The ECMWF implementation of three-dimensional variational assimilation (3D-Var). III: Experimental results

被引:73
作者
Andersson, E
Haseler, J
Unden, P
Courtier, P
Kelly, G
Vasiljevic, D
Brankovic, C
Cardinali, C
Gaffard, C
Hollingsworth, A
Jakob, C
Janssen, P
Klinker, E
Lanzinger, A
Miller, M
Rabier, F
Simmons, A
Strauss, B
Thepaut, JN
Viterbo, P
机构
[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[2] Ctr Natl Rech Meteorol, Toulouse, France
关键词
data assimilation; numerical weather prediction; objective analysis;
D O I
10.1002/qj.49712455004
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this third and final paper of a series, we assess the performance of the three-dimensional variational data assimilation scheme, in the light of the results from the extensive pre-operational programme of numerical experimentation. Its performance is compared with that of the previous operational scheme at the European Centre for Medium-Range Weather Forecasts, which was based on Optimal Interpolation. The main features of the new scheme are illustrated in particular the effects of non-separable structure functions and the improved data usage. TIROS-N Operational Vertical Sounder cloud-cleared radiances, for example, are used directly without a separate retrieval step. Scatterometer data are assimilated in the form of ambiguous winds with the ambiguity removal taking place within the analysis itself. problems encountered during the tests are discussed and the solutions implemented are explained. The overall impact on forecast accuracy in the troposphere of the northern hemisphere extratropics is neutral for geopotential and positive for wind and temperature. The impact is neutral in the tropics, and significantly positive in the southern hemisphere. Analyses and forecasts for the stratosphere have improved in all regions. Other positive results include a clear improvement in analyses of near-surface winds over oceans, particularly in the vicinity of tropical storms. This is predominantly because of the assimilation of scatterometer wind-data.
引用
收藏
页码:1831 / 1860
页数:30
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