Four-dimensional variational data assimilation for a limited area model

被引：22

作者：

Gustafsson, Nils ^{[1
,2
]}

Huang, Xiang-Yu ^{[3
,4
]}

Yang, Xiaohua ^{[3
]}

Mogensen, Kristian ^{[3
,5
]}

Lindskog, Magnus ^{[1
]}

Vignes, Ole ^{[2
]}

Wilhelmsson, Tomas ^{[1
,5
]}

Thorsteinsson, Sigurdur ^{[6
]}

机构：

[1] Swedish Meteorol & Hydrol Inst, SE-60176 Norrkoping, Sweden

[2] Norwegian Meteorol Inst, NO-0313 Oslo, Norway

[3] Danish Meteorol Inst, DK-2100 Copenhagen O, Denmark

[4] Natl Ctr Atmospher Res, Boulder, CO 80307 USA

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

[6] Iceland Meteorol Off, IS-150 Reykjavik, Iceland

来源：

TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY | 2012年 / 64卷

关键词：

data assimilation; analysis; numerical weather prediction; INCREMENTAL APPROACH; BOUNDARY-CONDITIONS; DIGITAL-FILTER; HIRLAM; 4D-VAR; SYSTEM; SCHEME; PARAMETERIZATION; INTERPOLATION; FORMULATION;

D O I：

10.3402/tellusa.v64i0.14985

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A 4-dimensional variational data assimilation (4D-Var) scheme for the HIgh Resolution Limited Area Model (HIRLAM) forecasting system is described in this article. The innovative approaches to the multi-incremental formulation, the weak digital filter constraint and the semi-Lagrangian time integration are highlighted with some details. The implicit dynamical structure functions are discussed using single observation experiments, and the sensitivity to various parameters of the 4D-Var formulation is illustrated. To assess the meteorological impact of HIRLAM 4D-Var, data assimilation experiments for five periods of 1 month each were performed, using HIRLAM 3D-Var as a reference. It is shown that the HIRLAM 4D-Var consistently out-performs the HIRLAM 3D-Var, in particular for cases with strong mesoscale storm developments. The computational performance of the HIRLAM 4D-Var is also discussed.

引用

页数：29

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