Predicted relative sea-level and sea-level data for validation
Abstract We provide the model results of the manuscript "Glacial-isostatic adjustment models using geodynamically constrained 3D Earth structures" (Bagge et al. 2020, Paper) including the (1) predicted relative sea-level and (2) applied sea-level data. The predicted relative-sea level is c...
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GFZ Data Services
2020
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Online Access: | https://doi.org/10.5880/GFZ.1.3.2020.005 |
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ftgfzpotsdamdata:oai:doidb.wdc-terra.org:7224 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdamdata |
language |
unknown |
topic |
laterally varying Earth structure glacial-isostatic adjustment relative sea-level VIscoelastic Lithosphere and MAntle model VILMA EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS EARTH SCIENCE SERVICES > MODELS > GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS |
spellingShingle |
laterally varying Earth structure glacial-isostatic adjustment relative sea-level VIscoelastic Lithosphere and MAntle model VILMA EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS EARTH SCIENCE SERVICES > MODELS > GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS Bagge, Meike Klemann, Volker Steinberger, Bernhard Latinović, Milena Thomas, Maik Predicted relative sea-level and sea-level data for validation |
topic_facet |
laterally varying Earth structure glacial-isostatic adjustment relative sea-level VIscoelastic Lithosphere and MAntle model VILMA EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS EARTH SCIENCE SERVICES > MODELS > GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS |
description |
Abstract We provide the model results of the manuscript "Glacial-isostatic adjustment models using geodynamically constrained 3D Earth structures" (Bagge et al. 2020, Paper) including the (1) predicted relative sea-level and (2) applied sea-level data. The predicted relative-sea level is calculated with the VIscoelastic Lithosphere and MAntle model VILMA (Klemann et al. 2008, 2015, Martinec et al. 2018, Hagedoorn et al. 2007, Martinec & Hagedoorn 2005, Kendall et al. 2005). The glacial-isostatic adjustment models uses different Earth structures (3D, 1D global mean and 1D regionally adapted; Bagge et al. 2020, Paper; Bagge et al. 2020, https://doi.org/10.5880/GFZ.1.3.2020.004) and ice histories (ICE-5G, Peltier 2004; ICE-6G, Peltier et al. 2015, Argus et al. 2014; NAICE, Gowan et al. 2016) resulting in 44 3D models, 54 1D global mean models and 162 1D regionally adapted models. For more information on model description and input data see Bagge et al. (2020, Paper) and Bagge at al. (2020, https://doi.org/10.5880/GFZ.1.3.2020.004). The provided output data include (1a) the global distribution of predicted relative-sea level at 14 kilo years before present as ensemble range of the 3D GIA models for three ice histories as netCDF files, (1b) the predicted relative-sea level at eight locations at 14 kilo years before present for all models as ASCII file and (1c) the predicted relative sea-level for the deglaciation period for all models as ASCII files. Eight locations include Churchill, Angermanland, Ross Sea (Antarctica), San Jorge Gulf (Patagonia), Central Oregon Coast, Rao-Gandon Area (Senegal), Singapore and Pioneer Bay (Queensland, Australia). (2) The about 520 applied sea-level data provide information on time, relative sea-level and type of sea-level data. They are extracted for the eight locations from the GFZ database using SLIVisu (Unger et al. 2012, 2018) and provided as ACSII files. |
author2 |
Bagge, Meike |
format |
Dataset |
author |
Bagge, Meike Klemann, Volker Steinberger, Bernhard Latinović, Milena Thomas, Maik |
author_facet |
Bagge, Meike Klemann, Volker Steinberger, Bernhard Latinović, Milena Thomas, Maik |
author_sort |
Bagge, Meike |
title |
