Appendices for article: The role of additive and multiplicative noise in filtering complex dynamical systems
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چکیده
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The role of additive and multiplicative noise in filtering complex dynamical systems
Covariance inflation is an ad-hoc treatment that is widely used in practical real-time data assimilation algorithms to mitigate covariance underestimation due to model errors, nonlinearity, or/and, in the context of ensemble filters, insufficient ensemble size. In this paper, we systematically derive an effective “statistical” inflation for filtering multi-scale dynamical systems with moderate ...
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تاریخ انتشار 2013