Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 4
Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2135-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-2135-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 4
Research article
 | 
18 Feb 2019
Research article |  | 18 Feb 2019

Mesospheric nitric oxide model from SCIAMACHY data

Stefan Bender, Miriam Sinnhuber, Patrick J. Espy, and John P. Burrows

Viewed

Total article views: 2,954 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,191 693 70 2,954 81 110
  • HTML: 2,191
  • PDF: 693
  • XML: 70
  • Total: 2,954
  • BibTeX: 81
  • EndNote: 110
Views and downloads (calculated since 22 Oct 2018)
Cumulative views and downloads (calculated since 22 Oct 2018)

Viewed (geographical distribution)

Total article views: 2,954 (including HTML, PDF, and XML) Thereof 2,861 with geography defined and 93 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Jul 2025
Download
Short summary
We present an empirical model for nitric oxide (NO) in the mesosphere (60–90 km) derived from SCIAMACHY limb scan data. Our model relates the daily (longitudinally) averaged NO number densities from SCIAMACHY as a function of geomagnetic latitude to the solar Lyman-alpha and the geomagnetic AE indices. We use a non-linear regression model, incorporating a finite and seasonally varying lifetime for the geomagnetically induced NO.
Read more
Share
Altmetrics
Final-revised paper
Preprint