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doi:  10.12013/qxyjzyj2018-002
集合变分混合方法同化FY 3A卫星微波资料时混合系数选择的试验

Test of Mixing Coefficient Choice for FY 3A Satellite Microwave Data Assimilation by Using Hybrid Variation Method
摘要点击 98  全文点击 74  投稿时间:2017-10-13  修订日期:2017-02-21
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基金:  国家自然科学基金项目(编号:41375063).
中文关键词:  Hybrid同化方法,FY-3A卫星微波资料,混合系数,SAL定量评估
英文关键词:  Hybrid assimilation method  FY-3A satellite microwave data  mixed coefficient  SAL quantitative verification method
        
作者中文名作者英文名单位
谢宾鹏Xie Binpeng国防科学技术大学 气象海洋学院
张立凤Zhang Lifeng解放军94783部队
杨雨轩Yang Yuxuan解放军66199部队
引用:谢宾鹏,张立凤,杨雨轩.2018,集合变分混合方法同化FY 3A卫星微波资料时混合系数选择的试验[J].气象与减灾研究,41(1):7-17
中文摘要:
      基于FY-3A卫星微波资料,利用Hybrid方法对2012年7月21日北京地区强降水过程进行同化模拟试验,并分析了混合系数在同化中的应用。通过单点试验发现,传统3DVar同化方法的背景误差协方差是静态的,其同化增量总是表现为以观测单点位置为中心呈均匀、各向同性分布,且与同化单点的位置有关。而集合变分同化的背景误差协方差是由集合预报结果构造的集合协方差,其单点观测试验同化增量集中在此次降水区域周围,依赖于环流形势的分布,其分布与观测单点的位置无关。通过实际个例的同化试验发现,混合系数取05的模拟效果最好,其次为01,混合系数取1的试验模拟效果最差。
Abstract:
      Based on FY-3A satellite microwave data, an assimilation simulation test was presented for the “7·21” extreme precipitation event occurred in Beijing in 2012 by using Hybrid method, and the application of the mixing coefficient in assimilation was analyzed. According to the single point test, the background error covariance of the traditional 3DVar assimilation method was found to be static, and its assimilation increment always presented as a uniform and isotropic distribution centered on the observed single point position, which was related to the position of the assimilation single point. The background error covariance of the ensemble based variation assimilation was the ensemble covariance consisted of ensemble forecast results. The assimilation increment of the single point observation experiment was concentrated around the precipitation area and depended on the distribution of the circulation flow, which had no relation with the location of the observation single point. Based on the assimilation tests of actual cases, the simulation effect with the mixing coefficient of 05 was found to be the best, followed by 01, and the test simulation effect with the mixing coefficient of 1 was the worst.
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