Editorial Type:
Article
Article Type:
Research Article

The Influence of Tropical Pacific SST Anomaly on Surface Air Temperature in China

XiaoJing Jia Department of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang, China and State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Hai Lin Atmospheric Numerical Weather Prediction Research, Environment Canada, Dorval, Québec, Canada

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Xia Yao Department of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang, China

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Print Publication:
15 Feb 2014
DOI:
https://doi.org/10.1175/JCLI-D-13-00176.1
Page(s):
1425–1444
Restricted access

Abstract

The influence of the tropical Pacific sea surface temperature (SST) on the wintertime surface air temperature (SAT) in China is investigated using both the observational data and the output of coupled ocean–atmosphere numerical models during the period from 1960 to 2006. A singular value decomposition analysis (SVD) is applied between 500-hPa geopotential height (Z500) in the Northern Hemisphere and SST in the tropical Pacific Ocean to get the tropical Pacific SST-forced atmospheric patterns. The association of the SAT over China and the tropical Pacific SST is measured by calculating the temporal correlation coefficient (TCC) between the SAT and the expansion coefficient of the atmospheric component of the leading two SVD modes. Results show that the SAT over China is significantly correlated to the second SVD mode (SVD2). The SST component of SVD2 is characterized by negative tropical Pacific SST anomalies centered over the midequatorial Pacific Ocean. The atmospheric component of SVD2 (ASVD2) shares many similarities in spatial structures to the Arctic Oscillation (AO). The time variation of ASVD2, however, is found more closely correlated to the variation of SAT over China than the AO. When SVD2 is in its positive phase, the SAT over China tends to be warmer than normal. Further analysis indicates that the TCC between the SAT in China and ASVD2 is largely decreased after the long-term climate trend is removed. The time variability of the tropical Pacific SST-forced large-scale atmospheric patterns and its relationship to SAT are reasonably captured by the multimodel ensemble (MME) seasonal forecasts. An examination of the MME forecast skill indicates that ASVD2 contributes significantly to the TCC skill of MME forecasts.

Corresponding author address: Xia Yao, Department of Earth Sciences, Zhejiang University, 38 ZheDa Road, Hangzhou, Zhejiang, China. E-mail: yaoxiayiyi@163.com

Abstract

The influence of the tropical Pacific sea surface temperature (SST) on the wintertime surface air temperature (SAT) in China is investigated using both the observational data and the output of coupled ocean–atmosphere numerical models during the period from 1960 to 2006. A singular value decomposition analysis (SVD) is applied between 500-hPa geopotential height (Z500) in the Northern Hemisphere and SST in the tropical Pacific Ocean to get the tropical Pacific SST-forced atmospheric patterns. The association of the SAT over China and the tropical Pacific SST is measured by calculating the temporal correlation coefficient (TCC) between the SAT and the expansion coefficient of the atmospheric component of the leading two SVD modes. Results show that the SAT over China is significantly correlated to the second SVD mode (SVD2). The SST component of SVD2 is characterized by negative tropical Pacific SST anomalies centered over the midequatorial Pacific Ocean. The atmospheric component of SVD2 (ASVD2) shares many similarities in spatial structures to the Arctic Oscillation (AO). The time variation of ASVD2, however, is found more closely correlated to the variation of SAT over China than the AO. When SVD2 is in its positive phase, the SAT over China tends to be warmer than normal. Further analysis indicates that the TCC between the SAT in China and ASVD2 is largely decreased after the long-term climate trend is removed. The time variability of the tropical Pacific SST-forced large-scale atmospheric patterns and its relationship to SAT are reasonably captured by the multimodel ensemble (MME) seasonal forecasts. An examination of the MME forecast skill indicates that ASVD2 contributes significantly to the TCC skill of MME forecasts.

