Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-41-2024
https://doi.org/10.5194/acp-24-41-2024
Research article
 | 
04 Jan 2024
Research article |  | 04 Jan 2024

Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies

Peiyang Cheng, Arastoo Pour-Biazar, Yuling Wu, Shi Kuang, Richard T. McNider, and William J. Koshak

Viewed

Total article views: 4,282 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,801 1,306 175 4,282 397 187 302
  • HTML: 2,801
  • PDF: 1,306
  • XML: 175
  • Total: 4,282
  • Supplement: 397
  • BibTeX: 187
  • EndNote: 302
Views and downloads (calculated since 28 Jun 2023)
Cumulative views and downloads (calculated since 28 Jun 2023)

Viewed (geographical distribution)

Total article views: 4,282 (including HTML, PDF, and XML) Thereof 4,282 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 17 Jul 2026
Download
Short summary
Lightning-induced nitrogen monoxide (LNO) emission can be estimated from geostationary satellite observations. The present study uses the LNO emission estimates derived from geostationary satellite observations in an air quality modeling system to investigate the impact of LNO on air quality. Results indicate that significant ozone increase could be due to long-distance chemical transport, lightning activity in the upwind direction, and the mixing of high LNO (or ozone) plumes.
Share
Altmetrics
Final-revised paper
Preprint