Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA)
SUMMARY Here we qualitatively analyse the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex data sets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effe...
Published in: | Geophysical Journal International |
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Oxford University Press (OUP)
2022
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Online Access: | http://dx.doi.org/10.1093/gji/ggac033 https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggac033/42330943/ggac033.pdf https://academic.oup.com/gji/article-pdf/229/3/1914/42644192/ggac033.pdf |
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croxfordunivpr:10.1093/gji/ggac033 2024-05-19T07:30:13+00:00 Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) Shi, Tianyan Fukuda, Yoichi Doi, Koichiro Okuno, Jun’ichi NASA JPL CSR GFZ ICA 2022 http://dx.doi.org/10.1093/gji/ggac033 https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggac033/42330943/ggac033.pdf https://academic.oup.com/gji/article-pdf/229/3/1914/42644192/ggac033.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model Geophysical Journal International volume 229, issue 3, page 1914-1926 ISSN 0956-540X 1365-246X journal-article 2022 croxfordunivpr https://doi.org/10.1093/gji/ggac033 2024-05-02T09:30:57Z SUMMARY Here we qualitatively analyse the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex data sets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effects and improve understanding of Antarctic Ice Sheet (AIS) mass-balance. We extract the six leading independent components from gravimetric data acquired during the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions. The results reveal that the observed continental-scale mass changes can be effectively separated into several spatial patterns that may be dominated by different physical processes. Although the hidden independent physical processes cannot be completely isolated, some significant signals, such as glacier melt, snow accumulation, periodic climatic signals, and GIA effects, can be determined without introducing any external information. We also observe that the time period of the analysed data set has a direct impact on the ICA results, as the impacts of extreme events, such as the anomalously large snowfall events in the late 2000s, may cause dramatic spatial and temporal changes in the ICA results. ICA provides a unique and informative approach to obtain a better understanding of both AIS-scale mass changes and specific regional-scale spatiotemporal signal variations. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Oxford University Press Geophysical Journal International 229 3 1914 1926 |
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Open Polar |
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Oxford University Press |
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croxfordunivpr |
language |
English |
description |
SUMMARY Here we qualitatively analyse the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex data sets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effects and improve understanding of Antarctic Ice Sheet (AIS) mass-balance. We extract the six leading independent components from gravimetric data acquired during the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions. The results reveal that the observed continental-scale mass changes can be effectively separated into several spatial patterns that may be dominated by different physical processes. Although the hidden independent physical processes cannot be completely isolated, some significant signals, such as glacier melt, snow accumulation, periodic climatic signals, and GIA effects, can be determined without introducing any external information. We also observe that the time period of the analysed data set has a direct impact on the ICA results, as the impacts of extreme events, such as the anomalously large snowfall events in the late 2000s, may cause dramatic spatial and temporal changes in the ICA results. ICA provides a unique and informative approach to obtain a better understanding of both AIS-scale mass changes and specific regional-scale spatiotemporal signal variations. |
author2 |
NASA JPL CSR GFZ ICA |
format |
Article in Journal/Newspaper |
author |
Shi, Tianyan Fukuda, Yoichi Doi, Koichiro Okuno, Jun’ichi |
spellingShingle |
Shi, Tianyan Fukuda, Yoichi Doi, Koichiro Okuno, Jun’ichi Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
author_facet |
Shi, Tianyan Fukuda, Yoichi Doi, Koichiro Okuno, Jun’ichi |
author_sort |
Shi, Tianyan |
title |
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
title_short |
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
title_full |
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
title_fullStr |
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
title_full_unstemmed |
Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA) |
title_sort |
extraction of grace/grace-fo observed mass change patterns across antarctica via independent component analysis (ica) |
publisher |
Oxford University Press (OUP) |
publishDate |
2022 |
url |
http://dx.doi.org/10.1093/gji/ggac033 https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggac033/42330943/ggac033.pdf https://academic.oup.com/gji/article-pdf/229/3/1914/42644192/ggac033.pdf |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
Geophysical Journal International volume 229, issue 3, page 1914-1926 ISSN 0956-540X 1365-246X |
op_rights |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
op_doi |
https://doi.org/10.1093/gji/ggac033 |
container_title |
Geophysical Journal International |
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229 |
container_issue |
3 |
container_start_page |
1914 |
op_container_end_page |
1926 |
_version_ |
1799484546177040384 |