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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

Language License PyPI Version Documentation Status zenodo

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 gravity-toolkit tools

Resources

Dependencies

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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