Abstract
Seasonal prediction of the East Asian (EA) winter monsoon (EAWM) is of great significance yet a challenging issue. In this study, three statistical seasonal prediction models for the EAWM are established using three leading modes of the Eurasian snow cover (ESC), the first leading mode of sea surface temperature (SST) and the four leading modes of the combination of the ESC and SST in preceding autumn, respectively. These leading modes are identified by the partial-least square (PLS) regression. The first PLS (PLS1) mode for the ESC features significantly anomalous snow cover in Siberia and Tibetan Plateau regions. The ESC second PLS (PLS2) mode corresponds to large areas of snow cover anomalies in the central Siberia, whereas the third PLS (PLS3) mode a meridional seesaw pattern of ESC. The SST PLS1 mode basically exhibits an El Niño-Southern Oscillation developing phase in equatorial eastern Pacific and significant SST anomalies in North Atlantic. A strong EAWM tends to emerge in a La Niña year concurrent with cold SST anomalies in the North Atlantic, and vice versa. After a 35-year training period (1967–2001), three PLS seasonal prediction models are constructed and the 11-year hindcast is performed for the period of 2002–2012, respectively. The PLS model based on combination of the autumn ESC and SST exhibits the best hindcast skill among the three models, its correlation coefficient between the observation and the hindcast reaching 0.86. This indicates that this physical-based PLS model may provide another practical tool for the EAWM. In addition, the relative contribution of the ESC and SST is also examined by assessing the hindcast skills of the other two PLS models constructed solely by the ESC or SST. Possible physical mechanisms are also discussed.
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References
Barnett TP, Dümenil K, Schlese U, Roeckner E, Latif M (1989) The effect of Eurasian snow cover on regional and global climate variations. J Atmos Sci 46:661–685
Bates GT (2007) Influence of the Atlantic multidecadal oscillation on the winter climate of East China. Adv Atmos Sci 24:126–135
Bond NA, Overland JE, Spillane M, Stabeno P (2003) Recent shifts in the state of the North Pacific. Geophys Res Lett 30:2183
Chang CP, Z Wang, H Hendon (2006) The Asian winter monsoon. In: Wang B (ed) Asian Monsoon, Praxis, pp 89–127
Charney JG, Shukla J (1981) Predictability of monsoons. In: Lighthill J, Pearce RP (eds) Monsoon dynamics. Cambridge University Press, New York, pp 99–109
Chen M, Xie P, Janowiak JE, Arkin P (2002) Global land precipitation: a 50-year monthly analysis based on gauge observations. J Hydrometeorol 3:249–266
Cohen J, Jones J (2011) A new index for more accurate winter predictions. Geophys Res Lett 38:L21701
Déry SJ, Brown RD (2007) Recent Northern Hemisphere snow cover extent trends and implications for the snow-albedo feedback. Geophys Res Lett 34:L22504
Ebita A et al (2011) The Japanese 55-year reanalysis “JRA-55”: an interim report. SOLA 7:149–152
Enfield DB, Mestas-Nuñez AM, Trimble PJ (2001) The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US. Geophys Res Lett 28:2077–2080
Frankignoul C, Sennéchael N (2007) Observed influence of North Pacific SST anomalies on the atmospheric circulation. J Clim 20:592–606
Gong DY, Wang SW, Zhu JH (2001) East Asian winter monsoon and Arctic oscillation. Geophys Res Lett 28:2073–2076
Gong G, Entekhabi D, Cohen J (2003) Modeled Northern Hemisphere winter climate response to realistic Siberian snow anomalies. J Clim 16:3917–3931
Guo QY (1983) Relationship between the variations of East Asian winter monsoon and temperature anomalies in China. Chin J Appl Meteorol 5:218–225
