Using an adjoint model to improve an optimum interpolation-based data-assimilation system

被引：9

作者：

Huang, XY

Gustafsson, N

Kallen, ER

机构：

来源：

TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY | 1997年 / 49卷 / 02期

关键词：

D O I：

10.1034/j.1600-0870.1997.t01-1-00001.x

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A highly simplified 4-dimensional variational data assimilation (4DVAR) system is formulated aiming at an early operational implementation on current supercomputers. The system is a hybrid system based on both an intermittent data assimilation, including an Optimal Interpolation (OI) analysis scheme, and a 4DVAR setup. The idea is to use the adjoint model to produce an improved first-guess for the OI scheme. A 5-day data assimilation is chosen to demonstrate the applicability of our method. It is shown that the analysis increments are reduced and the forecast of a rapid cyclone development is improved.

引用

页码：161 / 176

页数：16

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