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

页码：45 / 48

页数：4