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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 1
Nonlin. Processes Geophys., 24, 9–22, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 24, 9–22, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 16 Jan 2017

Research article | 16 Jan 2017

Estimating the state of a geophysical system with sparse observations: time delay methods to achieve accurate initial states for prediction

Zhe An et al.

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Cited articles

Abarbanel, H. D. I.: Analysis of Observed Chaotic Data, Springer, New York, 1996.
Abarbanel, H. D. I.: Predicting the Future: Completing Models of Observed Complex Systems, Springer-Verlag, New York, 2013.
Abarbanel, H. D. I., Creveling, D. R., Farsian, R., and Kostuk, M.: Dynamical State and Parameter Estimation, SIAM J. Appl. Dyn. Syst., 8, 1341–1381, 2009.
Aeyels, D.: Generic observability of differentiable systems, SIAM J. Control Optim., 19, 595–603, 1981a.
Aeyels, D.: On the number of samples necessary to achieve observability, Syst. Control Lett., 1, 92–94, 1981b.
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