Articolo in rivista, 2023, ENG, 10.5194/essd-15-3573-2023
Lecavalier, Benoit S.; Tarasov, Lev; Balco, Greg; Spector, Perry; Hillenbrand, Claus-Dieter; Buizert, Christo; Ritz, Catherine; Leduc-Leballeur, Marion; Mulvaney, Robert; Whitehouse, Pippa L.; Bentley, Michael J.; Bamber, Jonathan
Mem Univ; Berkeley Geochronol Ctr; British Antarctic Survey; Oregon State Univ; Univ Grenoble Alpes; CNR; Univ Durham; Univ Bristol; Tech Univ Munich
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.
Earth system science data (Print) 15 (8), pp. 3573–3596
Leduc Leballeur Marion Cecile Huguette
ID: 486313
Year: 2023
Type: Articolo in rivista
Creation: 2023-09-13 15:38:18.000
Last update: 2023-10-23 23:20:50.000
CNR authors
CNR institutes
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:486313
DOI: 10.5194/essd-15-3573-2023
ISI Web of Science (WOS): 001045788300001