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Recent cloud controlling factor analyses indicate higher climate sensitivity

Research output: Contribution to journal › Letter › peer-review

2 Citations (Scopus)
1 Downloads (Pure)

Abstract

Cloud feedback is a dominant source of uncertainty in climate model estimates of equilibrium climate sensitivity (ECS). Cloud controlling factor analysis can observationally constrain cloud feedback. For the first time, we use separate rather than unified frameworks to assess high- and low-cloud feedbacks and constrain the net cloud feedback and subsequently, the ECS. We find a robustly positive cloud feedback (i.e., a negative feedback is (Formula presented.) % probable), indicating that clouds amplify global warming. We assess the individual and combined impacts of our cloud feedback constraints on ECS using three approaches. Two indicate an upward ECS shift with reduced uncertainty, preserving ECS–feedback correlations but using cloud feedback as a single line of evidence. The third, a Bayesian framework combining multiple lines of evidence, also suggests a higher ECS but with a smaller increase and broader confidence range.

Original languageEnglish
Article numbere2025GL118366
JournalGeophysical Research Letters
Volume53
Issue number3
Early online date31 Jan 2026
DOIs
Publication statusPublished - 16 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • climate sensitivity
  • cloud feedback

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