (NOC), in collaboration with researchers at the National Center for Atmospheric Research (NCAR). Monthly output is provided at 1 degree and 0.25 degree horizontal resolution for four experiments: (i) interannual momentum flux forcing, (ii) interannual buoyancy flux forcing, (iii) fully interannually forced control (IAF), and (iv) repeat-year forcing (RYF), which excludes forced interannual variability. A wide range of ocean state variables are available for each experiment. All model runs were conducted with the NEMO ocean model using a modified NOC Near Present Day configuration.","creationDate":"2026-03-23T14:06:05.661190","lastUpdatedDate":"2026-03-23T14:06:05","latestDataUpdateTime":"2026-03-23T14:06:05","updateFrequency":"","dataLineage":"The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.","removedDataReason":"","keywords":"climatologyMeteorologyAtmosphere, inlandWaters, oceans, geoscientificInformation, planningCadastre","publicationState":"citable","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"final","dataPublishedTime":"2026-03-09T00:00:00","doiPublishedTime":"2026-03-09T00:00:00","removedDataTime":null,"geographicExtent":{"ob_id":5115,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-80.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45689,"dataPath":"/bodc/soc260019","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":12676956297112,"numberOfFiles":38020,"fileFormat":"netCDF files and readme text file"},"timePeriod":{"ob_id":13067,"startTime":"1958-01-01T00:00:00","endTime":"2023-12-31T23:59:59"},"resultQuality":{"ob_id":4880,"explanation":"The data are provided as-is with no quality control undertaken by the British Oceanographic Data Centre (BODC). The data suppliers have not indicated if any quality control has been undertaken on these data.","passesTest":true,"resultTitle":"BODC Data Quality Statement","date":"2026-03-23"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"permissions":[],"projects":[],"inspireTheme":[],"topicCategory":[],"phenomena":[27692,27702,27703,36269,36270,49688,50612,50623,50624,52949,52960,52977,54483,59641,59645,59646,59647,59649,59655,59657,59658,59660,59665,59669,59671,59673,59682,59683,59692,59693,59694,59698,59779,59781,59785,59787,59788,59789,59791,59792,60131,60135,60148,62271,62272,62275,62276,62284,63050,63051,63053,63054,63055,63056,63057,63058,63062,63063,63065,63066,63068,63070,63071,63073,63074,63075,63079,63080,63081,63082,63083,63084,63085,63086,63087,63088,63089,63090,63091,63092,63093,63094,63095,63096,63097,63100,63101,63102,63103,63104,63105,63106,63108,63109,63111,63112,63118,63119,63120,63121,63122,63123,63131,64130,64131,75346,75347,75348,75349,75351,75353,75354,75357,75359,75373,75393,75394,75396,75398,75399,75400,75401,75404,75406,75408,75409,75410,75412,75414,75417,75420,75423,75424,75425,75427,91349,93056,93057,93058,93059,93060,93061,93062,93063,93064,93065,93066,93067,93068,93069,93070,93071,93072,93073,93074,93075,93076,93077,93078,93079,93080,93081,93082,93083,93084,93085,93086,93087,93088,93089,93090,93091,93092,93093,93094,93095,93096,93097,93098,93099,93100,93101,93102,93103,93104,93105,93106,93107,93108,93109,93110,93111,93112,93113,93114,93115,93116,93117,93118,93119,93120],"vocabularyKeywords":[],"identifier_set":[13765],"observationcollection_set":[],"responsiblepartyinfo_set":[218324,218326,218325,218323,218322,218321,218327,218328,218329,218330,218331,218332],"onlineresource_set":[]},{"ob_id":45682,"uuid":"47e755607fbe4173879348bf960d06b8","title":"Ozone Monitoring Instrument (OMI) L3 tropospheric NO2 Dataset (10/2004-03/2021) version 1.0","abstract":"Ozone Monitoring Instrument (OMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from October 2004 to March 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxiliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution. The data were produced in the context of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). doi: 10.21944/cci-no2-omi-l3","creationDate":"2026-03-23T14:16:25.976482","lastUpdatedDate":"2026-03-23T14:16:25.976485","latestDataUpdateTime":"2026-03-23T14:16:25.976487","updateFrequency":"notPlanned","dataLineage":"Data were generated by spatiotemporally averaging operational OMI L2 NO2 QA4ECV version 1 data.","removedDataReason":"","keywords":"","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5116,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":null,"timePeriod":{"ob_id":13068,"startTime":"2004-10-01T00:00:00","endTime":"2021-03-03T00:00:00"},"resultQuality":{"ob_id":4881,"explanation":"The L3 data were validated against independent ground-based NO2 measurements in the context of the ESA CCI+ precursors for aerosols and ozone project.","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2026-03-23"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45683,"uuid":"1aea365924494bcf984c42c2218d5002","short_code":"acq","title":"Acquisition for: Ozone Monitoring Instrument (OMI) L3 tropospheric NO2 Dataset (10/2004-03/2021) version 1.0","abstract":""},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"permissions":[],"projects":[],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218333,218334,218335,218336,218337,218338,218339,218340,218341,218342,218343],"onlineresource_set":[95333,95334,95335,95336,95337]},{"ob_id":45684,"uuid":"5f96494ac0e349c78698bf6c5c715f53","title":"Ozone Monitoring Instrument (OMI) global monthly L3 tropospheric NO2 dataset version 1.0 (2004-2021)","abstract":"Ozone Monitoring Instrument (OMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from October 2004 to March 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxiliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution. The data were produced in the context of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). doi: 10.21944/cci-no2-omi-l3","creationDate":"2026-03-23T14:19:20.191904","lastUpdatedDate":"2026-03-23T14:22:11.572009","latestDataUpdateTime":"2026-03-23T14:19:20.191908","updateFrequency":"notPlanned","dataLineage":"Data were generated by spatiotemporally averaging operational OMI L2 NO2 QA4ECV version 1 data.","removedDataReason":"","keywords":"OMI,L3,NO2,CCI","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5117,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":null,"timePeriod":{"ob_id":13072,"startTime":"2004-10-01T00:00:00","endTime":"2021-03-30T00:00:00"},"resultQuality":{"ob_id":4883,"explanation":"The L3 data were validated against independent ground-based NO2 measurements in the context of the ESA CCI+ precursors for aerosols and ozone project.","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2026-03-23"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45685,"uuid":"dbfc095347cb498f8e0405c6a376e777","short_code":"acq","title":"Acquisition for: Ozone Monitoring Instrument (OMI) global monthly L3 