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: 2,817 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,913
829
75
2,817
282
72
101
HTML: 1,913
PDF: 829
XML: 75
Total: 2,817
Supplement: 282
BibTeX: 72
EndNote: 101
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Total article views: 2,007 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,455
492
60
2,007
128
69
92
HTML: 1,455
PDF: 492
XML: 60
Total: 2,007
Supplement: 128
BibTeX: 69
EndNote: 92
Views and downloads (calculated since 27 Jul 2021)
Cumulative views and downloads
(calculated since 27 Jul 2021)
Total article views: 810 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
458
337
15
810
154
3
9
HTML: 458
PDF: 337
XML: 15
Total: 810
Supplement: 154
BibTeX: 3
EndNote: 9
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Viewed (geographical distribution)
Total article views: 2,817 (including HTML, PDF, and XML)
Thereof 2,799 with geography defined
and 18 with unknown origin.
Total article views: 2,007 (including HTML, PDF, and XML)
Thereof 2,007 with geography defined
and 0 with unknown origin.
Total article views: 810 (including HTML, PDF, and XML)
Thereof 777 with geography defined
and 33 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...
