Articles | Volume 15, issue 12
Atmos. Meas. Tech., 15, 3721–3745, 2022
https://doi.org/10.5194/amt-15-3721-2022
Atmos. Meas. Tech., 15, 3721–3745, 2022
https://doi.org/10.5194/amt-15-3721-2022
Research article
23 Jun 2022
Research article | 23 Jun 2022

An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations

Kang Sun et al.

Data sets

Level 2 data for SCIAMACHY airglow retrieval in 2010 Kang Sun https://doi.org/10.7910/DVN/T1WRWQ

Model code and software

Kang-Sun-CfA/Methane: airglowOE.py for the AMT paper (1.1) Kang Sun https://doi.org/10.5281/zenodo.6658123

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Short summary
This study of upper atmospheric airglow from oxygen is motivated by the need to measure oxygen simultaneously with methane and CO2 in satellite remote sensing. We provide an accurate understanding of the spatial, temporal, and spectral distribution of airglow emissions, which will help in the satellite remote sensing of greenhouse gases and constraining the chemical and physical processes in the upper atmosphere.