Python tools for obtaining and working with model synthetic spherical harmonic coefficients for comparing with data from the NASA/DLR GRACE and NASA/GFZ GRACE Follow-on missions
Project description
Python tools for obtaining and working with model synthetic spherical harmonic coefficients for comparing with data from the the NASA/DLR Gravity Recovery and Climate Experiment (GRACE) and the NASA/GFZ Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) missions
These are extension routines for the set of read-GRACE-harmonics tools
Resources
Dependencies
geoid-toolkit: Python utilities for calculating geoid heights from static gravity field coefficients
read-GRACE-harmonics: Python tools for working with GRACE/GRACE-FO data
fiona: Python wrapper for vector data access functions from the OGR library
shapely: PostGIS-ish operations outside a database context for Python
ecmwf-api-client: Python client libraries for the ECMWF Web API
References
I. Velicogna, Y. Mohajerani, G. A, F. Landerer, J. Mouginot, B. Noël, E. Rignot, T. C. Sutterley, M. van den Broeke, J. M. van Wessem, and D. Wiese, “Continuity of ice sheet mass loss in Greenland and Antarctica from the GRACE and GRACE Follow‐On missions”, Geophysical Research Letters, 47, (2020). doi:10.1029/2020GL087291
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
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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.
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