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

transform optimizers measurements standardization interpreter composibility report animal control simulations

Last synced: about 22 hours ago
JSON representation

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 (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-12-16T23:26:16.000Z (9 days ago)
• Last Synced: 2025-12-18T06:10:09.661Z (8 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: 150 MB
• Stars: 84
• Watchers: 4
• Forks: 11
• Open Issues: 12
• Releases: 51
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Citation: CITATION.cff

README.md

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}
}

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

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: 10
• Create event: 85
• Release event: 21
• Issues event: 78
• Watch event: 53
• Delete event: 53
• Member event: 4
• Issue comment event: 135
• Push event: 683
• Pull request review comment event: 2
• Pull request review event: 10
• Pull request event: 133
• Gollum event: 41

Last Year

• Create event: 70
• Release event: 14
• Issues event: 58
• Watch event: 37
• Delete event: 50
• Member event: 2
• Issue comment event: 120
• Push event: 481
• Pull request review comment event: 2
• Pull request review event: 10
• Pull request event: 117
• Fork event: 8

Committers metadata

Last synced: 3 days ago

Committer domains:

• ga.gov.au: 2
• research.gla.ac.uk: 1
• meteo.be: 1

Issue and Pull Request metadata

Last synced: 9 days ago

Package metadata

• Total packages: 2
• Total downloads:
  • pypi: 3,273 last-month
• Total dependent packages: 0 (may contain duplicates)
• Total dependent repositories: 0 (may contain duplicates)
• Total versions: 149
• Total maintainers: 1

Score: 14.44987541862697