What question did this study set out to answer?

This research aims to enhance ocean model predictability by integrating high-frequency radar data into existing ocean models.

February 9, 2026Open Access

Integration of high-frequency radar observations with 2dvar data assimilation for enhanced ocean model predictability: a case study of the Pasaia port

Key Points

This research aims to enhance ocean model predictability by integrating high-frequency radar data into existing ocean models.
Integrated high-frequency radar observations with 2DVAR data assimilation.
Utilized HF radar measurements from AZTI to optimize the IBI product.
Evaluated performance with independent in-situ buoy observations.
Used optimized IBI outputs as boundary conditions for the MOHID ocean model.
Enhanced predictability of ocean state in the Pasaia port region.
Improved regional forecasts demonstrated through assimilation of radar data.

Abstract

This study enhances ocean model predictability in the southeastern Bay of Biscay region, with specific focus on Pasaia port, through the integration of high-frequency (HF) radar observations into the Iberian-Biscay-Irish (IBI) product from Copernicus Marine Service. We implement a twodimensiona variational (2DVAR) data assimilation scheme utilizing HF radar measurements provided by AZTI. The assimilation performance is evaluated against independent insitu buoy observations in the target area. The optimized IBI outputs serve as boundary conditions for the MOHID ocean model, developed by RIVAS PROTECT, ultimately improving regional ocean state predictions.

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Cite This Study

Sanchez et al. (Wed,) studied this question.

synapsesocial.com/papers/69897983f0ec2af6756e73cb https://doi.org/https://doi.org/10.5821/iwp.2025.24.14018

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