Articles | Volume 20, issue 17
https://doi.org/10.5194/acp-20-10111-2020
© Author(s) 2020. 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-20-10111-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of aerosols and turbulence on cloud droplet growth: an in-cloud seeding case study using a parcel–DNS (direct numerical simulation) approach
National Center for Atmospheric Research, Boulder, Colorado, USA
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, Canada
Lulin Xue
National Center for Atmospheric Research, Boulder, Colorado, USA
Hua Xin Chuang Zhi Science and Technology LLC, Beijing, China
Man-Kong Yau
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, Canada
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- Hygroscopic Ground-Based Generator Cloud Seeding Design; A Case Study from the 2020 Weather Modification in Larona Basin Indonesia F. Renggono et al. 10.3390/atmos13060968
- Cloud radar perspective on tropical warm clouds associated with summer monsoon rainfall and warm rain onset process P. Sukanya & M. Kalapureddy 10.1016/j.atmosres.2022.106351
- Numerical Simulations of Cloud Number Concentration and Ice Nuclei Influence on Cloud Processes and Seeding Effects W. Fang et al. 10.3390/atmos13111792
- Salt Lake Aerosol Overview: Emissions, Chemical Composition and Health Impacts under the Changing Climate M. Abbas et al. 10.3390/atmos15020212
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- CCN activation in homogeneous isotropic turbulence: Response to particle characteristics and environmental conditions L. Thomas et al. 10.1016/j.atmosres.2023.107095
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Analysis of aerosol–cloud interactions and their implications for precipitation formation using aircraft observations over the United Arab Emirates Y. Wehbe et al. 10.5194/acp-21-12543-2021
- Multiple Consequences Related to Atmospheric Turbulence Induced by the Climate Change in the Heatwaves Emergence and in the Cooling Effect of Aerosols P. Roman 10.11648/j.ijema.20241203.11
- Observational study of relationships between entrainment rate, homogeneity of mixing, and cloud droplet relative dispersion C. Lu et al. 10.1016/j.atmosres.2023.106900
- Mixed-phase direct numerical simulation: ice growth in cloud-top generating cells S. Chen et al. 10.5194/acp-23-5217-2023
- Hygroscopic Seeding Effects of Giant Aerosol Particles Simulated by the Lagrangian‐Particle‐Based Direct Numerical Simulation S. Chen et al. 10.1029/2021GL094621
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- Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model M. Bhowmik et al. 10.1007/s00382-024-07243-w
18 citations as recorded by crossref.
- A numerical simulation of CCN impacts on weather modification efficiency X. Lou et al. 10.3389/fenvs.2023.1181207
- Investigation of raindrop size distribution and its potential influential factors during warm season over China Y. Han et al. 10.1016/j.atmosres.2022.106248
- Hygroscopic Ground-Based Generator Cloud Seeding Design; A Case Study from the 2020 Weather Modification in Larona Basin Indonesia F. Renggono et al. 10.3390/atmos13060968
- Cloud radar perspective on tropical warm clouds associated with summer monsoon rainfall and warm rain onset process P. Sukanya & M. Kalapureddy 10.1016/j.atmosres.2022.106351
- Numerical Simulations of Cloud Number Concentration and Ice Nuclei Influence on Cloud Processes and Seeding Effects W. Fang et al. 10.3390/atmos13111792
- Salt Lake Aerosol Overview: Emissions, Chemical Composition and Health Impacts under the Changing Climate M. Abbas et al. 10.3390/atmos15020212
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- CCN activation in homogeneous isotropic turbulence: Response to particle characteristics and environmental conditions L. Thomas et al. 10.1016/j.atmosres.2023.107095
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Analysis of aerosol–cloud interactions and their implications for precipitation formation using aircraft observations over the United Arab Emirates Y. Wehbe et al. 10.5194/acp-21-12543-2021
- Multiple Consequences Related to Atmospheric Turbulence Induced by the Climate Change in the Heatwaves Emergence and in the Cooling Effect of Aerosols P. Roman 10.11648/j.ijema.20241203.11
- Observational study of relationships between entrainment rate, homogeneity of mixing, and cloud droplet relative dispersion C. Lu et al. 10.1016/j.atmosres.2023.106900
- Mixed-phase direct numerical simulation: ice growth in cloud-top generating cells S. Chen et al. 10.5194/acp-23-5217-2023
- Hygroscopic Seeding Effects of Giant Aerosol Particles Simulated by the Lagrangian‐Particle‐Based Direct Numerical Simulation S. Chen et al. 10.1029/2021GL094621
- An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy,” a New n‐Moment Bulk Microphysics Scheme M. Bieli et al. 10.1029/2022MS002994
- Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study K. Lin et al. 10.5194/acp-23-10423-2023
- The Influence of Hygroscopic Flare Seeding on Drop Size Distribution Over Southeast Queensland S. Tessendorf et al. 10.1029/2020JD033771
- Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model M. Bhowmik et al. 10.1007/s00382-024-07243-w
Latest update: 16 Aug 2024
Short summary
This study employs a parcel–DNS (direct numerical simulation) modeling framework to accurately resolve the aerosol–droplet–turbulence interactions in an ascending air parcel. The effect of turbulence, aerosol hygroscopicity, and aerosol mass loading on droplet growth and rain formation is investigated through a series of in-cloud seeding experiments in which hygroscopic particles were seeded near the cloud base.
This study employs a parcel–DNS (direct numerical simulation) modeling framework to accurately...
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