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
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
收藏
页码:695 / 706
页数:12
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