Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
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{ "count": 11555, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=8200", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=8000", "results": [ { "ob_id": 31837, "uuid": "c80e662bc096492a82dd6bfed5dea64a", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-0/", "numberOfFiles": 65, "volume": 4428899850, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31823, "uuid": "311f2fe74f4b4298be467f6622ded76b", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.0 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110')." }, "onlineresource_set": [] }, { "ob_id": 31849, "uuid": "5dd6310af77446078966daa8f247b18c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2020/franc/data/franc_radialwinds/", "numberOfFiles": 5, "volume": 239049050, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31848, "uuid": "5d8221e070e64823891bed7a87840447", "short_code": "ob", "title": "FRANC: Doppler radar radial wind observations and associated observation-minus-model residuals from the Met Office UKV 3D Var assimilation scheme", "abstract": "The dataset is provided to support the publication 'Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics' by Waller et al (2016). The dataset was created as part of the NERC Flooding from Intense Rainfall (FRANC) project in order to study the observation uncertainties associated with Doppler radar radial wind observations assimilated in to the Met Office UK variable resolution model. The dataset is processed output of the Met Office UKV 3D var assimilation scheme for June, July and August 2013 for four different experimental scenarios. Full details and equations are given in Waller et al (2016) but the four different experimental cases are summarised as follows:\r\n\r\n- Case 1: Control experiment using standard UKV settings in place in January 2014\r\n- Case 2: As Case 1, but with a different background error covariance matrix used in the data assimilation\r\n- Case 3: As Case 1, but with raw Doppler radial wind observations rather than superobservations\r\n- Case 4: As Case 3, but with an improved observation operator.\r\n\r\nFor each case the dataset consists of the radial wind observations assimilated at each assimilation cycle valid between 01/06/2013 and 31/08/2016 along with the associated observation-minus-background and observation-minus-analysis residuals. Each observation also has metadata that describes the location of the observation (both in latitude/longitude co-ordinates, and co-ordinates relative to the radar station) , the assimilation cycle at which it was assimilated and the observation error variance that the observation was assigned in the data assimilation scheme. \r\n\r\nThese data are published under the Open Government License (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) © Crown Copyright, 2020, Met Office”." }, "onlineresource_set": [] }, { "ob_id": 31855, "uuid": "7c3f99f72d5e4fb5b9d469914bb3d4bf", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/vol-clim/data/UM-UKCA_volcanic_ensemble/", "numberOfFiles": 85, "volume": 2201475, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31858, "uuid": "232164e8b1444978a41f2acf8bbbfe91", "short_code": "ob", "title": "Vol-Clim: UM-UKCA interactive stratospheric aerosol model summary data for perturbed parameter ensemble of volcanic eruptions", "abstract": "This dataset contains summary data (global monthly mean) of the volcanic stratospheric aerosol optical depth, effective radiative forcing, instantaneous radiative forcing and rapid adjustments from 82 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption latitudes and emission altitudes. Two ensembles were conducted for eruptions starting in January and July. Each simulation was run for 38 months post eruption in a year 2000 timeslice condition. Unified Model- United Kingdom Chemistry and Aerosols Model simulations were conducted at a global resolution of 1.875° x 1.25°. \r\n\r\nOne file is included for each eruption. Simulation IDs as specified by the Unified Model User Interface are included in each file name. Eruption details are included as global attributes.\r\n\r\nThis data were collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project." }, "onlineresource_set": [] }, { "ob_id": 31868, "uuid": "460a1075c0644fbf8bfe26104ad0cd5d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/sa-monsoon/data/incompass/convective-cells", "numberOfFiles": 8, "volume": 64531021, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31859, "uuid": "961892909b584a0c8d186931b6c0dddb", "short_code": "ob", "title": "INCOMPASS: India Meteorology Department Doppler radar convective cell statistics", "abstract": "This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign.\r\n\r\nThe seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression.\r\n\r\nThe data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales." }, "onlineresource_set": [] }, { "ob_id": 31870, "uuid": "8b2fdf75693e4a78822122970bbec098", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-pm2.5", "numberOfFiles": 2, "volume": 17498, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31869, "uuid": "f29fdcae79374754bd16e7f66e6ed951", "short_code": "ob", "title": "APHH: Ionic species data within PM2.5 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains ionic data within PM2.5 measurements made during the Pre- Monsoon (28/05/2018 08:30:00 - 05/06/2018 17:30:00) and Post-Monsoon periods (09/10/2018 14:54:00 - 0\r\n6/11/2018 10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, "onlineresource_set": [] }, { "ob_id": 31879, "uuid": "13d1eaf60e474f52aeaef023c521e1eb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/igp/data/IGP_met_buoy_v5", "numberOfFiles": 2, "volume": 439533, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31878, "uuid": "7cc70ebf9ebc46d483fb4f17a984a978", "short_code": "ob", "title": "Iceland Greenland seas Project (IGP): meteorological buoy measurements", "abstract": "This dataset contains meteorological, sea water temperature, surface ocean currents and wave height, direction and period measurements from a Seawatch Wavescan meteorological buoy deployed in the northwest Iceland Sea for the Iceland Greenland seas Project (IGP). \r\n\r\nThis was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Amospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1). \r\n\r\nThe Seawatch Wavescan meteorological buoy was deployed during the first leg of the NATO Research Vessel Alliance cruise, on 21 February 2018. Its position in the northwest Iceland Sea was strategically placed adjacent to a subsurface mooring in the Eggvin Offset. The dataset contains standard meteorological variables, surface ocean currents and wave height, direction and period from the buoy. Sea water temperature measurements at 8 m depth from the co-located mooring beneath the buoy are included to replace failed sea surface temperature measurements from the buoy under the reasonable assumption that this was still within the surface ocean mixed layer in this region. Similarly, pressure measurements that failed for roughly half of the deployment are replaced by surface layer estimates from ECMWF's ERA5 reanalysis product interpolated to the position of the meteorological buoy, corroborated for the period the sensor was working. Otherwise the buoy worked well for 2.5 months, until it broke loose from its anchor and stopped recording on 6 May 2018 and was recovered soon after. Also provided in the dataset are bulk aerodynamic flux estimates generated using the COARE3.0a algorithm." }, "onlineresource_set": [] }, { "ob_id": 31891, "uuid": "eae6b7abb4894d6f8fe0088765415464", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-202007/", "numberOfFiles": 5049, "volume": 2680430901, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31890, "uuid": "1dc8578eb7434a7d8a661744d53eedf9", "short_code": "ob", "title": "MIDAS Open: UK hourly solar radiation data, v202007", "abstract": "The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2019.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 31892, "uuid": "4bf355eaf5f04403a322b659975b4bb5", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-202007/", "numberOfFiles": 23094, "volume": 3860753955, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31899, "uuid": "85b9dad7af814bfa9047a525927257f4", "short_code": "ob", "title": "MIDAS Open: UK soil temperature data, v202007", "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2019.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 31893, "uuid": "c968f38a4d6646d497c0eea1917b43a4", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-mean-wind-obs/dataset-version-202007/", "numberOfFiles": 14181, "volume": 7436150253, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31885, "uuid": "f7e09e89de234c15964a4cc7a75f3f74", "short_code": "ob", "title": "MIDAS Open: UK mean wind data, v202007", "abstract": "The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2019.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record." }, "onlineresource_set": [] }, { "ob_id": 31894, "uuid": "aab3ae67a8a949f49a84ba5f75672458", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-weather-obs/dataset-version-202007/", "numberOfFiles": 49789, "volume": 29454605314, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31883, "uuid": "8d85f664fc614ba0a28af3a2d7ef4533", "short_code": "ob", "title": "MIDAS Open: UK hourly weather observation data, v202007", "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2019.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data." }, "onlineresource_set": [] }, { "ob_id": 31895, "uuid": "b04eb51269f64cd49fc7f8a4139d590b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-202007/", "numberOfFiles": 61222, "volume": 2069733197, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31889, "uuid": "064f3a982cfc4b07bc5de627cd8676f1", "short_code": "ob", "title": "MIDAS Open: UK daily temperature data, v202007", "abstract": "The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2019. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 31896, "uuid": "dc08856169f3494a8b6318de65d6425b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-rain-obs/dataset-version-202007/", "numberOfFiles": 14716, "volume": 4741935511, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31888, "uuid": "77187ac1e0a341ca993c3366f8c59c3c", "short_code": "ob", "title": "MIDAS Open: UK hourly rainfall data, v202007", "abstract": "The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2019.