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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (08 Nov 2019) by Pierre Gentine
AR by Justin Schulte on behalf of the Authors (22 Nov 2019)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (11 Dec 2019) by Pierre Gentine
AR by Justin Schulte on behalf of the Authors (17 Dec 2019)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (27 Jan 2020) by Pierre Gentine
ED: Referee Nomination & Report Request started (17 Mar 2020) by Pierre Gentine
RR by Anonymous Referee #2 (31 Mar 2020)
RR by James Doss-Gollin (15 Jun 2020)
ED: Publish subject to minor revisions (review by editor) (03 Jul 2020) by Pierre Gentine
AR by Justin Schulte on behalf of the Authors (29 Jul 2020)  Author's response    Manuscript
ED: Publish as is (08 Sep 2020) by Pierre Gentine
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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.