WRF（weather research and forecasting）模式中参数化方案的选择与近地面风场的仿真模拟结果关系密切。为解决新疆北部不同地形地区风场模拟准确性的问题，采用WRF中尺度气象模式，探究4类参数化方案（边界层、微物理、陆面过程、近地面层）以及次网格地形方案对新疆北部不同地形地区风场模拟结果的影响。结果表明：每组试验均能模拟出风速的变化趋势；陆面过程RUC（rapid update cycle）方案和微物理Lin（Purdue Lin）方案对平原地区模拟结果较好，陆面过程Noah方案和微物理WSM6（WRF single moment 6 class）方案对山区地形模拟结果较好，且对于平原和山谷地形，次网格地形方案对模拟地区均能起到较好的修正作用。

The selection of parameterization schemes in the WRF (weather research and forecasting) model is closely related to the simulation results of near-surface wind field. In order to ensure the accuracy of wind field simulation in different terrains in northern Xinjiang, WRF model was adopts to investigate the effects of four types of parameterization schemes (boundary layer, microphysics, land-surface, near-surface layer) and subgrid-scale terrain parameterization schemes on wind field simulation. The results indicate that: each group of experiments can simulate the change trend of wind speed. RUC (rapid update cycle) of land-surface schemes and Lin (Purdue Lin) microphysics scheme have better simulation results in plain area, while Noah land-surface scheme and WSM6 (WRF single moment 6 class) of microphysics schemes have better simulation results for mountainous terrain. For both the plain and valley terrains, the subgrid topographic terrain schemes can provide a better correction for the simulation.