Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-545-2024
https://doi.org/10.5194/gmd-17-545-2024
Model evaluation paper
 | 
24 Jan 2024
Model evaluation paper |  | 24 Jan 2024

On the formation of biogenic secondary organic aerosol in chemical transport models: an evaluation of the WRF-CHIMERE (v2020r2) model with a focus over the Finnish boreal forest

Giancarlo Ciarelli, Sara Tahvonen, Arineh Cholakian, Manuel Bettineschi, Bruno Vitali, Tuukka Petäjä, and Federico Bianchi

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2023-64', Juan Antonio Añel, 19 Jun 2023
    • AC1: 'Reply on CEC1', Giancarlo Ciarelli, 19 Jun 2023
  • RC1: 'Comment on gmd-2023-64', Anonymous Referee #1, 27 Jul 2023
  • RC2: 'Comment on gmd-2023-64', Anonymous Referee #2, 28 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Giancarlo Ciarelli on behalf of the Authors (12 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 Sep 2023) by Samuel Remy
RR by Anonymous Referee #1 (10 Oct 2023)
ED: Publish subject to minor revisions (review by editor) (20 Oct 2023) by Samuel Remy
AR by Giancarlo Ciarelli on behalf of the Authors (06 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Nov 2023) by Samuel Remy
AR by Giancarlo Ciarelli on behalf of the Authors (28 Nov 2023)
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Short summary
The terrestrial ecosystem releases large quantities of biogenic gases in the Earth's Atmosphere. These gases can effectively be converted into so-called biogenic aerosol particles and, eventually, affect the Earth's climate. Climate prediction varies greatly depending on how these processes are represented in model simulations. In this study, we present a detailed model evaluation analysis aimed at understanding the main source of uncertainty in predicting the formation of biogenic aerosols.