Evaluation of high-resolution surface analyses and forecasts with ensemble Kalman filtering data assimilation in regions of complex terrain

Zhaoxia Pu*
University of Utah

Despite of the importance of accurate, high-resolution atmospheric surface analyses and short-range forecasts, they remain quite difficult to produce in current research and operational practice, especially over the regions of complex terrain.

In this talk, I will first present results in the examination of errors in near-surface temperature and wind from an advanced research version of the weather research and forecasting (WRF) numerical simulations. Then, the abilities and advantages of the ensemble Kalman filter assimilation of near-surface atmospheric observations are then discussed. Results of data assimilation and numerical prediction experiments over the Intermountain West region with the WRF model, its 3DVAR systems, as well as an EnKF system developed by NCAR Data Assimilation Research Testbed (DART/WRF) will be presented and discussed.

*email: Zhaoxia.Pu@utah.edu
*Preference: Oral