Conditional Generative Adversarial Networks Enhance Atmospheric Thermodynamic Profile Retrieval from Ground-Based Microwave Radiometer Measurements
Disong FU Yunjie XIA Maoling AYITIKAN Kai CHENG Ling ZHAO Xia LI Jingmiao ZHU Dazhi YANG Ruiting LIU Hongrong SHI Guangyu GAO Xinlei HAN Xiang'ao XIA
气象学报(英文版)2025,Vol.39Issue(5):1167-1184,18.
气象学报(英文版)2025,Vol.39Issue(5):1167-1184,18.DOI:10.1007/s13351-025-5017-1
Conditional Generative Adversarial Networks Enhance Atmospheric Thermodynamic Profile Retrieval from Ground-Based Microwave Radiometer Measurements
Conditional Generative Adversarial Networks Enhance Atmospheric Thermodynamic Profile Retrieval from Ground-Based Microwave Radiometer Measurements
摘要
关键词
generative adversarial network/temperature/humidity/microwave radiometer/optimal estimationKey words
generative adversarial network/temperature/humidity/microwave radiometer/optimal estimation引用本文复制引用
Disong FU,Yunjie XIA,Maoling AYITIKAN,Kai CHENG,Ling ZHAO,Xia LI,Jingmiao ZHU,Dazhi YANG,Ruiting LIU,Hongrong SHI,Guangyu GAO,Xinlei HAN,Xiang'ao XIA..Conditional Generative Adversarial Networks Enhance Atmospheric Thermodynamic Profile Retrieval from Ground-Based Microwave Radiometer Measurements[J].气象学报(英文版),2025,39(5):1167-1184,18.基金项目
Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0760402),Open Funding of the Key Laboratory of Urban Meteorology of China Meteorological Administration(LUM-2024-06),National Natural Science of Foundation of China(42075079,42105128,42275091,and 12271129),National Key Research and Development Program of China(2024YFC3713501 and 2023YFF0714804). (XDB0760402)