Result List

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            "uuid": "5d97cceff752474badf49752ab1aa71d",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/czcs/data/",
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                "ob_id": 26850,
                "uuid": "c4f160a450f540f4bacb57b4bf2f4697",
                "short_code": "ob",
                "title": "Coastal Zone Colour Scanner (CZCS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station",
                "abstract": "The Coastal Zone Colour Scanner (CZCS) was a multi-channel scanning radiometer aboard the US Nimbus 7 satellite. Nimbus 7 was launched 24 October 1978, and CZCS became operational on 2 November 1978. It was only designed to operate for one year (as a proof-of-concept), but in fact remained in service until 22 June 1986. Its operation on board the Nimbus 7 was limited to alternate days as it shared its power with the passive microwave scanning multi channel microwave radiometer.\r\n\r\nCZCS measured reflected solar energy in six channels, at a resolution of 800 meters. These measurements were used to map chlorophyll concentration in water, sediment distribution, salinity, and the temperature of coastal waters and ocean currents.\r\n\r\nThe data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive."
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        {
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            "uuid": "49cf6af0320945be86b81c386fd5bc9c",
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            "dataPath": "/neodc/seawifs/data",
            "numberOfFiles": 28012,
            "volume": 1009162845002,
            "fileFormat": "These data are in DAT file format.",
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            "observation": {
                "ob_id": 26855,
                "uuid": "1d8f70a7badd423babf3febc4dabec4c",
                "short_code": "ob",
                "title": "Sea-viewing Wide Field-of-view Sensor (SeaWiFS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station",
                "abstract": "This dataset provides optical level 0 ocean colour data. The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited on board storage and direct broadcast) at 1 km. The mission and sensor were optimised for ocean colour measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarisation sensitivity. The data were transferred to CEDA when the Dundee Satellite Receiving Station NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS Dundee node) facility was closed to continue the long term archive."
            },
            "onlineresource_set": []
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        {
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            "uuid": "74717023898848e9a6c2e484393be552",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.02/",
            "numberOfFiles": 399,
            "volume": 34388505599,
            "fileFormat": "Data are provided in ASCII and NetCDF formats.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 26858,
                "uuid": "b2f81914257c4188b181a4d8b0a46bff",
                "short_code": "ob",
                "title": "CRU TS4.02: Climatic Research Unit (CRU) Time-Series (TS) version 4.02 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2017)",
                "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.02 data are month-by-month variations in climate over the period 1901-2017, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.02 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2017.\r\n\r\nThe CRU TS4.02 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.02 is a full release, differing only in methodology from the parallel release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. \r\n\r\nThe CRU TS4.02 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies."
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        {
            "ob_id": 26861,
            "uuid": "ad4c8fc44a614b24ae6f40d25b648c3e",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.02/",
            "numberOfFiles": 2924,
            "volume": 49748484,
            "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",
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            "observation": {
                "ob_id": 26860,
                "uuid": "b177c691ce9143729e16faadbdebced8",
                "short_code": "ob",
                "title": "CRU CY 4.02: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.02 (Jan. 1901 - Dec. 2017)",
                "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.02 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 and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2018 by CRU at the University of East Anglia and extends the CRU CY4.01 data to include 2017. CRU CY4.02 is a full release, differing only in methodology from the existing current version 3 release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. 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 CY4.02 is derived directly from the CRU TS4.02 dataset. CRU CY version 4.02 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU CY4.02 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.02. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.02 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users."
            },
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        {
            "ob_id": 26864,
            "uuid": "f575d110211b425c8705aa43a061b06a",
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/1km",
            "numberOfFiles": 5926,
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            "fileFormat": "Data are NetCDF formatted",
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                "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.0.0 (1862-2017)",
                "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 data sets cover the UK at 1km x 1km resolution. These 1km x 1km 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 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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."
