Strategies for Model Reduction: Comparing Different Optimal Bases

@inproceedings{Crommelin2004StrategiesFM,
  title={Strategies for Model Reduction: Comparing Different Optimal Bases},
  author={Daan Crommelin and Andrew J. Majda},
  year={2004}
}
Abstract Several different ways of constructing optimal bases for efficient dynamical modeling are compared: empirical orthogonal functions (EOFs), optimal persistence patterns (OPPs), and principal interaction patterns (PIPs). Past studies on fluid-dynamical topics have pointed out that EOF-based models can have difficulties reproducing behavior dominated by irregular transitions between different dynamical states. This issue is addressed in a geophysical context, by assessing the ability of… CONTINUE READING

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