2015
DOI: 10.1007/s00190-015-0858-5
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Contribution of mass density heterogeneities to the quasigeoid-to-geoid separation

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Cited by 25 publications
(8 citation statements)
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“…A more refined method of computing the disturbing potential on the geoid that takes into consideration a variable topographic density distribution was developed by Reference [15] and later applied by References [6,7].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A more refined method of computing the disturbing potential on the geoid that takes into consideration a variable topographic density distribution was developed by Reference [15] and later applied by References [6,7].…”
Section: Methodsmentioning
confidence: 99%
“…Ascertaining that the topographic density could not be determined accurately, Molodensky [3] introduced the concept of the quasigeoid surface, which serves as a practical height reference surface to define the normal heights without adopting any hypothesis about the topographical density distribution. The differences between the geoid and the quasigeoid (i.e., the geoid-to-quasigeoid separation) were found to be typically within a few centimeters, with maxima in mountainous regions reaching a few meters [4][5][6][7], while completely negligible offshore [8]. In planetary studies, geometric heights are widely used instead of physical heights.…”
Section: Introductionmentioning
confidence: 99%
“…The calculation of forward models can be performed in spatial or spectral domain which have different pros and cons. The reader is referred to literature for different stateof-the-art examples (e.g., Grombein et al 2016;Root et al 2016;Tenzer et al 2016). Topographic gravity field models are used: (a) to enhance the representation of the high frequency components of the gravity field (reducing omission error), (b) to compute the topographic attraction which is then removed from gravity measurements helping to investigate the residual signal, and (c) to interpolate and predict gravity values in regions that have sparse or no gravity measurements.…”
Section: Introductionmentioning
confidence: 99%
“…Gravity forward modelling can be realized in spatial or in spectral domain. Different examples can be found in the literature as presented by Grombein et al (2016), Hirt and Rexer (2015); Hirt et al (2016a), Rexer et al (2016), Root et al (2016), Tenzer et al (2012Tenzer et al ( , 2015Tenzer et al ( , 2016, Tenzer and Chen (2019) and Wang and Yang (2013) among many others. For accurate spatial domain gravity forward modelling, related Newtonian integration should consider all the mass sources over the whole Earth.…”
Section: Introductionmentioning
confidence: 99%