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

Flashiness in the United States

Mapping flood flood severity in the United States using data-driven techniques.

India Flood Inventory

We are building a historical flood observation database over India. More later.

INDRA Crowdsourcing Framework

INDRA Reporter is a free app for crowdsourcing reports on weather and water-related natural hazards such as floods,…