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset." }, "onlineresource_set": [] }, { "ob_id": 31897, "uuid": "d59e08af8d0045cd8ac8fc81498c0008", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-weather-obs/dataset-version-202007/", "numberOfFiles": 46179, "volume": 2976085287, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31884, "uuid": "f8612c43a1244fda9463787313d3892a", "short_code": "ob", "title": "MIDAS Open: UK daily weather observation data, v202007", "abstract": "The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1889 to 2019. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 31898, "uuid": "34c40b2dc31a4475bb783c0c5f0a064a", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-midas-open/data/uk-daily-rain-obs/dataset-version-202007/", "numberOfFiles": 51069, "volume": 1073022224, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31887, "uuid": "ec9e894089434b03bd9532d7b343ec4b", "short_code": "ob", "title": "MIDAS Open: UK daily rainfall data, v202007", "abstract": "The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2019. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection." }, "onlineresource_set": [] }, { "ob_id": 31909, "uuid": "cf031bef3889426a88ef8307f17f56b4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v05.2", "numberOfFiles": 10377, "volume": 8378534351, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26236, "uuid": "dd3da2570363429791b51120bdd29c02", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.2", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v05.2 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, "onlineresource_set": [] }, { "ob_id": 31910, "uuid": "d01f865c633246f791bb720faabac1f2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v05.2", "numberOfFiles": 6, "volume": 1558808, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26249, "uuid": "91719888102e4c81b7884cb57cb2f3e3", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 05.2", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v05.2 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, "onlineresource_set": [] }, { "ob_id": 31911, "uuid": "47d2496dc4d645df8f1432673b1a4efe", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v05.2", "numberOfFiles": 15037, "volume": 15496022066, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26244, "uuid": "057dd6c36f0741d3b97f9eee688b7835", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 05.2", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v05.2 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, "onlineresource_set": [] }, { "ob_id": 31912, "uuid": "4b1d09fd9dc9486a8fcd3f30c7e16db9", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v05.2", "numberOfFiles": 15037, "volume": 13045986599, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 26241, "uuid": "f0580e34da524770b0a5d43c033b33dc", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 05.2", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v05.2 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, "onlineresource_set": [] }, { "ob_id": 31914, "uuid": "ff49ba59e3a340b786a5a666087cb611", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_TAN_OCFP/v1.0/", "numberOfFiles": 327, "volume": 116249978, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31872, "uuid": "2cc63301f1854239aa61c70e58c61207", "short_code": "ob", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for selected validation sites, version 1.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. The data covers the period from March 2017 to May 2018 and is provided for TCCON (Total Carbon Column Observing Network) validation sites only. A full global dataset is in production. For further information on the dataset, please see the linked documentation.\r\n\r\nThis data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO)." }, "onlineresource_set": [] }, { "ob_id": 31915, "uuid": "b20696c807d94331ab933063f28b934d", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/oceanic_poc/data/v4.2/", "numberOfFiles": 543, "volume": 579407160958, "fileFormat": "CF compliant NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31913, "uuid": "ef09d81517a84979ac60329e4859f449", "short_code": "ob", "title": "NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)", "abstract": "The National Centre for Earth Observation (NCEO): Monthly global Particulate Organic Carbon (POC) dataset contains POC concentrations gridded on both sinusoidal (SIN) and geographic (GEO) grid projections at 4 km spatial resolution for 1997-2020. The POC dataset has been produced using the Ocean Colour Climate Change Initiative Remote Sensing Reflectance (Rrs) products, Version 4.2. The dataset includes the Rrs at 443 nm and 555 nm with pixel-by-pixel uncertainty estimates for each wavelength.\r\n\r\nFor more details on the algorithm and its validation, please see papers by Stramski et al. (2008) and Evers-King et al. (2017). Please note that the validation of the POC algorithm is a continuing process. To increase the accuracy of POC algorithms, further in situ POC data need to be collected with high spatial and temporal resolution." }, "onlineresource_set": [] }, { "ob_id": 31927, "uuid": "22c873be8c964bda8de16f17ffd7c511", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/WACCM-X_1950-2015/data", "numberOfFiles": 3171, "volume": 513863448298, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31926, "uuid": "dc91f5e39ae34fd883af81dfdbaf659c", "short_code": "ob", "title": "Monthly mean climate data from a transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 1950 to 2015", "abstract": "This dataset comprises monthly mean data from a global, transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 1950 to 2015. WACCM-X is a global atmosphere model covering altitudes from the surface up to ~500 km, i.e. including the troposphere, stratosphere, mesosphere and thermosphere. \r\n\r\nWACCM-X version 2.0 (Liu et al., 2018) was used, part of the Community Earth System Model (CESM) release 2.1.0 made available by the US National Center for Atmospheric Research. The model was run in free-running mode with a horizontal resolution of 1.9° latitude 2.5° longitude (giving 96 latitude points and 144 longitude points) and 126 vertical levels. Further description of the model and simulation setup is provided by Cnossen (2020) and references therein. A large number of variables are included on standard monthly mean output files on the model grid, while selected variables are also offered interpolated to a constant height grid or vertically integrated in height (details below). Zonal mean and global mean output files are included as well.\r\n\r\nThe following data file types are included:\r\n1)Monthly mean output on the full grid for the full set of variables; [DFT] = ''\r\n2)Zonal mean monthly mean output for the full set of variables; [DFT] = _zm\r\n3)Global mean monthly mean output for the full set of variables; [DFT] = _gm\r\n4)Height-interpolated/-integrated output on the full grid for selected variables; [DFT] = _ht\r\n\r\nA cos(latitude) weighting was used when calculating the global means.\r\n\r\nData were interpolated to a set of constant heights (61 levels in total) using the Z3GM variable (for variables output on midpoints, with \"lev\" as the vertical coordinate) or the Z3GMI variable (for variables output on interfaces, with \"ilev\" as the vertical coordinate) stored on the original output files (type 1 above). Interpolation was done separately for each longitude, latitude and time. \r\n\r\nMass density (DEN [g/cm3]) was calculated from the M_dens, N2_vmr, O2, and O variables on the original data files before interpolation to constant height levels. \r\n\r\nThe Joule heating power QJ [W/m3] was calculated using Q_J=_P B^2 [(u_i-u_n )^2+(v_i-v_n )^2+(w_i-w_n )^2] with P = Pedersen conductivity [S], B = geomagnetic field strength [T], ui, vi, and wi = zonal, meridional, and vertical ion velocities [m/s] and un, vn, and wn = neutral wind velocities [m/s]. QJ was integrated vertically in height (using a 2.5 km height grid spacing rather than the 61 levels on output file type 4) to give the JHH variable on the type 4 data files. The QJOULE variable also given is the Joule heating rate [K/s] at each of the 61 height levels.\r\n\r\nAll data are provided as monthly mean files with one time record per file, giving 792 files for each data file type for the period 1950-2015 (66 years)." }, "onlineresource_set": [] }, { "ob_id": 31931, "uuid": "15387e6de2f34dda8482c743c518fd45", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2018/WRF-himalaya/data/debris-cover/", "numberOfFiles": 26, "volume": 18440920012, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31930, "uuid": "928e62c5a1464b578f78db9a244575a5", "short_code": "ob", "title": "WRF (Weather Research and Forecasting) data over the Dudh Koshi Valley, Himalaya, with and without debris covered glaciers, July 2013", "abstract": "This dataset contains atmospheric data from the WRF (Weather Research and Forecasting) model. The model is located over the Dudh Koshi Valley, and the model was run for July 2013. WRF version 3.8 was used. This data has been used to create and examine the effectiveness of a new debris-covered glacier representation in the WRF model.\r\n\r\nThere are eight NetCDF files containing the data: The model with the default glacier landmask in the model (WRF_DudhKoshiHimalayas_201306_CleanIceGlaciers.nc); the model with a new representation of debris-covered glaciers (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers.nc); and six sensitivity tests varying albedo, emissivity and roughness length (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers_albedoHIGH.nc, etc)." }, "onlineresource_set": [] }, { "ob_id": 31932, "uuid": "9ef41383da36432fa0b70c7496ae7907", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/5km", "numberOfFiles": 6094, "volume": 50632664075, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31908, "uuid": "2fd7c824e7e549809c1bc6a128ad74db", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31933, "uuid": "6c528dfe1f9a443b982e2ba241f3aab8", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/1km", "numberOfFiles": 6094, "volume": 1260774312634, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31907, "uuid": "89908dfcb97b4a28976df806b4818639", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31934, "uuid": "6fcf995bec8144feb0bcadbb894a1d81", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/12km", "numberOfFiles": 6094, "volume": 9046870501, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31906, "uuid": "1bea761180674b9f9b1830f9aabfac15", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). \r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. Additionally, this version has corrected the grid definition used for the 12 km grid product to match UKCP18 climate model products.