Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2601-2019
© Author(s) 2019. 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-19-2601-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2019
Research article |
| 28 Feb 2019
| 28 Feb 2019
Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics
Max Heikenfeld
CORRESPONDING AUTHOR
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Bethan White
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
ARC Centre of
Excellence for Climate System Science, School of Earth, Atmosphere and
Environment, Monash University, Melbourne, Australia
Laurent Labbouz
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Laboratoire
d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
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- Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems G. Dagan et al. 10.5194/acp-20-4523-2020
- Effects of Number Concentration of Cloud Condensation Nuclei on Moist Convection Formation Y. Miyamoto 10.1175/JAS-D-21-0058.1
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
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- Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1 T. Schwitalla et al. 10.5194/gmd-13-1959-2020
- How weather events modify aerosol particle size distributions in the Amazon boundary layer L. Machado et al. 10.5194/acp-21-18065-2021
- The impact of microphysical uncertainty conditional on initial and boundary condition uncertainty under varying synoptic control T. Matsunobu et al. 10.5194/wcd-3-1273-2022
- Aerosol–cloud–precipitation interactions during a Saharan dust event – A summertime case‐study from the Alps G. Eirund et al. 10.1002/qj.4240
- 100 Years of Progress in Cloud Physics, Aerosols, and Aerosol Chemistry Research S. Kreidenweis et al. 10.1175/AMSMONOGRAPHS-D-18-0024.1
- Sensitivity study of the planetary boundary layer and microphysical schemes to the initialization of convection over the Arabian Peninsula T. Schwitalla et al. 10.1002/qj.3711
- Aerosol indirect effects on the temperature–precipitation scaling N. Da Silva et al. 10.5194/acp-20-6207-2020
- Advances in understanding large‐scale responses of the water cycle to climate change R. Allan et al. 10.1111/nyas.14337
- Microphysics effects of anthropogenic aerosols on urban heavy precipitation over the Pearl River Delta, China Q. Cao et al. 10.1016/j.atmosres.2021.105478
- A Linear Relationship between Vertical Velocity and Condensation Processes in Deep Convection L. Grant et al. 10.1175/JAS-D-21-0035.1
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
- Global response of parameterised convective cloud fields to anthropogenic aerosol forcing Z. Kipling et al. 10.5194/acp-20-4445-2020
- Comparison of a Spectral Bin and Two Multi-Moment Bulk Microphysics Schemes for Supercell Simulation: Investigation into Key Processes Responsible for Hydrometeor Distributions and Precipitation M. Johnson et al. 10.1007/s00376-023-3069-7
- Downscaling of seasonal ensemble forecasts to the convection‐permitting scale over the Horn of Africa using the WRF model P. Mori et al. 10.1002/joc.6809
- Pathways of precipitation formation in different thermodynamic and aerosol environments over the Indian Peninsula K. Gayatri et al. 10.1016/j.atmosres.2021.105934
- Opinion: A critical evaluation of the evidence for aerosol invigoration of deep convection A. Varble et al. 10.5194/acp-23-13791-2023
- The evolution of cloud and aerosol microphysics at the summit of Mt. Tai, China J. Li et al. 10.5194/acp-20-13735-2020
- Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. 10.5194/gmd-12-5177-2019
- On the sensitivity of aerosol–cloud interactions to changes in sea surface temperature in radiative–convective equilibrium S. Lorian & G. Dagan 10.5194/acp-24-9323-2024
- Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset X. Hu et al. 10.1109/JSTARS.2024.3491160
- Vertical Profiles of Particle Number Size Distribution and Variation Characteristics at the Eastern Slope of the Tibetan Plateau C. Shu et al. 10.3390/rs15225363
- Mesoscale air motion and thermodynamics predict heavy hourly U.S. precipitation M. Richardson et al. 10.1038/s43247-024-01614-1
- Saharan Dust Aerosols Change Deep Convective Cloud Prevalence, Possibly by Inhibiting Marine New Particle Formation L. Zamora & R. Kahn 10.1175/JCLI-D-20-0083.1
- Amazonian aerosol size distributions in a lognormal phase space: characteristics and trajectories G. Unfer et al. 10.5194/acp-24-3869-2024
- Multifaceted aerosol effects on precipitation P. Stier et al. 10.1038/s41561-024-01482-6
- In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
- Convective Invigoration Traced to Warm‐Rain Microphysics X. Chua & Y. Ming 10.1029/2020GL089134
- Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season W. Lassman et al. 10.1029/2022JD037062
- Effects of cloud condensation nuclei concentration on the evolution of severe convective storms W. Shu et al. 10.1016/j.atmosres.2022.106252
Latest update: 02 Jul 2025
Short summary
Aerosols can affect the evolution of deep convective clouds by controlling the cloud droplet number concentration. We perform a detailed analysis of the pathways of such aerosol perturbations through the cloud microphysics in numerical model simulations. By focussing on individually tracked convective cells, we can reveal consistent changes to individual process rates, such as a lifting of freezing and riming, but also major differences between the three different microphysics schemes used.
Aerosols can affect the evolution of deep convective clouds by controlling the cloud droplet...
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