Articles | Volume 22, issue 1
https://doi.org/10.5194/os-22-281-2026
https://doi.org/10.5194/os-22-281-2026
Research article
 | 
23 Jan 2026
Research article |  | 23 Jan 2026

Impact of assimilated observations on the Corsica Channel transport in a 4D-Var system for the northwestern Mediterranean Sea

Michele Bendoni, Andrew Michael Moore, Roberta Sciascia, Carlo Brandini, Katrin Schroeder, Mireno Borghini, and Marcello Gatimu Magaldi

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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-2025-3806', Anonymous Referee #1, 25 Sep 2025
    • AC1: 'Reply on RC1', Michele Bendoni, 21 Nov 2025
  • RC2: 'Comment on egusphere-2025-3806', Anonymous Referee #2, 02 Oct 2025
    • AC2: 'Reply on RC2', Michele Bendoni, 21 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Michele Bendoni on behalf of the Authors (27 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Nov 2025) by Anne Marie Treguier
RR by Anonymous Referee #1 (20 Dec 2025)
RR by Anonymous Referee #2 (21 Dec 2025)
ED: Publish as is (22 Dec 2025) by Anne Marie Treguier
AR by Michele Bendoni on behalf of the Authors (05 Jan 2026)  Manuscript 
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Short summary
We use data assimilation (DA) to optimally merge information from observations of ocean variables and a numerical model of the north-western Mediterranean Sea. Data come from satellites, coastal high-frequency radars and fixed & movable devices. DA decreases model errors associated to all observed variables. The volume transport across the Corsica Channel, which connects the Tyrrhenian and Ligurian waters, is differently modified based on the typology and location of the assimilated observation.
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