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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

气象学报（英文版）2023，Vol.37Issue(6)：878-895,18.

气象学报（英文版）2023，Vol.37Issue(6)：878-895,18.DOI:10.1007/s13351-023-2098-6

A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data:Sensitivity Analysis

Bin BAI ¹Chunxiang SHI ²Ling YANG ¹Lingling GE ²Luhui YUE ³Guangyu LIU³

作者信息

1. College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225||Key Laboratory of Atmospheric Sounding of China Meteorological Administration,Chengdu 610225
2. National Meteorological Information Centre,China Meteorological Administration,Beijing 100081
3. School of Computer and Software,Nanjing University of Information Science & Technology,Nanjing 210044
折叠

摘要

关键词

relative humidity/statistical downscaling/generative adversarial network(GAN)/temperature

Key words

relative humidity/statistical downscaling/generative adversarial network(GAN)/temperature

引用本文复制引用

Bin BAI,Chunxiang SHI,Ling YANG,Lingling GE,Luhui YUE,Guangyu LIU..A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data:Sensitivity Analysis[J].气象学报（英文版）,2023,37(6):878-895,18.

基金项目

Supported by the National Natural Science Foundation of China(92037000)and National Key Research and Development Program of China(2018YFC1506601 and NMICJY202106). （92037000）

气象学报（英文版）

OACSCDCSTPCD

ISSN：0894-0525

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