University of Colorado Denver College of Liberal Arts and Sciences

Bio

Jonathan Beezley's received his Ph.D. in applied mathematics from the University of Colorado at Denver in 2009. His primary area of research involves data assimilation in applications involving spatial propagation of coherent features. He developed the morphing ensemble Kalman filter and contributed to the release of the wildfire modeling component of the Weather Research and Forecasting Model (WRF). He is currently researching innovative methods of ensemble data assimilation for applications ranging from hurricane forecasting to epidemic modeling.

Select Publications

J. Mandel, J. D. Beezley, J. L. Coen, and M. Kim. Data assimilation for wildland fires: Ensemble Kalman filters in coupled atmosphere-surface models. IEEE Control Systems Magazine, pages 47–65, June 2009.

J. Mandel, L. S. Bennethum, J. D. Beezley, J. L. Coen, C. C. Douglas, M. Kim, and A. Vodacek. A wildland fire model with data assimilation. Mathematics and Computers in Simulation, 79:584– 606, 2008.

J. D. Beezley and J. Mandel. Morphing ensemble Kalman filters. Tellus, 60A:131–140, 2008.