Articles | Volume 13, issue 12
The Cryosphere, 13, 3317–3335, 2019
https://doi.org/10.5194/tc-13-3317-2019
The Cryosphere, 13, 3317–3335, 2019
https://doi.org/10.5194/tc-13-3317-2019

Research article 11 Dec 2019

Research article | 11 Dec 2019

Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach

Julia Eis et al.

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Cited articles

Auer, I., Böhm, R., Jurkovic, A., Lipa, W., Orlik, A., Potzmann, R., Schöner, W., Ungersböck, M., Matulla, C., Briffa, K., Jones, P., Efthymiadis, D., Brunetti, M., Nanni, T., Maugeri, M., Mercalli, L., Mestre, O., Moisselin, J.-M., Begert, M., Müller-Westermeier, G., Kveton, V., Bochnicek, O., Stastny, P., Lapin, M., Szalai, S., Szentimrey, T., Cegnar, T., Dolinar, M., Gajic-Capka, M., Zaninovic, K., Majstorovic, Z., and Nieplova, E.: HISTALP—historical instrumental climatological surface time series of the Greater Alpine Region, Int. J. Climatol., 27, 17–46, https://doi.org/10.1002/joc.1377, 2007. a
Bach, E., Radić, V., and Schoof, C.: How sensitive are mountain glaciers to climate change? Insights from a block model, J. Glaciol., 64, 247–258, https://doi.org/10.1017/jog.2018.15, 2018. a
Bamber, J., Westaway, R. M., Marzeion, B., and Wouters, B.: The land ice contribution to sea level during the satellite era, Environ. Res. Lett., 13, 099502, https://doi.org/10.1088/1748-9326/aac2f0, 2018. a
Church, J., Clark, P., Cazenave, A., Gregory, J., Jevrejeva, S., Levermann, A., Merrifield, M., Milne, G., Nerem, R., Nunn, P., Payne, A., Pfeffer, W., Stammer, D., and Unnikrishnan, A.: Sea Level Change, book section 13, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1137–1216, https://doi.org/10.1017/CBO9781107415324.026, 2013. a
Colton, D. and Kress, R.: Inverse acoustic and electromagnetic scattering theory., vol. 93, Berlin, Springer-Verlag, 1992. a
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To provide estimates of past glacier mass changes, an adequate initial state is required. However, information about past glacier states at regional or global scales is largely incomplete. Our study presents a new way to initialize the Open Global Glacier Model from past climate information and present-day geometries. We show that even with perfectly known but incomplete boundary conditions, the problem of model initialization leads to nonunique solutions, and we propose an ensemble approach.