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    Evaluation of a Tropical Cyclone Bogusing Method in Data Assimilation and Forecasting

    Source: Monthly Weather Review:;1994:;volume( 122 ):;issue: 007::page 1523
    Author:
    Serrano, Encarnación
    ,
    Undén, Per
    DOI: 10.1175/1520-0493(1994)122<1523:EOATCB>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A method for introducing bogus observations in the analysis of tropical cyclones has been tested for a period in 1991. The impacts have been evaluated for analyses, first-guess forecasts during data assimilation, and medium-range forecasts. In almost all cases, the inclusion of bogus data leads to a clear improvement in both the position of the cyclone center and the intensity and structure of the associated vortex. The intensity is generally improved in the forecasts and the track errors are reduced in the short-range forecasts. However, medium-range forecasts show a mainly unfavorable impact of this bogusing method in terms of predicted cyclone tracks for the cases investigated.
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      Evaluation of a Tropical Cyclone Bogusing Method in Data Assimilation and Forecasting

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4203300
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    contributor authorSerrano, Encarnación
    contributor authorUndén, Per
    date accessioned2017-06-09T16:09:58Z
    date available2017-06-09T16:09:58Z
    date copyright1994/07/01
    date issued1994
    identifier issn0027-0644
    identifier otherams-62411.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203300
    description abstractA method for introducing bogus observations in the analysis of tropical cyclones has been tested for a period in 1991. The impacts have been evaluated for analyses, first-guess forecasts during data assimilation, and medium-range forecasts. In almost all cases, the inclusion of bogus data leads to a clear improvement in both the position of the cyclone center and the intensity and structure of the associated vortex. The intensity is generally improved in the forecasts and the track errors are reduced in the short-range forecasts. However, medium-range forecasts show a mainly unfavorable impact of this bogusing method in terms of predicted cyclone tracks for the cases investigated.
    publisherAmerican Meteorological Society
    titleEvaluation of a Tropical Cyclone Bogusing Method in Data Assimilation and Forecasting
    typeJournal Paper
    journal volume122
    journal issue7
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1994)122<1523:EOATCB>2.0.CO;2
    journal fristpage1523
    journal lastpage1547
    treeMonthly Weather Review:;1994:;volume( 122 ):;issue: 007
    contenttypeFulltext
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