Citations and credits

Citing eo-tides

To cite eo-tides in your work, please use the following software citation:

Bishop-Taylor, R., Sagar, S., Phillips, C., & Newey, V. (2024). eo-tides: Tide modelling tools for large-scale satellite earth observation analysis. https://github.com/GeoscienceAustralia/eo-tides

In addition, please consider also citing the underlying pyTMD Python package which powers the tide modelling functionality behind eo-tides:

Sutterley, T. C., Alley, K., Brunt, K., Howard, S., Padman, L., Siegfried, M. (2017) pyTMD: Python-based tidal prediction software. 10.5281/zenodo.5555395

Credits

eo-tides builds on (and wouldn't be possible without!) fundamental tide modelling tools provided by pyTMD. The authors wish to thank Dr. Tyler Sutterley for his ongoing development and support of this incredible modelling tool.

Functions from eo-tides were originally developed in the Digital Earth Australia Notebooks and Tools repository. The authors would like to thank all DEA Notebooks contributers and maintainers for their invaluable assistance with code review, feature suggestions and code edits.

FES Finite Element Solution tide models were developed, validated by the CTOH/LEGOS, France and distributed by Aviso+: https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/regional/x-track-sla/x-track-l2p-sla-version-2022.html

This repository was initialised using the cookiecutter-uv package.

References

Carrere et al., OSTST 2022: A new barotropic tide model for global ocean: FES2022, https://doi.org/10.24400/527896/a03-2022.3287

Egbert, Gary D., and Svetlana Y. Erofeeva. "Efficient inverse modeling of barotropic ocean tides." Journal of Atmospheric and Oceanic Technology 19.2 (2002): 183-204.

Florent H. Lyard, Loren Carrere, Ergane Fouchet, Mathilde Cancet, David Greenberg, Gérald Dibarboure and Nicolas Picot: “FES2022 a step towards a SWOT-compliant tidal correction”, to be submitted to Ocean Sciences.

Hart-Davis Michael, Piccioni Gaia, Dettmering Denise, Schwatke Christian, Passaro Marcello, Seitz Florian (2021). EOT20 - A global Empirical Ocean Tide model from multi-mission satellite altimetry. SEANOE. https://doi.org/10.17882/79489

Hart-Davis Michael G., Piccioni Gaia, Dettmering Denise, Schwatke Christian, Passaro Marcello, Seitz Florian (2021). EOT20: a global ocean tide model from multi-mission satellite altimetry. Earth System Science Data, 13 (8), 3869-3884. https://doi.org/10.5194/essd-13-3869-2021

Sutterley, T. C., Markus, T., Neumann, T. A., van den Broeke, M., van Wessem, J. M., and Ligtenberg, S. R. M.: Antarctic ice shelf thickness change from multimission lidar mapping, The Cryosphere, 13, 1801–1817, https://doi.org/10.5194/tc-13-1801-2019, 2019.