gadopt 2026.4.0

A computational platform for inverse geodynamics

G-ADOPT

This repository contains material and examples relating to the G-ADOPT Platform, a computational platform for inverse geodynamics, being developed and maintained by researchers from the Research School of Earth Sciences at the Australian National University. It builds on a recent surge in accessible observational datasets and advances in inversion methods using sophisticated adjoint techniques that provide a mechanism for fusing these observations with dynamics, physics and chemistry.

G-ADOPT is supported and funded by the Australian Research Data Commons (ARDC), with additional partner contributions from AuScope, the NCI and Geosciences Australia.

Installation

G-ADOPT is available on PyPI as gadopt, and requires a working Firedrake installation. To bring in the optional nonlinear optimisation dependencies, install the gadopt[optimisation] variant. See the G-ADOPT website for more detailed installation instructions, including directions for getting started with the demo notebooks.

Citing

If you use this software in your work, please cite the software using the following metadata and the two articles below:

APA references

Gibson, A., Davies, R., Kramer, S., Ghelichkhan, S., Turner, R., Duvernay, T., & Scott, W. (2024). G-ADOPT (Version v2.3.0) [Computer software]. https://doi.org/10.5281/zenodo.5644391

Davies, D. R., Kramer, S. C., Ghelichkhan, S., & Gibson, A. (2022). Towards automatic finite-element methods for geodynamics via Firedrake. Geoscientific Model Development, 15(13), 5127–5166. doi:10.5194/gmd-15-5127-2022

Ghelichkhan, S., Gibson, A., Davies, D. R., Kramer, S. C., & Ham, D. A. (2024). Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time. Geoscientific Model Development, 17(13), 5057-5086.

Bibtex references

@software{Gibson_G-ADOPT_2024,
author = {Gibson, Angus and Davies, Rhodri and Kramer, Stephan and Ghelichkhan, Sia and Turner, Ruby and Duvernay, Thomas and Scott, Will},
doi = {10.5281/zenodo.5644391},
month = jun,
title = {{G-ADOPT}},
url = {https://github.com/g-adopt/g-adopt},
version = {v2.3.0},
year = {2024}
}

@Article{Davies_Towards_2022,
AUTHOR = {Davies, D. R. and Kramer, S. C. and Ghelichkhan, S. and Gibson, A.},
TITLE = {Towards automatic finite-element methods for geodynamics via Firedrake},
JOURNAL = {Geoscientific Model Development},
VOLUME = {15},
YEAR = {2022},
NUMBER = {13},
PAGES = {5127--5166},
URL = {https://gmd.copernicus.org/articles/15/5127/2022/},
DOI = {10.5194/gmd-15-5127-2022}
}

@Article{Ghelichkhan_Automatic_2024,
AUTHOR = {Ghelichkhan, S. and Gibson, A. and Davies, D. R. and Kramer, S. C. and Ham, D. A.},
TITLE = {Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time},
JOURNAL = {Geoscientific Model Development},
VOLUME = {17},
YEAR = {2024},
NUMBER = {13},
PAGES = {5057--5086},
URL = {https://gmd.copernicus.org/articles/17/5057/2024/},
DOI = {10.5194/gmd-17-5057-2024}
}

Please also cite Firedrake using the instructions here.