Result List

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            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/sinusoidal/netcdf/rrs/",
            "numberOfFiles": 8092,
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            "observation": {
                "ob_id": 19885,
                "uuid": "8b087afe9d53471ea98ffa092867d289",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 2.0",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded.  Later version of the data are now available."
            },
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        {
            "ob_id": 20080,
            "uuid": "2abdfa29c38c45428f3bacfe495c8dcf",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/sinusoidal/netcdf/kd/",
            "numberOfFiles": 8082,
            "volume": 694723321079,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 19884,
                "uuid": "b548475d0a5d4a2b8de40e7b1fa40d7a",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 2.0",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 2.0 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 2.0 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20082,
            "uuid": "243e259cbed44a6ca29c19b02834f0ef",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/sinusoidal/netcdf/iop/",
            "numberOfFiles": 8089,
            "volume": 6904794057143,
            "fileFormat": "Data are in NetCDF",
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            "observation": {
                "ob_id": 20081,
                "uuid": "b70578ae62b745ec9dc2ba42d2ee1311",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 2.0",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 2.0 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note,  the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            },
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        {
            "ob_id": 20083,
            "uuid": "72197e44cab149229c341d00e01f0151",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/geographic/netcdf/all_products/climatology",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are in NetCDF format",
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        {
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            "uuid": "d8de1f5b467a4079852c4e3a4ee57f3e",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/geographic/netcdf/all_products/",
            "numberOfFiles": 8130,
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            "fileFormat": "Data are in NetCDF format",
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            "observation": {
                "ob_id": 19892,
                "uuid": "a897196a8e2b4c30ab8d22dbfe8f98c7",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 2.0",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            },
            "onlineresource_set": []
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        {
            "ob_id": 20085,
            "uuid": "dcc41f05272b4f228b2fc119ccb18801",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ocean_colour/data/v2-release/sinusoidal/netcdf/all_products",
            "numberOfFiles": 8085,
            "volume": 12921733173515,
            "fileFormat": "Data are in NetCDF format",
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            "observation": {
                "ob_id": 19880,
                "uuid": "76ad6afa787d4c469122f0b472a988c0",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 2.0.",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 2.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later version of the data are now available."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20099,
            "uuid": "4943478a0a3745d7a562e45ca995400a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/amazonica/data/greenhousegases/",
            "numberOfFiles": 10,
            "volume": 1082148,
            "fileFormat": "Data are ASCII and NASA Ames formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 25437,
                "uuid": "5f56428ca2674a45bbf97179d853df0e",
                "short_code": "ob",
                "title": "Amazonica: Greenhouse gas profile measurements (CO, CO2, CH4) above the forest canopy at four sites",
                "abstract": "Profiles of greenhouse gases CO, CO2 and CH4 taken on board a small aircraft descending in a spiral from approximately 4,420m to about 300m a.s.l. (as close to the forest canopy as possible). Samples were taken by semi-automatically filling 12 (for the Tabatinga (TAB 69.7W, 6.0S), Alta Floresta (ALF 56.7W, 8.9S) and Rio Branco (RBA 67.9W, 9.3S) sites) and 17 (for the Santarem (SAN 65.0W, 2.9S) site) 0.7-litre flasks controlled from a microprocessor and contained in one suitcase. \r\n\r\nThe profiles were taken frequently throughout the measurement campaign (2010-2012) between 12:00 and 13:00 local time - at which time, the boundary layer is close to being fully developed. Once a vertical profile had been sampled (one suitcase filled) it was analysed  at the IPEN Atmospheric Chemistry Laboratory in Sao Paulo, using a replica of the NOAA/ ESRL trace gas analysis system."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20104,
            "uuid": "1cb8be9087194290bb037298dff0d83f",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_margin_PALSAR_timeseries_2006_2011/v1.1",
            "numberOfFiles": 19,
            "volume": 98358325,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 19877,
                "uuid": "84b5cf8380894d719b61deac5abf3bae",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Greenland Margin from the PALSAR instrument for 2006-2011, v1.1 (June 2016 version)",