            },
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        {
            "ob_id": 26867,
            "uuid": "cc92172741764ff8ae0c18fcac72ca4a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.26",
            "numberOfFiles": 608,
            "volume": 8374717987,
            "fileFormat": "Data are provided in ASCII and NetCDF formats.",
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            "observation": {
                "ob_id": 26866,
                "uuid": "7ad889f2cc1647efba7e6a356098e4f3",
                "short_code": "ob",
                "title": "CRU TS3.26: Climatic Research Unit (CRU) Time-Series (TS) Version 3.26 of High-Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2017)",
                "abstract": "The gridded CRU TS (time-series) 3.26 data are month-by-month variations in climate over the period 1901-2017, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nThis version of CRU TS supersedes version 3.25, additionally however these data are superseded by the CRU TS 4.02 data which has a new processing methodology. This concurrent release of CRU TS 3.26 and CRU TS 4.02 is made to support users during the transition to the CRU TS version 4 data. No further releases of version 3 are planned.\r\n\r\nCRU TS 3.26 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2017.\r\n\r\nCRU TS 3.26 data were produced using the same methodology as for the 3.21, 3.22, 3.23, 3.24.01, 3.26 datasets. This version contains updates the dataset with 2016 data, some new stations have been added for TMP and PRE only. This release is the latest release of the CRU TS data.  Known issues predating this release remain.\r\n\r\nThe CRU TS 3.26 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies."
            },
            "onlineresource_set": []
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        {
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            "uuid": "35ea06ed7a1a4fdeb4823914c18512ee",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_cy/cru_cy_3.26",
            "numberOfFiles": 2921,
            "volume": 49743184,
            "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",
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            "observation": {
                "ob_id": 26869,
                "uuid": "799fd91ff24247e295b406af14d32914",
                "short_code": "ob",
                "title": "CRU CY3.26: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.26 (Jan. 1901 - Dec. 2017)",
                "abstract": "The CRU CY version 3.26 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 and potential evapotranspiration. \r\n\r\nThis dataset was produced in 2018 by the Climatic Research Unit (CRU) at the University of East Anglia and supersedes version 3.25, additionally however these data are superseded by the CRU CY 4.02 data which has a new processing methodology. This concurrent release of CRU CY 3.26 and CRU CY 4.02 is made to support users during the transition to the CRU CY version 4 data. No further releases of version 3 are planned.\r\n\r\nAn updated set of country definitions have been introduced with this version. Please see the appropriate Release Notes. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.26 is derived directly from the CRU TS3.26 dataset. CRU CY version 3.26 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU-CY3.26 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.26. It is therefore recommended that all users read the Harris et al, 2014 paper listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users."
            },
            "onlineresource_set": [
                26438
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        },
        {
            "ob_id": 26872,
            "uuid": "cda4f3d9fe74464d86aede9dfb1bd387",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/12km",
            "numberOfFiles": 5926,
            "volume": 8773458413,
            "fileFormat": "Data are NetCDF formatted",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 26871,
                "uuid": "dc2ef1e4f10144f29591c21051d99d39",
                "short_code": "ob",
                "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.0.0 (1862-2017)",
                "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 data set at 12 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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."
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        {
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/25km",
            "numberOfFiles": 5926,
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                "ob_id": 26874,
                "uuid": "c8ed5d039558446bbcd12b695389abb1",
                "short_code": "ob",
                "title": "HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.0.0 (1862-2017)",
                "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 data set at 25 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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": []
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        {
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/60km",
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                "ob_id": 26877,
                "uuid": "a2fb07be9622439fa191f0e596f5e4f9",
                "short_code": "ob",
                "title": "HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.0.0 (1862-2017)",
                "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 data set at 60 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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": []
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        {
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/region",
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            "observation": {
                "ob_id": 26880,
                "uuid": "373c4edbcbdd41c3be6c6de6abb5afeb",
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                "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.0.0 (1862-2017)",
                "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 1km 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 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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."
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            "onlineresource_set": []
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        {
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/river",
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                "ob_id": 26883,
                "uuid": "607a713e4a0e4a229dac1b23fd6d41a6",
                "short_code": "ob",
                "title": "HadUK-Grid Climate Observations by UK river basins, v1.0.0.0 (1862-2017)",
                "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 1km 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 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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."
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                "short_code": "ob",
                "title": "HadUK-Grid Climate Observations by UK countries, v1.0.0.0 (1862-2017)",
                "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 1km 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 2017, but the start time is dependent on climate variable and temporal resolution. The grids 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 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\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."
