Xingchao Chen

Xingchao Chen is an Assistant Professor in the Department of Meteorology and Atmospheric Science at Howard University. His research focuses on mesoscale convective systems, tropical meteorology, and data assimilation techniques. He actively contributes to understanding atmospheric dynamics and improving severe weather prediction through innovative methodologies.

Key projects include the In-situ Collaborative Experiment for the Collection of Hail In the Plains (ICECHIP) (NSF-funded, 2024–2028) and the Howard University Beltsville Center for Planetary Boundary Layer Studies (NSF-funded, 2000–2025). His work addresses topics like convective system initiation, diurnal precipitation patterns, and atmosphere-ocean interactions.

Recent research highlights include studies on mesoscale convective systems over the South China coast, long-distance precipitation propagation in South America, and enhancing hurricane prediction via satellite data assimilation. His findings have been published in prestigious journals like the Journal of Geophysical Research and Quarterly Journal of the Royal Meteorological Society.

Chen’s contributions bridge theoretical atmospheric science with practical applications, including improving ensemble forecasting and analyzing tropical cyclone dynamics. He collaborates internationally on climate modeling and hydrological studies, particularly in monsoon regions and the Third Pole.