The overarching research theme in our group focuses on improving our fundamental understanding of the terrestrial and atmospheric branches of the hydrologic cycle. We seek to understand the mean states and fluxes between terrestrial and atmospheric reservoirs as well as the spatial and temporal variability in these processes. Our studies span a range of space and time scales to allow for improved understanding of historical climate patterns, real-time diagnosis of hydrologic processes, and extension to understanding and predicting future climate change and its connection to water resources. A primary objective of this work is to ultimately improve our ability to manage water resources and mitigate the effects of environmental hazards.

To address these topics, the tools we use include: multi-spectral remote sensing, distributed hydrologic modeling, coupled land-atmosphere modeling, atmospheric/climate modeling, radiative transfer modeling, data assimilation techniques, and high-performance parallel computing.

Recent and Ongoing Research Projects