The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 9
Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-3017-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3017-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 9
Research article
 | 
15 Sep 2020
Research article |  | 15 Sep 2020

Bayesian calibration of firn densification models

Vincent Verjans, Amber A. Leeson, Christopher Nemeth, C. Max Stevens, Peter Kuipers Munneke, Brice Noël, and Jan Melchior van Wessem

Supplement

https://doi.org/10.5194/tc-14-3017-2020-supplement

Data sets

Surface mass balance and snow depth on sea ice working group (SUMup) snow density subdataset, Greenland and Antarctica, 1950-2018 L. Koenig and L. Montgomery https://doi.org/10.18739/A26D5PB2S

Continuous density log of icecore BER11C95_25 S. Gerland and F. Wilhelms https://doi.org/10.1594/PANGAEA.227732

Density of firn core DML96C07_39 F. Wilhelms https://doi.org/10.1594/PANGAEA.615238

Sulfate-Based Volcanic Record from South Pole Ice Core J. Cole-Dai https://doi.org/10.7265/N5CR5R88

Rapid ablation zone expansion amplifies north Greenland mass loss: modelled (RACMO2) and observed (MODIS) data sets B. P. Y. Noël https://doi.org/10.1594/PANGAEA.904428

Dominion Range, Newall Glacier - Core and Snowpit Chemistry Data P. A. Mayewski, W. B. Lyons, G. Zielinski, M. Twickler, S. Whitlow, J. Dibb, P. Grootes, K. Taylor, P. Y. Whung, L. Fosberry, C. Wake, and K. Welch https://www.ncdc.noaa.gov/paleo-search/study/2427

The Community Firn Model C. M. Stevens https://doi.org/10.5281/zenodo.3585884

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Short summary
Ice sheets are covered by a firn layer, which is the transition stage between fresh snow and ice. Accurate modelling of firn density properties is important in many glaciological aspects. Current models show disagreements, are mostly calibrated to match specific observations of firn density and lack thorough uncertainty analysis. We use a novel calibration method for firn models based on a Bayesian statistical framework, which results in improved model accuracy and in uncertainty evaluation.
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