On the Assimilation of Satellite Sounder Data in Cloudy Skies in Numerical Weather Prediction Models

被引：2

作者：

李俊 ^{[1
]}

王培 ^{[1
,2
]}

HAN Hyojin ^{[1
]}

李金龙 ^{[1
]}

郑婧 ^{[3
]}

机构：

[1] Cooperative Institute for Meteorological Satellite Studies,University of Wisconsin-Madison

[2] Department of Atmospheric & Oceanic Sciences,University of Wisconsin-Madison

[3] National Satellite Meteorological Center,China Meteorological Administration

来源：

Journal of Meteorological Research | 2016年 / 30卷 / 02期

关键词：

satellite sounder; data assimilation; cloudy region;

D O I：

暂无

中图分类号：

P456.7 [数值预报方法];

学科分类号：

0706 ; 070601 ;

摘要：

Satellite measurements are an important source of global observations in support of numerical weather prediction(NWP).The assimilation of satellite radiances under clear skies has greatly improved NWP forecast scores.However,the application of radiances in cloudy skies remains a significant challenge.In order to better assimilate radiances in cloudy skies,it is very important to detect any clear field-of-view(FOV) accurately and assimilate cloudy radiances appropriately.Research progress on both clear FOV detection methodologies and cloudy radiance assimilation techniques are reviewed in this paper.Overview on approaches being implemented in the operational centers and studied by the satellite data assimilation research community is presented.Challenges and future directions for satellite sounder radiance assimilation in cloudy skies in NWP models are also discussed.

引用

页码：169 / 182

页数：14

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