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Causes of higher climate sensitivity in CMIP6 models

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2019GL085782.pdfAccepted version1.44 MBAdobe PDFView/Open
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Title: Causes of higher climate sensitivity in CMIP6 models
Authors: Zelinka, MD
Myers, TA
McCoy, DT
Po‐Chedley, S
Caldwell, PM
Ceppi, P
Klein, SA
Taylor, KE
Item Type: Journal Article
Abstract: Equilibrium climate sensitivity, the global surface temperature response to CO urn:x-wiley:grl:media:grl60047:grl60047-math-0001 doubling, has been persistently uncertain. Recent consensus places it likely within 1.5–4.5 K. Global climate models (GCMs), which attempt to represent all relevant physical processes, provide the most direct means of estimating climate sensitivity via CO urn:x-wiley:grl:media:grl60047:grl60047-math-0002 quadrupling experiments. Here we show that the closely related effective climate sensitivity has increased substantially in Coupled Model Intercomparison Project phase 6 (CMIP6), with values spanning 1.8–5.6 K across 27 GCMs and exceeding 4.5 K in 10 of them. This (statistically insignificant) increase is primarily due to stronger positive cloud feedbacks from decreasing extratropical low cloud coverage and albedo. Both of these are tied to the physical representation of clouds which in CMIP6 models lead to weaker responses of extratropical low cloud cover and water content to unforced variations in surface temperature. Establishing the plausibility of these higher sensitivity models is imperative given their implied societal ramifications.
Issue Date: 16-Jan-2020
Date of Acceptance: 20-Dec-2019
URI: http://hdl.handle.net/10044/1/76038
DOI: 10.1029/2019gl085782
ISSN: 0094-8276
Publisher: American Geophysical Union (AGU)
Journal / Book Title: Geophysical Research Letters
Volume: 47
Issue: 1
Keywords: Science & Technology
Physical Sciences
Geosciences, Multidisciplinary
Geology
LOW-CLOUD COVER
OPTICAL DEPTH FEEDBACK
COUPLED MODEL
PHASE
SPREAD
CONSTRAINTS
MECHANISMS
DEPENDENCE
SURFACE
MIDDLE
Meteorology & Atmospheric Sciences
Publication Status: Published
Article Number: ARTN e2019GL085782
Online Publication Date: 2020-01-03
Appears in Collections:Grantham Institute for Climate Change
Faculty of Natural Sciences



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