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ECS approach to model GRACE gravity data

Authors

Maiolino,  Marco
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Fedi,  Maurizio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Florio,  Giovanni
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Maiolino, M., Fedi, M., Florio, G. (2023): ECS approach to model GRACE gravity data, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2740


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019137
Abstract
Started in 2002, the GRACE “Gravity Recovery and Climate Experiment” gravity mission has allowed mapping the changes in the Earth’s gravitational field over about 15 years (2002-2017). We introduce a method to compute the ice mass-balance from GRACE gravity variations, which is particularly suited to suppress the leakage contribution to the field. The method, called ECS (Extremely Compact Source) yields an ECS model, where the sources are very efficiently separated. It thus allows the user to compute the associated mass and gravity field of each source and to remove unwanted effects, such as those related to the leakage. We apply the method to estimate the mass changes of the main Icelandic glaciers, in the period 2002-2017. The leakage effect is particularly evident in the Vatnajökull ice cap area, due to its proximity to the strong gravity field related to the Greenland ice sheet melting. We show that ECS eliminates the need for independent data sets (e.g., ICEsat or Envisat) and the use of a-priori information for proper separation of different contributions.