Python tools for obtaining and working with spherical harmoniccoefficients from the NASA/DLR GRACE and NASA/GFZ GRACE Follow-on missions
Project description
Python tools for obtaining and working with Level-2 spherical harmonic coefficients from the NASA/DLR Gravity Recovery and Climate Experiment (GRACE) and the NASA/GFZ Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) missions
Resources
Dependencies
References
T. C. Sutterley, I. Velicogna, and C.-W. Hsu, “Self-Consistent Ice Mass Balance and Regional Sea Level From Time-Variable Gravity”, Earth and Space Science, 7, (2020). doi: 10.1029/2019EA000860
T. C. Sutterley and I. Velicogna, “Improved estimates of geocenter variability from time-variable gravity and ocean model outputs”, Remote Sensing, 11(18), 2108, (2019). doi: 10.3390/rs11182108
J. Wahr, S. C. Swenson, and I. Velicogna, “Accuracy of GRACE mass estimates”, Geophysical Research Letters, 33(6), L06401, (2006). doi: 10.1029/2005GL025305
J. Wahr, M. Molenaar, and F. Bryan, “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), (1998). doi: 10.1029/98JB02844
D. Han and J. Wahr, “The viscoelastic relaxation of a realistically stratified earth, and a further analysis of postglacial rebound”, Geophysical Journal International, 120(2), (1995). doi: 10.1111/j.1365-246X.1995.tb01819.x
Data Repositories
T. C. Sutterley, I. Velicogna, and C.-W. Hsu, “Ice Mass and Regional Sea Level Estimates from Time-Variable Gravity”, (2020). doi: 10.6084/m9.figshare.9702338
T. C. Sutterley and I. Velicogna, “Geocenter Estimates from Time-Variable Gravity and Ocean Model Outputs”, (2019). doi: 10.6084/m9.figshare.7388540
Download
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
Built Distribution
File details
Details for the file gravity-toolkit-1.2.1.tar.gz
.
File metadata
- Download URL: gravity-toolkit-1.2.1.tar.gz
- Upload date:
- Size: 864.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee198aab51b4e07d83ad25173df2d15c8a5211a957c9f075ffc908aea4ab0253 |
|
MD5 | 333163de44d855b5e584b418d0702270 |
|
BLAKE2b-256 | 74fa2d5b6efa875baca005bbbc93c1016867ba8307ba2b67b58085f8c3ff00db |
Provenance
File details
Details for the file gravity_toolkit-1.2.1-py3-none-any.whl
.
File metadata
- Download URL: gravity_toolkit-1.2.1-py3-none-any.whl
- Upload date:
- Size: 1.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30d73e064cdbe6a1499711aa60956d6f4ef4fd7cd1e7dcf565518104b6e855ec |
|
MD5 | c062c921e60a05c7e29566f31f322abc |
|
BLAKE2b-256 | 96ec0bb5d52616aaf728ac8cf61e6f6c0855650569fea964a749cd843ab5bbdd |