Acknowledgement
본 논문의 개선을 위해 좋은 의견을 제시해 주신 두 분의 심사위원께 감사를 드립니다. 이 논문은 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행되었습니다(2017R1E1A1A01074889).
References
- Akaike, H., 1974: A new look at the statistical model identification. IEEE T. Automat. Contr., 19, 716-723. https://doi.org/10.1109/TAC.1974.1100705
- Baldwin, M. P., and Coauthors, 2001: The quasi-biennial oscillation. Rev. Geophys., 39, 179-229. https://doi.org/10.1029/1999RG000073
- Barnes, E. A., and I. R. Simpson, 2017: Seasonal sensitivity of the Northern Hemisphere jet streams to arctic temperatures on subseasonal time scales. J. Climate, 30, 10117-10137, doi:10.1175/JCLI-D-17-0299.1.
- Burnham, K. P., and D. R. Anderson, 2004: Multimodel inference: understanding AIC and BIC in model selection. Sociol. Method. Res., 33, 261-304. https://doi.org/10.1177/0049124104268644
- Collimore, C. C., D. W. Martin, M. H. Hitchman, A. Huesmann, and D. E. Waliser, 2003: On the relationship between the QBO and tropical deep convection. J. Climate, 16, 2552-2568. https://doi.org/10.1175/1520-0442(2003)016<2552:OTRBTQ>2.0.CO;2
- Ding, M., Y. Chen, and S. L. Bressler, 2006: Granger causality: basic theory and application to neuroscience. In B. Schelter et al. Eds., Handbook of time series analysis: Recent Theoretical Developments and Applications, Wiley-VCH, 437-460.
- Garfinkel, C. I., and D. L. Hartmann, 2011a: The influence of the quasi-biennial oscillation on the troposphere in winter in a hierarchy of models. Part I: Simplified dry GCMs. J. Atmos. Sci., 68, 1273-1289, doi:10.1175/2011JAS3665.1.
- Garfinkel, C. I., and D. L. Hartmann, 2011b: The influence of the quasi-biennial oscillation on the troposphere in winter in a hierarchy of models. Part II: Perpetual winter WACCM runs. J. Atmos. Sci., 68, 2026-2041, doi:10.1175/2011JAS3702.1.
- Geweke, J. F., 1984: Measures of conditional linear dependence and feedback between time series. J. Am. Stat. Assoc., 79, 907-915. https://doi.org/10.1080/01621459.1984.10477110
- Granger, C. W. J., 1969: Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424-438. https://doi.org/10.2307/1912791
- Gray, L. J., J. A. Anstey, Y. Kawatani, H. Lu, S. Osprey, and V. Schenzinger, 2018: Surface impacts of the quasi biennial oscillation. Atmos. Chem. Phys., 18, 8227-8247, doi:10.5194/acp-18-8227-2018.
- Guo, S., A. K. Seth, K. M. Kendrick, C. Zhou, and J. Feng, 2008: Partial Granger causality-eliminating exogenous inputs and latent variables. J. Neurosci. Methods, 172, 79-93. https://doi.org/10.1016/j.jneumeth.2008.04.011
- Han, B.-R., Y. Lim, H.-J. Kim, and S.-W. Son, 2018: Development and evaluation of statistical prediction model of monthly-mean winter surface air temperature in Korea. Atmosphere, 28, 153-162, doi:10.14191/Atmos.2018.28.2.153 (in Korean with English abstract).
- Holton, J. R., and H.-C. Tan, 1980: The influence of the equatorial quasi-biennial oscillation on the global circulation at 50 mb. J. Atmos. Sci., 37, 2200-2208. https://doi.org/10.1175/1520-0469(1980)037<2200:TIOTEQ>2.0.CO;2
- Holton, J. R., and H.-C. Tan, 1982: The quasi-biennial oscillation in the Northern Hemisphere lower stratosphere. J. Meteorol. Soc. Jpn. Ser. II, 60, 140-148. https://doi.org/10.2151/jmsj1965.60.1_140
- Hood, L. L., M. A. Redman, W. L. Johnson, and T. J. Galarneau Jr., 2020: Stratospheric influences on the MJO-Induced Rossby wave train: Effects on intraseasonal climate. J. Climate, 33, 365-389, doi:10.1175/JCLI-D-18-0811.1.
- Hsiao, C., 1981: Autoregressive modelling and money-income causality detection. J. Monetary Econ., 7, 85-106. https://doi.org/10.1016/0304-3932(81)90053-2
- Huang, B., and Coauthors, 2017: Extended reconstructed sea surface temperature, version 5 (ERSSTv5): upgrades, validations, and intercomparisons. J. Climate, 30, 8179-8205, doi:10.1175/JCLI-D-16-0836.1.
