Ph.D., University of Arizona
Dr. Gao's research is in the characterization of hydrometeorology using coupled atmosphere-land surface models. He studies mesocale and hydrological modeling for understanding the changes and variations of climate and hydrology over the global arid and semi-arid regions and searching the applications of model predictions in the regional hydrology and water resources.
Dr. Gao also is working on using satellite remotely sensed information to retrieve physical variables of atmosphere, land surface, and ocean, which include the global precipitation (rainfall and snowfall), clouds, sea surface temperature, and vegetation parameters. Current research focuses on the data assimilation, ensemble forecasts to improve the predictability of mesoscale models.
He is currently doing research for the Center for Hydrology & Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering.