The crucial representation of deep convection for the cyclogenesis of Medicane Ianos

Abstract. This paper presents a model intercomparison study to improve the prediction and understanding of Mediterranean cyclone dynamics. It is based on a collective effort with five mesoscale models to look for a robust response among 10 numerical frameworks used in the community involved in the networking activity of the EU COST Action “MedCyclones”. The obtained multi-model, multi-physics ensemble is applied to the high-impact Medicane Ianos of September 2020 with a focus on the cyclogenesis phase, which was poorly forecast by numerical weather prediction systems. Models systematically perform better when initialised from operational IFS analysis data compared to the widely used ERA5 reanalysis. Reducing horizontal grid spacing from 10 km with parameterised convection to convection-permitting 2 km further improves the cyclone track and intensity. This highlights the critical role of deep convection during the early development stage. Higher resolution enhances convective activity, which improves the phasing of the cyclone with an upper-level jet and its subsequent intensification and evolution. This upscale impact of convection matches a conceptual model of upscale error growth in the midlatitudes, while it emphasises the crucial interplay between convective and baroclinic processes during medicane cyclogenesis. The 10 numerical frameworks show robust agreement but also reveal model specifics that should be taken into consideration, such as the need for a parameterisation of deep convection even at 2 km horizontal grid spacing in some models. While they require generalisation to other cases of Mediterranean cyclones, the results provide guidance for the next generation of global convection-permitting models in weather and climate.

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Publication Details

Journal
Weather and Climate Dynamics
Published
2024-09-30
DOI
https://doi.org/10.5194/wcd-5-1187-2024
Citations
18
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
5.09

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article

The crucial representation of deep convection for the cyclogenesis of Medicane Ianos

Elenio Avolio, Carlos Calvo‐Sancho, Πλάτων Πατλάκας, Suzanne L. Gray et al.
18 citations
Weather and Climate Dynamics
Climate variability and models
5.09
article

The crucial representation of deep convection for the cyclogenesis of Medicane Ianos

Elenio Avolio, Carlos Calvo‐Sancho, Πλάτων Πατλάκας, Suzanne L. Gray, Antonio Ricchi, Emanuele Silvio Gentile, Juan Jesús González‐Alemán, Mario Marcello Miglietta, Didier Ricard, Diego S. Carrió, Stavros Dafis, Emmanouil Flaounas, Claudio Sánchez, Ioannis Pytharoulis, Florian Pantillon, Silvio Davolio
article en
18 citations

Abstract

Abstract. This paper presents a model intercomparison study to improve the prediction and understanding of Mediterranean cyclone dynamics. It is based on a collective effort with five mesoscale models to look for a robust response among 10 numerical frameworks used in the community involved in the networking activity of the EU COST Action “MedCyclones”. The obtained multi-model, multi-physics ensemble is applied to the high-impact Medicane Ianos of September 2020 with a focus on the cyclogenesis phase, which was poorly forecast by numerical weather prediction systems. Models systematically perform better when initialised from operational IFS analysis data compared to the widely used ERA5 reanalysis. Reducing horizontal grid spacing from 10 km with parameterised convection to convection-permitting 2 km further improves the cyclone track and intensity. This highlights the critical role of deep convection during the early development stage. Higher resolution enhances convective activity, which improves the phasing of the cyclone with an upper-level jet and its subsequent intensification and evolution. This upscale impact of convection matches a conceptual model of upscale error growth in the midlatitudes, while it emphasises the crucial interplay between convective and baroclinic processes during medicane cyclogenesis. The 10 numerical frameworks show robust agreement but also reveal model specifics that should be taken into consideration, such as the need for a parameterisation of deep convection even at 2 km horizontal grid spacing in some models. While they require generalisation to other cases of Mediterranean cyclones, the results provide guidance for the next generation of global convection-permitting models in weather and climate.

Weather and Climate DynamicsVol. 5(3)
Universidad de Valladolid (ES), Agencia Estatal de Meteorología (ES), Met Office (GB), Centre National de la Recherche Scientifique (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), University of Milan (IT), National and Kapodistrian University of Athens (GR), Princeton University (US), Aristotle University of Thessaloniki (GR), University of L'Aquila (IT), ETH Zurich (CH), Centre National de Recherches Météorologiques (FR), Institute of Atmospheric Sciences and Climate (IT), Laboratoire d'Aérologie (FR), Météo-France (FR), National Observatory of Athens (GR), Hellenic Centre for Marine Research (GR), National Research Council (IT), Institut de Recherche pour le Développement (FR), Universitat de les Illes Balears (ES), University of Bari Aldo Moro (IT), University of Reading (GB)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 4%
Climate variability and models
5.09
DOIOpen Access PDFOpenAlex
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