caa a22 4500 605472599 CHVBK 20210128100339.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00382-015-2529-x doi (NATIONALLICENCE)springer-10.1007/s00382-015-2529-x An RCM multi-physics ensemble over Europe: multi-variable evaluation to avoid error compensation [Elektronische Daten] [Markel García-Díez, Jesús Fernández, Robert Vautard] Regional Climate Models are widely used tools to add detail to the coarse resolution of global simulations. However, these are known to be affected by biases. Usually, published model evaluations use a reduced number of variables, frequently precipitation and temperature. Due to the complexity of the models, this may not be enough to assess their physical realism (e.g. to enable a fair comparison when weighting ensemble members). Furthermore, looking at only a few variables makes difficult to trace model errors. Thus, in many previous studies, these biases are described but their underlying causes and mechanisms are often left unknown. In this work the ability of a multi-physics ensemble in reproducing the observed climatologies of many variables over Europe is analysed. These are temperature, precipitation, cloud cover, radiative fluxes and total soil moisture content. It is found that, during winter, the model suffers a significant cold bias over snow covered regions. This is shown to be related with a poor representation of the snow-atmosphere interaction, and is amplified by an albedo feedback. It is shown how two members of the ensemble are able to alleviate this bias, but by generating a too large cloud cover. During summer, a large sensitivity to the cumulus parameterization is found, related to large differences in the cloud cover and short wave radiation flux. Results also show that small errors in one variable are sometimes a result of error compensation, so the high dimensionality of the model evaluation problem cannot be disregarded. Springer-Verlag Berlin Heidelberg, 2015 WRF nationallicence Multi-physics nationallicence Model evaluation nationallicence Radiation nationallicence Soil moisture nationallicence CERES nationallicence E-OBS nationallicence GLDAS nationallicence CORDEX nationallicence EURO-CORDEX nationallicence García-Díez Markel Unitat de Dinàmica i Impacte Climàtic (UDIC), Institut Català de Ciències del Clima, 08005, Barcelona, Catalonia, Spain aut Fernández Jesús Grupo de Meteorología, Dept. Matemática Aplicada y Ciencias de la Computación, Univ. de Cantabria, Avda. de los Castros, s/n, 39005, Santander, Spain aut Vautard Robert Laboratoire des Sciences du Climat et de l'Environnement, Institute Pierre-Simon-Laplace, CEA, CNRS, UVSQ, Gif sur Yvette, France aut Climate Dynamics Springer Berlin Heidelberg 45/11-12(2015-12-01), 3141-3156 0930-7575 45:11-12<3141 2015 45 382 https://doi.org/10.1007/s00382-015-2529-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00382-015-2529-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- García-Díez Markel Unitat de Dinàmica i Impacte Climàtic (UDIC), Institut Català de Ciències del Clima, 08005, Barcelona, Catalonia, Spain aut NATIONALLICENCE 700 1- Fernández Jesús Grupo de Meteorología, Dept. Matemática Aplicada y Ciencias de la Computación, Univ. de Cantabria, Avda. de los Castros, s/n, 39005, Santander, Spain aut NATIONALLICENCE 700 1- Vautard Robert Laboratoire des Sciences du Climat et de l'Environnement, Institute Pierre-Simon-Laplace, CEA, CNRS, UVSQ, Gif sur Yvette, France aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 45/11-12(2015-12-01), 3141-3156 0930-7575 45:11-12<3141 2015 45 382