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Enhancing QA/QC Standards for HF Radar-Based Ocean Current Measurements

This document outlines the Quality Assurance (QA) and Quality Control (QC) standards and methods for High-Frequency (HF) Radar systems used in oceanographic applications. It focuses on developing robust algorithms, evaluation of velocity vector products, and understanding tidal and particle trajectory outputs. The report emphasizes error analysis at various levels, the impact of signal-to-noise ratios, and the need for collaborative efforts with academic users. It aims to improve the accuracy and reliability of HF radar-derived oceanographic data for better decision-making in marine science.

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Enhancing QA/QC Standards for HF Radar-Based Ocean Current Measurements

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  1. Remote Currents: HF RadarQA/QC and Standards Jack Harlan National Ocean Service Center for Operational Oceanographic Products and Services QARTOD-3 2-4 November 2005

  2. NOAA IOOS >>> HFR Network • National HFR Data Server * • Developing QA/QC Methods * • Developing Algorithmic Standards * • Velocity Vector Products • Tidal Velocity Products • Particle Trajectory Products * NOS Partnership with NWS/National Data Buoy Center

  3. FY05-06 IOOS QA/QC and Standards • Level 1 Errors: Influence radial velocity • Spectral frequency estimation algorithms e.g. MUSIC • SNR • Geophysical contribution e.g. spatial variability • Level 2 Errors: Influence total velocity • E.g. Geometry of Sites  Algorithmic Standards

  4. FY05-06 IOOS QA/QC and Standards • Assembled Team of Experienced HFR Researchers • Partitioned the Effort • NOS Increased Emphasis on HFR QA/QC

  5. HF Radar: Level 1 Errors • Spectral Frequency Estimation <-> DOA • Codar SeaSonde uses MUSIC • NOAA Project • Effect of SNR • Averaged Spectra • Empirical and Simulation-based

  6. Level 2 Error Analysis • Total Vector Formation • two-radial-only estimates (GDOP) • unweighted least-squares (LS) estimates • level-1 error-weighted LS estimates • single-site solutions • distance-weighted LS estimates • averaging radius-dependent LS estimates

  7. Approach to QA/QC & Metadata • Collaborate with Academic HFR Users • Fund New Studies to Determine Uncertainties and Best Methods • Learn from QARTOD & MMI Workshops and Implement those Decisions

  8. Future Work • Continue QA/QC for HFR-Derived Currents • More oceanographic regimes • More HFR types e.g. Long-range • QA/QC for HFR-Derived Wave Heights • Product Development • Trajectory-based • Assimilation into circulation models • Fusion of HFR and satellite altimetry • Level 3 error analysis

  9. NOAA HF Radar Jack Harlan National Ocean Service Jack.Harlan@noaa.gov

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