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Xiaolong Hu
Xiaolong Hu
Wuhan University, School of Water Resources and Hydropower Engineering
Verified email at whu.edu.cn
Title
Cited by
Cited by
Year
Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation
X Hu, L Shi, G Lin, L Lin
Journal of Hydrology 601, 126592, 2021
572021
Estimation of actual irrigation amount and its impact on groundwater depletion: A case study in the Hebei Plain, China
X Hu, L Shi, J Zeng, J Yang, Y Zha, Y Yao, G Cao
Journal of hydrology 543, 433-449, 2016
512016
Improving surface roughness lengths estimation using machine learning algorithms
X Hu, L Shi, L Lin, V Magliulo
Agricultural and Forest Meteorology 287, 107956, 2020
222020
Optical-based and thermal-based surface conductance and actual evapotranspiration estimation, an evaluation study in the North China Plain
X Hu, L Shi, L Lin, B Zhang, Y Zha
Agricultural and forest meteorology 263, 449-464, 2018
172018
Impacts of a revised surface roughness parameterization in the Community Land Model 5.1
R Meier, EL Davin, GB Bonan, DM Lawrence, X Hu, G Duveiller, C Prigent, ...
Geoscientific Model Development Discussions 2021, 1-44, 2021
152021
Nonlinear boundaries of land surface temperature–vegetation index space to estimate water deficit index and evaporation fraction
X Hu, L Shi, L Lin, Y Zha
Agricultural and Forest Meteorology 279, 107736, 2019
152019
The data-driven solution of energy imbalance-induced structural error in evapotranspiration models
X Hu, L Shi, G Lin
Journal of Hydrology 597, 126205, 2021
102021
Multiphysics‐Informed Neural Networks for Coupled Soil Hydrothermal Modeling
Y Wang, L Shi, X Hu, W Song, L Wang
Water Resources Research 59 (1), e2022WR031960, 2023
72023
Enhancing streamflow estimation by integrating a data-driven evapotranspiration submodel into process-based hydrological models
X Lian, X Hu, J Bian, L Shi, L Lin, Y Cui
Journal of Hydrology 621, 129603, 2023
62023
Data‐Driven Discovery of Soil Moisture Flow Governing Equation: A Sparse Regression Framework
W Song, L Shi, L Wang, Y Wang, X Hu
Water Resources Research 58 (8), e2022WR031926, 2022
62022
Physics-constrained Gaussian process regression for soil moisture dynamics
L He, Q Zhang, L Shi, Y Wang, L Wang, X Hu, Y Zha, K Huang
Journal of Hydrology 616, 128779, 2023
42023
Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics‐Informed Deep Learning
W Song, L Shi, X Hu, Y Wang, L Wang
Water Resources Research 59 (5), e2022WR034122, 2023
32023
Parameter variability across different timescales in the energy balance-based model and its effect on evapotranspiration estimation
X Hu, L Shi, X Lian, J Bian
Science of The Total Environment 871, 161919, 2023
22023
A comprehensive study of deep learning for soil moisture prediction
Y Wang, L Shi, Y Hu, X Hu, W Song, L Wang
Hydrology and Earth System Sciences Discussions 2023, 1-38, 2023
12023
Interpretable machine learning of SPAC system via a mechanism-assisted gaussian process group: Representation of the system mechanism by data
L Wang, L Shi, X Hu, W Song, Y Wang, Y Wang, L Zhu
Computers and Electronics in Agriculture 221, 108979, 2024
2024
Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain
J Bian, X Hu, L Shi, L Min, Y Zhang, Y Shen, F Zhao, Y Zha, X Lian, ...
Agricultural Water Management 295, 108735, 2024
2024
Identification of Time-Varying Conceptual Hydrological Model Parameters with Differentiable Parameter Learning
X Lian, X Hu, L Shi, J Shao, J Bian, Y Cui
Water 16 (6), 896, 2024
2024
Hybrid modelling framework for photosynthesis rate estimation from leaf to global scales: integrating the spectrum-based V25cmax simulator into the process-based model
X Hu, L Shi, X Deng
EGU24, 2024
2024
Improving the evapotranspiration estimation by considering the effect of flux footprint climatology
J Bian, X Hu, L Shi, L Min, Y Zhang, Y Shen, F Zhao, Y Zha, X Lian, ...
Journal of Hydrology 631, 130769, 2024
2024
A novel hybrid modelling framework for GPP estimation: Integrating a multispectral surface reflectance based Vcmax25 simulator into the process-based model
X Hu, L Shi, L Lin, S Li, X Deng, L Li, J Bian, X Lian
Science of The Total Environment, 171182, 2024
2024
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