Our research lies at the intersection of hydrology, hydrometeorology, and remote sensing and includes topics that deal with hydroclimatic risk, modeling and monitoring of hydrologic extremes, and climate change impact on water resources, among others.
Our research is funded by federal (NASA, NSF, NOAA) and state agencies (FOIR) as well as the industry.
A list of the main thematic areas of our research activities is provided below. For more details about our research projects, see here.
Estimation of hydroclimatic extremes
Estimation of the magnitude, duration and frequency of extremes (precipitation, floods, droughts) across various temporal and spatial scales is of paramount importance for accurate risk assessments and for developing effective mitigation strategies. We integrate state-of-art hydroclimatic observations with novel statistical procedures to provide robust estimates of past and future changes of extremes.
Precipitation Estimation and Uncertainty Quantification
Reliable precipitation information from remote sensors is a crucial requirement for meaningful hydrologic assessment. We are using statistical methods to optimally combine in-situ observations and atmospheric reanalysis with satellite-based precipitation estimates. Quantification of precipitation uncertainty and its propagation in simulated hydrologic variables provides important information for several fields in water resources and environmental sciences, such as water resources management, agriculture and irrigation practices, and hydrologic hazard prediction.
Prediction of hydrogeomorhic hazards
Accurate and timely prediction of hydrologic and hydrogeomorphic hazards such as flash floods, debris flows and landslides are mandatory for improving preparedness and response during imminent disasters. Our research focuses on developing predictive models that integrate with remote sensing observations and weather forecasts to improve early warning procedures and advance resilience of our communities.