Spatial and temporal distribution of the cloud optical depth over China based on MODIS satellite data during 2003–2016

作     者：Xiaopan Li Huizheng Che Hong Wang Xiang'ao Xia Quanliang Chen Ke Gui Hujia Zhao Linchang An Yu Zheng Tianze Sun Zhizhong Sheng Chao Liu Xiaoye Zhang 

作者机构：Plateau Atmospheric and Environment Laboratory of Sichuan Province College of Atmospheric Science Chengdu University of Information Technology State Key Laboratory of Severe Weather LASW and Institute of Atmospheric Composition Chinese Academy of Meteorological SciencesCMA Laboratory for Middle Atmosphere and Global Environment Observation LAGEO Institute of Atmospheric Physics Chinese Academy of Sciences School of Geoscience University of Chinese Academy of Science School of Surveying and Land Information Engineering Henan Polytechnic University 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2019年第31卷第6期

页      面：66-81页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0713[理学-生态学] 

基　　金：supported by a grant from the National Natural Science Foundation of China (No. 41590874) the National Key R & D Program Pilot Projects of China (No. 2016YFA0601901) the CAMS Basis Research Project (Nos. 2016Z001, 2014R17 & 2017Z011) 

主　　题：Sun photometer MODIS COD Verification 

摘      要：The cloud optical depth(COD) is one of the important parameters used to characterize atmospheric clouds. We analyzed the seasonal variations in the COD over East Asia in 2011 using cloud mode data from the AERONET(Aerosol Robotic Network) ground-based observational network. The applicability of the MODIS(Moderate Resolution Imaging Spectroradiometer) COD product was verified and compared with the AERONET cloud mode dataset. There was a good correlation between the AERONET and the MODIS. The spatial and temporal distribution and trends in the COD over China were then analyzed using MODIS satellite data from 2003 to 2016. The seasonal changes in the AERONET data and the time sequence variation of the satellite data suggest that the seasonal variations in the COD are significant. The result shows that the COD first decreases and then increases with the season in northern China, and reaches the maximum in summer and minimum in ***, the spatial distribution change is just the opposite in southern China. The spatial variation trend shows the COD in China decreases first with time and gradually increases after 2014. And the trend of COD in the western and central China is consistent with that in China. While the trend of COD shows a continuously increasing over time in northeast China and the Pearl River Delta.