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Climate goals and computing the future of clouds

Author

Listed:
  • Tapio Schneider

    (Tapio Schneider and Kyle G. Pressel are at the California Institute of Technology, Pasadena, California 91125, USA)

  • João Teixeira

    (João Teixeira is at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91125, USA)

  • Christopher S. Bretherton

    (University of Washington, Seattle, Washington 98195, USA)

  • Florent Brient

    (Florent Brient is at the Centre National de Recherches Météorologiques, Météo-France/CNRS, 31057 Toulouse, France)

  • Kyle G. Pressel

    (Tapio Schneider and Kyle G. Pressel are at the California Institute of Technology, Pasadena, California 91125, USA)

  • Christoph Schär

    (Christoph Schär is at the Institute for Atmospheric and Climate Science, ETH Zürich, 8092 Zürich, Switzerland)

  • A. Pier Siebesma

    (A. Pier Siebesma is at the Royal Netherlands Meteorological Institute, NL-3730AE De Bilt, and Delft University of Technology, NL-2600AA Delft, Netherlands)

Abstract

How clouds respond to warming remains the greatest source of uncertainty in climate projections. Improved computational and observational tools can reduce this uncertainty. Here we discuss the need for research focusing on high-resolution atmosphere models and the representation of clouds and turbulence within them.

Suggested Citation

  • Tapio Schneider & João Teixeira & Christopher S. Bretherton & Florent Brient & Kyle G. Pressel & Christoph Schär & A. Pier Siebesma, 2017. "Climate goals and computing the future of clouds," Nature Climate Change, Nature, vol. 7(1), pages 3-5, January.
    • Handle: RePEc:nat:natcli:v:7:y:2017:i:1:d:10.1038_nclimate3190
    DOI: 10.1038/nclimate3190
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    Cited by:

    1. Sabine Undorf & Karoliina Pulkkinen & Per Wikman-Svahn & Frida A.-M. Bender, 2022. "How do value-judgements enter model-based assessments of climate sensitivity?," Climatic Change, Springer, vol. 174(3), pages 1-26, October.

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