Six numerical experiments using the Weather Research and Forecasting (WRF) model were conducted to simulate a snow event over the TP in March 2017. Current literature provides scarce evidence covering the sensitivity of solid precipitation to land surface physics schemes and initial and boundary conditions on the TP. Snowfall and the subsequent evolution of the snowpack play important roles in the cryospheric and hydrospheric processes that occur on the Tibetan Plateau (TP). A brief historical overview of regional climate modeling is also presented. Future directions in RCM research are discussed, with highlight on: transition to convection-permitting modeling systems further development of Regional Earth System Models including the human component next phase of the Coordinated Regional Climate Downscaling Experiment project and use of RCMs in the distillation of actionable information for contribution to climate service activities. Among the outstanding issues in need of more attention are the Added Value of using this downscaling technique various technical aspects concerning RCM simulations and uncertainties in RCM-based climate projections. Among the main achievements in RCM research the focus is on: the development of community RCMs applicable to a wide variety of studies and regional contexts the increase of model simulation length up to centennial scales and spatial resolutions up to convection-permitting scales (few kilometers), leading to a better understanding of regional to local climate change signals the development of fully coupled Regional Earth System Models the inception of intercomparison projects culminating in the international Coordinated Regional Climate Downscaling Experiment the extensive use of RCM simulations for impact assessments and the involvement of the scientific community from developing countries in climate modeling research. RCMs were primarily developed to provide fine-scale climate information for impact studies, but they have evolved into general and multipurpose modeling tools. The year 2019 marks the thirtieth anniversary of the development of the first regional climate model (RCM), and here an overview is provided of the progress in regional modeling research and of the main challenges lying ahead. Despite these limitations, WRF has proved to be an important tool for predicting the spatial and temporal distribution of snowfall and precipitation in the higher regions of southern Brazil. These results were attributed to the choice of WRF Single–moment 6–class (WSM6) microphysics and in the Noah Land Surface Model scheme. The WRF simulation underestimated the results for the accumulated and area of the snowfall region, which may be linked to overestimations of surface and vertical air temperature and liquid water precipitation. The WRF simulation results demonstrated the model's viability to predict the event, but without the magnitude representation of the phenomenon. The Snowfall in the mountain region of RS and SC was associated with the configuration involving a polar anticyclone and the intensification of an extratropical cyclone over the Atlantic Ocean. The event in August 2013 was considered one of the most intense in recent years in the region with the highest topographic elevations between the states of Rio Grande do Sul (RS) and Santa Catarina (SC). This study evaluates the reliability of the Weather Research and Forecasting (WRF) to simulate a snowfall event in the south of Brazil.
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