准确的积雪模拟对水资源开发、气候变化及地质灾害预报都具有重要的指导意义。然而在高山区，风力引起的动力损失造成固态降水量观测值存在较大的误差，导致积雪模型气象驱动数据本身存在不确定性。此外，风吹雪是影响积雪在地表再分配的关键因素，虽然一些学者开发出了基于物理过程的风吹雪模型，但这些模型的普适性并没有得到验证且与大部分积雪模型并未实现耦合。基于此，本项目拟选取有较好观测和研究基础的新疆阿尔泰山区喀依尔特斯河流域，通过开展降水空间加密观测和降水对比试验，获取更为准确的降水驱动数据。结合流域布设的风吹雪观测场记录的数据，对风吹雪模型的模拟效果进行验证和改进。通过对积雪模型和风吹雪模型进行耦合，给出流域尺度上更为精确的积雪积累和消融过程的模拟结果。

The accurate simulation of snow accumulation and ablation processes is of great significance to water resources development, climate change and geological disaster prediction. However, in the high mountain area, the wind-induced undercatch causes large errors in the observed value of solid precipitation, which leads to the uncertainty of the meteorological driving data of the snow cover model. In addition, blowing snow is a key factor affecting snow redistribution. Although some scholars have developed blowing snow models based on physical processes, the universality of these models has not been verified and they are not coupled with most snow models. Based on this, the project intends to select the Kayiertesi river basin in the Altai Mountains of Xinjiang, which has a good basis of observation and research, to obtain more accurate precipitation driving data by carrying out intensive observation and precipitation comparison test. Combined with the data recorded by the blowing snow observation field in the basin, the simulation results of the blowing snow model are verified and improved. Through the coupling of snow model and blowing snow model, more accurate simulation results of snow accumulation and ablation process at the basin scale will be given.