The Association between the North Atlantic Oscillation and the Southern Oscillation in the Northern Hemisphere

Rogers, Jeffrey C.

doi:10.1175/1520-0493(1984)112<1999:tabtna>2.0.co;2

Cited by 605 publications

(436 citation statements)

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“…The signi®cativity of the cross-correlation was established from the Barlett test (1955). In concordance with other studies (Rogers, 1984) correlations were poor, none of them being signi®cant. This seems to suggest that SO index prior to winter is not signi®cantly associated to the winter NAO index.…”

Section: Cross-correlation Between Nao and So Indicessupporting

confidence: 91%

“…Van Loon and Madden (1981) considered that at the times when SO in¯uences the North Atlantic many other e ects can also be involved. Rogers (1984) did not ®nd any simultaneous occurrence of particular modes of one oscillation with those of the other. Barnett (1985) showed orthogonality of the NAO and SO, and Yasumari and Seki (1992) found that NAO plays a crucial role in the timing of the occurrence of the ENSO event.…”

Section: Previous Studiesmentioning

confidence: 87%

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Letter to the editor: Are the North Atlantic Oscillation and the Southern Oscillation related in any time-scale?

et al. 2000

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Abstract. The North Atlantic Oscillation (NAO) and the Southern Oscillation (SO) are compared from the standpoint of a possible common temporal scale of oscillation. To do this a cross-spectrum of the temporal series of NAO and SO indices was determined, ®nding a signi®cant common oscillation of 6±8 years. To assure this ®nding, both series were decomposed in their main oscillations using singular spectrum analysis (SSA). Resulting reconstructed series of 6±8 years' oscillation were then cross-correlated without and with pre-whitened, the latter being signi®cant. The main conclusion is a possible relationship between a common oscillation of 6±8 years that represents about 20% of the SO variance and about 25% of the NAO variance.

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Section: Cross-correlation Between Nao and So Indicessupporting

confidence: 91%

Section: Previous Studiesmentioning

confidence: 87%

Letter to the editor: Are the North Atlantic Oscillation and the Southern Oscillation related in any time-scale?

et al. 2000

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“…Climatic Change 60: 189-216, 2003.(NAO) (Rogers, 1984), and to features of the Atlantic subtropical circulation such as the Bermuda High (BH) (Stahle and Cleaveland, 1992).…”

Section: And the North Atlantic Oscillationmentioning

confidence: 99%

Stochastic Modeling of the Effects of Large-Scale Circulation on Daily Weather in the Southeastern U.S.

Katz

Parlange

Tebaldi

2003

Issues in the Impacts of Climate Variability and Change on Agriculture

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Abstract. Statistical methodology is devised to model time series of daily weather at individual locations in the southeastern U.S. conditional on patterns in large-scale atmosphere-ocean circulation. In this way, weather information on an appropriate temporal and spatial scale for input to crop-climate models can be generated, consistent with the relationship between circulation and temporally and/or spatially aggregated climate data (an exercise sometimes termed 'downscaling'). The Bermuda High, a subtropical Atlantic circulation feature, is found to have the strongest contemporaneous correlation with seasonal mean temperature and total precipitation in the Southeast (in particular, stronger than for the El Niño-Southern Oscillation phenomenon). Stochastic models for time series of daily minimum and maximum temperature and precipitation amount are fitted conditional on an index indicating the average position of the Bermuda High. For precipitation, a multi-site approach involving a statistical technique known as 'borrowing strength' is applied, constraining the relationship between daily precipitation and the Bermuda High index to be spatially the same. In winter (the time of greatest correlation), higher daily maximum and minimum temperature means and higher daily probability of occurrence of precipitation are found when there is an easterly shift in the average position of the Bermuda High. Methods for determining aggregative properties of these stochastic models for daily weather (e.g., variance and spatial correlation of seasonal total precipitation) are also described, so that their performance in representing low frequency variations can be readily evaluated.

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“…Despite this fact, its behavior in the low-frequency range and the dynamics behind it are not fully understood yet (Greatbatch 2000;Wanner et al 2001;Marshall et al 2001). Observational data from the nineteenth to the late twentieth century show that the spectral characteristics of the NAO index (NAOI), that is, the difference between the southern high pressure and the northern low pressure centers (for definitions see Jones et al 1997;Hurrell 1995;Rogers 1984;Luterbacher et al 2002;hereafter LUT), indicate a rather white spectrum with some reddening in the late twentieth century (Hurrell and van Loon 1997;Jung 2000;Pozo-Vázquez et al 2001). However, the shortness of the instrumental records limits the statistical confidence.…”

Section: Introductionmentioning

confidence: 99%

Scale-Dependent Reconstruction of the NAO Index

Timm¹,

Ruprecht²,

Kleppek³

2004

J. Climate

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A method is presented to reconstruct decadal variations of the North Atlantic Oscillation (NAO). The spectral characteristics of the NAO on time scales of decades and longer are of particular interest for the understanding of North Atlantic ocean-atmosphere interactions. The reconstruction is based on a transfer model calibration that uses bandpass-filtered time series. The maximum overlap discrete wavelet transform (MODWT) is applied for decomposing the time series variance into different time scales. A total of 43 proxies, including Greenland ice cores and European tree-ring chronologies, are selected and regionally grouped providing four independent reconstructions for the period 1700-1978. The mean reconstruction agrees well with two recently published reconstructions during most of the time period. However, there are considerable differences in the earliest part before 1750. Running correlations between the reconstructions indicate that time-dependent relations exist among the different NAO reconstructions. The results suggest that the geographical distribution of proxies strongly affects the reconstruction and could explain some of the apparent discrepancies among the reconstructions recently published in literature. In the early eighteenth century, external forcing (solar, volcanic) seems to mask the NAO signature within the proxies.

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The Association between the North Atlantic Oscillation and the Southern Oscillation in the Northern Hemisphere

Cited by 605 publications

References 0 publications

Letter to the editor: Are the North Atlantic Oscillation and the Southern Oscillation related in any time-scale?

Letter to the editor: Are the North Atlantic Oscillation and the Southern Oscillation related in any time-scale?

Stochastic Modeling of the Effects of Large-Scale Circulation on Daily Weather in the Southeastern U.S.

Scale-Dependent Reconstruction of the NAO Index

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