Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1821-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Subseasonal predictability and Rossby wave dynamics of blocking high during transitional seasons: insights from three successive events in May–June 2023
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- Final revised paper (published on 18 Sep 2026)
- Preprint (discussion started on 23 Mar 2026)
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-2026-1156', Anonymous Referee #1, 16 Apr 2026
- AC1: 'Reply on RC1 and RC2', Jianhua Lu, 06 Jun 2026
- RC2: 'Review of Subseasonal Predictability and Rossby Wave Dynamics of Blocking High during Transitional Seasons: Insights from Three Successive Events in May–June 2023', Anonymous Referee #2, 11 May 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jianhua Lu on behalf of the Authors (21 Jun 2026)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (30 Jun 2026) by Andrea Lopez Lang
RR by Anonymous Referee #1 (03 Jul 2026)
RR by Anonymous Referee #2 (22 Jul 2026)
ED: Publish as is (31 Aug 2026) by Andrea Lopez Lang
AR by Jianhua Lu on behalf of the Authors (03 Sep 2026)
A review of EGUsphere-2026-1156 (Subseasonal predictability and Rossby wave dynamics of blocking high during transitional seasons: Insights from three successive events in May–June 2023) by Zhixiang Li et al. (2026)
Recommendation: Major revisions
Li et al. (2026) takes a case study approach to examining three consecutive blocking events across the Northern Hemisphere in May and June 2023. Through the calculation of certain blocking diagnostics, the paper helps to establish a dynamic connection between the three successive events. In the second half of the paper, the predictability of these events is examined using the ECMWF subseasonal-range ensemble prediction system.
The paper is interesting and offers a nice foundation for a climatological assessment of similar dynamically linked blocking events. The scope and analysis are of high quality, but I find that there is insufficient context that motivates many of the analysis choices and how the motivation of extreme weather is incorporated into the main paper. I think with additional context, this will be a highly successful paper.
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