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31935, "uuid": "e28c96daaf0c4a78a2f4faf886bc03b0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/25km", "numberOfFiles": 6094, "volume": 2118008841, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31905, "uuid": "725e1339c06344cc813e4cb123c12f81", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31936, "uuid": "78666e0834e54535a2c9a03db68a91d1", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/60km", "numberOfFiles": 6094, "volume": 532328735, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31904, "uuid": "df33c78736a44019b8ceb20ab440cae1", "short_code": "ob", "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31937, "uuid": "56232e60cf5c4a79a491a0803e544ed3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/region", "numberOfFiles": 133, "volume": 19602538, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31903, "uuid": "e091188f36ff41fcae8c30da1ae77ea0", "short_code": "ob", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31938, "uuid": "ad96c0fee682417c99732a757193abf4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/country", "numberOfFiles": 133, "volume": 12620815, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31901, "uuid": "4f165fc3b96b430fb6e35b859758c9ce", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK countries, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31939, "uuid": "ab325a585bc84c4092337c2e55e09fec", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.2.1/river", "numberOfFiles": 133, "volume": 25665952, "fileFormat": "Data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31902, "uuid": "7d205e6cb7b4441eb3cdd5bbc4fd7829", "short_code": "ob", "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nFor this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence." }, "onlineresource_set": [] }, { "ob_id": 31942, "uuid": "70dbc1af28bf4f79a9fd0b10fa424014", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-1/", "numberOfFiles": 65, "volume": 4428897286, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31941, "uuid": "ee378533af6243899bc93653cbd41eaa", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.1 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nIn September 2020, a user identified some issues in the DTR and TN90p (61-90) indices. These were found to have arisen from erroneous values in a few stations which were not picked up by any quality control checks. These stations were noted on the bad list and these two indices re-run, hence v3.0.1." }, "onlineresource_set": [] }, { "ob_id": 31944, "uuid": "9b4de116449b4698a4c41a86ef2b1df2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/rcemip/data/", "numberOfFiles": 33594, "volume": 32340403128522, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31947, "uuid": "a932184a525940e7acebf036e157a658", "short_code": "ob", "title": "Radiative–convective equilibrium model intercomparison project model data", "abstract": "This dataset contains model data from the Radiative-Convective Equilbrium Model Intercomparison Project (RCEIMP). The experimental design consists of two domain configurations (large and small) simulated across three values of fixed, uniform sea surface temperature (295, 300, 305 K), with uniform insolation and no planetary rotation. The dataset includes contributions from atmospheric general circulation models (GCMs), single column models (SCMs), cloud-resolving models (CRMs), large eddy simulations (LES), and global cloud-resolving models (GCRMs). See documentation for further details and list of models and parameters.\r\n\r\nThe three themes that RCEIMP has been designed for are as follows:\r\n1. What is the response of clouds to warming and the climate sensitivity in RCE?\r\n2. What is the dependence of convective aggregation and tropical circulation regimes on temperature in RCE?\r\n3. What is the robustness of the RCE state, including the above results, across the spectrum of models?" }, "onlineresource_set": [] }, { "ob_id": 31955, "uuid": "6f90dd46ed0b471e935c77c50513750c", "short_code": "result", "curationCategory": "A", "dataPath": "/pdc", "numberOfFiles": 12997, "volume": 3976433767402, "fileFormat": "PDC data", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31958, "uuid": "578a36e7f9a04fdb84a8b8fa93a6042d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/franc/data/helical_scans/", "numberOfFiles": 1756, "volume": 2992169883, "fileFormat": "Data are in NIMROD binary format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31957, "uuid": "80791eb6d92542cea867727f3c44d49a", "short_code": "ob", "title": "FRANC: Wardon Hill C-band rain radar helical scan products", "abstract": "Helical scans from the Met Office's Wardon Hill C-band rain radar, Dorset, England produced in support of the NERC funded \"Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection\" (FRANC) project. These data are opportunistic observations made by the radar as it transitioned between horizontal and vertically pointing scans and vice versa obtained during the period of the FRANC project.\r\n\r\nThe radar is a C-band (5.3 cm wavelength) radar and data are received by the Nimrod system at 5 minute intervals." }, "onlineresource_set": [] }, { "ob_id": 31961, "uuid": "bbc8bbec9c84447c9a9df4f7170c39ba", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.04/", "numberOfFiles": 2924, "volume": 50577692, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 30262, "uuid": "58d87204bd974f04b14141eb275f4a1e", "short_code": "ob", "title": "CRU CY4.04: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.04 (Jan. 1901 - Dec. 2019)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.04 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency: including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure, potential evapotranspiration and wet day frequency. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2020 by CRU at the University of East Anglia and extends the CRU CY4.03 data to include 2019. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.04 is derived directly from the CRU time series (TS) 4.04 dataset. CRU CY version 4.04 spans the period 1901-2019 for 292 countries.\r\n\r\nTo understand the CRU CY4.04 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.04. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.04 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users." }, "onlineresource_set": [] }, { "ob_id": 31962, "uuid": "c99b98b65a3d4d10a4bf7df6a00b116d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ncas-longterm-obs/data/ncas-mobile-xband-radar/20161101-20180604", "numberOfFiles": 0, "volume": 9000000000000, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 31964, "uuid": "5a008ff9ed4947b2b425ca6ca03fe762", "short_code": "result", "curationCategory": "", "dataPath": "/badc/cru/data/cru_jra/cru_jra_2.1/", "numberOfFiles": 1192, "volume": 402662887629, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31963, "uuid": "10d2c73e5a7d46f4ada08b0a26302ef7", "short_code": "ob", "title": "CRU JRA v2.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2019.", "abstract": "The CRU JRA V2.1 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2019.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.04 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001" }, "onlineresource_set": [] }, { "ob_id": 31972, "uuid": "56c4dae3ddac40f1b6e677da721d7f98", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/permafrost_extent/L4/area4/pp/v02.0/", "numberOfFiles": 23, "volume": 3459944346, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31965, "uuid": "28e889210f884b469d7168fde4b4e54f", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%).\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. \r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 31973, "uuid": "20a034bd7a6d47739f79df27558cfc07", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/ground_temperature/L4/area4/pp/v02.0", "numberOfFiles": 23, "volume": 33756960822, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31966, "uuid": "6ebcb73158b14cd5a321b7c0bc6ed393", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost ground temperature for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m).\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 31974, "uuid": "921164c432c3479c9ff3102d439048db", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/permafrost/data/active_layer_thickness/L4/area4/pp/v02.0/", "numberOfFiles": 23, "volume": 6829225904, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31967, "uuid": "29c4af5986ba4b9c8a3cfc33ca8d7c85", "short_code": "ob", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness.\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year." }, "onlineresource_set": [] }, { "ob_id": 31978, "uuid": "200cb4d2f8fd4043bae124cd198f1591", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukcp18/data/land-indices", "numberOfFiles": 132, "volume": 945593987, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31977, "uuid": "6e61f79cb6b0457eb84edaffcf0aab3a", "short_code": "ob", "title": "UKCP Global (60km) - European Circulation Indices", "abstract": "A set of European Climate Indices calculated from UKCP Global (60km) projections from 1900-2100 under RCP8.5 produced by the Met Office in 2018 including: \r\n\r\n1. Daily Atlantic jet stream latitude and strength \r\n\r\n2. Daily 'weather pattern' classification - time-series of 1-8 or 1-30 weather patterns which are based on a classification scheme for the large scale synoptic situation.\r\n\r\n3. Winter North Atlantic Oscillation (NAO) index - annual time series represents the seasonal mean NAO as the sea level pressure gradient between Gibraltar and Iceland.\r\n\r\nFurther information on this dataset and UKCP18 can be found in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 31983, "uuid": "82e14e61a8004b04ad4abc67128d9065", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/UM-UKCA_volcanic-ensemble-deposition/data", "numberOfFiles": 4, "volume": 11515, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31984, "uuid": "89cb57d9191b4b81965acb7f154c66df", "short_code": "ob", "title": "UM-UKCA interactive stratospheric aerosol model time-integrated data for perturbed parameter ensemble of volcanic eruptions", "abstract": "This dataset contains summary 3-year time-integrated data of the global mean volcanic stratospheric aerosol optical depth, effective radiative forcing and anomalous deposited sulfate on Antarctica and Greenland. The data are from 82 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption latitudes and emission altitudes. Two ensembles were conducted for eruptions starting in January and July. Each simulation was run for ~3 years in a year 2000 timeslice condition. The simulations are from the Unified Model coupled with the United Kingdom Chemistry and Aerosol Scheme (UM-UKCA) and were conducted at a global resolution of 1.875 ° x 1.25°.