Publication Date:
2023-05-08
Description:
One of the great challenges that the IAG African Geoid Project faces is the significantly large gravity data gaps. Simple interpolation of the gravity data does not add new information at the large data gaps. Accordingly, the variable lateral crustal density model produced by the University of New Brunswick (Steng et al., 2019), available as a 30″×30″ grid, has been employed in the framework of the non-ambiguous window remove-restore technique (Abd-Elmotaal and Kühtreiber, 2003), aiming for better smoothed reduced anomalies to minimize the interpolation errors. The lateral crustal density model assigns the great lakes with density equal to 1.0 g/cm3, and the oceans with density equal to zero. This causes a misleading when computing the effect of topographic masses in the window remove-restore technique. Accordingly, a density model compatible with the computation of the effect of topographic masses within the window remove-restore technique has been developed. A set of Digital Density Models DDMs is needed for the computation of the effect of the topographic masses. This has been achieved by the block average operator technique. The effect of implementing the crustal density is computed by the comparison of the interpolated gravity using the density models versus that using constant densities. The results are shown and broadly discussed.
Language:
English
Type:
info:eu-repo/semantics/conferenceObject
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