tropospheric NO2 dataset version 1.0 (2004-2021)","abstract":""},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"permissions":[],"projects":[],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218345,218346,218347,218348,218349,218350,218351,218352,218353,218354,218355],"onlineresource_set":[95338,95339,95340,95341,95342]},{"ob_id":45686,"uuid":"0065ceb2b1ff4f40b2a1e961faef2b77","title":"Ozone Monitoring Instrument (OMI) global monthly dataset of tropospheric NO2 (2004-2021) version 1.0","abstract":"Ozone Monitoring Instrument (OMI) global tropospheric nitrogen dioxide (NO2) spatiotemporally averaged per month over a standard grid from October 2004 to March 2021. The dataset is provided in four different spatial resolutions: 0.2x0.2 (900x1800 grid cells), 0.5x0.5 (360x720), 1x1 (180x360), 2x2.5 (91x144) and includes auxiliary variables (e.g. cloud and surface properties, propagated level 3 uncertainties, averaging kernels). The data are provided in monthly netCDF files for each spatial resolution. The data were produced in the context of the European Space Agency (ESA) Climate Change Initiative+ (CCI+) precursors for aerosols and ozone project by the Royal Netherlands Meteorological Institute (KNMI). doi: 10.21944/cci-no2-omi-l3","creationDate":"2026-03-25T13:53:42.666597","lastUpdatedDate":"2026-03-25T13:53:42.666600","latestDataUpdateTime":"2026-03-25T13:53:42.666602","updateFrequency":"notPlanned","dataLineage":"Data were generated by spatiotemporally averaging operational OMI L2 NO2 QA4ECV version 1 data.","removedDataReason":"","keywords":"cci,no2,L3,nitrogen dioxide,omi","publicationState":"preview","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5118,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":null,"timePeriod":{"ob_id":13073,"startTime":"2004-10-01T00:00:00","endTime":"2021-03-30T00:00:00"},"resultQuality":{"ob_id":4884,"explanation":"The L3 data were validated against independent ground-based NO2 measurements in the context of the ESA CCI+ precursors for aerosols and ozone project.","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2026-03-25"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45687,"uuid":"19b697d2d5e04244b796fdd55c2a5786","short_code":"acq","title":"Acquisition for: Ozone Monitoring Instrument (OMI) global monthly dataset of tropospheric NO2 (2004-2021) version 1.0","abstract":""},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"permissions":[],"projects":[],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218357,218358,218359,218360,218361,218362,218363,218364,218365,218366,218367],"onlineresource_set":[95343,95344,95345,95346,95347]},{"ob_id":45691,"uuid":"8de7d74606fe4413890a0788fb33e964","title":"NERC-ARF flight 2017_172 for ES17_126: Airborne remote sensing measurements","abstract":"Airborne remote sensing measurements collected on 21 June 2017 by the Natural Environment Research Council's Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter aircraft for the NERC-ARF ES17_126 Project (flight reference: 2017_172). This dataset comprises: digital photography data collected using a Leica RCD105 camera, hyperspectral data collected using a Specim Aisa FENIX imager and hyperspectral data collected using a Specim Aisa OWL imager.\r\n\r\nData were collected over the Alto Tajo, Spain area.","creationDate":"2026-03-31T14:43:01.347462","lastUpdatedDate":"2026-03-31T14:43:01","latestDataUpdateTime":"2026-03-31T14:43:01","updateFrequency":"notPlanned","dataLineage":"Data were collected and processed by the NERC-ARF facility and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.","removedDataReason":"","keywords":"ES17_126, ES17/126, aircraft, hyperspectral, remote sensing, NERC-ARF, ARSF","publicationState":"citable","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":"2026-03-31T15:24:13","doiPublishedTime":"2026-03-31T15:30:54","removedDataTime":null,"geographicExtent":{"ob_id":5119,"bboxName":"","eastBoundLongitude":-2.192096941111686,"westBoundLongitude":-2.437872103229238,"southBoundLatitude":40.63250003605507,"northBoundLatitude":40.82761093441827},"verticalExtent":null,"result_field":{"ob_id":45692,"dataPath":"/neodc/arsf/2017/ES17_126/ES17_126-2017_172_Alto_Tajo","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":1683360110643,"numberOfFiles":4185,"fileFormat":"Hyperspectral data are ENVI binary, LiDAR data are LAS and aerial photography are TIF formats"},"timePeriod":{"ob_id":13074,"startTime":"2017-06-21T09:01:22","endTime":"2017-06-21T12:33:13"},"resultQuality":{"ob_id":4885,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2026-03-31"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45693,"uuid":"2b9df82318454819a0be8c1613656a99","short_code":"acq","title":"Acquisition for: NERC-ARF 2017_172 - ES17_126 Flight: Airborne remote sensing measurements","abstract":""},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"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":26109,"uuid":"7d9244bdfac544a8bc77525382966914","short_code":"proj","title":"NERC-ARF ES17_126 Project: Alto Tajo, Spain area","abstract":"Assess the abandonment of traditional forest management. Case of study: 'Alto Tajo' Natural Park, also surveyed in 2011, (1) Map the trajectory of biomass since 2011 (2) Estimate woodland canopy and other vegetation indices from hyperspectral data (3) Measure woodland canopy temperature as a proxy of transpiration. This project used NERC-ARF (NERC Airborne Research Facility) Remote Sensing instruments collected on board the British Antarctic Survey (BAS) Twin-Otter aircraft."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[13766],"observationcollection_set":[{"ob_id":45715,"uuid":"293b18f4c0e348e2a55c46d94e8f2b15","short_code":"coll","title":"NERC Airborne Research Facility (NERC-ARF) Remote Sensing Data","abstract":"Natural Environment Research Council's Airborne Research Facility (NERC-ARF) extends the work of the NERC The Airborne Research & Survey Facility (ARSF) which itself was formerly the Airborne Remote Sensing Facility.  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Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3)."