1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2024
Approaches for enhancing extrapolability in process-based and data-driven models in hydrology
Haiyang Shi
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,…
physics.geo-ph2024
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Haiyang Shi
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…
physics.ao-ph2023★ 1 cited
Global pattern and mechanism of terrestrial evapotranspiration change indicated by weather stations
Haiyang Shi
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 climat…