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

Schulte, Justin; Policielli, Frederick; Zaitchik, Benjamin

doi:https://doi.org/10.5194/hess-24-5473-2020

Articles | Volume 24, issue 11

https://doi.org/10.5194/hess-24-5473-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-5473-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 11

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, Frederick Policielli, and Benjamin Zaitchik

Supplement

https://doi.org/10.5194/hess-24-5473-2020-supplement

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

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.