Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System

DOI Web Site 被引用文献8件 参考文献26件 オープンアクセス
  • Terasaki Koji
    RIKEN Center for Computational Science
  • Kotsuki Shunji
    RIKEN Center for Computational Science RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program
  • Miyoshi Takemasa
    RIKEN Center for Computational Science RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program Prediction Science Laboratory, RIKEN Cluster for Pioneering Research University of Maryland, College Park Japan Agency for Marine–Earth Science and Technology

書誌事項

公開日
2019
資源種別
journal article
DOI
  • 10.2151/sola.2019-009
公開者
公益社団法人 日本気象学会

説明

<p>This study investigates the long-term stability of the global atmospheric data assimilation system, incorporating the Local Ensemble Transform Kalman Filter (LETKF) with the Nonhydrostatic ICosahedral Atmospheric Model (NICAM). The NICAM-LETKF system assimilates conventional observations, advanced microwave sounding unit–A (AMSU-A) radiances, and global satellite mapping of precipitation (GSMaP) data. The long-term stability of the data assimilation system can be investigated only by running an expensive long-term experiment. This study successfully performed a data assimilation experiment with more than 2 years of data, using the relaxation to prior spread (RTPS) method for covariance inflation. Analysis fields indicate a stable physical performance compared with the ERA-interim data for the entire experimental period.</p>

収録刊行物

  • SOLA

    SOLA 15 (0), 41-46, 2019

    公益社団法人 日本気象学会

被引用文献 (8)*注記

もっと見る

参考文献 (26)*注記

もっと見る

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