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Mediterranean extreme precipitation: a multi-model assessment

  • Leone Cavicchia
  • , Enrico Scoccimarro
  • , Silvio Gualdi
  • , Paola Marson
  • , Bodo Ahrens
  • , Ségolène Berthou
  • , Dario Conte
  • , Alessandro Dell’Aquila
  • , Philippe Drobinski
  • , Vladimir Djurdjevic
  • , Clotilde Dubois
  • , Clemente Gallardo
  • , Laurent Li
  • , Paolo Oddo
  • , Antonella Sanna
  • , Csaba Torma
  • Euro Mediterranean Center on Climage Change
  • Istituto Nazionale di Geofisica e Vulcanologia (INGV)
  • Ca’ Foscari University
  • Goethe University Frankfurt am Main
  • Sorbonne Université
  • ENEA Climate Modeling and Impacts
  • University of Belgrade
  • Centre de Météorologie Spatiale (Météo-France)
  • Universidad de Castilla-La Mancha
  • Centre for Maritime Research and Experimentation STO NATO (CMRE)
  • Abdus Salam International Centre for Theoretical Physics

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

28 Citations (Scopus)

Résumé

Exploiting the added value of the ensemble of high-resolution model simulations provided by the Med-CORDEX coordinated initiative, an updated assessment of Mediterranean extreme precipitation events as represented in different observational, reanalysis and modelling datasets is presented. A spatiotemporal characterisation of the long-term statistics of extreme precipitation is performed, using a number of different diagnostic indices. Employing a novel approach based on the timing of extreme precipitation events a number of physically consistent subregions are defined. The comparison of different diagnostics over the Mediterranean domain and physically homogeneous sub-domains is presented and discussed, focussing on the relative impact of several model configuration features (resolution, coupling, physical parameterisations) on the performance in reproducing extreme precipitation events. It is found that the agreement between the observed and modelled long-term statistics of extreme precipitation is more sensitive to the model physics, in particular convective parameterisation, than to other model configurations such as resolution and coupling.

langue originaleAnglais
Pages (de - à)901-913
Nombre de pages13
journalClimate Dynamics
Volume51
Numéro de publication3
Les DOIs
étatPublié - 1 août 2018
Modification externeOui

SDG des Nations Unies

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  1. SDG 13 - Action climatique
    SDG 13 Action climatique

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