해양과학기지 RangeFinder 파랑 시계열 자료의 특성 분석 및 품질개선을 위한 알고리즘 개발

• 영문명: Algorithm Development for Quality Control of RangeFinder Wave Time Series Data at Ocean Research Station
• 발행기관: 한국연안방재학회
• 저자명: 황예진(Yejin Hwang) 도기덕(Kideok Do) 정진용(Jin-Yong Jeong) 이은주(Eunju Lee) 신성원(Sungwon Shin)
• 간행물 정보: 『한국연안방재학회지』제9권 제3호, 171~178쪽, 전체 8쪽
• 주제분류: 사회과학 > 사회과학일반
• 파일형태: PDF
• 발행일자: 2022.07.30

영문 초록

Ocean Research Station is a comprehensive ocean research infrastructure built to collect and provide real-time data with state- of-the-art observation systems. This station operates various research facilities, and the data is actively used for research in each field. In particular, since wave data is produced through the remote-sensing observation method, they are valuable as observation data. Unlike the direct observation method, they can stably collect data and store long-term observation data on severe weather. However, there is a limitation that outlier may occur due to the process of measuring and collecting data or the effects of temporary environmental changes. This study improves the remote wave data quality of MIROS RangeFinder installed at the Socheongcho Ocean Research Station using an algorithm and confirms the reliability by comparing it with the wave buoy observation data operated by the Korea Meteorological Administration. The algorithm used is a Spike removal median filter, which is applied after adjusting the conditions and variables according to the characteristics of the Socheongcho wave data. Also, we developed a new filter using a variable threshold to increase the outlier detection rate. As a result, the final algorithm shows a high outlier detection rate, but some outliers are still not removed, so improvements are required to enhance the algorithm’s performance. In addition, continuous research on the remote-sensing wave observation method is required to compensate for the limitation that the accuracy is slightly lower than that of the direct observation method.

목차

1. 서 론

2. 파랑관측장비 및 이상자료

3. 원격파랑관측자료 품질개선을 위한 알고리즘 개발

4. 데이터의 신뢰도 검증을 위한 유의파고 확인

5. 결 론

References

키워드

Socheongcho RangeFinder Algorithm development Outlier detection Quality control