EMS Annual Meeting Abstracts
Vol. 23, EMS2026-467, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-467
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 10 Sep, 15:00–15:15 (CEST)| Room Expedition
Past, Present and Future precipitation extremes driven by Mediterranean cyclones in a regional large ensemble
Alice Portal1, Giuseppe Zappa1, Salvatore Pascale2, Federico Grazzini3,1, Cristina Iacomino4,5, Paolo Ghinassi6,1, Marcello Iotti7, Claudia Simolo1, and Marco Burderi1
Alice Portal et al.
  • 1Institute of Atmospheric Sciences and Climate (CNR-ISAC), Bologna, Italy (a.portal@isac.cnr.it)
  • 2Department of Physics and Astronomy, University of Bologna, Bologna, Italy
  • 3Arpae-SIMC, Regione Emilia-Romagna, Bologna, Italy
  • 4Fondazione Bruno Kessler, Trento, Italy
  • 5Università di Trento, Trento, Italy
  • 6Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy
  • 7Centro Euro-Mediterraneo sui Cambiamenti Climatici, Caserta, Italy

Extreme event attribution aims to understand the role of climate change in impactful weather events. One method to achieve this consists in comparing two sets of weather instances selected as ‘circulation analogues’ of a given event, one representing the past and the other the present climate (or present and future). Differences between climate periods show how climate change affects the hazards associated with a specific circulation.
In this work, we focus on a selection of high-impact, cyclone-driven precipitation extremes that have affected Italy during the recent climatological period. These events are selected to span a range of distinct synoptic conditions known to produce extreme precipitation [1]. Using regional large-ensemble climate projections from the CRCM5 model under the RCP8.5 scenario, we identify, for each observed event, its best analogue in the model (BAM). The BAMs are then used to conduct attribution analyses within a perfect model approach, that is, by searching for model analogues of simulated rather than observed events.  In this framework, individual ensemble members are treated as pseudo-observations, allowing us to assess the robustness of analogue-based attribution studies based on single realization datasets, such as reanalyses or observational records. Furthermore, the use of a large ensemble enables a comprehensive assessment of present and future changes in cyclone-driven precipitation over the central Mediterranean region, capturing variations in the mean and tails of the precipitation distribution.
Our results provide new insights into the influence of anthropogenic climate change on cyclone-driven precipitation in Italy, and into the methodological robustness of attribution studies in complex regional settings such as the Mediterranean. We find that attribution outcomes vary substantially depending on the specific event considered. In particular, intense cyclones in the northern Mediterranean show an increase in associated precipitation under climate change, whereas weaker cyclones at lower latitudes become shallower in the future climate and are, on average, associated with reduced precipitation. The most extreme events linked to these lower-latitude cyclones show no change in intensity. Finally, by examining the sensitivity of our results to ensemble size, we find that robust precipitation signals typically emerge when each climate period is represented by approximately 100 years of data.

[1] Iacomino, C., S. Pascale, G. Zappa, et al. 2025. “ A Classification of High-Risk Atmospheric Circulation Patterns for Italian Precipitation Extremes.” International Journal of Climatology e70118. https://doi.org/10.1002/joc.70118.

How to cite: Portal, A., Zappa, G., Pascale, S., Grazzini, F., Iacomino, C., Ghinassi, P., Iotti, M., Simolo, C., and Burderi, M.: Past, Present and Future precipitation extremes driven by Mediterranean cyclones in a regional large ensemble, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-467, https://doi.org/10.5194/ems2026-467, 2026.