Empirical forecasting of HF-radar velocity using genetic algorithms
| Autor: | Anne Molcard, Alejandro Orfila, Lucio Bellomo, Céline Quentin, Juan Manuel Sayol, Julien Marmain, Yves Barbin |
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| Přispěvatelé: | Institut Mediterrani d'Estudis Avancats (IMEDEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad de las Islas Baleares (UIB), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2015 |
| Předmět: |
Current (mathematics)
010504 meteorology & atmospheric sciences Field (physics) operational oceanography Empirical orthogonal functions 01 natural sciences law.invention Nonlinear dynamical systems law high-frequency radar (HF-Radar) Genetic algorithm Applied mathematics 14. Life underwater Electrical and Electronic Engineering Radar Empirical modeling Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Remote sensing [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] 010505 oceanography Ocean current Amplitude 13. Climate action General Earth and Planetary Sciences Geology |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname IEEE Transactions on Geoscience and Remote Sensing IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2015, 53 (05), pp.2875-2886. ⟨10.1109/TGRS.2014.2366294⟩ IEEE Transactions on Geoscience and Remote Sensing, 2015, 53 (05), pp.2875-2886. ⟨10.1109/TGRS.2014.2366294⟩ |
| ISSN: | 0196-2892 |
| DOI: | 10.1109/TGRS.2014.2366294⟩ |
| Popis: | © 1980-2012 IEEE. We present a coastal ocean current forecasting system using exclusively past observations of a high-frequency radar (HF-Radar). The forecast is made by developing a new approach based on physical and mathematical results of the nonlinear dynamical systems theory that allows to obtain a predictive equation for the currents. Using radial velocities from two HF-Radar stations, the spatiotemporal variability of the fields is first decomposed using the empirical orthogonal functions. The amplitudes of the most relevant modes representing their temporal evolution are then approximated with functions obtained through a genetic algorithm. These functions will be then combined to obtain the hourly currents at the area for the next 36 h. The results indicate that after 4 h and for a horizon of 24 h, the computed predictions provide more accurate current fields than the latest available field (i.e., persistent field). |
| Databáze: | OpenAIRE |
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