気象モデルにおける4次元データ同化およびネスティングが高潮推算精度に及ぼす影響に関する研究 Effectiveness of 4-Dimensional Data Assimilation and Nesting in an Atmospheric Model on Accuracy of Storm Surge Predictions

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Author(s)

Abstract

The present study examines the prediction accuracy effects of 4-dimensional data assimilation (nudging) and nesting schemes of the Weather Research and Forecasting model (WRF) on the storm surges. Applying both nudging and nesting in the WRF simulation enabled us to predict successfully not only the barometric depression and increase of wind speed around a typhoon route, but also the meteorological field of surrounded area. It has been found that the use of WRF outputs applying both with nudging and nesting would give accurate predicting power for both maximum level and phase of tidal elevation in the storm surge simulations.

Journal

  • Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 65(1), 381-385, 2009

    Japan Society of Civil Engineers

Codes

  • NII Article ID (NAID)
    130004956309
  • NII NACSIS-CAT ID (NCID)
    AN10369955
  • Text Lang
    ENG
  • ISSN
    1884-2399
  • NDL Article ID
    11236410
  • NDL Source Classification
    ZN1(科学技術--建設工学・建設業)
  • NDL Call No.
    Z43-1894
  • Data Source
    NDL  J-STAGE 
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