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<p>Severe weather in airports represents a latent hazard to the population and economy. Meteorological hazards, such as hailstorms and thunderstorms, significantly impact airport operations worldwide, including in Mexico. In this context, the present research analyses the spatial and temporal characteristics of thunderstorms and hailstorms in 57 airports distributed throughout the Mexican territory. To this end, METAR and SPECI data were employed to obtain the general characteristics, frequency, and severity of thunderstorms and hailstorms from 1990 to 2020. Then, using the ERA5 reanalysis data, diverse thermodynamic, kinematic, and composite parameters of the pre-convective environments are analyzed. Furthermore, using the K-means clustering method, such environments were classified. In this sense, three types of thunderstorm environments in Mexican airports were identified, each one with particular characteristics: Coastal Thunderstorms (CoaT), Northeast Thunderstorms (NorT), and Continental Thunderstorms (ConT). Likewise, three hailstorm types were identified: Highlands Hailstorms (HigH), Coastal Hailstorms (CoaH), and Central-Region Hailstorms (CenH). This research provides valuable insights into the severe weather conditions at Mexican airports, which can be utilized to enhance their forecasting capabilities and mitigate associated losses. Additionally, they help characterize the environments in which these phenomena developed and generate a baseline that can be used in future studies to analyze the impact of climate change on severe weather.</p>

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Characterization of hazardous weather in Mexican airports based on in-situ observations and reanalysis data

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月30日

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  • Isaac Miranda-Alcántara,
  • José Francisco León-Cruz

摘要

Severe weather in airports represents a latent hazard to the population and economy. Meteorological hazards, such as hailstorms and thunderstorms, significantly impact airport operations worldwide, including in Mexico. In this context, the present research analyses the spatial and temporal characteristics of thunderstorms and hailstorms in 57 airports distributed throughout the Mexican territory. To this end, METAR and SPECI data were employed to obtain the general characteristics, frequency, and severity of thunderstorms and hailstorms from 1990 to 2020. Then, using the ERA5 reanalysis data, diverse thermodynamic, kinematic, and composite parameters of the pre-convective environments are analyzed. Furthermore, using the K-means clustering method, such environments were classified. In this sense, three types of thunderstorm environments in Mexican airports were identified, each one with particular characteristics: Coastal Thunderstorms (CoaT), Northeast Thunderstorms (NorT), and Continental Thunderstorms (ConT). Likewise, three hailstorm types were identified: Highlands Hailstorms (HigH), Coastal Hailstorms (CoaH), and Central-Region Hailstorms (CenH). This research provides valuable insights into the severe weather conditions at Mexican airports, which can be utilized to enhance their forecasting capabilities and mitigate associated losses. Additionally, they help characterize the environments in which these phenomena developed and generate a baseline that can be used in future studies to analyze the impact of climate change on severe weather.