Forming proper ensemble forecast initial members with four-dimensional variational data assimilation method

被引：0
|
作者：
GONG Jiandong
2. National Climate Centrer
机构：
来源：
Science Bulletin | 1999年 / 16期
关键词：
ensemble forecast; initial member generating; four-dimensional variational data assimilation method; numeri-cal forecast experiments;
D O I：
暂无
中图分类号：
P456.7 [数值预报方法];
学科分类号：
0706 ; 070601 ;
摘要：
A method has been presented to improve ensemble forecast by utilizing these initial members generated by four-dimensional variational data assimilation (4-D VDA), to conquer limitation of those initial members generated by Monte Carlo forecast (MCF) or lagged average forecast (LAF). This method possesses significant statistical characteristic of MCF, and by virtue of LAF that contains multi-time information and its initial members are harmonic with the
引用
收藏
页码：1527 / 1531
页数：5
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