The GRISLI ice sheet model (version 2.0):Calibration and validation for multi-millennial changes of the Antarctic ice sheet

• Published in: Geoscientific Model Development
• Main Authors: Quiquet, Aurélien, Dumas, Christophe, Ritz, Catherine, Peyaud, Vincent, Roche, Didier M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: /dk/atira/pure/sustainabledevelopmentgoals/life_below_water; name=SDG 14 - Life Below Water; Antarc*; Antarctic; Ice Sheet
• Online Access: https://research.vu.nl/en/publications/ae0c7323-8da9-4690-bed3-4ab51faa51c6; https://doi.org/10.5194/gmd-11-5003-2018; https://hdl.handle.net/1871.1/ae0c7323-8da9-4690-bed3-4ab51faa51c6; http://www.scopus.com/inward/record.url?scp=85058348308&partnerID=8YFLogxK; http://www.scopus.com/inward/citedby.url?scp=85058348308&partnerID=8YFLogxK

In this paper, we present the GRISLI (Grenoble ice sheet and land ice) model in its newest revision (version 2.0). Whilst GRISLI is applicable to any given ice sheet, we focus here on the Antarctic ice sheet because it highlights the importance of grounding line dynamics. Important improvements have been implemented in the model since its original version (Ritz et al., 2001). Notably, GRISLI now includes a basal hydrology model and an explicit flux computation at the grounding line based on the analytical formulations of Schoof (2007) or Tsai et al. (2015). We perform a full calibration of the model based on an ensemble of 300 simulations sampling mechanical parameter space using a Latin hypercube method. Performance of individual members is assessed relative to the deviation from present-day observed Antarctic ice thickness. To assess the ability of the model to simulate grounding line migration, we also present glacial-interglacial ice sheet changes throughout the last 400 kyr using the best ensemble members taking advantage of the capacity of the model to perform multi-millennial long-term integrations. To achieve this goal, we construct a simple climatic perturbation of present-day climate forcing fields based on two climate proxies: atmospheric and oceanic. The model is able to reproduce expected grounding line advances during glacial periods and subsequent retreats during terminations with reasonable glacial-interglacial ice volume changes.