Gravity inversion using point mass distribution
Global climate change is a serious problem influencing our environment and Greenland ice mass loss is one of the phenomena of climate change. Every year hundreds of gigaton of ice melts and flows into the ocean, which causes the rising of the global sea level. This work is to estimate the ice mass l...
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ftunivstutt:oai:elib.uni-stuttgart.de:11682/9193 2023-05-15T16:26:31+02:00 Gravity inversion using point mass distribution Han, Yuchen 2017 https://doi.org/10.18419/opus-9176 http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91931 http://elib.uni-stuttgart.de/handle/11682/9193 en eng 495431818 http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91931 http://elib.uni-stuttgart.de/handle/11682/9193 http://dx.doi.org/10.18419/opus-9176 info:eu-repo/semantics/openAccess 550 620 masterThesis 2017 ftunivstutt https://doi.org/10.18419/opus-9176 2022-03-10T11:10:13Z Global climate change is a serious problem influencing our environment and Greenland ice mass loss is one of the phenomena of climate change. Every year hundreds of gigaton of ice melts and flows into the ocean, which causes the rising of the global sea level. This work is to estimate the ice mass loss of Greenland with the gravitational signals derived from GRACE (Gravity Recovery And Climate Experiment) data. The point-mass modelling applied in this work enables us to infer the mass variations on the Earth’s surface from the gravitational signals at satellite altitude. In order to solve the derived observation equations and stabilize the ill-posed problem, we apply the least-squares adjustment with Tikhonov regularization. Our simulation studies and real data experiment show that point-mass modelling provides both rational mass variation results and high-resolution spatial mass variation patterns. The numerical results indicate that on average near 300 km3 of ice melts and flows into the ocean from Greenland every year. Master Thesis Greenland OPUS - Publication Server of the University of Stuttgart Greenland |
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OPUS - Publication Server of the University of Stuttgart |
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ftunivstutt |
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English |
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550 620 Han, Yuchen Gravity inversion using point mass distribution |
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description |
Global climate change is a serious problem influencing our environment and Greenland ice mass loss is one of the phenomena of climate change. Every year hundreds of gigaton of ice melts and flows into the ocean, which causes the rising of the global sea level. This work is to estimate the ice mass loss of Greenland with the gravitational signals derived from GRACE (Gravity Recovery And Climate Experiment) data. The point-mass modelling applied in this work enables us to infer the mass variations on the Earth’s surface from the gravitational signals at satellite altitude. In order to solve the derived observation equations and stabilize the ill-posed problem, we apply the least-squares adjustment with Tikhonov regularization. Our simulation studies and real data experiment show that point-mass modelling provides both rational mass variation results and high-resolution spatial mass variation patterns. The numerical results indicate that on average near 300 km3 of ice melts and flows into the ocean from Greenland every year. |
format |
Master Thesis |
author |
Han, Yuchen |
author_facet |
Han, Yuchen |
author_sort |
Han, Yuchen |
title |
Gravity inversion using point mass distribution |
title_short |
Gravity inversion using point mass distribution |
title_full |
Gravity inversion using point mass distribution |
title_fullStr |
Gravity inversion using point mass distribution |
title_full_unstemmed |
Gravity inversion using point mass distribution |
title_sort |
gravity inversion using point mass distribution |
publishDate |
2017 |
url |
https://doi.org/10.18419/opus-9176 http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91931 http://elib.uni-stuttgart.de/handle/11682/9193 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
495431818 http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91931 http://elib.uni-stuttgart.de/handle/11682/9193 http://dx.doi.org/10.18419/opus-9176 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.18419/opus-9176 |
_version_ |
1766015448144412672 |