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. https://doi.org/10.1016/j.jcp.2013.10.058
2. Can we distinguish canonical El Niño from Modoki? K. Karnauskas https://doi.org/10.1002/grl.51007
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. https://doi.org/10.1002/hyp.10247
4. The Defining Characteristics of ENSO Extremes and the Strong 2015/2016 El Niño A. Santoso et al. https://doi.org/10.1002/2017RG000560
5. Regionalization of rainfall over the Peruvian Pacific slope and coast P. Rau et al. https://doi.org/10.1002/joc.4693
6. ENSO regimes: Reinterpreting the canonical and Modoki El Niño K. Takahashi et al. https://doi.org/10.1029/2011GL047364
7. ENSO nonlinearity in a warming climate J. Boucharel et al. https://doi.org/10.1007/s00382-011-1119-9
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. https://doi.org/10.1007/s00382-012-1429-6
9. Nonstationary time series prediction combined with slow feature analysis G. Wang & X. Chen https://doi.org/10.5194/npg-22-377-2015
10. Contrasted influence of climate modes teleconnections to the interannual variability of coastal sea level components–implications for statistical forecasts J. Boucharel et al. https://doi.org/10.1007/s00382-023-06771-1
11. Visibility graph analysis of the sea surface temperature irreversibility during El Niño events D. Zhao et al. https://doi.org/10.1007/s11071-023-08762-7
12. Reconciling the signal and noise of atmospheric warming on decadal timescales R. Jones & J. Ricketts https://doi.org/10.5194/esd-8-177-2017
13. Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO C. Pires & A. Hannachi https://doi.org/10.1080/16000870.2020.1866393
14. Application of non-Gaussian multidimensional autoregressive model for climate data prediction E. Broszkiewicz-Suwaj & A. Wyłomańska https://doi.org/10.1007/s12572-021-00300-1
15. Extracting the driving force from ozone data using slow feature analysis G. Wang et al. https://doi.org/10.1007/s00704-015-1475-1
16. Global nonlinear and nonstationary climate change effects on regional precipitation and forest phenology in Panama, Central America N. Chang et al. https://doi.org/10.1002/hyp.10151
17. Nonstationary time series prediction by incorporating external forces G. Wang et al. https://doi.org/10.1007/s00376-013-2134-z
18. Atmospheric moisture budget and its regulation of the summer precipitation variability over the Southeastern United States L. Li et al. https://doi.org/10.1007/s00382-013-1697-9