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    Impact of Coupling an Ocean Model to WRF Nor’easter Simulations

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 012::page 4997
    Author:
    Nicholls, Stephen D.
    ,
    Decker, Steven G.
    DOI: 10.1175/MWR-D-15-0017.1
    Publisher: American Meteorological Society
    Abstract: he impact of ocean?atmosphere coupling and its possible seasonal dependence upon Weather Research and Forecasting (WRF) Model simulations of seven, wintertime cyclone events was investigated. Model simulations were identical aside from the degree of ocean model coupling (static SSTs, 1D mixed layer model, full-physics 3D ocean model). Both 1D and 3D ocean model coupling simulations show that SSTs following the passage of a nor?easter did tend to cool more strongly during the early season (October?December) and were more likely to warm late in the season (February?April). Model simulations produce SST differences of up to 1.14 K, but this change did not lead to significant changes in storm track (<100 km), maximum 10-m winds (<2 m s?1), or minimum sea level pressure (≤5 hPa). Simulated precipitation showed little sensitivity to model coupling, but all simulations did tend to overpredict precipitation extent (bias > 1) and have low-to-moderate threat scores (0.31?0.59). Analysis of the storm environment and the overall simulation failed to reveal any statistically significant differences in model error attributable to ocean?atmosphere coupling. Despite this result, ocean model coupling can reduce dynamical field error at a single level by up to 20%, and this was slightly greater (1%?2%) with 3D ocean model coupling as compared to 1D ocean model coupling. Thus, while 3D ocean model coupling tended to generally produce more realistic simulations, its impact would likely be more profound for longer-term simulations.
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      Impact of Coupling an Ocean Model to WRF Nor’easter Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4230706
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    contributor authorNicholls, Stephen D.
    contributor authorDecker, Steven G.
    date accessioned2017-06-09T17:32:57Z
    date available2017-06-09T17:32:57Z
    date copyright2015/12/01
    date issued2015
    identifier issn0027-0644
    identifier otherams-87077.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230706
    description abstracthe impact of ocean?atmosphere coupling and its possible seasonal dependence upon Weather Research and Forecasting (WRF) Model simulations of seven, wintertime cyclone events was investigated. Model simulations were identical aside from the degree of ocean model coupling (static SSTs, 1D mixed layer model, full-physics 3D ocean model). Both 1D and 3D ocean model coupling simulations show that SSTs following the passage of a nor?easter did tend to cool more strongly during the early season (October?December) and were more likely to warm late in the season (February?April). Model simulations produce SST differences of up to 1.14 K, but this change did not lead to significant changes in storm track (<100 km), maximum 10-m winds (<2 m s?1), or minimum sea level pressure (≤5 hPa). Simulated precipitation showed little sensitivity to model coupling, but all simulations did tend to overpredict precipitation extent (bias > 1) and have low-to-moderate threat scores (0.31?0.59). Analysis of the storm environment and the overall simulation failed to reveal any statistically significant differences in model error attributable to ocean?atmosphere coupling. Despite this result, ocean model coupling can reduce dynamical field error at a single level by up to 20%, and this was slightly greater (1%?2%) with 3D ocean model coupling as compared to 1D ocean model coupling. Thus, while 3D ocean model coupling tended to generally produce more realistic simulations, its impact would likely be more profound for longer-term simulations.
    publisherAmerican Meteorological Society
    titleImpact of Coupling an Ocean Model to WRF Nor’easter Simulations
    typeJournal Paper
    journal volume143
    journal issue12
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-15-0017.1
    journal fristpage4997
    journal lastpage5016
    treeMonthly Weather Review:;2015:;volume( 143 ):;issue: 012
    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