Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records

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作者：
Wang, Xiaoyi [1 ,2 ]
Corzo, Gerald [3 ]
Lü, Haishen [2 ,4 ]
Zhou, Shiliang [1 ]
Mao, Kangmin [5 ]
Zhu, Yonghua [2 ,4 ]
Duarte, Santiago [3 ,5 ]
Liu, Mingwen [2 ,4 ]
Su, Jianbin [6 ]
机构：
[1] Southwest Research Institute for Hydraulic and Water Transport Engineering, Chongqing Jiaotong University, Chongqing,400074, China
[2] State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, National Cooperative Innovation Center for Water Safety and Hydro-science, College of Hydrology and Water Resources, Hohai University, Nanjing,210098, China
[3] Hydroinformatics Chair Group, IHE Delft Institute for Water Education, Delft,2611AX, Netherlands
[4] Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing,210098, China
[5] Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands
[6] National Tibetan Plateau Data Center, Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
来源：
Agricultural Water Management | 2024年 / 295卷
基金：
中国国家自然科学基金;
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