KIT | KIT-Bibliothek | Impressum | Datenschutz

Emerging low-cloud feedback and adjustment in global satellite observations

Ceppi, Paulo ; Wilson Kemsley, S. 1; Andersen, Hendrik ORCID iD icon 2,3; Andrews, T.; Kramer, R. J.; Nowack, Peer ORCID iD icon 1,3; Wall, C. J.; Zelinka, M. D.
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
2 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
3 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)

Abstract:

From mid-2003 to mid-2024, a global decrease in low-cloud amount enhanced the absorption of solar radiation by 0.22±0.07 W m−2 per decade (±1σ range), accelerating the energy imbalance trend during that period (0.44 W m−2 per decade). Through controlling factor analysis, here we show that the low-cloud trend is due to a combination of cloud feedback and adjustments to greenhouse gases and aerosols (respectively 0.09±0.02, 0.05±0.03, and 0.03±0.03 W m−2 per decade), which jointly account for 74 % of the trend. The contribution of natural climate variability is weak but uncertain (0.01±0.08 W m−2 per decade), owing to a poorly constrained trend in boundary-layer inversion strength. Importantly, the observed low-cloud radiative trend lies well within the range of values simulated by contemporary global climate models under conditions close to present day. Any systematic model error in the representation of present-day global energy imbalance trends is thus likely to originate in processes unrelated to low clouds.


Verlagsausgabe §
DOI: 10.5445/IR/1000191683
Veröffentlicht am 26.03.2026
Originalveröffentlichung
DOI: 10.5194/acp-26-4153-2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Institut für Photogrammetrie und Fernerkundung (IPF)
Institut für Theoretische Informatik (ITI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 26.03.2026
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000191683
HGF-Programm 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction
Weitere HGF-Programme 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 26
Heft 6
Seiten 4153–4171
Externe Relationen Abstract/Volltext
Schlagwörter Climate change, cloud feedback, aerosols, cloud controlling factor analysis, climate modelling, satellite observations
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page