Hybrid Modeling for Fine-Scale Runoff Prediction

Team

• Siamak Malakpour Estalaki
• Yao Hu

Supported by

This research develops hybrid modeling approaches that pair process-based hydrologic models with data-driven methods to predict runoff at fine spatial scales, while keeping results physically interpretable.

The work spans edge-of-field runoff prediction, generalization of runoff-risk models, and methodological frameworks for improving data-driven model performance.