Examination of the Quality of GOSAT/CAI Cloud Flag Data over Beijing Using Ground-based Cloud Data

被引：0
|
作者：
霍娟 [1 ]
章文星 [1 ]
曾晓夏 [1 ]
吕达仁 [1 ]
刘毅 [1 ]
机构：
[1] Key Laboratory for Atmosphere and Global Environment Observation, Institute of Atmospheric Physics,Chinese Academy of Sciences
来源：
Advances in Atmospheric Sciences | 2013年 / 30卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Greenhouse Gases Observing Satellite; Thermal and Near-infrared Sensor for Carbon Observation-Cloud and Aerosol Imager; all-sky imager; cloud;
D O I：
暂无
中图分类号：
P414.4 [气象卫星];
学科分类号：
0706 ; 070601 ;
摘要：
It has been several years since the Greenhouse Gases Observing Satellite(GOSAT)began to observe the distribution of CO2and CH4over the globe from space.Results from Thermal and Near-infrared Sensor for Carbon Observation-Cloud and Aerosol Imager(TANSO-CAI)cloud screening are necessary for the retrieval of CO2and CH4gas concentrations for GOSAT TANSO-Fourier Transform Spectrometer(FTS)observations.In this study,TANSO-CAI cloud flag data were compared with ground-based cloud data collected by an all-sky imager(ASI)over Beijing from June 2009 to May 2012 to examine the data quality.The results showed that the CAI has an obvious cloudy tendency bias over Beijing,especially in winter.The main reason might be that heavy aerosols in the sky are incorrectly determined as cloudy pixels by the CAI algorithm.Results also showed that the CAI algorithm sometimes neglects some high thin cirrus cloud over this area.
引用
收藏
页码：1526 / 1534
页数：9
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