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                "short_code": "ob",
                "title": "MIDAS Open: UK daily rainfall data, v201901",
                "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 2017. 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 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."
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                "short_code": "ob",
                "title": "APHH: Atmospheric dispersion model footprint plots made at the Delhi site during the 2018 campaign",
                "abstract": "The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) was used at the University of Leicester to produce atmospheric dispersion footprints centred on Delhi for use by the projects under the Atmospheric Pollution & Human Health in a Developing Megacity (APHH) programme. These footprints are created by model runs in which thousands of particles are released from the chosen location and are tracked backwards in time."
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                "uuid": "0049795739e44310a4982e26d8e26748",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily weather observation data, v201901",
                "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 2017. 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 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. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection."
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                "ob_id": 26894,
                "uuid": "7aaa582fb00246b794dc85950f1be265",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly rainfall data, v201901",
                "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\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 2017.\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."
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            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-201901/",
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            "observation": {
                "ob_id": 26437,
                "uuid": "a39add95a8dc49709f6e984c020c8dbc",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily temperature data, v201901",
                "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 2017. 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 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. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection."
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            "observation": {
                "ob_id": 26896,
                "uuid": "c58c1af69b9745fda4cdf487a9547185",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly weather observation data, v201901",
                "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 2017.\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."
            },
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            "dataPath": "/badc/ukmo-midas-open/data/uk-mean-wind-obs/dataset-version-201901/",
            "numberOfFiles": 13725,
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                "short_code": "ob",
                "title": "MIDAS Open: UK mean wind data, v201901",
                "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 2017. For 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 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."
            },
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            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-201901/",
            "numberOfFiles": 22503,
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            "fileFormat": "Data are BADC-CSV formatted.",
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            "observation": {
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                "uuid": "a7ba08d073eb40a9aab5e312f371d007",
                "short_code": "ob",
                "title": "MIDAS Open: UK soil temperature data, v201901",
                "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 2017.\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 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."
            },
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        {
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            "uuid": "970aebbcff064c548f96accd65ba8cb9",
            "short_code": "result",
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            "dataPath": "/badc/ukcp18/data/land-rcm/eur/12km",
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                "short_code": "ob",
                "title": "UKCP18 Regional Projections at 12km Resolution for 1980-2080",
                "abstract": "Regional climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover Europe and a 100-year period, 01/12/1980-30/11/2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. \r\n\r\nThis dataset contains 12km data for Europe on the 12km rotated pole grid. Further information on this dataset and UKCP18 can be found in the documentation section."
            },
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        {
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            "dataPath": "/neodc/qa4ecv/data/sea_ice/",
            "numberOfFiles": 39313,
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            "fileFormat": "These data are in NetCDF format",
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            "observation": {
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                "uuid": "38296ae73f3b44f5b8d66dcc3ed398bd",
                "short_code": "ob",
                "title": "QA4ECV Polar sea-ice spectral albedo (2000-2016)",
                "abstract": "The Quality Assurance for Essential Climate Variables (QA4ECV) project produced four daily polar sea-ice products, each with a different averaging time window (24 hours, 7 days, 15 days, 31 days). For each time window, the number of samples, mean and standard deviation of Multi-angle Imaging SpectroRadiometer (MISR) cloud-free sea ice albedo was calculated. These products are on a predefined polar stereographic grid at three spatial resolutions (1 km, 5 km, 25 km). The time span of the generated sea ice albedo covers the months between March and September of each year from 2000 to 2016 inclusive.\r\n\r\nIf publishing results based on this dataset, please cite the following: S. Kharbouche and J.-P. Muller, “Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,” Remote Sensing, vol. 11,no. 1, p. 9, Dec. 2018. DOI: 10.3390/rs11010009. URL:http://www.mdpi.com/2072-4292/11/1/9"
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            "fileFormat": "The data are NetCDF formatted.",
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        {
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            "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",
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            "observation": {
                "ob_id": 26916,
                "uuid": "efa3a90efb5e4a4e961a2f4ddd5dd663",
                "short_code": "ob",
                "title": "FAAM C124 MOYA 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 Methane Observations and Yearly Assessments (MOYA) project."
