A new global GPS dataset for testing and improving modelled GIA uplift rates
We have produced a global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. GIA is the response of the solid Earth to past ice loading, primarily, since the Last Glacial Maximum, about 20 K yrs BP. Modelling GIA i...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.889923 2024-05-19T07:30:01+00:00 A new global GPS dataset for testing and improving modelled GIA uplift rates Schumacher, Maike King, Matt Rougier, Jonathan C Sha, Zhe Khan, Shfaqat Abbas Bamber, Jonathan L MEDIAN LATITUDE: 32.438997 * MEDIAN LONGITUDE: -22.328946 * SOUTH-BOUND LATITUDE: -87.415704 * WEST-BOUND LONGITUDE: -176.617115 * NORTH-BOUND LATITUDE: 83.643240 * EAST-BOUND LONGITUDE: 179.196562 2018 text/tab-separated-values, 12216 data points https://doi.pangaea.de/10.1594/PANGAEA.889923 https://doi.org/10.1594/PANGAEA.889923 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.889923 https://doi.org/10.1594/PANGAEA.889923 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess Supplement to: Schumacher, Maike; King, Matt; Rougier, Jonathan C; Sha, Zhe; Khan, Shfaqat Abbas; Bamber, Jonathan L (2018): A new global GPS data set for testing and improving modelled GIA uplift rates. Geophysical Journal International, 214(3), 2164-2176, https://doi.org/10.1093/gji/ggy235 LATITUDE LONGITUDE Station label Velocity vertical standard deviation Dataset 2018 ftpangaea https://doi.org/10.1594/PANGAEA.88992310.1093/gji/ggy235 2024-04-30T23:34:34Z We have produced a global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. GIA is the response of the solid Earth to past ice loading, primarily, since the Last Glacial Maximum, about 20 K yrs BP. Modelling GIA is challenging because of large uncertainties in ice loading history and also the viscosity of the upper and lower mantle. GPS data contain the signature of GIA in their uplift rates but these also contain other sources of vertical land motion (VLM) such as tectonics, human and natural influences on water storage that can mask the underlying GIA signal. A novel fully-automatic strategy was developed to post-process the GPS time series and to correct for non-GIA artefacts. Before estimating vertical velocities and uncertainties, we detected outliers and jumps and corrected for atmospheric mass loading displacements. We corrected the resulting velocities for the elastic response of the solid Earth to global changes in ice sheets, glaciers, and ocean loading, as well as for changes in the Earth's rotational pole relative to the 20th century average. We then applied a spatial median filter to remove sites where local effects were dominant to leave approximately 4000 GPS sites. The resulting novel global GPS dataset shows a clean GIA signal at all post-processed stations and is suitable to investigate the behaviour of global GIA forward models. The results are transformed from a frame with its origin in the centre of mass of the total Earth's system (CM) into a frame with its origin in the centre of mass of the solid Earth (CE) before comparison with 13 global GIA forward model solutions, with best fits with Pur-6-VM5 and ICE-6G predictions. The largest discrepancies for all models were identified for Antarctica and Greenland, which may be due to either uncertain mantle rheology, ice loading history/magnitude and/or GPS errors. Dataset Antarc* Antarctica Greenland PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-176.617115,179.196562,83.643240,-87.415704) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
LATITUDE LONGITUDE Station label Velocity vertical standard deviation |
spellingShingle |
LATITUDE LONGITUDE Station label Velocity vertical standard deviation Schumacher, Maike King, Matt Rougier, Jonathan C Sha, Zhe Khan, Shfaqat Abbas Bamber, Jonathan L A new global GPS dataset for testing and improving modelled GIA uplift rates |
topic_facet |
LATITUDE LONGITUDE Station label Velocity vertical standard deviation |
description |
We have produced a global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. GIA is the response of the solid Earth to past ice loading, primarily, since the Last Glacial Maximum, about 20 K yrs BP. Modelling GIA is challenging because of large uncertainties in ice loading history and also the viscosity of the upper and lower mantle. GPS data contain the signature of GIA in their uplift rates but these also contain other sources of vertical land motion (VLM) such as tectonics, human and natural influences on water storage that can mask the underlying GIA signal. A novel fully-automatic strategy was developed to post-process the GPS time series and to correct for non-GIA artefacts. Before estimating vertical velocities and uncertainties, we detected outliers and jumps and corrected for atmospheric mass loading displacements. We corrected the resulting velocities for the elastic response of the solid Earth to global changes in ice sheets, glaciers, and ocean loading, as well as for changes in the Earth's rotational pole relative to the 20th century average. We then applied a spatial median filter to remove sites where local effects were dominant to leave approximately 4000 GPS sites. The resulting novel global GPS dataset shows a clean GIA signal at all post-processed stations and is suitable to investigate the behaviour of global GIA forward models. The results are transformed from a frame with its origin in the centre of mass of the total Earth's system (CM) into a frame with its origin in the centre of mass of the solid Earth (CE) before comparison with 13 global GIA forward model solutions, with best fits with Pur-6-VM5 and ICE-6G predictions. The largest discrepancies for all models were identified for Antarctica and Greenland, which may be due to either uncertain mantle rheology, ice loading history/magnitude and/or GPS errors. |
format |
Dataset |
author |
Schumacher, Maike King, Matt Rougier, Jonathan C Sha, Zhe Khan, Shfaqat Abbas Bamber, Jonathan L |
author_facet |
Schumacher, Maike King, Matt Rougier, Jonathan C Sha, Zhe Khan, Shfaqat Abbas Bamber, Jonathan L |
author_sort |
Schumacher, Maike |
title |
A new global GPS dataset for testing and improving modelled GIA uplift rates |
title_short |
A new global GPS dataset for testing and improving modelled GIA uplift rates |
title_full |
A new global GPS dataset for testing and improving modelled GIA uplift rates |
title_fullStr |
A new global GPS dataset for testing and improving modelled GIA uplift rates |
title_full_unstemmed |
A new global GPS dataset for testing and improving modelled GIA uplift rates |
title_sort |
new global gps dataset for testing and improving modelled gia uplift rates |
publisher |
PANGAEA |
publishDate |
2018 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.889923 https://doi.org/10.1594/PANGAEA.889923 |
op_coverage |
MEDIAN LATITUDE: 32.438997 * MEDIAN LONGITUDE: -22.328946 * SOUTH-BOUND LATITUDE: -87.415704 * WEST-BOUND LONGITUDE: -176.617115 * NORTH-BOUND LATITUDE: 83.643240 * EAST-BOUND LONGITUDE: 179.196562 |
long_lat |
ENVELOPE(-176.617115,179.196562,83.643240,-87.415704) |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
Supplement to: Schumacher, Maike; King, Matt; Rougier, Jonathan C; Sha, Zhe; Khan, Shfaqat Abbas; Bamber, Jonathan L (2018): A new global GPS data set for testing and improving modelled GIA uplift rates. Geophysical Journal International, 214(3), 2164-2176, https://doi.org/10.1093/gji/ggy235 |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.889923 https://doi.org/10.1594/PANGAEA.889923 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.88992310.1093/gji/ggy235 |
_version_ |
1799483114971463680 |