DARCLOS: a cloud shadow detection algorithm for TROPOMI

Trees, Victor J. H.; Wang, Ping; Stammes, Piet; Tilstra, Lieuwe G.; Donovan, David P.; Siebesma, A. Pier

doi:https://doi.org/10.5194/amt-15-3121-2022

Articles | Volume 15, issue 10

https://doi.org/10.5194/amt-15-3121-2022

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

https://doi.org/10.5194/amt-15-3121-2022

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

Articles | Volume 15, issue 10

Research article

|

19 May 2022

Research article |

| 19 May 2022

DARCLOS: a cloud shadow detection algorithm for TROPOMI

Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma

Data sets

TROPOMI Level 2 Nitrogen Dioxide total column products Copernicus Sentinel-5P https://doi.org/10.5270/S5P-s4ljg54

Short summary

Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial resolution. These shadows contaminate TROPOMI's air quality measurements, because shadows are generally not taken into account in the models that are used for aerosol and trace gas retrievals. We present the Detection AlgoRithm for CLOud Shadows (DARCLOS) for TROPOMI, which is the first cloud shadow detection algorithm for a satellite spectrometer.