Articles | Volume 24, issue 11
Hydrol. Earth Syst. Sci., 24, 5473–5489, 2020
https://doi.org/10.5194/hess-24-5473-2020
Hydrol. Earth Syst. Sci., 24, 5473–5489, 2020
https://doi.org/10.5194/hess-24-5473-2020
Research article
23 Nov 2020
Research article | 23 Nov 2020

A skewed perspective of the Indian rainfall–El Niño–Southern Oscillation (ENSO) relationship

Justin Schulte et al.

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Cited articles

An, S.-I.: Interdecadal changes in the El Niño-La Niña symmetry, Geophys Res. Lett., 31, L23210, https://doi.org/10.1029/2004GL021699, 2004. 
An, S.-I.: A review of interdecadal changes in the nonlinearity of the El Nino–Southern Oscillation, Theor. Appl. Climatol., 97, 29–40, 2009. 
An, S.-I. and Jin, F.-F: Nonlinearity and asymmetry of ENSO., J. Climate, 17, 2399–2412, 2004. 
Ashok, K., Guan, Z., and Yamagata, T.: Impact on the Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO, Geophys Res. Lett., 28, 4499–4502, 2001. 
Ashok, K., Guan, Z, Saji, N. H., and Yamagata, T.: Individual and combined influences of ENSO and the Indian Ocean dipole on the Indian summer monsoon, J. Climate, 17, 3141–3155, 2004. 
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Short summary
Wavelet coherence is now a commonly used method for detecting scale-dependent relationships between time series. In this study, the concept of wavelet coherence is generalized to higher-order wavelet coherence methods that quantify the relationship between higher-order statistical moments associated with two time series. The methods are applied to the El Niño–Southern Oscillation (ENSO) and the Indian monsoon to show that the ENSO–Indian monsoon relationship is impacted by ENSO nonlinearity.