Articles | Volume 16, issue 14
https://doi.org/10.5194/acp-16-9235-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-9235-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jul 2016
Research article |
| 28 Jul 2016
Theoretical study of mixing in liquid clouds – Part 1: Classical concepts
Environment and Climate Change Canada, Cloud Physics and Severe Weather Section,
Toronto, Canada
Alex Khain
Department of Atmospheric Sciences, the Hebrew University of
Jerusalem, Jerusalem, Israel
Mark Pinsky
Department of Atmospheric Sciences, the Hebrew University of
Jerusalem, Jerusalem, Israel
Jeffrey French
University of Wyoming, Laramie, WY, USA
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- Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6) R. Pathak et al. 10.3389/fclim.2021.670740
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- About the horizontal variability of effective radius in stratocumulus clouds L. Magaritz‐Ronen et al. 10.1002/2016JD024977
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29 citations as recorded by crossref.
- Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon L. Hernández Pardo et al. 10.1029/2021JD035076
- Impacts of Drop Clustering and Entrainment‐Mixing on Mixed Phase Shallow Cloud Properties Over the Southern Ocean: Results From SOCRATES J. D’Alessandro & G. McFarquhar 10.1029/2023JD038622
- A filter-based Raman spectrometer for non-invasive imaging of atmospheric water vapor T. Kieft et al. 10.1063/5.0078784
- Between Broadening and Narrowing: How Mixing Affects the Width of the Droplet Size Distribution J. Lim & F. Hoffmann 10.1029/2022JD037900
- Theoretical analysis of mixing in liquid clouds – Part 3: Inhomogeneous mixing M. Pinsky et al. 10.5194/acp-16-9273-2016
- An improved algorithm of cloud droplet size distribution from POLDER polarized measurements H. Shang et al. 10.1016/j.rse.2019.04.013
- Cloud thermodynamic phase detection using a directional polarimetric camera (DPC) H. Shang et al. 10.1016/j.jqsrt.2020.107179
- Illustration of microphysical processes in Amazonian deep convective clouds in the gamma phase space: introduction and potential applications M. Cecchini et al. 10.5194/acp-17-14727-2017
- Scale Dependence of Cloud Microphysical Response to Turbulent Entrainment and Mixing B. Kumar et al. 10.1029/2018MS001487
- Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6) R. Pathak et al. 10.3389/fclim.2021.670740
- Theoretical Analysis of Liquid–Ice Interaction in the Unsaturated Environment with Application to the Problem of Homogeneous Mixing M. Pinsky et al. 10.1175/JAS-D-17-0228.1
- Theoretical analysis of mixing in liquid clouds – Part IV: DSD evolution and mixing diagrams M. Pinsky & A. Khain 10.5194/acp-18-3659-2018
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Liquid‐Ice Mass Partitioning Across the Edge of Mixed‐Phase Cumulus Clouds G. Zhao et al. 10.1029/2023GL106378
- Cloud Edge Properties Measured by the ARM Shortwave Spectrometer Over Ocean and Land W. Yang et al. 10.1029/2019JD030622
- Theoretical investigation of mixing in warm clouds – Part 2: Homogeneous mixing M. Pinsky et al. 10.5194/acp-16-9255-2016
- Physical Interpretation of Mixing Diagrams A. Khain et al. 10.1002/2017JD027124
- Theoretical Analysis of the Entrainment–Mixing Process at Cloud Boundaries. Part I: Droplet Size Distributions and Humidity within the Interface Zone M. Pinsky & A. Khain 10.1175/JAS-D-17-0308.1
- A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols K. Smalley & A. Rapp 10.5194/acp-21-2765-2021
- Core and margin in warm convective clouds – Part 1: Core types and evolution during a cloud's lifetime R. Heiblum et al. 10.5194/acp-19-10717-2019
- An Evaluation of Phase, Aerosol‐Cloud Interactions and Microphysical Properties of Single‐ and Multi‐Layer Clouds Over the Southern Ocean Using in Situ Observations From SOCRATES J. D’Alessandro et al. 10.1029/2023JD038610
- Conditions for super-adiabatic droplet growth after entrainment mixing F. Yang et al. 10.5194/acp-16-9421-2016
- The Role of Cloud Size and Environmental Moisture in Shallow Cumulus Precipitation K. Smalley & A. Rapp 10.1175/JAMC-D-19-0145.1
- Analytical Investigation of the Role of Lateral Mixing in the Evolution of Nonprecipitating Cumulus. Part I: Developing Clouds M. Pinsky & A. Khain 10.1175/JAS-D-19-0036.1
- Sensitivities of Amazonian clouds to aerosols and updraft speed M. Cecchini et al. 10.5194/acp-17-10037-2017
- A General Description of Entrainment in Buoyant Cloudy Plumes Including the Effects of Mixing-Induced Evaporation J. Savre & M. Herzog 10.1175/JAS-D-17-0326.1
- Analytical Investigation of the Role of Lateral Mixing in the Evolution of Nonprecipitating Cumulus. Part II: Dissolving Stage M. Pinsky & A. Khain 10.1175/JAS-D-19-0118.1
- The Single Column Atmosphere Model Version 6 (SCAM6): Not a Scam but a Tool for Model Evaluation and Development A. Gettelman et al. 10.1029/2018MS001578
- The Effects of Aerosol on Small‐Scale Cloud‐Environment Mixing: Implications for Simulating and Observing Inhomogeneous Mixing J. Kainz & F. Hoffmann 10.1029/2023JD038509
3 citations as recorded by crossref.
- Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al. 10.1029/2019JD031817
- About the horizontal variability of effective radius in stratocumulus clouds L. Magaritz‐Ronen et al. 10.1002/2016JD024977
- Effects of Lateral Entrainment Mixing With Entrained Aerosols on Cloud Microphysics J. Chen et al. 10.1029/2020GL087667
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Short summary
Relationships between basic microphysical parameters are studied within the framework of homogeneous and extreme inhomogeneous mixing. Analytical expressions and numerical simulations of relationships between droplet concentration, extinction coefficient, liquid water content, and mean volume droplet size are presented. The obtained relationships between moments are used to identify type of mixing for in situ observations obtained in convective clouds.
Relationships between basic microphysical parameters are studied within the framework of...
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