In this paper, the daily snow cover observation data from 72 stations on the Qinghai-Tibet Plateau and the monthly mean sea surface temperature data from the Hadley Center are used. Based on the analysis of the relationship between the frequency of plateau snow disasters and sea temperature anomalies, the ECHAM5 model is used to respond to the SSTA(Sea Surface Temperature Anomaly) response of snow disasters to key tropical sea areas. Sensitivity test. The results show that:(1) from 1978 to 2014, the frequency of snow disasters on the Qinghai-Tibet Plateau during the first half of the year showed a decreasing trend, with a decrease of 3.4 times/(10 a). The decrease in snow disasters after 1998 was particularly significant. The snow disaster spatially shows an increasing distribution form from north to south. The high-value areas are mainly concentrated in the northern slope of the Himalayas and the Jiali area, while the Qaidam Basin and the agricultural areas in eastern Qinghai are low-value areas where snow disasters occur. (2) The frequency change of snow disasters is significantly related to the anomalies of SST in the equatorial Middle East Pacific, and the tropical Indian Ocean. Sensitivity tests have shown that under El Niño modal forcing, the trough of East Asia is weak, and the Xindi Island and the Ural Mountains form high resistance. The north air flow guides cold air from the south of the Siberian channel and accumulates on the plateau. The warm and humid air flow from the Arabian Sea is transported to the Qinghai-Tibet Plateau through the Iranian plateau; the formation of high pressure and strong negative anomalies in the Northwest Pacific at the same latitude caused the cold air of Siberia and the humid airflow southwest of the Pacific Northwest to turn into the southerly winds in the South China Sea and entered the plateau provides water vapor conditions.