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Journal of Southern Hemisphere Earth Systems Science Journal of Southern Hemisphere Earth Systems Science SocietyJournal of Southern Hemisphere Earth Systems Science Society
A journal for meteorology, climate, oceanography, hydrology and space weather focused on the southern hemisphere

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This article has been peer reviewed and accepted for publication. It is in production and has not been edited, so may differ from the final published form.

Characterization of influential mechanisms in the life cycle of fog: a study of two extreme events at airports in central-eastern Argentina

Melina Yabra 0000-0003-1614-778X, Matilde Nicolini, Luciano Vidal

Abstract

Reduced visibility due to fog is a major disruptor of global air traffic, leading to flight cancellations, delays, and diversions. To enhance forecasting and mitigate these losses, a thorough understanding of the physical mechanisms governing the life cycle of fog is essential. This study aims to advance this understanding in Argentina, focusing on events where fog simultaneously affects the operations of several airports and therefore, the entire air traffic of the country. Two specific cases, one with extreme duration and one that was unexpected by forecasters, from different seasons were analyzed using aeronautical meteorological observations (METAR), radiosondes, GOES-16 satellite images, and ERA-5 reanalysis data. Satellite techniques for detecting low clouds and fog were particularly effective at night but had limitations in distinguishing between fog and low stratus. The study identified multiple mechanisms operating at various scales that contribute to fog formation and dissipation. Both events were characterized by frontal passages—cold in the summer and warm in the winter—accompanied by associated temperature and moisture advections. Various local factors, despite similar synoptic conditions, influenced boundary layer processes at smaller scales, resulting in distinct fog behavior at each location. These findings highlight the complexity of fog forecasting, driven by multiple interacting processes across different scales, as well as the constraints of current observational systems and numerical models.

ES25006  Accepted 24 July 2025

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