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Satellite gravity gradient grids for geophysics

The Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite aimed at determining the Earth’s mean gravity field. GOCE delivered gravity gradients containing directional information, which are complicated to use because of their error characteristics and because they are given in a...

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Autores principales: Bouman, Johannes, Ebbing, Jörg, Fuchs, Martin, Sebera, Josef, Lieb, Verena, Szwillus, Wolfgang, Haagmans, Roger, Novak, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750030/
https://www.ncbi.nlm.nih.gov/pubmed/26864314
http://dx.doi.org/10.1038/srep21050
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author Bouman, Johannes
Ebbing, Jörg
Fuchs, Martin
Sebera, Josef
Lieb, Verena
Szwillus, Wolfgang
Haagmans, Roger
Novak, Pavel
author_facet Bouman, Johannes
Ebbing, Jörg
Fuchs, Martin
Sebera, Josef
Lieb, Verena
Szwillus, Wolfgang
Haagmans, Roger
Novak, Pavel
author_sort Bouman, Johannes
collection PubMed
description The Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite aimed at determining the Earth’s mean gravity field. GOCE delivered gravity gradients containing directional information, which are complicated to use because of their error characteristics and because they are given in a rotating instrument frame indirectly related to the Earth. We compute gravity gradients in grids at 225 km and 255 km altitude above the reference ellipsoid corresponding to the GOCE nominal and lower orbit phases respectively, and find that the grids may contain additional high-frequency content compared with GOCE-based global models. We discuss the gradient sensitivity for crustal depth slices using a 3D lithospheric model of the North-East Atlantic region, which shows that the depth sensitivity differs from gradient to gradient. In addition, the relative signal power for the individual gradient component changes comparing the 225 km and 255 km grids, implying that using all components at different heights reduces parameter uncertainties in geophysical modelling. Furthermore, since gravity gradients contain complementary information to gravity, we foresee the use of the grids in a wide range of applications from lithospheric modelling to studies on dynamic topography, and glacial isostatic adjustment, to bedrock geometry determination under ice sheets.
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spelling pubmed-47500302016-02-18 Satellite gravity gradient grids for geophysics Bouman, Johannes Ebbing, Jörg Fuchs, Martin Sebera, Josef Lieb, Verena Szwillus, Wolfgang Haagmans, Roger Novak, Pavel Sci Rep Article The Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite aimed at determining the Earth’s mean gravity field. GOCE delivered gravity gradients containing directional information, which are complicated to use because of their error characteristics and because they are given in a rotating instrument frame indirectly related to the Earth. We compute gravity gradients in grids at 225 km and 255 km altitude above the reference ellipsoid corresponding to the GOCE nominal and lower orbit phases respectively, and find that the grids may contain additional high-frequency content compared with GOCE-based global models. We discuss the gradient sensitivity for crustal depth slices using a 3D lithospheric model of the North-East Atlantic region, which shows that the depth sensitivity differs from gradient to gradient. In addition, the relative signal power for the individual gradient component changes comparing the 225 km and 255 km grids, implying that using all components at different heights reduces parameter uncertainties in geophysical modelling. Furthermore, since gravity gradients contain complementary information to gravity, we foresee the use of the grids in a wide range of applications from lithospheric modelling to studies on dynamic topography, and glacial isostatic adjustment, to bedrock geometry determination under ice sheets. Nature Publishing Group 2016-02-11 /pmc/articles/PMC4750030/ /pubmed/26864314 http://dx.doi.org/10.1038/srep21050 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Bouman, Johannes
Ebbing, Jörg
Fuchs, Martin
Sebera, Josef
Lieb, Verena
Szwillus, Wolfgang
Haagmans, Roger
Novak, Pavel
Satellite gravity gradient grids for geophysics
title Satellite gravity gradient grids for geophysics
title_full Satellite gravity gradient grids for geophysics
title_fullStr Satellite gravity gradient grids for geophysics
title_full_unstemmed Satellite gravity gradient grids for geophysics
title_short Satellite gravity gradient grids for geophysics
title_sort satellite gravity gradient grids for geophysics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750030/
https://www.ncbi.nlm.nih.gov/pubmed/26864314
http://dx.doi.org/10.1038/srep21050
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