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[{"ob_id":45766,"uuid":"1f0e0b8d35d14ea699a4041b10b4a651","short_code":"coll","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): L3 SO2 products","abstract":"The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 (L3) SO2 product developed by using satellite data as part of the ESA (European Space Agency) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis collection record includes:\r\n- TROPOMI SO2 daily and monthly v1.0\r\n- GOME SO2 monthly v1.0\r\n- OMI SO2 daily and monthly v1.0"}],"responsiblepartyinfo_set":[218537,218538,218539,218540,218541,218542,218543,218547,218545,218546,218544,218548,218549],"onlineresource_set":[95399,95401,95402]},{"ob_id":45726,"uuid":"8a76d9fe4a3f4dcdbf023041ad4dec85","title":"ESA River Discharge Climate Change Initiative (RD_cci): New product 2","abstract":"TBD","creationDate":"2023-12-06T08:01:27.903402","lastUpdatedDate":"2023-12-06T08:00:25","latestDataUpdateTime":null,"updateFrequency":"","dataLineage":"Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.","removedDataReason":"","keywords":"river discharge, CCI, multispectral","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","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":null,"timePeriod":{"ob_id":11887,"startTime":"1999-10-03T00:00:00","endTime":"2023-09-30T23:59:59"},"resultQuality":{"ob_id":4605,"explanation":"For information on data quality see the project documentation","passesTest":true,"resultTitle":"CCI generic","date":"2024-10-09"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":null,"procedureCompositeProcess":{"ob_id":43210,"uuid":"d24707d0fbfa4179bf2c52f652952800","short_code":"cmppr","title":"Composite process for the ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v1.2","abstract":"River discharge (Q) data has been derived in cubic meters per second (m3/s) by the ESA Climate Change Initiative River Discharge project (RD_cci).  These multispectral indices-based river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series.\r\n\r\nThe river discharges are derived following several approaches:\r\n\r\nBestFit: by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCopula: by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nuncalCDF: by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series."},"imageDetails":[111],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":41537,"uuid":"dbba9cfe8d104648b19e39f4c2da1a27","short_code":"proj","title":"ESA River Discharge Climate Change Initiative (RD_cci)","abstract":"The ESA river discharge Climate Change Initiative project aims to derive long term climate data records (at least over 20-years) of river discharge for some selected river basins (and some locations in the river network) using satellite remote sensing observations (altimetry and multispectral images) and ancillary data."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218552,218553,218550,218551,218556,218554,218555,218557,218559,218558,218560],"onlineresource_set":[95405,95406,95407,95404]},{"ob_id":45733,"uuid":"ce2c50c1bb5d47d3a1d6a4558cffa69a","title":"SSP370-126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.","creationDate":"2025-02-04T14:56:03.799450","lastUpdatedDate":"2025-02-04T14:56:19","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/).  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.","removedDataReason":"","keywords":"aerosol, extremes, near-term projections, RAMIP","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":4683,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45734,"dataPath":"/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-126aer","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":243097551204,"numberOfFiles":320,"fileFormat":"NetCDF"},"timePeriod":{"ob_id":12051,"startTime":"2015-01-01T00:00:00","endTime":"2051-02-28T00:00:00"},"resultQuality":{"ob_id":4783,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2025-08-12"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":{"ob_id":44804,"uuid":"b06c8ef6f34f4cd687f14cdec8e6a214","short_code":"comp","title":"GFDL-SPEAR_LO climate model","abstract":"The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg;  360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km,  seaIce: 100 km."},"procedureCompositeProcess":null,"imageDetails":[230],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":43444,"uuid":"4680fd74cf2244ba8476ed2617e3b41f","short_code":"proj","title":"The Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality."}],"inspireTheme":[],"topicCategory":[],"phenomena":[50563,56259,61388,61390,61391,61396,61408,61414,61416,61417,61418,61424,61425,61426,61429,61432,61434,61436,61508,63011,69302,69303,74531,79995,80081,93190,93191,93192,93193,93194,93195,93196,93197,93198,93199,93200,93201],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218575,218576,218577,218578,218579,218580,218581,218582],"onlineresource_set":[95408,95409]},{"ob_id":45735,"uuid":"89ed0d1383f34d48895e7c932516a557","title":"SSP370-NAE126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.","creationDate":"2025-02-04T14:56:03.799450","lastUpdatedDate":"2025-02-04T14:56:19","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/).  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.","removedDataReason":"","keywords":"aerosol, extremes, near-term projections, RAMIP","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":4683,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45736,"dataPath":"/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-nae126aer","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":243097552604,"numberOfFiles":320,"fileFormat":"NetCDF"},"timePeriod":{"ob_id":12051,"startTime":"2015-01-01T00:00:00","endTime":"2051-02-28T00:00:00"},"resultQuality":{"ob_id":4783,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2025-08-12"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":{"ob_id":44804,"uuid":"b06c8ef6f34f4cd687f14cdec8e6a214","short_code":"comp","title":"GFDL-SPEAR_LO climate model","abstract":"The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg;  360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km,  seaIce: 100 km."},"procedureCompositeProcess":null,"imageDetails":[230],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":43444,"uuid":"4680fd74cf2244ba8476ed2617e3b41f","short_code":"proj","title":"The Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality."}],"inspireTheme":[],"topicCategory":[],"phenomena":[50563,56259,61388,61390,61391,61396,61408,61414,61416,61417,61418,61424,61425,61426,61429,61432,61434,61436,61508,63011,69302,69303,74531,79995,80081,93190,93191,93192,93193,93194,93195,93196,93197,93198,93199,93200,93201],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218583,218584,218585,218586,218587,218588,218589,218590],"onlineresource_set":[95410,95411]},{"ob_id":45737,"uuid":"d6eed8410fd549909596bf35debd3514","title":"SSP370-AFR126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.","creationDate":"2025-02-04T14:56:03.799450","lastUpdatedDate":"2025-02-04T14:56:19","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/).  