Articles | Volume 15, issue 4
https://doi.org/10.5194/tc-15-1975-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-1975-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Apr 2021
Research article |
| 23 Apr 2021
| 23 Apr 2021
The transferability of adjoint inversion products between different ice flow models
Jowan M. Barnes
CORRESPONDING AUTHOR
Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
Thiago Dias dos Santos
Department of Earth System Science, University of California, Irvine, CA, USA
Centro Polar e Climático, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Daniel Goldberg
School of GeoSciences, University of Edinburgh, Edinburgh, UK
G. Hilmar Gudmundsson
Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
Mathieu Morlighem
Department of Earth System Science, University of California, Irvine, CA, USA
Jan De Rydt
Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
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16 citations as recorded by crossref.
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- The predictive power of ice sheet models and the regional sensitivity of ice loss to basal sliding parameterisations: a case study of Pine Island and Thwaites glaciers, West Antarctica J. Barnes & G. Gudmundsson 10.5194/tc-16-4291-2022
- Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets H. Ockenden et al. 10.1017/jog.2023.50
- The West Antarctic Ice Sheet may not be vulnerable to marine ice cliff instability during the 21st century M. Morlighem et al. 10.1126/sciadv.ado7794
- Mapping the Sensitivity of the Amundsen Sea Embayment to Changes in External Forcings Using Automatic Differentiation M. Morlighem et al. 10.1029/2021GL095440
- In the Quest of a Parametric Relation Between Ice Sheet Model Inferred Weertman's Sliding‐Law Parameter and Airborne Radar‐Derived Basal Reflectivity Underneath Thwaites Glacier, Antarctica I. Das et al. 10.1029/2022GL098910
- Drivers of Change of Thwaites Glacier, West Antarctica, Between 1995 and 2015 T. dos Santos et al. 10.1029/2021GL093102
- Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica G. Gudmundsson et al. 10.1029/2023GL102880
- Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland Y. Choi et al. 10.5194/tc-17-5499-2023
- Inverting ice surface elevation and velocity for bed topography and slipperiness beneath Thwaites Glacier H. Ockenden et al. 10.5194/tc-16-3867-2022
- Unavoidable future increase in West Antarctic ice-shelf melting over the twenty-first century K. Naughten et al. 10.1038/s41558-023-01818-x
- Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves C. Gerli et al. 10.5194/tc-18-2677-2024
- Incorporating Horizontal Density Variations Into Large‐Scale Modeling of Ice Masses C. Schelpe & G. Gudmundsson 10.1029/2022JF006744
- Weakening of the pinning point buttressing Thwaites Glacier, West Antarctica C. Wild et al. 10.5194/tc-16-397-2022
- Geometric amplification and suppression of ice-shelf basal melt in West Antarctica J. De Rydt & K. Naughten 10.5194/tc-18-1863-2024
- Assessment of numerical schemes for transient, finite-element ice flow models using ISSM v4.18 T. dos Santos et al. 10.5194/gmd-14-2545-2021
15 citations as recorded by crossref.
- A framework for time-dependent ice sheet uncertainty quantification, applied to three West Antarctic ice streams B. Recinos et al. 10.5194/tc-17-4241-2023
- The predictive power of ice sheet models and the regional sensitivity of ice loss to basal sliding parameterisations: a case study of Pine Island and Thwaites glaciers, West Antarctica J. Barnes & G. Gudmundsson 10.5194/tc-16-4291-2022
- Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets H. Ockenden et al. 10.1017/jog.2023.50
- The West Antarctic Ice Sheet may not be vulnerable to marine ice cliff instability during the 21st century M. Morlighem et al. 10.1126/sciadv.ado7794
- Mapping the Sensitivity of the Amundsen Sea Embayment to Changes in External Forcings Using Automatic Differentiation M. Morlighem et al. 10.1029/2021GL095440
- In the Quest of a Parametric Relation Between Ice Sheet Model Inferred Weertman's Sliding‐Law Parameter and Airborne Radar‐Derived Basal Reflectivity Underneath Thwaites Glacier, Antarctica I. Das et al. 10.1029/2022GL098910
- Drivers of Change of Thwaites Glacier, West Antarctica, Between 1995 and 2015 T. dos Santos et al. 10.1029/2021GL093102
- Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica G. Gudmundsson et al. 10.1029/2023GL102880
- Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland Y. Choi et al. 10.5194/tc-17-5499-2023
- Inverting ice surface elevation and velocity for bed topography and slipperiness beneath Thwaites Glacier H. Ockenden et al. 10.5194/tc-16-3867-2022
- Unavoidable future increase in West Antarctic ice-shelf melting over the twenty-first century K. Naughten et al. 10.1038/s41558-023-01818-x
- Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves C. Gerli et al. 10.5194/tc-18-2677-2024
- Incorporating Horizontal Density Variations Into Large‐Scale Modeling of Ice Masses C. Schelpe & G. Gudmundsson 10.1029/2022JF006744
- Weakening of the pinning point buttressing Thwaites Glacier, West Antarctica C. Wild et al. 10.5194/tc-16-397-2022
- Geometric amplification and suppression of ice-shelf basal melt in West Antarctica J. De Rydt & K. Naughten 10.5194/tc-18-1863-2024
1 citations as recorded by crossref.
Latest update: 17 Nov 2024
Short summary
Some properties of ice flow models must be initialised using observed data before they can be used to produce reliable predictions of the future. Different models have different ways of doing this, and the process is generally seen as being specific to an individual model. We compare the methods used by three different models and show that they produce similar outputs. We also demonstrate that the outputs from one model can be used in other models without introducing large uncertainties.
Some properties of ice flow models must be initialised using observed data before they can be...
