Multiplicative Noise and Non-Gaussianity: A Paradigm for Atmospheric Regimes?

@article{Sura2005MultiplicativeNA,
  title={Multiplicative Noise and Non-Gaussianity: A Paradigm for Atmospheric Regimes?},
  author={P. Sura and M. Newman and C. Penland and P. Sardeshmukh},
  journal={Journal of the Atmospheric Sciences},
  year={2005},
  volume={62},
  pages={1391-1409}
}
Abstract Atmospheric circulation statistics are not strictly Gaussian. Small bumps and other deviations from Gaussian probability distributions are often interpreted as implying the existence of distinct and persistent nonlinear circulation regimes associated with higher-than-average levels of predictability. In this paper it is shown that such deviations from Gaussianity can, however, also result from linear stochastically perturbed dynamics with multiplicative noise statistics. Such systems… Expand
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References

SHOWING 1-10 OF 92 REFERENCES
Noise-Induced Transitions in a Barotropic β-Plane Channel
Persistent Anomalies, Blocking and Variations in Atmospheric Predictability
Changes in the dynamical behavior of nonlinear systems induced by noise
Stochastic Analysis of Southern and Pacific Ocean Sea Surface Winds
A stochastic model of IndoPacific sea surface temperature anomalies
...
1
2
3
4
5
...