Regional Climate Simulations with COSMO-CLM: Ensembles, Very High Resolution and Paleoclimate

G. Schädler (), H.-J. Panitz, E. Christner, H. Feldmann, M. Karremann and N. Laube
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G. Schädler: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
H.-J. Panitz: Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung Forschungsbereich Troposphäre (IMK-TRO)
E. Christner: 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)
M. Karremann: 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)

A chapter in High Performance Computing in Science and Engineering ' 17, 2018, pp 411-429 from Springer

Abstract: Abstract The IMK-TRO (KIT) presents in the HLRS annual report for 2016–2017 projects and their results using the CRAY XC40 “Hazel Hen”. The research focuses on the very high resolution regional climate simulations including the modeling of land surface processes and urban climate, the generation of ensemble projections, and regional paleoclimate (PALMOD). The simulations are performed with the regional climate model (RCM) COSMO-CLM (CCLM) and cover spatial resolutions from 50 to 2.8 km. Within the projects, the standard CCLM is enhanced; for the analysis of the impact of different soil-vegetation transfer schemes (SVATs) VEG3D is coupled via OASIS3-MCT to CCLM. For the PALMOD project, a special isotope-enabled version CCLMiso is used. To highlight the added value, the results of the higher resolution climate predictions are compared to those of simulations with coarser resolutions. In addition, the impact of different global driving data sets is investigated. Climate projections are performed for two future time slices, 2021–2050 and 2071–2100. The urban climate and its change are also investigated using very high resolution simulations to enable the energetic optimisation of buildings. The required Wall-Clock-Times (WCT) range from 9 to 2000 node-hours per simulated year.

Date: 2018
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DOI: 10.1007/978-3-319-68394-2_24

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