Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

Kurths, Jürgen; Agarwal, Ankit; Shukla, Roopam; Marwan, Norbert; Rathinasamy, Maheswaran; Caesar, Levke; Krishnan, Raghavan; Merz, Bruno

doi:https://doi.org/10.5194/npg-26-251-2019

Articles | Volume 26, issue 3

https://doi.org/10.5194/npg-26-251-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Centennial issue on nonlinear geophysics: accomplishments...

https://doi.org/10.5194/npg-26-251-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 3

Research article

| Highlight paper

|

15 Aug 2019

Research article | Highlight paper |

| 15 Aug 2019

Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

Jürgen Kurths, Ankit Agarwal, Roopam Shukla, Norbert Marwan, Maheswaran Rathinasamy, Levke Caesar, Raghavan Krishnan, and Bruno Merz

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Final revised paper (published on 15 Aug 2019)
Preprint (discussion started on 17 May 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Review of npg-2019-20', Anonymous Referee #1, 29 May 2019
- AC1: 'Reply to the Review Comments', Ankit Agarwal, 13 Jul 2019
RC2: 'accepted subject to minor revisions', Anonymous Referee #2, 10 Jun 2019
- AC2: 'Reply to the Review Comments', Ankit Agarwal, 13 Jul 2019

Peer-review completion

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

AR by Ankit Agarwal on behalf of the Authors (13 Jul 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (18 Jul 2019) by Stéphane Vannitsem

RR by Anonymous Referee #1 (18 Jul 2019)

RR by Anonymous Referee #2 (23 Jul 2019)

ED: Publish as is (28 Jul 2019) by Stéphane Vannitsem

Short summary

We examined the spatial diversity of Indian rainfall teleconnection at different timescales, first by identifying homogeneous communities and later by computing non-linear linkages between the identified communities (spatial regions) and dominant climatic patterns, represented by climatic indices such as El Nino–Southern Oscillation, Indian Ocean Dipole, North Atlantic Oscillation, Pacific Decadal Oscillation and Atlantic Multi-Decadal Oscillation.