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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)

In: High Performance Computing in Science and Engineering ‘13

Author

Listed:
  • Kirsten Warrach-Sagi

    (University of Hohenheim, Institute of Physics and Meteorology)

  • Hans-Stefan Bauer

    (University of Hohenheim, Institute of Physics and Meteorology)

  • Oliver Branch

    (University of Hohenheim, Institute of Physics and Meteorology)

  • Josipa Milovac

    (University of Hohenheim, Institute of Physics and Meteorology)

  • Thomas Schwitalla

    (University of Hohenheim, Institute of Physics and Meteorology)

  • Volker Wulfmeyer

    (University of Hohenheim, Institute of Physics and Meteorology)

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.

Suggested Citation

  • Kirsten Warrach-Sagi & Hans-Stefan Bauer & Oliver Branch & Josipa Milovac & Thomas Schwitalla & Volker Wulfmeyer, 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)," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ‘13, edition 127, pages 529-542, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02165-2_36
    DOI: 10.1007/978-3-319-02165-2_36
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