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El Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures in equatorial climate variability. Here we propose an index based on evolving climate networks to objectively discriminate between both flavors by utilizing a scalar-valued measure that quantifies spatial localization and dispersion in global teleconnections of surface air temperature. Our index displays a sharp peak (high localization) during EP events, whereas during CP events (larger dispersion) it remains close to the values observed during normal periods. In contrast to previous classification schemes, our approach specifically accounts for El Niño's global impacts. We confirm recent El Niño classifications for the years 1951 to 2014 and assign types to those cases where former works yielded ambiguous results. Ultimately, we demonstrate that our index provides a similar discrimination of La Niña episodes into two distinct types.
General news | 2017-12-12
See video from eminar with Professor Rashid Sumaila, one of the world’s most innovative researchers on the future of the oceans
Research news | 2017-11-30
The PECS-II conference showcased place-based research and how it can help us work towards global sustainability in the Anthropocene
Research news | 2017-11-28
How urban greening and civic ecology projects can improve human well-being and restore crucial ecosystem services
Research news | 2017-11-27
What plantain farmers in Costa Rica can teach us about the inconsistent links between access to ecosystem services and well-being
Research news | 2017-11-23
Centre science director well established among world’s most top-cited and influential scientists
Research news | 2017-11-21
Large-scale changes in Arctic marine food web can be expected within 50 years, some good, but in the long run several critical