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-2.0.7.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-2.0.7-py3-none-any.whl (7.5 MB view details)

Uploaded Python 3

File details

Details for the file pyTMD-2.0.7.tar.gz.

File metadata

  • Download URL: pyTMD-2.0.7.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pyTMD-2.0.7.tar.gz
Algorithm Hash digest
SHA256 c99efb5071e196c2b4d3b93ff0e0366e2a8c088725ba2972f741568cec2e0610
MD5 e00115611accfbd0f88355c986d43bf8
BLAKE2b-256 22b8eb507bae6b01cee3ddf3b6f4cf3d77adab7771bb802a0bc4cf7c18763d14

See more details on using hashes here.

File details

Details for the file pyTMD-2.0.7-py3-none-any.whl.

File metadata

  • Download URL: pyTMD-2.0.7-py3-none-any.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pyTMD-2.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a6713dcf84e260198f8f61610d667100596a0994d15be0ce2604baf154561406
MD5 effae4a30000b2a46224aef61fb823e7
BLAKE2b-256 c513ff1a415b93e4541e8c79d1f8d69ea0bc63f6d62082fbd05da854dd2abaee

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