Improving model fidelity and sensitivity for complex systems through empirical information theory.

@article{Majda2011ImprovingMF,
  title={Improving model fidelity and sensitivity for complex systems through empirical information theory.},
  author={Andrew J. Majda and Boris Gershgorin},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2011},
  volume={108 25},
  pages={10044-9}
}
In many situations in contemporary science and engineering, the analysis and prediction of crucial phenomena occur often through complex dynamical equations that have significant model errors compared with the true signal in nature. Here, a systematic information theoretic framework is developed to improve model fidelity and sensitivity for complex systems including perturbation formulas and multimodel ensembles that can be utilized to improve both aspects of model error simultaneously. A suite… CONTINUE READING

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Gershgorin B (2010)Mathematical strategies for filtering turbulent dynamical systems

  • AJ Majda, J Harlim
  • Discr Cont Dyn Sys 27:441–486
  • 2010
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Low frequency climate response and fluctuation-dissipation theorems: Theory and practice

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  • 2010
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Climate response of linear and quadratic functionals using the fluctuation-dissipation theorem

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  • J Atmos Sci 65:2824–2841
  • 2008
1 Excerpt

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