Articles | Volume 13, issue 2
The Cryosphere, 13, 469–489, 2019
The Cryosphere, 13, 469–489, 2019

Research article 08 Feb 2019

Research article | 08 Feb 2019

Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models

Tobias Zolles et al.

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Cited articles

Anslow, F. S., Hostetler, S., Bidlake, W. R., and Clark, P. U.: Distributed energy balance modeling of South Cascade Glacier, Washington and assessment of model uncertainty, J. Geophys. Res.-Earth, 113, 1–18,, 2008. a
Beven, K.: Changing ideas in hydrology - The case of physically-based models, J. Hydrol., 105, 157–172,, 1989. a
Beven, K. and Binley, A.: The Future of Distributed Models: Model Calibration and Uncertainity Prediction, Hydrol. Process., 6, 279–298,, 1992. a
Bintanja, R. and Van Den Broeke, M.: The surface energy balance of antartic snow and blue ice, J. Appl. Meteorol., 34, 902–926,<0902:TSEBOA>2.0.CO;2, 1995. a, b
Braithwaite, R. J.: Aerodynatnic stability and turbulent sensible-heat flux over a melting ice surface, the Greenland ice sheet, J. Glaciol., 41, 562–571,, 1995. a
Short summary
A mass and energy balance model was subjected to sensitivity and uncertainty analysis on two different Alpine glaciers. The global sensitivity analysis allowed for a mass balance measurement independent assessment of the model sensitivity and functioned as a reduction of the model free parameter space. A novel approach of a multi-objective optimization estimates the uncertainty of the simulated mass balance and the energy fluxes. The final model uncertainty is up to 1300 kg m−3 per year.