The overarching goal of our research is to develop solutions that reduce the impact of natural disasters. Our research seeks to disentangle the complex relationships between geomorphology, climate, precipitation, and runoff generation using physics-based and data-driven models. Our interests include, but are not limited to:
- Land surface/hydrologic modeling - Statistics and machine Learning - Data assimilation - Hydrologic extremes, Flood and drought forecasting - Radar and satellite precipitation - Remote sensing applications in hydrology - Crowdsourcing
Mapping flood flood severity in the United States using data-driven techniques.
We are building a historical flood observation database over India. More later.