Articles | Volume 22, issue 1
https://doi.org/10.5194/os-22-281-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-281-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jan 2026
Research article |
| 23 Jan 2026
| 23 Jan 2026
Impact of assimilated observations on the Corsica Channel transport in a 4D-Var system for the northwestern Mediterranean Sea
CNR-ISMAR, 19032 Lerici (Sp), Italy
Andrew Michael Moore
Department of Ocean Sciences, University of California, 95062 Santa Cruz, CA, USA
Roberta Sciascia
CNR-ISMAR, 19032 Lerici (Sp), Italy
Carlo Brandini
CNR-ISMAR, 50019 Sesto Fiorentino (Fi), Italy
Katrin Schroeder
CNR-ISMAR, 30122 Venezia (Ve), Italy
Mireno Borghini
CNR-ISMAR, 19032 Lerici (Sp), Italy
Marcello Gatimu Magaldi
CNR-ISMAR, 19032 Lerici (Sp), Italy
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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.
We use data assimilation (DA) to optimally merge information from observations of ocean...
