Automated Dynamic Mascon Generation for GRACE and GRACE-FO Harmonic Processing

Automated Dynamic Mascon Generation for GRACE and GRACE-FO Harmonic Processing. Mohajerani, Y., Shean, D., Arendt, A., & Sutterley, T. C. Remote Sensing, 13(16):3134, August, 2021.

Paper doi abstract bibtex

Commonly used mass-concentration (mascon) solutions estimated from Level-1B Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On data, provided by processing centers such as the Jet Propulsion Laboratory (JPL) or the Goddard Space Flight Center (GSFC), do not give users control over the placement of mascons or inversion assumptions, such as regularization. While a few studies have focused on regional or global mascon optimization from spherical harmonics data, a global optimization based on the geometry of geophysical signal as a standardized product with user-deﬁned points has not been addressed. Finding the optimal conﬁguration with enough coverage to account for far-ﬁeld leakage is not a trivial task and is often approached in an ad-hoc manner, if at all. Here, we present an automated approach to deﬁning non-uniform, global mascon solutions that focus on a region of interest speciﬁed by the user, while maintaining few global degrees of freedom to minimize noise and leakage. We showcase our approach in High Mountain Asia (HMA) and Alaska, and compare the results with global uniform mascon solutions from range-rate data. We show that the custom mascon solutions can lead to improved regional trends due to a more careful sampling of geophysically distinct regions. In addition, the custom mascon solutions exhibit different seasonal variation compared to the regularized solutions. Our open-source pipeline will allow the community to quickly and efﬁciently develop optimized global mascon solutions for an arbitrary point or polygon anywhere on the surface of the Earth.

@article{mohajerani_automated_2021,
	title = {Automated {Dynamic} {Mascon} {Generation} for {GRACE} and {GRACE}-{FO} {Harmonic} {Processing}},
	volume = {13},
	issn = {2072-4292},
	url = {https://www.mdpi.com/2072-4292/13/16/3134},
	doi = {10.3390/rs13163134},
	abstract = {Commonly used mass-concentration (mascon) solutions estimated from Level-1B Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On data, provided by processing centers such as the Jet Propulsion Laboratory (JPL) or the Goddard Space Flight Center (GSFC), do not give users control over the placement of mascons or inversion assumptions, such as regularization. While a few studies have focused on regional or global mascon optimization from spherical harmonics data, a global optimization based on the geometry of geophysical signal as a standardized product with user-deﬁned points has not been addressed. Finding the optimal conﬁguration with enough coverage to account for far-ﬁeld leakage is not a trivial task and is often approached in an ad-hoc manner, if at all. Here, we present an automated approach to deﬁning non-uniform, global mascon solutions that focus on a region of interest speciﬁed by the user, while maintaining few global degrees of freedom to minimize noise and leakage. We showcase our approach in High Mountain Asia (HMA) and Alaska, and compare the results with global uniform mascon solutions from range-rate data. We show that the custom mascon solutions can lead to improved regional trends due to a more careful sampling of geophysically distinct regions. In addition, the custom mascon solutions exhibit different seasonal variation compared to the regularized solutions. Our open-source pipeline will allow the community to quickly and efﬁciently develop optimized global mascon solutions for an arbitrary point or polygon anywhere on the surface of the Earth.},
	language = {en},
	number = {16},
	urldate = {2021-08-09},
	journal = {Remote Sensing},
	author = {Mohajerani, Yara and Shean, David and Arendt, Anthony and Sutterley, Tyler C.},
	month = aug,
	year = {2021},
	pages = {3134},
}

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