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    THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research

    Source: Bulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 009::page 1383
    Author:
    Meehl, Gerald A.
    ,
    Covey, Curt
    ,
    Taylor, Karl E.
    ,
    Delworth, Thomas
    ,
    Stouffer, Ronald J.
    ,
    Latif, Mojib
    ,
    McAvaney, Bryant
    ,
    Mitchell, John F. B.
    DOI: 10.1175/BAMS-88-9-1383
    Publisher: American Meteorological Society
    Abstract: A coordinated set of global coupled climate model [atmosphere?ocean general circulation model (AOGCM)] experiments for twentieth- and twenty-first-century climate, as well as several climate change commitment and other experiments, was run by 16 modeling groups from 11 countries with 23 models for assessment in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). Since the assessment was completed, output from another model has been added to the dataset, so the participation is now 17 groups from 12 countries with 24 models. This effort, as well as the subsequent analysis phase, was organized by the World Climate Research Programme (WCRP) Climate Variability and Predictability (CLIVAR) Working Group on Coupled Models (WGCM) Climate Simulation Panel, and constitutes the third phase of the Coupled Model Intercomparison Project (CMIP3). The dataset is called the WCRP CMIP3 multimodel dataset, and represents the largest and most comprehensive international global coupled climate model experiment and multimodel analysis effort ever attempted. As of March 2007, the Program for Climate Model Diagnostics and Intercomparison (PCMDI) has collected, archived, and served roughly 32 TB of model data. With oversight from the panel, the multimodel data were made openly available from PCMDI for analysis and academic applications. Over 171 TB of data had been downloaded among the more than 1000 registered users to date. Over 200 journal articles, based in part on the dataset, have been published so far. Though initially aimed at the IPCC AR4, this unique and valuable resource will continue to be maintained for at least the next several years. Never before has such an extensive set of climate model simulations been made available to the international climate science community for study. The ready access to the multimodel dataset opens up these types of model analyses to researchers, including students, who previously could not obtain state-of-the-art climate model output, and thus represents a new era in climate change research. As a direct consequence, these ongoing studies are increasing the body of knowledge regarding our understanding of how the climate system currently works, and how it may change in the future.
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      THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215115
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    contributor authorMeehl, Gerald A.
    contributor authorCovey, Curt
    contributor authorTaylor, Karl E.
    contributor authorDelworth, Thomas
    contributor authorStouffer, Ronald J.
    contributor authorLatif, Mojib
    contributor authorMcAvaney, Bryant
    contributor authorMitchell, John F. B.
    date accessioned2017-06-09T16:43:32Z
    date available2017-06-09T16:43:32Z
    date copyright2007/09/01
    date issued2007
    identifier issn0003-0007
    identifier otherams-73044.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215115
    description abstractA coordinated set of global coupled climate model [atmosphere?ocean general circulation model (AOGCM)] experiments for twentieth- and twenty-first-century climate, as well as several climate change commitment and other experiments, was run by 16 modeling groups from 11 countries with 23 models for assessment in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). Since the assessment was completed, output from another model has been added to the dataset, so the participation is now 17 groups from 12 countries with 24 models. This effort, as well as the subsequent analysis phase, was organized by the World Climate Research Programme (WCRP) Climate Variability and Predictability (CLIVAR) Working Group on Coupled Models (WGCM) Climate Simulation Panel, and constitutes the third phase of the Coupled Model Intercomparison Project (CMIP3). The dataset is called the WCRP CMIP3 multimodel dataset, and represents the largest and most comprehensive international global coupled climate model experiment and multimodel analysis effort ever attempted. As of March 2007, the Program for Climate Model Diagnostics and Intercomparison (PCMDI) has collected, archived, and served roughly 32 TB of model data. With oversight from the panel, the multimodel data were made openly available from PCMDI for analysis and academic applications. Over 171 TB of data had been downloaded among the more than 1000 registered users to date. Over 200 journal articles, based in part on the dataset, have been published so far. Though initially aimed at the IPCC AR4, this unique and valuable resource will continue to be maintained for at least the next several years. Never before has such an extensive set of climate model simulations been made available to the international climate science community for study. The ready access to the multimodel dataset opens up these types of model analyses to researchers, including students, who previously could not obtain state-of-the-art climate model output, and thus represents a new era in climate change research. As a direct consequence, these ongoing studies are increasing the body of knowledge regarding our understanding of how the climate system currently works, and how it may change in the future.
    publisherAmerican Meteorological Society
    titleTHE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
    typeJournal Paper
    journal volume88
    journal issue9
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-88-9-1383
    journal fristpage1383
    journal lastpage1394
    treeBulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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