Ocean Science
Ocean Science
OS
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/os-17-755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-17-755-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Research article
 | 
04 Jun 2021
Research article |  | 04 Jun 2021

A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents

Lohitzune Solabarrieta, Ismael Hernández-Carrasco, Anna Rubio, Michael Campbell, Ganix Esnaola, Julien Mader, Burton H. Jones, and Alejandro Orfila

Viewed

Total article views: 2,182 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,440 634 108 2,182 117 120
  • HTML: 1,440
  • PDF: 634
  • XML: 108
  • Total: 2,182
  • BibTeX: 117
  • EndNote: 120
Views and downloads (calculated since 14 Feb 2020)
Cumulative views and downloads (calculated since 14 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,182 (including HTML, PDF, and XML) Thereof 1,970 with geography defined and 212 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
High-frequency radar technology measures coastal ocean surface currents. The use of this technology is increasing as it provides near-real-time information that can be used in oil spill or search-and-rescue emergencies to forecast the trajectories of floating objects. In this work, an analog-based short-term prediction methodology is presented, and it provides surface current forecasts of up to 48 h. The primary advantage is that it is easily implemented in real time.
Read more
Special issue
Coastal marine infrastructure in support of monitoring, science,...