Articles | Volume 17, issue 9
Model description paper
15 May 2024
Model description paper |  | 15 May 2024

FUME 2.0 – Flexible Universal processor for Modeling Emissions

Michal Belda, Nina Benešová, Jaroslav Resler, Peter Huszár, Ondřej Vlček, Pavel Krč, Jan Karlický, Pavel Juruš, and Kryštof Eben


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2740', Anonymous Referee #1, 30 Jan 2024
    • AC1: 'Reply on RC1', Michal Belda, 22 Feb 2024
  • RC2: 'Comment on egusphere-2023-2740', Anonymous Referee #2, 05 Mar 2024
    • AC2: 'Reply on RC2', Michal Belda, 13 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Michal Belda on behalf of the Authors (13 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Mar 2024) by Christoph Knote
RR by Anonymous Referee #2 (30 Mar 2024)
ED: Publish as is (03 Apr 2024) by Christoph Knote
AR by Michal Belda on behalf of the Authors (03 Apr 2024)
Short summary
For modeling atmospheric chemistry, it is necessary to provide data on emissions of pollutants. These can come from various sources and in various forms, and preprocessing of the data to be ingestible by chemistry models can be quite challenging. We developed the FUME processor to use a database layer that internally transforms all input data into a rigid structure, facilitating further processing to allow for emission processing from the continental to the street scale.