IDEAS home Printed from https://ideas.repec.org/a/nat/natcli/v12y2022i6d10.1038_s41558-022-01384-8.html
   My bibliography  Save this article

Ambitious partnership needed for reliable climate prediction

Author

Listed:
  • Julia Slingo

    (Cabot Institute, University of Bristol)

  • Paul Bates

    (Cabot Institute, University of Bristol
    Fathom)

  • Peter Bauer

    (European Centre for Medium-Range Weather Forecasts)

  • Stephen Belcher

    (Met Office)

  • Tim Palmer

    (University of Oxford)

  • Graeme Stephens

    (California Institute of Technology)

  • Bjorn Stevens

    (Max Planck Institute for Meteorology)

  • Thomas Stocker

    (University of Bern)

  • Georg Teutsch

    (Helmholtz Centre for Environmental Research)

Abstract

Current global climate models struggle to represent precipitation and related extreme events, with serious implications for the physical evidence base to support climate actions. A leap to kilometre-scale models could overcome this shortcoming but requires collaboration on an unprecedented scale.

Suggested Citation

  • Julia Slingo & Paul Bates & Peter Bauer & Stephen Belcher & Tim Palmer & Graeme Stephens & Bjorn Stevens & Thomas Stocker & Georg Teutsch, 2022. "Ambitious partnership needed for reliable climate prediction," Nature Climate Change, Nature, vol. 12(6), pages 499-503, June.
  • Handle: RePEc:nat:natcli:v:12:y:2022:i:6:d:10.1038_s41558-022-01384-8
    DOI: 10.1038/s41558-022-01384-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41558-022-01384-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41558-022-01384-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marina Baldissera Pacchetti & Suraje Dessai & James S. Risbey & David A. Stainforth & Erica Thompson, 2024. "Perspectives on the quality of climate information for adaptation decision support," Climatic Change, Springer, vol. 177(11), pages 1-14, November.
    2. Ryan O’Loughlin, 2024. "Why we need lower-performance climate models," Climatic Change, Springer, vol. 177(2), pages 1-20, February.

    More about this item

    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:nat:natcli:v:12:y:2022:i:6:d:10.1038_s41558-022-01384-8. 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.nature.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.