Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 5
Articles | Volume 9, issue 5
https://doi.org/10.5194/gmd-9-1891-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1891-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 5
Model description paper
 | 
20 May 2016
Model description paper |  | 20 May 2016

An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem

Daniel N. Goldberg, Sri Hari Krishna Narayanan, Laurent Hascoet, and Jean Utke

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Short summary
Geophysical adjoint models are powerful tools, allowing sensitivity studies that are not possible otherwise, and enabling optimized fit of models to observing data sets. The complexity involved requires the use of algorithmic differentiation (AD) software, but AD adjoint calculation for ice models can be slow, with prohibitive memory requirements. In this paper, we present a method to improve the performance of ice model adjoint generation, in terms of timing, memory load, and accuracy.
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