Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance

Ice sheet changes of the Antarctic are the result of interactions among the ocean, atmosphere, and ice sheet. Studying the ice sheet mass variations helps us to understand the possible reasons for these changes. We used 164 months of Gravity Recovery and Climate Experiment (GRACE) satellite time-var...

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Published in:Remote Sensing
Main Authors: Jingang Zhan, Hongling Shi, Yong Wang, Yixin Yao
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs13030480
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/3/480/ 2023-08-20T04:02:27+02:00 Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance Jingang Zhan Hongling Shi Yong Wang Yixin Yao 2021-01-29 application/pdf https://doi.org/10.3390/rs13030480 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13030480 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 3; Pages: 480 grace gravity satellite El Niño ice sheet mass balance complex principal component analysis Text 2021 ftmdpi https://doi.org/10.3390/rs13030480 2023-08-01T00:58:01Z Ice sheet changes of the Antarctic are the result of interactions among the ocean, atmosphere, and ice sheet. Studying the ice sheet mass variations helps us to understand the possible reasons for these changes. We used 164 months of Gravity Recovery and Climate Experiment (GRACE) satellite time-varying solutions to study the principal components (PCs) of the Antarctic ice sheet mass change and their time-frequency variation. This assessment was based on complex principal component analysis (CPCA) and the wavelet amplitude-period spectrum (WAPS) method to study the PCs and their time-frequency information. The CPCA results revealed the PCs that affect the ice sheet balance, and the wavelet analysis exposed the time-frequency variation of the quasi-periodic signal in each component. The results show that the first PC, which has a linear term and low-frequency signals with periods greater than five years, dominates the variation trend of ice sheet in the Antarctic. The ratio of its variance to the total variance shows that the first PC explains 83.73% of the mass change in the ice sheet. Similar low-frequency signals are also found in the meridional wind at 700 hPa in the South Pacific and the sea surface temperature anomaly (SSTA) in the equatorial Pacific, with the correlation between the low-frequency periodic signal of SSTA in the equatorial Pacific and the first PC of the ice sheet mass change in Antarctica found to be 0.73. The phase signals in the mass change of West Antarctica indicate the upstream propagation of mass loss information over time from the ocean–ice interface to the southward upslope, which mainly reflects ocean-driven factors such as enhanced ice–ocean interaction and the intrusion of warm saline water into the cavities under ice shelves associated with ice sheets which sit on retrograde slopes. Meanwhile, the phase signals in the mass change of East Antarctica indicate the downstream propagation of mass increase information from the South Pole toward Dronning Maud Land, which mainly ... Text Antarc* Antarctic Antarctica Dronning Maud Land East Antarctica Ice Sheet Ice Shelves South pole South pole West Antarctica MDPI Open Access Publishing Antarctic The Antarctic East Antarctica Dronning Maud Land West Antarctica Pacific South Pole Remote Sensing 13 3 480
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic grace gravity satellite
El Niño
ice sheet mass balance
complex principal component analysis
spellingShingle grace gravity satellite
El Niño
ice sheet mass balance
complex principal component analysis
Jingang Zhan
Hongling Shi
Yong Wang
Yixin Yao
Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
topic_facet grace gravity satellite
El Niño
ice sheet mass balance
complex principal component analysis
description Ice sheet changes of the Antarctic are the result of interactions among the ocean, atmosphere, and ice sheet. Studying the ice sheet mass variations helps us to understand the possible reasons for these changes. We used 164 months of Gravity Recovery and Climate Experiment (GRACE) satellite time-varying solutions to study the principal components (PCs) of the Antarctic ice sheet mass change and their time-frequency variation. This assessment was based on complex principal component analysis (CPCA) and the wavelet amplitude-period spectrum (WAPS) method to study the PCs and their time-frequency information. The CPCA results revealed the PCs that affect the ice sheet balance, and the wavelet analysis exposed the time-frequency variation of the quasi-periodic signal in each component. The results show that the first PC, which has a linear term and low-frequency signals with periods greater than five years, dominates the variation trend of ice sheet in the Antarctic. The ratio of its variance to the total variance shows that the first PC explains 83.73% of the mass change in the ice sheet. Similar low-frequency signals are also found in the meridional wind at 700 hPa in the South Pacific and the sea surface temperature anomaly (SSTA) in the equatorial Pacific, with the correlation between the low-frequency periodic signal of SSTA in the equatorial Pacific and the first PC of the ice sheet mass change in Antarctica found to be 0.73. The phase signals in the mass change of West Antarctica indicate the upstream propagation of mass loss information over time from the ocean–ice interface to the southward upslope, which mainly reflects ocean-driven factors such as enhanced ice–ocean interaction and the intrusion of warm saline water into the cavities under ice shelves associated with ice sheets which sit on retrograde slopes. Meanwhile, the phase signals in the mass change of East Antarctica indicate the downstream propagation of mass increase information from the South Pole toward Dronning Maud Land, which mainly ...
format Text
author Jingang Zhan
Hongling Shi
Yong Wang
Yixin Yao
author_facet Jingang Zhan
Hongling Shi
Yong Wang
Yixin Yao
author_sort Jingang Zhan
title Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
title_short Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
title_full Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
title_fullStr Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
title_full_unstemmed Complex Principal Component Analysis of Antarctic Ice Sheet Mass Balance
title_sort complex principal component analysis of antarctic ice sheet mass balance
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13030480
geographic Antarctic
The Antarctic
East Antarctica
Dronning Maud Land
West Antarctica
Pacific
South Pole
geographic_facet Antarctic
The Antarctic
East Antarctica
Dronning Maud Land
West Antarctica
Pacific
South Pole
genre Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
Ice Sheet
Ice Shelves
South pole
South pole
West Antarctica
genre_facet Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
Ice Sheet
Ice Shelves
South pole
South pole
West Antarctica
op_source Remote Sensing; Volume 13; Issue 3; Pages: 480
op_relation https://dx.doi.org/10.3390/rs13030480
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13030480
container_title Remote Sensing
container_volume 13
container_issue 3
container_start_page 480
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