Articles | Volume 22, issue 4
https://doi.org/10.5194/acp-22-2769-2022
© Author(s) 2022. 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-22-2769-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Factors affecting precipitation formation and precipitation susceptibility of marine stratocumulus with variable above- and below-cloud aerosol concentrations over the Southeast Atlantic
Cooperative Institute for Severe and High Impact Weather Research and
Operations, University of Oklahoma, Norman, OK, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA
Greg M. McFarquhar
Cooperative Institute for Severe and High Impact Weather Research and
Operations, University of Oklahoma, Norman, OK, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA
Joseph R. O'Brien
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
Michael R. Poellot
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
David J. Delene
Department of Atmospheric Sciences, University of North Dakota, Grand
Forks, ND, USA
Rose M. Miller
Department of Atmospheric Sciences, University of Illinois at
Urbana-Champaign, Urbana, IL, USA
Jennifer D. Small Griswold
Department of Meteorology, University of Hawai'i at Manoa, Honolulu,
HI, USA
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Cited
13 citations as recorded by crossref.
- Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments P. Barrett et al. https://doi.org/10.5194/amt-15-6329-2022
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. https://doi.org/10.5194/acp-22-12923-2022
- The transport history of African biomass burning aerosols arriving in the remote Southeast Atlantic and their impacts on cloud properties H. Wu et al. https://doi.org/10.5194/acp-25-16589-2025
- Precipitation prediction in several Chinese regions using machine learning methods Y. Wang et al. https://doi.org/10.1007/s40435-023-01250-1
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. https://doi.org/10.3390/atmos13040586
- Low cloud response to aerosol‐radiation‐cloud interactions: Idealized WRF numerical experiments for EUREC4A project N. Tartaglione et al. https://doi.org/10.1002/asl.1208
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. https://doi.org/10.5194/acp-24-10323-2024
- Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES K. Meyer et al. https://doi.org/10.5194/amt-18-981-2025
- Vertical structure of biomass burning aerosol transported over the southeast Atlantic Ocean H. Harshvardhan et al. https://doi.org/10.5194/acp-22-9859-2022
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex D. Fu et al. https://doi.org/10.5194/acp-22-8259-2022
- Aerosol-Cloud-Precipitation Interactions in a Closed-cell and Non-homogenous MBL Stratocumulus Cloud X. Zheng et al. https://doi.org/10.1007/s00376-022-2013-6
- Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations K. Sanchez et al. https://doi.org/10.1038/s41597-023-02372-z
- How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. https://doi.org/10.3390/atmos15050596
13 citations as recorded by crossref.
- Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments P. Barrett et al. https://doi.org/10.5194/amt-15-6329-2022
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. https://doi.org/10.5194/acp-22-12923-2022
- The transport history of African biomass burning aerosols arriving in the remote Southeast Atlantic and their impacts on cloud properties H. Wu et al. https://doi.org/10.5194/acp-25-16589-2025
- Precipitation prediction in several Chinese regions using machine learning methods Y. Wang et al. https://doi.org/10.1007/s40435-023-01250-1
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. https://doi.org/10.3390/atmos13040586
- Low cloud response to aerosol‐radiation‐cloud interactions: Idealized WRF numerical experiments for EUREC4A project N. Tartaglione et al. https://doi.org/10.1002/asl.1208
- Distinctive aerosol–cloud–precipitation interactions in marine boundary layer clouds from the ACE-ENA and SOCRATES aircraft field campaigns X. Zheng et al. https://doi.org/10.5194/acp-24-10323-2024
- Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES K. Meyer et al. https://doi.org/10.5194/amt-18-981-2025
- Vertical structure of biomass burning aerosol transported over the southeast Atlantic Ocean H. Harshvardhan et al. https://doi.org/10.5194/acp-22-9859-2022
- An evaluation of the liquid cloud droplet effective radius derived from MODIS, airborne remote sensing, and in situ measurements from CAMP2Ex D. Fu et al. https://doi.org/10.5194/acp-22-8259-2022
- Aerosol-Cloud-Precipitation Interactions in a Closed-cell and Non-homogenous MBL Stratocumulus Cloud X. Zheng et al. https://doi.org/10.1007/s00376-022-2013-6
- Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations K. Sanchez et al. https://doi.org/10.1038/s41597-023-02372-z
- How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. https://doi.org/10.3390/atmos15050596
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
This study evaluates the impact of biomass burning aerosols on precipitation in marine stratocumulus clouds using observations from the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign over the Southeast Atlantic. Instances of contact and separation between aerosol and cloud layers show polluted clouds have a lower precipitation rate and a lower precipitation susceptibility. This information will help improve cloud representation in Earth system models.
This study evaluates the impact of biomass burning aerosols on precipitation in marine...
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