            },
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        {
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            "short_code": "result",
            "curationCategory": "A",
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            "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",
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            "observation": {
                "ob_id": 26920,
                "uuid": "dfabd91ff8034897b101d2c31e2301c7",
                "short_code": "ob",
                "title": "FAAM C125 MOYA 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 Methane Observations and Yearly Assessments (MOYA) project."
            },
            "onlineresource_set": []
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        {
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            "uuid": "5f99aa69a29e4412ab517670974eadfb",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/aphh/data/beijing/birm-hono-combined",
            "numberOfFiles": 3,
            "volume": 94091,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 26923,
                "uuid": "71229b203b874d79b95b4d0ed0eae931",
                "short_code": "ob",
                "title": "APHH: Atmospheric nitrous acid (HONO) combined measurements made at the IAP-Beijing site during the summer and winter campaigns",
                "abstract": "This dataset contains atmospheric nitrous acid (HONO) combined measurements made at the Institute of Atmospheric Physics land station (IAP-Beijing) site, during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nThis combined dataset consists of a single mean time series of HONO mixing ratio (ppb), and associated min/max values determined from the datasets of 4 instruments that measured HONO at IAP at ground level. The data are averaged over 1 hour, the time stamp represents the start time of each averaging period.\r\n\r\nThe instruments included in the combined dataset are the University of Birmingham commercial wet-chemical LOPAP instrument (Heland et al. 2001), Institute of Chemistry, Chinese Academy of Sciences custom built wet-chemical instrument (Tong et al. 2016), and two custom built Broadband Cavity Enhanced Spectrophotmeters (BBCEAS) from the University of Cambridge (Kennedy et al. 2011) and Anhui Institute of Optics and Fine Mechanics (Duan et al. 2018)."
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            "dataPath": "/neodc/eustace/data/station/ubern/land/global/daily/v1.0/",
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            "observation": {
                "ob_id": 20093,
                "uuid": "7925ded722d743fa8259a93acc7073f2",
                "short_code": "ob",
                "title": "EUSTACE:  Global land station daily air temperature measurements with non-climatic discontinuities identified, for 1850-2015",
                "abstract": "This dataset consists of a global collection of land surface air temperature data from meteorological stations covering the period from 1850-2015.  It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project.\r\n\r\nThe dataset provides daily maximum and minimum temperatures from stations globally, brought together from a number of public databases: Global Historical Climatology Network Daily Temperatures (GHCN-D);  European Climate Assessment & Dataset (ECA&D) non-blended; International Surface Temperature Initiative (ISTI);  DECADE (Data on Climate and Extreme weather for the Central Andes); and ERA-CLIM (European Reanalysis of Global Climate Observations).  These data have then  been quality controlled through the removal of duplicates and unreliable data sources, and come with a large amount of additional information on quality, homogeneity and resolution.\r\n\r\nThis data is available for non-commercial use."
            },
            "onlineresource_set": []
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            "curationCategory": "A",
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                "uuid": "cdbb34e32aed4299b7e06e0d742bc673",
                "short_code": "ob",
                "title": "FAAM C113 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."
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            "onlineresource_set": []
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/faam/data/2018/c114-sep-05",
            "numberOfFiles": 24,
            "volume": 776621858,
            "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",
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            "observation": {
                "ob_id": 26937,
                "uuid": "073152251e4940e899113a96d72afc68",
                "short_code": "ob",
                "title": "FAAM C114 Instrument Test flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites 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."
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            "onlineresource_set": []
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        {
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            "uuid": "b0dfef0d789a4080b360e4b906a7d814",
            "short_code": "result",
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                "title": "FAAM C115 Instrument Test flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites 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."
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                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites 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."
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                "title": "FAAM C117 AEOG flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations project."
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                "title": "FAAM C118 AEOG flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations project."
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                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations project."
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                "title": "FAAM C120 AEOG flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
                "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations project."
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                "title": "FAAM C122 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."
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                "title": "FAAM C126 MOYA 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 Methane Observations and Yearly Assessments (MOYA) project."
