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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 4
Ocean Sci., 9, 609–630, 2013
https://doi.org/10.5194/os-9-609-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 9, 609–630, 2013
https://doi.org/10.5194/os-9-609-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jul 2013

Research article | 09 Jul 2013

A comparison between gradient descent and stochastic approaches for parameter optimization of a sea ice model

H. Sumata et al.
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Cited articles  
Athias, V., Mazzega, P., and Jeandel, C.: Selecting a global optimization method to estimate the oceanic particle cycling rate constants, J. Mar. Res., 58, 675–707, 2000.
Bocquet, M.: Parameter-field estimation for atmospheric dispersion: application to the Chernobyl accident using 4D-Var, Q. J. Roy. Meteorol. Soc., 138, 664–681, 2012.
Carroll, D. L.: Chemical Laser Modeling with Genetic Algorithms, AIAA J., 34, 338–346, 1996.
Cetin, B. C., Barhen, J., and Burdick, J. W.: Terminal Repeller Unconstrained Subenergy Tunneling (TRUST) for Fast Global Optimization, J. Optimiz. Theory App., 77, 97–126, 1993.
Chapman, W. L., Welch, W. J., Bowman, K. P., Sacks, J., and Walsh, J. E.:Arctic sea ice variability: Model sensitivities and a multidecadal simulation, J. Geophys. Res., 99, 919–935, 1994.
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