                "abstract": "This dataset contains a time series of ice velocities for the Greenland margin from the PALSAR instrument on the ALOS satellite. It has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.     \r\n\r\nThis dataset consists of a time series of ice velocity with yearly sampling, derived from intensity tracking of PALSAR data acquired between 20-12-2016 and 17-03-2011.  It provides components of the ice velocity and the magnitude of the velocity.\r\n\r\n The data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E).  The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid; the vertical displacement (z), derived from a digital elevation  model, is also provided.  Please note that the previous versions of this product provided the horizontal velocities as true East and North velocities.\r\n\r\nBoth a single NetCDF file (including all measurements and annotation), and separate geotiff files with the velocity components are provided.  The product was generated by GEUS.  For further details, please consult the Product User Guide (v2.0)\r\n\r\nPlease note - this product was released on the Greenland Ice Sheets download page in June 2016, but an earlier product (also accidentally labelled v1.1) was available through the CCI Open Data Portal and the CEDA archive until 29th November 2016.  Please now use the later v1.1 product."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20105,
            "uuid": "edb22f38cd974d0aa75ceb244e957f08",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_upernavik_timeseries_1992_2010/v1.1",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are in NetCDF and GeoTiff",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
        },
        {
            "ob_id": 20106,
            "uuid": "6b1fab6f422140538ab927ee24643cf3",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_margin_ERS2_1995_1996/v1.1",
            "numberOfFiles": 8,
            "volume": 69038097,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 19878,
                "uuid": "0b23b3c771db4fff8958196432d978cb",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Greenland Margin from ERS-2 for winter 1995-1996, v1.1 (June 2016 release)",
                "abstract": "This dataset contains ice velocities for the Greenland margin for winter 1995-1996, which have been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.  The data were derived from intensity-tracking of ERS-2 data acquired between 03-09-1995 and 29-03-1996. It provides components of the ice velocity and the magnitude of the velocity.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E).  The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid;  the vertical displacement (z), derived from a digital elevation model, is also provided.  Please note that previous versions of this product provided the horizontal velocities as true East and North velocities.\r\n\r\nBoth a single NetCDF file (including all measurements and annotation), and separate geotiff files with the velocity components are provided.  The product was generated by DTU Space - Microwaves and Remote Sensing.  For further information please see the product user guide.\r\n\r\nPlease note - this product was released on the Greenland Ice Sheets download page in June 2016, but an earlier product (also accidentally labelled v1.1) was available through the CCI Open Data Portal and the CEDA archive until 29th November 2016. Please now use the later v1.1 product."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20107,
            "uuid": "dcfa387c4e504ed8803a8643baae87ca",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_jakobshavn_timeseries_2002_2010/v1.1",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
        },
        {
            "ob_id": 20109,
            "uuid": "68b0854b64c34ecb8aee71635ae5b29b",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_northern_drainage_basins_ERS1_winter_1991_1992/v1.1",
            "numberOfFiles": 8,
            "volume": 58641253,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 20108,
                "uuid": "e4f39152bc50466f8887bd2a343cac93",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity data for the Greenland Northern Drainage basin from ERS-1 for winter 1991-1992, v1.1 (June 2016 release)",
                "abstract": "This dataset contains ice velocities for the Greenland Northern Drainage Basin for winter 1991-1992, which have been produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.  The data has been derived from intensity-tracking of ERS-1 Ice phase (3 days repeat) data aquired between 29th December 1991 and 22nd March 1992.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E). The horizontal velocity is provided in true meters per day, towards EASTING(x) and NORTHING(y) direction of the grid, and the vertical displacement (z), derived from a digital elevation\r\nmodel, is also provided.  (Please note that in earlier versions of this product the horizontal velocities were provided as true East and North velocities).\r\n\r\n  Both a single NetCDF file (including all measurements and annotation), and separate geotiff files with the velocity components are provided. The product was generated by DTU Space - Microwaves and Remote Sensing.\r\n\r\nPlease note - this product was released on the Greenland Ice Sheets download page in June 2016, but an earlier product (also accidentally labelled v1.1) was available through the CCI Open Data Portal and the CEDA archive until 29th November 2016. Please now use this later v1.1 product."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20110,
            "uuid": "332d0b3c55814c648c2896d17cdc49c1",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_surface_elevation_change/cryosat2/v2.0/",
            "numberOfFiles": 24,
            "volume": 44708069,
            "fileFormat": "Data are in png, NetCDF and gridded ASCII formats",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 19985,
                "uuid": "a9f4876560234ded84ac87eb9d4853c6",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change from Cryosat-2, v2.0",
                "abstract": "This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from Cryosat 2 satellite radar altimetry, for the time period between 2010 and 2015.\r\n \r\nThe surface elevation change data  are provided as 2-year means (2011-2012, 2012-2013, 2013-2014 and 2014-2015), and a five-year mean is also provided (2011-2015), along with their associated errors.   Data are provided in both NetCDF and gridded ASCII format, as well as png plots.\r\n\r\nThe algorithm used  to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, which has been submitted to Remote Sensing of the Environment."