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                "short_code": "ob",
                "title": "Questionnaire findings on Public Perception of Environmental Challenges in Greater Manchester (UK)",
                "abstract": "This dataset contains a spreadsheet of responses to a questionnaire asking participants about their perceptions of global environmental challenges. This data has been fully anonymised by the author. The questionnaire (n=365) was conducted in Greater Manchester (UK) and the data collection took place between 2017 and 2018. Participants were recruited following a stratified random sampling technique to ensure that the number of participants recruited in each district  of Greater Manchester was proportional to the number of inhabitants. The recruitment of participants was conducted mostly at street level. When comparing our sample with the most recent census data (2011), the project finds it to be sufficiently representative of the population of Greater Manchester. \r\n\r\nThe questionnaire was designed to: (1) identify which environmental hazards (flooding, pollution, severe weather, landslides, volcanos, radiation, earthquakes, tsunamis, tornados, and wildfires) are perceived by respondents in Greater Manchester to be most threatening; (2) compare how concerning these are perceived to be in relation to other non-environmental hazards relevant to this region (unemployment, terrorist attacks, cyber-attacks, and immigration); (3) explore what negative impacts are most reported as a consequence of environmental hazards (health issues, damage to infrastructure, damage to the economy, disruption to utilities, or disruption to the environment); (4) ascertain whether environmental hazards are perceived to be caused by human or natural forces; (5) identify the groups that are perceived to be most responsible for tackling environmental hazards (international organizations, national government, local government, scientists, environmental organizations, individuals, or business and industry.); and (6) identify preferred information sources when it comes to environmental hazards in terms of different media (social media, newspapers, radio, TV, games, special events, leaflets, specialist publications, or official websites), and in terms of different groups (friends and family, scientists, government, local organizations, media, or environmental organizations)."
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                "short_code": "ob",
                "title": "CORDEX EUR-44 data produced by the Met Office Hadley Centre regional climate models HadRM3P and HadGEM3-RA",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional models HadGEM3-RA and HadRM3P running at 0.44 degree resolution over the Europe CORDEX domain (EUR-44). \r\nHadGEM3-RA is a regional atmospheric model that is based on the atmospheric component of the HadGEM3 Global Environment Model. \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadGEM3-RA and HadRM3P models are driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2010.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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                "ob_id": 26976,
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                "short_code": "ob",
                "title": "CORDEX EUR-44i data produced by the Met Office Hadley Centre regional model HadRM3P and interpolated to a common latitude-longitude grid",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Europe CORDEX domain (EUR44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim re-analysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_jra/cru_jra_1.1/",
            "numberOfFiles": 1173,
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            "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year. Each file is approximately 330MB when compressed.",
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                "ob_id": 26978,
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                "short_code": "ob",
                "title": "CRU JRA v1.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2017.",
                "abstract": "The CRU JRA V1.1 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 2017.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 3.26 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 CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP 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., 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"
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            "fileFormat": "Data are provided by ESA in zipped SAFE format.",
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            "observation": {
                "ob_id": 19019,
                "uuid": "1b95268e94d44ede88eac442d0b0d473",
                "short_code": "ob",
                "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 1B data",
                "abstract": "This dataset contains level 1b altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th of February 2016. \r\n\r\nThese data contain geo-located and fully calibrated multi-looked High-Resolution power echoes. \r\nThese level 1b products are geo-located and fully calibrated multi-looked High-Resolution power echoes. Complex echoes (In-phase (I) and Quadrature (Q)) for the Low-Resolution Mode (LRM) and/or Synthetic Aperture Radar (SAR) mode both for C Band and Ku band. When the altimeter is in SAR mode, this product also contains the so-called Pseudo LRM (PLRM) echoes. All Sentinel-3 Non-Time Critical (NTC) products are available in less than 30 days. Data are provided by ESA and are made available via CEDA to any registered user. The level 1B SAR product contains the same variables as the level 1B-S product except for the waveform and the stack characterisation parts. A level 1B waveform is the average of each stack and is provided in samples (power waveform) in the frequency domain (range domain).\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user."
