Predicted relative sea-level and sea-level data for validation

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...

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Main Authors: Bagge, M., Klemann, V., Steinberger, B., Latinovic, M., Thomas, M.
Format: Report
Language:English
Published: GFZ Data Services 2021
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008759
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spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5008759 2023-05-15T14:02:24+02:00 Predicted relative sea-level and sea-level data for validation Bagge, M. Klemann, V. Steinberger, B. Latinovic, M. Thomas, M. 2021 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008759 eng eng GFZ Data Services info:eu-repo/semantics/altIdentifier/doi/10.5880/GFZ.1.3.2020.005 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008759 info:eu-repo/semantics/workingPaper 2021 ftgfzpotsdam https://doi.org/10.5880/GFZ.1.3.2020.005 2022-09-14T05:57:56Z 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. Report Antarc* Antarctica Ross Sea Pioneer Bay GFZpublic (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
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description 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.
format Report
author Bagge, M.
Klemann, V.
Steinberger, B.
Latinovic, M.
Thomas, M.
spellingShingle Bagge, M.
Klemann, V.
Steinberger, B.
Latinovic, M.
Thomas, M.
Predicted relative sea-level and sea-level data for validation
author_facet Bagge, M.
Klemann, V.
Steinberger, B.
Latinovic, M.
Thomas, M.
author_sort Bagge, M.
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 2021
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008759
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 info:eu-repo/semantics/altIdentifier/doi/10.5880/GFZ.1.3.2020.005
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008759
op_doi https://doi.org/10.5880/GFZ.1.3.2020.005
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