Articles | Volume 21, issue 14
https://doi.org/10.5194/acp-21-11225-2021
© Author(s) 2021. 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-21-11225-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2021
Research article |
| 27 Jul 2021
| 27 Jul 2021
Comprehensive quantification of height dependence of entrainment mixing between stratiform cloud top and environment
Sinan Gao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science & Technology, Nanjing, China
Chunsong Lu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science & Technology, Nanjing, China
Yangang Liu
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, NY, US
Seong Soo Yum
Department of Atmospheric Sciences, Yonsei University, Seoul, South
Korea
Jiashan Zhu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science & Technology, Nanjing, China
Lei Zhu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science & Technology, Nanjing, China
Neel Desai
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, NY, US
now at:
Department of Meteorology and Climate Science, San Jose State University,
San Jose, CA, USA
Yongfeng Ma
Department of Mechanics & Aerospace Engineering, Southern
University of Science and Technology, Shenzhen, China
Shang Wu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science & Technology, Nanjing, China
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Cited
11 citations as recorded by crossref.
- Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain K. Cui et al. 10.1016/j.atmosenv.2025.121244
- Influences of an entrainment–mixing parameterization on numerical simulations of cumulus and stratocumulus clouds X. Xu et al. 10.5194/acp-22-5459-2022
- The Role of Sea Breeze in the Coastal Stratocumulus Dissipation Transition in Antofagasta and San Diego G. Pallauta Pérez et al. 10.3390/atmos16040437
- Aircraft-based observations of ice concentrations in a midlatitude mixed-phase stratiform cloud system with embedded convection T. Hou et al. 10.1016/j.atmosres.2022.106471
- Relationships between Cloud Droplet Spectral Relative Dispersion and Entrainment Rate and Their Impacting Factors S. Luo et al. 10.1007/s00376-022-1419-5
- Parameterization of Entrainment Rate for Cumulus Clouds with WRF Simulation X. Guo et al. 10.3390/atmos14081285
- Observational evidence of aerosol-warm cloud interaction over two urban locations in eastern India S. Kant et al. 10.1007/s11707-024-1124-z
- 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
- In-situ aircraft observations of aerosol and cloud microphysical characteristics of mixed-phase clouds over the North China Plain K. Cui et al. 10.1016/j.scitotenv.2024.175248
- 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
- Cloud Top Radiative Cooling Rate Drives Non‐Precipitating Stratiform Cloud Responses to Aerosol Concentration A. Williams & A. Igel 10.1029/2021GL094740
11 citations as recorded by crossref.
- Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain K. Cui et al. 10.1016/j.atmosenv.2025.121244
- Influences of an entrainment–mixing parameterization on numerical simulations of cumulus and stratocumulus clouds X. Xu et al. 10.5194/acp-22-5459-2022
- The Role of Sea Breeze in the Coastal Stratocumulus Dissipation Transition in Antofagasta and San Diego G. Pallauta Pérez et al. 10.3390/atmos16040437
- Aircraft-based observations of ice concentrations in a midlatitude mixed-phase stratiform cloud system with embedded convection T. Hou et al. 10.1016/j.atmosres.2022.106471
- Relationships between Cloud Droplet Spectral Relative Dispersion and Entrainment Rate and Their Impacting Factors S. Luo et al. 10.1007/s00376-022-1419-5
- Parameterization of Entrainment Rate for Cumulus Clouds with WRF Simulation X. Guo et al. 10.3390/atmos14081285
- Observational evidence of aerosol-warm cloud interaction over two urban locations in eastern India S. Kant et al. 10.1007/s11707-024-1124-z
- 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
- In-situ aircraft observations of aerosol and cloud microphysical characteristics of mixed-phase clouds over the North China Plain K. Cui et al. 10.1016/j.scitotenv.2024.175248
- 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
- Cloud Top Radiative Cooling Rate Drives Non‐Precipitating Stratiform Cloud Responses to Aerosol Concentration A. Williams & A. Igel 10.1029/2021GL094740
Latest update: 05 Jul 2025
Short summary
Only a few studies have been focused on the vertical variation of entrainment mixing with low resolutions which are crucial to cloud-related processes. A sawtooth pattern allows for an examination of mixing with high vertical resolution. A new measure is introduced to estimate entrainment mixing to overcome difficulties in existing measures, where vertical profile indicates that entrainment mixing becomes more homogeneous with decreasing altitudes, consistent with the dynamical measures.
Only a few studies have been focused on the vertical variation of entrainment mixing with low...
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