Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 16
Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6105-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6105-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 16
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

Viewed

Total article views: 938 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
704 172 62 938 43 47
  • HTML: 704
  • PDF: 172
  • XML: 62
  • Total: 938
  • BibTeX: 43
  • EndNote: 47
Views and downloads (calculated since 24 Oct 2023)
Cumulative views and downloads (calculated since 24 Oct 2023)

Viewed (geographical distribution)

Total article views: 938 (including HTML, PDF, and XML) Thereof 931 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Nov 2024
Download
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.
Read more