The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps
Pedro M. M. Soares, João António Martins Careto, Rita M. Cardoso, Klaus Goergen, Eleni Katragkou, Stefan Sobolowski, Erika Coppola, Nikolina Ban, Danijel Belušić, Ségolène Berthou, Cécile Caillaud, Andreas Dobler, Øivind Hodnebrog, Στέργιος Κάρτσιος, Geert Lenderink, Torge Lorenz, Josipa Milovac, Hendrik Feldmann, Emanuela Pichelli, Heimo Truhetz, Marie Estelle Demory, Hylke de Vries, Kirsten Warrach‐Sagi, Klaus Keuler, Mario Raffa, Merja Tölle, Kevin Sieck, Sophie Bastin
Abstract
Abstract The increase in computational resources has enabled the emergence of multi-model ensembles of convection-permitting regional climate model (CPRCM) simulations at very high horizontal resolutions. An example is the CORDEX Flagship Pilot Study on “Convective phenomena at high resolution over Europe and the Mediterranean”, a set of kilometre-scale simulations over an extended Alpine domain. This first-of-its-kind multi-model ensemble, forced by the ERA-Interim reanalysis, can be considered a benchmark dataset. This study uses a recently proposed metric to determine the added value of all the available Flagship Pilot Study hindcast kilometre-scale simulations for maximum and minimum temperature. The analysis is performed using state-of-the-art gridded and station observations as ground truth. This approach directly assesses the added value between the high-resolution CPRCMs against their driving global simulations and coarser resolution RCM counterparts. Overall, models display some modest gains, but also considerable shortcomings are exhibited. In part, these deficiencies can be attributed to the assimilation of temperature observations into ERA-Interim. Although the gains for the use of kilometre-scale resolution for temperature are limited, the improvement of the spatial representation of local atmospheric circulations and land–atmosphere interactions can ultimately lead to gains, particularly in coastal areas.