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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-129', Frederik Tack, 14 Jul 2021
    • AC1: 'Reply on RC1', Marc Schwaerzel, 31 Aug 2021
  • RC2: 'Comment on amt-2021-129', Anonymous Referee #2, 22 Jul 2021
    • AC2: 'Reply on RC2', Marc Schwaerzel, 31 Aug 2021
  • RC3: 'Comment on amt-2021-129', Anonymous Referee #1, 04 Aug 2021
    • AC3: 'Reply on RC3', Marc Schwaerzel, 31 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Marc Schwaerzel on behalf of the Authors (01 Sep 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (18 Sep 2021) by Lok Lamsal
AR by Marc Schwaerzel on behalf of the Authors (22 Sep 2021)  Author's response   Manuscript 
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.