Mediterranean extreme precipitation: a multi-model assessment

被引:0
|
作者
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
机构
[1] Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC),Institute for Atmospheric and Environmental Sciences
[2] Ca’ Foscari University,Institute of Meteorology, Faculty of Physics
[3] Istituto Nazionale di Geofisica e Vulcanologia (INGV),Departamento de Ciencias Ambientales
[4] Centre for Maritime Research and Experimentation STO NATO (CMRE),undefined
[5] Goethe University Frankfurt am Main,undefined
[6] IPSL/Laboratoire de Meteorologie Dynamique,undefined
[7] Ecole Polytechnique,undefined
[8] ENS,undefined
[9] UPMC,undefined
[10] ENPC,undefined
[11] CNRS,undefined
[12] Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC),undefined
[13] ENEA Climate Modeling and Impacts,undefined
[14] University of Belgrade,undefined
[15] Météo France,undefined
[16] Universidad de Castilla-La Mancha,undefined
[17] Abdus Salam International Centre for Theoretical Physics,undefined
来源
Climate Dynamics | 2018年 / 51卷
关键词
Extreme precipitation; Mediterranean climate; Regional climate modelling;
D O I
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中图分类号
学科分类号
摘要
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.
引用
收藏
页码:901 / 913
页数:12
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