云检测在高光谱大气红外探测器
辐射率直接同化中的应用

陈靖; 李刚; 张华; 王根

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DOI:10.7519/j.issn.1000-0526.2011.5.006

气象:2011,37(5):555-563

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云检测在高光谱大气红外探测器 辐射率直接同化中的应用

陈靖^1,2, 李刚¹, 张华³, 王根¹

(1.南京信息工程大学数理学院，南京 210044;2.天津市气象局气象科学研究所，天津 300074;3.国家气象中心，北京 100081)

Application of Cloud Detection to Assimilation of AIRS Radiance Data

CHEN Jing^1,2, LI Gang¹, ZHANG Hua³, WANG Gen¹

(1.College of Mathematics and Physics, Nanjing University of Information Science and Technology, Nanjing 210044;2.Tianjin Institute of Meteorological Sciences, Tianjin Meteorological Service, Tianjin 300074;3.National Meteorological Centre, CMA, Beijing 100081)

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本文已被：浏览 1308次下载 1988次
投稿时间：2010-05-15 修订日期：2010-09-13

中文摘要: 对于高光谱大气红外探测器AIRS（Atmospheric Infrared Sounder）辐射率的同化，云检测技术是关键的一步。本文借鉴Goldberg的云检测的思想，通过AIRS通道和相应微波通道的经验组合来进行云检测，此云检测方案不需要对通道进行偏差订正，并且除背景场海表温度，不依赖于大气的先验信息，是一个快速简单的云检测方案。本文将其原来NESDIS Goldberg的3个云检测步骤改为7个云检测步骤，其中海洋表面4个，陆地表面3个，并选择最优的阈值，然后利用GRAPES 3DVAR (全球/区域同化预报系统)分别对AIRS的海洋和陆地上的视场进行云检测，找出受到云污染的视场，并将其剔除。对2006年6月30日AIRS的视场，分别用NESDIS Goldberg云检测方案和GRAPES Goldberg云检测方案进行云检测，从结果的分析来看，GRAPES Goldberg云检测方案可以更有效地检测出受到云污染的视场，晴空视场占到总视场的10.1%。

中文关键词: AIRS, 云污染, 云检测, GRAPES 3DVar

Abstract:The cloud detection technology is one of the key steps to implement the application of the assimilation of the Atmospheric Infrared Sounder (AIRS). Mitch Goldberg’s cloud detection is a very fast model based on an empirical combination of 3 tests applied to AIRS channel and co registered AMSUA channels. The cloud detection does not need to apply a channel bias correction. Also, it is relatively independent of atmospheric prior information, except for sea surface temperature. According to the Mitch Goldberg’s thought of cloud detection, the original 3 tests of NESDIS Goldberg cloud detection scheme have been improved to 7， 4 in sea surface and 3 in land surface. The improved cloud detection is conducted to AIRS FOV of the land and sea respectively with the use of GRAPES 3DVAR (Global/ Regional Assimilation and Prediction System). There is a cloud, if every single FOV passed the cloud detection scheme. The NESDIS Goldberg cloud detection scheme and GRAPES Goldberg cloud detection scheme are used to detect the 6 scenes of AIRS on 1 July 2006 respectively. The analysis result shows that, the GRAPES Goldberg cloud detection scheme can effectively find out the FOV contaminated by cloud, and the clear FOV accounts for 10.1% of the total FOV.

keywords: AIRS(Atmospheric Infrared Sounder), cloud contamination, cloud detection, GRAPES 3DVar

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基金项目:国家863计划“高光谱大气红外探测器辐射率直接同化的技术研究”（2007AA12Z140）和国家重点基础研究发展计划973“台风登陆前后多源观测资料综合分析理论和方法研究”（2009CB421502）共同资助

作者	单位
陈靖	南京信息工程大学数理学院，南京 210044 天津市气象局气象科学研究所，天津 300074
李刚	南京信息工程大学数理学院，南京 210044
张华	国家气象中心，北京 100081
王根	南京信息工程大学数理学院，南京 210044

Author Name	Affiliation
CHEN Jing	College of Mathematics and Physics, Nanjing University of Information Science and Technology, Nanjing 210044 Tianjin Institute of Meteorological Sciences, Tianjin Meteorological Service, Tianjin 300074
LI Gang	College of Mathematics and Physics, Nanjing University of Information Science and Technology, Nanjing 210044
ZHANG Hua	National Meteorological Centre, CMA, Beijing 100081
WANG Gen	College of Mathematics and Physics, Nanjing University of Information Science and Technology, Nanjing 210044

引用文本：
陈靖,李刚,张华,王根,2011.云检测在高光谱大气红外探测器 辐射率直接同化中的应用[J].气象,37(5):555-563.
CHEN Jing,LI Gang,ZHANG Hua,WANG Gen,2011.Application of Cloud Detection to Assimilation of AIRS Radiance Data[J].Meteor Mon,37(5):555-563.