
Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity
Author(s) -
Peter Caldwell,
Mark D. Zelinka,
Karl E. Taylor,
Kate Marvel
Publication year - 2016
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-15-0352.1
Subject(s) - shortwave , cloud feedback , longwave , climate sensitivity , forcing (mathematics) , environmental science , albedo (alchemy) , cloud forcing , climatology , sensitivity (control systems) , climate model , radiative forcing , negative feedback , atmospheric sciences , computer science , climate change , meteorology , cloud computing , cloud cover , radiative transfer , physics , geology , art , aerosol , electronic engineering , oceanography , engineering , operating system , quantum mechanics , art history , performance art , voltage
This study clarifies the causes of intermodel differences in the global-average temperature response to doubled CO2, commonly known as equilibrium climate sensitivity (ECS). The authors begin by noting several issues with the standard approach for decomposing ECS into a sum of forcing and feedback terms. This leads to a derivation of an alternative method based on linearizing the effect of the net feedback. Consistent with previous studies, the new method identifies shortwave cloud feedback as the dominant source of intermodel spread in ECS. This new approach also reveals that covariances between cloud feedback and forcing, between lapse rate and longwave cloud feedbacks, and between albedo and shortwave cloud feedbacks play an important and previously underappreciated role in determining model differences in ECS. Defining feedbacks based on fixed relative rather than specific humidity (as suggested by Held and Shell) reduces the covariances between processes and leads to more straightforward interpretations of results.