과제정보
심사과정에서 본 논문의 개선을 위해 좋은 의견을 제시해주신 심사위원분들께 감사드립니다. 이 연구는 2021년 해양수산부 재원으로 해양수산과학기술진흥원(과학기술기반 해역이용영향평가 기술개발, 20210427)의 지원을 받아 수행하였습니다.
참고문헌
- Ahn, J.-B., J.-H. Ryu, E.-H. Cho, J.-Y. Park, and S.-B. Ryoo, 1997: A study of correlations between air-temperature and precipitation of Korea and SST around Korean peninsula. J. Korean Meteor. Soc., 33, 327-336 (in Korean with English abstract).
- Best, M. J., and Coauthors, 2011: The Joint UK Land Environment Simulator (JULES), model description - Part 1: energy and water fluxes. Geosci. Model Dev., 4, 677-699, doi:10.5194/gmd-4-677-2011.
- Brown, A., S. Milton, M. Cullen, B. Golding, J. Mitchell, and A. Shelly, 2012: Unified modeling and prediction of weather and climate: A 25-year journey. Bull. Amer. Meteor. Soc., 93, 1865-1877, doi:10.1175/BAMS-D-12-00018.1.
- Choi, J., S.-W. Son, Y.-G. Ham, J.-Y. Lee, and H.-M. Kim, 2016: Seasonal-to-interannual prediction skills of near-surface air temperature in the CMIP5 decadal hindcast experiments. J. Climate, 29, 1511-1527, doi:10.1175/JCLI-D-15-0182.1.
- Gupta, A. S., L. C. Muir, J. N. Brown, S. J. Phipps, P. J. Durack, D. Monselesan, and S. E. Wijffels, 2012: Climate drift in the CMIP3 models. J. Climate, 25, 4621-4640, doi:10.1175/JCLI-D-11-00312.1.
- Haerter, J. O., S. Hagemann, C. Moseley, and C. Piani, 2011: Climate model bias correction and the role of timescales. Hydrol. Earth Syst. Sci., 15, 1065-1079, doi:10.5194/hess-15-1065-2011.
- Han, Y.-J., H.-J. Lee, J.-W. Kim, J.-Y. Koo, and Y.-G. Lee, 2019: A study of the influence of short-term air-sea Interaction on precipitation over the Korean peninsula using atmosphere-ocean coupled model. J. Korean Earth Sci. Soc., 40, 584-598 (in Korean with English abstract). https://doi.org/10.5467/JKESS.2019.40.6.584
- Hunke, E. C., W. H. Lipscomb, A. K. Turner, N. Jeffery, and S. Elliott, 2015: CICE: the los alamos sea ice model documentation and software user's manual version 5.1. LA-CC-06-012. T-3 Fluid Dynamics Group, Los Alamos National Laboratory, 116 pp.
- Jang, S.-M., S.-S. Kim, Y.-C. Choi, and S.-G. Kim, 2006: A study of correlations between air-temperature of Jeju and SST around Jeju island. J. Korean Soc. Marine Environ. Engin., 9, 55-62 (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).
- Jin, E. K., and Coauthors, 2008: Current status of ENSO prediction skill in coupled ocean-atmosphere models. Climate Dyn., 31, 647-664, doi:10.1007/s00382-008-0397-3.
- Jung, M.-I., S.-W. Son, J. Choi, and H.-S. Kang, 2015: Assessment of 6-month lead prediction skill of the GloSea5 hindcast experiment. Atmosphere, 25, 323-337, doi:10.14191/Atmos.2015.25.2.323 (in Korean with English abstract).
- Kim, S.-W., H. Kim, K. Song, S.-W. Son, Y. Lim, H.-S. Kang, and Y.-K. Hyun, 2018: Subseasonal-to-Seasonal (S2S) prediction skills of GloSea5 model: Part 1. Geopotential height in the Northern Hemisphere extratropics. Atmosphere, 28, 233-245, doi:10.14191/Atmos.2018.28.3.233 (in Korean with English abstract).