Corresponding author address: Xia Yao, Department of Earth Sciences, Zhejiang University, 38 ZheDa Road, Hangzhou, Zhejiang, China. E-mail: yaoxiayiyi@163.com
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  • Alessandri, A., A. Borrelli, S. Masina, A. Cherchi, S. Gualdi, A. Navarra, and P. Di Pietro, 2010: The INGV–CMCC seasonal prediction system: Improved ocean initial conditions. Mon. Wea. Rev., 138, 3634–3649.

    • Search Google Scholar
    • Export Citation

  • Balmaseda, M., A. Vidard, and D. L. T. Anderson, 2008: The ECMWF Ocean Analysis System: ORA-S3. Mon. Wea. Rev., 136, 3018–3034.

  • Barnett, T., 1985: Variations in near-global sea level pressure. J. Atmos. Sci., 42, 478–501.

  • Branstator, G., 2002: Circumglobal teleconnections, the jet stream waveguide, and the North Atlantic Oscillation. J. Climate, 15, 1893–1910.

    • Search Google Scholar
    • Export Citation

  • Bretherton, C., C. Smith, and J. M. Wallace, 1992: An intercomparison of methods for finding coupled patterns in climate data. J. Climate, 5, 541–560.

    • Search Google Scholar
    • Export Citation

  • Chen, M., P. Xie, J. Janowiak, and P. Arkin, 2002: Global land precipitation: A 50-yr monthly analysis based on gauge observations. J. Hydrometeor., 3, 249–266.

    • Search Google Scholar
    • Export Citation

  • Chen, W., H. F. Graf, and R. H. Huang, 2000: The interannual variability of East Asian winter monsoon and its relation to the summer monsoon. Adv. Atmos. Sci., 17, 46–60.

    • Search Google Scholar
    • Export Citation

  • Chen, W., M. Takahashi, and H.-F. Graf, 2003: Interannual variations of stationary planetary wave activity in the northern winter troposphere and stratosphere and their relations to NAM and SST. J. Geophys. Res., 108, 4797, doi:10.1029/2003JD003834.

    • Search Google Scholar
    • Export Citation

  • Collins, W., and Coauthors, 2008: Evaluation of the HADGEM2 model. Met Office Tech. Note 74, 47 pp. [Available online at http://www.metoffice.gov.uk/media/pdf/8/7/HCTN_74.pdf.]

  • Daget, N., A. T. Weaver, and M. A. Balmaseda, 2009: Ensemble estimation of background-error variances in a three-dimensional variational data assimilation system for the global ocean. Quart. J. Roy. Meteor. Soc., 135, 1071–1094.

    • Search Google Scholar
    • Export Citation

  • Derome, J., and Coauthors, 2001: Seasonal predictions based on two dynamical models. Atmos.–Ocean, 39, 485–501.

  • Ding, Y., 1994: Monsoon over China. Kluwer Academic, 420 pp.

  • Gong, D., and C. Ho, 2003: Detection of large-scale climate signals in spring vegetation index (normalized difference vegetation index) over the Northern Hemisphere. J. Geophys. Res., 108, 4498, doi:10.1029/2002JD002300.

    • Search Google Scholar
    • Export Citation

  • Gong, D., S. Wang, and J. Zhu, 2001: East Asian winter monsoon and Arctic Oscillation. Geophys. Res. Lett., 28 (10), 2073–2076.

  • Guo, D., and Z. Sun, 2004: Relationships of winter North Pacific Oscillation anomalies with the East Asian winter monsoon and the weather and climate in China (in Chinese). J. Nanjing Inst. Meteor., 27, 461–470.

    • Search Google Scholar
    • Export Citation

  • Hoerling, M., J. W. Hurrell, and T. Xu, 2001: Tropical origins for recent North Atlantic climate change. Science, 292, 90–92.

  • Hurrell, J., 1995: Decadal trends in the North Atlantic Oscillation: Regional temperatures and precipitation. Science, 269, 676–679.

    • Search Google Scholar
    • Export Citation

  • Hurrell, J., 1996: Influence of variations in extratropical wintertime teleconnections on Northern Hemisphere temperature. Geophys. Res. Lett., 23 (6), 665–668.