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.","removedDataReason":"","keywords":"aerosol, extremes, near-term projections, RAMIP","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":4683,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45738,"dataPath":"/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-afr126aer","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":243097552604,"numberOfFiles":320,"fileFormat":"NetCDF"},"timePeriod":{"ob_id":12051,"startTime":"2015-01-01T00:00:00","endTime":"2051-02-28T00:00:00"},"resultQuality":{"ob_id":4783,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2025-08-12"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":{"ob_id":44804,"uuid":"b06c8ef6f34f4cd687f14cdec8e6a214","short_code":"comp","title":"GFDL-SPEAR_LO climate model","abstract":"The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg;  360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km,  seaIce: 100 km."},"procedureCompositeProcess":null,"imageDetails":[230],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":43444,"uuid":"4680fd74cf2244ba8476ed2617e3b41f","short_code":"proj","title":"The Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality."}],"inspireTheme":[],"topicCategory":[],"phenomena":[50563,56259,61388,61390,61391,61396,61408,61414,61416,61417,61418,61424,61425,61426,61429,61432,61434,61436,61508,63011,69302,69303,74531,79995,80081,93190,93191,93192,93193,93194,93195,93196,93197,93198,93199,93200,93201],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218591,218592,218593,218594,218595,218596,218597,218598],"onlineresource_set":[95412,95413]},{"ob_id":45739,"uuid":"e75e03852e564f159146a7c65840f06d","title":"SSP370-EAS126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.","creationDate":"2025-02-04T14:56:03.799450","lastUpdatedDate":"2025-02-04T14:56:19","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/).  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.","removedDataReason":"","keywords":"aerosol, extremes, near-term projections, RAMIP","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":4683,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45740,"dataPath":"/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-eas126aer","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":243097552604,"numberOfFiles":320,"fileFormat":"NetCDF"},"timePeriod":{"ob_id":12051,"startTime":"2015-01-01T00:00:00","endTime":"2051-02-28T00:00:00"},"resultQuality":{"ob_id":4783,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2025-08-12"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":{"ob_id":44804,"uuid":"b06c8ef6f34f4cd687f14cdec8e6a214","short_code":"comp","title":"GFDL-SPEAR_LO climate model","abstract":"The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg;  360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km,  seaIce: 100 km."},"procedureCompositeProcess":null,"imageDetails":[230],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":43444,"uuid":"4680fd74cf2244ba8476ed2617e3b41f","short_code":"proj","title":"The Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality."}],"inspireTheme":[],"topicCategory":[],"phenomena":[50563,56259,61388,61390,61391,61396,61408,61414,61416,61417,61418,61424,61425,61426,61429,61432,61434,61436,61508,63011,69302,69303,74531,79995,80081,93190,93191,93192,93193,93194,93195,93196,93197,93198,93199,93200,93201],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218599,218600,218601,218602,218603,218604,218605,218606],"onlineresource_set":[95414,95415]},{"ob_id":45741,"uuid":"7033ce01098b4bd6a2ac3d55c47bb584","title":"SSP370-SAS126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"This record contains data for the SSP370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.","creationDate":"2025-02-04T14:56:03.799450","lastUpdatedDate":"2025-02-04T14:56:19","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/).  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.","removedDataReason":"","keywords":"aerosol, extremes, near-term projections, RAMIP","publicationState":"working","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":4683,"bboxName":"","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45742,"dataPath":"/badc/deposited2026/RAMIP_GFDL_data/NOAA-GFDL/GFDL-SPEAR_LO/ssp370-sas126aer","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":243097552604,"numberOfFiles":320,"fileFormat":"NetCDF"},"timePeriod":{"ob_id":12051,"startTime":"2015-01-01T00:00:00","endTime":"2051-02-28T00:00:00"},"resultQuality":{"ob_id":4783,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2025-08-12"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":{"ob_id":44804,"uuid":"b06c8ef6f34f4cd687f14cdec8e6a214","short_code":"comp","title":"GFDL-SPEAR_LO climate model","abstract":"The GFDL-SPEAR_LO climate model, released in 2018, includes the following components: // aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 1.00 deg; 360 x 180 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: none seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 1.00 deg;  360 x 180 longitude/latitude; 5 layers; 5 thickness categories). // The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km,  seaIce: 100 km."},"procedureCompositeProcess":null,"imageDetails":[230],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":43444,"uuid":"4680fd74cf2244ba8476ed2617e3b41f","short_code":"proj","title":"The Regional Aerosol Model Intercomparison Project (RAMIP)","abstract":"The Regional Aerosol Model Intercomparison Project (RAMIP) will deliver experiments designed to quantify the role of regional aerosol emissions changes in near-term projections. This is unlike any prior MIP, where the focus has been on changes in global emissions and/or very idealised aerosol experiments. Perturbing regional emissions makes RAMIP novel from a scientific standpoint and links the intended analyses more directly to mitigation and adaptation policy issues. From a science perspective, there is limited information on how realistic regional aerosol emissions impact local as well as remote climate conditions. Here, RAMIP will enable an evaluation of the full range of potential influences of realistic and regionally varied aerosol emission changes on near-future climate. From the policy perspective, RAMIP addresses the burning question of how local and remote decisions affecting emissions of aerosols influence climate change in any given region. Here, RAMIP will provide the information needed to make direct links between regional climate policies and regional climate change.\r\n\r\nRAMIP experiments are designed to explore sensitivities to aerosol type and location and provide improved constraints on uncertainties driven by aerosol radiative forcing and the dynamical response to aerosol changes. The core experiments will assess the effects of differences in future global and regional (Africa and the Middle East, East Asia, North America and Europe, and South Asia) aerosol emission trajectories through 2051, while optional experiments will test the nonlinear effects of varying emission locations and aerosol types along this future trajectory. All experiments are based on the shared socioeconomic pathways and are intended to be performed with 6th Climate Model Intercomparison Project (CMIP6) generation models, initialised from the CMIP6 historical experiments, to facilitate comparisons with existing projections. Requested outputs will enable the analysis of the role of aerosol in near-future changes in, for example, temperature and precipitation means and extremes, storms, and air quality."