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    Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 023::page 6312
    Author:
    Watanabe, Masahiro
    ,
    Suzuki, Tatsuo
    ,
    O’ishi, Ryouta
    ,
    Komuro, Yoshiki
    ,
    Watanabe, Shingo
    ,
    Emori, Seita
    ,
    Takemura, Toshihiko
    ,
    Chikira, Minoru
    ,
    Ogura, Tomoo
    ,
    Sekiguchi, Miho
    ,
    Takata, Kumiko
    ,
    Yamazaki, Dai
    ,
    Yokohata, Tokuta
    ,
    Nozawa, Toru
    ,
    Hasumi, Hiroyasu
    ,
    Tatebe, Hiroaki
    ,
    Kimoto, Masahide
    DOI: 10.1175/2010JCLI3679.1
    Publisher: American Meteorological Society
    Abstract: A new version of the atmosphere?ocean general circulation model cooperatively produced by the Japanese research community, known as the Model for Interdisciplinary Research on Climate (MIROC), has recently been developed. A century-long control experiment was performed using the new version (MIROC5) with the standard resolution of the T85 atmosphere and 1° ocean models. The climatological mean state and variability are then compared with observations and those in a previous version (MIROC3.2) with two different resolutions (medres, hires), coarser and finer than the resolution of MIROC5. A few aspects of the mean fields in MIROC5 are similar to or slightly worse than MIROC3.2, but otherwise the climatological features are considerably better. In particular, improvements are found in precipitation, zonal mean atmospheric fields, equatorial ocean subsurface fields, and the simulation of El Niño?Southern Oscillation. The difference between MIROC5 and the previous model is larger than that between the two MIROC3.2 versions, indicating a greater effect of updating parameterization schemes on the model climate than increasing the model resolution. The mean cloud property obtained from the sophisticated prognostic schemes in MIROC5 shows good agreement with satellite measurements. MIROC5 reveals an equilibrium climate sensitivity of 2.6 K, which is lower than that in MIROC3.2 by 1 K. This is probably due to the negative feedback of low clouds to the increasing concentration of CO2, which is opposite to that in MIROC3.2.
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      Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4212453
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    contributor authorWatanabe, Masahiro
    contributor authorSuzuki, Tatsuo
    contributor authorO’ishi, Ryouta
    contributor authorKomuro, Yoshiki
    contributor authorWatanabe, Shingo
    contributor authorEmori, Seita
    contributor authorTakemura, Toshihiko
    contributor authorChikira, Minoru
    contributor authorOgura, Tomoo
    contributor authorSekiguchi, Miho
    contributor authorTakata, Kumiko
    contributor authorYamazaki, Dai
    contributor authorYokohata, Tokuta
    contributor authorNozawa, Toru
    contributor authorHasumi, Hiroyasu
    contributor authorTatebe, Hiroaki
    contributor authorKimoto, Masahide
    date accessioned2017-06-09T16:35:50Z
    date available2017-06-09T16:35:50Z
    date copyright2010/12/01
    date issued2010
    identifier issn0894-8755
    identifier otherams-70649.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212453
    description abstractA new version of the atmosphere?ocean general circulation model cooperatively produced by the Japanese research community, known as the Model for Interdisciplinary Research on Climate (MIROC), has recently been developed. A century-long control experiment was performed using the new version (MIROC5) with the standard resolution of the T85 atmosphere and 1° ocean models. The climatological mean state and variability are then compared with observations and those in a previous version (MIROC3.2) with two different resolutions (medres, hires), coarser and finer than the resolution of MIROC5. A few aspects of the mean fields in MIROC5 are similar to or slightly worse than MIROC3.2, but otherwise the climatological features are considerably better. In particular, improvements are found in precipitation, zonal mean atmospheric fields, equatorial ocean subsurface fields, and the simulation of El Niño?Southern Oscillation. The difference between MIROC5 and the previous model is larger than that between the two MIROC3.2 versions, indicating a greater effect of updating parameterization schemes on the model climate than increasing the model resolution. The mean cloud property obtained from the sophisticated prognostic schemes in MIROC5 shows good agreement with satellite measurements. MIROC5 reveals an equilibrium climate sensitivity of 2.6 K, which is lower than that in MIROC3.2 by 1 K. This is probably due to the negative feedback of low clouds to the increasing concentration of CO2, which is opposite to that in MIROC3.2.
    publisherAmerican Meteorological Society
    titleImproved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity
    typeJournal Paper
    journal volume23
    journal issue23
    journal titleJournal of Climate
    identifier doi10.1175/2010JCLI3679.1
    journal fristpage6312
    journal lastpage6335
    treeJournal of Climate:;2010:;volume( 023 ):;issue: 023
    contenttypeFulltext
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