Dip-scanning coherence algorithm using eigenstructure analysis and supertracetechnique, G<scp>EOPHYSICS</scp>, 71, no. 3, V61–V66

Li, Yandong; Lu, Wenkai; Xiao, Hanguang; Zhang, Shanwen; Yanda, LI

doi:10.1190/gpysa7.72.y1_1

Cited by 3 publications

(5 citation statements)

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confidence: 99%

“…Teleconnections refer to persistent relations between climate anomalies of geographically separated regions [1][2][3][4][5]. Atmospheric or oceanic teleconnections dominate the climate variability on different time and spatial scales [1]. Teleconnections received much attention since they stand for the transport of energy and the climate dynamics on global scales (typically thousands of kilometers); as such they probably have an important role in global climate change and variability [1,6].…”

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confidence: 99%

“…Various teleconnection patterns represent different preferred modes of large scale variability, in both the tropics and the extratropics [1,2,7]. These patterns can be captured by various methods, such as teleconnection maps based on Pearson correlation (linear) or mutual information (nonlinear), and principal component analysis [2,8].…”

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confidence: 99%

“…These patterns can be captured by various methods, such as teleconnection maps based on Pearson correlation (linear) or mutual information (nonlinear), and principal component analysis [2,8]. The most prominent atmospheric patterns include the El Niño-Southern Oscillation (ENSO), the Arctic Oscillation (AO), the North Atlantic Oscillation (NAO), the North Pacific Oscillation-West Pacific pattern (NPO-WP), the Pacific-North America pattern (PNA), the Southern Annular Mode (SAM) and the Pacific-South American pattern (PSA) [1,2,7,[9][10][11][12]. Some of these patterns influence each other such as the teleconnections that are related to ENSO [1,2,6].…”

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confidence: 99%

“…Generally speaking, most teleconnections are caused by the transport of energy and propagation of waves [1]. However, the mechanisms of specific teleconnections are still not well understood, since these known patterns describe the mature phase of the variability instead of the developing phase [2].…”

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confidence: 99%

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Teleconnection Paths via Climate Network Direct Link Detection

et al. 2015

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Teleconnections describe remote connections (typically thousands of kilometers) of the climate system. These are of great importance in climate dynamics as they reflect the transportation of energy and climate change on global scales (like the El Niño phenomenon). Yet, the path of influence propagation between such remote regions, and weighting associated with different paths, are only partially known. Here we propose a systematic climate network approach to find and quantify the optimal paths between remotely distant interacting locations. Specifically, we separate the correlations between two grid points into direct and indirect components, where the optimal path is found based on a minimal total cost function of the direct links. We demonstrate our method using near surface air temperature reanalysis data, on identifying cross-latitude teleconnections and their corresponding optimal paths. The proposed method may be used to quantify and improve our understanding regarding the emergence of climate patterns on global scales.

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confidence: 99%