KIT | KIT-Bibliothek | Impressum | Datenschutz

Recent Cloud Controlling Factor Analyses Indicate Higher Climate Sensitivity

Wilson Kemsley, Sarah ; Nowack, Peer ORCID iD icon 1,2; Ceppi, Paulo
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)

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 <0.5% 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.


Verlagsausgabe §
DOI: 10.5445/IR/1000190116
Veröffentlicht am 02.02.2026
Originalveröffentlichung
DOI: 10.1029/2025GL118366
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Institut für Theoretische Informatik (ITI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 16.02.2026
Sprache Englisch
Identifikator ISSN: 0094-8276, 1944-8007
KITopen-ID: 1000190116
HGF-Programm 12.11.32 (POF IV, LK 01) Advancing atmospheric and Earth system models
Weitere HGF-Programme 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Geophysical Research Letters
Verlag John Wiley and Sons
Band 53
Heft 3
Vorab online veröffentlicht am 31.01.2026
Schlagwörter cloud feedback, equilibrium climate sensitivity, cloud controlling factor analysis, machine learning, climate change projection uncertainty
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page