Quality Assessment Techniques Applied to Surface Radial Velocity Maps Obtained from High-Frequency Radars

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This paper presents examples of the data quality assessment of surface radial velocity maps obtained from shore-based single and multiple high-frequency radars (HFRs) using statistical and dynamical approaches in a hindcast mode. Since a single radial velocity map contains partial information regarding a true current field, archived radial velocity data embed geophysical signals, such as tides, wind stress, and near-inertial and low-frequency variance. The spatial consistency of the geophysical signals and their dynamic relationships with driving forces are used to conduct the quality assurance and quality control of radial velocity data. For instance, spatial coherence, tidal amplitudes and phases, and wind-radial transfer functions are used to identify a spurious range and azimuthal bin. The uncertainty and signal-to-noise ratio of radial data are estimated with the standard deviation and cross correlation of paired radials sampled at nearby grid points that belong to two different radars. This review paper can benefit HFR users and operators and those who are interested in analyzing HFR-derived surface radial velocity data.
Publisher
AMER METEOROLOGICAL SOC
Issue Date
2015-10
Language
English
Article Type
Article
Keywords

HF RADAR; CURRENTS; CALIFORNIA; WIND; VALIDATION; SYSTEM

Citation

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, v.32, no.10, pp.1915 - 1927

ISSN
0739-0572
DOI
10.1175/JTECH-D-14-00207.1
URI
http://hdl.handle.net/10203/205274
Appears in Collection
ME-Journal Papers(저널논문)
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