Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4241-2023
https://doi.org/10.5194/tc-17-4241-2023
Research article
 | 
06 Oct 2023
Research article |  | 06 Oct 2023

A framework for time-dependent ice sheet uncertainty quantification, applied to three West Antarctic ice streams

Beatriz Recinos, Daniel Goldberg, James R. Maddison, and Joe Todd

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Latest update: 29 Feb 2024
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Short summary
Ice sheet models generate forecasts of ice sheet mass loss, a significant contributor to sea level rise; thus, capturing the complete range of possible projections of mass loss is of critical societal importance. Here we add to data assimilation techniques commonly used in ice sheet modelling (a Bayesian inference approach) and fully characterize calibration uncertainty. We successfully propagate this type of error onto sea level rise projections of three ice streams in West Antarctica.