Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 4.713
IF4.713
IF 5-year value: 4.927
IF 5-year
4.927
CiteScore value: 8.0
CiteScore
8.0
SNIP value: 1.425
SNIP1.425
IPP value: 4.65
IPP4.65
SJR value: 2.353
SJR2.353
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 53
h5-index53
TC | Articles | Volume 13, issue 10
The Cryosphere, 13, 2657–2672, 2019
https://doi.org/10.5194/tc-13-2657-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 2657–2672, 2019
https://doi.org/10.5194/tc-13-2657-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 11 Oct 2019

Research article | 11 Oct 2019

Impact of frontal ablation on the ice thickness estimation of marine-terminating glaciers in Alaska

Beatriz Recinos et al.

Related authors

The Open Global Glacier Model (OGGM) v1.1
Fabien Maussion, Anton Butenko, Nicolas Champollion, Matthias Dusch, Julia Eis, Kévin Fourteau, Philipp Gregor, Alexander H. Jarosch, Johannes Landmann, Felix Oesterle, Beatriz Recinos, Timo Rothenpieler, Anouk Vlug, Christian T. Wild, and Ben Marzeion
Geosci. Model Dev., 12, 909–931, https://doi.org/10.5194/gmd-12-909-2019,https://doi.org/10.5194/gmd-12-909-2019, 2019
Short summary

Related subject area

Discipline: Glaciers | Subject: Numerical Modelling
The contrasting response of outlet glaciers to interior and ocean forcing
John Erich Christian, Alexander A. Robel, Cristian Proistosescu, Gerard Roe, Michelle Koutnik, and Knut Christianson
The Cryosphere, 14, 2515–2535, https://doi.org/10.5194/tc-14-2515-2020,https://doi.org/10.5194/tc-14-2515-2020, 2020
Short summary
Deep learning applied to glacier evolution modelling
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Clovis Galiez, Thomas Condom, and Eric Sauquet
The Cryosphere, 14, 565–584, https://doi.org/10.5194/tc-14-565-2020,https://doi.org/10.5194/tc-14-565-2020, 2020
Short summary
Brief communication: Time step dependence (and fixes) in Stokes simulations of calving ice shelves
Brandon Berg and Jeremy Bassis
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-315,https://doi.org/10.5194/tc-2019-315, 2020
Revised manuscript accepted for TC
Short summary
Modelling regional glacier length changes over the last millennium using the Open Global Glacier Model
David Parkes and Hugues Goosse
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-275,https://doi.org/10.5194/tc-2019-275, 2019
Revised manuscript accepted for TC
Short summary
Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach
Julia Eis, Fabien Maussion, and Ben Marzeion
The Cryosphere, 13, 3317–3335, https://doi.org/10.5194/tc-13-3317-2019,https://doi.org/10.5194/tc-13-3317-2019, 2019
Short summary

Cited articles

Åström, J. A., Vallot, D., Schäfer, M., Welty, E. Z., O'Neel, S., Bartholomaus, T. C., Liu, Y., Riikilä, T. I., Zwinger, T., Timonen, J., and Moore, J. C.: Termini of calving glaciers as self-organized critical systems, Nat. Geosci., 7, 874–878, https://doi.org/10.1038/ngeo2290, 2014. a, b
Bahr, D. B., Meier, M. F., and Peckham, S. D.: The physical basis of glacier volume-area scaling, J. Geophys. Res., 102, 20355–20362, https://doi.org/10.1029/97JB01696, 1997. a
Benn, D. I., Warren, C. R., and Mottram, R. H.: Calving processes and the dynamics of calving glaciers, Earth-Sci. Rev., 82, 143–179, https://doi.org/10.1016/j.earscirev.2007.02.002, 2007. a
Berthier, E., Schiefer, E., Clarke, G. K. C., Menounos, B., and Rémy, F.: Contribution of Alaskan glaciers to sea-level rise derived from satellite imagery, Nat. Geosci., 3, 92–95, https://doi.org/10.1038/ngeo737, 2010. a
Blaszczyk, M., Jania, J. a., and Hagen, J. O.: Tidewater glaciers of Svalbard: Recent changes and estimates of calving fluxes, vol. 30, 2009. a
Publications Copernicus
Download
Short summary
We have implemented a frontal ablation parameterization into the Open Global Glacier Model and have shown that inversion methods based on mass conservation systematically underestimate the mass turnover (and therefore the thickness) of tidewater glaciers when neglecting frontal ablation. This underestimation can rise up to 19 % on a regional scale. Not accounting for frontal ablation will have an impact on the estimate of the glaciers’ potential contribution to sea level rise.
We have implemented a frontal ablation parameterization into the Open Global Glacier Model and...
Citation