Articles | Volume 23, issue 18
https://doi.org/10.5194/acp-23-10775-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-10775-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Sep 2023
Research article |
| 28 Sep 2023
| 28 Sep 2023
Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations
Hendrik Andersen
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Jan Cermak
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Alyson Douglas
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, UK
Timothy A. Myers
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, USA
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, USA
Peer Nowack
Institute of Theoretical Informatics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, UK
Casey J. Wall
Department of Geosciences, University of Oslo, Oslo, Norway
Sarah Wilson Kemsley
Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
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18 citations as recorded by crossref.
- Quantitative estimates of vertical structure of radiative heating rates for different cloud types during Indian summer monsoon K. Subrahmanyam & S. Sai Krishna https://doi.org/10.1080/01431161.2025.2589947
- Radiative forcing from the 2020 shipping fuel regulation is large but hard to detect J. Zhang et al. https://doi.org/10.1038/s43247-024-01911-9
- Analysis of ship emission effects on clouds over the southeastern Atlantic using geostationary satellite observations N. Benas et al. https://doi.org/10.5194/acp-25-6957-2025
- Global Assessment of the Cloud-Aerosol Transition Zone Using CALIPSO J. Ruiz de Morales et al. https://doi.org/10.1007/s00376-025-5052-y
- A systematic evaluation of high-cloud controlling factors S. Wilson Kemsley et al. https://doi.org/10.5194/acp-24-8295-2024
- Decoding marine low cloud changes reveals more resilient climate feedbacks J. Ge et al. https://doi.org/10.1038/s43247-026-03564-2
- Multi-scale and time-varying characteristics of cloud radiative effect and sea surface temperature interaction Y. Wang et al. https://doi.org/10.1007/s00382-025-08035-6
- Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship M. Christensen et al. https://doi.org/10.5194/acp-26-59-2026
- Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. https://doi.org/10.16993/tellusb.1868
- Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. https://doi.org/10.5194/acp-24-13025-2024
- Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.asr.2025.06.024
- Microphysical fingerprints in anvil cloud albedo D. Finney et al. https://doi.org/10.5194/acp-25-10907-2025
- Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al. https://doi.org/10.5194/acp-26-2293-2026
- Coupled atmospheric radiative transfer–machine learning retrieval of cloud shortwave radiative forcing over the Qinghai–Xizang Plateau L. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109065
- Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al. https://doi.org/10.1016/j.jenvman.2026.128707
- Modeling of Secondary Air Pollutants in East Asia: Recent Trends and Future Challenges S. Kim et al. https://doi.org/10.5572/KOSAE.2025.41.3.403
- On the characterization of Cloud occurrence and its impact on solar radiation in Mbour, Senegal M. Dramé et al. https://doi.org/10.1016/j.jastp.2024.106284
- Regional climate imprints of recent historical changes in anthropogenic Near Term Climate Forcers A. Santos-Espeso et al. https://doi.org/10.5194/esd-16-2161-2025
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
This study uses an observation-based cloud-controlling factor framework to study near-global sensitivities of cloud radiative effects to a large number of meteorological and aerosol controls. We present near-global sensitivity patterns to selected thermodynamic, dynamic, and aerosol factors and discuss the physical mechanisms underlying the derived sensitivities. Our study hopes to guide future analyses aimed at constraining cloud feedbacks and aerosol–cloud interactions.
This study uses an observation-based cloud-controlling factor framework to study near-global...
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