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A crustal thickness map of Africa derived from a global gravity field model using Euler deconvolution

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TLDR
This paper developed a new continental scale crustal model for Africa by modelling the free-air gravity anomaly EIGEN-GL04C, which was developed from 30 months of GRACE Level 1B data covering the period from 2003 February to 2005 July, and surface gravity data from seven different sources.
Abstract
SUMMARY We develop a new continental scale crustal model for Africa by modelling the free-air gravity anomaly EIGEN-GL04C, which was developed from 30 months of GRACE Level 1B data covering the period from 2003 February to 2005 July, and surface gravity data from seven different sources. From this gravity model, crustal thickness is estimated using 3-D Euler deconvolution, a method that does not rely on ap rioridepth and density constraints. The results are in good agreement (i.e. within 5km) of seismically determined Moho depth estimates from across the continent, except for narrow tectonic regions, such as rift valleys, and areas where seismic velocity models of the crust indicate a gradational Moho. The results show that crustal thickness is fairly homogeneous, with an average crustal thickness for the whole continent of 39 ±2(SD) km. The average Moho depth for most terrains is within 5km of the continental average, and there is little variability between terrains of different age. The average thickness for Archean, Proterozoic and Palaeozoic crust is 39, 39 and 41km, respectively. Crustal thickness in sedimentary basins across northern and central Africa varies between 33 and 36km. Through comparison with global averages for similar-aged terrains, we find that African crustal thickness does not deviate significantly from the thickness of crust in other parts of the world.

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Gravity derived Moho for South America

TL;DR: In this article, the authors used the combined gravity model EIGEN-6C, which is composed of GOCE and other gravity data, to derive crustal thickness from satellite gravity data.
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Avoidable Euler Errors – the use and abuse of Euler deconvolution applied to potential fields

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References
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Journal ArticleDOI

New, improved version of generic mapping tools released

TL;DR: GMT allows users to manipulate (x,y,z) data, and generate PostScript illustrations, including simple x-y diagrams, contour maps, color images, and artificially illuminated, perspective, and/or shaded-relief plots using a variety of map projections.
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Nature and composition of the continental crust: A lower crustal perspective

TL;DR: In this article, a three-layer crust consisting of upper, middle, and lower crust is divided into type sections associated with different tectonic provinces, in which P wave velocities increase progressively with depth and there is a large variation in average P wave velocity of the lower crust between different type sections.
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Seismic velocity structure and composition of the continental crust: A global view

TL;DR: In this paper, the authors presented the structure of the continental crust based on the results of seismic refraction profiles and infer crustal composition as a function of depth by comparing these results with high pressure laboratory measurements of seismic velocity for a wide range of rocks that are commonly found in the crust.
Journal ArticleDOI

Magnetic interpretation in three dimensions using Euler deconvolution

TL;DR: Magnetic survey data in grid form may be interpreted rapidly for source positions and depths by deconvolution using Euler's homogeneity relation as discussed by the authors, which employs gradients, either measured or calculated.
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