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The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

The Open Global Glacier Model (OGGM) v1.1

Open access
Maussion, Fabien, Butenko, Anton, Champollion, Nicolas, Dusch, Matthias, Eis, Julia, Fourteau, Kévin, Gregor, Philipp, Jarosch, Alexander H., Landmann, Johannes, Oesterle, Felix, Recinos, Beatriz, Rothenpieler, Timo, Vlug, Anouk, Wild, Christian T., Marzeion, Ben·2019·Geoscientific Model Development

Published version of a preprint

Abstract

Abstract. Despite their importance for sea-level rise, seasonal water availability, and as a source of geohazards, mountain glaciers are one of the few remaining subsystems of the global climate system for which no globally applicable, open source, community-driven model exists. Here we present the Open Global Glacier Model (OGGM), developed to provide a modular and open-source numerical model framework for simulating past and future change of any glacier in the world. The modeling chain comprises data downloading tools (glacier outlines, topography, climate, validation data), a preprocessing module, a mass-balance model, a distributed ice thickness estimation model, and an ice-flow model. The monthly mass balance is obtained from gridded climate data and a temperature index melt model. To our knowledge, OGGM is the first global model to explicitly simulate glacier dynamics: the model relies on the shallow-ice approximation to compute the depth-integrated flux of ice along multiple connected flow lines. In this paper, we describe and illustrate each processing step by applying the model to a selection of glaciers before running global simulations under idealized climate forcings. Even without an in-depth calibration, the model shows very realistic behavior. We are able to reproduce earlier estimates of global glacier volume by varying the ice dynamical parameters within a range of plausible values. At the same time, the increased complexity of OGGM compared to other prevalent global glacier models comes at a reasonable computational cost: several dozen glaciers can be simulated on a personal computer, whereas global simulations realized in a supercomputing environment take up to a few hours per century. Thanks to the modular framework, modules of various complexity can be added to the code base, which allows for new kinds of model intercomparison studies in a controlled environment. Future developments will add new physical processes to the model as well as automated calibration tools. Extensions or alternative parameterizations can be easily added by the community thanks to comprehensive documentation. OGGM spans a wide range of applications, from ice–climate interaction studies at millennial timescales to estimates of the contribution of glaciers to past and future sea-level change. It has the potential to become a self-sustained community-driven model for global and regional glacier evolution.

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Citations

Cites

Show all 51 references

Research works printed but not linked: 15

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  2. Adhikari, S. and Marshall, S. J.: Parameterization of lateral drag in flowline models of glacier dynamics, J. Glaciol., 58, 1119–1132, 10.3189/2012JoG12J018, 2012b. · doi:10.3189/2012jog12j018
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  5. Harrison, W. D.: How do glaciers respond to climate? Perspectives from the simplest models, J. Glaciol., 59, 949–960, 10.3189/2013JoG13J048, 2013. · doi:10.3189/2013jog13j048
  6. Hutter, K.: The effect of longitudinal strain on the shear stress of an ice sheet: in defence of using streched coordinates, J. Glaciol., 27, 39–56, 1981. · doi:10.3189/s0022143000011217
  7. Hutter, K.: Theoretical glaciology: material science of ice and the mechanics of glaciers and ice sheets, in: Mathematical Approaches to Geophysics, Springer Netherlands, 510 pp., 1983.
  8. Jarosch, A. H., Schoof, C. G., and Anslow, F. S.: Restoring mass conservation to shallow ice flow models over complex terrain, The Cryosphere, 7, 229–240, 10.5194/tc-7-229-2013, 2013. · doi:10.5194/tc-7-229-2013
  9. Kienholz, C., Hock, R., and Arendt, A. A.: A new semi-automatic approach for dividing glacier complexes into individual glaciers, J. Glaciol., 59, 925–937, 10.3189/2013JoG12J138, 2013. · doi:10.3189/2013jog12j138
  10. Kienholz, C., Rich, J. L., Arendt, A. A., and Hock, R.: A new method for deriving glacier centerlines applied to glaciers in Alaska and northwest Canada, The Cryosphere, 8, 503–519, 10.5194/tc-8-503-2014, 2014. · doi:10.5194/tc-8-503-2014
  11. Liu, H., Jezek, K. C., Li, B., and Zhao, Z.: Radarsat Antarctic Mapping Project Digital Elevation Model, Version 2, Boulder, Colorado USA, NASA National Snow and Ice Data Center Distributed Active Archive Center, 10.5067/8JKNEW6BFRVD, 2015. · doi:10.5067/8jknew6bfrvd
  12. Marzeion, B., Hofer, M., Jarosch, A. H., Kaser, G., and Mölg, T.: A minimal model for reconstructing interannual mass balance variability of glaciers in the European Alps, The Cryosphere, 6, 71–84, 10.5194/tc-6-71-2012, 2012a. · doi:10.5194/tc-6-71-2012
  13. Marzeion, B., Leclercq, P. W., Cogley, J. G., and Jarosch, A. H.: Brief Communication: Global reconstructions of glacier mass change during the 20th century are consistent, The Cryosphere, 9, 2399–2404, 10.5194/tc-9-2399-2015, 2015. · doi:10.5194/tc-9-2399-2015
  14. Roe, G. H.: What do glaciers tell us about climate variability and climate change?, J. Glaciol., 57, 567–578, 10.3189/002214311796905640, 2011. · doi:10.3189/002214311796905640
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Metadata

Authors
Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., Gregor, P., Jarosch, A. H., Landmann, J., Oesterle, F., Recinos, B., Rothenpieler, T., Vlug, A., Wild, C. T., & Marzeion, B.
Venue
Geoscientific Model Development
Published
2019-03-08
Volume
12
Issue
3
Pages
909-931
ISSN
  • 1991-959X (ISSN-L)
  • 1991-9603
OpenAlex
W2919190051
Cited by
316
References
51
FWCI
12.32
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Open Global Glacier Model (OGGM) v1.1. https://app.cochat.ai/papers/10.5194/gmd-12-909-2019
The paper
Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., Gregor, P., Jarosch, A. H., Landmann, J., Oesterle, F., Recinos, B., Rothenpieler, T., Vlug, A., Wild, C. T., & Marzeion, B. (2019). The Open Global Glacier Model (OGGM) v1.1. Geoscientific Model Development. https://doi.org/10.5194/gmd-12-909-2019

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