Climate goals and computing the future of clouds
Schneider, Tapio ; Teixeira, João ; Bretherton, Christopher S. ; Brient, Florent ; Pressel, Kyle G. ; Schär, Christoph ; Siebesma, A. Pier
Année de publication
2017
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.
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