\r\n\r\nThis data were collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project.\r\n\r\nV3 is the latest data file to use." }, "onlineresource_set": [] }, { "ob_id": 31988, "uuid": "618957d9876e4b2b9a92d8c032287968", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/obs4MIPs/ImperialCollege/GERB-HR-ED01-1-0/1hrCM/rlut/gn/v20200506/", "numberOfFiles": 7, "volume": 448035448, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31989, "uuid": "7aa17e66aaab4ece87064272b9f94e3a", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01 rlut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing longwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rlut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." }, "onlineresource_set": [] }, { "ob_id": 31995, "uuid": "cd07f035d8f641fa8c98d3dca63debe7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/obs4MIPs/ImperialCollege/GERB-HR-ED01-1-0/1hrCM/rsut/gn/v20200506/", "numberOfFiles": 7, "volume": 448035473, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31992, "uuid": "4fa633d24d104217a4c9d3fb3589f35d", "short_code": "ob", "title": "Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01 rsut 1hrCM)", "abstract": "This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. \r\n\r\nIt has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output." }, "onlineresource_set": [] }, { "ob_id": 31999, "uuid": "14ec177be1c343ea9d2f9adad0465d88", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/CNRM-CERFACS/", "numberOfFiles": 11483, "volume": 1269702496795, "fileFormat": "CF Net-CDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31996, "uuid": "33c6f584a36e41338156aab1368563a3", "short_code": "ob", "title": "CNRM-CERFACS model data, part of the Chemistry-Climate Model Initiative (CCMI-1) project database", "abstract": "Data from the CNRM-CERFACS CNRM-CM5-3 and MOCAGE model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative (CCMI-1).\r\n\r\nThe CNRM-CERFACS team consisted of the following agencies: Centre National de Recherches Meteorologiques (CNRM) and Centre Européen de Recherche et Formation Avancées en Calcul Scientifique (CERFACS).\r\n\r\nCCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). \r\n\r\n\r\nThe dataset includes data for the CCMI-1 reference experiments ref-C1, ref-C1SD and ref-C2. \r\n\r\nref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010).\r\nref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions." }, "onlineresource_set": [] }, { "ob_id": 32001, "uuid": "000d7f10184449e881200e90f0093147", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/CNRM-CERFACS/MOCAGE", "numberOfFiles": 10440, "volume": 582000000000, "fileFormat": "CF NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 32005, "uuid": "de3ee320a76a4724a844c834ecb5132b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/coarsened-cloud-resolving-tq/data/", "numberOfFiles": 449, "volume": 38620234868, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32008, "uuid": "615144dec7bb4882a5a4bfed89862b93", "short_code": "ob", "title": "Coarse-grained numerical-weather-prediction cloud-resolving model data for use in machine learning thermodynamic tendencies", "abstract": "This dataset contains a series of 99 limited-area models (LAMs) nested within the Met Office global model. Met Office Unified Model (MetUM) deployed on xce, xcf and xcs in Exeter. Model data generated using Met Office Unified Model using a nesting suite (u-bw210) that runs an N512 global forecast and 99 embedded limited-area models each using a convection-permitting grid-length of 1.5km. The LAMs are each 360x360 grid points. The outer region is deemed to be a spin-up region and is ignored. The central 240x240 is then coarse-grained onto a 45km scale using 30x30 horizontal averaging to produce a 8x8=64 grid of spatially averaged data. Each file contains data from only one of these 64 subdomains, but data from every one the 99 regions around the globe. The nesting simulations are free-running within each LAM, but the driving model is re-initialised every 00Z using operational atmospheric analyses. All 99 regions are wholly over the sea. The central lat/lon for each of the 99 regions are: (80,-150), (70,0), (60,-35), (60,-15), (50,-160), (50,-140), (50,-45), (50,-25), (50,-149), (50,170), (40,-160), (40,-140), (40,-65), (40,-45), (40,-25), (40,150), (40,170), (30,-170), (30,-150), (30,-130), (29,-65), (30,-45), (30,-25), (30,145), (30,170), (20,-170), (20,-145), (21,-115), (20,-55), (20,-30), (20,65), (20,135), (20,170), (10,-170), (10,-140), (10,-120), (10,-100), (10,-50), (10,-30), (10,60), (10,88), (10,145), (10,160), (0,-160), (0,-130), (0,-100), (0,-30), (0,-15), (0,0), (0,50), (0,70), (0,88), (0,160), (-10,-170), (-10,-140), (-10,-120), (-10,-90), (-10,-30), (-10,-15), (-10,5), (-10,60), (-10,88), (-10,170), (-20,-160), (-20,-130), (-20,-100), (-20,-30), (-20,0), (-20,55), (-20,80), (-20,105), (-30,-160), (-30,-130), (-30,-100), (-30,-40), (-30,-15), (-30,10), (-30,60), (-30,88), (-40,-160), (-40,-130), (-40,-100), (-40,-50), (-40,0), (-40,50), (-40,100), (-50,-150), (-50,-90), (-50,-30), (-50,30), (-50,88), (-50,150), (-60,-140), (-60,-70), (-60,0), (-60,70), (-60,140), (-70,-160), (-70,-40). The data has near global coverage, but using this series of small domains. Training data is available for 6 months: Jan, Mar, Apr, Jul, Oct, Dec 2016. Test data is available for Jun 2017." }, "onlineresource_set": [] }, { "ob_id": 32017, "uuid": "d63a68738d7541a0801d8b602bd59623", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-2/", "numberOfFiles": 63, "volume": 4115444900, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32016, "uuid": "4530714563c24fd2a3cf291d1db8a4b2", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.2 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.2 was added due to a correction to the land-sea mask used. More details can be found in the HadEX3 blog under 'Details/Docs' tab." }, "onlineresource_set": [] }, { "ob_id": 32025, "uuid": "a3a654a2a26141fe85573794e51ff8e3", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/OFFLINE_h2o_strat_variability/", "numberOfFiles": 3768, "volume": 2670290796, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32026, "uuid": "c6b2f1ca5f8e4c5285fb4f69d1514a03", "short_code": "ob", "title": "Lagrangian Dry Point data regarding the sensitivity of stratospheric water vapour to variability in tropical tropopause temperatures and large-scale transport", "abstract": "This dataset contains results in support of a publication that investigates processes affecting water vapour entry to the stratosphere. The back trajectories were calculated using the OFFLINE trajectory model. Past publications have shown the key processes are temperatures in the tropical tropopause layer and large-scale transport into the stratosphere using trajectory methods. Lagrangian Dry Points (LDPs) are normally calculated as the minimum water vapour saturation mixing ratio experienced along a back-trajectory that has traversed from troposphere to tropical lower stratosphere in its recorded history. \r\n\r\nThis study separated the two key processes by sampling alternative temperatures. These alternative temperatures are either time-shifted or averaged in time or longitude. This method is applied for two meteorological datasets: ERA-Interim (ERA-I) reanalysis for the period 1999-2009, and the UM-UKCA chemistry-climate model for eleven years of a repeat-year-2000 forcing scenario. The ERA-I trajectories were calculated by S Fueglistaler and S Liu for separate publications. The UM-UKCA climate model scenario was conducted by A Maycock. This dataset contains only the LDPs resulting from alternative-temperature sampling.\r\n\r\nThe directory UM-UKCA/LDP-original-T/ provides a simple view of the original unmodified method to calculate LDPs.\r\n\r\nLDP-alt-T/ directories contain LDPs determined with time-shifted alternative temperature samplings. The time-shift is identified by the alternative initialisation date, denoted in the filename and file metadata.\r\n\r\nLDP-ave-T/ directories contain LDPs determine with averaged alternative temperature samplings. The averaging is identified by the variable name and metadata. In the variable names, shorthand and full-name identifiers include 6h (6 hourly instantaneous), ZM (zonal mean), 30DZM (30-day rolling window mean and zonal mean), 120DM, 90DM, 60DM, 30DM, 15DM, 14DM, 8DM, 7DM, 4DM, 2DM, 1DM (rolling window 120 day mean, 90 day mean, etc.). \r\n\r\nNote that various alternative temperatures are recorded at each LDP calculated from each alternative temperature.\r\n\r\nFor more information on the directory structure, file naming conventions, variable naming conventions and attribute conventions please see the README.txt." }, "onlineresource_set": [] }, { "ob_id": 32027, "uuid": "472fadb3686c46f2a1bc515260121bd9", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/piccolo/data/marine_primary_production/monthly/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 32035, "uuid": "311d46e0ad364764b15fb4538f2e5858", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/aphh/data/delhi/promote/ukesm1_volcanic_halogen/", "numberOfFiles": 0, "volume": 0, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 32038, "uuid": "5965cc5f78cc4f3ea5b07c192b01326e", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2020/ukesm1_volcanic_halogen/data", "numberOfFiles": 8023, "volume": 668164633209, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32037, "uuid": "5f4d2f6daebd4195a0368a79405d3686", "short_code": "ob", "title": "Global model data generated for volcanic halogen simulations: United Kingdom Earth System Model 1.0 (UKESM1.0), Unified Model version 11.2, N96L85, 1990s timeslice.", "abstract": "This dataset contains global model data generated for volcanic halogen simulations. Model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only configuration, with Met Office Unified Model version 11.2. The data is on a global N96 grid (192 x 144 points), and is a mid 1990s timeslice. These data were used to study the impact of co-emission of volcanic halogens on atmospheric composition and radiative forcing.\r\n\r\nThere are 6 experimental integrations for sulfur only (u-bw537, u-bw539, u-bw541, u-bs104, u-bs110, u-bs112) and sulfur & halogens (u-bw538, u-bw540, u-bw542, u-bs109, u-bs111, u-bs113), and a control (u-bs034) for each year. The files are labeled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included file variable_codes.txt.