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    Numerical Prediction of Submesoscale Flow in the Nocturnal Stable Boundary Layer over Complex Terrain

    Source: Monthly Weather Review:;2011:;volume( 140 ):;issue: 003::page 956
    Author:
    Seaman, Nelson L.
    ,
    Gaudet, Brian J.
    ,
    Stauffer, David R.
    ,
    Mahrt, Larry
    ,
    Richardson, Scott J.
    ,
    Zielonka, Jeffrey R.
    ,
    Wyngaard, John C.
    DOI: 10.1175/MWR-D-11-00061.1
    Publisher: American Meteorological Society
    Abstract: umerical weather prediction models often perform poorly for weakly forced, highly variable winds in nocturnal stable boundary layers (SBLs). When used as input to air-quality and dispersion models, these wind errors can lead to large errors in subsequent plume forecasts. Finer grid resolution and improved model numerics and physics can help reduce these errors. The Advanced Research Weather Research and Forecasting model (ARW-WRF) has higher-order numerics that may improve predictions of finescale winds (scales <~20 km) in nocturnal SBLs. However, better understanding of the physics controlling SBL flow is needed to take optimal advantage of advanced modeling capabilities.To facilitate ARW-WRF evaluations, a small network of instrumented towers was deployed in the ridge-and-valley topography of central Pennsylvania (PA). Time series of local observations and model forecasts on 1.333- and 0.444-km grids were filtered to isolate deterministic lower-frequency wind components. The time-filtered SBL winds have substantially reduced root-mean-square errors and biases, compared to raw data. Subkilometer horizontal and very fine vertical resolutions are found to be important for reducing model speed and direction errors. Nonturbulent fluctuations in unfiltered, very finescale winds, parts of which may be resolvable by ARW-WRF, are shown to generate horizontal meandering in stable weakly forced conditions. These submesoscale motions include gravity waves, primarily horizontal 2D motions, and other complex signatures. Vertical structure and low-level biases of SBL variables are shown to be sensitive to parameter settings defining minimum ?background? mixing in very stable conditions in two representative turbulence schemes.
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      Numerical Prediction of Submesoscale Flow in the Nocturnal Stable Boundary Layer over Complex Terrain

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4229661
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    contributor authorSeaman, Nelson L.
    contributor authorGaudet, Brian J.
    contributor authorStauffer, David R.
    contributor authorMahrt, Larry
    contributor authorRichardson, Scott J.
    contributor authorZielonka, Jeffrey R.
    contributor authorWyngaard, John C.
    date accessioned2017-06-09T17:29:15Z
    date available2017-06-09T17:29:15Z
    date copyright2012/03/01
    date issued2011
    identifier issn0027-0644
    identifier otherams-86136.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229661
    description abstractumerical weather prediction models often perform poorly for weakly forced, highly variable winds in nocturnal stable boundary layers (SBLs). When used as input to air-quality and dispersion models, these wind errors can lead to large errors in subsequent plume forecasts. Finer grid resolution and improved model numerics and physics can help reduce these errors. The Advanced Research Weather Research and Forecasting model (ARW-WRF) has higher-order numerics that may improve predictions of finescale winds (scales <~20 km) in nocturnal SBLs. However, better understanding of the physics controlling SBL flow is needed to take optimal advantage of advanced modeling capabilities.To facilitate ARW-WRF evaluations, a small network of instrumented towers was deployed in the ridge-and-valley topography of central Pennsylvania (PA). Time series of local observations and model forecasts on 1.333- and 0.444-km grids were filtered to isolate deterministic lower-frequency wind components. The time-filtered SBL winds have substantially reduced root-mean-square errors and biases, compared to raw data. Subkilometer horizontal and very fine vertical resolutions are found to be important for reducing model speed and direction errors. Nonturbulent fluctuations in unfiltered, very finescale winds, parts of which may be resolvable by ARW-WRF, are shown to generate horizontal meandering in stable weakly forced conditions. These submesoscale motions include gravity waves, primarily horizontal 2D motions, and other complex signatures. Vertical structure and low-level biases of SBL variables are shown to be sensitive to parameter settings defining minimum ?background? mixing in very stable conditions in two representative turbulence schemes.
    publisherAmerican Meteorological Society
    titleNumerical Prediction of Submesoscale Flow in the Nocturnal Stable Boundary Layer over Complex Terrain
    typeJournal Paper
    journal volume140
    journal issue3
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-11-00061.1
    journal fristpage956
    journal lastpage977
    treeMonthly Weather Review:;2011:;volume( 140 ):;issue: 003
    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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