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Published on: September 5, 2018
A stochastic dynamical systems view of the Atlantic Multidecadal Oscillation
H A Dijkstra1, L M Frankcombe, A S von der Heydt
1Institute for Marine and Atmospheric Research Utrecht, Department of Physics and Astronomy, Utrecht University, 3508 TC Utrecht, The Netherlands. dijkstra@phys.uu.nl
We present a dynamical systems framework for the Atlantic Multidecadal Oscillation (AMO), finding similarities with El Niño/Southern Oscillation dynamics. A stochastic Hopf bifurcation likely drives North Atlantic sea surface temperature variability.
Area of Science:
- Climate Dynamics
- Oceanography
- Dynamical Systems Theory
Background:
- The Atlantic Multidecadal Oscillation (AMO) significantly influences North Atlantic climate and sea surface temperatures.
- Understanding the underlying mechanisms of the AMO is crucial for climate prediction.
Purpose of the Study:
- To develop a dynamical systems framework for the AMO.
- To investigate the similarities between AMO and El Niño/Southern Oscillation (ENSO) dynamics.
- To identify the specific mechanisms driving multidecadal variability in the North Atlantic.
Main Methods:
- Utilized a minimal primitive equation model to simulate Atlantic Ocean circulation.
- Applied dynamical systems theory, including Hopf bifurcation analysis.
- Incorporated stochastic processes to model noise effects on sea surface temperature variability.
Main Results:
- Identified a normal mode of multidecadal variability within the minimal model.
- This mode can destabilize the background climate state via a Hopf bifurcation.
- Noise was found to determine the amplitude of associated sea surface temperature variability.
Conclusions:
- The study supports the involvement of a stochastic Hopf bifurcation in generating observed North Atlantic multidecadal variability.
- The dynamical systems framework offers insights into AMO mechanisms, drawing parallels with ENSO.
- This research contributes to a deeper understanding of climate variability in the North Atlantic region.
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