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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Published in:Remote Sensing
Main Authors: Wenhao Li, Fei Li, C.K. Shum, Chanfang Shu, Feng Ming, Shengkai Zhang, Qingchuan Zhang, Wei Chen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
GPS
GIA
Q
Online Access:https://doi.org/10.3390/rs14051070
https://doaj.org/article/97e34ecafa2241b0b12af61ee5a77576
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spelling 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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