首页|期刊导航|Atmospheric and Oceanic Science Letters|A generative adversarial network-based unified model integrating bias correction and downscaling for global SST
Atmospheric and Oceanic Science Letters2024，Vol.17Issue(1)：P.45-52,8.DOI:10.1016/j.aosl.2023.100407
A generative adversarial network-based unified model integrating bias correction and downscaling for global SST
摘要
关键词
偏差订正/降尺度/海表面温度/生成对抗网络/物理引导的神经网络分类
海洋科学引用本文复制引用
Shijin Yuan,Xin Feng,Bin Mu,Bo Qin,Xin Wang,Yuxuan Chen..A generative adversarial network-based unified model integrating bias correction and downscaling for global SST[J].Atmospheric and Oceanic Science Letters,2024,17(1):P.45-52,8.基金项目
supported by the National Key Research and Development Program of China[grant number 2020YFA0608000] （）
the National Natural Science Foundation of China[grant number 42075141] （）
the Meteorological Joint Funds of the National Natural Science Foundation of China[grant number U2142211] （）
the Key Project Fund of the Shanghai 2020“Science and Technology Innovation Action Plan”for Social Development[grant number 20dz1200702] （）
the first batch of Model Interdisciplinary Joint Research Projects of Tongji University in 2021[grant number YB-21-202110]. （）
