摘要
基于自主构建的WRF-EnSRF(Weather Research and Forecasting-Ensemble Square-Root Filter)同化系统,同化了ATOVS(Advanced TIROS Operational Vertical Sounder)辐射率资料,以检验该系统同化卫星资料的能力及其在暴雨过程模拟中的效能。对2008年6月6-7日广东地区一次大暴雨过程进行了同化及数值模拟试验,结果表明,同化ATOVS辐射率资料得到的分析场,丰富了对流层高层的大气温度和对流层中低层的大气湿度信息,对风场也有一定的改进。控制试验和同化试验都较好地模拟出了降水的主要落区和发生时段,但控制试验对暴雨、大暴雨的雨区和雨强的模拟效果欠佳;相比而言,同化试验对强降水中心的位置、范围的模拟均有更好的反映,模拟的暴雨强度也与实际降水量级基本一致,同化改进效果明显。
Assimilation of ATOVS （Advanced TIROS Operational Vertical Sounder） microwave radi-ance data is implemented in WRF-EnSRF （Weather Research and Forecasting-Ensemble Square-Root Filter） system to test its capacity of satellite data assimilation and its simulation performance in a rain- storm. The ATOVS data assimilation experiment and the control experiment are performed to simulate a rainstorm process in Guangdong region on 6-7 June 2008. Results show that, assimilating the radiance data ,it can enrich temperature information in the upper troposphere and humidity information in the mid-lower troposphere, and improve initial wind field. Both experiments have well simulated the main rainfall area and period, but the simulations of the rain storm and large rain storm in the control experi-ment are not good enough. In contrast, the assimilation experiment can improve the simulations of loca-tion, intensity and range of the strong precipitation center, which is more accordant with the observed precipitation.
出处
《大气科学学报》
CSCD
北大核心
2012年第3期272-281,共10页
Transactions of Atmospheric Sciences
基金
公益性行业(气象)科研专项(GYHY(QX)200806029)
教育部科技创新工程重大项目培育基金(708051)
江苏高校优势学科建设工程资助项目(PAPD)
关键词
集合均方根滤波
辐射资料同化
数值预报
ensemble square-root filter
radiance data assimilation
numerical forecast
