Biennial Oscillation Associated with the East Asian Summer Monsoon and Tropical Sea Surface Temperatures

Shen, Suhung; Lau, K.-M.

doi:10.2151/jmsj1965.73.1_105

Cited by 191 publications

(132 citation statements)

References 24 publications

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“…However, the presence of such climate signals in the Beijing temperature record clearly indicates the impacts of ocean-atmosphere interactions in modulating the decadal variability of summer temperature in the mid-latitudes. This interpretation is supported by modern observations [32][33][34][35][36], consistently showing the influences of tropical SST on the East Asian monsoon climate.…”

Section: Resultssupporting

confidence: 67%

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

Dai

Zhang

2011

Chin. Sci. Bull.

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A continuous record of surface temperature for the past 2650 years was obtained in an earlier study from a Beijing stalagmite based on sedimentary layer counting and thickness measurements. Singular spectrum analysis, multi-taper and wavelet spectral analyses are used in this study to identify decadal-scale signals and their origins in this record. Besides long-term cycles of solar origin identified in earlier studies, this record contains cycles that dominate temperature with periods of 102-70, 66-50, 31, 25-22, 19, 15, 12 and 9 years. The 102-70, 25-22, 12 and 9 year cycles are attributable to solar variation, while the others are likely to be related to low-latitude ocean forcing. These results suggest that century-scale changes in the Beijing summer temperature over the past 2650 years are primarily controlled by solar variation, while ocean-atmospheric interactions play a prominent role in modulating decadal-scale variability.

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Section: Resultssupporting

confidence: 67%

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

Dai

Zhang

2011

Chin. Sci. Bull.

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“…To define the moisture sources of the EASM, many studies have focused on the relationships between the monsoon and sea surface temperature (SST) in Pacific and Indian Ocean (e.g., Shen and Lau, 1995;Zhang et al, 1996;Chang et al, 2000a,b;Wang et al, 2000;Wu and Wang, 2002;Wang and Li, 2004;Lee et al, 2005), because SST influences the atmosphere through surface heat fluxes, mainly latent heating (Wu and Newell, 1998). Shen and Lau (1995), using 1956 ∼ 85 data, found the EASM as represented by rainfall over China (but not including the Korean peninsula, Japan, and adjacent marginal seas) was positively correlated with the SST over the tropical central to eastern Pacific and the Indian Ocean in the preceding winter. During the El Niño episode of 1986/1987, the mature phase was in the northern summer and the EASM was intensified (Zhang et al, 1996).…”

Section: Introductionmentioning

confidence: 99%

Seasonal forecasting of East Asian summer monsoon based on oceanic heat sources

Lee

Chase

Rajagopalan

2007

Intl Journal of Climatology

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We use the upper-level divergence zone at 150 hPa to define the areas of study for the East Asian summer monsoon (EASM) and to show the advances and retreats of the EASM. We find that the EASM can be subdivided into a northern and southern component with distinctly different driving mechanisms. The northern EASM (NEASM) is affected by heat sources in the tropical oceans related to El Niño events while the southern EASM (SEASM) is affected by the subtropical oceans related to a North Pacific sea surface temperature (SST) dipole mode. A stronger NEASM is related to above-normal western North Pacific (WNP) anticyclonic anomalies, while a stronger SEASM is related to below-normal WNP anticyclonic anomalies. These WNP anticyclonic anomalies are connected to SST anomalies in the tropical and subtropical Pacific during the pre-monsoon season (December∼May). We also find that NEASM precipitation can be predicted from regional oceanic heat sources, i.e. SST and ocean heat content, in the tropical Pacific and Indian Oceans during the pre-monsoon season using a linear regression model. SEASM precipitation can be predicted from pre-monsoon SST in the eastern North Pacific. The NEASM forecast model is more skillful than that for the SEASM.

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“…It is pointed out that the Asian monsoon is an integral component of the climate system and that there is strong interaction between the Asian monsoon and some other components in the climate system, for instance, El Nino and the Southern Oscillation (ENSO) cycle (Yasunari, 1991). The Asian monsoon consists of three subregions: the Indian (South Asian) monsoon, the East Asian monsoon and the Southeast Asian monsoon (Shen and Lau, 1995). China and India are located in the Asian monsoon region, but belong to different subregions of the Asian monsoon such as East Asian monsoon and Indian monsoon, respectively.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Analysis of Summer Rainfall over North China and India and SOI Using 1891-1992 Data

Nitta

1996

Journal of the Meteorological Society of Japan

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Localization of interannual and decadal variations of summer rainfall in North China and India and seasonal mean Southern Oscillation Index (SOI) from , and the favored time scales of the significant correlations among them are investigated with the wavelet transform (WT) analysis method. Strong localization and non-stationary evolution in the interannual and decadal variations of the rainfall in North China and India are demonstrated. The dominating time scales in the rainfall variations in North China and India are mainly located in two time scale bands: shorter than 10 years, and 14-28 years. The correlations between the rainfall variations in North China and India are time-scale dependent. The significant positive correlations are concentrated in two time-scale bands: shorter than 7 years and longer than 14 years. The correlations are insignificant on time scales of 7-14 years.El Nino and Southern Oscillation (ENSO) cycle is a nonstationary process. The dominant time scales for the variation of SOI are shorter than 5-7 years, and the decadal variations are obvious in 1891-1915 and 1970-1992. There is strong interaction between the Indian summer monsoon and the ENSO cycle. The significant positive correlations are mainly focused on the time scales shorter than 24-30 years, and the significant negative correlations on time scales longer than 40 years in summer and winter SOI cases. The correlation between the rainfall variations in North China and the ENSO cycle in various seasons are less significant, more scattered and complex, but there are some similarities in the correlation pattern compared with that of India, especially in the shorter time scales.The calculation shows that the summer rainfall variations in North China and India at different time scales are related with different general circulation anomalous patterns in middle and high latitudes of Eurasia and the western Pacific. The correlation patterns over Eurasia and the western Pacific between the summer rainfall variations in North China or India and the geopotential height at 500hPa are similar to the correlation patterns between the geopotential height and the WT results of the rainfall on time scales of about 5 years, but different from those on time scales of about 11 years.Therefore, the similar behavior between the rainfall variations in North China and India may be caused by the similar associations between the rainfall variations and the ENSO cycle and the general circulation anomalies in middle and high latitudes over Eurasia and the western Pacific, and the difference may be related to the different character of these associations.

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Biennial Oscillation Associated with the East Asian Summer Monsoon and Tropical Sea Surface Temperatures

Cited by 191 publications

References 24 publications

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

Seasonal forecasting of East Asian summer monsoon based on oceanic heat sources

Wavelet Analysis of Summer Rainfall over North China and India and SOI Using 1891-1992 Data

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