18 citations as recorded by crossref.

1. ENSO regimes and the late 1970's climate shift: The role of synoptic weather and South Pacific ocean spiciness T. O'Kane et al.
2. Can we distinguish canonical El Niño from Modoki? K. Karnauskas
3. Low‐frequency modulation and trend of the relationship between ENSO and precipitation along the northern to centre Peruvian Pacific coast L. Bourrel et al.
4. The Defining Characteristics of ENSO Extremes and the Strong 2015/2016 El Niño A. Santoso et al.
5. Regionalization of rainfall over the Peruvian Pacific slope and coast P. Rau et al.
6. ENSO regimes: Reinterpreting the canonical and Modoki El Niño K. Takahashi et al.
7. ENSO nonlinearity in a warming climate J. Boucharel et al.
8. Using seasonal hindcasts to understand the origin of the equatorial cold tongue bias in CGCMs and its impact on ENSO B. Vannière et al.
9. Nonstationary time series prediction combined with slow feature analysis G. Wang & X. Chen
10. Contrasted influence of climate modes teleconnections to the interannual variability of coastal sea level components–implications for statistical forecasts J. Boucharel et al.
11. Visibility graph analysis of the sea surface temperature irreversibility during El Niño events D. Zhao et al.
12. Reconciling the signal and noise of atmospheric warming on decadal timescales R. Jones & J. Ricketts
13. Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO C. Pires & A. Hannachi
14. Application of non-Gaussian multidimensional autoregressive model for climate data prediction E. Broszkiewicz-Suwaj & A. Wyłomańska
15. Extracting the driving force from ozone data using slow feature analysis G. Wang et al.
16. Global nonlinear and nonstationary climate change effects on regional precipitation and forest phenology in Panama, Central America N. Chang et al.
17. Nonstationary time series prediction by incorporating external forces G. Wang et al.
18. Atmospheric moisture budget and its regulation of the summer precipitation variability over the Southeastern United States L. Li et al.