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Reducing the Uncertainties of Climate Projections: High-Resolution Climate Modeling of Aerosol and Climate Interactions on the Regional Scale Using COSMO-ART: Interaction of Mineral Dust with Atmospheric Radiation over West-Africa

In: High Performance Computing in Science and Engineering ´16

Author

Listed:
  • Bernhard Vogel

    (Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Department Troposphere Research)

  • Hans-Juergen Panitz

    (Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Department Troposphere Research)

  • Heike Vogel

    (Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Department Troposphere Research)

Abstract

Aim of this project is to investigate the impact of aerosol in high resolution climate runs. At the moment aerosols and their interactions with radiation and clouds represent one of the major uncertainties in our understanding of the climate system as they can be described only roughly in coarse resolution global models. The online coupled comprehensive chemistry model system COSMO-ART already showed in several case studies the potential of closing this gap. In order to apply it on decadal climate time scales the use of high performance computing becomes a necessity. In this study we quantified the effect of replacing the aerosol climatology usually used in regional climate simulations with CLM by online calculated dust concentrations. The model domain covered the DEPARTURE region. Only radiation feedback was accounted for neglecting aerosol cloud interactions. Interactive dust improved the agreement of simulated precipitation in comparison with observations.

Suggested Citation

  • Bernhard Vogel & Hans-Juergen Panitz & Heike Vogel, 2016. "Reducing the Uncertainties of Climate Projections: High-Resolution Climate Modeling of Aerosol and Climate Interactions on the Regional Scale Using COSMO-ART: Interaction of Mineral Dust with Atmosphe," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ´16, pages 601-607, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-47066-5_41
    DOI: 10.1007/978-3-319-47066-5_41
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