Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
Nanjing Joint Institute for Atmospheric Sciences, Nanjing, China
Key Laboratory of Transportation Meteorology, CMA, Nanjing, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
Environmental and Climate Sciences Department, Brookhaven National
Laboratory, Upton, USA
Shi Luo
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
College of Aviation Meteorology, Civil Aviation Flight University of China, Guanghan, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
Yuan Wang
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China
Viewed
Total article views: 3,043 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,210
745
88
3,043
92
109
HTML: 2,210
PDF: 745
XML: 88
Total: 3,043
BibTeX: 92
EndNote: 109
Views and downloads (calculated since 15 Nov 2021)
Cumulative views and downloads
(calculated since 15 Nov 2021)
Total article views: 2,315 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,760
495
60
2,315
82
95
HTML: 1,760
PDF: 495
XML: 60
Total: 2,315
BibTeX: 82
EndNote: 95
Views and downloads (calculated since 25 Apr 2022)
Cumulative views and downloads
(calculated since 25 Apr 2022)
Total article views: 728 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
450
250
28
728
10
14
HTML: 450
PDF: 250
XML: 28
Total: 728
BibTeX: 10
EndNote: 14
Views and downloads (calculated since 15 Nov 2021)
Cumulative views and downloads
(calculated since 15 Nov 2021)
Viewed (geographical distribution)
Total article views: 3,043 (including HTML, PDF, and XML)
Thereof 3,043 with geography defined
and 0 with unknown origin.
Total article views: 2,315 (including HTML, PDF, and XML)
Thereof 2,315 with geography defined
and 0 with unknown origin.
Total article views: 728 (including HTML, PDF, and XML)
Thereof 728 with geography defined
and 0 with unknown origin.
A new entrainment–mixing parameterization which can be directly implemented in microphysics schemes without requiring the relative humidity of the entrained air is proposed based on the explicit mixing parcel model. The parameterization is implemented in the two-moment microphysics scheme and exhibits different effects on different types of clouds and even on different stages of stratocumulus clouds, which are affected by turbulent dissipation rate and aerosol concentration.
A new entrainment–mixing parameterization which can be directly implemented in microphysics...