Greenbelt, MD 20771
• Tropical cyclones/cumulus convection in high-resolution global model • Large-scale teleconnections and Rossby wave dynamics • Subseasonal to seasonal prediction • ENSO and monsoon dynamics • Arctic climate variability and change • Extreme weather/climate • Climate variability diagnosis from subseasonal to interdecadal time scales • Impact of land uses on climate change • Dynamical (numerical regional model) and statistical downscaling
Dr. Young-Kwon Lim got bachelor (1995) and master (1997) degree in Seoul National University (Atmospheric Science), South Korea. After two-year works at Meteorological Research Institute in South Korea, he came to the U.S. to start a Ph.D. at Florida State University in 2000. During his doctroal degree program (2000-2004), he worked on monsoon climate variability and prediction of monsoon precipitation on subseasonal to seasonal time scale. While he was a postdoctoral researcher (2004-2007) and research faculty (2007-2010) in Florida State University, his major research areas were 1) the impact of vegetation on surface climate change, 2) dynamical regional model and statistical downscaling model development, and 3) climate variability analysis and long-range prediction. He joined NASA/GSFC/GMAO in 2010 to work on the climate variability and weather extremes using modeling and assimilation tools developed by the GMAO. Specifically, he has been working on high-resolution tropical cyclone (TC) simulation experiments using the NASA GEOS5 model to improve simulation of TC (genesis frequency, intensity, 3-D structure, and track patterns (including landfall)). He has been also working on subseasonal to seasonal prediction, extreme weather/climate, ENSO, large-scale teleconnections (with Rossby wave dynamics), and the Arctic climate variability.