Machine Learning

Co-authored paper featured as EOS Research Spotlight: Keeping Humans in the Loop Improves Flood Forecasting

Our paper on forecasters-in-the-loop flood forecasting was featured as a Research Spotlight on EOS.

May 19, 2026

Integrating Maximum Entropy Production Theory and Machine Learning to Improve Global Evapotranspiration Modeling

May 16, 2026

The Value of Forecasters-in-the-Loop in Real-Time Flood Forecasting in the Age of Machine Learning

Apr 24, 2026

An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics

Aug 18, 2025

Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High-Fidelity and Physics-Agnostic Models

Sep 7, 2023