Articles | Volume 23, issue 5
Nonlin. Processes Geophys., 23, 361–374, 2016
https://doi.org/10.5194/npg-23-361-2016
Nonlin. Processes Geophys., 23, 361–374, 2016
https://doi.org/10.5194/npg-23-361-2016

Research article 20 Sep 2016

Research article | 20 Sep 2016

Wavelet analysis of the singular spectral reconstructed time series to study the imprints of solar–ENSO–geomagnetic activity on Indian climate

Sri Lakshmi Sunkara and Rama Krishna Tiwari

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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
AR by Anna Wenzel on behalf of the Authors (17 Mar 2016)  Author's response
ED: Referee Nomination & Report Request started (04 Jun 2016) by Stéphane Vannitsem
RR by Anonymous Referee #1 (24 Jun 2016)
RR by Anonymous Referee #3 (29 Jun 2016)
ED: Publish subject to minor revisions (further review by Editor) (11 Jul 2016) by Stéphane Vannitsem
AR by Anna Mirena Feist-Polner on behalf of the Authors (20 Jul 2016)  Author's response
ED: Publish subject to minor revisions (further review by Editor) (31 Jul 2016) by Stéphane Vannitsem
AR by Sri Lakshmi Sunkara on behalf of the Authors (09 Aug 2016)  Author's response    Manuscript
ED: Publish as is (22 Aug 2016) by Stéphane Vannitsem
AR by Sri Lakshmi Sunkara on behalf of the Authors (30 Aug 2016)  Author's response    Manuscript
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Short summary
This paper presents a new spectral approach to identifying the periodic patterns from the published Indian temperature variability records. The wavelet analysis of the SSA reconstructed time series highlights the removal of noise in the data and identifies the existence of a high-amplitude, recurrent, multidecadal scale patterns in the Indian continent, confirming the possible influences of sunspot-geomagnetic activity-ENSO through teleconnection.