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Calibrated prediction of Pine Island Glacier retreat during the 21st and 22nd centuries with a coupled flowline model

Gladstone, Rupert M.; Lee, Victoria; Rougier, Jonathan; Payne, Antony J.; Hellmer, Hartmut; Le Brocq, Anne; Shepherd, Andrew; Edwards, Tamsin L.; Gregory, Jonathan and Cornford, Stephen L. (2012). Calibrated prediction of Pine Island Glacier retreat during the 21st and 22nd centuries with a coupled flowline model. Earth and Planetary Science Letters, 333-334 pp. 191–199.

DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.epsl.2012.04.022
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Abstract

A flowline ice sheet model is coupled to a box model for cavity circulation and configured for the Pine Island Glacier. An ensemble of 5000 simulations are carried out from 1900 to 2200 with varying inputs and parameters, forced by ocean temperatures predicted by a regional ocean model under the A1B ‘business as usual’ emissions scenario. Comparison is made against recent observations to provide a calibrated prediction in the form of a 95% confidence set. Predictions are for monotonic (apart from some small scale fluctuations in a minority of cases) retreat of the grounding line over the next 200 yr with huge uncertainty in the rate of retreat. Full collapse of the main trunk of the PIG during the 22nd century remains a possibility.

Item Type: Journal Item
Copyright Holders: 2012 Elsevier
ISSN: 0012-821X
Project Funding Details:
Funded Project NameProject IDFunding Body
ice2sea programmeNot SetEuropean Union FP7
Understanding contemporary change in the West Antarctic ice sheetNE/E006256/1NERC
Understanding contemporary change in the West Antarctic ice sheetNE/E006108/1NERC
Not SetNot SetUK’s National Centre for Earth Observation cryosphere and climate themes
Keywords: West Antarctic ice sheet; Pine Island Glacier; calibrated prediction; marine ice sheet instability; ice sheet modelling
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 48983
Depositing User: Tamsin Edwards
Date Deposited: 23 Mar 2017 11:10
Last Modified: 07 Dec 2018 10:49
URI: http://oro.open.ac.uk/id/eprint/48983
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