The authors analyzed various factors that cause extreme ice covering (EIC) using statistical methods on extreme ice thickness records and contemporaneous observational meteorological data from weather stations in southern China, and summarized how certain meteorological conditions, such as temperature, wind speed, and humidity, affect the EIC value. Further study of the EIC values and meteorological parameters at stations of Weining, Jinfoshan, Emeishan, and Sansui, allowed us to establish a regression model for the EIC data series. Based on the extreme ice thickness records and contemporaneous observational meteorological data from weather stations, the wire EIC value sequences were reconstructed, and it showed that regression models of wire EIC value sequences under different climate background conditions have significant differences. According to cross-test results using independent samples, the reconstructed regression model sequence for the Weining station matched the observational data, and the model simulated the EIC sequence well.