Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Shuqi Niu
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Shaoyang Sun
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Leilei Kou
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Yanqing Xie
Shanghai Academy of Spaceflight Technology, Shanghai, 201109, China
Liguo Zhang
Shanghai Academy of Spaceflight Technology, Shanghai, 201109, China
Lingbing Bu
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
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Total article views: 2,481 (including HTML, PDF, and XML)
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Total article views: 1,686 (including HTML, PDF, and XML)
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Total article views: 795 (including HTML, PDF, and XML)
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Ultraviolet imaging technology has significantly advanced the research and development of polar mesospheric clouds (PMCs). In this study, we proposed the wide-field-of-view ultraviolet imager (WFUI) and built a forward model to evaluate the detection capability and efficiency. The results demonstrate that the WFUI performs well in PMC detection and has high detection efficiency. The relationship between ice water content and detection efficiency follows an exponential function distribution.
Ultraviolet imaging technology has significantly advanced the research and development of polar...
