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

Project description

pyTMD

Language License PyPI Version Documentation Status codecov Binder Binder

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

Reference

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:
https://github.com/tsutterley/pyTMD
A zip archive of the latest version is available directly at:
https://github.com/tsutterley/pyTMD/archive/master.zip

Software

Matlab Tide Model Driver from Earth & Space Research is available at:
https://github.com/EarthAndSpaceResearch/TMD_Matlab_Toolbox_v2.5
Fortran OSU Tidal Prediction Software OTPS is available at:
https://www.tpxo.net/otps
pyTMD was incorporated into the NASA Cryosphere Altimetry Processing Toolkit at:
https://github.com/fspaolo/captoolkit

Disclaimer

This program is not sponsored or maintained by the Universities Space Research Association (USRA) or NASA. It is provided here for your convenience but with no guarantees whatsoever.

Credits

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.

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