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

Bernhard Vogel (), Hans-Juergen Panitz () and Heike Vogel ()
Additional contact information
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

A chapter in High Performance Computing in Science and Engineering ´16, 2016, pp 601-607 from Springer

Abstract: 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.

Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-47066-5_41

Ordering information: This item can be ordered from
http://www.springer.com/9783319470665

DOI: 10.1007/978-3-319-47066-5_41

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().