Investigating the ability of deep learning on actual evapotranspiration estimation in the scarcely observed region
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Medicine
Reference66 articles.
1. Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions;Bai;J. Hydrometeorol.,2016
2. Strategies for measuring and modeling carbon dioxide and water vapor fluxes over terrestrial ecosystems;Baldocchi;Global. Change. Biol.,2010
3. Physics-Informed Neural Networks With Monotonicity Constraints for Richardson-Richards Equation: Estimation of Constitutive Relationships and Soil Water Flux Density From Volumetric Water Content Measurements;Bandai;Water. Resour. Res.,2021
4. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE. T. Neural. Networ.,1994
5. Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models;Bennett;Water. Resour. Res.,2021
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