Di’s current research is primarily focused on understanding hydrologic extremes and their future changes. Large spread in model-simulated extreme rainfall are seen across generations of global climate models. Toward a better understanding of hydrological extremes and narrowing the uncertainties in model projections, Di seeks to leverage observations and global climate models, developing emergent constraints that connect current and future hydroclimate variability and changes. She has worked with multiple observational datasets, conducted numerical experiments using the Community Earth System Model, and analyzed output of CMIP5 and CMIP6 models.
Di joined our group since September 2019 after obtaining her PhD in Atmospheric Sciences from University of Albany, State University of New York. Her graduate research centered on understanding precipitation characteristics, including frequency, intensity, duration and diurnal cycle.