日本地球惑星科学連合2022年大会

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG38] 衛星による地球環境観測

2022年5月23日(月) 09:00 〜 10:30 104 (幕張メッセ国際会議場)

コンビーナ:沖 理子(宇宙航空研究開発機構)、コンビーナ:本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所)、コンビーナ:松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、座長:岡本 幸三(気象研究所)

09:00 〜 09:15

[ACG38-01] 静止気象衛星の全天候輝度温度同化開発

*岡本 幸三1石橋 俊之1、岡部 いづみ1、林 昌宏1 (1.気象研究所)

キーワード:衛星データ同化、静止衛星、全天候同化

Infrared all-sky radiance (ASR) assimilation has been developed for Himawari-8 in the global data assimilation system of JMA. Compared to clear-sky radiance (CSR) assimilation currently implemented, this development is expected to enhance the observation coverage and extract more observation information in meteorologically sensitive regions, and then improve analysis and forecasts. There are many challenges in the development of infrared ASR assimilation including poor representation in radiative transfer model (RTM) and forecast model in cloud scenes, strong situation-dependency of observation statistics, and high non-Gaussianity and non-linearity. We developed cloud-dependent quality control, bias correction, and observation error models to address these challenges in addition to using the state-of-art RTM (RTTOV ver13). We recently accounted for cloud-dependent inter-band observation error correlation that rapidly increases with the cloud effect.
Data assimilation cycle experiments suggested the ASR assimilation of water vapor bands of Himawari-8 improved short-range forecasts of upper- and middle tropospheric water vapor and temperature. However, as of writing this abstract, the improvement does not stay beyond the forecast at day 2 and three is some degradation in wind forecasts. The latest development and results will be presented.