A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data:Sensitivity AnalysisOACSCDCSTPCD
A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data:Sensitivity Analysis
Bin BAI;Chunxiang SHI;Ling YANG;Lingling GE;Luhui YUE;Guangyu LIU
College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225||Key Laboratory of Atmospheric Sounding of China Meteorological Administration,Chengdu 610225National Meteorological Information Centre,China Meteorological Administration,Beijing 100081College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225||Key Laboratory of Atmospheric Sounding of China Meteorological Administration,Chengdu 610225National Meteorological Information Centre,China Meteorological Administration,Beijing 100081School of Computer and Software,Nanjing University of Information Science & Technology,Nanjing 210044School of Computer and Software,Nanjing University of Information Science & Technology,Nanjing 210044
relative humiditystatistical downscalinggenerative adversarial network(GAN)temperature
relative humiditystatistical downscalinggenerative adversarial network(GAN)temperature
《气象学报（英文版）》 2023 (6)
878-895,18
Supported by the National Natural Science Foundation of China(92037000)and National Key Research and Development Program of China(2018YFC1506601 and NMICJY202106).
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