Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6105-2024
https://doi.org/10.5194/gmd-17-6105-2024
Development and technical paper
 | 
16 Aug 2024
Development and technical paper |  | 16 Aug 2024

Modelling chemical advection during magma ascent

Hugo Dominguez, Nicolas Riel, and Pierre Lanari

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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 gmd-2023-189', Marcin Dabrowski, 02 Apr 2024
    • AC1: 'Reply on RC1', Hugo Dominguez, 03 May 2024
  • RC2: 'Comment on gmd-2023-189', Albert de Montserrat Navarro, 05 Apr 2024
    • AC2: 'Reply on RC2', Hugo Dominguez, 03 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hugo Dominguez on behalf of the Authors (08 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 May 2024) by Mauro Cacace
RR by Marcin Dabrowski (17 Jun 2024)
RR by Albert de Montserrat Navarro (17 Jun 2024)
ED: Publish subject to minor revisions (review by editor) (18 Jun 2024) by Mauro Cacace
AR by Hugo Dominguez on behalf of the Authors (20 Jun 2024)  Author's response   Manuscript 
EF by Sarah Buchmann (24 Jun 2024)  Author's tracked changes 
ED: Publish as is (02 Jul 2024) by Mauro Cacace
AR by Hugo Dominguez on behalf of the Authors (03 Jul 2024)  Manuscript 
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Short summary
Predicting the behaviour of magmatic systems is important for understanding Earth's matter and heat transport. Numerical modelling is a technique that can predict complex systems at different scales of space and time by solving equations using various techniques. This study tests four algorithms to find the best way to transport the melt composition. The "weighted essentially non-oscillatory" algorithm emerges as the best choice, minimising errors and preserving system mass well.