A new workflow detects multistable states in complex high-dimensional data via optimization of differentiating observables and defines an intermingledness indicator, tested on three climate datasets.
Multistability in a coupled ocean–atmosphere reduced-order model: Nonlinear temperature equations
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Multistability and intermingledness in complex high-dimensional data
A new workflow detects multistable states in complex high-dimensional data via optimization of differentiating observables and defines an intermingledness indicator, tested on three climate datasets.