Articles | Volume 15, issue 11
https://doi.org/10.5194/amt-15-3481-2022
https://doi.org/10.5194/amt-15-3481-2022
Research article
 | 
10 Jun 2022
Research article |  | 10 Jun 2022

Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data

Arve Kylling, Claudia Emde, Huan Yu, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer

Data sets

Comprehensive Large Array-data Stewardship System (CLASS) NOAA https://www.avl.class.noaa.gov

Model code and software

libRadtran B. Mayer, C. Emde, J. Gasteiger, and A. Kylling http://www.libradtran.org

QDOAS T. Danckaert, C. Fayt, M. Van Roozendael, I. De Smedt, V. Letocart, A. Merlaud, and G. Pinardi https://uv-vis.aeronomie.be/software/QDOAS/

Short summary
Atmospheric trace gases such as nitrogen dioxide (NO2) may be measured by satellite instruments sensitive to solar ultraviolet–visible radiation reflected from Earth and its atmosphere. For a single pixel, clouds in neighbouring pixels may affect the radiation and hence the retrieved trace gas amount. We found that for a solar zenith angle less than about 40° this cloud-related NO2 bias is typically below 10 %, while for larger solar zenith angles the NO2 bias is on the order of tens of percent.