Articles | Volume 13, issue 6
Geosci. Model Dev., 13, 2805–2823, 2020
Geosci. Model Dev., 13, 2805–2823, 2020
Model description paper
24 Jun 2020
Model description paper | 24 Jun 2020

Description and validation of the ice-sheet model Yelmo (version 1.0)

Alexander Robinson et al.

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Cited articles

Albrecht, T., Martin, M., Haseloff, M., Winkelmann, R., and Levermann, A.: Parameterization for subgrid-scale motion of ice-shelf calving fronts, The Cryosphere, 5, 35–44,, 2011. a
Albrecht, T., Winkelmann, R., and Levermann, A.: Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis, The Cryosphere, 14, 633–656,, 2020. a
Arakawa, A. and Lamb, V. R.: Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model, in: General Circulation Models of the Atmosphere, edited by: Chang, J., Vol. 17 of Methods in Computational Physics: Advances in Research and Applications, 173–265, Elsevier,, 1977. a
Aschwanden, A., Aðalgeirsdéttir, G., and Khroulev, C.: Hindcasting to measure ice sheet model sensitivity to initial states, The Cryosphere, 7, 1083–1093,, 2013. a, b, c
Brondex, J., Gillet-Chaulet, F., and Gagliardini, O.: Sensitivity of centennial mass loss projections of the Amundsen basin to the friction law, The Cryosphere, 13, 177–195,, 2019. a, b
Short summary
Here we describe Yelmo v1.0, an intuitive and state-of-the-art hybrid ice sheet model. The model design and physics are described, and benchmark simulations are provided to validate its performance. Yelmo is a versatile ice sheet model that can be applied to a wide variety of problems.