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            "dataPath": "/neodc/esacci/fire/data/burned_area/MODIS/grid/v5.1/",
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                "uuid": "3628cb2fdba443588155e15dee8e5352",
                "short_code": "ob",
                "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.1",
                "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The MODIS Fire_cci v5.1 grid product described here contains gridded data on global burned area derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2019.  This product supercedes the previously available MODIS v5.0 product. The v5.1 dataset was initially published for 2001-2017, and has later been periodically extended to include 2018 to 2022. \r\n\r\nThis gridded dataset has been derived from the MODIS Fire_cci v5.1 pixel product (also available) by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution.   Information on burned area is included in 23 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land_Cover_cci v2.0.7  product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation."
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                "uuid": "e6d7731a67644e0fb5912ab248f0729b",
                "short_code": "ob",
                "title": "Sentinel 3B Sea and Land Surface Temperature Radiometer (SLSTR) Level 1B radiances and brightness temperature data",
                "abstract": "This dataset contains Radiances and Brightness Temperature data from the Sea and Land Surface Temperature Radiometer (SLSTR) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature (LST), active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user."
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                "title": "Sentinel 3B Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data",
                "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3B the OLCI instrument provides a spatial resolution of 300m.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files."
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                "title": "ESA Fire Climate Change Initiative (Fire_cci): Small Fire Database (SFD) Burned Area grid product for Sub-Saharan Africa, version 1.1",
                "abstract": "The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Database (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from MODIS MOD14MD Collection 6 active fire products.\r\n\r\nThis gridded dataset has been derived from the Small Fire Database (SFD) Burned Area pixel product for Sub-Saharan Africa, v1.1 (also available), which covers Sub-Saharan Africa for the year 2016, by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution."
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                "short_code": "ob",
                "title": "Global gas flaring activity from the ATSR (1991-2012) and SLSTR (2017-2018) sensors",
                "abstract": "This dataset contains Global gas flaring activity from the Along Track Scanning Radiometer (ATSR) (1991-2012) and Sea and Land Surface Temperature Radiometer (SLSTR) (2017-2018) sensors. The data records have been processed to identify persistent thermal anomalies with spectral characteristics consistent with the combustion of natural gas during industrial gas flaring activities.\r\n\r\nTwo different datasets are produced globally for each sensor type, one recording the activity and the other the sampling of these assumed gas flaring sites.\r\n\r\nThe activity dataset records whenever a flare is up, i.e. is actively combusting, and provides a characterisation of the flares behaviour in terms of radiant heat output (in W). The determination of radiant heat output is achieved using the single channel SWIR radiance method of Fisher and Wooster (2018), based on the MWIR radiance method used extensively in the analysis of biomass burning.\r\n\r\nThe sampling dataset records whenever a flaring site is seen by the satellite (irrespective of whether it is up or not) and also provides information on typical levels of cloud cover in the vicinity of the flare.\r\n\r\nThe activity dataset contains information on the point location of the flare (accurate to within approximately ±1km) in the form of a lat/lon coordinate. Also provided is an index lookup that can be used to simply aggregate the flaring activity into arc-minute bins and these are referred to as lat_arcmin and lon_arcmin in the dataset.\r\n\r\nThe sampling dataset is provided at the spatial level of the arc-minute binning only, and when merged onto the activity dataset long-term assessment of a flaring site can be performed. Such estimates of flaring activity over extended time periods for a given flaring site can be made by calculating the flare up-time (times seen actively flaring over time period or the expected number of cloud free overpasses for time period) and the mean radiant heat output of the flare for the same time period. The product of time period (in seconds), the estimated flare up-time and the mean radiant heat output provides an estimate of typical flare activity."
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                "uuid": "02c6f4eea9914e5c8a8390dd09e5709a",
                "short_code": "ob",
                "title": "Global predicted sea-surface iodide concentrations v0.0.0",
                "abstract": "This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution. This dataset was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThe main ensemble prediction (\"Ensemble Monthly mean \") is provided in a NetCDF (1) file as a single variable. A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nThis is the output of the paper 'A machine learning based global sea-surface iodide distribution' (see related documentation). For ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, we will update the global dataset through a \"living data\" model. The dataset versions archived here follow semantic versioning (https://semver.org/) The pre-review dataset is achieved in the folder named v0.0.0, with the with publically released versions numbered starting from v1.0.0. Please refer to the referenced paper (see related documentation) for the current version number and information on this."