\r\n\r\nThe datasets are in NetCDF format, and were generated from the above model suites." }, "onlineresource_set": [] }, { "ob_id": 32041, "uuid": "51c51967014842ebb37fedc8e2bbf327", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/thailand-particles/data/bristol-lvs3/", "numberOfFiles": 2, "volume": 35195, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32040, "uuid": "c01a412f71f94de9ae0f5502e127f3fc", "short_code": "ob", "title": "Ultrafine and Submicron Particles in the Urban Environment in Thailand: PM10 concentration and composition measurements in Lak Si, Bangkok, Thailand", "abstract": "This dataset contains PM10 concentration and composition measurements taken in Lak Si, Bangkok, Thailand. Particulate Matter under 10 micrometres diametre in size (PM10) was collected in 24 hour and 72 hour samples in a rooftop site in Lak Si, Bangkok, Thailand using a Sven Leckel LVS3 PM10 sampler. Samples were weighed and analysed for concentrations of the following elements: magnesium (Mg), aluminim (Al), calcium (Ca), vanadium (V), cromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), antimony (Sb), barium (Ba) and lead (Pb). The data covered three seasons in Bangkok, hot, cool and rainy, from 5th March 2018 until 15th November 2018. Meteorological data was measured in the same location using a Gill Maximet 501 and Gill Maximet 100 weather station. Weather parameters measured included rainfall, wind speed, wind direction, pressure, relative humidity, temperature, dew point and solar radiation. \r\n\r\nMeasurements were taken by the staff of the Toxicology group in the Chulabhorn Research Institute, Thailand and the Atmospheric Chemistry Research Group in the University of Bristol, UK as part of the NERC grant Ultrafine and Submicron Particles in the Urban Environment in Thailand." }, "onlineresource_set": [] }, { "ob_id": 32044, "uuid": "24d5676d29764563965ff171a76a673c", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2020/thailand-particles/data/bristol-elpi/", "numberOfFiles": 3, "volume": 84886, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32043, "uuid": "29c70585725e4e308ceb2edf3739520a", "short_code": "ob", "title": "Ultrafine and Submicron Particles in the Urban Environment in Thailand: Aerosol concentration and composition size distributions in four locations near Bangkok, Thailand", "abstract": "Particulate matter in up to13 size fractions was collected in up to 72 hour samples from a 5th floor window in Lak Si, Bangkok, Thailand; and from Pollution Control Department (PCD) sites in Ayutthaya, Bang Phli and Chok Chai, in or near Bangkok using a Dekati Electrical Low Pressure Impactor Classic (ELPI). Samples were weighed and analysed for concentrations of the following elements: Mg, Al, V, Cr, Mn, Fe, Co, Ni, Cu. Zn, As, Se, Mo, Cd, Sb, Ba and Pb. The data covered three seasons in Bangkok, hot, cool and rainy, from February 2018 until December 2018. Measurements were taken by the staff of the Toxicology group in the Chulabhorn Research Institute, Thailand and the Atmospheric Chemistry Research Group in the University of Bristol, UK, with the assistance of the PCD, Bangkok, at their sites." }, "onlineresource_set": [] }, { "ob_id": 32047, "uuid": "396962960d1e4a5d8fe7b8c109355e8a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/cru/data/crutem/crutem5", "numberOfFiles": 10660, "volume": 675213127, "fileFormat": "The files are NetCDF4 formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32021, "uuid": "901f576dacae4e049630ab879d6fb476", "short_code": "ob", "title": "CRUTEM.5.0.0.0: Climatic Research Unit (CRU) gridded near-surface air temperature anomalies over land", "abstract": "CRUTEM (Climatic Research Unit TEMperature) is a gridded dataset of global historical near-surface air temperature anomalies over land at a monthly timescale. It is a collaborative product of the Climatic Research Unit at the University of East Anglia, the Met Office Hadley Centre and the National Centre for Atmospheric Science. CRUTEM also contributes the land air temperature station data to the global (land and ocean) temperature dataset called HadCRUT.\r\n \r\nCRUTEM5 is the fifth major version of the dataset, covering the time period from 1850, with a spatial resolution of 5° latitude by 5° longitude and a monthly-mean time resolution. The gridded temperature anomaly fields are based on a compilation of monthly-mean temperature observational records from weather stations. This compilation contains 10639 station records, but only 7983 records had the necessary coverage to be used for producing the gridded dataset. Anomalies are differences from average conditions in the 1961-1990 period. Hemispheric and global mean time series of land air temperature anomalies are also provided." }, "onlineresource_set": [] }, { "ob_id": 32048, "uuid": "f5370594d3c6459bbd8c5d9d4c0365ea", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadCRUT/HadCRUT5/", "numberOfFiles": 2510, "volume": 16504827772, "fileFormat": "The data are NetCDF4 formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32020, "uuid": "b9698c5ecf754b1d981728c37d3a9f02", "short_code": "ob", "title": "HadCRUT.5.0.0.0: Ensemble near-surface temperature anomaly grids and time series", "abstract": "HadCRUT5 (Met Office Hadley Centre/Climatic Research Unit global surface temperature anomalies, version 5) is a gridded dataset of global historical near-surface air temperature anomalies since the year 1850. It has been developed and maintained by the Met Office Hadley Centre and University of East Anglia Climatic Research Unit. Air temperature information over land is derived from CRUTEM5 monthly average meteorological station temperature series, an expanded compilation of station series with revised quality control methods. Temperatures over ocean are derived from the HadSST4 sea-surface temperature dataset, including revised assessments of instrumental biases. Temperature data are presented as monthly average near-surface temperature anomalies, relative to the 1961-1990 period, on a regular 5° latitude by 5° longitude grid from 1850 to 2018, with derived global and hemispheric time series.\r\n\r\nTwo variants of the dataset are provided. The first represents temperature anomaly data on a grid for locations where measurement data are available. The second, more spatially complete, variant uses a Gaussian process based statistical method to make better use of the available observations, extending temperature anomaly estimates into regions for which the underlying measurements are informative. Each is provided as a 200‐member ensemble accompanied by additional uncertainty information.\r\n\r\nMonthly updates to HadCRUT5 are available from the Met Office Hadobs website (see documentation links)." }, "onlineresource_set": [] }, { "ob_id": 32056, "uuid": "18e844c7a33a4f0198c021f3fc684950", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/derived/MOHC/HadOBS/HadEX3/v3-0-3/", "numberOfFiles": 63, "volume": 4115444358, "fileFormat": "Data are provided in NetCDF formats.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32055, "uuid": "087d4c75ace04e59a71d95c1c44918f9", "short_code": "ob", "title": "HadEX3: Global land-surface climate extremes indices v3.0.3 (1901-2018)", "abstract": "HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').\r\n\r\nVersion 3.0.3 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab." }, "onlineresource_set": [] }, { "ob_id": 32058, "uuid": "86c557944ef74822a5be3d4c9c6e2189", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2020/c233-sep-25", "numberOfFiles": 26, "volume": 2747883869, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32059, "uuid": "8a0b27147d804f08b2eedaba78cf452e", "short_code": "ob", "title": "FAAM C233 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 32061, "uuid": "8795991dcf9a4788a4c65d1dbb4fbc0c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2020/c232-sep-21", "numberOfFiles": 28, "volume": 3562363078, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32062, "uuid": "4bb9fc42432b46899b1aa1095171e7dc", "short_code": "ob", "title": "FAAM C232 flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Aircraft Project project." }, "onlineresource_set": [] }, { "ob_id": 32063, "uuid": "ae5d23e665d64d75a603f5b4b7abf391", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2020/c231-aug-27", "numberOfFiles": 43, "volume": 6100272729, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32064, "uuid": "12484d67ab924ddb8e8e3defcad83825", "short_code": "ob", "title": "FAAM C231 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project." }, "onlineresource_set": [] }, { "ob_id": 32066, "uuid": "9fc8e226d68848f8b3ec7f6bf6749725", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/fire/data/burned_area/AVHRR-LTDR/pixel/v1.1/", "numberOfFiles": 2198, "volume": 11376050840, "fileFormat": "Data are in GeoTiff format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31987, "uuid": "b1bd715112ca43ab948226d11d72b85e", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): AVHRR-LTDR Burned Area Pixel product, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The AVHRR - LTDR Pixel v1.1 product described here contains gridded data of global burned area derived from spectral information from the AVHRR (Advanced Very High Resolution Radiometer) Land Long Term Data Record (LTDR) v5 dataset produced by NASA.\r\n\r\nThe dataset provides monthly information on global burned area at 0.05-degree spatial resolution (the resolution of the AVHRR-LTDR input data) from 1982 to 2018. The year 1994 is omitted as there was not enough input data for this year. The dataset is distributed in monthly GeoTIFF files, packed in annual tar.gz files, and it includes 5 files: date of BA detection (labelled JD), confidence label (CL), burned area in each pixel (BA), number of observations in the month (OB) and a metadata file. For further information on the product and its format see the Product User Guide." }, "onlineresource_set": [] }, { "ob_id": 32067, "uuid": "ae3ae0165e09439a899c434459f2efb4", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/fire/data/burned_area/AVHRR-LTDR/grid/v1.1/", "numberOfFiles": 470, "volume": 7700566886, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 31986, "uuid": "62866635ab074e07b93f17fbf87a2c1a", "short_code": "ob", "title": "ESA Fire Climate Change Initiative (Fire_cci): AVHRR-LTDR Burned Area Grid product, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The AVHRR - LTDR Grid v1.1 product described here contains gridded data of global burned area derived from spectral information from the AVHRR (Advanced Very High Resolution Radiometer) Land Long Term Data Record (LTDR) v5 dataset produced by NASA.