Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2135-2019
https://doi.org/10.5194/acp-19-2135-2019
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

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Stefan Bender on behalf of the Authors (31 Jan 2019)  Author's response   Manuscript 
ED: Publish as is (05 Feb 2019) by Franz-Josef Lübken
AR by Stefan Bender on behalf of the Authors (06 Feb 2019)
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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.
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