- Kobayashi, S., and Coauthors, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteorol. Soc. Jpn. Ser. II, 93, 5-48, doi:10.2151/jmsj.2015-001.
- Kug, J.-S., M.-S. Ahn, M.-K. Sung, S.-W. Yeh, H.-S. Min, and Y.-H. Kim, 2010: Statistical relationship between two types of El Nino events and climate variation over the Korean Peninsula. Asia-Pac. J. Atmos. Sci., 46, 467-474, doi:10.1007/s13143-010-0027-y.
- Lee, J. H., and P. Y. Julien, 2016: ENSO impacts on temperature over South Korea. Int. J. Climatol., 36, 3651-3663, doi:10.1002/joc.4581.
- Lee, J. H., M. J. Kang, and H. Y. Chun, 2019: Differences in the tropical convective activities at the opposite phases of the quasi-biennial oscillation. Asia-Pac. J. Atmos. Sci., 55, 317-336, doi:10.1007/s13143-018-0096-x.
- Li, X., M. Sun, D. Han, C. Gao, H. He, and I. A. Mensah, 2018: Dynamic features of China's photovoltaic listed companies in different periods: Based on partial Granger causality network. J. Renew. Sustain. Ener., 10, 045904, doi:10.1063/1.5023131.
- Luo, X., and Y. Zhang, 2015: The linkage between upper-level jet streams over East Asia and East Asian winter monsoon variability. J. Climate, 28, 9013-9028, doi:10.1175/JCLI-D-15-0160.1.
- Ma, T., W. Chen, J. Huangfu, L. Song, and Q. Cai, 2021: The observed influence of the Quasi-Biennial Oscillation in the lower equatorial stratosphere on the East Asian winter monsoon during early boreal winter. Int. J. Climatol., 41, 6254-6269, doi:10.1002/joc.7192.
- Madden, R. A., and P. R. Julian, 1971: Detection of a 40~50 day oscillation in the zonal wind in the tropical Pacific. J. Atmos. Sci., 28, 702-708. https://doi.org/10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2
- McGraw M. C., and E. A. Barnes, 2018: Memory matters: A case for Granger causality in climate variability studies. J. Climate, 31, 3289-3300, doi:10.1175/JCLID-17-0334.1.
- Park, C.-H., S.-W. Son, and J. Choi, 2018: Granger causality test between ENSO and winter climate variability over the Korean Peninsula. J. Climate Change Res., 9, 171-179, doi:10.15531/KSCCR.2018.9.2.171 (in Korean with English abstract).
- Rao, J., C. I. Garfinkel, and I. P. White, 2020: How does the Quasi-Biennial Oscillation affect the boreal winter tropospheric circulation in CMIP5/6 models? J. Climate, 33, 8975-8996, doi:10.1175/JCLI-D-20-0024.1.
- Ruti, P. M., V. Lucarini, A. Dell'Aquila, S. Calmanti, and A. Speranza, 2006: Does the subtropical jet catalyze the midlatitude atmospheric regimes? Geophys. Res. Lett., 33, L06814. https://doi.org/10.1029/2005GL024620
- Seo, J., W. Choi, D. Youn, D.-S. R. Park, and J. Y. Kim, 2013: Relationship between the stratospheric quasi-biennial oscillation and the spring rainfall in the western North Pacific. Geophys. Res. Lett., 40, 5949-5953, doi: 10.1002/2013GL058266.
- Simpson, I. R., M. Blackburn, and J. D. Haigh, 2009: The role of eddies in driving the tropospheric response to stratospheric heating perturbations. J. Atmos. Sci., 66, 1347-1365. https://doi.org/10.1175/2008JAS2758.1
- Son, S.-W., Y. Lim, C. Yoo, H. H. Hendon, and J. Kim, 2017: Stratospheric Control of the Madden-Julian Oscillation. J. Climate, 30, 1909-1922, doi:10.1175/JCLI-D-16-0620.1.
- Thompson, D. W. J., M. P. Baldwin, and J. M. Wallace, 2002: Stratospheric connection to Northern Hemisphere wintertime weather: Implications for prediction. J. Climate, 15, 1421-1428. https://doi.org/10.1175/1520-0442(2002)015<1421:SCTNHW>2.0.CO;2
- Wang, W., B. T. Anderson, R. K. Kaufmann, and R. B. Myneni, 2004: The relation between the North Atlantic Oscillation and SSTs in the North Atlantic basin. J. Climate, 17, 4752-4759. https://doi.org/10.1175/JCLI-3186.1
- Youssofzadeh, V., G. Prasad, M. Naeem, and K. Wong-Lin, 2016: Temporal information of directed causal connectivity in multi-trial ERP data using partial Granger causality. Neuroinform., 14, 99-120, doi:10.1007/s12021-015-9281-6.