Downscaling daily climate data with super-resolution and CMIP6 global climate models to predict the climate in ChinaOA
Downscaling daily climate data with super-resolution and CMIP6 global climate models to predict the climate in China
Fu-Yao ZHANG;Yun-Xi LIU;Xiu-Bin LI;Xue WANG;Ming-Hong TAN;Liang-Jie XIN
Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China||College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,ChinaKey Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China||College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,ChinaKey Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China||College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,ChinaKey Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,ChinaKey Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China||College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,ChinaKey Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
CMIP6Super-resolution modelsDownscalingDeep learning
CMIP6Super-resolution modelsDownscalingDeep learning
《气候变化研究进展（英文版）》 2026 (1)
79-90,12
This study was funded by the National Natural Science Foundation of China(W2412128,42171264 and 42361144881)and the Zhejiang Provincial Natural Science Foundation of China(LZ22G030007).
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