All Issue

2021 Vol.43, Issue 4 Preview Page

Article

30 December 2021. pp. 229-243
Abstract
References
1
국립해양조사원 (2019) 해양예보 의사결정 체계의 고도화를 위한 국가해양관측망개선연구 결과보고서. 국립해양조사원, 부산, 11-1192136-00507-01, 522 p
2
기상청 (2019) 기상관측데이터 품질검사 프로세스. 기상청 국가기후데이터센터, 서울, 11-1360000-001637-01, 62 p
3
민용침, 정진용, 장찬주, 이재익, 정종민, 민인기, 심재설, 김용선 (2020) 해양과학기지 시계열 관측 자료 품질관리 시스템 구축: 국제 관측자료 품질관리 방안 수온 관측 자료 시범적용과 문제점. Ocean Polar Res 42(3):195-210. doi:10.4217/OPR.2020.42.3.195 10.4217/OPR.2020.42.3.195
4
유재성, 주재걸 (2019) Unit Root Test를 기반으로 한 장기 시계열 데이터의 Non-Stationary 발생에 따른 구조 변화 검정 및 시각화 연구. KIPS Trans Soft Data Eng 8(7):289-302. doi:10.3745/KTSDE.2019.8.7.289 10.3745/KTSDE.2019.8.7.289
5
이상호 (2015) R을 활용한 이상치 검출과 처리. 자유아카데미, 파주, 383 p
6
이재익, 이수찬, 정종민, 민용침, 정진용, 김용선 (2021) 해양과학기지에서 수행한 염분 표류 방지 실험 결과 및 염분 고품질 시계열 자료 생산을 위한 제언. J Coast Prev 8(4): 323-333. doi:10.20481/kscdp.2021.8.4.323 10.20481/kscdp.2021.8.4.323
7
조홍연, 이기섭, 안순모 (2016) 이상자료가 연안 환경자료의 통계 척도에 미치는 영향. Ocean Polar Res 38(2):149-159. doi:10.4217/OPR.2016.38.2.149 10.4217/OPR.2016.38.2.149
8
채정훈, 박문수, 최영진 (2014) WISE 복합기상센서 관측 자료 품질관리시스템. Kor Meteorol Soc 24(3):445-456. doi:10.14191/Atmos.2014.24.3.445 10.14191/Atmos.2014.24.3.445
9
Ha K-J, Nam S, Jeong J-Y, Moon I-J, Lee M, Yun J, Jang CJ, Kim YS, Byun D-S, Heo K-Y, Shim J-S (2019) Observations utilizing Korea ocean research stations and their applications for process studies. B Am Meteorol Soc 100(10):2061-2075. doi:10.1175/BAMS-D-18-0305.1 10.1175/BAMS-D-18-0305.1
10
Hawkins DM (1980) Identification of outliers. Springer, Amsterdam, 188 p 10.1007/978-94-015-3994-4
11
IOOS (2014) Manual for real-time quality control of in-situ temperature and salinity data Version 1.0. Integrated Ocean Observing System, Silver Spring, 55 p
12
IOOS (2021) IOOS QC. https://github.com/ioos/qartod Accessed 1 Mar 2021
13
Kim YS, Jang CJ, Noh J-H, Kim K-T, Kown J-I, Min Y, Jeong J, Lee J, Min I-K, Shim J-S, Byun D-S, Jeong J-Y (2019) A Yellow Sea monitoring system and its scientific applications. Front Mar Sci 6:601. doi:10.3389/fmars.2019.00601 10.3389/fmars.2019.00601
14
NDBC (2009) Handbook of automated data quality control checks and procedures. National Data Buoy Center, Mississippi, 78 p
15
OOI (2012a) Data product specification for gradient test, version 1-01. Consortium for Ocean Leadership. https://oceanobservatories.org/wp-content/uploads/2015/09/1341-10004_Data_Product_SPEC_GLBLRNG_OOI.pdf Accesssed 30 Sep 2019
16
OOI (2012b) Data product specification for spike test, version 1-01. Consortium for Ocean Leadership. https://oceanobservatories.org/wp-content/uploads/2015/09/1341-10006_Data_Product_SPEC_SPKETST_OOI.pdf Accesssed 30 Sep 2019
17
OOI (2013) Protocols and procedures for OOI data products: QA, QC, calibration, physical samples, version 1-22. Consortium for Ocean Leadership, 1102-00300 https://oceanobservatories.org/wp-content/uploads/2015/09/1102-00300_Protocols_Procedures_Data_Products_QAQC_Cal_Physical_Samples_OOI Accessed 30 Sep 2019
18
OOI (2021) Automated QC Algorithms. https://github.com/ooici/ion-functions/tree/master/ion_functions/qcAccessed 1 Mar 2021
19
UNESCO (1993) Manual of quality control procedures for validation of oceanographic data. IOC, Paris, 25 p
20
Weller RA, Baker DJ, Glackin MM, Roberts SJ, Schmitt RW, Twigg ES and Vimont DJ (2019) The challenge of sustaining ocean observations. Front Mar Sci 6:105. doi:10.3389/fmars.2019.00105 10.3389/fmars.2019.00105
21
WMO (2010) Guide to the global observing system, WMO- NO. 488. World Meteorological Organization. https://community.wmo.int/wmo-no-488-guide-global-observing-system Accesssed 1 Mar 2021
22
Zhou Y, Qin R, Xu H, Sadiq S, Yu Y (2018) A data quality control method for seafloor observatories: the application of observed time series data in the East China Sea. Sensors 18(8):2628. doi:10.3390/s18082628 10.3390/s1808262830103440PMC6111880

