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    Predictability of the Stable Atmospheric Boundary Layer

    Source: Journal of the Atmospheric Sciences:;1995:;Volume( 052 ):;issue: 010::page 1602
    Author:
    McNider, Richard T.
    ,
    England, David E.
    ,
    Friedman, Mark J.
    ,
    Shi, Xingzhong
    DOI: 10.1175/1520-0469(1995)052<1602:POTSAB>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The partial differential equation set for the horizontally homogeneous nocturnal boundary layer under first-order closure is discretized and truncated to a two-layer system. This system can be treated as a coupled four-layer ordinary differential equation set Using techniques of nonlinear dynamics, including numerical continuation and nonlinear stability analysis, characteristics of the solutions are developed. The bifurcation diagrams show classic S-shaped behavior so that the equations support multivalued solutions for certain values of external parameters. Both stable and unstable solution regimes exist with multiple, stable limit points. The results have strong implications for the predictability of the stable boundary layer in that even slight changes in initial conditions (or perturbations) would lead to quite different solutions in terms of temperature and wind speed for the regions of multivalued solutions. Practically, this means that predictions of frost or pollution dispersion may not be made with confidence for certain parameter regimes. If this type of behavior holds in the full partial differential equation set, it also means that additional physics or numerical sophistication in models will not improve the prediction of winds or temperature.
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      Predictability of the Stable Atmospheric Boundary Layer

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4157803
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    contributor authorMcNider, Richard T.
    contributor authorEngland, David E.
    contributor authorFriedman, Mark J.
    contributor authorShi, Xingzhong
    date accessioned2017-06-09T14:33:02Z
    date available2017-06-09T14:33:02Z
    date copyright1995/05/01
    date issued1995
    identifier issn0022-4928
    identifier otherams-21461.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4157803
    description abstractThe partial differential equation set for the horizontally homogeneous nocturnal boundary layer under first-order closure is discretized and truncated to a two-layer system. This system can be treated as a coupled four-layer ordinary differential equation set Using techniques of nonlinear dynamics, including numerical continuation and nonlinear stability analysis, characteristics of the solutions are developed. The bifurcation diagrams show classic S-shaped behavior so that the equations support multivalued solutions for certain values of external parameters. Both stable and unstable solution regimes exist with multiple, stable limit points. The results have strong implications for the predictability of the stable boundary layer in that even slight changes in initial conditions (or perturbations) would lead to quite different solutions in terms of temperature and wind speed for the regions of multivalued solutions. Practically, this means that predictions of frost or pollution dispersion may not be made with confidence for certain parameter regimes. If this type of behavior holds in the full partial differential equation set, it also means that additional physics or numerical sophistication in models will not improve the prediction of winds or temperature.
    publisherAmerican Meteorological Society
    titlePredictability of the Stable Atmospheric Boundary Layer
    typeJournal Paper
    journal volume52
    journal issue10
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1995)052<1602:POTSAB>2.0.CO;2
    journal fristpage1602
    journal lastpage1614
    treeJournal of the Atmospheric Sciences:;1995:;Volume( 052 ):;issue: 010
    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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