J4 ›› 2011, Vol. 29 ›› Issue (1): 48-54.

• 论文 • 上一篇    下一篇

基于WRF-VAR的卫星资料同化分析检验试验

张羽1潘晓滨1曹春新2李毅1
  

  1. 1.解放军理工大学,江苏南京211101; 2.94608部队气象台,江苏南京210022.
  • 收稿日期:2010-09-17 修回日期:2010-12-04 出版日期:2011-03-31 发布日期:2011-03-31
  • 作者简介:张羽(1983-),男,硕士研究生,目前从事卫星资料同化与数值预报方面的研究工作.E-mail:zhyu1983@163.com

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

ZHANG Yu1,PAN Xiaobin1,CAO Chunxin2LI Yi1   

  1. 1.PLA University of Science and Technology,Nanjing 211101,China;
    2.Meteorology Observatory of 94608 Army,Nanjing 210022,China.
  • Received:2010-09-17 Revised:2010-12-04 Online:2011-03-31 Published:2011-03-31

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

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

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