流依赖球面小波背景误差协方差模型设计和初步试验

被引:4
作者
张卫民 [1 ]
刘柏年 [1 ,2 ]
曹小群 [1 ]
赵延来 [1 ]
朱孟斌 [1 ]
赵文静 [1 ]
机构
[1] 国防科学技术大学海洋科学与工程研究院
[2] 国防科学技术大学计算机学院
关键词
数值天气预报; 变分资料同化; 背景误差协方差模型; 球面小波;
D O I
暂无
中图分类号
P456.7 [数值预报方法];
学科分类号
0706 ; 070601 ;
摘要
基于资料同化集合设计了流依赖球面小波背景场误差协方差模型中背景误差方差和局地垂直相关协方差的统计计算方法。为了提高背景误差方差的估计精度,采用客观滤波技术来减少因集合样本个数不足而引入的随机取样噪声。最后在银河四维变分同化业务系统(YH4DVar)上设计了集合资料同化的试验系统,以流依赖背景误差方差为重点验证了模型的有效性。结果表明:基于流依赖球面小波背景误差协方差模型能够有效估计出随天气状态变化的背景场误差方差,对台风等剧烈变化的天气过程的同化分析和预报都具有一定的正效果。
引用
收藏
页码:410 / 420
页数:11
相关论文
共 19 条
[1]   On the use of EDA background error variances in the ECMWF 4D-Var [J].
Bonavita, Massimo ;
Isaksen, Lars ;
Holm, Elias .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2012, 138 (667) :1540-1559
[2]   Filtering of Background Error Variances and Correlations by Local Spatial Averaging: A Review [J].
Berre, Loik ;
Desroziers, Gerald .
MONTHLY WEATHER REVIEW, 2010, 138 (10) :3693-3720
[3]   An ensemble-based four-dimensional variational data assimilation scheme. Part I: Technical formulation and preliminary test [J].
Liu, Chengsi ;
Xiao, Qingnong ;
Wang, Bin .
MONTHLY WEATHER REVIEW, 2008, 136 (09) :3363-3373
[4]   Background-error correlation length-scale estimates and their sampling statistics [J].
Pannekoucke, O. ;
Berre, L. ;
Desroziers, G. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2008, 134 (631) :497-508
[5]   Spectral and spatial localization of background-error correlations for data assimilation [J].
Buehner, Mark ;
Charron, Martin .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (624) :615-630
[6]   The potential of the ensemble Kalman filter for NWP - a comparison with 4D-Var [J].
Lorenc, AC .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2003, 129 (595) :3183-3203
[7]   Correlation modelling on the sphere using a generalized diffusion equation [J].
Weaver, A ;
Courtier, P .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2001, 127 (575) :1815-1846
[8]  
Extended assimilation and forecast experiments with a four‐dimensional variational assimilation system.[J].FlorenceRabier;Jean‐NoelThépaut;PhilippeCourtier.Q.J.R. Meteorol. Soc..2006, 550
[9]   Four-dimensional data assimilation method based on SVD: Theoretical aspect [J].
Qiu, C ;
Chou, J .
THEORETICAL AND APPLIED CLIMATOLOGY, 2006, 83 (1-4) :51-57
[10]  
A reformulation of the background error covariance in the ECMWF global data assimilation system.[J].J.DERBER;F.BOUTTIER.Tellus A.2002, 2