Predicted relative sea-level and sea-level data for validation |
title_short |
Predicted relative sea-level and sea-level data for validation |
title_full |
Predicted relative sea-level and sea-level data for validation |
title_fullStr |
Predicted relative sea-level and sea-level data for validation |
title_full_unstemmed |
Predicted relative sea-level and sea-level data for validation |
title_sort |
predicted relative sea-level and sea-level data for validation |
publisher |
GFZ Data Services |
publishDate |
2020 |
url |
https://doi.org/10.5880/GFZ.1.3.2020.005 |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) ENVELOPE(-63.495,-63.495,-64.854,-64.854) |
geographic |
Kendall Patagonia Peltier Queensland Ross Sea |
geographic_facet |
Kendall Patagonia Peltier Queensland Ross Sea |
genre |
Antarc* Antarctica Ross Sea Pioneer Bay |
genre_facet |
Antarc* Antarctica Ross Sea Pioneer Bay |
op_relation |
doi:10.1029/2021GC009853 doi:10.1093/gji/ggu140 doi:10.5880/GFZ.1.3.2020.004 doi:10.1016/j.quascirev.2016.03.003 doi:10.1007/s00024-007-0186-7 doi:10.1111/j.1365-246X.2005.02553.x doi:10.1007/s41063-015-0004-x doi:10.1016/j.jog.2008.04.005 doi:10.1111/j.1365-246X.2005.02758.x doi:10.1093/gji/ggy280 doi:10.1146/annurev.earth.32.082503.144359 doi:10.1002/2014JB011176 doi:10.5880/GFZ.1.5.2018.007 doi:10.1109/TVCG.2012.190 doi:10.1002/jqs.825 doi:10.1130/0091-7613(1994)022%3C0023:APRAHP%3E2.3.CO;2 doi:10.1111/j.1502-3885.2004.tb00995.x doi:10.1111/j.1502-3885.2007.00005.x url:http://pid.geoscience.gov.au/dataset/ga/81151 doi:10.1111/j.0435-3676.2000.00123.x url:https://www.osti.gov/etdeweb/biblio/6500139 doi:10.1017/S0033822200004562 doi:10.1126/science.210.4468.421 doi:10.1038/278441a0 doi:10.1002/(SICI)1099-1417(199912)14:7%3C641::AID-JQS466%3E3.0.CO;2-B doi:10.1111/j.0435-3676.2000.00128.x doi:10.1111/j.0435-3676.2000.00127.x doi:10.1016/j.gloplacha.2003.09.004 url:https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=2261%26item_no=1%26attribute_id=18%26file_no=1 doi:10.1126/science.1068105 doi:10.1016/0033-5894(92)90031-D doi:10.1191/095968398668600476 doi:10.1017/S0033822200020919 doi:10.3133/pp1560_vol1 doi:10.3133/ofr91441C doi:10.1016/0025-3227(84)90088-4 doi:10.1016/S0277-3791(00)00075-5 url:https://www.jstor.org/stable/4299242 url:http://s3.amazonaws.com/Antarctica/AJUS/AJUSvXIn2/AJUSvXIn2p86.pdf url:https://www.schweizerbart.de/publications/detail/isbn/9783510960484/Geologisches_Jahrbuch_Reihe_E_Heft url:https://earthquake.usgs.gov/cfusion/external_grants/reports/08HQGR0076.pdf url:https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=616%26item_no=1%26attribute_id=18%26file_no=1 doi:10.25911/5d74e47990bf7 http://dx.doi.org/10.5880/GFZ.1.3.2020.005 doi:10.5880/GFZ.1.3.2020.005 |
op_rights |
CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.5880/GFZ.1.3.2020.00510.1029/2021GC00985310.1093/gji/ggu14010.5880/GFZ.1.3.2020.00410.1016/j.quascirev.2016.03.00310.1007/s00024-007-0186-710.1111/j.1365-246X.2005.02553.x10.1007/s41063-015-0004-x10.1016/j.jog.2008.04.00510.1111/j.1365- |
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1787425608092876800 |
spelling |
ftgfzpotsdamdata:oai:doidb.wdc-terra.org:7224 2024-01-07T09:38:45+01:00 Predicted relative sea-level and sea-level data for validation Bagge, Meike Klemann, Volker Steinberger, Bernhard Latinović, Milena Thomas, Maik Bagge, Meike 2020 https://doi.org/10.5880/GFZ.1.3.2020.005 unknown GFZ Data Services doi:10.1029/2021GC009853 doi:10.1093/gji/ggu140 doi:10.5880/GFZ.1.3.2020.004 doi:10.1016/j.quascirev.2016.03.003 doi:10.1007/s00024-007-0186-7 doi:10.1111/j.1365-246X.2005.02553.x doi:10.1007/s41063-015-0004-x doi:10.1016/j.jog.2008.04.005 doi:10.1111/j.1365-246X.2005.02758.x doi:10.1093/gji/ggy280 doi:10.1146/annurev.earth.32.082503.144359 doi:10.1002/2014JB011176 doi:10.5880/GFZ.1.5.2018.007 doi:10.1109/TVCG.2012.190 doi:10.1002/jqs.825 doi:10.1130/0091-7613(1994)022%3C0023:APRAHP%3E2.3.CO;2 doi:10.1111/j.1502-3885.2004.tb00995.x doi:10.1111/j.1502-3885.2007.00005.x