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.

Data sets

Data for Indian rainfall Indian Institute of Tropical Meteorology https://www.tropmet.res.in/DataArchival-51-Page

Monthly ENSO indices NOAA/OAR/ESRL PSD https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/

Model code and software

R software package J. A. Schulte http://justinschulte.com/wavelets/advbiwavelet.html

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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.