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Korean Meteorological Society (한국기상학회)
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Variability of the Western North Pacific Subtropical High in the CMIP5 Coupled Climate Models

CMIP5 기후 모형에서 나타나는 북서태평양 아열대 고기압의 변동성

  • Kim, Eunjin (Integrated Ocean Science, Korea University of Science and Technology) ;
  • Kwon, MinHo (Integrated Ocean Science, Korea University of Science and Technology) ;
  • Lee, Kang-Jin (Ocean Circulation and Climate Research Center, Korea Institute of Ocean Science and Technology)
  • 김은진 (과학기술연합대학원대학교) ;
  • 권민호 (과학기술연합대학원대학교) ;
  • 이강진 (한국해양과학기술원)
  • Received : 2016.10.17
  • Accepted : 2016.11.24
  • Published : 2016.12.31
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Abstract

The western North Pacific subtropical high (WNPSH) in boreal summer has interannual and interdecadal variability, which affects East Asian summer monsoon variability. In particular, it is well known that the intensity of WNPSH is reversely related to that of summer monsoon in North East Asia in association with Pacific Japan (PJ)-like pattern. Many coupled climate models weakly simulate this large-scale teleconnection pattern and also exhibit the diverse variability of WNPSH. This study discusses the inter-model differences of WNPSH simulated by different climate models, which participate in the Coupled Model Intercomparison Project phase 5 (CMIP5). In comparing with reanalysis observation, the 29 CMIP5 models could be assorted into two difference groups in terms of interannual variability of WNPSH. This study also discusses the dynamical or thermodynamics factors for the differences of two groups of the CMIP5 climate models. As results, the regressed precipitation in well-simulating group onto the Nino3.4 index ($5^{\circ}N-5^{\circ}S$, $170^{\circ}W-120^{\circ}W$) is stronger than that in poorly-simulating group. We suggest that this difference of two groups of the CMIP5 climate models would have an effect on simulating the interannual variability of WNPSH.

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References

  1. Hannachi, A., 2004: A primer for EOF analysis of climate data. University of Reading. Reading RG6 6BB, 33 pp.
  2. Huang, R., and F. Sun, 1992: Impacts of the tropical Western Pacific on the East Asian summer monsoon. J. Meteor. Soc. Japan, 70, 243-256. https://doi.org/10.2151/jmsj1965.70.1B_243
  3. Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEPDOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631-1643. https://doi.org/10.1175/BAMS-83-11-1631
  4. Kosaka, Y., and H. Nakamura, 2006: Structure and dynamics of the summertime Pacific-Japan teleconnection pattern. Quart. J. Roy. Meteor. Soc., 132, 2009-2030. https://doi.org/10.1256/qj.05.204
  5. Lau, K. M., and M. T. Li, 1984: The monsoon of East Asia and its global Associations-A Survey. Bull. Amer. Meteor. Soc., 65, 114-125. https://doi.org/10.1175/1520-0477(1984)065<0114:TMOEAA>2.0.CO;2
  6. Lau, N. C., and M. J. Nath, 2000: Impact of ENSO on the variability of the Asian-Australian monsoons as simulated in GCM experiments. J. Climate, 13, 4287-4309. https://doi.org/10.1175/1520-0442(2000)013<4287:IOEOTV>2.0.CO;2
  7. Lee, J. Y., and Coauthors, 2010: How are seasonal prediction skills related to models' performance on mean state and annual cycle? Climate Dyn., 35, 267-283. https://doi.org/10.1007/s00382-010-0857-4
  8. Lee, S. M., J. G. Jhun, M. Kwon, and W. Kim, 2008:Change in the western North Pacific summer monsoon circulation due to the CO2 increase in IPCC AR4 CGCMs. Asia-Pac. J. Atmos. Sci., 44, 351-368.
  9. Li, T., P. Liu, X. Fu, B. Wang, and G. A. Meehl, 2006: Spatiotemporal structures and mechanisms of the tropospheric biennial oscillation in the Indo-Pacific Warm Ocean Regions. J. Climate, 19, 3070-3087. https://doi.org/10.1175/JCLI3736.1
  10. Nitta, T., 1987: Convective activities in the tropical Western Pacific and their impact on the Northern Hemisphere summer circulation. J. Meteor. Soc. Japan, 65, 373-390. https://doi.org/10.2151/jmsj1965.65.3_373
  11. Park, J.-Y., J.-G. Jhun, S.-Y. Yim, and W.-M. Kim, 2010:Decadal changes in two types of the western North Pacific subtropical high in boreal summer associated with Asian summer monsoon/El Nino-Southern Oscillation connections. J. Geophy. Res., 115, D21, doi:10.1029/2009JD013642.
  12. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609-1625. https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
  13. Sperber, K. R., H. Annamalai, I. S. Kang, A. Kitoh, A. Moise, A. Turner, B. Wang, and T. Zhou, 2013: The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century. Climate Dyn., 41, 2711-2744. https://doi.org/10.1007/s00382-012-1607-6
  14. Sui, C. H., P. H., Chung, and T. Li, 2007: Interannual and interdecadal variability of the summertime western North Pacific subtropical high. Geophys. Res. Lett., 34, doi:10.1029/2006GL029204.
  15. Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106, 7183-7192. https://doi.org/10.1029/2000JD900719
  16. Wang, B., and Z. Fan, 1999: Choice of South Asian summer monsoon indices, Bull. Amer. Meteor. Soc., 80, 629-638. https://doi.org/10.1175/1520-0477(1999)080<0629:COSASM>2.0.CO;2
  17. Wang, B., R. Wu, and K. M. Lau, 2001: Interannual variability of the Asian summer monsoon: contrasts between the Indian and the Western North Pacific-East Asian monsoons. J. Climate, 14, 4073-4090. https://doi.org/10.1175/1520-0442(2001)014<4073:IVOTAS>2.0.CO;2
  18. Wang, B., Y. Zhang, and M. M. Lu, 2004: Definition of South China Sea Monsoon onset and commencement of the East Asia Summer Monsoon. J. Climate, 17, 699-710. https://doi.org/10.1175/2932.1
  19. Wang, B., Z. Wu, J. Li, J. Liu, C. P. Chang, Y. Ding, and G. Wu, 2008: How to measure the strength of the East Asian summer monsoon. J. Climate, 21, 4449-4463. https://doi.org/10.1175/2008JCLI2183.1
  20. Wang, B., B. Xiang, and J. Y. Lee, 2013: Subtropical high predictability establishes a promising way for monsoon and tropical storm predictions. Proc. Natl. Acad. Sci., 110, 2718-2722. https://doi.org/10.1073/pnas.1214626110
  21. Xie, P., and P. A. Arkin, 1997: Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558. https://doi.org/10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2

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