eo-tides
Provides powerful parallelized tools for integrating satellite Earth observation data with tide modelling.
https://github.com/geoscienceaustralia/eo-tides
Category: Hydrosphere
Sub Category: Waves and Currents
Keywords
coastal coastal-modelling earth-observation ocean-modelling oceanography remote-sensing satellite-data tide-modelling tides tidesandcurrents
Keywords from Contributors
transforms measur reporting compose optimize products animals simulator generic archiving
Last synced: about 24 hours ago
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Repository metadata
Tide modelling tools for large-scale satellite earth observation analysis
- Host: GitHub
- URL: https://github.com/geoscienceaustralia/eo-tides
- Owner: GeoscienceAustralia
- License: apache-2.0
- Created: 2024-09-16T06:10:09.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-06-09T05:01:06.000Z (7 days ago)
- Last Synced: 2025-06-12T00:16:52.082Z (4 days ago)
- Topics: coastal, coastal-modelling, earth-observation, ocean-modelling, oceanography, remote-sensing, satellite-data, tide-modelling, tides, tidesandcurrents
- Language: Python
- Homepage: https://GeoscienceAustralia.github.io/eo-tides/
- Size: 132 MB
- Stars: 68
- Watchers: 3
- Forks: 9
- Open Issues: 9
- Releases: 41
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.cff
README.md
eo-tides
: Tide modelling tools for large-scale satellite earth observation analysis
- âī¸ Github repository: https://github.com/GeoscienceAustralia/eo-tides/
- đ PyPI: https://pypi.org/project/eo-tides/
- âšī¸ Documentation: https://GeoscienceAustralia.github.io/eo-tides/
- đ° Paper: https://doi.org/10.21105/joss.07786
eo-tides
provides powerful parallelized tools for integrating satellite Earth observation data with tide modelling. đ ī¸đđ°ī¸
eo-tides
combines advanced tide modelling functionality from the pyTMD
package with pandas
, xarray
and odc-geo
, providing a suite of flexible tools for efficient analysis of coastal and ocean Earth observation data â from regional, continental, to global scale.
These tools can be applied to petabytes of freely available satellite data (e.g. from Digital Earth Australia or Microsoft Planetary Computer) loaded via Open Data Cube's odc-stac
or datacube
packages, supporting coastal and ocean earth observation analysis for any time period or location globally.
Highlights
- đ Model tide heights and phases (e.g. high, low, ebb, flow) from multiple global ocean tide models in parallel, and return a
pandas.DataFrame
for further analysis - đ°ī¸ "Tag" satellite data with tide heights based on the exact moment of image acquisition
- đ Model tides for every individual satellite pixel through time, producing three-dimensional "tide height"
xarray
-format datacubes that can be integrated with satellite data - đ Calculate statistics describing local tide dynamics, as well as biases caused by interactions between tidal processes and satellite orbits
- đ ī¸ Validate modelled tides using measured sea levels from coastal tide gauges (e.g. GESLA Global Extreme Sea Level Analysis)
Supported tide models
eo-tides
supports all ocean tide models supported by pyTMD
. These include:
- Empirical Ocean Tide model (EOT20)
- Finite Element Solution tide models (FES2022, FES2014, FES2012)
- TOPEX/POSEIDON global tide models (TPXO10, TPXO9, TPXO8)
- Global Ocean Tide models (GOT5.6, GOT5.5, GOT4.10, GOT4.8, GOT4.7)
- Hamburg direct data Assimilation Methods for Tides models (HAMTIDE11)
- Technical University of Denmark tide models (DTU23)
For instructions on how to set up these models for use in eo-tides
, refer to Setting up tide models.
eo-tides
Installing and setting up To get started with eo-tides
, follow the Installation and Setting up tide models guides.
Jupyter Notebooks code examples
Interactive Jupyter Notebook usage examples and more complex coastal EO case studies can be found in the docs/notebooks/
directory, or rendered in the documentation here.
eo-tides
Citing To cite eo-tides
in your work, please use the following Journal of Open Source Software citation:
Bishop-Taylor, R., Phillips, C., Sagar, S., Newey, V., & Sutterley, T., (2025). eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis. Journal of Open Source Software, 10(109), 7786, https://doi.org/10.21105/joss.07786
@article{Bishop-Taylor2025,
doi = {10.21105/joss.07786},
url = {https://doi.org/10.21105/joss.07786},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {109},
pages = {7786},
author = {Robbi Bishop-Taylor and Claire Phillips and Stephen Sagar and Vanessa Newey and Tyler Sutterley},
title = {eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis},
journal = {Journal of Open Source Software}
}
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
Contributing
We welcome contributions to eo-tides
, both through posting issues (e.g. bug reports or feature suggestions), or directly via pull requests (e.g. bug fixes and new features).
Read the Contributing guide for details about how you can get involved.
Acknowledgements
For a full list of acknowledgements, refer to Citations and Credits.
This repository was initialised using the cookiecutter-uv
package.