}],"inspireTheme":[],"topicCategory":[],"phenomena":[50563,56259,61388,61390,61391,61396,61408,61414,61416,61417,61418,61424,61425,61426,61429,61432,61434,61436,61508,63011,69302,69303,74531,79995,80081,93190,93191,93192,93193,93194,93195,93196,93197,93198,93199,93200,93201],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218608,218609,218610,218611,218612,218613,218614,218607],"onlineresource_set":[95416,95417]},{"ob_id":45743,"uuid":"6ce92de5f7d4440faed6ffa63ea45132","title":"Images of airborne microplastics collected with Burkard spore traps","abstract":"A Burkard spore trap was used to continuously sample air for 7 days from the roof of Hardy Building at the University of Hull (U.K.) (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 10:00 am on 10/03/2023 and 11:00 am on 18/07/2023 respectively. A second Burkard trap was used for 7 days of sampling at Nelson Mandela University's South Campus in Summerstrand, Gqeberha, S.A. 34° 0'4.66\"S; 25°40'2.40\"E commencing at 13:00 pm on 03/08/2023. The traps were positioned on flat rooftops with the sampling orifice at least 1 m above the roof surface and at least 2 m away from the edge of the building.","creationDate":"2026-04-14T11:15:53.935512","lastUpdatedDate":"2026-04-14T11:15:53.935515","latestDataUpdateTime":"2026-04-14T11:15:53.935517","updateFrequency":"notPlanned","dataLineage":"Data were collected by researchers at the University of Hull and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving","removedDataReason":"","keywords":"Microplastic,Air,Airborne,Pollen,uFTIR,Airborne monitoring","publicationState":"working","nonGeographicFlag":true,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":null,"verticalExtent":null,"result_field":null,"timePeriod":{"ob_id":13094,"startTime":"2023-03-10T00:00:00","endTime":"2026-08-10T00:00:00"},"resultQuality":{"ob_id":4893,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2026-04-14"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45745,"uuid":"e4b9d778b496400db5609a23772cb310","short_code":"acq","title":"Acquisition for: Images of airborne microplastics collected with Burkard spore traps","abstract":""},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":45744,"uuid":"c55be4caa3ac4f99bfb72606058d24ac","short_code":"proj","title":"Development of the first global standard for airborne microplastic monitoring","abstract":"A novel, yet simple, airborne microplastic (MP) sampling approach using global pollen monitoring equipment was applied to identify, characterise and quantify outdoor airborne MPs for the first time."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[218617,218619,218620,218621,218615,218616,218618,218622,218623,218624],"onlineresource_set":[]},{"ob_id":45747,"uuid":"6429d1aafe1e43b9b414e4a5a7f8b903","title":"ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2005-2012 and 2015-2024, v7.0","abstract":"This dataset comprises estimates of forest above-ground biomass (AGB) for the years between 2005 and 2012 and between 2015 and 2024. Examples of AGB change maps have been created for consecutive years (2020-2019) and for a decadal interval (2020-2010). Additionally provided in this version release are aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nA Python tool is newly provided to compute AGB change maps for any pair of AGB maps. \r\n\r\nThe AGB maps are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources, e.g., extended ICESat-2 observations to calibrate retrieval models. A cost function that preserves the temporal features as expressed in the remote sensing data is applied to limit biases between the 2005-2012 and the 2015-2024 AGB maps.\r\n\r\nThe AGB data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots per unit area\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAn AGB change product consists of three sets of maps: the AGB change defined as the difference between two AGB maps, the standard deviation of the AGB change and a quality flag of the AGB change.\r\n\r\nData are provided in both netcdf and geotiff format.\r\n\r\nThis release of the data is version 7. 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Data are available in NetCDF format.\r\n\r\nThe following products are included in this collection:\r\n- GOME NO2 L3 data products version 1.1\r\n- SCIAMACHY NO2 L3 data products version 1.1\r\n- GOME-2 NO2 L3 data products version 1.1"}],"responsiblepartyinfo_set":[218834,218835,218836,218837,218838,218839,218840,218841,218842],"onlineresource_set":[95515,95516,95517]},{"ob_id":45796,"uuid":"3ff20589e41d4fd0a573653bfccb5c59","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning SCIAMACHY NO2 L3 data products, version 1.1","abstract":"This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) onboard the ESA Environmental Satellite (ENVISAT). The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe SCIAMACHY NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.5° × 0.5° and 1.0° × 1.0°.\r\n\r\nThe version number is 1.1. The data are provided in NetCDF format.","creationDate":"2026-02-20T12:06:39.677056","lastUpdatedDate":"2026-02-20T12:03:36","latestDataUpdateTime":null,"updateFrequency":"","dataLineage":"Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).","removedDataReason":"","keywords":"Nitrogen Dioxide, NO2, SCIAMACHY, ENVISAT, Climate Data Record, CDR, CCI","publicationState":"preview","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"pending","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":null,"timePeriod":{"ob_id":13097,"startTime":"2002-08-01T00:00:00","endTime":"2012-03-31T23:59:59"},"resultQuality":{"ob_id":1,"explanation":"See dataset associated documentation","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2012-08-15"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":null,"procedureCompositeProcess":{"ob_id":45755,"uuid":"7b60a7c97ffa4be9b82b2ead6f5b36ee","short_code":"cmppr","title":"Composite process of the gridded nitrogen dioxide (NO2) monthly Level 3 data from SCIAMACHY/ENVISAT","abstract":"Composite process of the gridded nitrogen dioxide (NO2) monthly Level 3 data from SCIAMACHY/ENVISAT"},"imageDetails":[111],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":45106,"uuid":"48df3bc5abf34360b4acf1343c2bbc77","short_code":"proj","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative Project (Precursors CCI)","abstract":"The European Space Agency (ESA) Precursors for Aerosols and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3)."