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High Performance Computing in Science and Engineering ´16 pp 577–587Cite as

High-Resolution Climate Projections Using the WRF Model on the HLRS

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Abstract

The latest generation of climate projections for the twenty-first century are build on new emission scenarios based on Representative Concentration Pathways (RCPs). Within the world wide coordinated effort of the Coupled Model Intercomparison Project Phase 5 (CMIP5), their impact on climate is simulated with global general circulation models (GCMs) of the climate system with a spatial grid of 100–200 km resolution. High resolution information from a robust multi-model ensemble on possible ranges of future climate changes is essential for climate impact research and as background information for policy and economy. Within the Coordinated Regional Downscaling EXperiments (CORDEX), the global climate simulations are downscaled for most continental regions, e.g. a unique set of high resolution climate change simulations for Europe is currently established. This project contributes to this ensemble downscaling five GCM simulations from 1958 to 2100 with the Weather Research and Forecasting (WRF) model. The WRF simulations are currently performed with 0.44∘ and 0.11∘ resolution on the CRAY XC40 at the High Performance Computing Center Stuttgart (HLRS).

First results of the simulations on the 0.44∘ grid for the “historical” period from 1971–2000 and as comparison for two different future scenarios from 2071–2099 show an increase of the average temperature by 2–4 ∘C with respect to the chosen emission scenario, especially in the southeastern and northeastern part of Europe. In the future scenario where a moderate Greenhouse Gas emission increase is projected, the annual average precipitation in Germany is indicated to experience a decrease by 50–100 l/m2. Considering the future scenario with a high projected emission increase, only marginal changes of the annual average precipitation are simulated.

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Acknowledgements

This work is part of the ReKliEs-De project funded by the BMBF (Federal Ministry for Education and Research) and the Research Unit 1695 funded by the DFG (Deutsche Forschungsgemeinschaft). We are thankful for the support from the staff of the DKRZ (Deutsches Klimarechenzentrum), to be able to access GCM data. Computational Resources for the model simulations on the HLRS CRAY XC40 within WRFCLIM were kindly provided by HLRS. We would like to thank the staff for their great support.

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Authors and Affiliations

  1. Institute of Physics and Meteorology, University of Hohenheim, Garbenstrasse 30, 70599, Stuttgart, Germany

    Viktoria Mohr, Kirsten Warrach-Sagi, Thomas Schwitalla, Hans-Stefan Bauer & Volker Wulfmeyer

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  1. Viktoria Mohr
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  2. Kirsten Warrach-Sagi
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  3. Thomas Schwitalla
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  4. Hans-Stefan Bauer
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  5. Volker Wulfmeyer
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Corresponding author

Correspondence to Viktoria Mohr .

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Editors and Affiliations

  1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Wolfgang E. Nagel

  2. Abteilung für Angewandte Mathematik, Universität Freiburg, Freiburg, Germany

    Dietmar H. Kröner

  3. Höchstleistungsrechenzentrum Stuttgart (HLRS), Universität Stuttgart, Stuttgart, Germany

    Michael M. Resch

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© 2016 Springer International Publishing AG

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Mohr, V., Warrach-Sagi, K., Schwitalla, T., Bauer, HS., Wulfmeyer, V. (2016). High-Resolution Climate Projections Using the WRF Model on the HLRS. In: Nagel, W.E., Kröner, D.H., Resch, M.M. (eds) High Performance Computing in Science and Engineering ´16. Springer, Cham. https://doi.org/10.1007/978-3-319-47066-5_39

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