Articles | Volume 30, issue 4
Research article
21 Nov 2023
Research article |  | 21 Nov 2023

Superstatistical analysis of sea surface currents in the Gulf of Trieste, measured by high-frequency radar, and its relation to wind regimes using the maximum-entropy principle

Sofia Flora, Laura Ursella, and Achim Wirth


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on npg-2023-9', Anonymous Referee #1, 22 May 2023
  • RC2: 'Comment on npg-2023-9', Anonymous Referee #2, 23 May 2023
  • AC1: 'Comment on npg-2023-9', Sofia Flora, 05 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Sofia Flora on behalf of the Authors (05 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Jul 2023) by Norbert Marwan
RR by Anonymous Referee #2 (14 Sep 2023)
RR by Anonymous Referee #3 (21 Sep 2023)
ED: Publish as is (21 Sep 2023) by Norbert Marwan
AR by Sofia Flora on behalf of the Authors (27 Sep 2023)  Manuscript 
Short summary
An increasing amount of data allows us to move from low-order moments of fluctuating observations to their PDFs. We found the analytical fat-tailed PDF form (a combination of Gaussian and two-exponential convolutions) for 2 years of sea surface current increments in the Gulf of Trieste, using superstatistics and the maximum-entropy principle twice: on short and longer timescales. The data from different wind regimes follow the same analytical PDF, pointing towards a universal behaviour.