Assimilation of Precipitation Data to the JMA Mesoscale Model with a Four-dimensional Variational Method and its Impact on Precipitation Forecasts

被引:64
作者
Koizumi, Ko [1 ]
Ishikawa, Yoshihiro [1 ]
Tsuyuki, Tadashi [1 ]
机构
[1] Japan Meteorol Agcy, Numer Predict Div, Chiyoda Ku, Tokyo 1008122, Japan
来源
SOLA | 2005年 / 1卷
关键词
D O I
10.2151/sola.2005-013
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Two sets of forecast-analysis cycle experiments were performed with and without direct assimilation of precipitation amounts using JMA mesoscale four-dimensional variational data assimilation system (Meso4D-Var). With a devised cost function of precipitation observation, which is derived from the exponential distribution, Meso 4D-Var successfully assimilated precipitation data in various weather situations throughout a one-month experiment period. The result of experiments shows that the precipitation assimilation by Meso 4D-Var improves the model forecasts of both weak and moderate precipitation and it ameliorates a spin-up problem of the model precipitation.
引用
收藏
页码:45 / 48
页数:4
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