Articles | Volume 7, issue 1
https://doi.org/10.5194/wcd-7-1-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
The multi-year negative Indian Ocean Dipole of 2021–2022
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- Final revised paper (published on 05 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 10 Jun 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2025-2303', Anonymous Referee #1, 10 Jul 2025
- AC1: 'Reply on RC1', Ankur Srivastava, 27 Jul 2025
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RC2: 'Comment on egusphere-2025-2303', Anonymous Referee #2, 05 Aug 2025
- AC2: 'Reply on RC2', Ankur Srivastava, 09 Aug 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Ankur Srivastava on behalf of the Authors (19 Aug 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (12 Sep 2025) by Yen-Ting Hwang
RR by Anonymous Referee #1 (24 Sep 2025)
ED: Publish subject to minor revisions (review by editor) (04 Nov 2025) by Yen-Ting Hwang
AR by Ankur Srivastava on behalf of the Authors (13 Nov 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (27 Nov 2025) by Yen-Ting Hwang
AR by Ankur Srivastava on behalf of the Authors (03 Dec 2025)
Manuscript
Main Comment #1
In this paper, the authors emphasize the role of westerly wind anomalies, particularly those in January 2021 and the frequent, long-lived westerly wind bursts (WWBs) from 2021-2022, in sustaining the multi-year nIOD event of 2021-2022. However, based on Figure 2, it seems that other nIOD events also exhibit periods of strong or frequent westerly wind activity before or during the events.
a) Are the WWBs during 2021-2022 significantly stronger, longer-lasting, or more frequent than those in other nIOD events? A more quantitative comparison on winds between the 2021-2022 event and other nIOD events would help support the claim that the WWB occurrence in 2021-2022 is unusual.
b) How do we understand nIOD events that developed following strong easterly winds, as seen in late 1997, for example.
c) This also relates to point (a). In line 130, the statement “each nIOD event has a unique evolution of zonal winds” suggests that wind patterns prior to nIOD events vary significantly. Does this imply that every nIOD event has a distinct formation mechanism? I think it would be helpful to clarify whether the 2021-2022 nIOD is a rare case due to specific conditions like long-lasting westerly wind bursts and Wyrtki Jets, or that nIOD events in general do not follow a common formation mechanism.
Main Comment #2
Lines 178–234 describe the proposed mechanisms and processes in detail, but some parts would benefit from clearer explanation or stronger supporting evidence.
For example, in lines 184-186, the statement that “this unusual occurrence of the WJ in January 2021 was due to the formation of a low-pressure system off the coast of Sri Lanka. This system led to widespread extreme rainfall over parts of Southern India” is interesting, but there is little evidence presented for the low-pressure system and its link to the WJ and rainfall.
Similarly, in lines 207-208, the claim that “the weakening of climatological south-easterlies along the Java-Sumatra coast during boreal summer reduced the evaporative cooling and maintained the positive SST anomaly” seems a bit speculative without enough supporting analysis. I would recommend either providing additional evidence or softening the language.
Minor Comments
Lines 24-29:
a) This sentence seems to imply that negative IOD events correspond to drier conditions in Indonesia and Australia. However, these regions typically experience *increased* rainfall during negative IOD events. I suggest revising this part for clarity.
b) The impacts of IOD events on Sri Lanka, South China, and Brazil are not clearly described. It would be helpful to be more specific about the impacts on these regions.
Lines 31-33:
a) Are the anomalies computed relative to a climatology? Please specify.
b) How is the standard deviation calculated for standardizing the DMI? Which baseline period is used for this?
c) Include references describing the method for computing the DMI.
Lines 37-39: Please specify what is meant by “never been associated with other nIOD events”
Line 58: 2021 was a normal monsoon year (99% of LPA)
Lines 60-61:
a) How about the modulation of the Walker Circulation?
b) Include references that discuss the role of the local Hadley Circulation and/or Walker Circulation.
Lines 72-73: Clarify what specific “anomalous changes” are being referred to here.
Line 74: The question introduced here feels abrupt and disconnected from the following paragraph. It may not be necessary in my view, however, if you choose to keep it, consider adding how the previous studies have examined this question and/or if it will be addressed in this work.
Figure 1:
a) I assume the different colors for NIOD, PIOD, and Neutral are based on standard deviation thresholds. Please clarify the criteria used.
b) What do the orange bars in Figure 1b represent?
Lines 75-77: Phrases like “the strongest recorded to date” and “the first occurrence of a multi-year nIOD” are quite strong. Please be specific, for example, clarify the time period (e.g., since when) these statements refer to.
Line 127: zonal-mean?
Lines 158-161: This paragraph describes what is shown in Figures 4 and 5, and may be more appropriate for the figure captions. Consider moving the detailed descriptions (e.g., event numbers) to the captions and using the main text to focus more on interpretation or analysis.
Line 169: The abbreviation “AVISO” is not defined before. Is this the same SLA product available from the Copernicus Marine Service website?
Line 173: The abbreviation “OSCAR” is not defined before.
Figure 10: Include the units for both the vectors and shadings.