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: 2,857 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,940
839
78
2,857
289
77
105
HTML: 1,940
PDF: 839
XML: 78
Total: 2,857
Supplement: 289
BibTeX: 77
EndNote: 105
Views and downloads (calculated since 27 Apr 2021)
Cumulative views and downloads
(calculated since 27 Apr 2021)
Total article views: 2,045 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,480
502
63
2,045
133
74
96
HTML: 1,480
PDF: 502
XML: 63
Total: 2,045
Supplement: 133
BibTeX: 74
EndNote: 96
Views and downloads (calculated since 27 Jul 2021)
Cumulative views and downloads
(calculated since 27 Jul 2021)
Total article views: 812 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
460
337
15
812
156
3
9
HTML: 460
PDF: 337
XML: 15
Total: 812
Supplement: 156
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: 2,857 (including HTML, PDF, and XML)
Thereof 2,843 with geography defined
and 14 with unknown origin.
Total article views: 2,045 (including HTML, PDF, and XML)
Thereof 2,045 with geography defined
and 0 with unknown origin.
Total article views: 812 (including HTML, PDF, and XML)
Thereof 780 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...