3 papers
q-bio.QM2026
Assessing global drivers of forest transpiration using clustered machine learning models
Morgan Thornwell, David Yang, Cheng-Wei Huang +2
Understanding the environmental drivers of forest transpiration is critical for improving global predictions of water availability and ecosystem health. Due to many competing contr…
physics.geo-ph2025
Structure-Function Coherent Coarsening for Cross-Resolution Ecohydrological Modeling
Long Jiang, Yang Yang, Morgan Thornwell +2
Ecohydrological models are increasingly applied across multiple scenarios, yet their application remains constrained by high computational costs of fine-resolution simulations and…
cs.LG2025
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems
Long Jiang, Yang Yang, Ting Fong May Chui +2
Simulating ecohydrological processes is essential for understanding complex environmental systems and guiding sustainable management amid accelerating climate change and human pres…