            },
            "onlineresource_set": []
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        {
            "ob_id": 20111,
            "uuid": "f9d978a9d2a348758d2c86d8536a4e30",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2015_2016/v1.0",
            "numberOfFiles": 8,
            "volume": 363850037,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 19870,
                "uuid": "369f9e483e0d4646a144d37f4f88f9fe",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map Winter 2015-2016, v1.0",
                "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2015-2016, derived from Sentinel-1 SAR data, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.   \r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E). The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid; the vertical displacement (z), derived from a digital elevation model, is also provided. Please note that previous versions of this product provided the horizontal velocities as true East and North velocities."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20112,
            "uuid": "88c7c62f6b1b4454bbffc1786f89317a",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2013_2014/v1.0",
            "numberOfFiles": 8,
            "volume": 371218762,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 19869,
                "uuid": "9bdeb99d91a743fe84623264587ad043",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map Winter 2013-2014, v1.0",
                "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2013-2014, derived from RADARSAT-2 data, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.  The ice velocity data were derived from intensity-tracking of RADARSAT-2 data aquired between 21/1/2014 and 02/04/2014. \r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E).  The horizontal velocity is provided in true meters per day, towards the Eastings and Northings direction of the grid; the vertical displacement, derived from a digital elevation model, is also provided.  Both a single NetCDF file (including all measurements and annotation), and separate geotiff files with the velocity components are provided.  This product was generated by DTU Space - Microwaves and Remote Sensing."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 20113,
            "uuid": "e32d6d9a5d314073948fd4ed9aae04a1",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2014_2015/v1.0",
            "numberOfFiles": 8,
            "volume": 364654977,
            "fileFormat": "Data are in NetCDF and GeoTiff format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 19868,
                "uuid": "82e4ede59fe746ba810009d9a30e0153",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map Winter 2014-2015, v1.0",
                "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2014-2015, derived from Sentinel-1 SAR data, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E). The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid; the vertical displacement (z), derived from a digital elevation model, is also provided. Please note that previous versions of this product provided the horizontal velocities as true East and North velocities."
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                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by DTU-Space, v1.0",
                "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from the GRACE satellite instrument, by DTU-Space.  The data consists of two products, a mass change time series for the Greenland Ice Sheet and individual basins, and mass trend grids for 5-year periods. \r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin.  For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided.   The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set."
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            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/TU_Dresden/v1.0",
            "numberOfFiles": 30,
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            "fileFormat": "Mass trend grids are in NetCDF format.\r\nTime series are in ASCII and png format.",
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                "uuid": "0c724d2a018c48cab18e1a14f0fee6df",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by TU Dresden, v1.0",
                "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from the GRACE satellite instrument, by TU Dresden.  The data consists of two products, a mass change time series for the Greenland Ice Sheet and individual basins, and mass trend grids for 5-year periods. \r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin.  For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided.   The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set."
