A Nonlinear Theory for El Niño Bursting

By A. Timmermann, F. Jin, J. Abshagen. 2003

157 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/85e0dfbfdcb990738b6811a4c61bb7a676c220d4

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Citations in the corpus

Stochastic climate dynamics: Random attractors and time-dependent invariant measures (2011, methodology): “3 below does exhibit LFV in its chaotic regimes [51]; the latter is characterized by awide peak at low frequencies, which rises above a continuous background that has a power-law or exponential decay; see Appendix B and [52,53].”
Interacting tipping elements increase risk of climate domino effects under global warming (2020, background): “Crucifix, 2012) have been associated with large reorganisations of the AMOC (Ditlevsen et al., 2005; Timmermann et al., 2003; Ganopolski and Rahmstorf, 2002), where ice core data link the events to sea surface temperature increases in the North Atlantic.”
A simple approach to quantifying the noise–ENSO interaction. Part I: deducing the state-dependency of the windstress forcing using monthly mean data (2015, result): “Other conceptual models of ENSO with more inherent non-linearity, like the chaotic bursting models of Timmermann et al. (2003) and Kim and An (2011) could produce different results.”
Tropical Pacific Decadal Variability and Its Relation to Decadal Modulations of ENSO (2004, methodology): “Graham (1994) and Trenberth and Hurrell (1994) used historical SST observations to describe a basin-scale warming in the equatorial Pacific in 1976/77, during which basin-scale surface temperatures increased by nearly 18C.”
Strong and moderate nonlinear El Niño regimes (2016, background): “Our results rather calls for extending previous studies (Timmermann et al. 2003; Jin et al. 2003) to explain the bursting behavior of ENSO, which shall convey insights on the conditions favoring a regime over the other.”
Indian Ocean Dipole Response to Global Warming: Analysis of Ocean–Atmospheric Feedbacks in a Coupled Model* (2009, background): “The solid and dashed lines denote the linear regressions for positive and negative SSH anomalies, respectively.”