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

Sunkara, Sri Lakshmi; Tiwari, Rama Krishna

doi:https://doi.org/10.5194/npg-23-361-2016

Articles | Volume 23, issue 5

https://doi.org/10.5194/npg-23-361-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-23-361-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 23, issue 5

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

Download

Final revised paper (published on 20 Sep 2016)
Preprint (discussion started on 28 Sep 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC C533: 'Referee Comment for the manuscript "Wavelet analysis of the singular spectral reconstructed time series to study the imprints of Solar–ENSO–Geomagnetic activity on Indian climate" by S. Sri Lakshmi and R. K. Tiwari', Anonymous Referee #1, 25 Oct 2015
RC C557: 'rating refers this version of the manuscript', Anonymous Referee #2, 03 Dec 2015
- AC C695: 'Reply to the comments given by the reviwer 2', Sri Lakshmi Sunkara, 19 Feb 2016
AC C681: 'Reply to the comments given by the reviwer 1', Sri Lakshmi Sunkara, 19 Feb 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sri Lakshmi Sunkara on behalf of the Authors (17 Mar 2016) Manuscript

ED: Referee Nomination & Report Request started (04 Jun 2016) by Stéphane Vannitsem

RR by Anonymous Referee #1 (24 Jun 2016)

Suggestions for revision or reasons for rejection

The authors significantly improved the manuscript presentation and style. Therefore, I recommend accepting the manuscript for publication in NPG. However, after several technical corrections, as not all my previous comments have been addressed by the authors.

In particular, the comment regarding the phrase "highlights the removal of noise in the data" in the conclusion and coordinates from where the data of WH have been taken from (the authors claim they added this information to the caption of Figure 1, however, I ca not find it there).

Additional comment is regarding the statement of the problem in at the end of Introduction:lines 107-109. The objective of the manuscript is not clear. Maybe re-formulated as "using wavelet analysis .... to find the....".

Technical comments:
1. line 59 - could you please remove "most" in line 59?
2. Could the authors please clarify the sentence of lines 78-79? Regarding: contributions of.., to...
3. "Availability of data is very less" can be reformulated as "there is a lack of data"
4. Line 92: "In recent years" can be omitted.
5. Line 101: after citation please add 'we'
6. I would recommend using "reveal" instead of "gain" in line 103
7. Line 128: please add "available" after the "Himalayas"
8. Line 138: Just "methods" , without applied.
9. "Climatic structure" is mentioned in line 138, but explained later, in line 149.
10. Line 150. The first sentence can be removed.
11. Please be consistent with formulas' format in the text.
12. Please spell out AMO in line 298. I assume, it is Atlantic Meridional Oscillation, but it would be easier for the reader. Also, the result regarding AMO is not reflected in the conclusion of the manuscript. I believe the manuscript would benefit from adding a sentence about AMO to the conclusion.
13. Could the authors please provide a reference for the study of solar modulation and ENSO?
14. Please remove "&" and spell it out in line 407.

Hide

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 Sri Lakshmi Sunkara on behalf of the Authors (19 Jul 2016) Manuscript

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

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.