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Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment
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2022
Source: Journal of Geophysical Research: Atmospheres, 127(2)
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description:The persistent and growing spread in effective climate sensitivity (ECS) across global climate models necessitates rigorous evaluation of their cloud feedbacks. Here we evaluate several cloud feedback components simulated in 19 climate models against benchmark values determined via an expert synthesis of observational, theoretical, and high-resolution modeling studies. We find that models with smallest feedback errors relative to these benchmark values generally have moderate total cloud feedbacks (0.4–0.6 W m−2 K−1) and ECS (3–4 K). Those with largest errors generally have total cloud feedback and ECS values that are too large or too small. Models tend to achieve large positive total cloud feedbacks by having several cloud feedback components that are systematically
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Source:Journal of Geophysical Research: Atmospheres, 127(2)
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ISSN:2169-897X;2169-8996;
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Rights Information:CC BY
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Compliance:Library
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