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            "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_calving_front_locations/v2.0",
            "numberOfFiles": 2,
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            "fileFormat": "Data are provided as ESRI shapefile in latitude and longitude, WGS84 projection",
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                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v2.0",
                "abstract": "The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet using ERS and ENVISAT and Sentinel-1 SAR data.  A selected number of the glaciers have been sampled seasonally, whilst the rest are sampled annually.\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. From the ice velocity at the calving front and the time sequence of Calving Front Locations the iceberg calving rate can be computed which is of relevance for estimating the export of ice mass to the ocean.\r\n\r\nThe CFL product is a collection of ESRI shapefile in latitude and longitude, WGS84 projection."
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            "observation": {
                "ob_id": 19854,
                "uuid": "2d43e43de3484810ae24cfdc13eab263",
                "short_code": "ob",
                "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Grounding Line Locations v1.2",
                "abstract": "This dataset contains grounding lines for 5 North Greenland glaciers, derived from generated from ERS -1/-2 SAR Tandem and 3 days data sets. This addition includes the grounding line for the Petermann glacier from Sentinel-1A. Data was produced as part of the ESA Greenland Ice Sheets Climate Change Initiative (CCI) project by ENVEO, Austria. \r\n\r\nThe grounding line is the separation point between the floating and grounded parts of the glacier. Processes at the grounding lines of floating marine termini of glaciers and ice streams are important for understanding the response of the ice masses to changing boundary conditions and for establishing realistic scenarios for the response to climate change. The grounding line location product is derived from InSAR data by mapping the tidal flexure and is generated for a selection of the few glaciers in Greenland, which have a floating tongue. In general, the true location of the grounding line is unknown, and therefore validation is difficult for this product.\r\n\r\nRemote sensing observations do not provide direct measurement on the transition from floating to grounding ice (the grounding line). The satellite data deliver observations on ice surface features (e.g. tidal deformation by InSAR, spatial changes in texture and shading in optical images) that are indirect indicators for estimating the position of the grounding line. Due to the plasticity of ice these indicators spread out over a zone upstream and downstream of the grounding line, the tidal flexure zone (also called grounding zone)."
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                "title": "Sentinel 3A 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 3A Satellite. Sentinel 3A was launched on the 16th February 2016. \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, 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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                "short_code": "ob",
                "title": "Sentinel 3A 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 3A Satellite. Sentinel 3A was launched on the 16th February 2016. 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 3A the OLCI instrument provides a spatial resolution of 300m with worldwide coverage every ~2 days.\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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            "dataPath": "/badc/optclim/data",
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                "short_code": "ob",
                "title": "Using Optimisation Algorithms to tune Climate Models (OptClim): perturbed parameter configurations for HadAM3 and HadCM3 model runs",
                "abstract": "Results and software from HadAM3 and HadCM3 model runs for the Using Optimisation Algorithms to tune Climate Models (OptClim) project. These data are principally PP binary output files from a set of climate model runs along with their associated model configuration parameters as reported in Tett et al, (2017) - see online resources for full link.\r\n\r\nThe simulation output are mainly from HadAM3 model runs, though some HadCM3 output data are also present. Data were produced on the University of Edinburgh computing cluster."
