This paper presents the results of an internal research program at Southwest Research Institute for the development of a weather simulation and modeling approach for training and simulation applications. This weather simulation system approach, known as Weather Environment Simulation Technology (WEST), provides the means to correlate and synchronize all weather-related cues presented to the student. The approach provides for direct correlation between out-the-window visual weather scenes, weather-processing sensors and avionics displays, and vehicle handling qualities through the use of a unified meteorological database that has been reformatted specifically for real-time simulation. By ensuring dynamic weather cue correlation across all simulator subsystems, this technique enables simulator instruction in weather-related procedures to be highly transferable to mission-oriented situations. This research effort demonstrated a method for processing weather data in real time for generation of out-the-window weather imagery that correlates directly with airframe dynamic effects. The model architecture also supports sensor simulations and generation of cues on operator displays and controls. Since the weather model is driven by gridded-field, digital meteorological data, students can learn and practice weather-related skills within a realistic, synthetic weather environment as produced by a WEST-compatible simulator.