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

DOI

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.

Identifier
DOI https://doi.org/10.5880/GFZ.1.3.2020.005
Related Identifier https://doi.org/10.1029/2021GC009853
Related Identifier https://doi.org/10.1093/gji/ggu140
Related Identifier https://doi.org/10.5880/GFZ.1.3.2020.004
Related Identifier https://doi.org/10.1016/j.quascirev.2016.03.003
Related Identifier https://doi.org/10.1007/s00024-007-0186-7
Related Identifier https://doi.org/10.1111/j.1365-246X.2005.02553.x
Related Identifier https://doi.org/10.1007/s41063-015-0004-x
Related Identifier https://doi.org/10.1016/j.jog.2008.04.005
Related Identifier https://doi.org/10.1111/j.1365-246X.2005.02758.x
Related Identifier https://doi.org/10.1093/gji/ggy280
Related Identifier https://doi.org/10.1146/annurev.earth.32.082503.144359
Related Identifier https://doi.org/10.1002/2014JB011176
Related Identifier https://doi.org/10.5880/GFZ.1.5.2018.007
Related Identifier https://doi.org/10.1109/TVCG.2012.190
Related Identifier https://doi.org/10.1002/jqs.825
Related Identifier https://doi.org/10.1130/0091-7613(1994)022%3C0023:APRAHP%3E2.3.CO
Related Identifier https://doi.org/10.1111/j.1502-3885.2004.tb00995.x
Related Identifier https://doi.org/10.1111/j.1502-3885.2007.00005.x
Related Identifier http://pid.geoscience.gov.au/dataset/ga/81151
Related Identifier https://doi.org/10.1111/j.0435-3676.2000.00123.x
Related Identifier https://www.osti.gov/etdeweb/biblio/6500139
Related Identifier https://doi.org/10.1017/S0033822200004562
Related Identifier https://doi.org/10.1126/science.210.4468.421
Related Identifier https://doi.org/10.1038/278441a0
Related Identifier https://doi.org/10.1002/(SICI)1099-1417(199912)14:7%3C641::AID-JQS466%3E3.0.CO
Related Identifier https://doi.org/10.1111/j.0435-3676.2000.00128.x
Related Identifier https://doi.org/10.1111/j.0435-3676.2000.00127.x
Related Identifier https://doi.org/10.1016/j.gloplacha.2003.09.004
Related Identifier https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=2261%26item_no=1%26attribute_id=18%26file_no=1
Related Identifier https://doi.org/10.1126/science.1068105
Related Identifier https://doi.org/10.1016/0033-5894(92)90031-D
Related Identifier https://doi.org/10.1191/095968398668600476
Related Identifier https://doi.org/10.1017/S0033822200020919
Related Identifier https://doi.org/10.3133/pp1560_vol1
Related Identifier https://doi.org/10.3133/ofr91441C
Related Identifier https://doi.org/10.1016/0025-3227(84)90088-4
Related Identifier https://doi.org/10.1016/S0277-3791(00)00075-5
Related Identifier https://www.jstor.org/stable/4299242
Related Identifier http://s3.amazonaws.com/Antarctica/AJUS/AJUSvXIn2/AJUSvXIn2p86.pdf
Related Identifier https://www.schweizerbart.de/publications/detail/isbn/9783510960484/Geologisches_Jahrbuch_Reihe_E_Heft
Related Identifier https://earthquake.usgs.gov/cfusion/external_grants/reports/08HQGR0076.pdf
Related Identifier https://nipr.repo.nii.ac.jp/?action=repository_action_common_download%26item_id=616%26item_no=1%26attribute_id=18%26file_no=1
Related Identifier https://doi.org/10.25911/5d74e47990bf7
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7224
Provenance
Creator Bagge, Meike ORCID logo; Klemann, Volker ORCID logo; Steinberger, Bernhard ORCID logo; Latinović, Milena ORCID logo; Thomas, Maik
Publisher GFZ Data Services
Contributor Bagge, Meike
Publication Year 2020
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Bagge, Meike (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Geosciences