Inferring time-dependent calving dynamics at Helheim Glacier

We perform Bayesian inference of the parameters of a time-dependent model of ice flow and calving at Helheim Glacier, East Greenland. We find that, while a time-independent calving parameterization can recover the mean observed terminus position, such a model is unable to recover sub-annual variabil...

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Bibliographic Details
Published in:Journal of Glaciology
Main Authors: Jacob Downs, Douglas Brinkerhoff, Mathieu Morlighem
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2023
Subjects:
Online Access:https://doi.org/10.1017/jog.2022.68
https://doaj.org/article/c86fcc0625a7467793c64389e9167ea4
Description
Summary:We perform Bayesian inference of the parameters of a time-dependent model of ice flow and calving at Helheim Glacier, East Greenland. We find that, while a time-independent calving parameterization can recover the mean observed terminus position, such a model is unable to recover sub-annual variability, even when forced with seasonally varying climate. To address this, we develop a simple stochastic model relating surface runoff rates and calving threshold. Again inferring model parameters from observations, we find that this parameterization is able to reproduce observations with respect to both mean position and characteristic temporal variability. This result demonstrates the importance of considering potential sub-annual controls on calving rates in numerical models, which may include variable undercutting rates or surface runoff-dependent surface crevasse propagation.