    • Search Google Scholar
    • Export Citation

  • Jia, X., and H. Lin, 2011: Influence of forced large-scale atmospheric patterns on surface air temperature in China. Mon. Wea. Rev., 139, 830–852.

    • Search Google Scholar
    • Export Citation

  • Jia, X., H. Lin, and J. Derome, 2009: The influence of tropical Pacific forcing on the Arctic Oscillation. Climate Dyn., 32, 495–509.

    • Search Google Scholar
    • Export Citation

  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437–471.

  • Keenlyside, N., M. Latif, M. Botzet, J. Jungclaus, and U. Schulzweida, 2005: A coupled method for initializing El Niño Southern Oscillation forecasts using sea surface temperature. Tellus,57A, 340–356.

    • Search Google Scholar
    • Export Citation

  • Kharin, V., Q. Teng, and F. Zwiers, 2009: Skill assessment of seasonal hindcasts from the Canadian historical forecast project. Atmos.–Ocean, 47, 204–223.

    • Search Google Scholar
    • Export Citation

  • Kumar, K., M. Hoerling, and B. Rajagopalan, 2005: Advancing dynamical predication of Indian monsoon rainfall. Geophys. Res. Lett.,32, L08704, doi:10.1029/2004GL021979.

  • 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.

    • Search Google Scholar
    • Export Citation

  • Li, C., 1990: Interaction between anomalous winter monsoon in East Asia and El Niño events. Adv. Atmos. Sci., 7, 36–46.

  • Li, S., S. Hoerling, S. Peng, and K. M. Weickmann, 2006: The annular response to tropical Pacific SST forcing. J. Climate, 19, 1802–1819.

    • Search Google Scholar
    • Export Citation

  • Limpasuvan, V., and D. Hartmann, 1999: Eddies and the annular modes of climate variability. Geophys. Res. Lett., 26 (20), 3133–3136.

    • Search Google Scholar
    • Export Citation

  • Lin, H., J. Derome, and G. Brunet, 2005a: Correction of atmospheric dynamical seasonal forecasts using the leading ocean-forced spatial patterns. Geophys. Res. Lett.,32, L14804, doi:10.1029/2005GL023060.

  • Lin, H., J. Derome, and G. Brunet, 2005b: Tropical Pacific link to the two dominant patterns of atmospheric variability. Geophys. Res. Lett.,32, L03801, doi:10.1029/2004GL021495.

  • Lin, H., G. Brunet, and J. Derome, 2008: Seasonal forecasts of Canadian winter precipitation by post-processing GCM integrations. Mon. Wea. Rev., 136, 769–783.

    • Search Google Scholar
    • Export Citation

  • Melia, D. S., 2002: A global coupled sea ice–ocean model. Ocean Modell., 4, 137–172.

  • Mitchell, T. D., and P. D. Jones, 2005: An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol., 25, 693–712.

    • Search Google Scholar
    • Export Citation

  • Pozo-Vazquez, D., M. J. Esteban-Parra, F. S. Rodrigo, and Y. Castro-Diez, 2001: The association between ENSO and winter atmospheric circulation and temperature in the North Atlantic region. J. Climate, 14, 3408–3420.

    • Search Google Scholar
    • Export Citation

  • Rayner, N., D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan, 2003: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108, 4407, doi:10.1029/2002JD002670.

    • Search Google Scholar
    • Export Citation

  • Richman, M., 1986: Rotation of principal components. Int. J. Climatol., 6, 293–335.

  • Rogers, J., 1990: Patterns of low frequency monthly sea level pressure variability (1899–1996) and associated wave cyclone frequencies. J. Climate, 3, 1364–1379.

    • Search Google Scholar
    • Export Citation

  • Shukla, J., and Coauthors, 2000: Dynamical seasonal prediction. Bull. Amer. Meteor. Soc., 81, 2593–2606.

