TY - GEN A1 - Früh, Barbara A1 - Will, Andreas A1 - Castro, Christopher T1 - Editorial: Recent developments in Regional Climate Modelling with COSMO‑CLM T2 - Meteorologische Zeitschrift N2 - The COSMO model in CLimate Model (COSMO-CLM or CCLM) is one of the most advanced Regional Climate Model with respect to its model dynamics, numeric, and physical parameterization options. It is widely used for climate research, climate mitigation and adaptation studies, as the model is specifically designed for simulation at a convective-permitting, meso-γ spatial resolution on the order of 1 km which: • has a well-tested range of applicability, encompassing operational numerical weather prediction (COSMO), regional climate modelling for retrospective and future projection (COSMO-CLM), idealised studies (ITC) and the dispersion of trace gases and aerosol (ART) on weather forecast to interannual time scales, • was successfully applied in several regions of the world, and especially widely within Europe • has widely been used to downscale the results of global climate models and, • is well documented. KW - COSMO-CLM KW - Regional Climate Model KW - Climate KW - Climate Change Y1 - 2016 U6 - https://doi.org/10.1127/metz/2016/0788 SN - 1610-1227 VL - 25 IS - 2 SP - 119 EP - 120 ER - TY - GEN A1 - Früh, Barbara A1 - Will, Andreas A1 - Castro, Christopher T1 - Editorial: Recent developments in Regional Climate 1 Modelling with COSMO-CLM, Part 2 T2 - Meteorologische Zeitschrift N2 - The special issue “Recent developments in Regional Climate Modelling with COSMO-CLM” aims to present 7 model developments of high relevance for the climate mode, model evaluation of new model versions and results 8 of model application down to local scale. In the first part, published in May 2016 (http://www.schweizerbart.de/ 9 papers/metz/list/25#issue2) eight articles are presented. In this second part further key aspects of high resolution 10 regional climate modelling are addressed in five articles. KW - COSMO-CLM KW - Regional Climate Model KW - Climate KW - Climate Change Y1 - 2016 U6 - https://doi.org/10.1127/metz/2016/0823 SN - 1610-1227 VL - 25 IS - 5 SP - S. 529 ER -