2 papers
cs.LG2026
HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL
Zhi Li, Songkun Yan, Jie Cao +4
Calibrating distributed hydrologic models is a critical bottleneck across operational water resources management - streamflow prediction, reservoir operation, drought monitoring, i…
cs.LG2025
Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
Wanshu Nie, Sujay V. Kumar, Junyu Chen +6
Recent advances in machine learning such as Long Short-Term Memory (LSTM) models and Transformers have been widely adopted in hydrological applications, demonstrating impressive pe…