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[{"ob_id":45366,"uuid":"3466e9e3e72144e5941b35decb36c13a","short_code":"coll","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection, version 1.1","abstract":"This dataset collection is comprised of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project morning NO2 (nitrogen dioxide) Level 3 (L3) data products.\r\n\r\nThe version number is 1.1. Data are available in NetCDF format.\r\n\r\nThe following products are included in this collection:\r\n- GOME NO2 L3 data products version 1.1\r\n- SCIAMACHY NO2 L3 data products version 1.1\r\n- GOME-2 NO2 L3 data products version 1.1"}],"responsiblepartyinfo_set":[218843,218844,218845,218846,218847,218848,218849,218850,218851],"onlineresource_set":[95518,95519,95520]},{"ob_id":45797,"uuid":"957f47cdeebc440ead90b3ad58c455d5","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products, version 1.1","abstract":"This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the EUMETSAT's Meteorological Operational satellites MetOp-A, MetOp-B, and MetOp-C. The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe GOME-2 NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.2° × 0.2° and 0.5° × 0.5°.\r\n\r\nProducts included in this collection are:\r\n-\tGOME-2/MetOp-A NO2 Level 3 product\r\n-\tGOME-2/MetOp-B NO2 Level 3 product\r\n-\tGOME-2/MetOp-C NO2 Level 3 product\r\n\r\nThe version number is 1.1. The data are provided in NetCDF format.","creationDate":"2026-02-20T12:06:39.677056","lastUpdatedDate":"2026-02-20T12:03:36","latestDataUpdateTime":null,"updateFrequency":"","dataLineage":"The L3 data were generated by spatiotemporally averaging AC SAF prototype L2 NO2 data as part of the ESA CCI precursors project. Data was provided to CEDA for archival.","removedDataReason":"","keywords":"Nitrogen Dioxide, NO2, GOME-2, Metop-A, Metop-B, Metop-C, Climate Data Record, CDR, CCI","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":null,"timePeriod":{"ob_id":13098,"startTime":"2007-01-01T00:00:00","endTime":"2024-12-31T23:59:59"},"resultQuality":{"ob_id":1,"explanation":"See dataset associated documentation","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2012-08-15"},"validTimePeriod":null,"procedureAcquisition":null,"procedureComputation":null,"procedureCompositeProcess":{"ob_id":45757,"uuid":"0fd2c0525fd74d0599eaf7972cb3dfac","short_code":"cmppr","title":"Composite process of the gridded nitrogen dioxide (NO2) monthly Level 3 data from GOME-2/MetOp-A,B,C","abstract":"The GOME-2/Metop-A,B and C NO2 Level 3 products were generated using the AC SAF prototype Level 2 product. Only quality-screened Level 2 data were included, applying optimized filtering criteria to ensure data reliability. Monthly Level 3 products were produced by spatial binning onto a regular latitude–longitude grid using an area-weighted averaging approach. The weighting and count vectors are used to consistently apply this weighted averaging during the Level 3 gridding, enabling the calculation of mean values and associated uncertainties.\r\n\r\nDetailed information on the Level 3 algorithm can be found in the Algorithm Theoretical Basis Document (ATBD).\r\n\r\nThe version number is 1.0. The data are provided in NetCDF format."},"imageDetails":[111],"discoveryKeywords":[],"permissions":[],"projects":[{"ob_id":45106,"uuid":"48df3bc5abf34360b4acf1343c2bbc77","short_code":"proj","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative Project (Precursors CCI)","abstract":"The European Space Agency (ESA) Precursors for Aerosols and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3)."}],"inspireTheme":[],"topicCategory":[],"phenomena":[],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[{"ob_id":45366,"uuid":"3466e9e3e72144e5941b35decb36c13a","short_code":"coll","title":"ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning NO2 L3 data products collection, version 1.1","abstract":"This dataset collection is comprised of the European Space Agency's (ESA) Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project morning NO2 (nitrogen dioxide) Level 3 (L3) data products.\r\n\r\nThe version number is 1.1. Data are available in NetCDF format.\r\n\r\nThe following products are included in this collection:\r\n- GOME NO2 L3 data products version 1.1\r\n- SCIAMACHY NO2 L3 data products version 1.1\r\n- GOME-2 NO2 L3 data products version 1.1"}],"responsiblepartyinfo_set":[218852,218853,218854,218855,218856,218857,218858,218859,218860],"onlineresource_set":[95523,95521,95522]},{"ob_id":45809,"uuid":"fb236c93aa574cb9b5154db45dfdd784","title":"The GEBCO_2026 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals","abstract":"The GEBCO_2026 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic and Southern Ocean areas, the grid uses as a base Version 2.8 of the SRTM15_plus data set. This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2026 Grid represents all data within the 2026 compilation. The compilation of the GEBCO_2026 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2026 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at Earth Sciences New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans – jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.","creationDate":"2025-08-05T14:27:15.288189","lastUpdatedDate":"2026-04-01T23:59:59","latestDataUpdateTime":"2026-04-01T23:59:59","updateFrequency":"","dataLineage":"The GEBCO_2026 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make the compilation available for publication through the BODC Published Data Library and the GEBCO Project website. Data were published at BODC, and archived at the Centre for Environmental Data Analysis (CEDA).","removedDataReason":"","keywords":"elevation, oceans","publicationState":"citable","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":"2026-04-23T13:51:15","doiPublishedTime":"2026-04-23T13:51:15","removedDataTime":null,"geographicExtent":{"ob_id":4696,"bboxName":"World","eastBoundLongitude":180.0,"westBoundLongitude":-180.0,"southBoundLatitude":-90.0,"northBoundLatitude":90.0},"verticalExtent":null,"result_field":{"ob_id":45810,"dataPath":"/bodc/gebco/global/gebco_2026","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":114739966435,"numberOfFiles":114,"fileFormat":".asc; .prj; .tif; .xml; .zip; .nc; .pdf; .csv; .txt; .xlsx"},"timePeriod":{"ob_id":13119,"startTime":"2025-06-01T00:00:00","endTime":"2026-04-01T23:59:59"},"resultQuality":null,"validTimePeriod":{"ob_id":13117,"startTime":"2025-06-01T00:00:00","endTime":"2026-04-01T23:59:59"},"procedureAcquisition":null,"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[231],"discoveryKeywords":[],"permissions":[],"projects":[],"inspireTheme":[],"topicCategory":[],"phenomena":[12066,50559,50561,66280,74863,74864],"vocabularyKeywords":[],"identifier_set":[13780],"observationcollection_set":[{"ob_id":43520,"uuid":"b28510bfa05b4ce388d2315c10f5823d","short_code":"coll","title":"The GEBCO Product Collection (General Bathymetric Chart of the Oceans) - a continuous terrain model of the global oceans and land - all releases, formats, and documentation","abstract":"The General Bathymetric Chart of the Oceans (GEBCO) is a continuous terrain model of the global oceans and land. The GEBCO project has been producing bathymetric charts and datasets since 1903. Since 2019, GEBCO’s global bathymetric grids have been developed through the framework of The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all.