Analogues-based hydrodynamic modelling for local scales: a case study in Santander bay, Spain
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 sel...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/448825 |
| Acceso en línea: | https://hdl.handle.net/2117/448825 https://dx.doi.org/10.5821/iwp.2025.24.14005 |
| Access Level: | acceso abierto |
| Palabra clave: | Oceanography -- Research -- Spain -- Santander Oceanography -- Equipment and supplies Bays -- Spain -- Santander Hydrodynamic modelling Analogues Clustering kNN K-means Oceanografia -- Investigació -- Cantàbria -- Santander Oceanografia -- Aparells i instruments Badies -- Cantàbria -- Santander Santander, Badia de (Cantàbria) Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura |
| Sumario: | 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. |
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