Table of Contents
International Journal of Navigation and Observation
Volume 2016, Article ID 2605198, 9 pages
Research Article

Gap Filling of the CALYPSO HF Radar Sea Surface Current Data through Past Measurements and Satellite Wind Observations

1Physical Oceanography Research Group, Department of Geosciences, Faculty of Science, University of Malta, Msida, Malta
2Department of Intelligent Computer Systems, Faculty of ICT, University of Malta, Msida, Malta
3Department of Computer Information Systems, Faculty of ICT, University of Malta, Msida, Malta

Received 30 June 2016; Revised 11 September 2016; Accepted 29 September 2016

Academic Editor: Aleksandar Dogandzic

Copyright © 2016 Adam Gauci et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Wolfgang, Introduction to Artificial Intelligence, Springer Publishing Company Incorporated, 1st edition, 2011.
  2. T. M. Mitchell, Machine Learning, McGraw-Hill, New York, NY, USA, 1st edition, 1997.
  3. A. Alvera Azcarate, A. Barth, D. Sirjacobs, F. Lenartz, and J. M. Beckers, “Data Interpolating Empirical Orthogonal Functions (DINEOF): a tool for geophysical data analyses,” Mediterranean Marine Science, vol. 12, no. 3, pp. 5–11, 2011. View at Google Scholar
  4. A. Drago, G. Ciraolo, F. Capodici et al., “CALYPSO—an operational network of HF radars for the Malta-Sicily Channel,” in Proceedings of the 7th International Conference on EuroGOOS, H. Dahlin, N. C. Fleming, and S. E. Petersson, Eds., Eurogoos Publication no. 30, pp. 28–30, Lisbon, Portugal, October 2014.
  5. E. Comerma, C. Turner, and A. Drago, “Environmental Data in Support of Search & Rescue Operations in the Central Mediterranean Sea,” Oceanology London, 2016,
  6. S. Cosoli, A. Drago, G. Ciraolo, and F. Capodici, “Tidal currents in the Malta—Sicily Channel from high-frequency radar observations,” Continental Shelf Research, vol. 109, pp. 10–23, 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. J. M. Beckers and M. Rixen, “EOF calculations and data filling from incomplete oceanographic datasets,” Journal of Atmospheric and Oceanic Technology, vol. 20, no. 12, pp. 1839–1856, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Alvera-Azcárate, A. Barth, D. Sirjacobs, and J.-M. Beckers, “Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF,” Ocean Science, vol. 5, no. 4, pp. 475–485, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Drago, R. Sorgente, and A. Ribotti, “A high resolution hydrodynamical 3D model of the Malta Shelf area,” Annales Geophysicae, no. 21, pp. 323–344, 2003. View at Google Scholar
  10. G. F. Grancini and A. Michelato, “Current structure and variability in the Strait of Sicily and adjacent area,” Annales Geophysicae, vol. 5, no. 1, pp. 75–88, 1987. View at Google Scholar
  11. E. Ralf and P. P. Niiler, “Wind-driven currents in the Tropical Pacific,” Journal of Physical Oceanography, vol. 29, pp. 2121–2128, 1999. View at Publisher · View at Google Scholar
  12. A. Lana, J. Marmain, V. Fernández, J. Tintoré, and A. Orfila, “Wind influence on surface current variability in the Ibiza Channel from HF Radar,” Ocean Dynamics, vol. 66, no. 4, pp. 483–497, 2016. View at Publisher · View at Google Scholar
  13. P.-M. Poulain and E. Zambianchi, “Surface circulation in the central Mediterranean Sea as deduced from Lagrangian drifters in the 1990s,” Continental Shelf Research, vol. 27, no. 7, pp. 981–1001, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. Copernicus Marine Service, “Global ocean wind L4 near real time 6 hourly observations,” 2016,
  15. EU Copernicus Marine Service and A. Bentamy, Product User Manual for wind product WIND_GLO_WIND_L4_NRT_OBSERVATIONS_012_004, 2016,
  16. K. Levenberg, “A method for the solution of certain non-linear problems in least squares,” Quarterly of Applied Mathematics, vol. 2, no. 2, pp. 164–168, 1944. View at Google Scholar · View at MathSciNet
  17. D. W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” SIAM Journal on Applied Mathematics, vol. 11, no. 2, pp. 431–441, 1963. View at Google Scholar · View at MathSciNet
  18. Y. Hao and B. M. Wilamowski, “Levenberg-marquardt training,” in Industrial Electronics Handbook, vol. 5 of Intelligent Systems, chapter 12, pp. 12–15, CRC Press, 2nd edition, 2011. View at Google Scholar