\r\n\r\nThe dataset provides monthly information on global burned area on a 0.25 x 0.25 degree resolution grid from 1982 to 2018. The year 1994 is omitted as there was not enough input data for this year. The dataset is distributed in NetCDF files, and it includes 4 layers: sum of burned area, standard error, fraction of burnable area and fraction of observed area. For further information on the product and its format see the Product User Guide." }, "onlineresource_set": [] }, { "ob_id": 32073, "uuid": "5c281ebf0cb94adf92b4c946324ef24b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/sst/data/obs4MIPs/UReading/ESA-CCI-SST-v2-1/mon/tos/gn/v20201130/", "numberOfFiles": 3, "volume": 44531549, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32018, "uuid": "5e5da31f2ae047b997ddbbdd372d31cd", "short_code": "ob", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Obs4MIPS monthly-averaged sea surface temperature data, v2.1", "abstract": "This dataset contains monthly 1 degree averages of sea surface temperature data in Obs4MIPS format, from the European Space Agency (ESA)'s Climate Change Initiatve (CCI) Sea Surface Temperature (SST) v2.1 analysis.\r\n\r\nThe data covers the period from 1981-2017, with the data from 1981 to 2016 coming from the Sea Surface Temperature (SST) project of the ESA CCI project. The data for 2017 were generated using the same approach but under funding from the Copernicus Climate Change Service (C3S).\r\n\r\nThis particular product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x" }, "onlineresource_set": [] }, { "ob_id": 32081, "uuid": "67faebe41aa74beb85e04523d78f50f2", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moccha/data/leeds-metek-sonic-anemometer/", "numberOfFiles": 3, "volume": 24412073, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32074, "uuid": "bac887be794d4c4587f302f764c12ec4", "short_code": "ob", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Meteorological data from the measurement station on the ice floe", "abstract": "This dataset contains meteorological data, including air temperature, near-surface air temperature profiles, relative humidity, surface temperature, near-surface wind speed profiles, shortwave and longwave radiation components, wind speed and wind direction measured at a station on the ice floe during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic.\r\n\r\nAO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings.\r\n\r\nThese data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds.\r\n\r\nThe UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF)." }, "onlineresource_set": [] }, { "ob_id": 32082, "uuid": "c45b38b9d7284613a4fed9a44b8ff6e9", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/enda/es_sfc/", "numberOfFiles": 204561, "volume": 318713694356, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32116, "uuid": "fba43af08c49445cb9150d524d8a2072", "short_code": "ob", "title": "ECMWF ERA5.1: ensemble spreads of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains spreads for the ERA5.1 surface level analysis parameter data ensemble means (see linked dataset) over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means and spreads are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32083, "uuid": "1fea0f29c1bf4bba81c3e32a90aba19b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/enda/em_sfc/", "numberOfFiles": 204560, "volume": 320958396048, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32115, "uuid": "9266a584355b46cf9d02791256e2b457", "short_code": "ob", "title": "ECMWF ERA5.1: ensemble means of surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data ensemble means over the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). The ensemble means are calculated from the ERA5.1 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32084, "uuid": "30d886856f38409bbb184c22f30eb0f6", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/enda/an_sfc/", "numberOfFiles": 2045601, "volume": 3159082017422, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32114, "uuid": "7539b74273e14be7b226ec09c94b9bb5", "short_code": "ob", "title": "ECMWF ERA5.1: 10 ensemble member surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data for the period 2000-2006 from 10 member ensemble runs. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). Ensemble means and spreads are calculated from these 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble mean and ensemble spread data.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32085, "uuid": "742ae3a7105746aa892d37e5e56fb988", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/oper/fc_sfc/", "numberOfFiles": 490945, "volume": 769869485616, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32112, "uuid": "54a44e3bdaa14ac8a95f63d91ef51ace", "short_code": "ob", "title": "ECMWF ERA5.1: surface level forecast parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level forecast parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface and Model level analysis data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32086, "uuid": "fe7f18281f274076840fcd5ef16b5f53", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/oper/an_sfc/", "numberOfFiles": 797785, "volume": 1034405929557, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32111, "uuid": "8aa70a91378d455ea63a2a1953858a7f", "short_code": "ob", "title": "ECMWF ERA5.1: surface level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 surface level analysis parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32087, "uuid": "1a473d88f831448692a6218ab27ed197", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era51/data/oper/an_ml/", "numberOfFiles": 490945, "volume": 72584396346244, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32113, "uuid": "b8fdab7c8dea4e56b6ae051eb554cf76", "short_code": "ob", "title": "ECMWF ERA5.1: model level analysis parameter data for 2000-2006", "abstract": "This dataset contains ERA5.1 model level analysis parameter data for the period 2000-2006. ERA5.1 is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project re-run for 2000-2006 to improve upon the cold bias in the lower stratosphere seen in ERA5 (see technical memorandum 859 in the linked documentation section for further details). This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe main ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data, ERA5t, are also available upto 5 days behind the present. A limited selection of data from these runs are also available via CEDA, whilst full access is available via the Copernicus Data Store." }, "onlineresource_set": [] }, { "ob_id": 32088, "uuid": "6f86823da0444edd815bc58e8e1b0976", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era5t/data/enda/an_sfc/", "numberOfFiles": 177602, "volume": 275408762635, "fileFormat": "Data are netCDF formatted with internal compression.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32108, "uuid": "f2f0bc7b9d0344babea9e800d9b71535", "short_code": "ob", "title": "ECMWF ERA5t: 10 ensemble member surface level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level analysis parameter data from 10 member ensemble runs. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. Ensemble means and spreads were calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble mean and ensemble spread data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, "onlineresource_set": [] }, { "ob_id": 32089, "uuid": "9d894e0d024e4b9694cf51f77df7bdb0", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era5t/data/enda/em_sfc/", "numberOfFiles": 17762, "volume": 27981052258, "fileFormat": "Data are netCDF formatted with internal compression.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32109, "uuid": "d90fd3f22541420ab4a0d03e8fdd92d3", "short_code": "ob", "title": "ECMWF ERA5t: ensemble means of surface level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) surface level analysis parameter data ensemble means (see linked dataset for spreads). ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. The ensemble means and spreads are calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record. See linked datasets for ensemble member and spread data.\r\n\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1).\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, "onlineresource_set": [] }, { "ob_id": 32090, "uuid": "f7a076af7c6644f6b3ab5fcea4973aa4", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era5t/data/enda/es_sfc/", "numberOfFiles": 17762, "volume": 27571182959, "fileFormat": "Data are netCDF formatted with internal compression.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32110, "uuid": "cda895d99f1d47b5b1a76aa63e73cf66", "short_code": "ob", "title": "ECMWF ERA5t: ensemble spreads of surface level analysis parameter data", "abstract": "This dataset contains ensemble spreads for the ERA5 initial release (ERA5t) surface level analysis parameter data ensemble means (see linked dataset). ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. The ensemble means and spreads are calculated from the ERA5t 10 member ensemble, run at a reduced resolution compared with the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation, for which these data have been produced to provide an uncertainty estimate. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nNote, ensemble standard deviation is often referred to as ensemble spread and is calculated as the standard deviation of the 10-members in the ensemble (i.e., including the control). It is not the sample standard deviation, and thus were calculated by dividing by 10 rather than 9 (N-1). See linked datasets for ensemble member and ensemble mean data.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects. An initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed and, if required, amended before the full ERA5 release. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record." }, "onlineresource_set": [] }, { "ob_id": 32091, "uuid": "60a01cf60ec34ca8af1bcebd1f31cf05", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ecmwf-era5t/data/oper/an_ml/", "numberOfFiles": 42818, "volume": 6338093562709, "fileFormat": "Data are netCDF formatted with internal compression.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32092, "uuid": "8177330a5f2443059b7107188c2ab3c1", "short_code": "ob", "title": "ECMWF ERA5t: model level analysis parameter data", "abstract": "This dataset contains ERA5 initial release (ERA5t) model level analysis parameter data. ERA5t is the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA5 reanalysis project initial release available upto 5 days behind the present data. CEDA will maintain a 6 month rolling archive of these data with overlap to the verified ERA5 data - see linked datasets on this record. