Articles | Volume 17, issue 20
https://doi.org/10.5194/amt-17-6163-2024
https://doi.org/10.5194/amt-17-6163-2024
Research article
 | 
23 Oct 2024
Research article |  | 23 Oct 2024

Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS

Sora Seo, Pieter Valks, Ronny Lutz, Klaus-Peter Heue, Pascal Hedelt, Víctor Molina García, Diego Loyola, Hanlim Lee, and Jhoon Kim

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Cited articles

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Short summary
In this study, we developed an advanced retrieval algorithm for tropospheric NO2 columns from geostationary satellite spectrometers and applied it to GEMS measurements. The DLR GEMS NO2 retrieval algorithm follows the heritage from previous and existing algorithms, but improved approaches are applied to reflect the specific features of geostationary satellites. The DLR GEMS NO2 retrievals demonstrate a good capability for monitoring diurnal variability with a high spatial resolution.
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