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
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
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
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
Viewed
Total article views: 3,181 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,206
886
89
3,181
331
94
125
HTML: 2,206
PDF: 886
XML: 89
Total: 3,181
Supplement: 331
BibTeX: 94
EndNote: 125
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Total article views: 2,343 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,727
542
74
2,343
151
90
115
HTML: 1,727
PDF: 542
XML: 74
Total: 2,343
Supplement: 151
BibTeX: 90
EndNote: 115
Views and downloads (calculated since 27 Jul 2021)
Cumulative views and downloads
(calculated since 27 Jul 2021)
Total article views: 838 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
479
344
15
838
180
4
10
HTML: 479
PDF: 344
XML: 15
Total: 838
Supplement: 180
BibTeX: 4
EndNote: 10
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Viewed (geographical distribution)
Total article views: 3,181 (including HTML, PDF, and XML)
Thereof 3,153 with geography defined
and 28 with unknown origin.
Total article views: 2,343 (including HTML, PDF, and XML)
Thereof 2,343 with geography defined
and 0 with unknown origin.
Total article views: 838 (including HTML, PDF, and XML)
Thereof 806 with geography defined
and 32 with unknown origin.
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...
