Result List

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    "results": [
        {
            "ob_id": 13138,
            "uuid": "96d1520bcb7e4ad8af53a150c87efc03",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/IPSL/IPSL-CM5A-LR/decadal",
            "numberOfFiles": 8562,
            "volume": 408635766681,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13137,
                "uuid": "99c2f097e6a04a72983912752e1098d4",
                "short_code": "ob",
                "title": "SPECS - IPSL-CM5A-LR model output prepared for SPECS decadal (1961-2013)",
                "abstract": "This dataset includes the IPSL-CM5A-LR model output prepared for SPECS seasonal (1961-2013). These data were prepared by the Institut Pierre Simon Laplace (Paris, France), as part of the SPECS project. \r\n      \r\nModel id is IPSL-CM5A-LR (IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96x95x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt  pr  psl  rls  rlut  rsds  ta  tas  tasmax  tasmin  uas  vas  zg\r\n\r\nFixed Atmospheric variables are:\r\nsftlf\r\n\r\nFixed Land variables are:\r\nsftgif\r\n\r\nFixed Ocean variables are:\r\ngoro\r\n\r\nMonthly atmos variables:\r\nal   hfls  pr   rls   rsds  rss   ta   tasmax  uas  zg\r\nclt  hfss  psl  rlut  rsdt  rsut  tas  tasmin  vas\r\n\r\nMonthly ocean variables:\r\nhfnorth   hfnorthba  msftmyz   msftmyzba  sltnortha  t20d    tos  vo\r\nhfnortha  mlotst     msftmyza  sltnorth   sos        thetao  uo\r\n\r\nMonthly land variables:\r\nmrso\r\n\r\nMonthly SeaIce variables:\r\nsic  sit  snld"
            },
            "onlineresource_set": [
                7043
            ]
        },
        {
            "ob_id": 13140,
            "uuid": "ff1446e69aca4eb68bf6197bd629c98c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/KNMI/EC-EARTH2/seaIceInit",
            "numberOfFiles": 1699294,
            "volume": 19696412708455,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13139,
                "uuid": "3204c2ba08ba4422ad3e71e8073e7776",
                "short_code": "ob",
                "title": "SPECS - KNMI EC-EARTH2 model output prepared for SPECS seaIceInit (1919-1949)",
                "abstract": "This dataset includes the KNMI EC-EARTH2 model output prepared for SPECS (1919-1949). These data were prepared by the Royal Netherlands Meteorological Institute (KNMI), as part of the SPECS project. \r\n      \r\nModel id is EC-EARTH2 (EC-EARTH2 v2.3 official release from ECMWF), frequency is 6 hourly, daily and monthly. \r\n\r\n6-hourly Atmospheric variables are:\r\nclt  psl  tas  tdps  uas  vas\r\n\r\nDaily Atmospheric variables are:\r\npr  rls  rlut  rsds  tasmax  tasmin\r\n\r\nMonthly atmos variables:\r\nal   hfls  pr   rls   rsds  snld  tas     tasmin  uas  zg\r\nclt  hfss  psl  rlut  rss   ta    tasmax  tdps    vas\r\n\r\nMonthly ocean variables:\r\nmlotst  msftmyz  msftmyza  sos  thetao  tos  uo  vo  wo  zos\r\n\r\nMonthly seaIce variables:\r\nsic  sit  snd  tsice  usi  vsi\r\n"
            },
            "onlineresource_set": [
                7044
            ]
        },
        {
            "ob_id": 13142,
            "uuid": "6110f2bd9f0941d28896708255516870",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/MPI-M/MPI-ESM-HR/seasonal",
            "numberOfFiles": 107581,
            "volume": 288859857894,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13141,
                "uuid": "08c93067e22040a0921cdce1f45b28d3",
                "short_code": "ob",
                "title": "SPECS - MPI-ESM-HR model output prepared for SPECS seasonal (1979-2011)",
                "abstract": "This dataset includes the MPI-ESM-HR model output prepared for SPECS seasonal (1979-2011). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n      \r\nModel id is MPI-ESM-HR (MPI-ESM-HR 2011; atmosphere: ECHAM6 (REV: ), T63L47; land: JSBACH (REV: ); ocean: MPIOM (REV: ), GR15L40; sea ice: ; marine bgc: HAMOCC (REV: )), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt  hfls  hfss  mrso  pr  prc  psl  rlds  rlut  rsds  tas  uas  vas\r\n\r\nMonthly atmos variables:\r\nhus  pr  psl  ta  tas  ua  va  zg\r\n\r\nMonthly ocean variables:\r\nmlotst  tos\r\n\r\nMonthly land variables:\r\nmrro  mrso\r\n"
