Separating GIA signal from surface mass change using GPS and GRACE data
The visco-elastic response of the solid Earth to the past glacial cycles and the present-day surface mass change (PDSMC) are detected by the geodetic observation systems such as global navigation satellite system and satellite gravimetry. Majority of the contemporary PDSMC is driven by climate chang...
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Online Access: | https://doi.org/10.1093/gji/ggac336 |
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ftzenodo:oai:zenodo.org:7348100 2024-09-15T18:09:50+00:00 Separating GIA signal from surface mass change using GPS and GRACE data Vishwakarma, Bramha D Ziegler, Yann Bamber, Jonathan L Royston, S 2022-08-23 https://doi.org/10.1093/gji/ggac336 unknown Zenodo https://zenodo.org/communities/globalmass https://zenodo.org/communities/eu https://doi.org/10.1093/gji/ggac336 oai:zenodo.org:7348100 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/article 2022 ftzenodo https://doi.org/10.1093/gji/ggac336 2024-07-26T04:51:49Z The visco-elastic response of the solid Earth to the past glacial cycles and the present-day surface mass change (PDSMC) are detected by the geodetic observation systems such as global navigation satellite system and satellite gravimetry. Majority of the contemporary PDSMC is driven by climate change and in order to better understand them using the aforementioned geodetic observations, glacial isostatic adjustment (GIA) signal should be accounted first. The default approach is to use forward GIA models that use uncertain ice-load history and approximate Earth rheology to predict GIA, yielding large uncertainties. The proliferation of contemporary, global, geodetic observations and their coverage have therefore enabled estimation of data-driven GIA solutions. A novel framework is presented that uses geophysical relations between the vertical land motion (VLM) and geopotential anomaly due to GIA and PDSMC to express GPS VLM trends and GRACE geopotential trends as a function of either GIA or PDSMC, which can be easily solved using least-squares regression. The GIA estimates are data-driven and differ significantly from forward models over Alaska and Greenland. Article in Journal/Newspaper Greenland Alaska Zenodo Geophysical Journal International 232 1 537 547 |
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description |
The visco-elastic response of the solid Earth to the past glacial cycles and the present-day surface mass change (PDSMC) are detected by the geodetic observation systems such as global navigation satellite system and satellite gravimetry. Majority of the contemporary PDSMC is driven by climate change and in order to better understand them using the aforementioned geodetic observations, glacial isostatic adjustment (GIA) signal should be accounted first. The default approach is to use forward GIA models that use uncertain ice-load history and approximate Earth rheology to predict GIA, yielding large uncertainties. The proliferation of contemporary, global, geodetic observations and their coverage have therefore enabled estimation of data-driven GIA solutions. A novel framework is presented that uses geophysical relations between the vertical land motion (VLM) and geopotential anomaly due to GIA and PDSMC to express GPS VLM trends and GRACE geopotential trends as a function of either GIA or PDSMC, which can be easily solved using least-squares regression. The GIA estimates are data-driven and differ significantly from forward models over Alaska and Greenland. |
format |
Article in Journal/Newspaper |
author |
Vishwakarma, Bramha D Ziegler, Yann Bamber, Jonathan L Royston, S |
spellingShingle |
Vishwakarma, Bramha D Ziegler, Yann Bamber, Jonathan L Royston, S Separating GIA signal from surface mass change using GPS and GRACE data |
author_facet |
Vishwakarma, Bramha D Ziegler, Yann Bamber, Jonathan L Royston, S |
author_sort |
Vishwakarma, Bramha D |
title |
Separating GIA signal from surface mass change using GPS and GRACE data |
title_short |
Separating GIA signal from surface mass change using GPS and GRACE data |
title_full |
Separating GIA signal from surface mass change using GPS and GRACE data |
title_fullStr |
Separating GIA signal from surface mass change using GPS and GRACE data |
title_full_unstemmed |
Separating GIA signal from surface mass change using GPS and GRACE data |
title_sort |
separating gia signal from surface mass change using gps and grace data |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.1093/gji/ggac336 |
genre |
Greenland Alaska |
genre_facet |
Greenland Alaska |
op_relation |
https://zenodo.org/communities/globalmass https://zenodo.org/communities/eu https://doi.org/10.1093/gji/ggac336 oai:zenodo.org:7348100 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.1093/gji/ggac336 |
container_title |
Geophysical Journal International |
container_volume |
232 |
container_issue |
1 |
container_start_page |
537 |
op_container_end_page |
547 |
_version_ |
1810447430109364224 |