Weather Research and Forecasting (WRF) is a numerical weather prediction system designed to allow researchers and forecasters to effectively simulate and forecast weather phenomena on a wide range of scales, from mesoscale to synoptic scale. The system incorporates a variety of dynamical cores, physical parameterizations, and data assimilation techniques to improve the accuracy of weather predictions. WRF can be used for a variety of applications including forecasting severe weather events, studying atmospheric processes, and assessing the impact of climate change on local and regional weather patterns. It is widely used by both academic researchers and operational meteorologists around the world.