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    Simulations of Atmospheric Rivers, Their Variability and Response to GlobalWarming Using GFDL’s New High Resolution General Circulation Model

    Source: Journal of Climate:;2020:;volume( ):;issue: -::page 1
    Author:
    Zhao, Ming
    DOI: 10.1175/JCLI-D-20-0241.1
    Publisher: American Meteorological Society
    Abstract: A 50km resolution GFDL AM4 well captures many aspects of observed atmospheric river (AR) characteristics including the probability density functions of AR length, width, length-width ratio, geographical location, the magnitude and direction of AR mean vertically integrated vapor transport (IVT) with the model typically producing stronger and narrower ARs than the ERA-Interim reanalysis results. Despite significant regional biases, the model well reproduces the observed spatial distribution of AR frequency and their variability in response to large-scale circulation patterns such as the El Niño - Southern Oscillation (ENSO), the Northern/Southern hemisphere Annular Mode (NAM/SAM), and the Pacific North American (PNA) teleconnection pattern. For global warming scenarios, in contrast to most previous studies which show a large increase in AR length and width and therefore the occurrence frequency of AR conditions at a given location, this study shows only a modest increase in these quantities. However, the model produces a large increase in strong ARs with the frequency of Category 3-5 ARs rising by roughly 100-300%/K. The global mean AR intensity as well as AR intensity percentiles at most percent ranks increases by 5-8%/K, roughly consistent with the Clausius-Clapeyron scaling of water vapor. Finally, the results point out the importance of AR IVT thresholds in quantifying modeled AR response to global warming.
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      Simulations of Atmospheric Rivers, Their Variability and Response to GlobalWarming Using GFDL’s New High Resolution General Circulation Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264364
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    contributor authorZhao, Ming
    date accessioned2022-01-30T18:01:22Z
    date available2022-01-30T18:01:22Z
    date copyright9/16/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200241.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264364
    description abstractA 50km resolution GFDL AM4 well captures many aspects of observed atmospheric river (AR) characteristics including the probability density functions of AR length, width, length-width ratio, geographical location, the magnitude and direction of AR mean vertically integrated vapor transport (IVT) with the model typically producing stronger and narrower ARs than the ERA-Interim reanalysis results. Despite significant regional biases, the model well reproduces the observed spatial distribution of AR frequency and their variability in response to large-scale circulation patterns such as the El Niño - Southern Oscillation (ENSO), the Northern/Southern hemisphere Annular Mode (NAM/SAM), and the Pacific North American (PNA) teleconnection pattern. For global warming scenarios, in contrast to most previous studies which show a large increase in AR length and width and therefore the occurrence frequency of AR conditions at a given location, this study shows only a modest increase in these quantities. However, the model produces a large increase in strong ARs with the frequency of Category 3-5 ARs rising by roughly 100-300%/K. The global mean AR intensity as well as AR intensity percentiles at most percent ranks increases by 5-8%/K, roughly consistent with the Clausius-Clapeyron scaling of water vapor. Finally, the results point out the importance of AR IVT thresholds in quantifying modeled AR response to global warming.
    publisherAmerican Meteorological Society
    titleSimulations of Atmospheric Rivers, Their Variability and Response to GlobalWarming Using GFDL’s New High Resolution General Circulation Model
    typeJournal Paper
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0241.1
    journal fristpage1
    journal lastpage46
    treeJournal of Climate:;2020:;volume( ):;issue: -
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian