Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series
Past redistributions of the Earth’s mass resulting from the Earth’s viscoelastic response to the cycle of deglaciation and glaciation reflect the process known as glacial isostatic adjustment (GIA). GPS data are effective at constraining GIA velocities, provided that these data are accurate, have ad...
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ftdoajarticles:oai:doaj.org/article:97e34ecafa2241b0b12af61ee5a77576 2023-05-15T13:24:10+02:00 Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series Wenhao Li Fei Li C.K. Shum Chanfang Shu Feng Ming Shengkai Zhang Qingchuan Zhang Wei Chen 2022-02-01T00:00:00Z https://doi.org/10.3390/rs14051070 https://doaj.org/article/97e34ecafa2241b0b12af61ee5a77576 EN eng MDPI AG https://www.mdpi.com/2072-4292/14/5/1070 https://doaj.org/toc/2072-4292 doi:10.3390/rs14051070 2072-4292 https://doaj.org/article/97e34ecafa2241b0b12af61ee5a77576 Remote Sensing, Vol 14, Iss 1070, p 1070 (2022) GPS Antarctica common mode error noise model GIA Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14051070 2022-12-31T15:51:38Z Past redistributions of the Earth’s mass resulting from the Earth’s viscoelastic response to the cycle of deglaciation and glaciation reflect the process known as glacial isostatic adjustment (GIA). GPS data are effective at constraining GIA velocities, provided that these data are accurate, have adequate spatial coverage, and account for competing geophysical processes, including the elastic loading of ice/snow ablation/accumulation. GPS solutions are significantly affected by common mode errors (CMEs) and the choice of optimal noise model, and they are contaminated by other geophysical signals due primarily to the Earth’s elastic response. Here, independent component analysis is used to remove the CMEs, and the Akaike information criterion is used to determine the optimal noise model for 79 GPS stations in Antarctica, primarily distributed across West Antarctica and the Antarctic Peninsula. Next, a high-resolution surface mass variation model is used to correct for elastic deformation. Finally, we use the improved GPS solution to assess the accuracy of seven contemporary GIA forward models in Antarctica. The results show that the maximal GPS crustal displacement velocity deviations reach 4.0 mm yr −1 , and the mean variation is 0.4 mm yr −1 after removing CMEs and implementing the noise analysis. All GIA model-predicted velocities are found to systematically underestimate the GPS-observed velocities in the Amundsen Sea Embayment. Additionally, the GPS vertical velocities on the North Antarctic Peninsula are larger than those on the South Antarctic Peninsula, and most of the forward models underestimate the GIA impact on the Antarctic Peninsula. Article in Journal/Newspaper Amundsen Sea Antarc* Antarctic Antarctic Peninsula Antarctica West Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Antarctic Peninsula West Antarctica Amundsen Sea Remote Sensing 14 5 1070 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
GPS Antarctica common mode error noise model GIA Science Q |
spellingShingle |
GPS Antarctica common mode error noise model GIA Science Q Wenhao Li Fei Li C.K. Shum Chanfang Shu Feng Ming Shengkai Zhang Qingchuan Zhang Wei Chen Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
topic_facet |
GPS Antarctica common mode error noise model GIA Science Q |
description |
Past redistributions of the Earth’s mass resulting from the Earth’s viscoelastic response to the cycle of deglaciation and glaciation reflect the process known as glacial isostatic adjustment (GIA). GPS data are effective at constraining GIA velocities, provided that these data are accurate, have adequate spatial coverage, and account for competing geophysical processes, including the elastic loading of ice/snow ablation/accumulation. GPS solutions are significantly affected by common mode errors (CMEs) and the choice of optimal noise model, and they are contaminated by other geophysical signals due primarily to the Earth’s elastic response. Here, independent component analysis is used to remove the CMEs, and the Akaike information criterion is used to determine the optimal noise model for 79 GPS stations in Antarctica, primarily distributed across West Antarctica and the Antarctic Peninsula. Next, a high-resolution surface mass variation model is used to correct for elastic deformation. Finally, we use the improved GPS solution to assess the accuracy of seven contemporary GIA forward models in Antarctica. The results show that the maximal GPS crustal displacement velocity deviations reach 4.0 mm yr −1 , and the mean variation is 0.4 mm yr −1 after removing CMEs and implementing the noise analysis. All GIA model-predicted velocities are found to systematically underestimate the GPS-observed velocities in the Amundsen Sea Embayment. Additionally, the GPS vertical velocities on the North Antarctic Peninsula are larger than those on the South Antarctic Peninsula, and most of the forward models underestimate the GIA impact on the Antarctic Peninsula. |
format |
Article in Journal/Newspaper |
author |
Wenhao Li Fei Li C.K. Shum Chanfang Shu Feng Ming Shengkai Zhang Qingchuan Zhang Wei Chen |
author_facet |
Wenhao Li Fei Li C.K. Shum Chanfang Shu Feng Ming Shengkai Zhang Qingchuan Zhang Wei Chen |
author_sort |
Wenhao Li |
title |
Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
title_short |
Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
title_full |
Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
title_fullStr |
Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
title_full_unstemmed |
Assessment of Contemporary Antarctic GIA Models Using High-Precision GPS Time Series |
title_sort |
assessment of contemporary antarctic gia models using high-precision gps time series |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14051070 https://doaj.org/article/97e34ecafa2241b0b12af61ee5a77576 |
geographic |
Antarctic The Antarctic Antarctic Peninsula West Antarctica Amundsen Sea |
geographic_facet |
Antarctic The Antarctic Antarctic Peninsula West Antarctica Amundsen Sea |
genre |
Amundsen Sea Antarc* Antarctic Antarctic Peninsula Antarctica West Antarctica |
genre_facet |
Amundsen Sea Antarc* Antarctic Antarctic Peninsula Antarctica West Antarctica |
op_source |
Remote Sensing, Vol 14, Iss 1070, p 1070 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/5/1070 https://doaj.org/toc/2072-4292 doi:10.3390/rs14051070 2072-4292 https://doaj.org/article/97e34ecafa2241b0b12af61ee5a77576 |
op_doi |
https://doi.org/10.3390/rs14051070 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
5 |
container_start_page |
1070 |
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1766377768323383296 |