Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-2549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
27 Jul 2016
Model description paper |
| 27 Jul 2016
Comparison of adjoint and nudging methods to initialise ice sheet model basal conditions
Cyrille Mosbeux
CORRESPONDING AUTHOR
CNRS, LGGE, 38041 Grenoble, France
Univ. Grenoble Alpes, LGGE, 38401 Grenoble, France
Fabien Gillet-Chaulet
CNRS, LGGE, 38041 Grenoble, France
Univ. Grenoble Alpes, LGGE, 38401 Grenoble, France
Olivier Gagliardini
CNRS, LGGE, 38041 Grenoble, France
Univ. Grenoble Alpes, LGGE, 38401 Grenoble, France
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Cited
18 citations as recorded by crossref.
- Ice‐Dynamical Glacier Evolution Modeling—A Review H. Zekollari et al. 10.1029/2021RG000754
- Parameter sensitivity analysis of dynamic ice sheet models – numerical computations G. Cheng & P. Lötstedt 10.5194/tc-14-673-2020
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Recent Progress in Greenland Ice Sheet Modelling H. Goelzer et al. 10.1007/s40641-017-0073-y
- Bedrock reconstruction from free surface data for unidirectional glacier flow with basal slip E. McGeorge et al. 10.1007/s00707-020-02845-x
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Reconstructing subglacial lake activity with an altimetry-based inverse method A. Stubblefield et al. 10.1017/jog.2023.90
- A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) S. Le clec'h et al. 10.5194/gmd-12-2481-2019
- Seasonal variability in Antarctic ice shelf velocities forced by sea surface height variations C. Mosbeux et al. 10.5194/tc-17-2585-2023
- The impact of glaciers on mountain erosion F. Herman et al. 10.1038/s43017-021-00165-9
- How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment D. Farinotti et al. 10.5194/tc-11-949-2017
- Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting E. Klein et al. 10.1017/jog.2020.61
- Efficiency of artificial neural networks for glacier ice-thickness estimation: a case study in western Himalaya, India M. Haq et al. 10.1017/jog.2021.19
- SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD L. Logan et al. 10.5194/gmd-13-1845-2020
- Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison H. Goelzer et al. 10.5194/tc-12-1433-2018
- Inversion of a Stokes glacier flow model emulated by deep learning G. Jouvet 10.1017/jog.2022.41
- Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach J. Eis et al. 10.5194/tc-13-3317-2019
- Application of a two-step approach for mapping ice thickness to various glacier types on Svalbard J. Fürst et al. 10.5194/tc-11-2003-2017
18 citations as recorded by crossref.
- Ice‐Dynamical Glacier Evolution Modeling—A Review H. Zekollari et al. 10.1029/2021RG000754
- Parameter sensitivity analysis of dynamic ice sheet models – numerical computations G. Cheng & P. Lötstedt 10.5194/tc-14-673-2020
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Recent Progress in Greenland Ice Sheet Modelling H. Goelzer et al. 10.1007/s40641-017-0073-y
- Bedrock reconstruction from free surface data for unidirectional glacier flow with basal slip E. McGeorge et al. 10.1007/s00707-020-02845-x
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Reconstructing subglacial lake activity with an altimetry-based inverse method A. Stubblefield et al. 10.1017/jog.2023.90
- A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3) S. Le clec'h et al. 10.5194/gmd-12-2481-2019
- Seasonal variability in Antarctic ice shelf velocities forced by sea surface height variations C. Mosbeux et al. 10.5194/tc-17-2585-2023
- The impact of glaciers on mountain erosion F. Herman et al. 10.1038/s43017-021-00165-9
- How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment D. Farinotti et al. 10.5194/tc-11-949-2017
- Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting E. Klein et al. 10.1017/jog.2020.61
- Efficiency of artificial neural networks for glacier ice-thickness estimation: a case study in western Himalaya, India M. Haq et al. 10.1017/jog.2021.19
- SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD L. Logan et al. 10.5194/gmd-13-1845-2020
- Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison H. Goelzer et al. 10.5194/tc-12-1433-2018
- Inversion of a Stokes glacier flow model emulated by deep learning G. Jouvet 10.1017/jog.2022.41
- Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach J. Eis et al. 10.5194/tc-13-3317-2019
- Application of a two-step approach for mapping ice thickness to various glacier types on Svalbard J. Fürst et al. 10.5194/tc-11-2003-2017
Latest update: 21 Nov 2024
Short summary
Model projections of ice sheet contribution to 21st century sea level rise are greatly affected by initial conditions. Solutions have been developed to infer the friction of the ice on its bedrock using observed surface velocities. A drawback of these methods is that remaining uncertainties, especially in the bedrock elevation, lead to non-physical ice flux divergence anomalies. Here, we compare two different solutions able to infer both bedrock friction and elevation with good performance.
Model projections of ice sheet contribution to 21st century sea level rise are greatly affected...