- Lee, S.-J., Y.-K. Hyun, S.-M. Lee, S.-O. Hwang, J. Lee, and K.-O. Boo, 2020: Prediction skill for East Asian summer monsoon indices in a KMA Global Seasonal Forecasting System (GloSea5). Atmosphere, 30, 293-309, doi:10.14191/Atmos.2020.30.3.293 (in Korean with English abstract).
- Lim, S.-M., Y.-K. Hyun, H.-S. Kang, and S.-W. Yeh, 2018: Prediction skill of East Asian precipitation and temperature associated with El Nino in GloSea5 hindcast data. Atmosphere, 28, 37-51, doi:10.14191/Atmos.2018.28.1.037 (in Korean with English abstract).
- Luo, J.-J., S. Masson, S. K. Behera, and T. Yamagata, 2008: Extended ENSO predictions using a fully coupled ocean-atmosphere model. J. Climate, 21, 84-93, doi:10.1175/2007JCLI1412.1.
- MacLachlan, C., and Coauthors, 2015: Global seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system. Q. J. R. Meteorol. Soc., 141, 1072-1084, doi:10.1002/qj.2396.
- Madec, G., and Coauthors, 2017: NEMO ocean engine. Notes du Pole de modelisation de l'Institut PierreSimon Laplace (IPSL) No. 27, 402 pp.
- Moon, Y.-I., H.-H. Kwon, and D.-K. Kim, 2005: A study of relationships between the sea surface temperatures and rainfall in Korea. J. Korea Water Resour. Assoc., 38, 995-1008 (in Korean with English abstract). https://doi.org/10.3741/JKWRA.2005.38.12.995
- Murphy, A. H., and E. S. Epstein, 1989: Skill scores and correlation coefficients in model verification. Mon. Wea. Rev., 117, 572-582. https://doi.org/10.1175/1520-0493(1989)117<0572:SSACCI>2.0.CO;2
- Son, S.-W., H. Kim, K. Song, S.-W. Kim, P. Martineau, Y.-K. Hyun, and Y. Kim, 2020: Extratropical prediction skill of the Subseasonal-to-Seasonal (S2S) prediction models. J. Geophys. Res. Atmos., 125, e2019JD031273, doi:10.1029/2019JD031273.
- Song, K., H. Kim, S.-W. Son, S.-W. Kim, H.-S. Kang, and Y.-K. Hyun, 2018: Subseasonal-to-Seasonal (S2S) prediction of GloSea5 Model: Part 2. Stratospheric sudden warming. Atmosphere, 28, 123-139, doi:10.14191/Atmos.2018.28.2.123 (in Korean with English abstract).
- Vitart, F., and Coauthors, 2017: The subseasonal to seasonal (S2S) prediction project database. Bull. Amer. Meteor. Soc., 98, 163-173, doi:10.1175/BAMS-D-16-0017.1.
- Walters, D. N., and Coauthors, 2011: The Met Office Unified Model global atmosphere 3.0/3.1 and JULES global land 3.0/3.1 configurations. Geosci. Model Dev., 4, 919-941, doi:10.5194/gmd-4-919-2011.
- Wang, B., and Coauthors, 2009: Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980-2004). Climate Dyn., 33, 93-117, doi: 10.1007/s00382-008-0460-0.
- WCRP, 2011: Data and bias correction for decadal climate predictions. World Climate Research Programme, International CLIVAR Project Office Publication Series no. 150, 5 pp [Available online at https://www.clivar.org/sites/default/files/documents/ICPO150_Bias.pdf].
- Williams, K. D., and Coauthors, 2015: The Met Office global coupled model 2.0 (GC2) configuration. Geosci. Model Dev., 88, 1509-1524, doi:10.5194/gmd-88-1509-2015.
- Yu, C.-S., G.-H. Jeong, and J.-H. Kim, 2000: A study on the correlation between sea surface temperature and temperature and precipitation in Korea. J. Korea Water Resour. Assoc., 33, 145-150 (in Korean).