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    Fine-Resolution 4DVAR Data Assimilation for the Great Plains Tornado Outbreak of 3 May 1999

    Source: Weather and Forecasting:;2002:;volume( 017 ):;issue: 003::page 506
    Author:
    Zupanski, Dusanka
    ,
    Zupanski, Milija
    ,
    Rogers, Eric
    ,
    Parrish, David F.
    ,
    DiMego, Geoffrey J.
    DOI: 10.1175/1520-0434(2002)017<0506:FRDAFT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The National Centers for Environmental Prediction fine-resolution four-dimensional variational (4DVAR) data assimilation system is used to study the Great Plains tornado outbreak of 3 May 1999. It was found that the 4DVAR method was able to capture very well the important precursors for the tornadic activity, such as upper- and low-level jet streaks, wind shear, humidity field, surface CAPE, and so on. It was also demonstrated that, in this particular synoptic case, characterized by fast-changing mesoscale systems, the model error adjustment played a substantial role. The experimental results suggest that the common practice of neglecting the model error in data assimilation systems may not be justified in synoptic situations similar to this one.
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      Fine-Resolution 4DVAR Data Assimilation for the Great Plains Tornado Outbreak of 3 May 1999

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4169990
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    • Weather and Forecasting

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    contributor authorZupanski, Dusanka
    contributor authorZupanski, Milija
    contributor authorRogers, Eric
    contributor authorParrish, David F.
    contributor authorDiMego, Geoffrey J.
    date accessioned2017-06-09T15:01:31Z
    date available2017-06-09T15:01:31Z
    date copyright2002/06/01
    date issued2002
    identifier issn0882-8156
    identifier otherams-3243.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4169990
    description abstractThe National Centers for Environmental Prediction fine-resolution four-dimensional variational (4DVAR) data assimilation system is used to study the Great Plains tornado outbreak of 3 May 1999. It was found that the 4DVAR method was able to capture very well the important precursors for the tornadic activity, such as upper- and low-level jet streaks, wind shear, humidity field, surface CAPE, and so on. It was also demonstrated that, in this particular synoptic case, characterized by fast-changing mesoscale systems, the model error adjustment played a substantial role. The experimental results suggest that the common practice of neglecting the model error in data assimilation systems may not be justified in synoptic situations similar to this one.
    publisherAmerican Meteorological Society
    titleFine-Resolution 4DVAR Data Assimilation for the Great Plains Tornado Outbreak of 3 May 1999
    typeJournal Paper
    journal volume17
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(2002)017<0506:FRDAFT>2.0.CO;2
    journal fristpage506
    journal lastpage525
    treeWeather and Forecasting:;2002:;volume( 017 ):;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
    yabeshDSpacePersian