url:http://pid.geoscience.gov.au/dataset/ga/81151 doi:10.1111/j.0435-3676.2000.00123.x url:https://www.osti.gov/etdeweb/biblio/6500139 doi:10.1017/S0033822200004562 doi:10.1126/science.210.4468.421 doi:10.1038/278441a0 doi:10.1002/(SICI)1099-1417(199912)14:7%3C641::AID-JQS466%3E3.0.CO;2-B doi:10.1111/j.0435-3676.2000.00128.x doi:10.1111/j.0435-3676.2000.00127.x doi:10.1016/j.gloplacha.2003.09.004 url:https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=2261%26item_no=1%26attribute_id=18%26file_no=1 doi:10.1126/science.1068105 doi:10.1016/0033-5894(92)90031-D doi:10.1191/095968398668600476 doi:10.1017/S0033822200020919 doi:10.3133/pp1560_vol1 doi:10.3133/ofr91441C doi:10.1016/0025-3227(84)90088-4 doi:10.1016/S0277-3791(00)00075-5 url:https://www.jstor.org/stable/4299242 url:http://s3.amazonaws.com/Antarctica/AJUS/AJUSvXIn2/AJUSvXIn2p86.pdf url:https://www.schweizerbart.de/publications/detail/isbn/9783510960484/Geologisches_Jahrbuch_Reihe_E_Heft url:https://earthquake.usgs.gov/cfusion/external_grants/reports/08HQGR0076.pdf url:https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=616%26item_no=1%26attribute_id=18%26file_no=1 doi:10.25911/5d74e47990bf7 http://dx.doi.org/10.5880/GFZ.1.3.2020.005 doi:10.5880/GFZ.1.3.2020.005 CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ laterally varying Earth structure glacial-isostatic adjustment relative sea-level VIscoelastic Lithosphere and MAntle model VILMA EARTH SCIENCE SERVICES > MODELS > CRYOSPHERE MODELS EARTH SCIENCE SERVICES > MODELS > GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS Dataset 2020 ftgfzpotsdamdata https://doi.org/10.5880/GFZ.1.3.2020.00510.1029/2021GC00985310.1093/gji/ggu14010.5880/GFZ.1.3.2020.00410.1016/j.quascirev.2016.03.00310.1007/s00024-007-0186-710.1111/j.1365-246X.2005.02553.x10.1007/s41063-015-0004-x10.1016/j.jog.2008.04.00510.1111/j.1365- 2023-12-11T00:44:49Z Abstract We provide the model results of the manuscript "Glacial-isostatic adjustment models using geodynamically constrained 3D Earth structures" (Bagge et al. 2020, Paper) including the (1) predicted relative sea-level and (2) applied sea-level data. The predicted relative-sea level is calculated with the VIscoelastic Lithosphere and MAntle model VILMA (Klemann et al. 2008, 2015, Martinec et al. 2018, Hagedoorn et al. 2007, Martinec & Hagedoorn 2005, Kendall et al. 2005). The glacial-isostatic adjustment models uses different Earth structures (3D, 1D global mean and 1D regionally adapted; Bagge et al. 2020, Paper; Bagge et al. 2020, https://doi.org/10.5880/GFZ.1.3.2020.004) and ice histories (ICE-5G, Peltier 2004; ICE-6G, Peltier et al. 2015, Argus et al. 2014; NAICE, Gowan et al. 2016) resulting in 44 3D models, 54 1D global mean models and 162 1D regionally adapted models. For more information on model description and input data see Bagge et al. (2020, Paper) and Bagge at al. (2020, https://doi.org/10.5880/GFZ.1.3.2020.004). The provided output data include (1a) the global distribution of predicted relative-sea level at 14 kilo years before present as ensemble range of the 3D GIA models for three ice histories as netCDF files, (1b) the predicted relative-sea level at eight locations at 14 kilo years before present for all models as ASCII file and (1c) the predicted relative sea-level for the deglaciation period for all models as ASCII files. Eight locations include Churchill, Angermanland, Ross Sea (Antarctica), San Jorge Gulf (Patagonia), Central Oregon Coast, Rao-Gandon Area (Senegal), Singapore and Pioneer Bay (Queensland, Australia). (2) The about 520 applied sea-level data provide information on time, relative sea-level and type of sea-level data. They are extracted for the eight locations from the GFZ database using SLIVisu (Unger et al. 2012, 2018) and provided as ACSII files. Dataset Antarc* Antarctica Ross Sea Pioneer Bay GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Patagonia Peltier ENVELOPE(-63.495,-63.495,-64.854,-64.854) Queensland Ross Sea |