EMS Annual Meeting Abstracts
Vol. 21, EMS2024-84, 2024, updated on 05 Jul 2024
https://doi.org/10.5194/ems2024-84
EMS Annual Meeting 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Florian Pantillon1, Silvio Davolio2,3, Elenio Avolio4, Carlos Calvo-Sancho5, Diego S Carrió6, Stavros Dafis7, Emmanouil Flaounas8, Emanuele Silvio Gentile9, Juan Jesus Gonzalez-Aleman10, Suzanne Gray11, Mario Marcello Miglietta12,13, Platon Patlakas14, Ioannis Pytharoulis15, Didier Ricard16, Antonio Ricchi17, and Claudio Sanchez18
Florian Pantillon et al.
  • 1Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, IRD, Toulouse, France
  • 2Department of Earth Sciences, Università degli Studi di Milano, Milan, Italy
  • 3Institute of Atmospheric Sciences and Climate, National Research Council of Italy, CNR-ISAC, Bologna, Italy
  • 4Institute of Atmospheric Sciences and Climate, National Research Council of Italy, CNR-ISAC, Lamezia Terme, Italy
  • 5Department of Applied Mathematics, Faculty of Computer Engineering, Universidad de Valladolid, Spain
  • 6Meteorology Group, Department of Physics, University of the Balearic Islands, Palma, Spain
  • 7National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Athens, Greece
  • 8Institute for Atmospheric and Climate Science, ETH, Zurich, Switzerland
  • 9Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey, United States
  • 10Department of Development and Applications, Spanish State Meteorological Agency, AEMET, Madrid, Spain
  • 11Department of Meteorology, University of Reading, Reading, United Kingdom
  • 12Department of Earth and Geoenvironmental Sciences, University of Bari, Bari, Italy
  • 13Institute of Atmospheric Sciences and Climate, National Research Council of Italy, CNR-ISAC, Padua, Italy
  • 14Department of Physics, National and Kapodistrian University of Athens, Athens, Greece
  • 15Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 16Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
  • 17Department of Physical and Chemical Sciences/CETEMPS, University of L'Aquila, L'Aquila, Italy
  • 18MetOffice, Exeter, United Kingdom

The 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 ten 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 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 ten numerical frameworks show robust agreement but also reveal model specifics that should be taken into consideration, such as the need for a parameterization 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.

How to cite: Pantillon, F., Davolio, S., Avolio, E., Calvo-Sancho, C., Carrió, D. S., Dafis, S., Flaounas, E., Gentile, E. S., Gonzalez-Aleman, J. J., Gray, S., Miglietta, M. M., Patlakas, P., Pytharoulis, I., Ricard, D., Ricchi, A., and Sanchez, C.: The crucial representation of deep convection for the cyclogenesis of medicane Ianos, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-84, https://doi.org/10.5194/ems2024-84, 2024.