Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-2153-2022
© 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-22-2153-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2022
Research article |
| 16 Feb 2022
| 16 Feb 2022
Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation
Christian Barthlott
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Amirmahdi Zarboo
Institute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Takumi Matsunobu
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
Christian Keil
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
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Total article views: 4,885 (including HTML, PDF, and XML)
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Cited
27 citations as recorded by crossref.
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al.
- Impact of Planetary Parameters on Water Clouds Microphysics H. Yang et al.
- Flow‐ and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations T. Matsunobu et al.
- On the impact of thunder on cloud ice crystals and droplets K. Kourtidis et al.
- Displacement of Intertropical Convergence Zone induced by interannual variability in biomass burning aerosol emissions X. Zhang et al.
- Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large‐scale flow pattern: Insights from a perturbed parameter ensemble A. Oertel et al.
- Sizes of atmospheric particulate matters determine the outcomes of their interactions with rainfall processes R. Maboa et al.
- An Accurate Retrieval of Cloud Droplet Effective Radius for Single-Wavelength Cloud Radar J. Du et al.
- Spatio-temporal consistency of cloud-microphysical parameter sensitivity in a warm-conveyor belt M. Hieronymus et al.
- A Conceptual Rain Effect Model for Ku-Band Scatterometers K. Zhao et al.
- Microphysical fingerprints in anvil cloud albedo D. Finney et al.
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al.
- Impact of wind shear on aerosol–cloud interactions and convective precipitation M. Tonn et al.
- Deciphering Long-Term Variation of Aerosol Characteristics and Their Climatic Implication over the World’s Wettest Place: Mawsynram M. Devi et al.
- Integrating LGBM machine learning methods with SHAP model to explain the impact of different environmental factors on precipitation in China Y. Liu et al.
- Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network X. Yan et al.
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al.
- Reconciling observed and predicted droplet concentration at the Indian summer monsoon cloud base M. Varghese & T. Prabhakaran
- Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus E. Crosbie et al.
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al.
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al.
- Microphysical Pathways Active Within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear A. Barrett & C. Hoose
- Aerosol effects on convective storms under pseudo-global warming conditions: insights from case studies in Germany L. Lucas et al.
- Weak influence of anthropogenic emissions on aerosol, cloud, and rain in the wet season of the Amazon rainforest X. Wang et al.
- Quantitative assessment of supercooled liquid water sensitivity to different aerosol field inputs over the Sichuan Basin M. Yuan et al.
- Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al.
- The impact of microphysical uncertainty conditional on initial and boundary condition uncertainty under varying synoptic control T. Matsunobu et al.
27 citations as recorded by crossref.
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al.
- Impact of Planetary Parameters on Water Clouds Microphysics H. Yang et al.
- Flow‐ and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations T. Matsunobu et al.
- On the impact of thunder on cloud ice crystals and droplets K. Kourtidis et al.
- Displacement of Intertropical Convergence Zone induced by interannual variability in biomass burning aerosol emissions X. Zhang et al.
- Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large‐scale flow pattern: Insights from a perturbed parameter ensemble A. Oertel et al.
- Sizes of atmospheric particulate matters determine the outcomes of their interactions with rainfall processes R. Maboa et al.
- An Accurate Retrieval of Cloud Droplet Effective Radius for Single-Wavelength Cloud Radar J. Du et al.
- Spatio-temporal consistency of cloud-microphysical parameter sensitivity in a warm-conveyor belt M. Hieronymus et al.
- A Conceptual Rain Effect Model for Ku-Band Scatterometers K. Zhao et al.
- Microphysical fingerprints in anvil cloud albedo D. Finney et al.
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al.
- Impact of wind shear on aerosol–cloud interactions and convective precipitation M. Tonn et al.
- Deciphering Long-Term Variation of Aerosol Characteristics and Their Climatic Implication over the World’s Wettest Place: Mawsynram M. Devi et al.
- Integrating LGBM machine learning methods with SHAP model to explain the impact of different environmental factors on precipitation in China Y. Liu et al.
- Exploring Global Aerosol Size Dynamics from 2001 to 2024 Using the Pretrained Remote sensing pIxel-based Spatial-teMporal Deep Neural Network X. Yan et al.
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al.
- Reconciling observed and predicted droplet concentration at the Indian summer monsoon cloud base M. Varghese & T. Prabhakaran
- Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus E. Crosbie et al.
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al.
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al.
- Microphysical Pathways Active Within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear A. Barrett & C. Hoose
- Aerosol effects on convective storms under pseudo-global warming conditions: insights from case studies in Germany L. Lucas et al.
- Weak influence of anthropogenic emissions on aerosol, cloud, and rain in the wet season of the Amazon rainforest X. Wang et al.
- Quantitative assessment of supercooled liquid water sensitivity to different aerosol field inputs over the Sichuan Basin M. Yuan et al.
- Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al.
- The impact of microphysical uncertainty conditional on initial and boundary condition uncertainty under varying synoptic control T. Matsunobu et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
Short summary
The relative impact of cloud condensation nuclei (CCN) concentrations and the shape parameter of the cloud droplet size distribution is evaluated in realistic convection-resolving simulations. We find that an increase in the shape parameter can produce almost as large a variation in precipitation as a CCN increase from maritime to polluted conditions. The choice of the shape parameter may be more important than previously thought for determining cloud radiative characteristics.
The relative impact of cloud condensation nuclei (CCN) concentrations and the shape parameter of...
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