  • Solomon, A., and M. Newman, 2012: Reconciling disparate twentieth-century Indo-Pacific Ocean temperature trends in the instrumental record. Nat. Climate Change, 2, 691–699.

    • Search Google Scholar
    • Export Citation

  • Thompson, D., and J. Wallace, 1998: The Arctic Oscillation signature in wintertime geopotential height and temperature fields. Geophys. Res. Lett., 25 (9), 1297–1300.

    • Search Google Scholar
    • Export Citation

  • Trenberth, K. E., G. W. Branstator, D. Karoly, A. Kumar, N. Lau, and C. Ropelewski, 1998: Progress during TOGA in understanding and modeling global teleconnections associated with tropical sea surface temperature. J. Geophys. Res.,103 (C7), 14 291–14 324.

  • Wallace, J., and D. S. Gutzler, 1981: Teleconnections in the geopotential height field during the Northern Hemisphere winter. Mon. Wea. Rev., 109, 784–812.

    • Search Google Scholar
    • Export Citation

  • Walter, K., and H. Graf, 2002: On the changing nature of the regional connection between the North Atlantic Oscillation and sea surface temperature. J. Geophys. Res.,107, 4338, doi:10.1029/2001JD000850.

  • Wang, B., R. Wu, and X. Fu, 2000: Pacific–East Asian teleconnection: How does ENSO affect East Asian climate? J. Climate, 13, 1517–1536.

    • Search Google Scholar
    • Export Citation

  • Wang, B., R. Wu, and T. Li, 2003: Atmosphere–warm ocean interaction and its impact on Asian–Australian monsoon variation. J. Climate, 16, 1195–1211.

    • Search Google Scholar
    • Export Citation

  • Wang, B., and Coauthors, 2009: Advance and prospectus of seasonal prediction: Assessment of APCC/CLiPAS 14-model ensemble retrospective seasonal prediction (1980–2004). Climate Dyn., 33, 93–117.

    • Search Google Scholar
    • Export Citation

  • Wang, L., W. Chen, and R. Huang, 2007: Changes in the variability of North Pacific Oscillation around 1975/1976 and its relationship with East Asian winter climate. J. Geophys. Res.,112, D11110, doi:10.1029/2006JD008054.

  • Watanabe, M., 2004: Asian jet waveguide and a downstream extension of the North Atlantic Oscillation. J. Climate, 17, 4674–4691.

  • Weisheimer, A., and Coauthors, 2009: ENSEMBLES: A new multi-model ensemble for seasonal-to-annual predictions—Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs. Geophys. Res. Lett.,36, L21711, doi:10.1029/2009GL040896.

  • Wu, A., and W. Hsieh, 2004: The nonlinear association between ENSO and the Euro-Atlantic winter sea level pressure. Climate Dyn., 23, 859–868.

    • Search Google Scholar
    • Export Citation

  • Wu, R., and B. Kirtman, 2005: Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability. Climate Dyn., 25, 155–170.

    • Search Google Scholar
    • Export Citation

  • Wu, R., Z. Hu, and B. Kirtman, 2003: Evolution of ENSO-related rainfall anomalies in East Asia. J. Climate, 16, 3742–3758.

  • Yang, S., K.-M. Lau, and K.-M. Kim, 2002: Variation of the East Asian jet stream and Asian–Pacific–American winter climate anomalies. J. Climate, 15, 306–325.

    • Search Google Scholar
    • Export Citation

  • Zhang, R., A. Sumi, and M. Kimoto, 1996: Impact of El Niño on the East Asian monsoon: A diagnostic study of the 86/87 and 91/92 events. J. Meteor. Soc. Japan, 74, 49–62.

    • Search Google Scholar
    • Export Citation

  • Zhong, A., H. Hendon, and O. Alves, 2005: Indian Ocean variability and its association with ENSO in a global coupled model. J. Climate, 18, 3634–3649.

    • Search Google Scholar
    • Export Citation
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