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...

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Bibliographic Details
Published in:Atmospheric Chemistry and Physics
Main Authors: Bender, Stefan, Sinnhuber, M, Espy, Patrick Joseph, Burrows, John P.
Format: Article in Journal/Newspaper
Language:English
Published: Eurpoean Geosciences Union 2019
Subjects:
Atmosfærefysikk
Atmospheric physics
Polar Atmosfære/Geofysikk: Nordlys
Partikkelnedbør
Plasma
Polar Amosphere/Geophysic: Aurora
Particle Precipitation
VDP::Fysikk: 430
VDP::Physics: 430
nordlys
Online Access:http://hdl.handle.net/11250/2590297
https://doi.org/10.5194/acp-19-2135-2019
Description
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.

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