The weather forecast for the limited area is based on the regional atmospheric model WRF-ARW. In order for the prediction system to be cost-effective, the optimal spatial resolution of the regional model and the set of physical parameterizations are selected individually for a particular area. Methods of assimilation of observational data by the model itself and a file approach are used to improve the quality of predictions.
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. The ARW core is developed and supported by NCAR’s Mesoscale and Microscale Meteorology Laboratory.