Representation of Extreme Weather during a Typhoon Landfall in Regional Meteorological Simulations: A Model Intercomparison Study for Typhoon Songda (2004)

  • Oku Yuichiro
    Disaster Prevention Research Institute, Kyoto University
  • Takemi Tetsuya
    Disaster Prevention Research Institute, Kyoto University
  • Ishikawa Hirohiko
    Disaster Prevention Research Institute, Kyoto University
  • Kanada Sachie
    Advanced Earth Science and Technology Organization, Meteorological Research Institute
  • Nakano Masuo
    Advanced Earth Science and Technology Organization, Meteorological Research Institute

書誌事項

公開日
2010
資源種別
journal article
DOI
  • 10.3178/hrl.4.1
公開者
水文・水資源学会/日本地下水学会/日本水文科学会/陸水物理研究会

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説明

The representations of extreme weather during the landfall of Typhoon Songda (2004) in regional simulations at 1-km resolution are described and compared for two cloud-resolving models: Non-hydrostatic Model (NHM) and the Weather Research and Forecasting model (WRF). Both models, using the same 5-km-mesh outputs from NHM as their initial and boundary conditions, successfully reproduced the observed typhoon track and intensity. The comparison of surface winds indicated that WRF evaluates more enhanced extremes than NHM; on the other hand, the representations of rainfalls indicated that the extremes of hourly and accumulated rainfalls simulated by the two models are evaluated differently. Slight differences in the model topography between the two models, though produced by the same terrain dataset, were shown to significantly affect the representations of the extremes in each model. It should be recognized that not only the differences in model numerics and physics but also slight changes in the reproduction of topography induce differences in the representations of extreme weather.

収録刊行物

  • Hydrological Research Letters

    Hydrological Research Letters 4 1-5, 2010

    水文・水資源学会/日本地下水学会/日本水文科学会/陸水物理研究会

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詳細情報 詳細情報について

  • CRID
    1390282680267199232
  • NII論文ID
    130000248958
  • DOI
    10.3178/hrl.4.1
  • ISSN
    18823416
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用不可

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