Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions

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作者
Tim Kittel
Catrin Ciemer
Nastaran Lotfi
Thomas Peron
Francisco Rodrigues
Jürgen Kurths
Reik V. Donner
机构
[1] Potsdam Institute for Climate Impact Research (PIK) - Member of the Leibniz Association,Research Department IV
[2] Humboldt University Berlin, Complexity Science
[3] University of São Paulo,Department of Physics
[4] Nizhny Novgorod State University,Institute of Mathematics and Computer Science
[5] Magdeburg-Stendal University of Applied Science,Department of Control Theory
[6] Potsdam Institute for Climate Impact Research (PIK) - Member of the Leibniz Association,Department of Water, Environment, Construction and Safety
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摘要
Episodically occurring internal (climatic) and external (non-climatic) disruptions of normal climate variability are known to both affect spatio-temporal patterns of global surface air temperatures (SAT) at time-scales between multiple weeks and several years. The magnitude and spatial manifestation of the corresponding effects depend strongly on the specific type of perturbation and may range from weak spatially coherent yet regionally confined trends to a global reorganization of co-variability due to the excitation or inhibition of certain large-scale teleconnectivity patterns. Here, we employ functional climate network analysis to distinguish qualitatively the global climate responses to different phases of the El Niño–Southern Oscillation (ENSO) from those to the three largest volcanic eruptions since the mid-20th century as the two most prominent types of recurrent climate disruptions. Our results confirm that strong ENSO episodes can cause a temporary breakdown of the normal hierarchical organization of the global SAT field, which is characterized by the simultaneous emergence of consistent regional temperature trends and strong teleconnections. By contrast, the most recent strong volcanic eruptions exhibited primarily regional effects rather than triggering additional long-range teleconnections that would not have been present otherwise. By relying on several complementary network characteristics, our results contribute to a better understanding of climate network properties by differentiating between climate variability reorganization mechanisms associated with internal variability versus such triggered by non-climatic abrupt and localized perturbations.
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页码:3075 / 3100
页数:25
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