Spring Westerly Winds Shape Early Precursors of El Niño Diversity Across the Spring Predictability Barrier

Abstract Predicting El Niño diversity, specifically the distinction between Eastern Pacific (EP) and Central Pacific (CP) events, remains challenging due to the boreal spring predictability barrier (SPB) and the inconsistent detection inherent in discrete wind‐burst metrics. Here, we present a five‐phase precursor scheme that tracks the monthly evolution of equatorial westerly wind anomalies over 12 months, using wind intensity and spatial centroid metrics from the 1980–2024 reanalysis data. EP and CP precursors diverge as early as boreal spring, when EP‐type wind intensity significantly surpasses CP‐type intensity, whereas CP‐type winds shift anomalously eastward. Spatial composites further reveal an intensity‐position trade‐off governing Kelvin wave excitation, in which stronger wind intensity in EP events compensates for their less favorable, more westward locations. Conversely, meridional centroid tracking fails to discriminate event types until boreal winter. These findings provide a physically interpretable precursor signal for anticipating El Niño within the SPB.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-11-11
DOI
https://doi.org/10.1029/2026gl126234
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Spring Westerly Winds Shape Early Precursors of El Niño Diversity Across the Spring Predictability Barrier

Jing Tian Lim, Quanan Zheng, Chung‐Ru Ho, Hung ‐Jen Lee
Geophysical Research Letters
Climate variability and models
article

Spring Westerly Winds Shape Early Precursors of El Niño Diversity Across the Spring Predictability Barrier

Jing Tian Lim, Quanan Zheng, Chung‐Ru Ho, Hung ‐Jen Lee
article en

Abstract

Abstract Predicting El Niño diversity, specifically the distinction between Eastern Pacific (EP) and Central Pacific (CP) events, remains challenging due to the boreal spring predictability barrier (SPB) and the inconsistent detection inherent in discrete wind‐burst metrics. Here, we present a five‐phase precursor scheme that tracks the monthly evolution of equatorial westerly wind anomalies over 12 months, using wind intensity and spatial centroid metrics from the 1980–2024 reanalysis data. EP and CP precursors diverge as early as boreal spring, when EP‐type wind intensity significantly surpasses CP‐type intensity, whereas CP‐type winds shift anomalously eastward. Spatial composites further reveal an intensity‐position trade‐off governing Kelvin wave excitation, in which stronger wind intensity in EP events compensates for their less favorable, more westward locations. Conversely, meridional centroid tracking fails to discriminate event types until boreal winter. These findings provide a physically interpretable precursor signal for anticipating El Niño within the SPB.

Geophysical Research LettersVol. 53(22)
National Taiwan Ocean University (TW), University of Maryland, College Park (US)
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon