Result List

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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains GEOSCCM model output from the WMO 2006 REF2 experiment run by the National Aeronautics and Space Administration (NASA)."
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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains MAECHAM4CHEM model output from the WMO 2006 REF2 experiment run by the Max Planck Institutes (MPI), Germany."
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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains model MRI output from the WMO 2006 REF2 experiment run by Meteorological Research Institute (MRI), Tsukuba, Japan."
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                "title": "CCMVal-1: PMOD/WRC and ETHZ SOCOL model contribution to the WMO 2006 REF2 experiment",
                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains SOCOL model output from the WMO 2006 REF2 experiment run by the Physikalisch-Meteorologisches Observatorium Davos (PMOD/WRC) and Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland."
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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains ULAQ model output from the WMO 2006 REF2 experiment run by the University of L'Aquila, Italy."
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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains UMSLIMCAT model output from the WMO 2006 REF2 experiment run by the University of Leeds."
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                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains WACCM model output from the WMO 2006 REF2 experiment run by the National Center for Atmospheric Research (NCAR)."
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                "title": "CCMVal-1: Met Office HadGEM SSTs (Sea Surface Temperatures) for the WMO 2006 REF2 experiment",
                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains HadGEM SSTs model outputs from the WMO 2006 REF2 experiment run by the Met Office."
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                "title": "CCMVal-1: DLR Oberpfaffen-hofen E39/C model output contribution to the WMO 2006 SCN2 experiment",
                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains model feedback of O3, CH4, N2O, H2O and CFCs run by DLR Oberpfaffen-hofen, Germany E39/C model."
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                "short_code": "ob",
                "title": "CCMVal-1: Max Planck Institutes MAECHAM4CHEM model output contribution to the WMO 2006 SCN2 experiment",
                "abstract": "CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport.\r\n\r\nThis dataset contains MAECHAM4CHEM model output from the WMO 2006 SCN2 experiment run by the Max Planck Institutes (MPI), Germany."
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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.",
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                "title": "CRU CY3.21: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.21 (Jan. 1901 - Dec. 2012)",
                "abstract": "The CRU CY3.21 dataset consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries for the period Jan. 1901 to Dec. 2012. It was produced in 2013 by the Climatic Research Unit (CRU) at the University of East Anglia.\r\nSpatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). \r\n\r\n\r\nCRU CY3.21 is derived directly from the CRU TS3.21 dataset. Version numbering is matched between the two datasets. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY3.21 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.21. 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."
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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.",
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                "title": "CRU CY3.22: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.22 (Jan. 1901 - Dec. 2013)",
                "abstract": "The CRU CY version 3.22 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, Potential Evapo-transpiration and wet day frequency. \r\n\r\nThis dataset was produced in 2014 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 CY3.22 is derived directly from the CRU TS3.22 dataset. CRU CY version 3.22 spans the period 1901-2013 for 289 countries.\r\n\r\nTo understand the CRU-CY3.22 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.22. 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."
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                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1871 to 1875. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "title": "NOAA-CIRES Twentieth Century Reanalysis Project: 56 ensemble member run output for 1896-1900 in GRIB format, Version II",
                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1896 to 1900. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "short_code": "ob",
                "title": "NOAA-CIRES Twentieth Century Reanalysis Project: 56 ensemble member run output for 1886-1890 in GRIB format, Version II",
                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1886 to 1890. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1891 to 1895. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1881 to 1885. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1876 to 1880. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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                "abstract": "The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1911 to 1915. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels.\r\n\r\nThe dataset authors request that the following acknowledgment be included in all papers using the dataset:\r\n\r\n'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/)'"
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}