            },
            "onlineresource_set": [
                7045
            ]
        },
        {
            "ob_id": 13144,
            "uuid": "8e538e1684b94c5eb9957e0bbd9471f0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/MPI-M/MPI-ESM-MR/seasonal",
            "numberOfFiles": 101061,
            "volume": 98056888446,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13143,
                "uuid": "fa4cbccb81ba4cfeb05bd75cb7081909",
                "short_code": "ob",
                "title": "SPECS - MPI-ESM-MR model output prepared for SPECS seasonal (1981-2011)",
                "abstract": "This dataset includes the MPI-ESM-MR model output prepared for SPECS seasonal (1981-2011). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project. \r\n      \r\nModel id is MPI-ESM-MR (MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4339), T63L47; land: JSBACH (REV: 4339); ocean: MPIOM (REV: 4339), GR15L40; sea ice: 4339; marine bgc: HAMOCC (REV: 4339)), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nclt  hfls  hfss  mrso  pr  prc  psl  rlds  rlut  rsds  tas  uas  vas\r\n\r\nMonthly atmos variables:\r\nhus  pr  psl  ta  tas  ua  va  zg\r\n\r\nMonthly ocean variables:\r\nmlotst  tos\r\n\r\nMonthly land variables:\r\nmrro  mrso\r\n"
            },
            "onlineresource_set": [
                7046
            ]
        },
        {
            "ob_id": 13146,
            "uuid": "ed9054bd8f7e4bbabf244a15609a108d",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/MOHC/GloSea5/seasonal",
            "numberOfFiles": 271091,
            "volume": 8177181007955,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13145,
                "uuid": "cf6b2d81dd2f4f1c9e00c57ede12ac63",
                "short_code": "ob",
                "title": "SPECS - MOHC-GloSea5 model output prepared for SPECS seasonal (1992-2012)",
                "abstract": "This dataset includes the Met Office GloSea5 model output prepared for SPECS seasonal (1992-2012). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. \r\n      \r\nModel id is GloSea5 (GloSea5: HadGEM3 v3.0 (2014); atmosphere: UM (GA3.0) ; ocean: NEMO (v2, ORCA0.25) ; coupler: OASIS3 (v3.3); sea ice: CICE), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\npr  psl  rls  rlut  tas  tasmax  tasmin\r\n\r\nMonthly atmos variables:\r\npr  psl  ta  tas  zg\r\n\r\nMonthly seaIce variables:\r\nsic  sit  snd\r\n\r\nOcean variables:\r\nso thetao tos uo vo\r\n\r\n\r\n"
            },
            "onlineresource_set": [
                7047
            ]
        },
        {
            "ob_id": 13150,
            "uuid": "d4fe2d637aa6452b8e64aa1ef7fe0c87",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_cy/cru_cy_3.23",
            "numberOfFiles": 2893,
            "volume": 48020200,
            "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13149,
                "uuid": "4504fea2b2f14046ab7ef84f4856d887",
                "short_code": "ob",
                "title": "CRU CY3.23: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.23 (Jan. 1901 - Dec. 2014)",
                "abstract": "The CRU CY version 3.23 dataset consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables, including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and Potential Evapo-transpiration. \r\n\r\nThis dataset was produced in 2015 by the Climatic Research Unit (CRU) at the University of East Anglia. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.23 is derived directly from the CRU TS3.23 dataset. CRU CY version 3.23 spans the period 1901-2014 for 289 countries.\r\n\r\nTo understand the CRU-CY3.23 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.23. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014).\r\n\r\nCRU CY data are available for download to all CEDA users."
            },
            "onlineresource_set": [
                7082,
                7081
            ]
        },
        {
            "ob_id": 13152,
            "uuid": "01aaba6f7d924a55a5f2e9ea69d9fe37",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.23",
            "numberOfFiles": 643,
            "volume": 36603292693,
            "fileFormat": "The CRU TS 3.23 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.23 metadata files (i.e. stations and observations) are available in ASCII. To understand how to read the CRU TS 3.23 data and metadata files, please refer to the CRU_TS_3.23_File_Formats_explained PDF documentation (under Linked Documentation below). ",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob",
                "title": "CRU TS3.23: Climatic Research Unit (CRU) Time-Series (TS) Version 3.23 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2014)",
                "abstract": "The gridded CRU TS (time-series) 3.23 data are month-by-month variations in climate over the period 1901-2014, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nCRU TS 3.23 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2014.\r\n\r\nCRU TS 3.23 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2014 data, some new stations have been added for TMP and PRE only. Known issues predating this release remain; the 4.00 release, due soon, will address these.\r\n\r\nThe 4.00 release will utilise Angular-Distance Weighting (ADW) gridding, promising more accurate results with far greater adjustability and logging. It will cover the same spatial, temporal and variate spaces as version 3.23 (land areas excluding Antarctica at 0.5°x0.5°, monthly from 1901 to 2014 with no missing values, 10 variables).\r\n\r\nVersions 3.23 and 4.00 will run concurrently until 2016, after which the new (ADW) approach will be used. This is to allow comparisons between the methods and results to be made by users of the dataset.\r\n\r\n\r\nThe CRU TS 3.23 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users. The CEDA Web Processing Service (WPS) may be used to extract a subset of the data (please see link to WPS below)."
            },
            "onlineresource_set": [
                7088
            ]
        },
        {
            "ob_id": 13161,
            "uuid": "e1944f6b48314b14bb3866c470032d24",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/claus/data/channel_2/movies",
            "numberOfFiles": 161,
            "volume": 7047404126,
            "fileFormat": "The CLAUS monthly animations are stored in Apple's Quicktime format, using Photo JPEG (high) compression.  To help with geographical orientation land is slightly embossed.  A brightness temperature key and the date/time of the individual images are printed on the bottom right-hand corner.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 6184,
                "uuid": "1d9c0ece56c9b9867327d4308729c80e",
                "short_code": "ob",
                "title": "Monthly Brightness Temperature (BT) Animations derived from high resolution BT images as part of the Cloud Archive User Service (CLAUS) Project.",
                "abstract": "Global Brightness Temperature imagery animations from the Cloud Archive User Service project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models.\r\n\r\nThe higher resolution CLAUS data were used to create monthly animations for educational purposes. The movie collection spans the period 1983-1994.\r\n\r\nFor detailed information about the CLAUS data (processing, quality, etc) please see available documentation (Docs)."
            },
            "onlineresource_set": [
                7092
            ]
        },
        {
            "ob_id": 13163,
            "uuid": "bd33e4fddcae4553a15467a39c66858b",
            "short_code": "result",
            "curationCategory": "B",
            "dataPath": "/badc/nocs_flux/data/noc1.1a",
            "numberOfFiles": 8,
            "volume": 9478352,
            "fileFormat": "File format is COARDS compliant netCDF. Files are compressed (.Z).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13162,
                "uuid": "6d39f49d9ce24836b16cf6ecad1f8ae6",
                "short_code": "ob",
                "title": "NOC 1.1a: Adjusted National Oceanography Centre Surface Flux Climatology (version 1.1a)",
                "abstract": "This dataset contains the adjusted climatological monthly mean files of air-sea fluxes (heat fluxes only) on a global grid in netCDF format produced at the National Oceanography Centre (NOC). \r\n\r\nIt was produced by the NERC COAPEC thematic programme project using inverse analysis techniques to remove the global ocean heat budget imbalance of 30 Wm-2 that was present in the NOC1.1 flux climatology.\r\n\r\nEach data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field:\r\n\r\nlatent heat flux (hfls), \r\nnet heat flux (hfns), \r\nsensible heat flux (hfss), \r\nnet longwave flux (rls), \r\nnet shortwave flux (rss).\r\n\r\nUnits are W/m2.\r\n\r\nThe flux fields were originally derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs).\r\n\r\nIt is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region.\r\n"
            },
            "onlineresource_set": [
                7111
            ]
        },
        {
            "ob_id": 13166,
            "uuid": "31c9e74e93504962ac15b4b05d5240ab",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/met",
            "numberOfFiles": 267,
            "volume": 1381395266,
            "fileFormat": "Data are NASA Ames formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13165,
                "uuid": "6013826d522b4682823f757f9244e6c3",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Longterm meteorological measurements 2002-present",
                "abstract": "Longterm Meteorological observations (temperature, relative humidity, pressure, wind speed and direction, solar irradiance) at the Weybourne Atmospheric Observatory (WAO).  WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13169,
            "uuid": "ffd80fd01c6b47319062cb785939d01e",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/annox/",
            "numberOfFiles": 1408,
            "volume": 142374113,
            "fileFormat": "Data are csv formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13168,
                "uuid": "e968e9bce2b944509f86e2a900523f58",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Long term measurements of Nitrogen Oxides (ANNOX instrument)",
                "abstract": "Long term measurements of Nitrogen Oxides NO, NOx, by the ANNOX instrument at the Weybourne Atmospheric Observatory (WAO). WAO is part of the School of Environmental Sciences at the University of East Anglia (UEA). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. \r\n"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13174,
            "uuid": "624938b1d32347eab10440296c622f5a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/co2/",
            "numberOfFiles": 22,
            "volume": 107244837,
            "fileFormat": "Data are NASA Ames formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13173,
                "uuid": "87fc265aab6b4aeb961e62da2cd6ca91",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Longterm measurements of Atmospheric Carbon Dioxide",
                "abstract": "Longterm measurements of Atmospheric Carbon Dioxide (CO2) at Weybourne Atmospheric Observatory (WAO) using a Siemens NDIR instrument operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility).   WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13177,
            "uuid": "378e62445d9848a18f0fece9484e0e2a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/n2o-and-sf6",
            "numberOfFiles": 5,
            "volume": 7281875,
            "fileFormat": "Data are NASA Ames formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13176,
                "uuid": "f934ddd2b9d5474ba1eaede7162477a5",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Longterm measurements of N20 and SF6",
                "abstract": "Longterm measurements of N20 and SF6 data at the Weybourne Atmospheric Observatory (WAO) using a Gas Chromatograph operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility). \r\nWAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13180,
            "uuid": "feb781fbee9f440387df9b7ed8259b01",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/o2/",
            "numberOfFiles": 22,
            "volume": 107616735,
            "fileFormat": "Data are NASA Ames formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13179,
                "uuid": "b3f9714c956f428a840211e0184e23eb",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Long term measurements of atmospheric O2",
                "abstract": "Long term measurements of atmospheric O2 at Weybourne Atmospheric Observatory (WAO) made using the Oxilla instrument operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility).   WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13184,
            "uuid": "f744584b51b44a869f2ed7b5bf315ff5",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/weybourne/data/sonic/",
            "numberOfFiles": 36,
            "volume": 5162208,
            "fileFormat": "Data are csv formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13183,
                "uuid": "8c123cffa4ba4ec4afc1221ffb37a92b",
                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: Sonic Anemometer measurements",
                "abstract": "Observations of Wind Velocity, Wind Direction, Temperature, Heat Flux and Momentum Flux measured by the sonic anemometer instrument at the Weybourne Atmospheric Observatory (WAO). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13188,
            "uuid": "29d32fe750a147b181b7f4744662f3f6",
            "short_code": "result",
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                "short_code": "ob",
                "title": "Weybourne Atmospheric Observatory: NAME atmospheric dispersion model footprints or air arriving at WAO.",
                "abstract": "The composition of the air present over the Weybourne Atmospheric Observatory (WAO),  situated on the north Norfolk coast, depends on its origins. Plots showing the footprints of 10 day back trajectories arriving at WAO have been calculated using the UK Met Office's NAME Lagrangian atmospheric dispersion model."
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                "title": "Weybourne Atmospheric Observatory: Longterm Carbon Monoxide and Molecular Hydrogen measurements",
                "abstract": "Longterm Carbon Monoxide and Molecular Hydrogen measurements at the Weybourne Atmospheric Observatory (WAO) using a Reduction Gas Analyser operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility).   WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC.  The atmospheric carbon monoxide and molecular hydrogen are measured every 6 minutes.  "
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                "title": "Weybourne Atmospheric Observatory: Longterm Methane measurements",
                "abstract": "Longterm Methane(CH4) measurements at the Weybourne Atmospheric Observatory (WAO) using Clarus 500 Greenhouse Gas GC (Perkin Elmer) instrument operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility).   WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC.  The atmospheric methane measurements are every 10 minutes.  "
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                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n* Land Outline Data\r\n* Land/Water and Land/Sea Masks\r\n* Latitude & Longitude Grid Coordinate Data\r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n"
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                "short_code": "ob",
                "title": "ISLSCP II: Carbon Parameters at 1 degree spatial resolution (1986-1995)",
                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n*Sea-Air CO2 Flux and Sea-Air CO2 Partial Pressure\r\n*CO2 Consumption by Continental Erosion and Riverine Fluxes of Carbon and Sediments to the Oceans \r\n*CO2 Emissions\r\n*Energy Flux Measurement\r\n*Atmospheric CH4 Data\r\n*Atmospheric CO2 Data\r\n*Global Net Primary Productivity \r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n\r\n"
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                "short_code": "ob",
                "title": "ISLSCP II: Near Surface Meteorology Parameters at 1 degree spatial resolution (1986-1995)",
                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n*precipitation\r\n*temperature\r\n*diurnal temperature range\r\n*wet-day frequency\r\n*vapour pressure\r\n*cloud cover\r\n*ground frost frequency\r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n"
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                "short_code": "ob",
                "title": "ISLSCP II: Hydrology and Soils Parameters at 1 degree spatial resolution (1986-1995)",
                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) was a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThe dataset contains:\r\n*River Discharge\r\n*Precipitation\r\n*Global Elevation\r\n*Soils\r\n*Root storage\r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public."
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                "uuid": "211ebf23e1914728b719752549547abb",
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                "title": "ISLSCP II: Snow, Sea Ice and Oceans Parameters at 1 degree spatial resolution (1986-1995)",
                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n*Sea Ice extent\r\n*Sea surface temperature\r\n*Snow cover\r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n"
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                "short_code": "ob",
                "title": "ISLSCP II: Social and Economic Parameters at 1 degree spatial resolution (1986-1995)",
                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n*Global population \r\n*Global GDP\r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n"
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                "abstract": "The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). \r\n\r\nThis dataset contains:\r\n*Albedo\r\n*Ecosystem roots\r\n*Historic crop land and land cover \r\n*Potential vegetation\r\n*Continuous vegetation \r\n\r\nThe data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.\r\n"
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                "abstract": "The AVHRR Polar Pathfinder 5 km data set provides a time-series overview of each pole. It contains a high level of detail, yet still shows the entirety of each polar region. For the first time, daily composites of AVHRR-collected variables are compiled at a resolution suitable for process studies on a hemispheric scale.\r\n\r\nTemporal coverage begins in July 1981 and continues through the present, thereby extending the temporal coverage of upcoming MODIS and and other AM-1 products. Calibrated channel data, surface broadband albedo, surface (skin) temperature, and ancillary data, including solar zenith angles, relative azimuth angles, satellite elevation angles, time of pixel, cloud mask, orbit masks, and surface-type masks, are provided. These ancillary data allow users to apply algorithms of their choice to calculate albedo and surface temperature. Additionally, albedo and surface (skin) temperature have been compiled along with the other data sets noted above into composites at two selected local times for each day. These products are mapped to the EASE-Grid. Also included are ice motion products which include displacement vectors that provide an historical record of ice motion prior to the availability of ERS-1, ERS-2, and RADARSAT-derived ice products, and offer greater spatial coverage than is currently available from buoys or radar data for the Arctic and Antarctic.\r\n\r\nThe 5 km resolution AVHRR sample data on this CD-ROM covers both poles and comprises the same products as does the full data set, with the exception of ice motion. The CD-ROM contains data for September 8, 1997. Additionally, five movies for various periods in 1988 and 1989 illustrate some of the characteristics of the 5 km data when viewed as time series. One movie illustrates a novel \"background\" clear-sky skin temperature application. Five km AVHRR Polar Pathfinder products were averaged into 25 km grid cells, providing browse products for the Northern and Southern Hemispheres. The 25 km browse products also provide means of analyzing conditions and trends at a more manageable data volume.\r\n\r\nPlease note that only portions of the complete time series are available for distribution at the time of release of this CD-ROM."
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                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the BESD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been produced with the Bremen Optimal Estimation DOAS (BESD) algorithm, a full physics algorithm which uses measurements in the O2-A absorption band to retrieve scattering information of clouds and aerosols. This is the GHG CCI baseline algorithm for deriving SCIAMACHY XCO2 data:  A product has also been generated from the SCIAMACHY data using an alternative algorithm: the WFMD algorithm, the link to this product's record page being provided in the documentation section. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage in the documentation section. \r\n\r\nFor further information on the product, including details of the BESD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section."
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                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol daily products from AATSR, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation."
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                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from AATSR, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation."
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                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. \r\n\r\nFor further details about these data products please see the documentation."
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                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from GOMOS, using the AERGOM algorithm, version 2.1 and was produced by BIRA (Belgian Institute for Space Aeronomy). \r\n\r\nThe data are stored as monthly averages and standard deviations of a range of aerosol variables, on global 2.5 degree x 10 degree latitutude/longitude grids, and in NetCDF format. The horizontal resolution is 0.5km. \r\n\r\nThe variables included are: Stratospheric Aerosol Optical Depth (AOD), Angstrom coefficient, extinction profile. \r\n\r\n\r\nFor further details about these data products please see the linked documentation."
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                "short_code": "ob",
                "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): Gas analyser and Sonic anemometer data",
                "abstract": "A sonic anemometer and a gas analyser measuring water vapour and carbon dioxide are co-located within a compound dedicated to measuring fluxes using the eddy covariance method at Chilbolton Observatory. The eddy covariance technique is an atmospheric measurement method used to calculate vertical turbulent fluxes within the atmospheric boundary layer. This is the lowest region of the troposphere and is usually well mixed, particularly during daylight hours, due to convective heating from the sun. It is this motion in the lower troposphere that makes the technique possible.\r\n\r\nIn order to properly measure the turbulent properties of the atmosphere the measurements must be made at a high frequency - 20 Hz for the Chilbolton Observatory system. \r\n\r\nA sonic anemometer measures the 3 orthogonal components of the wind velocity by measuring the changes in the time of flight of sonic pulses between 3 transmitter/receiver pairs as a result of the air velocity. \r\n\r\nA gas analyser measures the absorptance of radiation along a fixed path and uses this to determine the concentration of a gas in air. For each gas the absorptance at 2 wavelengths is measured 152 times per second, one affected by that gas and the other unaffected.\r\n\r\nThere are more accurate instruments available for measuring water vapour and carbon dioxide (e.g. a relative humidity sensor for water vapour) but the benefit of the gas analyser is that it has a sufficiently fast response to resolve the rapid changes in concentration as a result of turbulence."
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                "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): net flux radiometer data from the Chilbolton Observatory",
                "abstract": "Continuous measurements are made using a Kipp & Zonen CNR4 net flux radiometer. It measures both downwelling and upwelling radiation in 2 wavelength bands which are common to many similar instruments. A shorter wavelength band measures radiation received from the sun. It encompasses the visible spectrum, together with near infrared and longer wavelength ultraviolet, over a wavelength range of approximately 0.29 - 2.8 µm. It shows a clear response to the day/night cycle. Clouds and other aerosols reduce the detected radiation. A longer wavelength band measures longer wavelength infrared radiation (approximately 4.5 - 32 µm) produced by emission from the atmosphere and earth's surface. It does not respond significantly to the day/night cycle but changes according to the time of year and degree of cloud cover. "
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                "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: HadGEM1 at the Hadley Centre for Climate Prediction and Research, Met Office data",
                "abstract": "Data from the Met Office Hadley Centre HadGEM1 simulations"
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                "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: MIROC3.2(medres) (Model for Interdisciplinary Research on Climate) at Centre for Climate System Research (The University of Tokyo) data",
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                "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: Parallel Climate Model (PCM) (National Center for Atmospheric Research (NCAR)) data",
                "abstract": "Data from the National Center for Atmospheric Research (NCAR) Parallel Climate Model (PCM) simulations"
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                "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: CM2.1 - AOGCM (Geophysical Fluid Dynamics Laboratory,NOAA) data",
                "abstract": "Data from the Geophysical Fluid Dynamics Laboratory,NOAA CM2.1 - AOGCM simulations "
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                "title": "World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: CSIRO Mark 3.5 (CSIRO, Australia) data.",
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                "title": "GERB-1: Level 2 averaged rectified geolocated radiance and flux data (L2arg)",
                "abstract": "This dataset contains Level 2 averaged rectified geolocated radiance and flux data (L2arg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0.  These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes.  Times contained in the level 2 ARG product names indicate the nominal start of the integration period.  North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).\r\n"
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                "short_code": "ob",
                "title": "GERB-2: Level 2 averaged rectified geolocated radiance and flux data (L2arg)",
                "abstract": "This dataset contains Level 2 averaged rectified geolocated radiance and flux data (L2arg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0.  These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. GERB 2 (METEOSAT-8) record covers the period March 2004 to April 2007. GERB 1 (METEOSAT-9) record covers the period May 2007 to January 2013.\r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please also cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2 ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW and TOT GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes.  Times contained in the level 2 ARG product names indicate the nominal start of the integration period.  North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF)."
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                "title": "WCRP CMIP3: CGCM3-1-T63 (Canadian Centre for Climate Modelling & Analysis) data.",
                "abstract": "Data from the Canadian Centre for Climate Modelling & Analysis CGCM3-1-T63 simulations"
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                "title": "Met Office Atmospheric Angular Momentum data (1983-1993)",
                "abstract": "The Effective Atmospheric Angular Momentum (EAAM) is a combined project from the Met Office and the European Centre for Medium Range Weather Forecasting (ECMWF). The data is of 3 angular momentum components of the mass and wind terms at 12 or 24 hourly intervals. The Met Office data are from 1983-1997. The corresponding ECMWF data cover the period 1979 to 1993. This dataset is public."
