Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-6259-2026
https://doi.org/10.5194/gmd-19-6259-2026
Model description paper
 | 
13 Jul 2026
Model description paper |  | 13 Jul 2026

The Boundary Layer Dispersion and Footprint Model: a fast numerical solver of the Eulerian steady-state advection-diffusion equation

Mark Schlutow, Ray Chew, and Mathias Göckede

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-2415', Anonymous Referee #1, 04 Oct 2025
    • AC1: 'Reply on RC1', Mark Schlutow, 18 Dec 2025
  • RC2: 'Comment on egusphere-2025-2415', Anonymous Referee #2, 23 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Mark Schlutow on behalf of the Authors (19 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Jan 2026) by Jinkyu Hong
RR by Anonymous Referee #1 (06 Jan 2026)
RR by Anonymous Referee #3 (29 Apr 2026)
ED: Publish subject to minor revisions (review by editor) (02 May 2026) by Jinkyu Hong
AR by Mark Schlutow on behalf of the Authors (21 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (28 May 2026) by Jinkyu Hong
AR by Mark Schlutow on behalf of the Authors (22 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Jun 2026) by Jinkyu Hong
AR by Mark Schlutow on behalf of the Authors (28 Jun 2026)
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Short summary
Understanding how greenhouse gases and pollutants move through the atmosphere is crucial. A new model, the Boundary Layer Dispersion and Footprint Model (BLDFM), tracks their movement. Unlike previous models, BLDFM uses a numerical approach without simplifying assumptions. It is flexible and can be used for climate impact studies and industrial emissions monitoring. Our testing and comparison results show BLDFM's potential as a valuable research tool.
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