Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates
Spatially correlated common mode error (CME) always exists in regional, or-larger, globalpositioning system (GPS) networks. We applied independent component analysis (ICA) to GPS vertical coordinate time-series in Antarctica from 2010 to 2014 and made a comparison with the principal component analys...
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Online Access: | https://doi.org/10.1093/gji/ggy217 http://ecite.utas.edu.au/127362 |
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ftunivtasecite:oai:ecite.utas.edu.au:127362 2023-05-15T13:55:18+02:00 Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates Liu, B King, M Dai, W 2018 https://doi.org/10.1093/gji/ggy217 http://ecite.utas.edu.au/127362 en eng Blackwell Publishing Ltd http://dx.doi.org/10.1093/gji/ggy217 http://purl.org/au-research/grants/arc/FT110100207 Liu, B and King, M and Dai, W, Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates, Geophysical Journal International, 214, (3) pp. 1652-1664. ISSN 0956-540X (2018) [Refereed Article] http://ecite.utas.edu.au/127362 Engineering Geomatic Engineering Geodesy Refereed Article PeerReviewed 2018 ftunivtasecite https://doi.org/10.1093/gji/ggy217 2019-12-13T22:25:41Z Spatially correlated common mode error (CME) always exists in regional, or-larger, globalpositioning system (GPS) networks. We applied independent component analysis (ICA) to GPS vertical coordinate time-series in Antarctica from 2010 to 2014 and made a comparison with the principal component analysis (PCA). Using PCA/ICA, the time-series can be decomposed into a set of temporal components and their spatial responses. We assume the components with common spatial responses are CME. An average reduction of ∼40 per cent about the root-mean-square (RMS) values was achieved in both PCA and ICA filtering. However, the common mode components obtained from the two approaches have different spatial and temporal features. ICA time-series present interesting correlations with modelled atmospheric and non-tidal ocean loading displacements. A white noise plus power law (PL) noise model was adopted in the GPS velocity estimation using maximum likelihood estimation analysis, with ∼55 per cent reduction of the velocity uncertainties after filtering using ICA. Meanwhile, spatiotemporal filtering reduces the amplitude of PL and periodic terms in the GPS time-series. Finally, we compare the GPS uplift velocities, after correction for elastic effects, with recent models of glacial isostatic adjustment (GIA). The agreements of the GPS observed velocities and four GIA models are generally improved after the spatiotemporal filtering, with a mean reduction of ∼0.9 mm yr−1 of the weighted RMS values, possibly allowing for more confident separation of various GIA model predictions. Article in Journal/Newspaper Antarc* Antarctic Antarctica eCite UTAS (University of Tasmania) Antarctic Geophysical Journal International 214 3 1652 1664 |
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Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Engineering Geomatic Engineering Geodesy |
spellingShingle |
Engineering Geomatic Engineering Geodesy Liu, B King, M Dai, W Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
topic_facet |
Engineering Geomatic Engineering Geodesy |
description |
Spatially correlated common mode error (CME) always exists in regional, or-larger, globalpositioning system (GPS) networks. We applied independent component analysis (ICA) to GPS vertical coordinate time-series in Antarctica from 2010 to 2014 and made a comparison with the principal component analysis (PCA). Using PCA/ICA, the time-series can be decomposed into a set of temporal components and their spatial responses. We assume the components with common spatial responses are CME. An average reduction of ∼40 per cent about the root-mean-square (RMS) values was achieved in both PCA and ICA filtering. However, the common mode components obtained from the two approaches have different spatial and temporal features. ICA time-series present interesting correlations with modelled atmospheric and non-tidal ocean loading displacements. A white noise plus power law (PL) noise model was adopted in the GPS velocity estimation using maximum likelihood estimation analysis, with ∼55 per cent reduction of the velocity uncertainties after filtering using ICA. Meanwhile, spatiotemporal filtering reduces the amplitude of PL and periodic terms in the GPS time-series. Finally, we compare the GPS uplift velocities, after correction for elastic effects, with recent models of glacial isostatic adjustment (GIA). The agreements of the GPS observed velocities and four GIA models are generally improved after the spatiotemporal filtering, with a mean reduction of ∼0.9 mm yr−1 of the weighted RMS values, possibly allowing for more confident separation of various GIA model predictions. |
format |
Article in Journal/Newspaper |
author |
Liu, B King, M Dai, W |
author_facet |
Liu, B King, M Dai, W |
author_sort |
Liu, B |
title |
Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
title_short |
Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
title_full |
Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
title_fullStr |
Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
title_full_unstemmed |
Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates |
title_sort |
common mode error in antarctic gps coordinate time-series on its effect on bedrock-uplift estimates |
publisher |
Blackwell Publishing Ltd |
publishDate |
2018 |
url |
https://doi.org/10.1093/gji/ggy217 http://ecite.utas.edu.au/127362 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_relation |
http://dx.doi.org/10.1093/gji/ggy217 http://purl.org/au-research/grants/arc/FT110100207 Liu, B and King, M and Dai, W, Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates, Geophysical Journal International, 214, (3) pp. 1652-1664. ISSN 0956-540X (2018) [Refereed Article] http://ecite.utas.edu.au/127362 |
op_doi |
https://doi.org/10.1093/gji/ggy217 |
container_title |
Geophysical Journal International |
container_volume |
214 |
container_issue |
3 |
container_start_page |
1652 |
op_container_end_page |
1664 |
_version_ |
1766261679514976256 |