Haaland DM, Thomas EV (1988) Partial least-squares methods for spectral analyses. 2. Application to simulated and glass spectral data. Anal Chem (US) 60(11):1202–1208
Haenlein M, Kaplan AM (2004) A beginner’s guide to partial least squares analysis. Understanding Stat 3:283–297
He SP, Wang HJ (2013) Oscillating relationship between the East Asian winter monsoon and ENSO. J Clim 26:9819–9838
Hsu HH (1987) Propagation of low-level circulation features in the vicinity of mountain ranges. Mon Weather Rev 115:1864–1893
Jhun JG, Lee EJ (2004) A new East Asian winter monsoon index and associated characteristics of winter monsoon. J Clim 17:711–726
Kim HJ, Ahn JB (2012) Possible impact of the autumnal North Pacific SST and November AO on the East Asian winter temperature. J Geophys Res Atmos 117:D12104
Lee JY, Lee SS, Wang B, Ha KJ, Jhun JG (2013) Seasonal prediction and predictability of the Asian winter temperature variability. Clim Dyn 41:573–587
Li CY (1990) Interaction between anomalous winter monsoon in East Asia and El Nino events. Adv Atmos Sci 7:36–46
Li JP, Wu ZW (2012) Importance of autumn Arctic sea ice to northern winter snowfall. Proc Natl Acad Sci 109:E1898
Lin H, Wu ZW (2012) Contribution of Tibetan Plateau snow cover to the extreme winter conditions of 2009/10. Atmos Ocean 50:86–94
Liu J, Curry JA, Wang H, Song M, Horton RM (2012) Impact of declining Arctic sea ice on winter snowfall. Proc Natl Acad Sci USA 109:4074–4079
Ma T, Wu ZW, Jiang ZH (2012) How does coldwave frequency in china respond to a warming climate? Clim Dyn 39:2487–2496
McIntosh AR, Lobaugh NJ (2004) Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage 23:S250–S263
Seager R, Kushnir Y, Nakamura J, Ting M, Naik N (2010) Northern Hemisphere winter snow anomalies: ENSO, NAO and the winter of 2009/10. Geophys Res Lett 37:L14703
Shukla J (1998) Predictability in the midst of chaos: a scientific basis for climate forecasting. Science 282:728–731
Shukla J, Marx L, Paolino D et al (2000) Dynamical seasonal prediction. Bull Am Meteorol Soc 81:2593–2606
Smith T, Reynolds R, Peterson T, Lawrimore J (2008) Improvements to NOAA’s historical merged land-ocean surface temperature analysis (1880–2006). J Clim 21:2283–2296
Smoliak BV, Wallace JM, Stoelinga MT, Mitchell TP (2010) Application of partial least squares regression to the diagnosis of year-to-year variations in Pacific Northwest snowpack and Atlantic hurricanes. Geophys Res Lett 37:L03801
Song L, Duan W, Li Y, Mao J (2016) A timescale decomposed threshold regression downscaling approach to forecasting South China early summer rainfall. Adv Atmos Sci 33:1071–1084
Takaya K, Nakamura H (2005a) Mechanisms of intraseasonal amplification of the cold Siberian high. J Atmos Sci 62:4423–4440
Takaya K, Nakamura H (2005b) Geographical dependence of upper-level blocking formation associated with intraseasonal amplification of the Siberian high. J Atmos Sci 62:4441–4449
Tan Y, Shi L, Tong W et al (2004) Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models. Comput Biol Chem 28:235–243
Tao SY (1957) A study of activities of cold airs in East Asian winter. In: China Meteorological administration (ed) Handbook of short-term forecast. Meteorology Press, pp 60–92
Trenberth KE, Hurrell JW (1994) Decadal atmosphere-ocean variations in the Pacific. Clim Dyn 9:303–319
Udelhoven T, Emmerling C, Jarmer T (2003) Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: a feasibility study. Plant Soil 251:319–329
Wang L, Chen W (2014) An intensity index for the East Asian winter monsoon. J Clim 27:2361–2374
Wang B, Wu RG, Fu XH (2000) Pacific–East Asia teleconnection: how does ENSO affect East Asian climate? J Clim 13:1517–1536
