Skip to main content

Tide Model Driver to read OTIS, GOT and FES formatted tidal solutions and make tidal predictions

Project description

Language License PyPI Version Anaconda-Server Documentation Status codecov Binder Pangeo zenodo

Python-based tidal prediction software that reads OTIS, GOT and FES formatted tidal solutions for calculating ocean and load tides

Pole tide prediction software for calculating radial pole tide displacements

Dependencies

References

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

L. Padman, M. R. Siegfried, H. A. Fricker, “Ocean Tide Influences on the Antarctic and Greenland Ice Sheets”, Reviews of Geophysics, 56, 142-184, (2018). doi:10.1002/2016RG000546

Download

The program homepage is:
A zip archive of the latest version is available directly at:

Software

Matlab Tide Model Driver from Earth & Space Research is available at:
Fortran OSU Tidal Prediction Software OTPS is available at:
Incorporated into the NASA Cryosphere Altimetry Processing Toolkit at:

Disclaimer

This package includes software developed at NASA Goddard Space Flight Center (GSFC) and the University of Washington Applied Physics Laboratory (UW-APL). It is not sponsored or maintained by the Universities Space Research Association (USRA), AVISO or NASA. The software is provided here for your convenience but with no guarantees whatsoever. It should not be used for coastal navigation or any application that may risk life or property.

Credits

This project contains work and contributions from the scientific community. The Tidal Model Driver (TMD) Matlab Toolbox was developed by Laurie Padman, Lana Erofeeva and Susan Howard. The OSU Tidal Inversion Software (OTIS) and OSU Tidal Prediction Software (OTPS) were developed by Lana Erofeeva and Gary Egbert (copyright OSU, licensed for non-commercial use). The NASA Goddard Space Flight Center (GSFC) PREdict Tidal Heights (PERTH3) software was developed by Richard Ray and Remko Scharroo.

License

The content of this project is licensed under the Creative Commons Attribution 4.0 Attribution license and the source code is licensed under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyTMD-1.0.7.tar.gz (7.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyTMD-1.0.7-py3-none-any.whl (7.5 MB view details)

Uploaded Python 3

File details

Details for the file pyTMD-1.0.7.tar.gz.

File metadata

  • Download URL: pyTMD-1.0.7.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pyTMD-1.0.7.tar.gz
Algorithm Hash digest
SHA256 94a64e428f50243dad30e2491401c7555ecd5b3e5c5509e7646b4c411c5771df
MD5 cdc6dbe0c51312712a6811055f71daaf
BLAKE2b-256 70999cc32ad206e7124154911e128eae65b2fa014a48e0029894fb9a9c93258d

See more details on using hashes here.

File details

Details for the file pyTMD-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: pyTMD-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pyTMD-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 4b0dfca409b82adb8b522981f8e983a31d200242d02c9c95acb06ca67bc3e5bf
MD5 f849b8b80d88958bb84fbc28a529d11f
BLAKE2b-256 6351803bac291c811b8c2f9f9a9e085c9f796bcd24fea9dacb98a4a14fc8e307

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page