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Impact of observational MJO forcing on ENSO predictability in the Zebiak-Cane model: Part I. Effect on the maximum prediction error

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Abstract

With the observational wind data and the Zebiak-Cane model, the impact of Madden-Julian Oscillation (MJO) as external forcing on El Niño–Southern Oscillation (ENSO) predictability is studied. The observational data are analyzed with Continuous Wavelet Transform (CWT) and then used to extract MJO signals, which are added into the model to get a new model. After the Conditional Nonlinear Optimal Perturbation (CNOP) method has been used, the initial errors which can evolve into maximum prediction error, model errors and their join errors are gained and then the Niño 3 indices and spatial structures of three kinds of errors are investigated. The results mainly show that the observational MJO has little impact on the maximum prediction error of ENSO events and the initial error affects much greater than model error caused by MJO forcing. These demonstrate that the initial error might be the main error source that produces uncertainty in ENSO prediction, which could provide a theoretical foundation for the adaptive data assimilation of the ENSO forecast and contribute to the ENSO target observation.

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References

  • Chen D, Cane M A, Kaplan A, et al. 2004. Predictability of El Niño over the past 148 years. Nature, 428(6984): 733–736

    Article  Google Scholar 

  • Chen D, Cane M A. 2007. El Niño prediction and predictability. J Comput Phys, 227(7): 3625–3640

    Article  Google Scholar 

  • Cravatte S, Picaut J, Eldin G. 2003. Second and first baroclinic Kelvin modes in the equatorial Pacific at intraseasonal timescales. J Geophys Res, 108(C8), doi: 10.1029/2002JC001511

    Google Scholar 

  • Duan Wansuo, Liu Xinchao, Zhu Keyun, et al. 2009a. Exploring the initial errors that cause a significant “spring predictability barrier” for El Niño events. J Geophys Res, 114(C4), doi: 10.1029/2008JC004925

    Google Scholar 

  • Duan Wansuo, Xue Feng, Mu Mu. 2009b. Investigating a nonlinear characteristic of El Niño events by conditional nonlinear optimal perturbation. Atmos Res, 94(1): 10–18

    Article  Google Scholar 

  • Duan Wansuo, Zhang Rui. 2010. Is model parameter error related to a significant spring predictability barrier for El Niño events? Results from a theoretical model. Advances in Atmospheric Sciences, 27(5): 1003–1013

    Article  Google Scholar 

  • Huang R H. 1999. Advance of the studies of the characteristics, cause of formation and prediction study for climate disaster in China. Chinese Academy of Sciences Bulletin (in Chinese), 3: 188–199

    Google Scholar 

  • Kessler W S, Kleeman R. 2000. Rectification of the MJO into the ENSO cycle. J Climate, 13: 3560–3575

    Article  Google Scholar 

  • Luo Jingjia, Masson S, Behera S K, et al. 2008. Extended ENSO predictions using a fully coupled ocean-atmosphere model. J Climate, 21(1): 84–93

    Article  Google Scholar 

  • Moore A M, Kleeman R. 1996. The dynamics of error growth and predictability in a coupled model of ENSO. Quarterly Journal of the Royal Meteorological Society, 122(534): 1405–1446

    Article  Google Scholar 

  • Mu Mu, Sun Liang, Dijkstra H A. 2004. The sensitivity and stability of the ocean’s thermohaline circulation to finite amplitude perturbation. J Phys Oceanogr, 34(10): 2305–2315

    Article  Google Scholar 

  • Mu Mu, Duan Wansuo, Wang Bin. 2007a. Season-dependent dynamics of nonlinear optimal error growth and El Niño-Southern Oscillation predictability in a theoretical model. J Geophys Res, 112(D10), doi: 10.1029/2005JD006981

    Google Scholar 

  • Mu Mu, Xu Hui, Duan Wansuo. 2007b. A kind of initial errors related to “spring predictability barrier” for El Niño events in Zebiak-Cane model. Geophysical Research Letters, 34(3), doi: 10.1029/2006GL027412

    Google Scholar 

  • Mu Mu, Jiang Zhina. 2008. A new approach to the generation of initial perturbations for ensemble prediction: Conditional nonlinear optimal perturbation. Chinese Sci Bull, 53(13): 2062–2068

    Article  Google Scholar 

  • Mu Mu, Zhou Feifan, Wang Hongli. 2009. A method for identifying the sensitive areas in targeted observations for tropical cyclone prediction: conditional nonlinear optimal perturbation. Mon Wea Rev, 137(5): 1623–1639

    Article  Google Scholar 

  • Peng Yuehua, Duan Wansuo, Xiang Jie. 2011. Effect of stochastic MJO forcing on ENSO predictability. Advances in Atmospheric Sciences, 28(6): 1279–1290

    Article  Google Scholar 

  • Peng Yuehua, Duan Wansuo, Xiang Jie. 2012. Can the uncertainties of Madden-Jullian Oscillation cause a significant “spring predictability barrier” for ENSO events?. Acta Meteorologica Sinica, 26(5): 566–578

    Article  Google Scholar 

  • Rong Xinyao, Zhang Renhe, Li T. 2011. Upscale feedback of high-frequency winds to ENSO. Quarterly Journal of the Royal Meteorological Society, 137(657): 894–907

    Article  Google Scholar 

  • Slingo J M, Rowell D P, Sperber K R, et al. 1999. On the predictability of the interannual behaviour of the Madden-Julian oscillation and its relationship with E1 Niño. Quarterly Journal of the Royal Meteorological Society, 125(554): 583–609

    Google Scholar 

  • Su Tonghua, Xue Feng, Sun Hongchuan, et al. 2015. The El Niño-Southern Oscillation cycle simulated by the climate system model of Chinese Academy of Sciences. Acta Oceanologica Sinica, 34(1): 55–65

    Article  Google Scholar 

  • Tang Youmin, Deng Ziwang, Zhou Xiaobing, et al. 2008. Interdecadal variation of ENSO predictability in multiple models. J Climate, 21(18): 4811–4833

    Article  Google Scholar 

  • Xie Qiang, Wu Xiangyu, Yuan Wenya, et al. 2007. Life cycle of intraseasonal oscillation of summer SST in the western South China Sea. Acta Oceanologica Sinica, 26(3): 1–8

    Google Scholar 

  • Zebiak S E, Cane M A. 1987. A model El Niño-Southern Oscillation. Mon Wea Rev, 115(10): 2262–2278

    Article  Google Scholar 

  • Zebiak S E. 1989. On the 30-60 day oscillation and the prediction of El Niño. J Climate, 2(11): 1381–1387

    Article  Google Scholar 

  • Zhang Chidong. 2001. Intraseasonal perturbations in sea surface temperatures of the equatorial eastern Pacific and their association with the Madden–Julian Oscillation. J Climate, 14(6): 1309–1322

    Article  Google Scholar 

  • Zhang Renhe, Zhou Guangqing, Chao Jiping. 2003. On ENSO dynamics and its prediction. Chinese Journal of Atmospheric Sciences (in Chinese), 27(4): 674–688

    Google Scholar 

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Correspondence to Jie Xiang.

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Foundation item: The National Natural Science Foundation of China under contract No. 41405062.

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Peng, Y., Song, J., Xiang, J. et al. Impact of observational MJO forcing on ENSO predictability in the Zebiak-Cane model: Part I. Effect on the maximum prediction error. Acta Oceanol. Sin. 34, 39–45 (2015). https://doi.org/10.1007/s13131-015-0665-0

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  • DOI: https://doi.org/10.1007/s13131-015-0665-0

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