Mesospheric nitric oxide model from SCIAMACHY data

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

doi:https://doi.org/10.5194/acp-19-2135-2019

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

Data sets

SCIAMACHY NO regression fit MCMC samples S. Bender https://doi.org/10.5281/zenodo.1342701

Model code and software

st-bender/sciapy: Version 0.0.5 S. Bender https://doi.org/10.5281/zenodo.1401370

Nitric oxide (NO) data set (60-160 km) from SCIAMACHY nominal limb scans S. Bender, M. Sinnhuber, J. P. Burrows, and M. Langowski https://doi.org/10.5281/zenodo.804371

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.