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Korean Meteorological Society (한국기상학회)
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Performance of CMIP5 Models for the Relationship between Variabilities of the North Pacific Storm Track and East Asian Winter Monsoon

북태평양 스톰트랙 활동과 동아시아 겨울 몬순의 상관성에 관한 CMIP5 모델의 모의 성능

  • Yoon, Jae-Seung (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University) ;
  • Chung, Il-Ung (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University) ;
  • Shin, Sang-Hye (Industry Academy Cooperation Group, Gangneung-Wonju National University)
  • 윤재승 (강릉원주대학교 대기환경과학과) ;
  • 정일웅 (강릉원주대학교 대기환경과학과) ;
  • 신상희 (강릉원주대학교 산학협력단)
  • Received : 2015.02.27
  • Accepted : 2015.03.06
  • Published : 2015.06.30
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Abstract

Based on the CMIP5 historical simulation datasets, we assessed the performance of state-of-the-art climate models in respect to the relationship between interannual variabilities of the North Pacific synoptic eddy (NPSE) and East Asian winter monsoon (EAWM). Observation (ERA-Interim) shows a high negative correlation (-0.73) between the interannual variabilities of East Asian winter monsoon (EAWM) intensity and North Pacific synoptic eddy (NPSE) activity during the period of 1979~2005. Namely, a stronger (weaker) EAWM is related to a weaker (stronger) synoptic eddy activities over the North Pacific. This strong reverse relationship can be well explained by latitudinal distributions of the surface temperature anomalies over East Asian continent, which leads the variation of local baroclinicity and significantly weakens the baroclinic wave activities over the northern latitudes of $40^{\circ}N$. This feature is supported by the distribution of the meridional heat flux (${\overline{{\nu}^{\prime}{\theta}^{\prime}}}$) anomalies, which have negative (positive) values along the latitudes $40{\sim}50^{\circ}N$ for strong(weak) EAWM years. In this study, the historical simulations by 11 CMIP5 climate models (BCC-CSM1.1, CanESM2, GFDL-ESM2G, GFDL-ESM2M, HadGEM2-AO, HadGEM2-CC, IPSL-CM5A-LR, MPI-ESM-LR, MPI-ESM-MR, MRI-CGCM3, and NorESM1-M) are analyzed for DJF of 1979~2005. Correlation coefficient between the two phenomena is -0.59, which is comparable to that of observation. Model-to-model variation in this relationship is relatively large as the range of correlation coefficient is between -0.76 (HadGEM2-CC and HadGEM2-AO) and -0.33 (MRI-CGCM3). But, these reverse relationships are shown in all models without any exception. We found that the multi-model ensemble is qualitatively similar to the observation in reasoning (that is, latitudinal distribution of surface temperature anomalies, variation of local baroclinicity and meridional heat flux by synoptic eddies) of the reverse relationship. However, the uncertainty for weak EAWM is much larger than strong EAWM. In conclusion, we suggest that CMIP5 models as an ensemble have a good performance in the simulation of EAWM, NPSE, and their relationship.

Keywords

References

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