Antarctic Ice Sheet paleo-constraint database

Lecavalier, Benoit S.; Tarasov, Lev; Balco, Greg; Spector, Perry; Hillenbrand, Claus-Dieter ORCID: https://orcid.org/0000-0003-0240-7317; Buizert, Christo; Ritz, Catherine; Leduc-Leballeur, Marion; Mulvaney, Robert ORCID: https://orcid.org/0000-0002-5372-8148; Whitehouse, Pippa L.; Bentley, Michael J.; Bamber, Jonathan. 2023 Antarctic Ice Sheet paleo-constraint database. Earth System Science Data, 15 (8). 3573-3596. 10.5194/essd-15-3573-2023

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Official URL: https://essd.copernicus.org/articles/15/3573/2023/

Abstract/Summary

We present a database of observational constraints on past Antarctic Ice Sheet changes during the last glacial cycle intended to consolidate the observations that represent our understanding of past Antarctic changes and for state-space estimation and paleo-model calibrations. The database is a major expansion of the initial work of Briggs and Tarasov (2013). It includes new data types and multi-tier data quality assessment. The updated constraint database, AntICE2 (https://theghub.org/resources/4884, Lecavalier et al., 2022), consists of observations of past grounded- and floating-ice-sheet extent, past ice thickness, past relative sea level, borehole temperature profiles, and present-day bedrock displacement rates. In addition to paleo-observations, the present-day ice sheet geometry and surface ice velocities are incorporated to constrain the present-day ice sheet configuration. The method by which the data are curated using explicitly defined criteria is detailed. Moreover, the observational uncertainties are specified. The methodology by which the constraint database can be applied to evaluate a given ice sheet reconstruction is discussed. The implementation of the AntICE2 database for Antarctic Ice Sheet model calibrations will improve Antarctic Ice Sheet predictions during past warm and cold periods and yield more robust paleo-model spin ups for forecasting future ice sheet changes.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.5194/essd-15-3573-2023
ISSN:	18663508
Date made live:	24 Aug 2023 11:26 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533710

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.5194/essd-15-3573-2023

ISSN:

18663508

Date made live:

24 Aug 2023 11:26 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/533710