Extraction of wind speed from high frequency ground wave radar oceanic backscatter

Green, David W. (2005) Extraction of wind speed from high frequency ground wave radar oceanic backscatter. Masters thesis, Memorial University of Newfoundland.

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The ability to remotely sense ocean winds has numerous research and commercial applications. High Frequency radar operating in ground wave mode has proven itself to be an effective means of remotely sensing the ocean surface. This is because at the typical operating frequencies (3-30 MHz), the radar signal can travel very large distances. Also, wavelengths in this band interact closely with the most energetic ocean waves. The problem that is dealt with in this thesis is the extraction of the wind speed blowing over a radar-illuminated patch of ocean. -- The Doppler spectra of the returned radar signal contain a wealth of oceanographic information. This is owing to the various complex electromagnetic scattering mechanisms. The radar cross section of the ocean surface that results has many salient features that can be used to extract particular ocean parameters. Based on the existing HF radar theory, an expression is derived that extracts the peak frequency of the ocean spectrum from the radar cross section. This spectral peak frequency is then linked to oceanographic models which dictate the growth of an ocean spectrum to a given wind condition. -- The models are applied to simulated noisy data. In addition, appropriate signal processing techniques are applied to mitigate the effects of noise and to improve the robustness of the models. Finally, the models are applied to sample HF radar data provided by Rutger's University. This data was obtained from a Coastal Ocean Dynamics Applications Radar (CODAR) operating in Breezy Point, NY. The results are then compared to ground truth data provided by the National Oceanic and Atmospheric Administration (NOAA) from a weather station located in the vicinity of the illuminated patch of ocean.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/10573
Item ID: 10573
Additional Information: Bibliography: leaves 71-76.
Department(s): Engineering and Applied Science, Faculty of
Date: 2005
Date Type: Submission
Library of Congress Subject Heading: Doppler radar; Ocean-atmosphere interaction; Winds--Speed--Measurement--Mathematical models; Winds--Speed--Remote sensing.

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