tsutterley / pyTMD

Python-based tidal prediction software
https://pytmd.readthedocs.io
MIT License
117 stars 39 forks source link
geodesy geophysics oceanography tides

===== pyTMD

|Language| |License| |PyPI Version| |Anaconda-Server| |Documentation Status| |codecov| |zenodo|

.. |Language| image:: https://img.shields.io/pypi/pyversions/pyTMD?color=green :target: https://www.python.org/

.. |License| image:: https://img.shields.io/github/license/tsutterley/pyTMD :target: https://github.com/tsutterley/pyTMD/blob/main/LICENSE

.. |PyPI Version| image:: https://img.shields.io/pypi/v/pyTMD.svg :target: https://pypi.python.org/pypi/pyTMD/

.. |Anaconda-Server| image:: https://img.shields.io/conda/vn/conda-forge/pytmd :target: https://anaconda.org/conda-forge/pytmd

.. |Documentation Status| image:: https://readthedocs.org/projects/pytmd/badge/?version=latest :target: https://pytmd.readthedocs.io/en/latest/?badge=latest

.. |codecov| image:: https://codecov.io/gh/tsutterley/pyTMD/branch/main/graph/badge.svg :target: https://codecov.io/gh/tsutterley/pyTMD

.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5555395.svg :target: https://doi.org/10.5281/zenodo.5555395

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 <https://doi.org/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 <https://doi.org/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/main.zip

Alternative Software ####################

| perth5 from NASA Goddard Space Flight Center is available at: | https://codeberg.org/rray/perth5 | 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

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 <./CONTRIBUTORS.rst>_. The Tidal Model Driver (TMD <https://github.com/EarthAndSpaceResearch/TMD_Matlab_Toolbox_v2.5>) Matlab Toolbox was developed by Laurie Padman, Lana Erofeeva and Susan Howard. An updated version of the TMD Matlab Toolbox (TMD3 <https://github.com/chadagreene/Tide-Model-Driver>) was developed by Chad Greene. The OSU Tidal Inversion Software (OTIS) and OSU Tidal Prediction Software (OTPS <https://www.tpxo.net/otps>) were developed by Lana Erofeeva and Gary Egbert (copyright OSU <https://www.tpxo.net/tpxo-products-and-registration>, 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. An updated and more versatile version of the NASA GSFC tidal prediction software (PERTH5 <https://codeberg.org/rray/perth5>_) was developed by Richard Ray.

License #######

The content of this project is licensed under the Creative Commons Attribution 4.0 Attribution license <https://creativecommons.org/licenses/by/4.0/> and the source code is licensed under the MIT license <LICENSE>.