TY - JOUR
T1 - Mediterranean extreme precipitation
T2 - a multi-model assessment
AU - Cavicchia, Leone
AU - Scoccimarro, Enrico
AU - Gualdi, Silvio
AU - Marson, Paola
AU - Ahrens, Bodo
AU - Berthou, Ségolène
AU - Conte, Dario
AU - Dell’Aquila, Alessandro
AU - Drobinski, Philippe
AU - Djurdjevic, Vladimir
AU - Dubois, Clotilde
AU - Gallardo, Clemente
AU - Li, Laurent
AU - Oddo, Paolo
AU - Sanna, Antonella
AU - Torma, Csaba
N1 - Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - Extreme precipitation
KW - Mediterranean climate
KW - Regional climate modelling
U2 - 10.1007/s00382-016-3245-x
DO - 10.1007/s00382-016-3245-x
M3 - Article
AN - SCOPUS:84976517387
SN - 0930-7575
VL - 51
SP - 901
EP - 913
JO - Climate Dynamics
JF - Climate Dynamics
IS - 3
ER -