Development of four generations of a process-based land surface model (Simplified Simple Biosphere Model, SSiB) including biophysical processes, photosynthesis process, cryospheric processes, dynamic vegetation processes, urban parameterizations, and wildfire processes based on energy, water, and carbon balances.
Atmosphere-land surface coupling processes and hydrometeorological prediction, focusing on the impact of land-surface processes, including vegetation biophysical processes, land-cover and land use change, land surface and subsurface temperature, and land-surface parameters and parameterizations, on regional climate and global climate variability and anomalies, with a special emphasis on monsoon systems, and the mechanism involved.
Remote sensing methodology for atmospheric and land surface variables, and application of remote sensing products in prediction studies. Dynamic downscaling ability under different conditions using regional climate models.
Leading two international climate/weather projects: West African Monsoon Modeling and Evaluation (WAMME), and GEWEX/Impact of initialized land temperature and snowpack on subseasonal to seasonal prediction (LS4P).
Areas of active research include West Africa, Continental U.S., East Asia, and South America.