\r\n\r\nThe GEBCO Product Collection encompasses all digital products released in all formats since 2008. The GEBCO Product Collection contains all available formats and datasets for the latest GEBCO release, alongside documentation and terms of use:\r\n\r\n• GEBCO 2026 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n\r\nThe GEBCO Product Collection also contains all available datasets in all formats for legacy GEBCO releases, alongside their documentation and terms of use:\r\n\r\n\r\n• GEBCO 2025 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2024 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO One Minute Grid - 1 arc-minute - a global bathymetric grid. Originally published in 2003, last updated in 2008.\r\n• GEBCO 2014 Grid - 30-arc seconds - a global bathymetric grid originally published in 2014, last updated in April 2015. \r\n• GEBCO 2019 - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available in NetCDF format only. \r\n• GEBCO 2020 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID). Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2021 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2022 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format. \r\n• GEBCO 2023 - 15 arc-seconds - global data set, on a geographic grid, at 15 arc-second intervals. The grid is accompanied by a Type Identifier Grid (TID), and a version that contains sub-ice topography information for Greenland and Antarctica. Available as a global NetCDF format file or as a set of 8 tiles (each with an area of 90° x 90°) in Data GeoTiff and Esri ASCII raster format."}],"responsiblepartyinfo_set":[218941,218942,218943,218944,218945,218946,218938,218939,218940,218972,218973,218974,218975,218976,218977,218978,218979,218980,218981,218982,218983,218984,218985,218986,218987,218988,218989,218990,218991,218992,218993,218994,218995,218996,218997,218998,218999,219000],"onlineresource_set":[]},{"ob_id":45811,"uuid":"bb481bfdf238490da5b30bf6be9581d2","title":"Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from Oxford’s Radcliffe Observatory manuscript archives, 1760-1945","abstract":"This dataset contains scanned copies of Oxford’s Radcliffe Observatory manuscript archives, 1760-1945. The entire manuscript collection of meteorological observation registers and tabulated records from the former Radcliffe Observatory, a little over 32,000 pages in all, was commercially scanned in high resolution by Autodocs Ltd of Glasgow between January and March 2022. The project was funded by a NERC grant. Each page was scanned and the output stored in three formats, namely PDF, JPEG and TIFF, in increasing file size order. The TIFF files are highest resolution (600 dpi) and retain true document colours. JPEG files use lossy compression to reduce file size, but are otherwise identical for all practical purposes. The PDF files have had contrast and colour adjusted slightly to improve legibility, and file sizes are smaller. Page contents are identical regardless of file format.\r\n\r\nSeparate PDFs for e.g. daily sheets for one month’s observations have been combined into a single file for ease of use and reference, while the TIFF and JPEGs remain one file per page.\r\n\r\nThe collection covers the following:\r\n- 1760-1805 MS observation notes by Thomas Hornsby\r\n- 1811-1820 Daily registers, mostly 3 obs/day. Note that the original logbook was missing when the scanning was undertaken, and these pages are JPEG and PDF files (no TIFFs available) from photographs taken by Tim Burt in 2017\r\n- 1820-1860 Daily (e.g. max, min, rainfall) and 3 obs/day data\r\n- 1855-1934 Sub-daily data in a variety of formats, including hourly transcriptions of many elements. A more detailed catalogue is available upon request providing more granular data by element and period\r\n- 1873-1935 Copies of climatological returns to the Met Office (incomplete series) – originals are in Met Office archives (and have since been scanned and made available online)\r\n- 1893-1945 Daily rainfall registers – two or more daily raingauges, with 00-00h totals as well as the standard 09-09h for some of this period.\r\n- 1952-1995 Various miscellaneous site and metadata information\r\n\r\nIn all, the TIFF collection amounts to 31,462 files and 0.98 TB: PDF 1983 files, 47.5 GB. JPEG files are not held on this disk, but are available on request, in original ‘Volume number’ and file name order. Both PDF and TIFF files have been re-sorted from the original volume/folio order into meaningful folder names, and the file names identify the content, such as ‘Oxford_Daily_Data_1822.pdf’ or ‘071_003_Oxford_Eye_Readings_1889-04-05.tiff’.\r\n\r\nWhere records relate to a month, the form yyyy-mm for year-month is used, months numbered 01-12. Additional numbers after the year such as -00 or -99 usually indicate front and back logbook covers, some of which contain handwritten notes on e.g. instrumental calibrations or adjustments.\r\n\r\nMore information on the Observatory records, including extensive metadata, is given in Oxford Weather and Climate since 1767 by Stephen Burt and Tim Burt, published by Oxford University Press in 2019, pp. 544. (see online resources for link).\r\n\r\nThe scanning was funded through support from the National Centre for Atmospheric Science (NCAS).","creationDate":"2022-07-22T09:15:57.183554","lastUpdatedDate":"2022-07-22T09:15:57","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.","removedDataReason":"","keywords":"Met Office, Reports, Weather, Meteorology","publicationState":"preview","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"ongoing","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5131,"bboxName":"Oxford Radcliffe Observatory","eastBoundLongitude":-1.2639,"westBoundLongitude":-1.2639,"southBoundLatitude":51.7608,"northBoundLatitude":51.7608},"verticalExtent":null,"result_field":{"ob_id":45812,"dataPath":"/badc/operation-weather-rescue/data/OXFORD-RADCLIFFE-SCANS","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":1138952955713,"numberOfFiles":33986,"fileFormat":"JPEG, TIFF, PDF"},"timePeriod":{"ob_id":13120,"startTime":"1760-01-01T00:00:00","endTime":"1945-12-31T23:59:59"},"resultQuality":{"ob_id":3337,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2019-10-18"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45813,"uuid":"c27b256ce39242d3aa7d21770f1b511d","short_code":"acq","title":"Acquisition for Oxford Radcliffe Obsevatory historical met obs","abstract":"Acquisition for Oxford Radcliffe Obsevatory historical met obs"},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[236],"discoveryKeywords":[],"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":27037,"uuid":"f4dbd99ad3634e64bb45ed6af216086a","short_code":"proj","title":"Operation Weather Rescue","abstract":"Operation Weather Rescue was a project set up to digitise meteorological observations recorded at weather stations across Europe. 1.8 million lost weather records have been 'rescued' with the help from over 2000 volunteer citizen scientists, including data from Ben Nevis and Fort William between 1883 and 1904."}],"inspireTheme":[],"topicCategory":[],"phenomena":[10201,13200,20927,21954,25388,93266,93267],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[219012,219010,219003,219004,219006,219007,219008,219009,219011,219013],"onlineresource_set":[95524,95525,95526]},{"ob_id":45814,"uuid":"28bea4e8c23547a7a5b8df656c16e8d4","title":"Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Devon and Exeter Institute manuscript archives, 1817-1975","abstract":"This dataset contains scanned copies of the meteorological record from the Devon and Exeter Institute manuscript archives, 1817-1975, taken on site at 50° 45' (50.75°N), 3° 41'W (3.683333°W).\r\n\r\nThe data are stored in a series of folders with the naming convention as follows:\r\n\r\nDEI_MR_[start year]_[end year]\r\n\r\nWhere:\r\n\r\nDEI = Devon and Exeter Institure\r\nMR = Meteorological Record\r\n[start year] and [end year] elements are taken as the years covered by the volume. In some cases there is a mid-year break between which volumes records are stored. \r\n\r\nWithin the folders the files are given the name IMG_####.jpg. The first file shows an image of the spine of the volume from which the subsequent images of the pages are given.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.","creationDate":"2022-07-22T09:15:57.183554","lastUpdatedDate":"2022-07-22T09:15:57","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.","removedDataReason":"","keywords":"Met Office, Reports, Weather, Meteorology","publicationState":"preview","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5132,"bboxName":"Devon Exeter Institute","eastBoundLongitude":-3.683333,"westBoundLongitude":-3.683333,"southBoundLatitude":50.75,"northBoundLatitude":50.75},"verticalExtent":null,"result_field":{"ob_id":45815,"dataPath":"/badc/operation-weather-rescue/data/DEVON-EXETER-INSTITUTE","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":6829107630,"numberOfFiles":2043,"fileFormat":"JPEG"},"timePeriod":{"ob_id":13126,"startTime":"1817-01-01T00:00:00","endTime":"1975-12-31T23:59:59"},"resultQuality":{"ob_id":3337,"explanation":"Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)","passesTest":true,"resultTitle":"CEDA Data Quality Statement","date":"2019-10-18"},"validTimePeriod":null,"procedureAcquisition":{"ob_id":45817,"uuid":"2b27d164f1264727a68aba178435dfc3","short_code":"acq","title":"Acquisition for the Devon Exeter Institute met records","abstract":"Acquisition for the Devon Exeter Institute met records"},"procedureComputation":null,"procedureCompositeProcess":null,"imageDetails":[236],"discoveryKeywords":[],"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":27037,"uuid":"f4dbd99ad3634e64bb45ed6af216086a","short_code":"proj","title":"Operation Weather Rescue","abstract":"Operation Weather Rescue was a project set up to digitise meteorological observations recorded at weather stations across Europe. 1.8 million lost weather records have been 'rescued' with the help from over 2000 volunteer citizen scientists, including data from Ben Nevis and Fort William between 1883 and 1904."}],"inspireTheme":[],"topicCategory":[],"phenomena":[10201,13200,20927,21954,25388,93266,93267],"vocabularyKeywords":[],"identifier_set":[],"observationcollection_set":[],"responsiblepartyinfo_set":[219021,219019,219020,219022,219023,219024,219025,219026,219027,219028],"onlineresource_set":[95527]},{"ob_id":45818,"uuid":"4454095caf3d42f5a7d92cb5b06f87e3","title":"Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Leeds Philosophical Society manuscript archives, 1823-1850","abstract":"This dataset contains scanned copies of the meteorological record from the Leeds Philosophical Society manuscript archives, 1823-1835.\r\n\r\nThe records are stored in Bretherton Library, University of Leeds, with the following description from the library archive:\r\n\r\nContains handwritten records of thermometer and barometer readings, wind direction, weather and rainfall, with journal of observations taken daily from January 1823 to March 1835. Data for later dates inserted loose in the first volume, with rough notes and journals. Vol. 1 is preceded by the minutes of the first meeting of the Meteorological Committee, December 1821.\r\n\r\nBiography or history\r\n\r\nThe Leeds Philosophical and Literary Society was founded in 1819 and played an important role in further education, in both the sciences and the humanities, in Leeds throughout most of the 19th century. The changing patterns of higher education and other circumstances were causing the Society to reconsider the scope of its activities by the time of the First World War; after the War the Society transferred its museum to the City of Leeds and its library to the University, and concentrated its efforts on publishing the results of research, issuing since 1925 two series of 'Proceedings' ('Literary and Historical' and 'Scientific').\r\n\r\nImages also include monthly mean temperatures for the 1840s.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.","creationDate":"2022-07-22T09:15:57.183554","lastUpdatedDate":"2022-07-22T09:15:57","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.","removedDataReason":"","keywords":"Reports, 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MET1/4/19 (their version may extend to 1849).\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.","creationDate":"2022-07-22T09:15:57.183554","lastUpdatedDate":"2022-07-22T09:15:57","latestDataUpdateTime":null,"updateFrequency":"notPlanned","dataLineage":"Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.","removedDataReason":"","keywords":"Reports, Weather, Meteorology","publicationState":"preview","nonGeographicFlag":false,"dontHarvestFromProjects":false,"language":"English","resolution":"","status":"completed","dataPublishedTime":null,"doiPublishedTime":null,"removedDataTime":null,"geographicExtent":{"ob_id":5135,"bboxName":"Aberdeen Grammar 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