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    Advantages of Spatial Averaging in Semi-implicit Semi-Lagrangian Schemes

    Source: Monthly Weather Review:;1992:;volume( 120 ):;issue: 001::page 113
    Author:
    Tanguay, Monique
    ,
    Yakimiw, Evhen
    ,
    Ritchie, Harold
    ,
    Robert, André
    DOI: 10.1175/1520-0493(1992)120<0113:AOSAIS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A modified semi-Lagrangian scheme is proposed in the context of semi-implicit forecast models to reduce the important distortion of topographically forced waves that is produced when the Courant?Friedrichs?Lewy (CFL) number is greater than 1. The improved semi-Lagrangian scheme combines the original semi-implicit formulation and the spatial averaging of all nonlinear terms. The impact of the spatial averaging is assessed in two baroclinic forecast models: a global spectral model and a regional gridpoint model. The modified semi-implicit semi-Lagrangian scheme is shown to improve short- and medium-range forecasts, and to increase the efficiency of the models by reducing the number of interpolations by 20%?40%.
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      Advantages of Spatial Averaging in Semi-implicit Semi-Lagrangian Schemes

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4202730
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    • Monthly Weather Review

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    contributor authorTanguay, Monique
    contributor authorYakimiw, Evhen
    contributor authorRitchie, Harold
    contributor authorRobert, André
    date accessioned2017-06-09T16:08:36Z
    date available2017-06-09T16:08:36Z
    date copyright1992/01/01
    date issued1992
    identifier issn0027-0644
    identifier otherams-61899.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4202730
    description abstractA modified semi-Lagrangian scheme is proposed in the context of semi-implicit forecast models to reduce the important distortion of topographically forced waves that is produced when the Courant?Friedrichs?Lewy (CFL) number is greater than 1. The improved semi-Lagrangian scheme combines the original semi-implicit formulation and the spatial averaging of all nonlinear terms. The impact of the spatial averaging is assessed in two baroclinic forecast models: a global spectral model and a regional gridpoint model. The modified semi-implicit semi-Lagrangian scheme is shown to improve short- and medium-range forecasts, and to increase the efficiency of the models by reducing the number of interpolations by 20%?40%.
    publisherAmerican Meteorological Society
    titleAdvantages of Spatial Averaging in Semi-implicit Semi-Lagrangian Schemes
    typeJournal Paper
    journal volume120
    journal issue1
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1992)120<0113:AOSAIS>2.0.CO;2
    journal fristpage113
    journal lastpage123
    treeMonthly Weather Review:;1992:;volume( 120 ):;issue: 001
    contenttypeFulltext
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