%0 journal article
%@ 0930-7575
%A Molina, M.O.,Careto, J.M.,Gutiérrez, C.,Sánchez, E.,Goergen, K.,Sobolowski, S.,Coppola, E.,Pichelli, E.,Ban, N.,Belus̆ić, D.,Short, C.,Caillaud, C.,Dobler, A.,Hodnebrog, Ø.,Kartsios, S.,Lenderink, G.,de Vries, H.,Göktürk, O.,Milovac, J.,Feldmann, H.,Truhetz, H.,Demory, M.E.,Warrach-Sagi, K.,Keuler, K.,Adinolfi, M.,Raffa, M.,Tölle, M.,Sieck, K.,Bastin, S.,Soares, P.M.M.

%D 2024
%J Climate Dynamics
%N 
%P  
%R doi:10.1007/s00382-024-07257-4
%T The added value of simulated near-surface wind speed over the Alps from a km-scale multimodel ensemble
%U https://doi.org/10.1007/s00382-024-07257-4
 
%X The advancement of computational resources has allowed researchers to run convection-permitting regional climate model (CPRCM) simulations. A pioneering effort promoting a multimodel ensemble of such simulations is the CORDEX Flagship Pilot Studies (FPS) on “Convective Phenomena over Europe and the Mediterranean” over an extended Alps region. In this study, the Distribution Added Value metric is used to determine the improvement of the representation of all available FPS hindcast simulations for the daily mean near-surface wind speed. The analysis is performed on normalized empirical probability distributions and considers station observation data as the reference. The use of a normalized metric allows for spatial comparison among the different regions (coast and inland), altitudes and seasons. This approach permits a direct assessment of the added value between the CPRCM simulations against their global driving reanalysis (ERA-Interim) and respective coarser resolution regional model counterparts. In general, the results show that CPRCMs add value to their global driving reanalysis or forcing regional model, due to better-resolved topography or through better representation of ocean-land contrasts. However, the nature and magnitude of the improvement in the wind speed representation vary depending on the model, the season, the altitude, or the region. Among seasons, the improvement is usually larger in summer than winter. CPRCMs generally display gains at low and medium-range altitudes. In addition, despite some shortcomings in comparison to ERA-Interim, which can be attributed to the assimilation of wind observations on the coast, the CPRCMs outperform the coarser regional climate models, both along the coast and inland.