Articles | Volume 15, issue 4
The Cryosphere, 15, 1975–2000, 2021
https://doi.org/10.5194/tc-15-1975-2021
The Cryosphere, 15, 1975–2000, 2021
https://doi.org/10.5194/tc-15-1975-2021

Research article 23 Apr 2021

Research article | 23 Apr 2021

The transferability of adjoint inversion products between different ice flow models

Jowan M. Barnes et al.

Data sets

Model data for "The transferability of adjoint inversion products between different ice flow models" J. M. Barnes, T. Dias dos Santos,D. Goldberg, G. H. Gudmundsson, M. Morlighem, and J. De Rydt https://doi.org/10.5281/zenodo.4701343

MEaSUREs BedMachine Antarctica M. Morlighem https://doi.org/10.5067/C2GFER6PTOS4

Model code and software

GHilmarG/UaSource: Ua2019b (Version v2019b) G. H. Gudmundsson https://doi.org/10.5281/zenodo.3706623

Continental scale, high order, high spatial resolution, ice sheet modeling using the Ice Sheet System Model (ISSM) E. Larour, H. Seroussi, M. Morlighem, and E. Rignot https://issm.jpl.nasa.gov/download

Hydrostatic, quasi-hydrostatic, and nonhydrostatic ocean modeling J. Marshall, C. Hill, L. Perelman, and A. Adcroft http://mitgcm.org/source-code

OPTI: Lowering the Barrier Between Open Source Optimizers and the Industrial MATLAB User J. Currie and D. I. Wilson https://www.inverseproblem.co.nz/OPTI/

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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.