Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16203-2021
© Author(s) 2021. 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-21-16203-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Revisiting adiabatic fraction estimations in cumulus clouds: high-resolution simulations with a passive tracer
Eshkol Eytan
Department of Earth and Planetary Science, Weizmann Institute of Science, Rehovot, Israel
Department of Earth and Planetary Science, Weizmann Institute of Science, Rehovot, Israel
Orit Altaratz
Department of Earth and Planetary Science, Weizmann Institute of Science, Rehovot, Israel
Mark Pinsky
Institute of Earth Science, Hebrew University, Jerusalem, Israel
Alexander Khain
CORRESPONDING AUTHOR
Institute of Earth Science, Hebrew University, Jerusalem, Israel
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Cited
14 citations as recorded by crossref.
- The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data E. Gryspeerdt et al. https://doi.org/10.5194/amt-15-3875-2022
- Global expansion of the sensitive aerosol-limited marine cloud regime under emission reductions X. Han et al. https://doi.org/10.1126/sciadv.aef9665
- Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. https://doi.org/10.1029/2022JD037417
- Dynamics and microphysics in small developing cumulus clouds A. Khain et al. https://doi.org/10.1016/j.atmosres.2024.107454
- Effervescent nozzle design to enable outdoor marine cloud brightening experimentation L. Harrison et al. https://doi.org/10.1039/D5EA00073D
- Distinct Mixing Regimes in Shallow Cumulus Clouds Y. Arieli et al. https://doi.org/10.1029/2023GL105746
- Cloud liquid water path at the North Slope of Alaska has minimal sensitivity to local meteorology in Arctic winter K. Hartig et al. https://doi.org/10.5194/acp-26-12689-2026
- Shallow Cumulus Properties as Captured by Adiabatic Fraction in High-Resolution LES Simulations E. Eytan et al. https://doi.org/10.1175/JAS-D-21-0201.1
- The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al. https://doi.org/10.1029/2023GL105831
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. https://doi.org/10.3390/rs16152788
- Comparison of Lagrangian Superdroplet and Eulerian Double-Moment Spectral Microphysics Schemes in Large-Eddy Simulations of an Isolated Cumulus Congestus Cloud K. Chandrakar et al. https://doi.org/10.1175/JAS-D-21-0138.1
- Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method T. Matsushima et al. https://doi.org/10.5194/gmd-16-6211-2023
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al. https://doi.org/10.1038/s41598-025-90169-y
- Convective and Turbulent Motions in Nonprecipitating Cu. Part II: LES Simulated Cloud Represented by a Starting Plume M. Pinsky et al. https://doi.org/10.1175/JAS-D-21-0137.1
14 citations as recorded by crossref.
- The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data E. Gryspeerdt et al. https://doi.org/10.5194/amt-15-3875-2022
- Global expansion of the sensitive aerosol-limited marine cloud regime under emission reductions X. Han et al. https://doi.org/10.1126/sciadv.aef9665
- Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. https://doi.org/10.1029/2022JD037417
- Dynamics and microphysics in small developing cumulus clouds A. Khain et al. https://doi.org/10.1016/j.atmosres.2024.107454
- Effervescent nozzle design to enable outdoor marine cloud brightening experimentation L. Harrison et al. https://doi.org/10.1039/D5EA00073D
- Distinct Mixing Regimes in Shallow Cumulus Clouds Y. Arieli et al. https://doi.org/10.1029/2023GL105746
- Cloud liquid water path at the North Slope of Alaska has minimal sensitivity to local meteorology in Arctic winter K. Hartig et al. https://doi.org/10.5194/acp-26-12689-2026
- Shallow Cumulus Properties as Captured by Adiabatic Fraction in High-Resolution LES Simulations E. Eytan et al. https://doi.org/10.1175/JAS-D-21-0201.1
- The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al. https://doi.org/10.1029/2023GL105831
- Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. https://doi.org/10.3390/rs16152788
- Comparison of Lagrangian Superdroplet and Eulerian Double-Moment Spectral Microphysics Schemes in Large-Eddy Simulations of an Isolated Cumulus Congestus Cloud K. Chandrakar et al. https://doi.org/10.1175/JAS-D-21-0138.1
- Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method T. Matsushima et al. https://doi.org/10.5194/gmd-16-6211-2023
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al. https://doi.org/10.1038/s41598-025-90169-y
- Convective and Turbulent Motions in Nonprecipitating Cu. Part II: LES Simulated Cloud Represented by a Starting Plume M. Pinsky et al. https://doi.org/10.1175/JAS-D-21-0137.1
Saved (final revised paper)
Latest update: 16 Sep 2026
Short summary
Describing cloud mixing processes is among the most challenging fronts in cloud physics. Therefore, the adiabatic fraction (AF) that serves as a mixing measure is a valuable metric. We use high-resolution (10 m) simulations of single clouds with a passive tracer to test the skill of different methods used to derive AF. We highlight a method that is insensitive to the available cloud samples and allows considering microphysical effects on AF estimations in different environmental conditions.
Describing cloud mixing processes is among the most challenging fronts in cloud physics....
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