My research interest lies in modeling and understanding one of the most destructive and scientifically interesting natural phenomena - Hurricanes.
My work focuses on understanding how the internal processes affect the hurricane structure and intensity change, as well as how the large-scale atmospheric variabilities affect the basinwide and regional-scale hurricane activity. My tools are a hierarchy of numerical models, ranging from simple diagnostic toy models to sophiscated full-physics regional/global models.
Currently at NOAA/GFDL I am involved in constructing and implementing a novel variable resolution coupled prediction system for long-range (day 10–30) hurricane prediction over North Atlantic, which could ultimately serve as a seamless weather-climate prediction system. The most attractive feature of this numerical system is its highly efficient stretched two-way-nested capability developed at GFDL, which not only maintains the integrity of the large-scale global circulation, but also is capable of resolving the fine-scale processes relevant to the hurricane formation and intensity change.