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High-Resolution Climate Predictions and Short-Range Forecasts to Improve the Process Understanding and the Representation of Land-Surface Interactions in the WRF Model in Southwest Germany (WRFCLIM)

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High Performance Computing in Science and Engineering ‘13

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Abstract

The application of numerical modeling for climate projections is an important task in scientific research since they are the most promising means to gain insight in possible future climate changes. The quality of the prepared global projections has been continuously improved in recent years, enabled by more powerful supercomputers as well as advanced numerical and physical schemes (e.g. [1–3]). During the last two decades, various regional climate models (RCM) have been developed and applied for simulating the present and future climate of Europe.

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Notes

  1. 1.

    RU 1695 Agricultural Landscapes under Climate Change Processes and Feedbacks on a Regional Scale: An objective is the development and verification of a convection-permitting regional climate model system based on WRF-NOAH including an advanced representation of land-surface-vegetation-atmosphere feedback processes with emphasis on the water and energy cycling between croplands, atmospheric boundary layer and the free atmosphere.

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Author information

Authors and Affiliations

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

    Kirsten Warrach-Sagi, Hans-Stefan Bauer, Oliver Branch, Josipa Milovac, Thomas Schwitalla & Volker Wulfmeyer

Authors
  1. Kirsten Warrach-Sagi
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  2. Hans-Stefan Bauer
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  3. Oliver Branch
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  4. Josipa Milovac
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  5. Thomas Schwitalla
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  6. Volker Wulfmeyer
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Corresponding author

Correspondence to Kirsten Warrach-Sagi .

Editor information

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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© 2013 Springer International Publishing Switzerland

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Warrach-Sagi, K., Bauer, HS., Branch, O., Milovac, J., Schwitalla, T., Wulfmeyer, V. (2013). High-Resolution Climate Predictions and Short-Range Forecasts to Improve the Process Understanding and the Representation of Land-Surface Interactions in the WRF Model in Southwest Germany (WRFCLIM). In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘13. Springer, Cham. https://doi.org/10.1007/978-3-319-02165-2_36

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