Properties and first application of an error-statistics tuning method in variational assimilation

被引:59
作者
Chapnik, B
Desroziers, G
Rabier, F
Talagrand, O
机构
[1] OBS, GMAP, CNRM, Meteo France, F-31057 Toulouse, France
[2] CNRS, Meteorol Dynam Lab, Paris, France
关键词
data assimilation; parameter estimation; satellite observations;
D O I
10.1256/qj.03.26
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The method for tuning observational or background error statistics is presented and some of its properties are exposed using theoretical considerations and experiments carried out in a simplified framework. In particular, the method is shown to be equivalent to a maximum-likelihood evaluation and its efficiency is seen to depend on the number of observations. The results of several experiments carried out with the variational assimilation system of the French numerical weather-prediction system ARPEGE, both with simulated and actual datasets involving satellite radiances, are also presented. The temporal stability of the results and their consistency with the known quality of the measurements are shown.
引用
收藏
页码:2253 / 2275
页数:23
相关论文
共 15 条
[1]   A STRATEGY FOR OPERATIONAL IMPLEMENTATION OF 4D-VAR, USING AN INCREMENTAL APPROACH [J].
COURTIER, P ;
THEPAUT, JN ;
HOLLINGSWORTH, A .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 1994, 120 (519) :1367-1387
[2]  
COURTIER P, 1991, P ECMWF WORKSH NUM M, V2, P193
[3]  
Dee DP, 1999, MON WEATHER REV, V127, P1822, DOI 10.1175/1520-0493(1999)127<1822:MLEOFA>2.0.CO
[4]  
2
[5]   A 4D-Var re-analysis of FASTEX [J].
Desroziers, G ;
Hello, G ;
Thépaut, JN .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2003, 129 (589) :1301-1315
[6]   Diagnosis and adaptive tuning of observation-error parameters in a variational assimilation [J].
Desroziers, G ;
Ivanov, S .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2001, 127 (574) :1433-1452
[7]  
GIRARD D, 1987, 687M IMAG GREN FRANC
[8]  
HOLLINGSWORTH A, 1986, TELLUS A, V38, P111, DOI 10.1111/j.1600-0870.1986.tb00460.x
[9]   Unified notation for data assimilation: Operational, sequential and variational [J].
Ide, K ;
Courtier, P ;
Ghil, M ;
Lorenc, AC .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1997, 75 (1B) :181-189
[10]   The potential of high-density observations for numerical weather prediction: A study with simulated observations [J].
Liu, ZQ ;
Rabier, F .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2003, 129 (594) :3013-3035