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    Impact of Tropical Subseasonal SST Variability on Seasonal Mean Climate Simulations

    Source: Monthly Weather Review:;2001:;volume( 129 ):;issue: 004::page 853
    Author:
    Kirtman, Ben P.
    ,
    Paolino, Dan A.
    ,
    Kinter, James L.
    ,
    Straus, David M.
    DOI: 10.1175/1520-0493(2001)129<0853:IOTSSV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The purpose of this study is to examine the impact of subseasonal sea surface temperature (SST) variability on the simulation of the seasonal mean extratropical circulation using a state-of-the-art high-resolution atmospheric general circulation model (AGCM). The format is a case study for January through March 1989 (JFM89) and the primary emphasis is on regional scales over North America. The SST boundary conditions in the AGCM simulations were prescribed using observed weekly data. Experiments were made in which the week-to-week (subseasonal) SST variability was suppressed. In terms of the largest spatial scales, the subseasonal SST variability has only a modest impact; however, statistically significant modifications to the 500-mb height anomalies over North America were detected. Consistent with these changes in the height field, the seasonal mean North American rainfall anomalies were particularly sensitive to the subseasonal SST variations, especially over the Pacific Northwest. Two possible mechanisms for this sensitivity were investigated with additional AGCM experiments and model diagnostics. The first mechanism, referred to as a ?stochastic? effect, is defined by the hypothesis that the week-to-week SST variability only serves to enhance the amplitude of tropical precipitation variability, which, in turn, modifies the midlatitude response. With this stochastic effect, the details of the subseasonal SST evolution do not matter. In contrast, the second mechanism is a ?deterministic? effect in that the details of the evolution of the subseasonal SST matter. The experiments presented here indicate that the stochastic effect is small and that the details of the subseasonal SST produce significant differences. This conclusion is supported by experiments with very large ensembles using a somewhat lower-resolution AGCM and a nonlinear barotropic model. Finally, some implications of these results for real-time forecasting are discussed.
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      Impact of Tropical Subseasonal SST Variability on Seasonal Mean Climate Simulations

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4204740
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    contributor authorKirtman, Ben P.
    contributor authorPaolino, Dan A.
    contributor authorKinter, James L.
    contributor authorStraus, David M.
    date accessioned2017-06-09T16:13:37Z
    date available2017-06-09T16:13:37Z
    date copyright2001/04/01
    date issued2001
    identifier issn0027-0644
    identifier otherams-63707.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4204740
    description abstractThe purpose of this study is to examine the impact of subseasonal sea surface temperature (SST) variability on the simulation of the seasonal mean extratropical circulation using a state-of-the-art high-resolution atmospheric general circulation model (AGCM). The format is a case study for January through March 1989 (JFM89) and the primary emphasis is on regional scales over North America. The SST boundary conditions in the AGCM simulations were prescribed using observed weekly data. Experiments were made in which the week-to-week (subseasonal) SST variability was suppressed. In terms of the largest spatial scales, the subseasonal SST variability has only a modest impact; however, statistically significant modifications to the 500-mb height anomalies over North America were detected. Consistent with these changes in the height field, the seasonal mean North American rainfall anomalies were particularly sensitive to the subseasonal SST variations, especially over the Pacific Northwest. Two possible mechanisms for this sensitivity were investigated with additional AGCM experiments and model diagnostics. The first mechanism, referred to as a ?stochastic? effect, is defined by the hypothesis that the week-to-week SST variability only serves to enhance the amplitude of tropical precipitation variability, which, in turn, modifies the midlatitude response. With this stochastic effect, the details of the subseasonal SST evolution do not matter. In contrast, the second mechanism is a ?deterministic? effect in that the details of the evolution of the subseasonal SST matter. The experiments presented here indicate that the stochastic effect is small and that the details of the subseasonal SST produce significant differences. This conclusion is supported by experiments with very large ensembles using a somewhat lower-resolution AGCM and a nonlinear barotropic model. Finally, some implications of these results for real-time forecasting are discussed.
    publisherAmerican Meteorological Society
    titleImpact of Tropical Subseasonal SST Variability on Seasonal Mean Climate Simulations
    typeJournal Paper
    journal volume129
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(2001)129<0853:IOTSSV>2.0.CO;2
    journal fristpage853
    journal lastpage868
    treeMonthly Weather Review:;2001:;volume( 129 ):;issue: 004
    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
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