Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-6469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Research article
 | 
08 Oct 2021
Research article |  | 08 Oct 2021

Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings

Marc Schwaerzel, Dominik Brunner, Fabian Jakub, Claudia Emde, Brigitte Buchmann, Alexis Berne, and Gerrit Kuhlmann

Viewed

Total article views: 2,746 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,874 788 84 2,746 218 104 121
  • HTML: 1,874
  • PDF: 788
  • XML: 84
  • Total: 2,746
  • Supplement: 218
  • BibTeX: 104
  • EndNote: 121
Views and downloads (calculated since 02 Jul 2021)
Cumulative views and downloads (calculated since 02 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,746 (including HTML, PDF, and XML) Thereof 2,587 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Oct 2025
Download
Short summary
NO2 maps from airborne imaging remote sensing often appear much smoother than one would expect from high-resolution model simulations of NO2 over cities, despite the small ground-pixel size of the sensors. Our case study over Zurich, using the newly implemented building module of the MYSTIC radiative transfer solver, shows that the 3D effect can explain part of the smearing and that building shadows cause a noticeable underestimation and noise in the measured NO2 columns.
Read more
Share