과제정보
이 연구는 기상청 국립기상과학원 「해양기상 및 차세대 해양예측시스템 개발」(KMA 2018-00420)의 일부 지원으로 수행되었습니다. 이에 감사를 드립니다.
참고문헌
- Cheong, L., J. Abraham, Z. Hausfather, and K. E. Trenberth, 2019: How fast are the oceans warming? Science, 363, 128-129, doi:10.1126/science.aav7619.
- Choo, S.-H., P.-H. Chang, S.-O. Hwang, H.-J. Jo, J. Lee, S.-M. Lee, Y.-K. Hyun, and J.-H. Moon, 2021: Assessment of assimilation impact of Argo float observations in marginal seas around Korean peninsula through observing system experiments. Atmosphere, 31, 283-294, doi:10.14191/Atmos.2021.31.3.283 (in Korean with English abstract).
- Fu, H., P. C. Chu, G. Han, Z. He, W. Li, and X. Zhang, 2013: Improvement of short-term forecasting in the northwest Pacific through assimilating Argo data into initial fields. Acta Oceanol. Sin., 32, 57-65, doi:10.1007/s13131-013-0332-2.
- Hyun, S.-H., S.-O. Hwang, S.-M. Lee, and S.-H. Choo, 2022: Verification of the KMA ocean model NEMO against Argo floats and drift buoys: a comparison with the up-to-date US navy HYCOM. Atmosphere, 32, 71-84, doi:10.14191/Atmos.2022.32.1.071 (in Korean with English abstract).
- Jeong, Y. Y., I.-J. Moon, and P.-H. Chang, 2016: Accuracy of short-term ocean prediction and the effect of atmosphere-ocean coupling on KMA Global Seasonal Forecast System (GloSea5) during the development of ocean stratification. Atmosphere, 26, 599-615, doi:10.14191/Atmos.2016.26.4.599 (in Korean with English abstract).
- Johnson, G. C., and Coauthors, 2022: Argo-two decades: Global oceanography, revolutionized. Annu. Rev. Mar. Sci., 14, 379-403, doi:10.1146/annurev-marine-022521-102008.
- Kang, K.-R., H. J. Jo, and Y.-J. Kim, 2020: Ocean Responses to Typhoon Soulik (1819) around Korea. Ocean Sci. J., 55, 445-457, doi:10.1007/s12601-020-0030-x.
- Kang, S.-K.,Y.-H. Seung, J.-J. Park, J.-H. Park, J.-H. Lee, E.-J. Kim, Y.-H. Kim, and M.-S. Suk, 2016: Seasonal variability in mid-depth gyral circulation patterns in the central East/Japan Sea as revealed by long-term Argo data. J. Phys. Oceanogr., 46, 937-946, doi:10.1175/JPO-D-15-0157.1.
- KIOST, 2013: Argo application research plan, BSPE9917B-10280-7, Korea Institute of Ocean Science and Technology, 180 pp.
- Lee, H., Y.-S. Chang, T.-H. Kim, J.-H. Kim, Y.-H. Youn, J.-W. Seo, and T.-G. Seo, 2004: Global ocean observation with ARGO floats: Introduction to ARGO program. Atmosphere, 14, 4-23 (in Korean with English abstract).
- METRI, 2002: Korea Enhanced Observing Period (I), Meteorogical Research Institute, 234 pp.
- NIMS, 2021: Report of NIMS/KMA ARGO Float Operation (2001~2020), National Institute of Meteorological Sciences, 45 pp [Available online at http://nims.go.kr].
- NIMS, 2022: Research and Development for KMA Weather, Climate, and Earth system Services: Development of Marine Meteorology Monitoring a nd Next-generation Ocean Forecasting System (VII). National Institute of Meteorological Sciences, 83 pp.
- Oke, P. R., T. Rykova, G. S. Pilo, and J. L. Lovell, 2022: Estimating Argo float trajectories under ice. Earth Space Sci., 9, e2022EA002312, doi:10.1029/2022EA002312.
- Park, J.-J., and B.-H. Lim, 2018: A new perspective on origin of the East Sea intermediate water: Observations of Argo floats. Progress in Oceanogr., 160, 213-224, doi:10.1016/j.pocean.2017.10.015.
- Roemmich, D., and Coauthors, 2019: On the future of Argo: A global, full-depth, multi-disciplinary array. Frontiers in Marine Science, 6, doi:10.3389/fmars.2019.00439.
- Rykova, T., 2023: Improving forecasts of individual ocean eddies using feature mapping. Sci. Rep., 13, 6216, doi:10.1038/s41598-023-33465-9.
- Shao, C., L. Xuan, Y. Cao, X. Cui, and S. Gao, 2015: Impact of Argo observation on the regional ocean reanalysis of China coastal waters and adjacent seas: A twin-experiment study. Adv. Meteorol., 2015, 1-15, doi:10.1155/2015/793825.
- Wong, A. P. S., and Coauthors, 2020: Argo data 1999~2019: Two million temperature-salinity profiles and subsurface velocity observations from a global array of profiling floats. Frontiers in Mar. Sci., 7, doi:10.3389/fmars.2020.00700.
- Wong, A. P. S., R. Keeley, T. Carval and Argo Data Management Team, 2023: Argo Quality Control Manual for CTD and Trajectory Data. IFREMER, doi:10.13155/33951.
- Yang, C.-S., and A. Ishida, 2004: Argo project: on the distribution prediction of drifting Argo floats. J. Korean Soc. Marine Environ. Engin., 7, 22-29.
- Youn, Y.-H., Y.-S. Chang, Y.-K. Hyun, C.-W. Cho, J.-O. Ku, M.-K. Cho, Y.-S. Ban, S.-J. Park, and S.-J. Kim, 2006: Variability of ocean status around Ulleung Basin and Dok-do by using ARGO data. Atmosphere, 16, 379-385 (in Korean with English abstract).