Observational constraints on low cloud feedback reduce uncertainty of climate sensitivity

Timothy A. Myers (), Ryan C. Scott, Mark D. Zelinka, Stephen A. Klein, Joel R. Norris and Peter M. Caldwell
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Timothy A. Myers: Lawrence Livermore National Laboratory
Ryan C. Scott: Scripps Institution of Oceanography, University of California, San Diego
Mark D. Zelinka: Lawrence Livermore National Laboratory
Stephen A. Klein: Lawrence Livermore National Laboratory
Joel R. Norris: Scripps Institution of Oceanography, University of California, San Diego
Peter M. Caldwell: Lawrence Livermore National Laboratory

Nature Climate Change, 2021, vol. 11, issue 6, 501-507

Abstract: Abstract Marine low clouds strongly cool the planet. How this cooling effect will respond to climate change is a leading source of uncertainty in climate sensitivity, the planetary warming resulting from CO2 doubling. Here, we observationally constrain this low cloud feedback at a near-global scale. Satellite observations are used to estimate the sensitivity of low clouds to interannual meteorological perturbations. Combined with model predictions of meteorological changes under greenhouse warming, this permits quantification of spatially resolved cloud feedbacks. We predict positive feedbacks from midlatitude low clouds and eastern ocean stratocumulus, nearly unchanged trade cumulus and a near-global marine low cloud feedback of 0.19 ± 0.12 W m−2 K−1 (90% confidence). These constraints imply a moderate climate sensitivity (~3 K). Despite improved midlatitude cloud feedback simulation by several current-generation climate models, their erroneously positive trade cumulus feedbacks produce unrealistically high climate sensitivities. Conversely, models simulating erroneously weak low cloud feedbacks produce unrealistically low climate sensitivities.

Date: 2021
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DOI: 10.1038/s41558-021-01039-0

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