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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, 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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Royal Netherlands Meteorological Institute (KNMI), Department of Satellite Observations, De Bilt, the Netherlands
Jeff L. Lapierre
Earth Networks, Germantown, Maryland, USA
Qian Chen
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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Xiang Kuang
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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Jinghua Chen
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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Chuan He
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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Rulin Shi
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 and Technology (NUIST), Nanjing 210044, China
Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China
Viewed
Total article views: 4,611 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,552
960
99
4,611
102
136
HTML: 3,552
PDF: 960
XML: 99
Total: 4,611
BibTeX: 102
EndNote: 136
Views and downloads (calculated since 27 Nov 2019)
Cumulative views and downloads
(calculated since 27 Nov 2019)
Total article views: 4,022 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,250
679
93
4,022
93
125
HTML: 3,250
PDF: 679
XML: 93
Total: 4,022
BibTeX: 93
EndNote: 125
Views and downloads (calculated since 07 Apr 2020)
Cumulative views and downloads
(calculated since 07 Apr 2020)
Total article views: 589 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
302
281
6
589
9
11
HTML: 302
PDF: 281
XML: 6
Total: 589
BibTeX: 9
EndNote: 11
Views and downloads (calculated since 27 Nov 2019)
Cumulative views and downloads
(calculated since 27 Nov 2019)
Viewed (geographical distribution)
Total article views: 4,611 (including HTML, PDF, and XML)
Thereof 4,353 with geography defined
and 258 with unknown origin.
Total article views: 4,022 (including HTML, PDF, and XML)
Thereof 3,841 with geography defined
and 181 with unknown origin.
Total article views: 589 (including HTML, PDF, and XML)
Thereof 512 with geography defined
and 77 with unknown origin.
Lightning NOx has a strong impact on ozone and the hydroxyl radical production. However, the production efficiency of lightning NOx is still quite uncertain. This work develops the algorithm of estimating lightning NOx for both clean and polluted regions and evaluates the sensitivity of estimates to the model setting of lightning NO. Results reveal that our method reduces the sensitivity to the background NO2 and includes much of the below-cloud LNO2.
Lightning NOx has a strong impact on ozone and the hydroxyl radical production. However, the...
