WRF has a large worldwide community of registered users (a cumulative total of over 57,800 in over 160 countries as of 2021), and NCAR provides regular workshops and tutorials on it. WRF is currently in operational use at NCEP and other national meteorological centers as well as in real-time forecasting configurations at laboratories, universities, and companies.

WRF offers operational forecasting a flexible and computationally-efficient platform, while reflecting recent advances in physics, numerics, and data assimilation contributed by developers from the expansive research community. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA).įor researchers, WRF can produce simulations based on actual atmospheric conditions (i.e., from observations and analyses) or idealized conditions. The effort to develop WRF began in the latter 1990's and was a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the Earth System Research Laboratory), the U.S. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The Weather Research and Forecasting (WRF) Model is a state of the art mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications.

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