Hourly High Frequency Radar (HFR) surface current data (ocean surface velocity) from 2 different stations located on the French Mediterranean coast (Toulon), reprocessed.
The total velocity is then reconstructed from the filled radial velocity files, and projected onto a cartesian grid of 1km x 1km.
The HFR data comes from two systems, one monostatic radar PEY (located at Fort Peyras, La Seyne sur mer), and one bistatic POB (receiver located at Cap Bénat - Bormes les Mimosas, and transmitter on Porquerolles Island). The HFR data is initially hourly sampled. The radial velocity are processed by an algorithm of Directional of Arrival Finding with a self-calibration method developed by our laboratory. Total velocities are derived using least square fit that maps radial velocities measured from individual sites onto a cartesian grid. The final product is a map of the horizontal components of the ocean currents on a regular grid in the area of overlap of two or more radar stations. Each radar station produces radial velocities map using an hybrid method mixing Beam Forming and Direction Finding according the algorithms described in - New Signal Processing Techniques for Phased-Array Oceanographic Radars: Self-Calibration, Antenna Grouping, and Denoising - https://doi.org/10.1175/JTECH-D-22-0064.1
HF radar sites :
- Peyras : 43°03'47.4"N, 5°51'40.3"E
- Porquerolles (transmitter only): 42°58'59.0"N, 6°12'15.3"E
- Bénat (receiver only): 43°05'31.5"N, 6°21'26.5"E
EUROPEAN DIRECTORY OF MARINE ENVIRONMENTAL RESEARCH PROJECTS (EDMERP) :
- SICOMAR PLUS(12402), IMPACT(12271), MOOSE(11574), and JERICO NEXT(12227)
EQUIPEMENTS:
- High Frequency Surface Wave radar WERA from HELZEL MESSTECHNIK
PARAMETERS:
- sea surface current
Citation:
- Dylan Dumas, Charles-Antoine Guerin, Self-calibration and antenna grouping for bistatic oceanographic High-Frequency Radars, 2020, https://arxiv.org/abs/2005.10528
- Dylan Dumas, Charles-Antoine Guerin, New Signal Processing Techniques for Phased-Array Oceanographic Radars: Self-Calibration, Antenna Grouping, and Denoising, 2023, https://doi.org/10.1175/JTECH-D-22-0064.1
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