Improving a cloud microphysics data assimilation technique using cloud top height information estimated from the observation by multi-funcional transport satellite
アイテムタイプ
学術雑誌論文 / Journal Article
言語
日本語
キーワード
データ同化, 衛星観測, 水蒸気, 雲水量, 雲頂高度, data assimilation, satellite observation, water vapor, cloud water content, cloud top height
土木学会論文集B1（水工学）= Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
巻
67
号
4
ページ
I_439 - I_444
発行年
2011-01-01
ISSN
2185-467X
DOI
10.2208/jscejhe.67.I_439
出版者
土木学会 = Japan Society of Civil Engineers
抄録
To improve water vapor and cloud liquid water content in a numerical weather prediction model, Cloud Microphysics Data Assimilation System CMDAS) was developed. CMDAS improves an atmospheric condition by assimilating the brightness temperature data observed by the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E). In the optimization scheme of CMDAS, a number of combinations of integrated water vapor and cloud water content are firstly given and those integrated values are vertically distributed depending on cloud top height (CTH). Using those vertical profiles, CMDAS searches the optimal atmospheric condition through a model operator and an observation operator. In the original CMDAS, a constant value is used as CTH. In this study, a horizontal distribution of CTH estimated from Multi-functional Transport Satellite (MTSAT)observation is applied to CMDAS and the effects of CTH information which is temporally and spatially consistent are examined.
MTSAT観測より推定した雲頂高度情報を用いた雲微物理データ同化手法の高度化
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