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Volume 9, issue 11
Geosci. Model Dev., 9, 3907–3918, 2016
https://doi.org/10.5194/gmd-9-3907-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 3907–3918, 2016
https://doi.org/10.5194/gmd-9-3907-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 01 Nov 2016

Development and technical paper | 01 Nov 2016

An approach to computing discrete adjoints for MPI-parallelized models applied to Ice Sheet System Model 4.11

Eric Larour et al.
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AdjoinableMPI: AdjoinableMPI wiki, https://trac.mcs.anl.gov/projects/AdjoinableMPI/wiki, last access: 19 October 2016.
ADOL-C: ADOL-C, http://www.coin-or.org/projects/ADOL-C.xml (last access: 19 October 2016), 2007.
Amestoy, P. R., Duff, I. S., Koster, J., and L'Excellent, J.-Y.: A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling, SIAM J. Matrix Anal. Appl., 23, 15–41, 2001.
Applegate, P. J., Kirchner, N., Stone, E. J., Keller, K., and Greve, R.: An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior, The Cryosphere, 6, 589–606, https://doi.org/10.5194/tc-6-589-2012, 2012.
Arthern, R. J. and Gudmundsson, G. H.: Initialization of ice-sheet forecasts viewed as an inverse Robin problem, J. Glaciol., 56, 527–533, 2010.
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We present an approach to derive the adjoint state of the C++ coded Ice Sheet System Model. The approach enables data assimilation of observations to improve projections of polar ice sheet mass balance and contribution to sea-level rise. It is applicable to other Earth science frameworks relying on C++ and parallel computing, is non-intrusive, and enables computation of transient adjoints for any type of physics, hence providing insights into the sensitivities of any model to its inputs.
We present an approach to derive the adjoint state of the C++ coded Ice Sheet System Model. The...
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