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                "short_code": "ob",
                "title": "SPECS - MPI-ESM-LR model output prepared for SPECS decadal (1901-2015)",
                "abstract": "This dataset includes the MPI-ESM-LR model output prepared for SPECS decadal (1901-2015). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n      \r\nModel id is MPI-ESM-LR (MPI-ESM-LR 2015; atmosphere: ECHAM6 v6.3.01p2 (REV: 3904), T63L47; land: JSBACH (REV: 3904); ocean: MPIOM v1.6.1p1 (REV: 3753) marine biogeochemistry HAMOCC included, GR15L40; sea ice (REV: 3753).  Frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt hfls hfss pr prc psl rlds rlut rsds tas tasmin tasmax uas vas zg \r\n\r\nDaily land variables are: \r\nmrso \r\n\r\nMonthly atmos variables:\r\nclt hfls hfss hus pr prsn psl rlds rlut rsds rsdt rsut ta tas tasmax tasmin tauu tauv ua uas vas va zg      \r\n\r\nMonthly ocean variables:\r\nmlotst so thetao tos uo vo zos  \r\n\r\nMonthly land variables:\r\nmrro  mrso\r\n\r\nMonthly sea ice variables:\r\nsit"
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                "uuid": "dc36731ace3046b284dafd809eecf7b9",
                "short_code": "ob",
                "title": "UKCIP02: 5km gridded data for UK climate projection scenarios (2002)",
                "abstract": "5km gridded resolution data for four climate projection scenarios, produced in support of the UK Climate Impacts Programme 2002 (UKCIP02) by the Met Office Hadley Centre. \r\n\r\nThere are data for monthly and seasonal average anomalies with respect to simulated 1961~90 average for four alternative future climates for the UK. The four emissions scenarios are Low (LO), Medium-Low (ML), Medium-High (MH) and High (HI).\r\n\r\nMonthly data for cloud, precipitation (prec), temperature (temp), maximum temperature (tmax), minimum temperature (tmin) and wind are available using the following convention in the filename:\r\n2020s = predictions for 2011 to 2040,\r\n2050s = predictions for 2041 to 2070,\r\n2080s = predictions for 2071 to 2100."
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            "observation": {
                "ob_id": 20153,
                "uuid": "937eac83d9864174aed500b05c8fc012",
                "short_code": "ob",
                "title": "UKCIP02: 5km temperature time-series data for UK climate projection scenarios (2002)",
                "abstract": "The 5km temperature time-series data for four climate projection scenarios produced in support of the UK Climate Impacts Programme 2002 (UKCIP02).\r\n\r\nMonthly temperature time-series data for four alternative future climates for the UK. The four emissions scenarios are Low (LO), Medium-Low (ML), Medium-High (MH) and High (HI)."
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                "title": "SPECS - MPI-ESM-LR model output prepared for SPECS decadal (1981-2015)",
                "abstract": "This dataset includes the MPI-ESM-LR model output prepared for SPECS soilMoistureInit (1981-2012). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n      \r\nModel id is MPI-ESM-LR (MPI-ESM-LR 2015; atmosphere: ECHAM6 v6.3.01p2 (REV: 3904), T63L47; land: JSBACH (REV: 3904); ocean: MPIOM v1.6.1p1 (REV: 3753) marine biogeochemistry HAMOCC included, GR15L40; sea ice (REV: 3753).  Frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt  hfls  hfss pr  prc  psl  rlds  rlut  rsds  tas  uas  vas\r\n\r\nMonthly atmos variables:\r\nhus  pr  psl  ta  tas  ua  va  zg\r\n\r\nMonthly ocean variables:\r\nmlotst  tos uo vo \r\n\r\nMonthly land variables:\r\nmrro  mrso\r\n\r\nMonthly sea ice variable:\r\nsit"
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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.",
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                "title": "FAAM B954 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)."
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            "fileFormat": "Data files are delivered in NetCDF format at 250m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity components are provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid. ",
            "storageStatus": "online",
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                "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 B978 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 B955 Oil and Gas 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 NCAS general FAAM flying (SeptEx, Winter 2010, Oil & Gas) (Oil and Gas) project."
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                "title": "FAAM B979 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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            "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted.",
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            "observation": {
                "ob_id": 20189,
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                "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2016, v2.0.1.2016p",
                "abstract": "This is version 2.0.1.2016p of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are  global sub-daily surface meteorological data that extends HadISD v2.0.0.2015p to span 1931-2016 and includes an increase in the number of stations and an updated methodology.  \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_19310101-20151231_v2-0-1-2016p.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 up to date with 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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                "title": "HadISDH: gridded global monthly land surface humidity data version 2.1.0.2015p",
                "abstract": "This is the 2.1.0.2015p version of the HadISDH land data. The data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2015. \r\n\r\nThis version extends the 2.0.1.2014p version to the end of 2015 and includes some minor updates users are advised to read the update document in the docs section for full details. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) and station products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format.\r\n\r\nUncertainty estimates are provided at the station and gridbox level covering station uncertainty (climatological, homogenisation and measurement uncertainty), gridbox spatial and temporal sampling uncertainty and combined station and sampling uncertainty.\r\n\r\nTo keep up to date with 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 HadISDH blog: http://hadisdh.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\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. \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\nWe strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013."
