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Significant Wave Height Estimation Incorporating Second-Order Scattering

Senal Chandrasekara, Reza Shahidi

Abstract

Traditional significant wave height (SWH) estima- tion from HF radar typically relies on spectral analysis of the received radar signals. This process was previously simplified by establishing a linear relationship between SWH and the standard deviation of received HF radar voltages under first- order scattering. Building on this approach, this paper presents a physics-informed regression model that incorporates second- order scattering effects through a quadratic formulation derived from a Neumann expansion. The proposed method is evaluated using HF radar data collected in July 2018 at Argentia, New- foundland, with collocated buoy measurements as ground truth. The model achieves a minimum root-mean-square error (RMSE) of approximately 19 cm.

Significant Wave Height Estimation Incorporating Second-Order Scattering

Abstract

Traditional significant wave height (SWH) estima- tion from HF radar typically relies on spectral analysis of the received radar signals. This process was previously simplified by establishing a linear relationship between SWH and the standard deviation of received HF radar voltages under first- order scattering. Building on this approach, this paper presents a physics-informed regression model that incorporates second- order scattering effects through a quadratic formulation derived from a Neumann expansion. The proposed method is evaluated using HF radar data collected in July 2018 at Argentia, New- foundland, with collocated buoy measurements as ground truth. The model achieves a minimum root-mean-square error (RMSE) of approximately 19 cm.
Paper Structure (6 sections, 21 equations, 6 figures, 1 table)

This paper contains 6 sections, 21 equations, 6 figures, 1 table.

Figures (6)

  • Figure 1: The quadratic inversion model architecture.
  • Figure 2: The HF radar site located in Argentia, NL, Canada.
  • Figure 3: Location of the buoy (red star).
  • Figure 4: Groundtruth (buoy) data used to train model.
  • Figure 5: Buoy measurements vs. predicted $H_s$ values.
  • ...and 1 more figures