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: 3,194 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,214
890
90
3,194
331
94
127
HTML: 2,214
PDF: 890
XML: 90
Total: 3,194
Supplement: 331
BibTeX: 94
EndNote: 127
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Total article views: 2,354 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,735
545
74
2,354
151
90
117
HTML: 1,735
PDF: 545
XML: 74
Total: 2,354
Supplement: 151
BibTeX: 90
EndNote: 117
Views and downloads (calculated since 27 Jul 2021)
Cumulative views and downloads
(calculated since 27 Jul 2021)
Total article views: 840 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
479
345
16
840
180
4
10
HTML: 479
PDF: 345
XML: 16
Total: 840
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: 3,194 (including HTML, PDF, and XML)
Thereof 3,165 with geography defined
and 29 with unknown origin.
Total article views: 2,354 (including HTML, PDF, and XML)
Thereof 2,354 with geography defined
and 0 with unknown origin.
Total article views: 840 (including HTML, PDF, and XML)
Thereof 808 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...