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                "title": "ADRIEX: CO outputs from the TOMCAT model",
                "abstract": "The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.\r\n\r\nThis dataset contains CO ouputs from the TOMCAT model.\r\n\r\n“Chemical attributes” are found by interpolating chemical distributions (in space and time) from a global chemical transport model to the origin of each trajectory (using its full length). During the ICARTT campaign the TOMCAT global CTM is being run in near-real time (about 19 hours behind present) driven by wind analyses from the ECMWF. The back trajectories are sufficiently long that a TOMCAT chemical analysis exists even at the origin of forecast trajectories. For example, the longest forecast lead time for the Azores domain is 5 days but the back trajectories are 7 days long so that the TOMCAT fields dating from 2 days before the latest meteorological analysis are used to find the attributes. For the US East Coast domain the back trajectories are shorter (3 days long) but the longest lead time is also 3 days so that the chemical attributes can be calculated as soon as TOMCAT has been brought up to date with the latest ECMWF analyses."
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                "short_code": "ob",
                "title": "ADRIEX: NOx outputs from the TOMCAT model",
                "abstract": "The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.\r\n\r\nThis dataset contains NOx outputs from the TOMCAT model. \r\n\r\n“Chemical attributes” are found by interpolating chemical distributions (in space and time) from a global chemical transport model to the origin of each trajectory (using its full length). During the ICARTT campaign the TOMCAT global CTM is being run in near-real time (about 19 hours behind present) driven by wind analyses from the ECMWF. The back trajectories are sufficiently long that a TOMCAT chemical analysis exists even at the origin of forecast trajectories. For example, the longest forecast lead time for the Azores domain is 5 days but the back trajectories are 7 days long so that the TOMCAT fields dating from 2 days before the latest meteorological analysis are used to find the attributes. For the US East Coast domain the back trajectories are shorter (3 days long) but the longest lead time is also 3 days so that the chemical attributes can be calculated as soon as TOMCAT has been brought up to date with the latest ECMWF analyses."
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            "short_code": "result",
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                "ob_id": 13405,
                "uuid": "acd355453a9e43b2917abc96cb7c2c1e",
                "short_code": "ob",
                "title": "ADIREX: O3 outputs from the TOMCAT model",
                "abstract": "The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.\r\n\r\nThis dataset contains O3 outputs from the TOMCAT model. \r\n\r\n“Chemical attributes” are found by interpolating chemical distributions (in space and time) from a global chemical transport model to the origin of each trajectory (using its full length). During the ICARTT campaign the TOMCAT global CTM is being run in near-real time (about 19 hours behind present) driven by wind analyses from the ECMWF. The back trajectories are sufficiently long that a TOMCAT chemical analysis exists even at the origin of forecast trajectories. For example, the longest forecast lead time for the Azores domain is 5 days but the back trajectories are 7 days long so that the TOMCAT fields dating from 2 days before the latest meteorological analysis are used to find the attributes. For the US East Coast domain the back trajectories are shorter (3 days long) but the longest lead time is also 3 days so that the chemical attributes can be calculated as soon as TOMCAT has been brought up to date with the latest ECMWF analyses."
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                "title": "ADRIEX: ECMWF convective precipitation model output",
                "abstract": "The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.\r\n\r\nThis dataset contains ECMWF Convective precipitation model from a ECMWF Computer."
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                "uuid": "b62c612a7fbd48b38050ebb041613a1d",
                "short_code": "ob",
                "title": "ADRIEX: ECMWF high level cloud model output",
                "abstract": "The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere.\r\n\r\nThis dataset contains ECMWF High level cloud model from a ECMWF Computer."
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                "uuid": "425bf36cb27b40a08b7834c6621beeda",
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