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nSurface level analysis and forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset." }, "onlineresource_set": [] }, { "ob_id": 32097, "uuid": "97d20fdffedc4a9cb7955066d54ec8f5", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2021/vera/data/", "numberOfFiles": 53, "volume": 9160844042, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32099, "uuid": "db259fd2bad64b6da9af884121a160a6", "short_code": "ob", "title": "VERA: West Africa current vegetation and 1950 vegetation scenario ensemble mean data for June 2014", "abstract": "This dataset contains netcdf files produced from the output of UK Met Office Unified Model atmosphere-only simulations over West Africa for current vegetation and 1950s vegetation scenarios. The region covered is 20W to 20E, 0N-25N and simulations were run for 5 days from 1st June 2014 conditions using boundary conditions and sea surface temperature from ERA-Interim reanalysis. \r\n\r\nThe files contain ensemble means (from 10 member ensembles) and the results of a paired Student's T-Test between the two scenarios. There are also files for specific longitude bands and some averaged over 16W-16E, 4N-15N for all land, deforested land and unchanged land. The data is mostly hourly and allows analysis of the impact of recent deforestation in this region. The simulations were run by Julia Crook (University of Leeds) on the ARCHER supercomputer. \r\n\r\nThis data was collected as part of the NERC project 'Vegetation Effects on Rainfall in West Africa (VERA)'." }, "onlineresource_set": [] }, { "ob_id": 32104, "uuid": "d6f1c30244a144309c783f18c4b608c4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/raine/data/ncas-mobile-xband-radar/version_1", "numberOfFiles": 0, "volume": 5000000000000, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 32118, "uuid": "d066faf98f1144bc9897acd9ead05f70", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/gosat/data/ch4/invicat_amazon/v1.0/", "numberOfFiles": 2, "volume": 293715, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32117, "uuid": "88224a922439441fa6644b4564dcd90c", "short_code": "ob", "title": "Posterior South American monthly mean surface flux of methane (2010-2018) produced using the INVICAT 4D-Var inverse model.", "abstract": "This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section." }, "onlineresource_set": [] }, { "ob_id": 32120, "uuid": "d48c291a36434286a967117a4bf726da", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-gcxgc-fid/", "numberOfFiles": 3, "volume": 1039158, "fileFormat": "Data are NASA Ames formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32119, "uuid": "ee3900d930c34730bacc4cf5ada98a7d", "short_code": "ob", "title": "APHH: VOC measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains hourly VOC concentration measurements from the University of York's two-dimensional gas chromatography with flame ionisation detection instrument. This instrument was located at the Indira Gandi Delhi Technical University for Women (IGDTUW). Mixing ratios are reported in parts per billion by volume (ppbV). The stationary inlet was located on the roof of a single-story building. \r\n\r\nCalibrations have been performed using a certified NPL 30 component mixture. Certain C4 substituted monoaromatic compounds have been tentatively identified. Monoterpenes have been quantified based on their relative response to liquid injections.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, "onlineresource_set": [] }, { "ob_id": 32122, "uuid": "55780fdd52f748d395b2bbb6e3f4a1ac", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISD/subdaily/HadISDTable/r1/v3-1-1-2020f/", "numberOfFiles": 8500, "volume": 46796106598, "fileFormat": "The data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32100, "uuid": "f5a674c74cdd427594b6f3793b536cd0", "short_code": "ob", "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2020, v3.1.1.2020f", "abstract": "This is version 3.1.1.2020f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v3.1.0.2019f to include 2020 and so spans 1931-2020.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20210101_v3-1-1-2020f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014." }, "onlineresource_set": [] }, { "ob_id": 32123, "uuid": "f8df4cc288a44acda28e30125859ff9e", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/biomass/data/agb/maps/v2.0/", "numberOfFiles": 1708, "volume": 122579623645, "fileFormat": "Data are in NetCDF and GeoTiff formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v2", "abstract": "This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThe 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\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nThis release of the data is version 2, with data provided in both netcdf and geotiff format. The quantification of AGB changes by taking the difference of two maps is strongly discouraged due to local biases and uncertainties. Version 3 maps will ensure a more realistic representation of AGB changes." }, "onlineresource_set": [] }, { "ob_id": 32125, "uuid": "ea9925133d8546b1b91cd2b1a672aaff", "short_code": "result", "curationCategory": "B", "dataPath": "/neodc/iasi_metop_c/data/l1c/", "numberOfFiles": 13596, "volume": 28161792678324, "fileFormat": "EUMETSAT native IASI", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32124, "uuid": "58648f7210c84c44a91dc128d8d750d8", "short_code": "ob", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop - C satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-C satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. the IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data set contains the original processed data.. in the following directories based on processing algorithm. Please see information under the process tab for further information.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only \r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly." }, "onlineresource_set": [] }, { "ob_id": 32130, "uuid": "f6d2794538694b15af5d8fcf60d291df", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2021/ukesm1_methane_removal/data/v1/", "numberOfFiles": 2, "volume": 792376, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32132, "uuid": "1bd597257788460189e62f46d60e0b0e", "short_code": "ob", "title": "Global removal methane simulation measurements from UKESM1 model using UKCA coupled with JULES and MEDUSA", "abstract": "This dataset contains global removal methane simulation measurements from the UK Earth system models (UKESM1) model using UK Chemistry and Aerosol (UKCA) coupled with Joint UK Land Environment Simulator (JULES) and Model of Ecosystem Dynamics, nutrient Utilisation, Sequestrationand Acidification (MEDUSA). Using UKESM1, a series of simulations of methane removal were run until 2100. \r\n\r\nThe measurements include globally averaged data for methane emissions, surface temperature, and surface ozone at a monthly time period. This was completed using the new emissions-driven configuration of UKESM1. Model resolution is N96L85-ORCA1 with 85 vertical levels. Wetland methane emissions are interactively coupled to UKCA. (More details available in Sellar et al 2019 and Folberth et al 2021). The different columns are different simulations. These can be broken down into two broad categories: those based on SSP1-2.6 and those based on SSP3-7.0. \r\n\r\nFor each SSP, we created a set of methane removal simulations with the modified prescribed methane emissions shown in the corresponding columns. These were for the base SSP, a series of different removal amounts (0.25, 0.5, 0.75, 1, 1.5, and 2.0 x the removal in SSP3-7.0LowCH4) and a series of different timings for the start of removal (2020, 2030, 2040, 2050). For each simulations, global means surface temperature and ozone are gathered in this data. Location extent is full global average." }, "onlineresource_set": [] }, { "ob_id": 32147, "uuid": "8ef82c27a98642d39ff1523079d9b74b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/climatology/netcdf/monthly/v5.0/", "numberOfFiles": 13, "volume": 14088690998, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32136, "uuid": "612a615afb5d48459b385380b440b545", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Monthly climatology of global ocean colour data products, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains a monthly climatology of the generated ocean colour products covering the period 1997 - 2020.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32148, "uuid": "446a92be6300402c9be7a3a43aaaad32", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/rrs", "numberOfFiles": 11558, "volume": 7717173253487, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32137, "uuid": "5ab5267b17254152bcdbc055747faa02", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32149, "uuid": "6e6a4ff6451b4ba88bf0d7b86471c0ca", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/all_products/", "numberOfFiles": 11558, "volume": 20079027881733, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32138, "uuid": "016f577b631a429a8558796a74983154", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32150, "uuid": "edb6667eeeb94d5782e64ce6465ca6f0", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/kd", "numberOfFiles": 11558, "volume": 1477883149412, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32139, "uuid": "e2c223cdcb4844f9a1ffe9759b61eaf4", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32151, "uuid": "4c59a357abe446d1ae673f5e1a5302fd", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/chlor_a", "numberOfFiles": 11558, "volume": 1471585903536, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32140, "uuid": "66534da90ed44abebfc1b08adca4f9c3", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32152, "uuid": "552aa1b7cd044987881ea129855d5b29", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/rrs", "numberOfFiles": 11558, "volume": 7842516032563, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32141, "uuid": "f30495d4425f46c489765a2f84dd6862", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32153, "uuid": "ae869bab8dc340a5a4ddbc9156a820ea", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/iop", "numberOfFiles": 11558, "volume": 11239035141350, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32142, "uuid": "e2f9d8f61a02431997361a8827eaf558", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32154, "uuid": "1369e0c04c3942579f11d73ea96ef2a1", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/sinusoidal/netcdf/all_products", "numberOfFiles": 11558, "volume": 19740681866675, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32143, "uuid": "8154e881452f49c1ba86982ed88b20f0", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 5.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32155, "uuid": "e1cb657950af47c6b9b3119e16da076c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/kd", "numberOfFiles": 11558, "volume": 1134376467375, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32144, "uuid": "e94f2810c0794175b834153a71ac3182", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 5.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. It is computed from the Ocean Colour CCI Version 5.