Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over China's Mainland

作     者：Wenbin Zhu and Mei Cao 

作者机构：Key Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China State Key Laboratory of Plateau Ecology and AgricultureQinghai UniversityXiningPeople’s Republic of China School of Information EngineeringChina University of GeosciencesBeijingPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2023年第16卷第1期

页      面：3513-3535页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0804[工学-仪器科学与技术] 0706[理学-大气科学] 0714[理学-统计学（可授理学、经济学学位）] 081002[工学-信号与信息处理] 0701[理学-数学] 

基　　金：supported by Ministry of Science and Technology of the People’s Republic of China[grant number:2021YFC3000201] National Natural Science Foundation of China[grant number:42071032] Youth Innovation Promotion Association of the Chinese Academy of Sciences[grant number:2020056] 

主　　题：Dew point temperature relative humidity atmospheric profiles MODIS remote sensing 

摘      要：MODIS atmospheric profile products(MOD07_L2 and MYD07_L2)have been widely used for near-surface dew point temperature(T_(d))***,their accuracy over large scale has seldom been *** this study,we validated these two products comprehensively against 2153 stations over China s ***07_L2 was suggested by our study because it achieved higher accuracy in either of two frequently-used *** be specific,the root-meansquare error(RMSE)achieved by MOD07_L2 and MYD07_L2 was 5.82 and 7.42℃,*** this basis,a recent ground-based correction method was modified to further improve their *** focus is to investigate whether this ground-based approach is applicable to large-scale remote sensing *** results show that this new method showed great potential for T_(d) estimation independently from ground *** the introduction of MODIS land surface products,the RMSE it achieved for MOD07_L2 and MYD07_L2 was 5.23 and 5.59℃,*** analysis shows that it was particularly useful in capturing the annual average T_(d) *** R2,RMSE,and bias of annual average daily mean T_(d) estimates were 0.95,1.84℃,and 0.53℃,and those achieved for annual average instantaneous T_(d) estimates were 0.94,2.09℃,and 0.75℃,respectively.