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.
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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Cited
15 citations as recorded by crossref.
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al. 10.1002/qj.4687
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
- Impact of Planetary Parameters on Water Clouds Microphysics H. Yang et al. 10.3847/1538-4357/ad3242
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al. 10.5194/acp-23-8553-2023
- Reconciling observed and predicted droplet concentration at the Indian summer monsoon cloud base M. Varghese & T. Prabhakaran 10.1016/j.scitotenv.2025.179077
- Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus E. Crosbie et al. 10.5194/acp-24-6123-2024
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al. 10.1038/s41598-025-90169-y
- Flow‐ and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations T. Matsunobu et al. 10.1002/qj.4713
- Microphysical Pathways Active Within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear A. Barrett & C. Hoose 10.1029/2022JD036965
- Sizes of atmospheric particulate matters determine the outcomes of their interactions with rainfall processes R. Maboa et al. 10.1038/s41598-022-22558-6
- An Accurate Retrieval of Cloud Droplet Effective Radius for Single-Wavelength Cloud Radar J. Du et al. 10.1109/TGRS.2024.3447002
- A Conceptual Rain Effect Model for Ku-Band Scatterometers K. Zhao et al. 10.1109/TGRS.2023.3264246
- Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al. 10.1016/j.atmosres.2024.107614
- 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
15 citations as recorded by crossref.
- The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021 C. Barthlott et al. 10.1002/qj.4687
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
- Impact of Planetary Parameters on Water Clouds Microphysics H. Yang et al. 10.3847/1538-4357/ad3242
- Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model A. Oertel et al. 10.5194/acp-23-8553-2023
- Reconciling observed and predicted droplet concentration at the Indian summer monsoon cloud base M. Varghese & T. Prabhakaran 10.1016/j.scitotenv.2025.179077
- Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus E. Crosbie et al. 10.5194/acp-24-6123-2024
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- 3D volumetric tomography of clouds using machine learning for climate analysis R. Ronen et al. 10.1038/s41598-025-90169-y
- Flow‐ and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations T. Matsunobu et al. 10.1002/qj.4713
- Microphysical Pathways Active Within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear A. Barrett & C. Hoose 10.1029/2022JD036965
- Sizes of atmospheric particulate matters determine the outcomes of their interactions with rainfall processes R. Maboa et al. 10.1038/s41598-022-22558-6
- An Accurate Retrieval of Cloud Droplet Effective Radius for Single-Wavelength Cloud Radar J. Du et al. 10.1109/TGRS.2024.3447002
- A Conceptual Rain Effect Model for Ku-Band Scatterometers K. Zhao et al. 10.1109/TGRS.2023.3264246
- Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al. 10.1016/j.atmosres.2024.107614
- 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
Latest update: 23 Apr 2025
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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