Mesospheric nitric oxide model from SCIAMACHY data
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 indic...
Published in: | Atmospheric Chemistry and Physics |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Eurpoean Geosciences Union
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/11250/2590297 https://doi.org/10.5194/acp-19-2135-2019 |
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. publishedVersion © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. |
---|