Extraction of GRACE/GRACE-FO observed mass change patterns across Antarctica via independent component analysis (ICA)
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...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884697/ http://www.ncbi.nlm.nih.gov/pubmed/35250356 https://doi.org/10.1093/gji/ggac033 |
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ftpubmed:oai:pubmedcentral.nih.gov:8884697 2023-05-15T13:41:03+02:00 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 2022-01-29 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884697/ http://www.ncbi.nlm.nih.gov/pubmed/35250356 https://doi.org/10.1093/gji/ggac033 en eng Oxford University Press http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884697/ http://www.ncbi.nlm.nih.gov/pubmed/35250356 http://dx.doi.org/10.1093/gji/ggac033 © The Author(s) 2022. Published by Oxford University Press on behalf of The Royal Astronomical Society. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Geophys J Int GJI Gravity Geodesy and Tides Text 2022 ftpubmed https://doi.org/10.1093/gji/ggac033 2023-02-05T01:38:51Z 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. Text Antarc* Antarctic Antarctica Ice Sheet PubMed Central (PMC) Antarctic Geophysical Journal International 229 3 1914 1926 |
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PubMed Central (PMC) |
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ftpubmed |
language |
English |
topic |
GJI Gravity Geodesy and Tides |
spellingShingle |
GJI Gravity Geodesy and Tides 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) |
topic_facet |
GJI Gravity Geodesy and Tides |
description |
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. |
format |
Text |
author |
Shi, Tianyan Fukuda, Yoichi Doi, Koichiro Okuno, Jun’ichi |
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 |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884697/ http://www.ncbi.nlm.nih.gov/pubmed/35250356 https://doi.org/10.1093/gji/ggac033 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
Geophys J Int |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884697/ http://www.ncbi.nlm.nih.gov/pubmed/35250356 http://dx.doi.org/10.1093/gji/ggac033 |
op_rights |
© The Author(s) 2022. Published by Oxford University Press on behalf of The Royal Astronomical Society. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (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 |
container_volume |
229 |
container_issue |
3 |
container_start_page |
1914 |
op_container_end_page |
1926 |
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1766145168261513216 |