A review of the WRF-ARW numerical model's performance as a tool for precipitation simulations over Iran

Knowledge of the spatial distribution and intensity of an impending heavy rainstorm improves the accuracy of management decisions made before, during, and after the storm. Thanks to advances in science, particularly in the field of computer calculations and solving advanced atmospheric equations based on valid physical and dynamic equations, everyone, especially managers and planners of water resources, now can predict how the weather will change in the near future with less uncertainty than in the past. Researchers have recently regarded the Weather Research and Forecasting (WRF) mesoscale model as an essential tool for atmospheric studies and forecasting, because it combines the most recent advances in atmospheric sciences with a set of physical parameterization options (cloud microphysics, radiation, convection, boundary layer turbulence, surface temperature, and moisture treatment at a sub-grid scale) to produce a dynamic downscaling model in simulating atmospheric processes. Therefore, in the current study, we attempted to collect, review, and summarize the results of several studies conducted (within the country) in order to familiarize the audience with the WRF model with ARW core, as well as to provide a set of constructive points of view and suggestions regarding the application of the WRF-ARW model in precipitation simulation. Naturally, domestic researchers have published so many investigations both within the country and overseas that there was no way to examine them all in the form of a review article; however, this will undoubtedly be one of the authors' future study goals.