![]() The results show that the lack of representation of the unresolved topography leads to a general overestimation of wind speed in WRF. Each of these events is downscaled using eight different model set-ups, but sharing the same driving data set. Given the importance of wind storms, the analysis is based on case studies of 24 historical wind storms that caused great economic damage in Switzerland. ![]() Hence, a number of sensitivity simulations at a spatial resolution of 2 km are carried out and compared to observations. Major factors of the model configuration are tested to find a suitable set-up: the horizontal resolution, the planetary boundary layer (PBL) parameterisation scheme and the way the WRF is nested to the driving data set. Therefore, this study aims at identifying a set-up of the Weather Research and Forecasting Model (WRF) model that minimises systematic errors of surface winds in hindcast simulations. ![]() Simulating surface wind over complex terrain is a challenge in regional climate modelling.
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