The article considers the reasons for the underestimation of the wind speed by the WRF-ARW model when simulating downslope windstorms in the Russian Arctic. Simulation results for the Tiksi windstorm, for which sensitivity tests were carried out, appeared to be weakly dependent on the initial and boundary conditions, topography resolution, and boundary layer parameterization. Wind speed underestimation was mostly related to improper land use and the highly overestimated roughness length, which are used in the model. Reduction of the roughness length in accordance with the observations leads not only to a quantitative change in the wind speed in the boundary layer, but to qualitative changes in the dynamics of the flow. Wind underestimation in simulations with the overestimated roughness was caused by the jet stream unrealistically jumping over the lee slope and wake formation in the station area, while jet stream stayed near the surface and propagated to the station area in simulations with the modified roughness length. Modification of land use and roughness length in Tiksi and other regions where downslope windstorms are observed (Novaya Zemlya, Pevek, Wrangel Island) led to a decrease in wind speed modelling error by more than 2.5 times.

文章考虑了在模拟俄罗斯北极下坡风暴时WRF-ARW模型低估风速的原因。进行了敏感性测试的提克西风暴的模拟结果似乎与初始条件和边界条件、地形分辨率和边界层参数化的相关性较弱。风速低估主要与土地利用不当和模型中使用的高估粗糙度长度有关。根据观察结果的粗糙度长度的减少不仅导致边界层中风速的量变，而且导致流动动力学的质变。高估粗糙度模拟中的风力低估是由于急流不切实际地跳过背风坡并在站区形成尾流，而在修改粗糙度长度的模拟中，急流停留在地表附近并传播到站区。Tiksi 和其他观测到下坡风暴的地区（新地岛、佩韦克、弗兰格尔岛）的土地利用和粗糙度长度的修改导致风速建模误差减少了 2.5 倍以上。