Remote Currents: HF Radar QA/QC and Standards Jack Harlan National Ocean Service Center for Operational Oceanographic Products and Services QARTOD November 2005

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

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

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

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

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

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

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

NOAA HF Radar Jack Harlan National Ocean Service