%0 journal article
%@ 1991-959X
%A Katragkou, E., Garcia-Diez, M., Vautard, R., Sobolowski, S., Zanis, P., Alexandri, G., Cardoso, R.M., Colette, A., Fernandez, J., Gobiet, A., Goergen, K., Karacostas, T., Knist, S., Mayer, S., Soares, P.M.M., Pytharoulis, I., Tegoulias, I., Tsikerdekis, A., Jacob, D.

%D 2015
%J Geoscientific Model Development
%N 3
%P 603-618 
%R doi:10.5194/gmd-8-603-2015
%T Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble
%U https://doi.org/10.5194/gmd-8-603-2015
3 
%X Maximum winter cold biases are over northeastern Europe (-2.8 C); this location suggests that land–atmosphere rather than cloud–radiation interactions are to blame. Precipitation is overestimated in summer by all model configurations, especially the higher quantiles which are associated with summertime deep cumulus convection. The largest precipitation biases are produced by the Kain–Fritsch convection scheme over the Mediterranean. Precipitation biases in winter are lower than those for summer in all model configurations (15–30 %). The results of this study indicate the importance of evaluating not only the basic climatic parameters of interest for climate change applications (temperature and precipitation), but also other components of the energy and water cycle, in order to identify the sources of systematic biases, possible compensatory or masking mechanisms and suggest pathways for model improvement.