Analogues-based hydrodynamic modelling for local scales: a case study in Santander bay, Spain

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DOI:

https://doi.org/10.5821/iwp.2025.24.14005

Abstract

The analogues method, rooted in k-Nearest Neighbours (kNN) regression, has been successfully applied in meteorology and extended to oceanography for variables like waves and sea lev- el. This study applies it to modelling currents at a local scale in Santander Bay (Spain). By using clustering to select representative analogues, the method provides accurate predictions with a lower computational cost than traditional numerical modelling. Results indicate that the analogues method offers a robust, interpretable, and resource-efficient alternative to numerical modelling, with potential for coastal management applications.

Published

2026-03-13

Issue

No. 24 (2025)

Section

Articles

License

Copyright (c) 2026 Mirko Rupani, Ana J. Abascal, Andrés García, Rodrigo Manzanas

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