Articles | Volume 17, issue 1
https://doi.org/10.5194/esd-17-181-2026
https://doi.org/10.5194/esd-17-181-2026
Review
 | 
10 Feb 2026
Review |  | 10 Feb 2026

A global perspective on past and future change in regional seasonal cycle shape

Eva Holtanová, Jan Koláček, and Lukas Brunner

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3360', Anonymous Referee #1, 26 Aug 2025
    • AC1: 'Reply on RC1', Eva Holtanova, 17 Oct 2025
  • RC2: 'Comment on egusphere-2025-3360', Anonymous Referee #2, 15 Sep 2025
    • AC2: 'Reply on RC2', Eva Holtanova, 17 Oct 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (22 Oct 2025) by Olivia Martius
AR by Eva Holtanova on behalf of the Authors (30 Oct 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Nov 2025) by Olivia Martius
RR by Anonymous Referee #1 (21 Nov 2025)
RR by Anonymous Referee #2 (01 Dec 2025)
ED: Publish as is (02 Dec 2025) by Olivia Martius
AR by Eva Holtanova on behalf of the Authors (10 Dec 2025)  Manuscript 
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Short summary
We introduce Functional Data Analysis (FDA) as a new approach to diagnose changes in the temperature seasonal cycle. FDA allows the analysis without needing any prior assumptions about the cycle shape. We evaluate past and future changes based on two reanalyses and five CMIP6 models. We discuss regions of robust changes with datasets’ agreement, e.g., a delayed maximum in the south and east of Europe, while highlighting areas of larger dataset differences, mainly in polar and equatorial regions.
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