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    A VAS-Numerical Model Impact Study Using the Gal-Chen Variational Approach

    Source: Monthly Weather Review:;1987:;volume( 115 ):;issue: 005::page 1009
    Author:
    Aune, Robert M.
    ,
    Tuccillo, James J.
    ,
    Uccellini, Louis W.
    ,
    Petersen, Ralph A.
    DOI: 10.1175/1520-0493(1987)115<1009:AVNMIS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Numerical experiments are conducted to assess the impact of incorporating temperature data from the VISSR Atmospheric Sounder (VAS) into a regional-scale numerical model using an assimilation technique developed by Gal-Chen. The technique uses a three-dimensional variational approach to combine the VAS observations with model temperature fields during the numerical integration. A nudging technique is also tested, whereby the model temperature field is constrained toward the VAS ?updated? values during the assimilation cycle. Results of the experiments indicate that the Gal-Chen assimilation technique successfully combines actual VAS temperature observations with the dynamically balanced model fields without destabilizing the model during the assimilation cycle. Furthermore, increasing the temporal frequency of VAS temperature insertions during the assimilation cycle enhances the impact on the model forecast through successively longer forecast periods. These results support the conclusions of earlier experiments with simulated geostationary satellite data that show an increasing positive impact on numerical simulations as the insertion rate of the satellite-based temperature information is increased. Incorporating the nudging technique further enhances the impact of the VAS temperature data, permitting the model wind field to adjust to the updated temperature fields and increasing the impact on the VAS data through a longer portion of the model simulation.
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      A VAS-Numerical Model Impact Study Using the Gal-Chen Variational Approach

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4201755
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    • Monthly Weather Review

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    contributor authorAune, Robert M.
    contributor authorTuccillo, James J.
    contributor authorUccellini, Louis W.
    contributor authorPetersen, Ralph A.
    date accessioned2017-06-09T16:06:17Z
    date available2017-06-09T16:06:17Z
    date copyright1987/05/01
    date issued1987
    identifier issn0027-0644
    identifier otherams-61020.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4201755
    description abstractNumerical experiments are conducted to assess the impact of incorporating temperature data from the VISSR Atmospheric Sounder (VAS) into a regional-scale numerical model using an assimilation technique developed by Gal-Chen. The technique uses a three-dimensional variational approach to combine the VAS observations with model temperature fields during the numerical integration. A nudging technique is also tested, whereby the model temperature field is constrained toward the VAS ?updated? values during the assimilation cycle. Results of the experiments indicate that the Gal-Chen assimilation technique successfully combines actual VAS temperature observations with the dynamically balanced model fields without destabilizing the model during the assimilation cycle. Furthermore, increasing the temporal frequency of VAS temperature insertions during the assimilation cycle enhances the impact on the model forecast through successively longer forecast periods. These results support the conclusions of earlier experiments with simulated geostationary satellite data that show an increasing positive impact on numerical simulations as the insertion rate of the satellite-based temperature information is increased. Incorporating the nudging technique further enhances the impact of the VAS temperature data, permitting the model wind field to adjust to the updated temperature fields and increasing the impact on the VAS data through a longer portion of the model simulation.
    publisherAmerican Meteorological Society
    titleA VAS-Numerical Model Impact Study Using the Gal-Chen Variational Approach
    typeJournal Paper
    journal volume115
    journal issue5
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1987)115<1009:AVNMIS>2.0.CO;2
    journal fristpage1009
    journal lastpage1035
    treeMonthly Weather Review:;1987:;volume( 115 ):;issue: 005
    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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