Impact of 3D cloud structures on the atmospheric trace gas  products from UV–Vis sounders – Part 1: Synthetic dataset for  validation of  trace gas retrieval algorithms

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

doi:https://doi.org/10.5194/amt-15-1587-2022

Articles | Volume 15, issue 5

https://doi.org/10.5194/amt-15-1587-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-1587-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 5

Research article

|

18 Mar 2022

Research article |

| 18 Mar 2022

Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms

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

Data sets

Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders: Synthetic dataset for validation of trace gas retrieval algorithms Claudia Emde https://doi.org/10.5281/zenodo.5567616

Short summary

Retrievals of trace gas concentrations from satellite observations can be affected by clouds in the vicinity, either by shadowing or by scattering of radiation from clouds in the clear region. We used a Monte Carlo radiative transfer model to generate synthetic satellite observations, which we used to test retrieval algorithms and to quantify the error of retrieved NO₂ vertical column density due to cloud scattering.