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                "title": "CRU TS3.24.01: Climatic Research Unit (CRU) Time-Series (TS) Version 3.24.01 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2015)",
                "abstract": "The gridded CRU TS (time-series) 3.24.01 data are month-by-month variations in climate over the period 1901-2015, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nCRU TS 3.24.01 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. 2015.\r\n\r\nCRU TS 3.24.01 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2015 data, some new stations have been added for TMP and PRE only. This release should be used in place of v3.24 which has been withdrawn. Known issues predating this release remain.\r\n\r\nThe CRU TS 3.24.01 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."
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                "title": "CRU CY3.24.01: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.24.01 (Jan. 1901 - Dec. 2015)",
                "abstract": "The CRU CY version 3.24.01 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 2016 by the Climatic Research Unit (CRU) at the University of East Anglia and replaces the withdrawn CRU CY 3.24. 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 CY3.24.01 is derived directly from the CRU TS3.24.01 dataset. CRU CY version 3.24.01 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU-CY3.24.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.24.01. 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."
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                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.0",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data (AMSR-E and AMSR-2).  It is processed with an algorithm using medium resolution (19 GHz and 37 GHz) imaging channels, and has been gridded at 25km grid spacing.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 50 km grid spacing is also available (doi:10.5285/70f611b0-ba82-48e6-9190-a62cf9f925f2) and a 12.5km product is in preparation."
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                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50 km grid spacing, version 2.0",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data (AMSR-E and AMSR-2).  It is processed with an algorithm using coarse resolution (6 GHz and 37 GHz) imaging channels, and has been gridded at 50km grid spacing.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea_Ice_CCI project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 25km grid spacing is also available (doi: 10.5285/c61bfe88-873b-44d8-9b0e-6a0ee884ad95) and a 12.5km product is in preparation."
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                "title": "NERC Mesosphere-Stratosphere-Troposphere (MST) Radar: stratospheric and tropospheric structure and dynamics observations, version 4.0",
                "abstract": "The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar is operated by the Science and Technology Facilities Council (STFC) at the Radar Facility's (MSTRF's) site in Capel Dewi, near Aberystwyth, Mid-Wales. \r\n\r\nThis dataset contains time-series of vertical profiles of derived atmospheric dynamics (wind speed, direction) and structure (indications of refractive index structures and turbulence) from observations taken from the 46.5 MHz pulsed Doppler radar. It is primarily used for making atmospheric observations over the approximate altitude range 2 - 20 km, i.e. of the free troposphere (above the boundary layer) and the lower stratosphere, known as the \"ST-mode\". Additional observations are made over the approximate altitude range 56 - 96 km, i.e. covering the mesosphere - known as the \"M-mode\" (see related dataset); hence the term \"MST\" radar.\r\n\r\nThe instrument has been in operation, using the Doppler Beam Swinging technique (see linked documentation for further details), since late 1989. It was initially operated on a campaign basis, but switched to quasi-continuous observations (i.e. close to 24-7 operation) in late 1997. In 2011 the radar system underwent renovation with significant improvements in radar performance. \r\n\r\nThe version 4.0 (v4.0) data processing scheme is closely related to the version 3 (v3) scheme and uses v3 Cartesian files as input. The main difference is that the horizontal wind components in the v4 Cardinal files represent time averages, which have a smaller random measurement error compared to the single cycle estimates in the v3 Cartesian files.\r\n\r\nData products available from the v4 Cardinal files include time-series profiles of:\r\n - eastward wind\r\n - northward wind\r\n - upward wind\r\n - (radar return) signal power (giving an indication of atmospheric structure) - also known as echo power\r\n - (beam broadening) corrected spectral width (giving a measure of turbulence intensity)\r\n - tropopause altitude and sharpness\r\n\r\nA full list of variables will be added to this record in due course.\r\n\r\nQuick look plots for these data are available  - see related links under the \"docs\" tab below.\r\n\r\nNote - some files are released marked as '-suspect'. These have been released to permit early access to the data where the majority of data are known to pass quality control, but a small, limited part of the data have been identified as being 'suspect'. An internal remark about the suspect data may be found within the file's metadata 'comments' attribute."
