Ice Multiplication Modulates the Medicane's Track and Thermodynamic Evolution

Abstract Medicanes are high‐impact weather systems in the Mediterranean region, associated with floodings, severe damage and human casualties. While there has been continuous effort to understand the dynamic aspects of these systems, little is known about the underlying cloud‐scale processes, which cannot be resolved explicitly, consisting a notorious source of uncertainty in atmospheric models. In this study a numerical model with comprehensive Secondary Ice Production (SIP) descriptions is used to investigate the impact of SIP on the evolution of medicane Qendresa. SIP refers to processes that can generate small cloud‐ice crystals in concentrations exceeding those produced by primary ice nucleation, promoting cloud glaciation and precipitation. However, its effects on medicane thermodynamics have not been considered before. Our results indicate that improving SIP representation in the model leads to a more accurate prediction of the cyclone track, resulting in improved precipitation patterns, particularly in the regions where extreme precipitation is observed.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-02-04
DOI
https://doi.org/10.1029/2025gl120145
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

Ice Multiplication Modulates the Medicane's Track and Thermodynamic Evolution

Paraskevi Georgakaki, Helena A. Flocas, Πλάτων Πατλάκας, Ioannis Chaniotis et al.
Geophysical Research Letters
Meteorological Phenomena and Simulations
article

Ice Multiplication Modulates the Medicane's Track and Thermodynamic Evolution

Paraskevi Georgakaki, Helena A. Flocas, Πλάτων Πατλάκας, Ioannis Chaniotis, Foteini Floka, Georgia Sotiropoulou, Athanasios Nenes
article en

Abstract

Abstract Medicanes are high‐impact weather systems in the Mediterranean region, associated with floodings, severe damage and human casualties. While there has been continuous effort to understand the dynamic aspects of these systems, little is known about the underlying cloud‐scale processes, which cannot be resolved explicitly, consisting a notorious source of uncertainty in atmospheric models. In this study a numerical model with comprehensive Secondary Ice Production (SIP) descriptions is used to investigate the impact of SIP on the evolution of medicane Qendresa. SIP refers to processes that can generate small cloud‐ice crystals in concentrations exceeding those produced by primary ice nucleation, promoting cloud glaciation and precipitation. However, its effects on medicane thermodynamics have not been considered before. Our results indicate that improving SIP representation in the model leads to a more accurate prediction of the cyclone track, resulting in improved precipitation patterns, particularly in the regions where extreme precipitation is observed.

Geophysical Research LettersVol. 53(3)
National and Kapodistrian University of Athens (GR), École Polytechnique Fédérale de Lausanne (CH), Foundation for Research and Technology Hellas (GR), Leipzig University (DE)
Life below water
Openalex Percentile: Top 75%
Meteorological Phenomena and Simulations
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