Assessing uncertainty in the dynamical ice response to ocean warming in the Amundsen Sea Embayment, West Antarctica
Ice mass loss from the Amundsen Sea Embayment ice streams in West Antarctica is a major source of uncertainty in projections of future sea‐level rise. Physically‐based ice‐flow models rely on a number of parameters that represent unobservable quantities and processes, and accounting for uncertainty...
Published in: | Geophysical Research Letters |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | https://hdl.handle.net/1983/3cf1c95d-3dd2-4948-8b04-4f76b0718c4f https://research-information.bris.ac.uk/en/publications/3cf1c95d-3dd2-4948-8b04-4f76b0718c4f https://doi.org/10.1029/2019GL084941 https://research-information.bris.ac.uk/ws/files/219745680/Nias_et_al_2019_Geophysical_Research_Letters.pdf |
Summary: | Ice mass loss from the Amundsen Sea Embayment ice streams in West Antarctica is a major source of uncertainty in projections of future sea‐level rise. Physically‐based ice‐flow models rely on a number of parameters that represent unobservable quantities and processes, and accounting for uncertainty in these parameters can lead to a wide range of dynamic responses. Here we perform a Bayesian calibration of a perturbed‐parameter ensemble, in which we score each ensemble member on its ability to match the magnitude and broad spatial pattern of present‐day observations of ice sheet surface elevation change. We apply an idealized melt‐rate forcing to extend the most likely simulations forward to 2200. We find that diverging grounding‐line response between ensemble members drives an exaggeration in the upper tail of the distribution of sea level rise by 2200, demonstrating that extreme future outcomes cannot be excluded. |
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