Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics.
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High-frequency radar, HFR, is a cost-effective monitoring technique that allows us to obtain high-resolution continuous surface currents, providing new insights for understanding small-scale transport processes in the coastal ocean. In the last years, the use of Lagrangian metrics to study mixing and transport properties has been growing in importance. A common condition among all the Lagrangian techniques is that complete spatial and temporal velocity data are required to compute trajectories of virtual particles in the flow. However, hardware or software failures in the HFR system can compromise the availability of data, resulting in incomplete spatial coverage fields or periods without data. In this regard, several methods have been widely used to fill spatiotemporal gaps in HFR measurements. Despite the growing relevance of these systems there are still many open questions concerning the reliability of gap-filling methods for the Lagrangian assessment of coastal oce.....
Sustainable Development Goals (SDG)14
Essential Ocean Variables (EOV)Surface currents
Maturity LevelTRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationHernández-Carrasco, I. Solabarrieta. L.; Rubio, A. et al (2018) Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics. Ocean Science, 14, pp.827-847. DOI: https://doi.org/10.5194/os-14-827-2018
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