Climate goals and computing the future of clouds
Tapio Schneider (),
João Teixeira,
Christopher S. Bretherton,
Florent Brient,
Kyle G. Pressel,
Christoph Schär and
A. Pier Siebesma
Additional contact information
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
Nature Climate Change, 2017, vol. 7, issue 1, 3-5
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.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcli:v:7:y:2017:i:1:d:10.1038_nclimate3190
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DOI: 10.1038/nclimate3190
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