IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-11851-7_12.html
   My bibliography  Save this book chapter

Downscaling Climate Simulations for Use in Hydrological Modeling of Medium-Sized River Catchments

In: High Performance Computing on Vector Systems 2010

Author

Listed:
  • Peter Berg

    (Karlsruhe Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung)

  • Hans-Jürgen Panitz

    (Karlsruhe Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung)

  • Gerd Schädler

    (Karlsruhe Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung)

  • Hendrik Feldmann

    (Karlsruhe Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung)

  • Christoph Kottmeier

    (Karlsruhe Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung)

Abstract

To assess a possible future change in flood and drought risks for medium and small-scale river catchments, one needs to have data of a higher spatial and temporal resolution than what is provided by the global climate models. The COSMO-CLM regional climate model has to this purpose been used to downscale a set of global climate simulations to a 7 km horizontal resolution. In order to assess some of the uncertainties involved in near future scenario simulations, several different global simulations are downscaled to produce an ensemble of high resolution data. This will then be used as input to hydrological catchment models to assess future changes in flood risk for three catchments in Germany, within the CEDIM-project “Flood hazard in a changing climate” (Hochwassergefahr durch Klimawandel).

Suggested Citation

  • Peter Berg & Hans-Jürgen Panitz & Gerd Schädler & Hendrik Feldmann & Christoph Kottmeier, 2010. "Downscaling Climate Simulations for Use in Hydrological Modeling of Medium-Sized River Catchments," Springer Books, in: Michael Resch & Katharina Benkert & Xin Wang & Martin Galle & Wolfgang Bez & Hiroaki Kobayashi & Sab (ed.), High Performance Computing on Vector Systems 2010, pages 163-170, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-11851-7_12
    DOI: 10.1007/978-3-642-11851-7_12
    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:978-3-642-11851-7_12. 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.