Downslope windstorms are mesoscale meteorological phenomena that occur in mountainous regions. The hourly average speed of these winds can exceed 20 m·s−1, and the gusts can go up to 50 — 70 m·s−1. Downslope winds can locally enhance abrupt changes in temperature and other meteorological parameters, but can also negatively affect the environment, and people as well. The data analyzed in this study was obtained by the NorCP project using the HCLIM38-AROME model which is nested in the HCLIM38-ALADIN model grid. Boundary conditions were obtained from the ERA-Interim reanalysis. The simulations covered 20 years, from 1998 to 2017, for the region of the Scandinavian peninsula, or more precisely, the Scandes. Due to their complexity, it is particularly challenging to model and study the effects of the Scandes on the weather. The seas and oceans surrounding the Scandinavian region, steep mountains with abundant intersecting canyons, fjords, and peaks all affect the wind flow, changing it dynamically and thermodynamically. This study addresses the connection between the synoptic situation and downslope windstorms in four subsequently divided subdomains. Ten large-scale circulation types have been introduced to find potential regularity. After counting the number of downslope windstorms per season, a more detailed analysis of circulation types and subdomains of the winter seasons (DJF) was conducted. The results show that the downslope windstorms’ directions per subdomain and circulation types do not differ significantly. The temperature change in the regions of downslope winds was studied, i.e., if the wind has a bora or foehn character. It was shown how the circulation types on the subdomain do not differ from each other climatologically. To understand why that is, the analysis of individual dates which caused the highest number of downslope windstorms was conducted. Five examples were selected: dominant cooling, dominant heating, two dates where the clear difference between cooling and heating can be seen, and a heterogenous case. The consideration of the mentioned cases indicates the complexity of the situation and shows how numerous factors can play a significant role when trying to understand local meteorological phenomena like downslope windstorms.