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A Multimodal Machine Learning Fused Global 0.1° Daily Evapotranspiration Dataset from 1950-2022
Qingchen Xu, Lu Li, Zhongwang Wei, Xuhui Lee, Yongjiu Dai
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Yale University
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物理Plant Water Relations and Carbon Dynamics
Hydrology and Watershed Management Studies · Climate variability and models
参考文献 94
Using Bayesian model averaging to estimate terrestrial evapotranspiration in China
被引 89Yang Chen, Wenping Yuan, Jiangzhou Xia · Journal of Hydrology · 2015
Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends
被引 161Jiafu Mao, Wenting Fu, Xiaoying Shi · Environmental Research Letters · 2015
Toward reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation
被引 171Mark A. Parrish, Hamid Moradkhani, C. M. DeChant · Water Resources Research · 2012
此处列出前 3 条
引用本文 1
A review of feature selection methods for actual evapotranspiration prediction
被引 19Chalachew Muluken Liyew, Stefano Ferraris, Elvira Di Nardo · Artificial Intelligence Review · 2025
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