Echo Top Classification
Echo Top Classification is a radar meteorology method that identifies the vertical extent of precipitation echoes by determining the highest altitude at which a detectable backscatter signal associated with hydrometeors is observed, distinguishing it from other echo classification techniques by focusing specifically on the temporal and spatial evolution of echo upper boundaries.
5
Publications
111
Citations
17
Authors
8
Institutions
Publications per year
2017–2026
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Parents
5
Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data
Mingyue Lu, Yadong Zhang, Min Chen et al. · Remote Sensing · 2022 · 10 citations · Full text
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Nanjing University of Information Science and Technology, China
1 publications · 10 citations
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1–5 of 17
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Japan Agency for Marine-Earth Science and Technology
Yokosuka, Japan
1 h-index
1 publications
26 citations
The Blue Hill Meteorological Observatory
Milton, United States
1 h-index
1 publications
25 citations
Jiangxi Mental Health Center
Nanchang, China
1 h-index
1 publications
29 citations
Osaka Prefecture University
Sakai, Japan
1 h-index
1 publications
26 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
10 citations
Nanjing Normal University
Nanjing, China
1 h-index
1 publications
10 citations
Colorado State University
Fort Collins, United States
1 h-index
3 publications
78 citations

Nanjing University of Information Science and Technology
Nanjing, China
1 h-index
3 publications
30 citations
1–8 of 8
1 publications · 29 citations
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1 publications · 21 citations
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1 publications · 26 citations
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1 publications · 10 citations
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1 publications · 25 citations
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