Skip to main content

Reads gravity model coefficients and calculates geoid heights

Project description

Language License PyPI Version Documentation Status Binder Pangeo zenodo

Python tools for obtaining and working with static gravity field coefficients and calculating geoid heights

Dependencies

References

Drewes, Kuglitsch, Adám and Rózsa “The Geodesist’s Handbook 2016”, Journal of Geodesy, 90, 907-1205 (2016). doi:10.1007/s00190-016-0948-z

Hofmann-Wellenhof and Moritz, “Physical Geodesy” (2005). doi:10.1007/978-3-211-33545-1

Holmes and Featherstone, “A Unified Approach to the Clenshaw Summation and the Recursive Computation of Very High Degree and Order Normalised Associated Legendre Functions”, Journal of Geodesy (2002). doi:10.1007/s00190-002-0216-2

Ince, Barthelmes, Reißland, Elger, Förste, Flechtner, and Schuh, “ICGEM – 15 years of successful collection and distribution of global gravitational models, associated services, and future plans” Earth System Science Data, 11, 647–674 (2019). doi:10.5194/essd-11-647-2019

Jekeli, “Alternative Methods to Smooth the Earth’s Gravity Field”, (1981).

Moazezi and Zomorrodian, “GGMCalc a software for calculation of the geoid undulation and the height anomaly using the iteration method, and classical gravity anomaly”, Earth Science Informatics (2012). doi:10.1007/s12145-012-0102-2

Tscherning and Poder, “Some Geodetic Applications of Clenshaw Summation”, Bollettino di Geodesia e Scienze, (1982)

Wahr, Molenaar and Frank, “Time variability of the Earth’s gravity field: Hydrological and oceanic effects and their possible detection using GRACE”, Journal of Geophysical Research: Solid Earth, 103(B12), 30205-30229, doi:10.1029/98JB02844

Download

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

Disclaimer

This project contains work and contributions from the scientific community. This program is not sponsored or maintained by the Universities Space Research Association (USRA), the Center for Space Research at the University of Texas (UTCSR), the Jet Propulsion Laboratory (JPL), the German Research Centre for Geosciences (GeoForschungsZentrum, GFZ) or NASA. It is provided here for your convenience but with no guarantees whatsoever.

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

geoid-toolkit-1.1.1.tar.gz (50.4 kB view details)

Uploaded Source

Built Distribution

geoid_toolkit-1.1.1-py3-none-any.whl (75.6 kB view details)

Uploaded Python 3

File details

Details for the file geoid-toolkit-1.1.1.tar.gz.

File metadata

  • Download URL: geoid-toolkit-1.1.1.tar.gz
  • Upload date:
  • Size: 50.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for geoid-toolkit-1.1.1.tar.gz
Algorithm Hash digest
SHA256 8792429f980ef9d917082b03685518953b70bd67aae796e11520d3de432f1bed
MD5 8c881512c3a333ab3b35d3e11888e24c
BLAKE2b-256 afead3b564b81a48549f79d4301e0dcefc82a1e09269b28c5cdf0ef4da35fd1e

See more details on using hashes here.

File details

Details for the file geoid_toolkit-1.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for geoid_toolkit-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f1bf7ef5f22ac5e5bdc241e56da3500ad7d8fdd3069bf8c4fa08cd4a3c6e5b7b
MD5 b35753eb74102c86b2ebcb306da4f1f5
BLAKE2b-256 b2c06616284c6a39ba0470af3ebe2c1c1a4baf580dc655ac4e635df1e67e419e

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