국문 참고자료의 영문표기 English translation / Romanization of references originally written in Korean

1
KHOA (2019) A report on the improvement of the national ocean observation network to advance the ocean forecast decision-making system, Korea Hydrographic and Oceanographic Agency, Busan, 11-1192136-00507-01, 522 p
2
KMA (2019) Quality control of Meteorological Observations, KMA National Climate Data Center, 11-1360000-001637-01, Seoul, 62 p
3
Min Y, Jeong J-Y, Jang CJ, Lee J, Jeong J, Min I-K, Shim J-S, Kim YS (2020) Quality control of observed temperature time series from the Korea ocean research stations: preliminary application of ocean observation initiative's approach and its limitation. Ocean Polar Res 42(3):195-210. doi:10.4217/OPR.2020.42.3.195 10.4217/OPR.2020.42.3.195
4
Yoo J, Choo J (2019) A study on the test and visualization of change in structures associated with the occurrence of non-stationary of long-term time series data based on unit root test. KIPS Trans Soft Data Eng 8(7):289-302. doi:10.3745/KTSDE.2019.8.7.289 10.3745/KTSDE.2019.8.7.289
5
Lee SH (2015) Outlier detection and treatment using R. Freeacademi, Paju, 383p
6
Lee J, Lee S, Jeong J, Min Y, Jeong J-Y, Kim YS (2021) Salinity drift prevention experiments in the Korea ocean research stations and suggestions for high quality salinity observation. J Coast Prev 8(4):323-333. doi:10.20481/kscdp.2021.8.4.323 10.20481/kscdp.2021.8.4.323
7
Cho H-Y, Lee K-S, Ahn S-M (2016) Impact of outliers on the statistical measures of the environmental monitoring. Ocean Polar Res 38(2):149-159. doi:10.4217/OPR.2016.38.2.149 10.4217/OPR.2016.38.2.149
8
Chae J-H, Park M-S, Choi Y-J (2014) The WISE quality control system for integrated meteorological sensor data. Kor Meteorol Soc 24(3):445-456. doi:10.14191/Atmos.2014.24.3.445 10.14191/Atmos.2014.24.3.445
Information
  • Publisher :Korea Institute of Ocean Science and Technology
  • Publisher(Ko) :한국해양과학기술원
  • Journal Title :Ocean and Polar Research
  • Journal Title(Ko) :Ocean and Polar Research
  • Volume : 43
  • No :4
  • Pages :229-243
  • Received Date :2021. 10. 26
  • Revised Date :2021. 11. 23
  • Accepted Date : 2021. 12. 07