Abstract: This study analyzes the temporal frequency characteristics of meteorological disaster warnings in Shanxi Province from 2018 to 2024, aiming to offer a scientific basis for enhancing the capabilities of meteorological disaster prevention and control.By conducting an in-depth analysis of 121, 231 meteorological warning records, advanced methods such as linear regression, moving average, and autoregressive analysis were employed to explore the spatiotemporal patterns of warning issuance and their correlations with different types of meteorological disasters.The results indicate that the frequency of warning issuance shows an annual upward trend. Summer (the second and third quarters) serves as the peak season, which is in line with the impacts of climate change. Moreover, significant correlations have been identified between heavy rainfall and urban waterlogging as well as geological disasters. The heatmap analysis reveals notable spatial disparities in warning frequencies across different cities, providing valuable insights for risk management. Based on these findings, the study recommends integrating complex climate models with socioeconomic factors to improve the precision and effectiveness of early warning systems. This research not only deepens our understanding of the characteristics of meteorological disaster warnings in Shanxi Province but also offers practical guidance for formulating more targeted disaster prevention and mitigation strategies.