Application of the Regional Climate Model CCLM for Studies on Urban Climate Change in Stuttgart and Decadal Climate Prediction in 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 ’15, 2016, pp 593-606 from Springer

Abstract: Abstract To study various aspects of the climate on the regional scale, IMK-TRO employs the regional climate model (RCM) COSMO-CLM on the High Performance Computing Systems (HPC) CRAY XE6 and CRAY XE40, operated by the HLRS. The research focus is on decadal predictability, extremes and high resolution experiments within individual research projects (MiKlip, KLIMOPASS and KLIWA). Also within MiKlip the effects of soil and vegetation processes on decadal climate predictions are investigated using a via OASIS3-MCT coupled system of COSMO-CLM and the Soil-Vegetation-Atmosphere-Transfer model (SVAT) VEG3D. Ensembles are built with different techniques to quantify the uncertainty of climate projections and predictions and to assess the quality of the models. KLIMOPASS includes projections of the future climate, considering periods up to the mid of the twenty-first century. High resolution (2.8 km) experiments are performed for the State of Baden–Württemberg to study extremes and their potential added value. Altogether simulations for Germany, Europe, and Africa are performed with varying temporal and spatial resolutions from 50 to 2.8 km. The required Wall-Clock-Time (WCT) reach from 100 to 650 node-hours per simulated year.

Keywords: Regional Climate Model; Skill Score; Prediction Ensemble; West African Monsoon; Predictive Skill (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-24633-8_38

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