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FOL 최적화를 통한 고주파 해양레이더 자료 품질 개선

Improving High-Frequency Ocean Radar Data Quality through FOL Optimization

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키워드

주제분류해양학

초록

The process of detecting and distinguishing the first-order peak (representing ocean currents) and the second-order peak (representing waves) in the Doppler spectrum received by HF-Radar systems is referred to as First Order Line (FOL) separation. Accurate identification of the null point between these peaks is crucial for precise current velocity estimation. This study reprocessed radial velocity data using optimized FOL parameters and evaluated the quality improvement by comparing the results with drifter buoy velocity data. The experimental results showed that the optimal FOL parameters varied across different observation stations. However, overall improvements were observed, with increased correlation coefficients and reduced root mean square errors. Additionally, the data coverage area expanded, leading to improved data collection rates. In conclusion, this study demonstrates that optimizing FOL parameters in HF-Radar systems significantly enhances the accuracy and quality of radial velocity data. By adjusting FOL parameters to account for the propagation environment and regional characteristics of each observation station, the reliability and precision of current velocity data can be improved. This suggests a practical approach to broad-scale quality enhancement of HF-Radar data.

Abstract

The process of detecting and distinguishing the first-order peak (representing ocean currents) and the second-order peak (representing waves) in the Doppler spectrum received by HF-Radar systems is referred to as First Order Line (FOL) separation. Accurate identification of the null point between these peaks is crucial for precise current velocity estimation. This study reprocessed radial velocity data using optimized FOL parameters and evaluated the quality improvement by comparing the results with drifter buoy velocity data. The experimental results showed that the optimal FOL parameters varied across different observation stations. However, overall improvements were observed, with increased correlation coefficients and reduced root mean square errors. Additionally, the data coverage area expanded, leading to improved data collection rates. In conclusion, this study demonstrates that optimizing FOL parameters in HF-Radar systems significantly enhances the accuracy and quality of radial velocity data. By adjusting FOL parameters to account for the propagation environment and regional characteristics of each observation station, the reliability and precision of current velocity data can be improved. This suggests a practical approach to broad-scale quality enhancement of HF-Radar data.

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