A Simulation Experiment of Satellite Data Assimilation Analysis on a Rainstorm in South China Using WRF－VAR Model

Abstract

Abstract:

This paper uses YHGSM 0．25°×0．25°high resolution numerical products data as the background and does experiments for a month(from July 1 to 31，2009)in Chinese region with the WRF mode and WRF data assimilation system．The experiments were divided into 3 groups:no data assimilating，assimilating conventional data and assimilating ATOVS satellite data，then made the situation field tests and gave the TS scores．The results showed that the average error of geopotential height field and temperature field at both high－level and middle－level improved over time in the group 2 and the group 3 compared with that of the group 1 experiment．The specific humidity of the group 3 experiment at middle－level got better results in the early forecast and the improvement at other levels was not obvious．Precipitation forecast comparison shows that the group 3 experiment improved the TS score in the early forecast．

Key words: assimilation, WRF

摘要：

利用YHGSM 0．25°×0．25°高分辨数值产品作为背景场资料，使用WRF模式与WRF－VAR同化系统对中国区域进行连续一个月(2009年7月1～31日)的模拟试验，试验分为3组:(1)不同化任何资料，(2)同化常规资料，(3)同化ATOVS卫星资料;对3组试验进行了形势场检验和TS评分。结果表明，第(2)、(3)组试验与第(1)组试验相比，中高层位势高度场与温度场的平均误差随时间增长有明显的改进;第(3)组试验中层的比湿场在预报前期有较好的效果，其余层次改进不大。降水预报对比表明，第(3)组试验在预报前期对降水评分有所提高。

关键词: 同化, WRF, 模拟分析

CLC Number:

P456．7

ZHANG Hu, BO Xiao-Bin, CAO Chun-Xin, LI Yi. A Simulation Experiment of Satellite Data Assimilation Analysis on a Rainstorm in South China Using WRF－VAR Model[J]. J4, 2011, 29(1): 48-54.

张羽，潘晓滨，曹春新，李毅. 基于WRF－VAR的卫星资料同化分析检验试验[J]. J4, 2011, 29(1): 48-54.

References

［1］Eyre J R，Kelly G A，Mcnally A P，et al．Assimilation of TOVS radiance informational analysis［J］．Quart J R Meteor Soc，1993，119:
1472－1463．
［2］Courtier P E，Anderson，W，Heckley，J，et al，The ECMWF implementation of three dimensionalvariational(3DVAR)data assimi-
lation．PartI:Formulation．Q［J］．J R Meteor，Soc，1998，123:1－26．
［3］Bouttier F，Kelly．Observing－system experiments in the ECMWF 4D－Var data assimilation system［J］．Q J R Meteor Soc，2001，
127:1469－1488．
［4］齐琳琳，孙建华，张小玲，等．ATOVS资料在长江流域一次暴雨过程模拟中的应用［J］．大气科学，2005，29(5):780－794．
［5］闵爱荣，廖移山，王晓芳，等．ATOVS资料的变分同化对一次暴雨过程预报的影响分析［J］．热带气象学报，2009，25(3):314－320．
［6］周毅，刘宇迪，桂祁军，等．现代数值天气预报［M］．北京:气象出版社，2002．176－181．
［7］陈东升，沈桐立，马革兰，等．气象资料同化的研究进展［J］．南京气象学报，2004，27(4):550－564．
［8］冯军，尚学军，樊明，等．陇南地质灾害降雨区划及临界雨量研究［J］．干旱气象，2006，24(4):20－24．
［9］狄潇泓，王小勇，张培燕．西北地区一次罕见的秋季连阴雨特征分析［J］．干旱气象，2009，27(4):358－361．
［10］潘宁，董超华，张文建，等．变分同化及卫星资料同化［J］．气象科技，2001，29(2):29－36．
［11］章国材．美国WRF模式的进展和应用前景［J］．气象，2004，20(12):27－31．
［12］Eugenia Kalnay．大气模式、资料同化和可预报性［M］．北京:气象出版社，2005．
［13］李安泰，何宏让，阳向荣．甘肃东南部一次暴雨天气的数值模拟和螺旋度分析［J］．干旱气象，2010，28(3):309－314．

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