Comparing the use of all data or specific subsets for training machine learning models in hydrology: A case study of evapotranspiration prediction
H Shi, G Luo, O Hellwich, X He, M Xie, W Zhang… - Journal of …, 2023 - Elsevier
Abstract Machine learning has been widely used in hydrological modeling. However, the
question of whether to use all data for modeling or only a specific subset for modeling and its …
question of whether to use all data for modeling or only a specific subset for modeling and its …
Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing
Simulating the carbon-water fluxes at more widely distributed meteorological stations based
on the sparsely and unevenly distributed eddy covariance flux stations is needed to …
on the sparsely and unevenly distributed eddy covariance flux stations is needed to …
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
H Shi, G Luo, O Hellwich, X He… - Hydrology and Earth …, 2023 - hess.copernicus.org
In the context of global warming, an increase in atmospheric aridity and global dryland
expansion under the future climate has been expected in previous studies. However, this …
expansion under the future climate has been expected in previous studies. However, this …
Revisiting and attributing the global controls on terrestrial ecosystem functions of climate and plant traits at FLUXNET sites with causal networks
Using statistical methods that do not emphasize the systematic causality to attribute climate
and plant traits to control ecosystem function may produce biased perceptions. We revisit …
and plant traits to control ecosystem function may produce biased perceptions. We revisit …
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
H Shi - arXiv preprint arXiv:2406.00805, 2024 - arxiv.org
Machine learning-based hydrological prediction models, despite their high accuracy, face
limitations in extrapolation capabilities when applied globally due to uneven data …
limitations in extrapolation capabilities when applied globally due to uneven data …
Approaches for enhancing extrapolability in process-based and data-driven models in hydrology
H Shi - arXiv preprint arXiv:2408.07071, 2024 - arxiv.org
The application of process-based and data-driven hydrological models is crucial in modern
hydrological research, especially for predicting key water cycle variables such as runoff …
hydrological research, especially for predicting key water cycle variables such as runoff …
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
H Shi - arXiv preprint arXiv:2403.11331, 2024 - arxiv.org
Due to the heterogeneity of the global distribution of ecological and hydrological ground-
truth observations, machine learning models can have limited adaptability when applied to …
truth observations, machine learning models can have limited adaptability when applied to …
Global pattern and mechanism of terrestrial evapotranspiration change indicated by weather stations
H Shi - arXiv preprint arXiv:2309.06822, 2023 - arxiv.org
Accurate estimation of global terrestrial evapotranspiration (ET) is essential to
understanding changes in the water cycle, which are expected to intensify in the context of …
understanding changes in the water cycle, which are expected to intensify in the context of …
Evapotranspiration trends over the last 300 years reconstructed from historical weather station observations via machine learning
H Shi - arXiv preprint arXiv:2407.16265, 2024 - arxiv.org
Estimating historical evapotranspiration (ET) is essential for understanding the effects of
climate change and human activities on the water cycle. This study used historical weather …
climate change and human activities on the water cycle. This study used historical weather …
Interactions between the land surface and the near-surface atmosphere: implications for evaporative demand and evapotranspiration under a changing climate
Y Kim - 2022 - open.library.ubc.ca
Terrestrial evaporation (also referred to as evapotranspiration) is a central variable
controlling water, energy, and carbon cycles. However, our ability to estimate …
controlling water, energy, and carbon cycles. However, our ability to estimate …