Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4111-2022
https://doi.org/10.5194/essd-14-4111-2022
Data description paper
 | 
07 Sep 2022
Data description paper |  | 07 Sep 2022

A new operational Mediterranean diurnal optimally interpolated sea surface temperature product within the Copernicus Marine Service

Andrea Pisano, Daniele Ciani, Salvatore Marullo, Rosalia Santoleri, and Bruno Buongiorno Nardelli

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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 essd-2021-462', Anonymous Referee #1, 21 Feb 2022
    • AC1: 'Reply on RC1', Andrea Pisano, 13 May 2022
  • RC2: 'Comment on essd-2021-462', Anonymous Referee #2, 22 Feb 2022
    • AC2: 'Reply on RC2', Andrea Pisano, 13 May 2022
  • RC3: 'Comment on essd-2021-462', Anonymous Referee #3, 16 Mar 2022
    • AC3: 'Reply on RC3', Andrea Pisano, 13 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Andrea Pisano on behalf of the Authors (13 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (06 Jun 2022) by Simona Simoncelli
RR by Anonymous Referee #1 (08 Jun 2022)
ED: Publish subject to minor revisions (review by editor) (14 Jun 2022) by Simona Simoncelli
ED: Publish subject to minor revisions (review by editor) (15 Jun 2022) by Simona Simoncelli
AR by Andrea Pisano on behalf of the Authors (15 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (27 Jul 2022) by Simona Simoncelli
AR by Andrea Pisano on behalf of the Authors (29 Jul 2022)  Author's response   Manuscript 
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Short summary
A new operational diurnal sea surface temperature (SST) product has been developed within the Copernicus Marine Service, providing gap-free hourly mean SST fields from January 2019 to the present. This product is able to accurately reproduce the diurnal cycle, the typical day–night SST oscillation mainly driven by solar heating, including extreme diurnal warming events. This product can thus represent a valuable dataset to improve the study of those processes that require a subdaily frequency.
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