Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China  

作　　者：TAN Sai-Chun ZHANG Xiao WANG Hong CHEN Bin SHI Guang-Yu SHI Chong TAN Sai-Chun;ZHANG Xiao;WANG Hong;CHEN Bin;SHI Guang-Yu;SHI Chong(State Key Laboratory of Numerical Modeling of Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics,Chinese Academy of Sciences;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology;College of Earth Science, University of Chinese Academy of Sciences;State Key Laboratory of Severe Weather/Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, China Meteorological Administration;Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences)

机构地区：[1]State Key Laboratory of Numerical Modeling of Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China [2]Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China [3]College of Earth Science, University of Chinese Academy of Sciences, Beijing, China [4]State Key Laboratory of Severe Weather/Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China [5]Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

出　　处：《Atmospheric and Oceanic Science Letters》2018年第1期86-93,共8页大气和海洋科学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China[grant number 41590874]and[grant number41590875]

摘　　要：Satellite remote sensing is very important to obtain a variety of cloud properties. However, the data quality from satellites varies with different satellite characteristics. From December 2015 to January 2016, ground-based air quality index （AQI） data showed severe haze events occurred successively in eastern China, particularly in the Beijing-Tianjin-Hebei region. During those days, a red alert （the most serious level）, orange alert （the second-highest level）, and yellow alert （the third-highest level） for haze, were issued in Beijing. Cloud detection from four sensors onboard the ＇A-Train＇satellite constellation were compared for two severe haze episodes, on 21 and 30 December 2015 respectively. Results showed that the MODIS sensor onboard the Aqua satellite misclassified aerosol as cloud, while the other three sensors-AIRS onboard Aqua, the cloud profiling radar onboard CloudSat, and CALIOP onboard CALIPSO-did not observe cloud over the same location. Through the high-AQI haze region in the CALIPSO and CloudSat orbit track, MODIS marked cloud close to the surface, while the MODIS true-color image and CALIOP observed an aerosol layer over the same location, suggesting MODIS falsely observed cloud there. Over the haze region in eastern China, MODIS observed 36% on average greater cloud fraction than AIRS, suggesting haze pollution induces a greater MODIS cloud amount.云在天气、气候和地球能量平衡中非常重要。雾霾地区不同卫星云探测精度如何的研究较少。本论文详细比较了中国东部地区2015–2016年冬季2次严重雾霾天气时,"A-Train"星群上四个遥感器的云探测。结果显示,在雾霾区域,MODIS/Aqua真彩色图和CALIOP/CALIPSO清楚地观测到气溶胶层时,AIRS/Aqua、CALIOP和CPR/CloudSat没有观测到云,而MODIS则观测到云顶高度接近地面的云,表明MODIS将气溶胶误判为云。更多雾霾天气个例结果显示,在雾霾区域,MODIS云量比AIRS云量高13%–49%,平均高36%.

关 键 词：Cloud detection aerosol HAZE MODIS AIRS CLOUDSAT CALIPSO 

分 类 号：P412.27[天文地球—大气科学及气象学] X513[环境科学与工程—环境工程]