Articles | Volume 18, issue 10
https://doi.org/10.5194/acp-18-7313-2018
© Author(s) 2018. 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-18-7313-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2018
Research article |
| 25 May 2018
| 25 May 2018
Cloud droplet size distribution broadening during diffusional growth: ripening amplified by deactivation and reactivation
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Pavlos Kollias
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York, USA
Raymond A. Shaw
Department of Physics, Michigan Technological University, Houghton, Michigan, USA
Andrew M. Vogelmann
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
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- On numerical broadening of particle-size spectra: a condensational growth study using PyMPDATA 1.0 M. Olesik et al. 10.5194/gmd-15-3879-2022
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- Droplet size distributions in turbulent clouds: experimental evaluation of theoretical distributions K. Chandrakar et al. 10.1002/qj.3692
- An Intercomparison of Large‐Eddy Simulations of a Convection Cloud Chamber Using Haze‐Capable Bin and Lagrangian Cloud Microphysics Schemes F. Yang et al. 10.1029/2022MS003270
- Influence of NaCl concentration on the optical scattering properties of water-based aerosols C. Pattyn et al. 10.1364/AO.492544
- Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China Y. Wang et al. 10.1029/2022JD037514
- Impact of aerosols and turbulence on cloud droplet growth: an in-cloud seeding case study using a parcel–DNS (direct numerical simulation) approach S. Chen et al. 10.5194/acp-20-10111-2020
- Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon L. Hernández Pardo et al. 10.1029/2021JD035076
- The Influence of Hygroscopic Flare Seeding on Drop Size Distribution Over Southeast Queensland S. Tessendorf et al. 10.1029/2020JD033771
- Estimation of Diffusional Growth Rate and Reassessing Existing Parameterizations for Monsoon Precipitating Clouds: A Process-Based Approach M. Bhowmik et al. 10.1007/s00024-025-03686-2
- Search for Microphysical Signatures of Stochastic Condensation in Marine Boundary Layer Clouds Using Airborne Digital Holography N. Desai et al. 10.1029/2018JD029033
- Mechanism Study of Two-Dimensional Precipitation Diagnostic Models Within a Dynamic Framework X. Wei et al. 10.3390/atmos16040380
- Observed and Bin Model Simulated Evolution of Drop Size Distributions in High‐Based Cumulus Congestus Over the United Arab Emirates H. Morrison et al. 10.1029/2021JD035711
- Condensational and Collisional Growth of Cloud Droplets in a Turbulent Environment X. Li et al. 10.1175/JAS-D-19-0107.1
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- Dispersion of Droplet Size Distributions in Supercooled Non‐precipitating Stratocumulus from Aircraft Observations Obtained during the Southern Ocean Cloud Radiation Aerosol Transport Experimental Study Y. Wang et al. 10.1029/2020JD033720
- A new approach to estimate supersaturation fluctuations in stratocumulus cloud using ground-based remote-sensing measurements F. Yang et al. 10.5194/amt-12-5817-2019
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber S. Thomas et al. 10.1029/2019MS001670
Latest update: 02 Apr 2025
Short summary
Cloud droplet size distribution (CDSD), which is related to cloud albedo and lifetime, is usually observed broader than predicted from adiabatic parcel calculations. Results in this study show that the CDSD can be broadened during condensational growth as a result of Ostwald ripening amplified by droplet deactivation and reactivation. Our results suggest that it is important to consider both curvature and solute effects before and after cloud droplet activation in a 3-D cloud model.
Cloud droplet size distribution (CDSD), which is related to cloud albedo and lifetime, is...
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