PCA-SOM of GRACE-FO total water storage for global climate decisions
The gravity recovery and climate experiment (GRACE) and GRACE-Follow on (FO) data provide valuable information about dynamic total water storage (TWS). The complexity of the computational process and the influence of various parameters on TWS changes are complicated in their interpretation. Principa...
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ftvilniusgtuojs:oai:journals.vgtu.lt:article/15171 2023-05-15T13:31:54+02:00 PCA-SOM of GRACE-FO total water storage for global climate decisions Memarian Sorkhabi, Omid Kurdpour, Iman 2022-12-14 application/pdf https://journals.vilniustech.lt/index.php/GAC/article/view/15171 https://doi.org/10.3846/gac.2022.15171 eng eng Vilnius Gediminas Technical University https://journals.vilniustech.lt/index.php/GAC/article/view/15171/11483 https://journals.vilniustech.lt/index.php/GAC/article/view/15171 doi:10.3846/gac.2022.15171 Copyright (c) 2022 The Author(s). Published by Vilnius Gediminas Technical University. http://creativecommons.org/licenses/by/4.0 CC-BY Geodesy and Cartography; Vol 48 No 4 (2022); 243–247 2029-7009 2029-6991 GRACE-FO SOM TWS GRACE climate info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2022 ftvilniusgtuojs https://doi.org/10.3846/gac.2022.15171 2022-12-15T00:14:59Z The gravity recovery and climate experiment (GRACE) and GRACE-Follow on (FO) data provide valuable information about dynamic total water storage (TWS). The complexity of the computational process and the influence of various parameters on TWS changes are complicated in their interpretation. Principal component analysis (PCA) has been used to identify key components to amplify signals and reduce noise in observations. For this purpose, in this research, the Self-organizing map algorithm (SOM) has been used to cluster TWS in 4 categories. The results show that the western regions of Greenland and part of Antarctica are in the critical cluster and have a TWS rate of about –0.2 m/year, which indicates the melting of ice in these regions. The advantage of PCA-SOM is the easy interpretation of TWS, which reduces the impact of seasonal parameters, observation noise and measurement error, and facilitates global policy decisions in theface of climate change. Article in Journal/Newspaper Antarc* Antarctica Greenland VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech) Greenland Geodesy and cartography 48 4 243 247 |
institution |
Open Polar |
collection |
VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech) |
op_collection_id |
ftvilniusgtuojs |
language |
English |
topic |
GRACE-FO SOM TWS GRACE climate |
spellingShingle |
GRACE-FO SOM TWS GRACE climate Memarian Sorkhabi, Omid Kurdpour, Iman PCA-SOM of GRACE-FO total water storage for global climate decisions |
topic_facet |
GRACE-FO SOM TWS GRACE climate |
description |
The gravity recovery and climate experiment (GRACE) and GRACE-Follow on (FO) data provide valuable information about dynamic total water storage (TWS). The complexity of the computational process and the influence of various parameters on TWS changes are complicated in their interpretation. Principal component analysis (PCA) has been used to identify key components to amplify signals and reduce noise in observations. For this purpose, in this research, the Self-organizing map algorithm (SOM) has been used to cluster TWS in 4 categories. The results show that the western regions of Greenland and part of Antarctica are in the critical cluster and have a TWS rate of about –0.2 m/year, which indicates the melting of ice in these regions. The advantage of PCA-SOM is the easy interpretation of TWS, which reduces the impact of seasonal parameters, observation noise and measurement error, and facilitates global policy decisions in theface of climate change. |
format |
Article in Journal/Newspaper |
author |
Memarian Sorkhabi, Omid Kurdpour, Iman |
author_facet |
Memarian Sorkhabi, Omid Kurdpour, Iman |
author_sort |
Memarian Sorkhabi, Omid |
title |
PCA-SOM of GRACE-FO total water storage for global climate decisions |
title_short |
PCA-SOM of GRACE-FO total water storage for global climate decisions |
title_full |
PCA-SOM of GRACE-FO total water storage for global climate decisions |
title_fullStr |
PCA-SOM of GRACE-FO total water storage for global climate decisions |
title_full_unstemmed |
PCA-SOM of GRACE-FO total water storage for global climate decisions |
title_sort |
pca-som of grace-fo total water storage for global climate decisions |
publisher |
Vilnius Gediminas Technical University |
publishDate |
2022 |
url |
https://journals.vilniustech.lt/index.php/GAC/article/view/15171 https://doi.org/10.3846/gac.2022.15171 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
Geodesy and Cartography; Vol 48 No 4 (2022); 243–247 2029-7009 2029-6991 |
op_relation |
https://journals.vilniustech.lt/index.php/GAC/article/view/15171/11483 https://journals.vilniustech.lt/index.php/GAC/article/view/15171 doi:10.3846/gac.2022.15171 |
op_rights |
Copyright (c) 2022 The Author(s). Published by Vilnius Gediminas Technical University. http://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3846/gac.2022.15171 |
container_title |
Geodesy and cartography |
container_volume |
48 |
container_issue |
4 |
container_start_page |
243 |
op_container_end_page |
247 |
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1766022307269050368 |