Ocean Science
Ocean Science
OS
Articles | Volume 22, issue 3
Articles | Volume 22, issue 3
https://doi.org/10.5194/os-22-2083-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-2083-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 3
Research article
 | 
01 Jul 2026
Research article |  | 01 Jul 2026

A Digital Twin Ocean: can we improve coastal ocean forecasts using targeted marine autonomy?

Dale Partridge, Deep Banerjee, David Ford, Ke Wang, Jozef Skákala, Juliane Wihsgott, Prathyush P. Menon, Susan Kay, Daniel Clewley, Andrea Rochner, Emma Sullivan, and Matthew Palmer

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Short summary
This study outlines the development and testing of a Digital Twin Ocean (DTO) framework, aimed at improving coastal ocean forecasts through the use of autonomous underwater gliders. A fleet of gliders were deployed in the western English Channel during August–September 2024 to collect measurements of temperature, salinity, chlorophyll and oxygen, aiming to track the movement of the harmful algal bloom Karenia mikimotoi.
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