Ying Pan

Ying Pan is an Associate Professor of Meteorology and Atmospheric Science at the Pennsylvania State University, affiliated with the Department of Meteorology and Atmospheric Science within the College of Earth and Mineral Sciences.

• PhD in Meteorology (2014), Pennsylvania State University
• MS in Atmospheric Sciences (2007), Peking University
• BS in Atmospheric Sciences (2004), Peking University

Her research focuses on atmospheric boundary layer dynamics, turbulence analysis, and fluid-structure interactions. She employs large-eddy simulation (LES) techniques to study turbulence memory effects in tornado dynamics, canopy flow responses to stability, and particle dispersion mechanisms in agricultural systems. Her work bridges theoretical boundary layer physics with practical environmental applications.

Recent publications highlight advancements in turbulence modeling (2020), scaling laws for shear production (2016), and canopy-edge particle dispersion studies (2015). Key methodologies include numerical simulations, spectral analysis, and field data interpretation.

She has taught courses such as METEO 273 (Programming Techniques), METEO 421 (Atmospheric Dynamics), and METEO 554 (Atmospheric Turbulence). Professional experience includes postdoctoral research at the National Center for Atmospheric Research (2015-2017) and current faculty tenure since 2017.