著者
Koji Terasaki Shunji Kotsuki Takemasa Miyoshi
出版者
Meteorological Society of Japan
雑誌
SOLA (ISSN:13496476)
巻号頁・発行日
pp.2019-009, (Released:2019-01-31)

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.

言及状況

外部データベース (DOI)

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Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System https://t.co/mAtSQIBm1X
J-STAGE Articles - Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System https://t.co/mAtSQIBm1X
J-STAGE Articles - Multi-year analysis using the NICAM-LETKF data assimilation system https://t.co/V1UU8HOEiG

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