Applying the Local Ensemble Transform Kalman Filter to the Nonhydrostatic Icosahedral Atmospheric Model (NICAM)

DOI 機関リポジトリ 機関リポジトリ (HANDLE) Web Site 被引用文献3件 参考文献10件 オープンアクセス
  • Kondo Keiichi
    Graduate School of Life and Environmental Sciences, University of Tsukuba
  • Tanaka H. L.
    Center for Computational Sciences, University of Tsukuba

書誌事項

公開日
2009
資源種別
journal article
DOI
  • 10.2151/sola.2009-031
公開者
公益社団法人 日本気象学会

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説明

In this study, we apply the local ensemble transform Kalman filter (LETKF) to the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) to develop the NICAM-LETKF. In addition, an algorithm to adaptively estimate the inflation parameter and the observational errors is introduced to the LETKF. The feasibility and stability of the NICAM-LETKF are investigated under the perfect model scenario. <br>According to the results, we confirm that the converged analysis errors of the NICAM-LETKF are smaller than the observational errors, and the magnitude and distribution of the root mean square errors (RMSEs) are comparable to those of the ensemble spreads. In our experiments, we find that the inflation parameter is optimally tuned and the observational errors are close to the true value. <br>It is concluded that the NICAM-LETKF works appropriately and stably under the perfect model scenario even if the inflation parameter and the observational errors are adaptively estimated within the LETKF.

収録刊行物

  • SOLA

    SOLA 5 121-124, 2009

    公益社団法人 日本気象学会

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