Dr. Yongsheng Chen completed a PhD degree at McGill and a postdoctoral research position with the US National Centre for Atmospheric Research (NCAR). He has been an active developer of advanced numerical modeling and data assimilation systems. He has been utilizing state-of-the-art numerical models and ensemble-based data assimilation techniques to improve weather forecasts, regional climate predictions, and air quality forecasts.
- Data assimilation and numerical modeling
- Mesoscale dynamics and severe weather
- Regional climate modeling
- Air-quality modeling
- Upper atmosphere modeling
Severe Weather Research Lab
Mamun A., Y. Chen, J. Liang, 2021: Radiative and cloud microphysical effects of the Saharan dust simulated by the WRF-Chem model. Journal of Atmospheric and Solar-Terrestrial Physics, 219.
Liu, S., Shepherd, G. G., Chen, Y., Shepherd, M. G., & Bhutia, S. (2019). WINDII observations and WACCM-X simulations of high-latitude winds under different solar radio flux and geomagnetic disturbance conditions. Journal of Geophysical Research: Space Physics, 124, 6087– 6096. https://doi.org/10.1029/2019JA026864
Men, Z., E. Yee, F.-S. Lien, D. Wen, and Y. Chen, 2015: Short-term wind speed and power forecasting using an ensemble of mixture density neural networks. Renewable Energy, 87, 203-211.
Wang, H, X.-Y. Huang, and Y. Chen, 2013: An observing system simulation experiment for the impact of MTG candidate Infra-Red Sounding mission on regional forecasts: System development and preliminary results. ISRN Meteorology, vol. 2013, Article ID 971501, 18 pages, doi:10.1155/2013/971501
Schwartz, C. S., Z. Liu, Y. Chen, and X.-Y. Huang, 2012: Impact of assimilating microwave radiances with a limited-area ensemble data assimilation system on forecasts of typhoon Morakot, Wea. Forecasting, 27, 424-437.
Rotunno, R., Y. Chen, W. Wang, C. Davis, J. Dudhia, and G. Holland, 2009: Large-eddy simulation of an idealized tropical cyclone. Bull. Amer. Meteor. Soc., 90, 1783-1788.