干旱区科学2025，Vol.17Issue(11)：1623-1648,26.DOI:10.1007/s40333-025-0112-9
A hybrid ConvLSTM-Nudging model for predicting surface soil moisture in the Qilian Mountains,China
A hybrid ConvLSTM-Nudging model for predicting surface soil moisture in the Qilian Mountains,China
摘要
关键词
data assimilation/surface soil moisture/deep neural networks/Convolutional Long Short-Term Memory(ConvLSTM)/Squeeze-and-Excitation(SE)attention mechanism/Nudging/long-term predictionKey words
data assimilation/surface soil moisture/deep neural networks/Convolutional Long Short-Term Memory(ConvLSTM)/Squeeze-and-Excitation(SE)attention mechanism/Nudging/long-term prediction引用本文复制引用
FAN Manhong,XIAO Qian,YU Qinghe,ZHAO Junhao..A hybrid ConvLSTM-Nudging model for predicting surface soil moisture in the Qilian Mountains,China[J].干旱区科学,2025,17(11):1623-1648,26.基金项目
This research was funded by the National Natural Science Foundation of China(42461053),the Department of Education of Gansu Province:Higher Education Innovation Fund Project(2023B-064),the Youth Doctoral Fund Project(2024QB-014),and the Natural Science Foundation of Gansu Province(25JRRA012). （42461053）