Citation (CITATION.cff)
cff-version: "1.2.0" authors: - family-names: Bishop-Taylor given-names: Robbi orcid: "https://orcid.org/0000-0002-1533-2599" - family-names: Phillips given-names: Claire orcid: "https://orcid.org/0009-0003-9882-9131" - family-names: Sagar given-names: Stephen orcid: "https://orcid.org/0000-0001-9568-9661" - family-names: Newey given-names: Vanessa orcid: "https://orcid.org/0000-0003-3705-5665" - family-names: Sutterley given-names: Tyler orcid: "https://orcid.org/0000-0002-6964-1194" contact: - family-names: Bishop-Taylor given-names: Robbi orcid: "https://orcid.org/0000-0002-1533-2599" doi: 10.26186/150065 message: If you use this software, please cite our article in the Journal of Open Source Software. preferred-citation: authors: - family-names: Bishop-Taylor given-names: Robbi orcid: "https://orcid.org/0000-0002-1533-2599" - family-names: Phillips given-names: Claire orcid: "https://orcid.org/0009-0003-9882-9131" - family-names: Sagar given-names: Stephen orcid: "https://orcid.org/0000-0001-9568-9661" - family-names: Newey given-names: Vanessa orcid: "https://orcid.org/0000-0003-3705-5665" - family-names: Sutterley given-names: Tyler orcid: "https://orcid.org/0000-0002-6964-1194" date-published: 2025-05-29 doi: 10.21105/joss.07786 issn: 2475-9066 issue: 109 journal: Journal of Open Source Software publisher: name: Open Journals start: 7786 title: "eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis" type: article url: "https://joss.theoj.org/papers/10.21105/joss.07786" volume: 10 title: "eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis"
Owner metadata
- Name: Geoscience Australia
- Login: GeoscienceAustralia
- Email:
- Kind: organization
- Description:
- Website: http://www.ga.gov.au/
- Location: Canberra, Australia
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/4704285?v=4
- Repositories: 333
- Last ynced at: 2024-04-14T15:25:37.066Z
- Profile URL: https://github.com/GeoscienceAustralia
GitHub Events
Total
- Fork event: 8
- Create event: 66
- Release event: 17
- Issues event: 66
- Watch event: 50
- Delete event: 42
- Member event: 4
- Issue comment event: 112
- Push event: 602
- Pull request review comment event: 2
- Pull request review event: 10
- Pull request event: 102
- Gollum event: 41
Last Year
- Fork event: 8
- Create event: 66
- Release event: 17
- Issues event: 66
- Watch event: 50
- Delete event: 42
- Member event: 4
- Issue comment event: 112
- Push event: 602
- Pull request review comment event: 2
- Pull request review event: 10
- Pull request event: 102
- Gollum event: 41
Committers metadata
Last synced: 4 days ago
Total Commits: 342
Total Committers: 6
Avg Commits per committer: 57.0
Development Distribution Score (DDS): 0.026
Commits in past year: 342
Committers in past year: 6
Avg Commits per committer in past year: 57.0
Development Distribution Score (DDS) in past year: 0.026
Name | Commits | |
---|---|---|
Robbi Bishop-Taylor | R****r@g****u | 333 |
dependabot[bot] | 4****] | 4 |
github-actions[bot] | 4****] | 2 |
Pierre de Buyl | p****l@m****e | 1 |
Freya Muir | f****1@r****k | 1 |
ClaireP | c****s@g****u | 1 |
Committer domains:
- ga.gov.au: 2
- research.gla.ac.uk: 1
- meteo.be: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 49
Total pull requests: 59
Average time to close issues: 19 days
Average time to close pull requests: 2 days
Total issue authors: 7
Total pull request authors: 7
Average comments per issue: 1.29
Average comments per pull request: 1.0
Merged pull request: 56
Bot issues: 5
Bot pull requests: 7
Past year issues: 49
Past year pull requests: 59
Past year average time to close issues: 19 days
Past year average time to close pull requests: 2 days
Past year issue authors: 7
Past year pull request authors: 7
Past year average comments per issue: 1.29
Past year average comments per pull request: 1.0
Past year merged pull request: 56
Past year bot issues: 5
Past year bot pull requests: 7
Top Issue Authors
- robbibt (35)
- daniloceano (5)
- github-actions[bot] (5)
- lucas-langlois (1)
- Baizitang (1)
- pdebuyl (1)
- jamespatrikrichards (1)
Top Pull Request Authors
- robbibt (47)
- dependabot[bot] (5)
- github-actions[bot] (2)
- tsutterley (2)
- pdebuyl (1)
- erialC-P (1)
- fmemuir (1)
Top Issue Labels
- bug (15)
- enhancement (13)
- documentation (8)
- link-checker (5)
- question (4)
- testing (1)
Top Pull Request Labels
- enhancement (5)
- dependencies (5)
- python:uv (5)
- documentation (4)
- bug (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 3,263 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 95
- Total maintainers: 1
pypi.org: eo-tides
Tide modelling tools for large-scale satellite earth observation analysis
- Homepage: https://GeoscienceAustralia.github.io/eo-tides/
- Documentation: https://GeoscienceAustralia.github.io/eo-tides/
- Licenses: Apache Software License
- Latest release: 0.7.4 (published 17 days ago)
- Last Synced: 2025-06-14T01:02:05.057Z (2 days ago)
- Versions: 95
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 3,263 Last month
-
Rankings:
- Dependent packages count: 10.298%
- Average: 34.128%
- Dependent repos count: 57.959%
- Maintainers (1)
Score: 14.226273607165735