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 zenodo

Python-based tidal prediction software for estimating ocean, load, solid Earth and pole tides

Ocean and load tidal predictions using OTIS, GOT and FES formatted tidal solutions

Radial solid Earth and pole tide displacements following IERS conventions

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: 10.5194/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-2.0.5.tar.gz (7.4 MB view details)

Uploaded Source

Built Distribution

pyTMD-2.0.5-py3-none-any.whl (7.5 MB view details)

Uploaded Python 3

File details

Details for the file pyTMD-2.0.5.tar.gz.

File metadata

  • Download URL: pyTMD-2.0.5.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for pyTMD-2.0.5.tar.gz
Algorithm Hash digest
SHA256 685db1890d8542d98a9448a97cb0e4fee422f365731c3b4555dda169d66b2918
MD5 b07630053a861c6714d06b484ddf89ac
BLAKE2b-256 21d0d59ec652a6eca18c31a4f77d764dd22a906b722cac0958d6fc919c4d6ee5

See more details on using hashes here.

File details

Details for the file pyTMD-2.0.5-py3-none-any.whl.

File metadata

  • Download URL: pyTMD-2.0.5-py3-none-any.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for pyTMD-2.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 5141917ef2300f2e9c1fb0b53933922e675e060566a3820a99fc3d325f5757cd
MD5 dc4437b223bc475c806ba5ae65a0a542
BLAKE2b-256 972ae0e32bf1a24a47ded1ba0ae2d3f3a0de77fbcd8c424b63aa10566b07b1a6

See more details on using hashes here.

Supported by

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