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

Data sets

Data produced and used in the publication "Modelling chemical advection during magma ascent" by Dominguez et al., 2024 Hugo Dominguez https://doi.org/10.5281/zenodo.13306073

Model code and software

neoscalc/ChemicalAdvectionPorosityWave.jl: ChemicalAdvectionPorosityWave.jl 1.0.0 (v1.0.0) Hugo Dominguez https://doi.org/10.5281/zenodo.8411354

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.