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      Early warning signals of tipping points in periodically forced systems

      , ,
      Earth System Dynamics
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> The prospect of finding generic early warning signals of an approaching tipping point in a complex system has generated much interest recently. Existing methods are predicated on a separation of timescales between the system studied and its forcing. However, many systems, including several candidate tipping elements in the climate system, are forced periodically at a timescale comparable to their internal dynamics. Here we use alternative early warning signals of tipping points due to local bifurcations in systems subjected to periodic forcing whose timescale is similar to the period of the forcing. These systems are not in, or close to, a fixed point. Instead their steady state is described by a periodic attractor. For these systems, phase lag and amplification of the system response can provide early warning signals, based on a linear dynamics approximation. Furthermore, the Fourier spectrum of the system's time series reveals harmonics of the forcing period in the system response whose amplitude is related to how nonlinear the system's response is becoming with nonlinear effects becoming more prominent closer to a bifurcation. We apply these indicators as well as a return map analysis to a simple conceptual system and satellite observations of Arctic sea ice area, the latter conjectured to have a bifurcation type tipping point. We find no detectable signal of the Arctic sea ice approaching a local bifurcation.</p>

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                Author and article information

                Journal
                Earth System Dynamics
                Earth Syst. Dynam.
                Copernicus GmbH
                2190-4987
                2016
                April 13 2016
                : 7
                : 2
                : 313-326
                Article
                10.5194/esd-7-313-2016
                a6b18a96-71ca-4d14-a717-6d30dd65e57b
                © 2016

                https://creativecommons.org/licenses/by/3.0/

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