A weak-constraint four-dimensional variational analysis system in the stratosphere

被引：11

作者：

Lindskog, Magnus ^{[1
]}

Dee, Dick ^{[1
]}

Tremolet, Yannick ^{[1
]}

Andersson, Erik ^{[1
]}

Radnoti, Gabor ^{[1
]}

Fisher, Mike ^{[1
]}

机构：

[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England

来源：

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY | 2009年 / 135卷 / 640期

关键词：

variational data assimilation; weak-constraint; 4D-Var; stratospheric model error; ECMWF OPERATIONAL IMPLEMENTATION; DATA ASSIMILATION; 4D-VAR; MODEL; BIAS;

D O I：

10.1002/qj.392

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A weak-constraint four-dimensional variational (4D-Var) analysis system designed to correct stratospheric model errors has been evaluated. Verifications against upper-level radiosonde temperature observations and Stratospheric Sounding Unit (SSU) radiance data show that the addition of a weak constraint in the stratosphere call greatly reduce analysis bias. Both single-observation analysis experiments and extended assimilations have been performed to help us understand the impact of the model error covariance specifications required for the weak-constraint formulation. It is found that the use of multivariate balance constraints similar to those implemented in background-error covariances can be problematic. Copyright (C) 2009 Royal Meteorological Society

引用

页码：695 / 706

页数：12

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