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                "uuid": "edf8febfdaad48abb2cbaf7d7e846a86",
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                "title": "CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015)",
                "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.00 data are month-by-month variations in climate over the period 1901-2015, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.00 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 2015.\r\n\r\nThe CRU TS4.00 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 TS4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions.\r\n\r\nThe CRU TS4.00 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 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.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies."
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            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.00",
            "numberOfFiles": 2892,
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            "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": 20374,
                "uuid": "8b6b52b3a34c4964b35f918555e10ec1",
                "short_code": "ob",
                "title": "CRU CY4.00: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.00 (Jan. 1901 - Dec. 2015)",
                "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.00 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 2017 by CRU at the University of East Anglia and extends the CRU CY3.23 data to include 2015. CRU CY4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. 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 CY4.00 is derived directly from the CRU TS4.00 dataset. CRU CY version 4.00 spans the period 1901-2015 for 289 countries.\r\n\r\nTo understand the CRU CY4.00 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.00. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.00 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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            "dataPath": "/neodc/esacci/cloud/data/phase-2/L3C/ATSR2-AATSR/v2.0/",
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                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): ATSR2-AASTR monthly gridded cloud properties,  version 2.0",
                "abstract": "The Cloud_cci ATSR2-AATSR dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on ATSR2 and AATSR (onboard ERS2 and ENVISAT) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci ATSR2-AATSR dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
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                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): MERIS+AATSR monthly gridded cloud properties,  Version 2.0",
                "abstract": "The Cloud_cci MERIS+AATSR dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MERIS and AATSR (onboard ENVISAT) measurements and contains a variety of cloud properties which were derived employing the Freie Universität Berlin AATSR MERIS Cloud (FAME-C) retrieval system. The core cloud properties contained in the Cloud_cci MERIS+AATSR dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
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                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): AVHRR-AM monthly gridded cloud properties, version 2.0",
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                "abstract": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the Pre-Industrial Control (piControl) experiment. These data cover the following realms: aerosol, atmos, ocean and ocnBgchem; at the following frequencies: day, mon and yr. The runs included the ensemble member: r1i1p1.\n\nThe WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5)."
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                "abstract": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the RCP4.5 (rcp45) experiment. These data cover the following realms: aerosol, ocean and ocnBgchem; at the following frequencies: mon and yr. The runs included the ensemble members: r1i1p1, r2i1p1, r3i1p1 and r4i1p1.\n\nThe WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5)."
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                "abstract": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the RCP8.5 (rcp85) experiment. These data cover the following realms: aerosol, ocean and ocnBgchem; at the following frequencies: mon and yr. The runs included the ensemble members: r1i1p1, r2i1p1, r3i1p1 and r4i1p1.\n\nThe WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5)."
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                "abstract": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the RCP2.6 (rcp26) experiment. These data cover the following realms: aerosol, ocean and ocnBgchem; at the following frequencies: mon and yr. The runs included the ensemble members: r1i1p1, r2i1p1, r3i1p1 and r4i1p1.\n\nThe WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5)."
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                "abstract": "WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the RCP6 (rcp60) experiment. These data cover the following realms: aerosol, ocean and ocnBgchem; at the following frequencies: mon and yr. The runs included the ensemble members: r1i1p1, r2i1p1, r3i1p1 and r4i1p1.\n\nThe WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5)."
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