caa a22 4500 605474362 CHVBK 20210128100347.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00382-014-2323-1 doi (NATIONALLICENCE)springer-10.1007/s00382-014-2323-1 The role of regional climate model setup in simulating two extreme precipitation events in the European Alpine region [Elektronische Daten] [Nauman Awan, Andreas Gobiet, Martin Suklitsch] In this study we have investigated the role of domain settings and model's physics in simulating two extreme precipitation events. Four regional climate models, all driven with a re-analysis dataset were used to create an ensemble of 61 high-resolution simulations by varying physical parameterization schemes, domain sizes, nudging and nesting techniques. The two discussed events are three-day time slices taken from approximately 15-months long climate simulations. The results show that dynamical downscaling significantly improves the spatial characteristics such as correlation, variability as well as location and intensity of maximum precipitation. Spatial variability, which is underestimated by most of the simulations can be improved by choosing suitable vertical resolution, convective and microphysics scheme. The results further suggest that for studies focusing on extreme precipitation events relatively small domains or nudging could be advantageous. However, a final conclusion on this issue would be premature, since only two extreme precipitation events are considered. Springer-Verlag Berlin Heidelberg, 2014 RCM errors nationallicence Extreme precipitationevents nationallicence EuropeanAlpine region nationallicence Flash flooding nationallicence Awan Nauman Department of Water, Atmosphere and Environment, Institute of Meteorology, University of Natural Resources and Applied Life Sciences, Peter-Jordan Strasse 85, 1190, Vienna, Austria aut Gobiet Andreas Regional and Local Climate Modeling and Analysis Research Group, Wegener Center for Climate and Global Change and Institute for Geophysics, Astrophysics and Meteorology, Institute of Physics, University of Graz, Graz, Austria aut Suklitsch Martin Division Data, Methods, Models, Central Institute for Meteorology and Geodynamics, Hohe Warte 38, 1190, Vienna, Austria aut Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 299-314 0930-7575 44:1-2<299 2015 44 382 https://doi.org/10.1007/s00382-014-2323-1 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/s00382-014-2323-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Awan Nauman Department of Water, Atmosphere and Environment, Institute of Meteorology, University of Natural Resources and Applied Life Sciences, Peter-Jordan Strasse 85, 1190, Vienna, Austria aut NATIONALLICENCE 700 1- Gobiet Andreas Regional and Local Climate Modeling and Analysis Research Group, Wegener Center for Climate and Global Change and Institute for Geophysics, Astrophysics and Meteorology, Institute of Physics, University of Graz, Graz, Austria aut NATIONALLICENCE 700 1- Suklitsch Martin Division Data, Methods, Models, Central Institute for Meteorology and Geodynamics, Hohe Warte 38, 1190, Vienna, Austria aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 299-314 0930-7575 44:1-2<299 2015 44 382