Improving Incremental Balance in the GSI 3DVAR Analysis System

被引：98

作者：

Kleist, Daryl T.

Parrish, David F.

Derber, John C.

Treadon, Russ

Errico, Ronald M.

Yang, Runhua

机构：

[1] Environmental Modeling Center, National Centers for Environmental Prediction, Camp Springs, MD

[2] Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD

[3] Science Applications International Corporation, Camp Springs, MD

[4] Goddard Earth Sciences and Technology Center, University of Maryland Baltimore Country, Baltimore, MD

[5] Science Systems and Applications Incorporated, Lanham, MD

[6] NOAA Science Center 207, Camp Springs, MD 20746-4304

来源：

MONTHLY WEATHER REVIEW | 2009年 / 137卷 / 03期

关键词：

NORMAL MODE INITIALIZATION; DATA-ASSIMILATION SYSTEM; WEAK CONSTRAINT; DIGITAL-FILTER; INTERPOLATION; ADJOINT; IMPACT; 4DVAR;

D O I：

10.1175/2008MWR2623.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

The gridpoint statistical interpolation (GSI) analysis system is a unified global/regional three-dimensional variational data assimilation (3DVAR) analysis code that has been under development for several years at the National Centers for Environmental Prediction (NCEP)/Environmental Modeling Center. It has recently been implemented into operations at NCEP in both the global and North American data assimilation systems (GDAS and NDAS, respectively). An important aspect of this development has been improving the balance of the analysis produced by GSI. The improved balance between variables has been achieved through the inclusion of a tangent-linear normal-mode constraint (TLNMC). The TLNMC method has proven to be very robust and effective. The TLNMC as part of the global GSI system has resulted in substantial improvement in data assimilation at NCEP.

引用

页码：1046 / 1060

页数：15

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