Wang L, Chen W, Huang RH (2008) Interdecadal modulation of PDO on the impact of ENSO on the East Asian winter monsoon. Geophys Res Lett 35:L20702
Wang B, Lee JY, Kang IS et al (2009) Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004). Clim Dyn 33:93–117
Wang B, Wu ZW, Chang CP, Liu J, Li JP, Zhou TJ (2010) Another look at interannual-to-interdecadal variations of the East Asian winter monsoon: the northern and southern temperature modes. J Clim 23:1495–1512
Wen M, Yang S, Kumar A, Zhang P (2009) An analysis of the large-scale climate anomalies associated with the snowstorms affecting China in January 2008. Mon Weather Rev 137:1111–1131
Wold H (1966) Estimation of principal components and related models by iterative least squares. Multivar Anal 1:391–420
Wold S, Sjöström M, Eriksson L (2001) PLSregression: a basic tool of chemometrics. Chemom Intell Lab Syst 58:109–130
Wu BY, Wang J (2002) Winter Arctic oscillation, Siberian high and East Asian winter monsoon. Geophys Res Lett 29:1897
Wu ZW, Yu L (2016) Seasonal prediction of the East Asian summer monsoon with a partial-least square model. Clim Dyn 46:3067–3078
Wu ZW, Li JP, Wang B, Liu X (2009) Can the Southern Hemisphere annular mode affect China winter monsoon? J Geophys Res 114:D11107
Wu ZW, Li JP, Jiang ZH, He JH (2011) Predictable climate dynamics of abnormal East Asian winter monsoon: once-in-a-century snowstorms in 2007/2008 winter. Clim Dyn 37:1661–1669
Yan HM, Duan W, Xiao ZN (2004) A study on relation between east Asian winter monsoon and climate change during raining season in China. J Trop Meteorol (in Chinese) 10:24
Yang S, Lau KM, Kim KM (2002) Variations of the East Asian jet stream and Asian–Pacific–American winter climate anomalies. J Clim 15:306–325
Yeniay O, Goktas A (2002) A comparison of partial least squares regression with other prediction methods. Hacettepe J Math Stat 31:99–101
Yu B, Lin H, Wu ZW, Merryfield WJ (2016) Relationship between North American winter temperature and large-scale atmospheric circulation anomalies and its decadal variation. Environ Res Lett 11:074001
Zhang RH, Sumi A, Kimoto M (1996) Impact of El Niño on the East Asian monsoon: a diagnostic study of the ’86/87 and ’91/92 events. J Meteorol Soc Jpn 74:49–62
Zhang Y, Norris JR, Wallace JM (1998) Seasonality of large-scale atmosphere-ocean interaction over the North Pacific. J Clim 11:2473–2481
Zhang HQ, Qin J, Li Y(2011) Climatic background of cold and wet winter in southern China: part 1. Observational analysis. Clim Dyn 37:2335–2354
Acknowledgements
The authors are grateful to the Rutgers University Global Snow Lab for providing snow cover data. This work is jointly supported by the Ministry of Science and Technology of China (Grant Nos. 2016YFA0601801, 2015CB453201, 2015CB953904 and 2013CB430202) and the National Natural Science Foundation of China (NSFC) (Grant Nos. 41575075, 91437216 and 91637312).
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This paper is a contribution to the special issue on East Asian Climate under Global Warming: Understanding and Projection, consisting of papers from the East Asian Climate (EAC) community and the 13th EAC International Workshop in Beijing, China on 24–25 March 2016, and coordinated by Jianping Li, Huang-Hsiung Hsu, Wei-Chyung Wang, Kyung-Ja Ha, Tim Li, and Akio Kitoh.
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Yu, L., Wu, Z., Zhang, R. et al. Partial least regression approach to forecast the East Asian winter monsoon using Eurasian snow cover and sea surface temperature. Clim Dyn 51, 4573–4584 (2018). https://doi.org/10.1007/s00382-017-3757-z
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DOI: https://doi.org/10.1007/s00382-017-3757-z