Spatial Averaging of HF Radar Data for Wave Measurement Applications

Lucy R. Wyatt Australian Coastal Ocean Radar Network, and Centre for Tropical Water and Aquatic Ecosystem Research, School of Earth and Environmental Sciences, James Cook University, Townsville, Queensland, Australia, and University of Sheffield, and Seaview Sensing Ltd., Sheffield, United Kingdom

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Jasmine B. D. Jaffrés Australian Coastal Ocean Radar Network, and Centre for Tropical Water and Aquatic Ecosystem Research, School of Earth and Environmental Sciences, James Cook University, Townsville, Queensland, Australia

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Mal L. Heron Australian Coastal Ocean Radar Network, and Centre for Tropical Water and Aquatic Ecosystem Research, School of Earth and Environmental Sciences, James Cook University, Townsville, Queensland, Australia

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Abstract

HF radar data are often collected for time periods that are optimized for current measurement applications where, in many cases, very high temporal resolution is needed. Previous work has demonstrated that this does not provide sufficient averaging for robust wave measurements to be made. It was shown that improvements could be made by averaging the radar data for longer time periods. HF radar provides measurements over space as well as in time, so there is also the possibility to average in space. However, the radar data are correlated in space because of the range and azimuth processing. The implications of this are discussed and estimates of the impact on the reduction in variance in the radar Doppler spectral estimates are obtained. Spatial inhomogeneities and temporal nonstationarity in the ocean wave field itself also need to be taken into account. It is suggested that temporal averaging over periods of up to one hour and spatial averaging over 9–25 nearest neighbors may be suitable, and these will be explored in later work.

Corresponding author address: Lucy Wyatt, School of Earth and Environmental Sciences, James Cook University, Townsville QLD 4811, Australia. E-mail: lucy.wyatt@jcu.edu.au

Abstract

HF radar data are often collected for time periods that are optimized for current measurement applications where, in many cases, very high temporal resolution is needed. Previous work has demonstrated that this does not provide sufficient averaging for robust wave measurements to be made. It was shown that improvements could be made by averaging the radar data for longer time periods. HF radar provides measurements over space as well as in time, so there is also the possibility to average in space. However, the radar data are correlated in space because of the range and azimuth processing. The implications of this are discussed and estimates of the impact on the reduction in variance in the radar Doppler spectral estimates are obtained. Spatial inhomogeneities and temporal nonstationarity in the ocean wave field itself also need to be taken into account. It is suggested that temporal averaging over periods of up to one hour and spatial averaging over 9–25 nearest neighbors may be suitable, and these will be explored in later work.

Corresponding author address: Lucy Wyatt, School of Earth and Environmental Sciences, James Cook University, Townsville QLD 4811, Australia. E-mail: lucy.wyatt@jcu.edu.au
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  • Barrick, D., 1972: First-order theory and analysis of MF/HF/VHF scatter from the sea. IEEE Trans. Antennas Propag., 20, 210.

  • Barrick, D., 1980: Logarithmic normalization to remove unknown signal-gain factors before averaging. NOAA Tech. Memo. ERL WPL-56, 21 pp.

  • Bowers, J. A., Morton I. D. , and Mould G. I. , 2000: Directional statistics of the wind and waves. Appl. Ocean Res., 22, 1330.

  • Ebuchi, N., Fukamachi Y. , Ohshima K. I. , Shirasawa K. , Ishikawa M. , Takatsuke T. , Daibo T. , and Wakatsuchi M. , 2006: Observation of the Soya warm current using HF ocean radar. J. Oceanogr., 62, 4761.

    • Search Google Scholar
    • Export Citation
  • Gurgel, K.-W., Antonischki G. , Essen H.-H. , and Schlick T. , 1999a: Wellen radar (WERA): A new ground-wave HF radar for ocean remote sensing. Coastal Eng., 37, 219234.

    • Search Google Scholar
    • Export Citation
  • Gurgel, K.-W., Essen H.-H. , and Kingsley S. , 1999b: HF radars: Physical limitation and recent developments. Coastal Eng., 37, 201218.

    • Search Google Scholar
    • Export Citation
  • Harlan, J., Terrill E. , Hazard L. , Keen C. , Barrick D. , Whelan C. , Howden S. , and Kohut J. , 2010: The Integrated Ocean Observing System High-Frequency Radar Network: Status and local, regional, and national applications. Mar. Technol. Soc. J., 44, 122132.

    • Search Google Scholar
    • Export Citation
  • Harris, F. J., 1978: On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE, 66, 5183.

  • Heron, M. L., and Prytz A. , 2011: The data archive for the phased array HF radars in the Australian Coastal Ocean Radar Network. Proc. Oceans 2011, Santander, Spain, IEEE/OES, 110114-123, doi:10.1109/Oceans-Spain.2011.6003440.

  • Heron, M. L., Wyatt L. R. , Atwater D. P. , and Prytz A. , 2012: The Australian Coastal Ocean Radar Network: Lessons learned in the establishment phase. Proc. Oceans 2012, Yeosu, South Korea, MTS/IEEE/OES, doi:10.1109/OCEANS-Yeosu.2012.6263545.

  • Hisaki, Y., 1996: Nonlinear inversion of the integral equation to estimate ocean wave spectra from HF radar. Radio Sci., 31, 2539.

  • Lipa, B., and Barrick D. E. , 1986: Extraction of sea state from HF radar sea echo: Mathematical theory and modelling. Radio Sci., 21, 81100.

    • Search Google Scholar
    • Export Citation
  • Paduan, J. D., Kosro P. M. , and Glenn S. M. , 2004: A national coastal ocean surface current mapping system for the United States. Mar. Technol. Soc. J., 38, 102108.

    • Search Google Scholar
    • Export Citation
  • Robinson, A. M., and Wyatt L. R. , 2011: A two year comparison between HF radar and ADCP current measurements in Liverpool Bay. J. Oper. Oceanogr.,4, 33–45.

  • Stewart, R. H., and Joy J. W. , 1974: HF radio measurements of ocean surface currents. Deep–Sea Res., 21,10391049.

  • Welch, P. D., 1967: The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short periodograms. IEEE Trans. Audio Electroacoust., 15, 7073.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., 2000: Limits to the inversion of HF radar backscatter for ocean wave measurement. J. Atmos. Oceanic Technol., 17, 16511666.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., and Coauthors, 2003: Validation and intercomparisons of wave measurements and models during the EuroROSE experiments. Coastal Eng., 48, 128.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., Green J. J. , Middleditch A. , Moorhea M. D. , Howart J. , Holt M. , and Keogh S. , 2006: Operational wave, current and wind measurements with the Pisces HF radar. IEEE J. Oceanic Eng., 31, 819834.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., Green J. J. , and Middleditch A. , 2009: Signal sampling impacts on HF radar wave measurement. J. Atmos. Oceanic Technol., 26, 793805.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., Green J. J. , and Middleditch A. , 2011: HF radar data quality requirements for wave measurement. Coastal Eng., 58, 327336.

    • Search Google Scholar
    • Export Citation
  • Zhao, J., Chen X. , Hu W. , Chen J. , and Guo M. , 2011: Dynamics of surface currents over Qingdao coastal waters in August 2008. J. Geophys. Res., 16, C10020, doi:10.1029/2011JC006954.

    • Search Google Scholar
    • Export Citation
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