New Calibration Method Applicable to Significant Wave Heights Obtained by X-Band Radar

Ahn, Kyungmo; Chun, Jeho; Cheon, Se-Hyeon

doi:10.9753/icce.v34.posters.15

Cited by 4 publications

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“…The estimation of significant wave heights using SNR and peak period has been proposed by Ahn et al (2014) and Ahn et al (2015). A case with low energy reception due to low energy backscattering of smooth surface waves is considered to significantly underestimate the significant wave height.…”

Section: Peak Periodmentioning

confidence: 99%

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

Park

Ahn

et al. 2020

J Korean Soc Coast Ocean Eng

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Section: Peak Periodmentioning

confidence: 99%

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

Park

Ahn

et al. 2020

J Korean Soc Coast Ocean Eng

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“…. 하지만 앞서 언급한 바와 같이 Radar와 같은 원격관 측장비는 정확도가 낮은 한계를 가지므로 원격관측장비의 품 질을 개선하고자 하는 연구가 국내외 (Ahn et al, 2014;Gomez et al, 2014;Gurgel et al, 2011;Hisaki, 2009) (Min et al, 2017(Min et al, , 2018 (Min et al, 2017(Min et al, , 2018 (Fig. 5b).…”

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Measurement and Quality Control of MIROS Wave Radar Data at Dokdo

Jun¹,

Min²,

Jeong³

et al. 2020

J Korean Soc Coast Ocean Eng

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Wave observation is widely used to direct observation method for observing the water surface elevation using wave buoy or pressure gauge and remote-sensing wave observation method. The wave buoy and pressure gauge can produce high-quality wave data but have disadvantages of the high risk of damage and loss of the instrument, and high maintenance cost in the offshore area. On the other hand, remote observation method such as radar is easy to maintain by installing the equipment on the land, but the accuracy is somewhat lower than the direct observation method. This study investigates the data quality of MIROS Wave and Current Radar (MWR) installed at Dokdo and improve the data quality of remote wave observation data using the wave buoy (CWB) observation data operated by the Korea Meteorological Administration. We applied and developed the three types of wave data quality control; 1) the combined use (Optimal Filter) of the filter designed by MIROS (Reduce Noise Frequency, Phillips Check, Energy Level Check), 2) Spike Test Algorithm (Spike Test) developed by OOI (Ocean Observatories Initiative) and 3) a new filter (H-Ts QC) using the significant wave height-period relationship. As a result, the wave observation data of MWR using three quality control have some reliability about the significant wave height. On the other hand, there are still some errors in the significant wave period, so improvements are required. Also, since the wave observation data of MWR is different somewhat from the CWB data in high waves of over 3 m, further research such as collection and analysis of long-term remote wave observation data and filter development is necessary.

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Algorithm for Detection of Current and Water-depth using X-band Marine Radar

Ahn

Chun

2015

Procedia Engineering

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New Calibration Method Applicable to Significant Wave Heights Obtained by X-Band Radar

Cited by 4 publications

References 0 publications

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

Measurement and Quality Control of MIROS Wave Radar Data at Dokdo

Algorithm for Detection of Current and Water-depth using X-band Marine Radar

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