Identifying the onset and decay of quasi-stationary families of almost-invariant sets with an application to atmospheric blocking events
Aleksandar Badza, Gary Froyland

TL;DR
This paper presents a novel method to identify and analyze time-dependent families of almost-invariant sets in dynamical systems, with applications to atmospheric blocking events, enhancing understanding of phase space organization.
Contribution
The authors extend transfer operator methods to detect quasi-stationary families in time-dependent systems, providing a new tool for analyzing metastable structures in complex flows.
Findings
Successfully identified atmospheric blocking events in 2003 European heatwave.
Demonstrated the method's effectiveness on idealised fluid flow and real atmospheric data.
Compared results with existing geophysical blocking diagnosis methods.
Abstract
Macroscopic features of dynamical systems such as almost-invariant sets and coherent sets provide crucial high-level information on how the dynamics organises phase space. We introduce a method to identify time-parameterised families of almost-invariant sets in time-dependent dynamical systems, as well as the families' emergence and disappearance. In contrast to coherent sets, which may freely move about in phase space over time, our technique focuses on families of metastable sets that are quasi-stationary in space. Our straightforward approach extends successful transfer operator methods for almost-invariant sets to time-dependent dynamics and utilises the Ulam scheme for the generator of the transfer operator on a time-expanded domain. The new methodology is illustrated with an idealised fluid flow and with atmospheric velocity data. We identify atmospheric blocking events in the…
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Taxonomy
TopicsImage and Signal Denoising Methods · Engineering Diagnostics and Reliability · Probabilistic and Robust Engineering Design
