research

My research interests involve hydrologic science/water resources system analysis and computational modeling with an emphasis on predictive science, uncertainty analysis, data analytics, and high-performance computing. My research focuses on advancing our understanding of the interactions between climate, hydrology, and water resources using the data sets and methods including, machine learning, remote sensing, state-of-the-art data assimilation, Bayesian inference, distributed hydrologic modeling, ensemble inference, post-processing, and multi-modeling. In our research group, we study the surface and subsurface hydrologic processes and their interactions to improve the predictability of extreme hydroclimate events under the climate change. In general, we seek solutions in a multidisciplinary manner by bridging the fields of engineering, statistics, and data science.

Past Research

Enhancing Hydrologic Data Assimilation Algorithms

Drought Monitoring and Forecasting

Flood Inundation Mapping and Forecasting

Wildfire Data Analysis and Prediction

Crop Yield Analysis and Forecasting

Downscaling Remotely Sensed Data

Ongoing Research

Integrated Hydrologic Modeling and Assimilation