High Resolution Climate Modelling with the CCLM Regional Model for Europe and Africa

H.-J. Panitz (), G. Schädler, M. Breil, S. Mieruch, H. Feldmann, K. Sedlmeier, N. Laube and M. Uhlig
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H.-J. Panitz: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
G. Schädler: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
M. Breil: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
S. Mieruch: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
H. Feldmann: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
K. Sedlmeier: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
N. Laube: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
M. Uhlig: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)

A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 561-574 from Springer

Abstract: Abstract The High Performance Computing System (HPC) CRAY XE6 operated by HLRS is a powerful tool to study various aspects of the regional climate. Employing the regional climate model (RCM) COSMO-CLM, the research focus of IMK-TRO is on the regional atmospheric water cycle, especially on extremes, and different goals are pursued in individual research projects (MiKlip, KLIMOPASS and KLIWA). The simulation regions comprise Germany, Europe, and Africa with resolutions varying from 50 km to 2.8 km. Furthermore, different time spans are investigated. Decadal simulations are performed to assess decadal regional climate predictability. Projections of the future climate consider periods up to the end of the twenty-first century. To quantify the uncertainty of climate projections and predictions as well as the quality of the models, ensembles are built by different techniques. The Soil-Vegetion-Atmosphere-Transfer model (SVAT) VEG3D is coupled to COSMO-CLM via OASIS3-MCT to investigate the effect of soil and vegetation processes on decadal climate predictions. High resolution (2.8 km) experiments are performed for the State of Baden–Württemberg to study the potential added value and extremes. Computational capacities from 100 to 650 node–hours per simulated year (Wall Clock Time) are required for these simulations.

Keywords: Regional Climate Model; Message Passing Interface; West African Monsoon; Predictive Skill; Decadal Prediction (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10810-0_37

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DOI: 10.1007/978-3-319-10810-0_37

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