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        {
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            "fileFormat": "Data are CSV formatted.",
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            "short_code": "result",
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            "dataPath": "/badc/deposited2019/operation-weather-rescue/data/ben-nevis-data",
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            "observation": {
                "ob_id": 27035,
                "uuid": "1d29816cee7e4fb586b80a3f7debcb8e",
                "short_code": "ob",
                "title": "Meteorological Observations taken from Ben Nevis and Fort William (1883 -1904)",
                "abstract": "This dataset contains meteorological observations taken from Ben Nevis and Fort William (1883 -1904). These records were produced as part of the Operation Weather Rescue project. \r\n\r\nBetween 1883 and 1904, detailed meteorological observations were taken at the summit of Ben Nevis (56.80N, 5.00W, 1345m elevation) and in the town of Fort William (56.81N, 5.12W, 13m elevation). Hourly observations include temperature (both wet and dry bulb), rainfall, atmospheric pressure at both locations. Daily observations include minimum and maximum temperatures and rainfall. Additional observations taken at Fort William School during the same period are also included. Units are Celsius for temperature, mm for rainfall and mb for pressure.\r\n\r\nV2 is the latest version."
            },
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        {
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            "curationCategory": "A",
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            "numberOfFiles": 1,
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            "observation": {
                "ob_id": 27047,
                "uuid": "c47ee635b055465da578404741e3170f",
                "short_code": "ob",
                "title": "CORDEX EAS-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the East Asia CORDEX domain (EAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
            },
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        {
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            "curationCategory": "A",
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            "observation": {
                "ob_id": 27044,
                "uuid": "899d557f993c4f94a83694582d922f76",
                "short_code": "ob",
                "title": "CORDEX EAS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Central Asia CORDEX domain (EAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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            "uuid": "45c8ad6a3c244c759e008938c9fffc09",
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            "observation": {
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                "uuid": "5d1af7fc779346de86de4a6fcf750912",
                "short_code": "ob",
                "title": "Microphysics of Antarctic Clouds: Polar-optimised Weather Research and Forecasting (PWRF) model simulations for case study with BAS MASIN twin-otter flights 218 and 219",
                "abstract": "The NERC-funded Microphysics of Antarctic Clouds (MAC) project was centred on an aircraft campaign measuring clouds, aerosols, and boundary layer properties over the Weddell Sea, Antarctica.   These data are simulations of the Polar-optimised Weather Research and Forecasting (PWRF) model for 5 configurations of the model's Morrison microphysics scheme, produced for a case study of two separate flights over the same region during the campaign (British Antarctic Survey MASIN twin-otter aircraft flights 218 an 219 on 27th November 2015).  Each simulation contains data from two domains - a parent domain with 5km grid size and a nest with a 1km grid size.\r\n\r\nThe control  simulation used default physics options in the PWRF model's Morrison microphysics scheme. For the no-threshold, 2xHM, 5xHM, 10xHM simulations, thresholds restricting Hallett-Mossop secondary ice production in the PWRF model's Morrison microphysics scheme were removed, and for the 2xHM, 5xHM, and 10xHM cases the corresponding ice multiplication factor was increased by a factor of 2, 5 or 10. \r\n\r\nIn all simulations, an approximation of the DeMott et al., 2010 (PNAS) parametrization used for primary ice nucleation. \r\n \r\nMethodology and further details can be found in Young et al., 2019 (Geophysical Research Letters): Radiative effects of secondary ice enhancement in coastal Antarctic clouds."
