Abstract

Land-based, high-frequency (HF) surface wave radar has the unique capability of monitoring coastal surface parameters, such as current, waves, and wind, up to 200 km off the coast. The Doppler spectrum of the backscattered radar signal is characterized by two strong peaks that are caused by the Bragg-resonant scattering from the ocean surface. The wavelength of Bragg resonant waves is exactly half the radio wavelength (grazing incidence), and these waves are located at the higher frequency part of the wave spectral distribution. When HF radar operates at higher frequencies, the resonant waves are relatively shorter waves, which are more sensitive to a change in wind direction, and they rapidly respond to local wind excitation and a change in wind direction. When the radar operates at lower frequencies, the corresponding resonant waves are relatively longer and take longer time to respond to a change in wind direction due to the progress of wave growth from short waves to long waves. For the wind inversion from HF radar backscatter signals, the accuracy of wind measurement is also relevant to radar frequency. In this paper, a pattern-fitting method for extracting wind direction by estimating the wave spreading parameter is presented, and a comparison of the pattern-fitting method and a conventional method is given as well, which concludes that the pattern-fitting method presents better results than the conventional method. In order to analyze the wind direction inversion from radar backscatter signals under different wind conditions and at different radar frequencies, two radar experiments accomplished in Norway and Italy are introduced, and the results of wind direction inversion are presented. In the two experiments, the radar worked at 27.68 MHz and 12 MHz, respectively, and the wind conditions at the sea surface were quite different. In the experiment in Norway, 67.4% of the wind records were higher than 5 m/s, while, in the experiment in Italy, only 18.9% of the wind records were higher than 5 m/s. All these factors affect the accuracy of wind direction inversion. The paper analyzes the radar data and draws a conclusion on the influencing factor of wind direction inversion.

Highlights

  • The use of high-frequency (HF) radar systems to measure ocean surface wind has been investigated for many years

  • Extraction of the wind direction from HF radar backscatter has been investigated for four decades

  • For wind direction inversion from HF radar backscatter measurements, if the wind speed is low, it means that the sea surface is relatively calm

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Summary

Introduction

The use of high-frequency (HF) radar systems to measure ocean surface wind has been investigated for many years. Long and Trizna [2] suggested using the relative amplitude of the two first-order peaks to determine the short wind wave, and wind direction, and developed a simple model for this. They pointed out that the method has a left–right ambiguity relative to the radio beam, which has to be resolved using additional information. Chu et al [11] applied the multi-beam method for wind direction inversion from a hybrid skywave radar It is clear from References [12,13] that the spreading parameter used in describing the directional distribution of the ocean waves may have a critical influence on determining the wind directions.

Power Ratio of a Radar’s First-Order Peaks and Wave Directional Distribution
Wind Direction Inversion from a Radar’s First-Order Backscatter
Proposed Pattern-Fitting Method for Wind Direction Inversion
Wind Direction and Wavelength of Resonant Waves
Introduction to Radar Experiments and Wind Conditions
Conclusions
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