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)

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

A chapter in High Performance Computing in Science and Engineering ‘13, 2013, pp 529-542 from Springer

Abstract: 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.

Keywords: Data Assimilation; Regional Climate Model; Atmospheric Boundary Layer; Land Surface Model; Zenith Total Delay (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02165-2_36

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DOI: 10.1007/978-3-319-02165-2_36

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