            },
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        {
            "ob_id": 27059,
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cordex/data/cordex/output/AUS-44/MOHC/ECMWF-ERAINT/evaluation",
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                "ob_id": 27058,
                "uuid": "0a0f559a083f4cea84971dd486e0efa3",
                "short_code": "ob",
                "title": "CORDEX AUS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_calving_front_locations/v3.0/",
            "numberOfFiles": 4369,
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            "fileFormat": "Dara are ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 27057,
                "uuid": "8889dfe3de45406e815bce13ae8a0c92",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0",
                "abstract": "The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet, produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nThe Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change.  \r\n\r\nThe calving front location has been derived by manual delineation using SAR (Synthetic Aperture Radar) data from the  ERS-1/2, Envisat and Sentinel-1 satellites  and  satellite imagery from LANDSAT 5,7,8.    The digitized calving fronts are stored in ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table.\r\n\r\nThe product was generated by ENVEO (Environmental Earth Observation Information Technology GmbH)"
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            "observation": {
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                "uuid": "7fe8ea09ad984453b689aa3668a428b9",
                "short_code": "ob",
                "title": "CORDEX AUS-44i data produced by the Met Office Hadley Centre regional climate model HadRM3P and interpolated to a common latitude-longitude grid",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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            "storageStatus": "online",
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                "title": "QA4ECV BHR-TIP FAPAR/ effective LAI (1982-2016)",
                "abstract": "The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product is produced using a Two Stream Inversion Package (TIP) method applied to visible (VIS) and near infrared (NIR) broadband albedos (from the QA4ECV albedo product). The definition of FAPAR in this product is the simulated absorption of the photosynthetically active radiation (estimated for the visible band) by a homogeneous canopy of infinitesimally small Lambertian surfaces, akin to a turbid medium."
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            "observation": {
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                "short_code": "ob",
                "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2018, v3.0.0.2018f",
                "abstract": "This is version 3.0.0.2018f of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v2.0.2.2017f to include 2018 and so spans 1931-2018.\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_19310101-20181231_v3-0-0-2018f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. 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., 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."
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                "ob_id": 27102,
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                "short_code": "ob",
                "title": "Saturation vapour pressures of atmospherically relevant organic compounds",
                "abstract": "This dataset contains values of saturation vapour pressures of atmospherically relevant organic compounds, derived from the University of Manchester Knudsend Effusion Mass Spectrometer (KEMS). This dataset was collected as part of the International network for coordinating work on the physicochemical properties of molecules and mixtures important for atmospheric particulate matter project, funded by the Natural Environment Research Council (NERC, grant: NE/N013794/1)."
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            "observation": {
                "ob_id": 27092,
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                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.4",
                "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) 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 v04.4 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 covers the period 1991-08-05 to 2018-06-30 and is expressed in percent of saturation [%]. 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 web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. 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\n2. 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\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
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            "observation": {
                "ob_id": 27108,
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                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.4",
                "abstract": "The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.4 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. 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 web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. 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\n2. 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\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
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                "ob_id": 27110,
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                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.4",
                "abstract": "The Soil Moisture CCI COMBINED dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) 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 and SMOS satellite instruments. \r\n\r\nThe v04.4 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 2018-06-30. 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 web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. 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\n2. 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\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
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        {
            "ob_id": 27114,
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            "observation": {
                "ob_id": 27113,
                "uuid": "dff5410043ee4d2094cdf3b9b5284a63",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.4",
                "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 v04.4 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. 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\n2. 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\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
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                "title": "CORDEX AFR-44 data produced by the Met Office Hadley Centre regional climate models HadRM3P and HadGEM3-RA",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional models HadGEM3-RA and HadRM3P running at 0.44 degree resolution over the Africa CORDEX domain (AFR-44). \r\nHadGEM3-RA is a regional atmospheric model that is based on the atmospheric component of the HadGEM3 Global Environment Model. \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadGEM3-RA and HadRM3P models are driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2010.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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                "short_code": "ob",
                "title": "CORDEX AFR-44i data produced by the Met Office Hadley Centre regional model HadRM3P and interpolated to a common latitude-longitude grid",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Africa CORDEX domain (AFR44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim re-analysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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                "ob_id": 27115,
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                "title": "CORDEX ANT-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Antarctica Domain (ANT-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Antarctica CORDEX domain (ANT-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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                "title": "CORDEX ARC-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P",
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                "ob_id": 27101,
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                "title": "CORDEX CAS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P",
                "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Central Asia Domain (CAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Central Asia CORDEX domain (CAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain.  Each variable is stored at the daily timescale.  The collection also includes monthly and seasonal averages.  In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies."
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            "observation": {
                "ob_id": 27148,
                "uuid": "fcebbb5ad28947378ee874ea1569c2a1",
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