A climate network-based index to discriminate different types of El Ni\~no and La Ni\~na

TL;DR

This paper introduces a climate network-based index that objectively distinguishes between Eastern Pacific and Central Pacific El Niño types by analyzing teleconnection patterns, and extends this method to classify La Niña episodes.

Contribution

The study presents a novel scalar-valued climate network measure for discriminating El Niño types, accounting for global impacts and improving classification accuracy over previous methods.

Findings

Index peaks during EP events indicating high localization

Index remains baseline during CP events indicating dispersion

Effective classification of El Niño and La Niña types from 1951 to 2014

Abstract

El Ni\~no 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 evolving climate network measure that quantifies spatial localization and dispersion in El Ni\~no's associated teleconnections. Our index displays a sharp peak (high localization) during EP events, whereas during CP events (larger dispersion) it remains close to the baseline observed during normal periods. In contrast to previous classification schemes, our approach specifically account for El Ni\~no's global impacts. We confirm recent El Ni\~no classifications for the years 1951 to 2014 and assign types to those cases were former works yielded ambiguous results. Ultimately, we study La Ni\~na episodes and demonstrate that our index provides a similar discrimination into two types.