## 4 Conclusions  
The railway from Kangding to Qambo is divided into two regions for simulation in this paper. In region 2 with complex terrain, the vertical direction near the ground is densified to 15 layers at a height of about 1.5 km, and the MCD12Q1v006 land use data are used to replace the original data. The susceptibility of drifting snow along the railway is judged according to the simulation results. The conclusions are as follows:  
1. Among the simulations of temperature, rainfall, and wind speed, the simulation result of temperature is the best, followed by wind speed and rainfall. The WRF model can simulate the change trend of the three meteorological elements very accurately during the calculation period.
2. For mountainous areas with complex terrain, using the method of increasing the number of layers in the vertical direction and densifying near the ground can significantly improve the simulation result of wind speed by the WRF model.
3. The regional climate of the Ya'an to Qambo railway is influenced by the south branch jet stream of the westerly circulation. The temperature is high in the east and low in the west, the rainfall is more in the east and less in the west, and the wind speed is high in the west and low in the east. The average wind speed is concentrated around 5-8 m/s, and the dominant wind direction in winter is mainly westerly and southwesterly.
4. The WRF model can be applied to determine the susceptibility of drifting snow in areas lacking meteorological information: the total length of Ya'an-Qambo section is about 700 km, of which about 321 km of railway may experience drifting snow. The railway is more likely to be affected by drifting snow disaster when passing through Kangding County, Luding County, and Tianquan County where they border each other; although there are places with higher probability of drifting snow occurrence in the simulation area, these places are far away from the railway and will not affect it.  
In the term of railway protection with high susceptibility, the meteorological information calculated by WRF can be extracted and taken as the boundary condition of computational fluid dynamics (CFDs) so as to more accurately study the snow condition of various roadbeds and the protective effect of various forms of snow fence to achieve the best protection of the railway.  
The WRF model is easy to access, has a fast calculation rate, and provides high reliability of results. It can be applied to any location lacking but requiring long time series and high-resolution meteorological information, creating significant economic value at a relatively low cost. Therefore, this computational method has enormous potential for applications in engineering, industry, and other fields.  
**Funding:** This research was funded by Innovation research group project of Natural Science Foundation of Hebei Province of China (Grant No. E2022210078), Central Leading Local Science and Technology Development Fund Project (Grant No. 236Z5410G), High-end Talents Project of Hebei Province of China (Grant No. [2019] 63), and Funded by Science and Technology Project of Hebei Education Department (Grant No. QN2023093).  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The raw data supporting the conclusions of this article will be made available by the authors on request.  
**Conflicts of Interest:** The authors declare no conflict of interest.