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: 2,942 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,134
727
81
2,942
85
101
HTML: 2,134
PDF: 727
XML: 81
Total: 2,942
BibTeX: 85
EndNote: 101
Views and downloads (calculated since 15 Nov 2021)
Cumulative views and downloads
(calculated since 15 Nov 2021)
Total article views: 2,227 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,694
480
53
2,227
75
87
HTML: 1,694
PDF: 480
XML: 53
Total: 2,227
BibTeX: 75
EndNote: 87
Views and downloads (calculated since 25 Apr 2022)
Cumulative views and downloads
(calculated since 25 Apr 2022)
Total article views: 715 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
440
247
28
715
10
14
HTML: 440
PDF: 247
XML: 28
Total: 715
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: 2,942 (including HTML, PDF, and XML)
Thereof 2,942 with geography defined
and 0 with unknown origin.
Total article views: 2,227 (including HTML, PDF, and XML)
Thereof 2,227 with geography defined
and 0 with unknown origin.
Total article views: 715 (including HTML, PDF, and XML)
Thereof 715 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...
