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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fttumuenchen:oai:mediatum.ub.tum.de:node/1300217 2023-05-15T17:38:28+02:00 Satellite gravity gradient grids for geophysics Bouman J., Ebbing J., Fuchs M., Sebera J., Lieb V., Szwillus W., Haagmans R., Novak P. Deutsches Geodätisches Forschungsinstitut (DGFI-TUM) 2016-00-00 application/pdf https://mediatum.ub.tum.de/1300217 https://mediatum.ub.tum.de/doc/1300217/document.pdf https://doi.org/10.1038/srep21050 eng eng https://mediatum.ub.tum.de/1300217 https://mediatum.ub.tum.de/doc/1300217/document.pdf doi:10.1038/srep21050 info:eu-repo/semantics/openAccess info:eu-repo/classification/ddc/ article 2016 fttumuenchen https://doi.org/10.1038/srep21050 2023-03-16T23:52:16Z 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. Article in Journal/Newspaper North East Atlantic Munich University of Technology (TUM): mediaTUM Scientific Reports 6 1 |
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Munich University of Technology (TUM): mediaTUM |
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info:eu-repo/classification/ddc/ Bouman J., Ebbing J., Fuchs M., Sebera J., Lieb V., Szwillus W., Haagmans R., Novak P. Satellite gravity gradient grids for geophysics |
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info:eu-repo/classification/ddc/ |
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. |
author2 |
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM) |
format |
Article in Journal/Newspaper |
author |
Bouman J., Ebbing J., Fuchs M., Sebera J., Lieb V., Szwillus W., Haagmans R., Novak P. |
author_facet |
Bouman J., Ebbing J., Fuchs M., Sebera J., Lieb V., Szwillus W., Haagmans R., Novak P. |
author_sort |
Bouman J., Ebbing J., Fuchs M., Sebera J., Lieb V., Szwillus W., Haagmans R., Novak P. |
title |
Satellite gravity gradient grids for geophysics |
title_short |
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_sort |
satellite gravity gradient grids for geophysics |
publishDate |
2016 |
url |
https://mediatum.ub.tum.de/1300217 https://mediatum.ub.tum.de/doc/1300217/document.pdf https://doi.org/10.1038/srep21050 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_relation |
https://mediatum.ub.tum.de/1300217 https://mediatum.ub.tum.de/doc/1300217/document.pdf doi:10.1038/srep21050 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/srep21050 |
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Scientific Reports |
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6 |
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1 |
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1766138926214414336 |