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 | 62 | 2021 |
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 | 51 | 2016 |
Improving surface roughness lengths estimation using machine learning algorithms X Hu, L Shi, L Lin, V Magliulo Agricultural and Forest Meteorology 287, 107956, 2020 | 22 | 2020 |
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 | 18 | 2018 |
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 15 (6), 2365-2393, 2022 | 17 | 2022 |
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 | 15 | 2019 |
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 | 11 | 2021 |
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 | 8 | 2023 |
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 | 8 | 2022 |
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 | 6 | 2023 |
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 | 4 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2023 |
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 | 1 | 2024 |
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 |
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 |