Articles | Volume 24, issue 23
https://doi.org/10.5194/acp-24-13633-2024
© Author(s) 2024. 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-24-13633-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions?
Johannes Mülmenstädt
CORRESPONDING AUTHOR
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Andrew S. Ackerman
NASA Goddard Institute for Space Studies, New York, NY, USA
Ann M. Fridlind
NASA Goddard Institute for Space Studies, New York, NY, USA
Meng Huang
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Po-Lun Ma
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Naser Mahfouz
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Susanne E. Bauer
NASA Goddard Institute for Space Studies, New York, NY, USA
Susannah M. Burrows
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Matthew W. Christensen
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Sudhakar Dipu
Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany
Andrew Gettelman
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
L. Ruby Leung
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Florian Tornow
Columbia University Center for Climate System Research, New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Johannes Quaas
Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany
Adam C. Varble
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Hailong Wang
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Kai Zhang
Atmospheric, Climate and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Youtong Zheng
Atmospheric and Oceanic Science Program, Princeton University, Princeton, NJ, USA
Department of Earth and Atmospheric Science, University of Houston, Houston, TX, USA
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Cited
12 citations as recorded by crossref.
- Prescribing the aerosol effective radiative forcing in the Simple Cloud-Resolving E3SM Atmosphere Model v1 N. Mahfouz et al.
- G6-1.5K-MCB: Marine Cloud Brightening scenario design for the Geoengineering Model Intercomparison Project (GeoMIP) in CESM2.1, E3SMv2.0, and UKESM1.1 H. Hirasawa et al.
- Challenges in global climate models to represent cloud response to aerosols: insights from volcanic eruptions Y. Wang et al.
- Intrusion of Marine-continental mixed aerosols disturb cloud properties S. Wang et al.
- Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al.
- A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models B. Duran et al.
- Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble A. Mikkelsen et al.
- Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific K. von Salzen et al.
- How well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption G. Jordan et al.
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al.
- Observing the role of wind-driven processes in the evolution of warm marine cloud properties V. Nair et al.
12 citations as recorded by crossref.
- Prescribing the aerosol effective radiative forcing in the Simple Cloud-Resolving E3SM Atmosphere Model v1 N. Mahfouz et al.
- G6-1.5K-MCB: Marine Cloud Brightening scenario design for the Geoengineering Model Intercomparison Project (GeoMIP) in CESM2.1, E3SMv2.0, and UKESM1.1 H. Hirasawa et al.
- Challenges in global climate models to represent cloud response to aerosols: insights from volcanic eruptions Y. Wang et al.
- Intrusion of Marine-continental mixed aerosols disturb cloud properties S. Wang et al.
- Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al.
- A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models B. Duran et al.
- Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble A. Mikkelsen et al.
- Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific K. von Salzen et al.
- How well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption G. Jordan et al.
- Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al.
- Observing the role of wind-driven processes in the evolution of warm marine cloud properties V. Nair et al.
Saved (final revised paper)
Latest update: 02 May 2026
Short summary
Stratocumulus clouds play a large role in Earth's climate by reflecting incoming solar energy back to space. Turbulence at stratocumulus cloud top mixes in dry, warm air, which can lead to cloud dissipation. This process is challenging for coarse-resolution global models to represent. We show that global models nevertheless agree well with our process understanding. Global models also think the process is less important for the climate than other lines of evidence have led us to conclude.
Stratocumulus clouds play a large role in Earth's climate by reflecting incoming solar energy...
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