Filter divergence and EnKF

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• Kelly, D (University of North Carolina)
• Tuesday 18 March 2014, 09:45-10:35
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact Mustapha Amrani.

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The Ensemble Kalman Filter (EnKF) is a widely used tool for assimilating data with high dimensional nonlinear models. Nevertheless, our theoretical understanding of the filter is largely supported by observational evidence rather than rigorous statements.

In this talk we attempt to make rigorous statements regarding “filter divergence”, where the filter loses track of the underlying signal. To be specific, we focus on the more exotic phenomenon known as “catastrophic filter divergence”, where the filter reaches machine infinity in finite time.

This talk is part of the Isaac Newton Institute Seminar Series series.

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