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卫星云图资料同化中的质量控制及其在暴雨预报中的应用
A Study on Quality Control of Data Assimilation of Satellite Cloud Image and Its Application in Rainstorm Forecast
【摘要】 以1996年7月3~4日发生在江淮流域的暴雨过程为例,依据统计特征分别以常规分析场、正涡度高值区、高低空急流为标准,设计了三套方案对卫星反演湿度场进行质量控制。利用中尺度MM5模式进行的数值试验表明:经质量控制后预报场得到较大改善;质量控制方案的优劣对预报效果有直接影响,选择合理的控制标准是重要的。
【Abstract】 Taking the rainstorm process of 3~4 July, 1996 in YangtzeHuaihe river basin as an example, three schemes are developed to control the quality of satellite retrieved humidity, based on conventional analysis data, the field of positive vorticity and highlow level jet,respectively The numerical simulation by the MM5 model shows that the simulation accuracy is improved greatly under quality control and the quality control is critical to the forecast effect It is important to select the rational scheme of quality control
【关键词】 卫星云图资料同化;
质量控制;
数值试验;
暴雨预报;
【Key words】 data assimilation of satellite cloud image; quality control; numerical experiment; rainstorm forecast;
【Key words】 data assimilation of satellite cloud image; quality control; numerical experiment; rainstorm forecast;
【基金】 国家重点基础发展规划项目(G1998040910);国家自然科学基金项目(40075023,40175007)资助
- 【文献出处】 灾害学 ,Journal of Catastrophology , 编辑部邮箱 ,2003年01期
- 【分类号】P457
- 【被引频次】12
- 【下载频次】233