IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-23869-7_34.html

The Transport of Mineral Dust Towards Hurricane Helene (2006)

In: High Performance Computing in Science and Engineering '11

Author

Listed:
  • Juliane Schwendike

    (Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung)

  • Sarah Jones

    (Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung)

  • Heike Vogel

    (Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung)

  • Bernhard Vogel

    (Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung)

Abstract

Significant amounts of mineral dust were transported into the vicinity of the developing tropical storm Helene between 9 to 14 September 2006. A number of different dynamical features contributed to the emission and the transport of dust towards Helene. The aim of this study is to investigate the transport of mineral dust towards Hurricane Helene. A particular focus is placed on the role of the dust radiation feedback. We use the model system COSMO-ART (Aerosols and Reactive Trace gases) in which the dust emission and dust transport as well as the radiation feedback are implemented. With the help of COSMO-ART we analyse the radiative effect of the dust on the convective systems and their environment. Model runs with a horizontal resolution of 28 km were conducted with and without the radiation feedback of the dust. Based on these model runs, we were able to distinguish between dry, dry and dusty, as well as dusty and moist air. The transport of mineral dust is analysed by calculating trajectories. We aim to assess how the dust influences the environment of the developing tropical storm Helene.

Suggested Citation

  • Juliane Schwendike & Sarah Jones & Heike Vogel & Bernhard Vogel, 2012. "The Transport of Mineral Dust Towards Hurricane Helene (2006)," Springer Books, in: Wolfgang E. Nagel & Dietmar B. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '11, edition 127, pages 471-487, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-23869-7_34
    DOI: 10.1007/978-3-642-23869-7_34
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-23869-7_34. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.