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32156, "uuid": "e86288027b4641fca5812cc7f9c86dee", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/chlor_a", "numberOfFiles": 11558, "volume": 1132354295611, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32145, "uuid": "e9f82908fd9c48138b31e5cfaa6d692b", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites) covering the period 1997 - 2020. Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32157, "uuid": "8a4353ad43ff4cbe89f888ec1d29a3c2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ocean_colour/data/v5.0-release/geographic/netcdf/iop", "numberOfFiles": 11558, "volume": 11274089483637, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32146, "uuid": "de75072edfca44bfaaec0ed171d86bde", "short_code": "ob", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 5.0", "abstract": "The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, data from December 2020 onwards are affected by an anomaly discovered after production and resulting in a spurious jump in remote sensing reflectance. The anomaly has been corrected in the version 5.0.1 of the dataset available through the Copernicus Climate Change Service (https://doi.org/10.24381/cds.f85b319d)\r\n\r\nVersion 6.0 of this data is now also available here: https://doi.org/10.5285/5011d22aae5a4671b0cbc7d05c56c4f0" }, "onlineresource_set": [] }, { "ob_id": 32168, "uuid": "9bca8eaf4abc4a05bc4fba1f1442e359", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/glaciers/data/IIML/Greenland/v1/2017/", "numberOfFiles": 10, "volume": 88174529, "fileFormat": "vector shapefile (.shp)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32163, "uuid": "7ea7540135f441369716ef867d217519", "short_code": "ob", "title": "ESA Glaciers Climate Change Initiative (Glaciers_cci): 2017 inventory of ice marginal lakes in Greenland (IIML), v1", "abstract": "The 2017 inventory of ice marginal lakes in Greenland (IIML) has been produced as part of the European Space Agency (ESA) Climate Change Initiative (CCI) in Option 6 of the Glaciers_cci project, and is a product that addresses the terrestrial essential climate variable (ECV) Lakes.\r\n\r\nThe IIML is a comprehensive record of all identified ice marginal lakes across the terrestrial margin of Greenland, detected using remote sensing techniques. The detected lakes are presented as polygon vector features in shapefile format, with coordinates provided in the WGS 1984 UTM Zone 24N projected coordinate system. Ice marginal lakes were identified using three independent remote sensing methods: 1) multi-temporal backscatter classification from Sentinel-1 synthetic aperture radar imagery; 2) multi-spectral indices classification from Sentinel-2 optical imagery; and 3) sink detection from the ArcticDEM (v3). All data were compiled and filtered in a semi-automated approach, using a modified version of the MEaSUREs GIMP ice mask (https://nsidc.org/data/NSIDC-0714/versions/1) to clip the dataset to within 1 km of the ice margin. Each detected lake was then verified manually. The IIML was collected to better understand the impact of ice marginal lake change on the future sea level budget and the terrestrial and marine landscapes of Greenland, such as its ecosystems and human activities.\r\n\r\nThe IIML is a complete inventory of Greenland, with no absent data." }, "onlineresource_set": [] }, { "ob_id": 32171, "uuid": "2c75534670bc44cda9247a0cee0aa3d2", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/comet/data/volcano_fp_skc/hawaii/2018_2019/", "numberOfFiles": 2, "volume": 129808, "fileFormat": "BADC CSV: Full results are included Abbreviations used in the data file: dl: below detection limit NaN : not applicable/not analysed.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32170, "uuid": "656204c257144708a641507c78187aaa", "short_code": "ob", "title": "Filter pack and cascade impactor samples of gas and aerosol particulate matter on the Island of Hawai'i (2018, 2019)", "abstract": "This dataset reports chemical speciation of airborne gas and aerosol particulate matter (PM) sampled in various locations on the Island of Hawai'i in 2018 and 2019. The 2018 samples were collected during a large eruption of Kilauea volcano. The 2019 samples were collected during a period of very low volcanic activity. \r\n\r\nSamples were collected in several locations on the Island of Hawai'i, Hawaii, USA. \r\n\r\nTime-series samples were collected at \r\n-Leilani Estates\r\n-Volcano village\r\n-Pahala, Ocean View \r\n-Kailua-Kona\r\n-Mauna Loa Observatory in 2018 and 2019. \r\n\r\nPoint-source samples were collected at the following locations \r\n-The main erupting vent 'Fissure 8' on the Kilauea Volcano in 2018, and repeated in its vicinity post-eruption in 2019\r\n- The lava ocean entry point in 2018 and repeated in its vicinity post-eruption in 2019. \r\n\r\nThe samples were collected using filter packs (FP) and Sioutas cascade impactors (SKC). The instruments were used at ground-level in all cases except for samples FP_08_1, FP_ 09_1, FP_09_2, SKC_08 and SKC_09 which were attached to an Unoccupied Aircraft System (UAS) in order to safely access the erupting vent and the lava ocean entry. \r\n\r\nThe samples were then analysed using inductively-coupled plasma mass spectroscopy (ICP-MS), inductively-coupled plasma optical emission spectroscopy (ICP-OES) and ion chromatography (IC). Sample analysis was done at the University of Leeds, United Kingdom (2018 samples) and the University of Leeds and Open University, United Kingdom (2019 samples). The results are reported as concentration per volume of air sampled (µg/m^3) to 2 significant figures. This was done to \r\n- assess the dispersion of major and trace elements in a volcanic plume, and quantify their depletion rates from the source into the far-field (up to ~240 km downwind)\r\n- assess the impact of volcanic emissions on the composition of the local atmosphere.\r\n\r\nThe data were produced as a result of a collaborative project between the Universities of Leeds, Cambridge, Oxford (UK), Hawaiian Volcano Observatory of the United States Geological Survey, and the University of Hawai'i at Manoa (USA)." }, "onlineresource_set": [] }, { "ob_id": 32181, "uuid": "fd78a2b9e3e042b4a491605f8504d1dd", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/aircraft/pantanal-greenhouse", "numberOfFiles": 8, "volume": 120756, "fileFormat": "Data are BADC-CSV formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32176, "uuid": "905032bf592d46cba7effe558b79145d", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): lower troposphere greenhouse gas data taken over Pantanal, Mato Grosso do Sul, Brazil", "abstract": "This dataset contains CH4, CO2, CO, N2O and SF6 dry air molar fraction vertical profiles over the Pantanal, Mato Grosso do Sul, Brazil with air sampled using small aircraft and analysed at Laboratório de Gases de Efeito Estufa (LAGEE), Sao Jose dos Campos, Brazil.\r\n\r\nThe air was sampled during ascent of small airplane from 4.4 km above surface down to close to the ground. A series of flasks (17 flasks) were filled sequentially. The flasks were contained in a suitcase. Valves of the flasks were opened and closed by a programmable microcontroller. After sampling the suitcase were sent by mail to the high precision gas analytics laboratory LAGEE at Instituto Nacional de Pesquisas Espaciais (INPE), Sao Jose dos Campos, Brazil where the dry air molar fractions of the air of each flask were measured.\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." }, "onlineresource_set": [] }, { "ob_id": 32183, "uuid": "e418463391fe4b06a95765c987d55065", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/stations/llanos-de-moxos", "numberOfFiles": 5, "volume": 8945, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32182, "uuid": "8c0db6a995214523a38d4e2ef2124781", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Llanos de Moxos, Bolivia", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Llanos de Moxos, Bolivia. The samples were analysed by Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nDate of campaign:\r\n-31 Mar 2017, location: -15.024 -64.811, Low to medium forest, with heights up to 7-8 meters, seasonally flooded\r\n-26 May 2017, location: -14.572 -64.869, Open savanah, ocassionally flooded, with palms and scattered trees\r\n-13 July 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs\r\n-20 Aug 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." }, "onlineresource_set": [] }, { "ob_id": 32186, "uuid": "3949d62644ef4502b2b01a2547329c11", "short_code": "result", "curationCategory": "", "dataPath": "/badc/moya/data/stations/pantanal-ufms", "numberOfFiles": 2, "volume": 6478, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32185, "uuid": "371695923931472b8cf415725b12f449", "short_code": "ob", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Pantanal research station Universidade Federal de Mato Grosso do Sul (UFMS)", "abstract": "This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Pantanal research station Universidade Federal de Mato Grosso do Sul (UFMS). The samples were analysed by Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS).\r\n\r\nThese data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1)." }, "onlineresource_set": [] }, { "ob_id": 32188, "uuid": "0915927c180a4137b5c607ef9e92523a", "short_code": "result", "curationCategory": "", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-specrad/", "numberOfFiles": 3, "volume": 17957248, "fileFormat": "Data are NASA Ames formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32187, "uuid": "b25cad50e3a0472098672264b12b20b1", "short_code": "ob", "title": "APHH: Photolysis rate measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains photolysis rate measurements made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Photolysis rates are derived from the product of the absorption cross-section of the precursor molecule, the quantum yield of the photo-product and the actinic flux density (cm-2s-1nm-1). The actinic flux is measured between 280 - 650 nm (<1 nm resolution) using a Ocean Optics spectral radiometer attached to a quartz receiver optic. Data is averaged to 1 minute time-stamp.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme." }, "onlineresource_set": [] }, { "ob_id": 32192, "uuid": "ffcfdef1739940d5b2cb66e6ef758c1b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v05.3/", "numberOfFiles": 6, "volume": 1558698, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 32191, "uuid": "0db7bf6c11284ca2a6177b85c875364a", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 05.3", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v05.3 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070" }, "onlineresource_set": [] } ] }