Revisiting ENSO Regime Shift Around 2000: A Perspective From Recharge Oscillator‐Based Linear Inverse Model

Abstract Classic Recharge Oscillator (RO) studies typically rely on spatially averaged indices, which capture the temporal characteristics of ENSO mode but provide limited information on its spatial structure. To address this limitation, a Recharge Oscillator‐based Linear Inverse Model (RO–LIM) was developed by embedding the recharge–discharge physics of ENSO into a data‐driven framework, enabling simultaneous diagnosis of its linear stability and spatial structure. Applied to reanalysis data, RO–LIM identifies a damped ENSO mode (decay rate of 0.29 years −1 ) for 1980–2023. After 2000, ENSO became more strongly damped (0.4 years −1 ) and transitioned from an eastward‐propagating eastern‐Pacific type to a westward‐propagating central‐Pacific or mixed type. This regime shift arises from weakened thermocline‐wind coupling but strengthened zonal current‐wind coupling under a La Niña‐like mean‐state change with enhanced trades and a steeper thermocline. RO–LIM provides a physically grounded and quantitative tool for diagnosing ENSO stability, spatial diversity, and their modulation by slow mean‐state change.

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-05-19
DOI
https://doi.org/10.1029/2025gl121498
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revisiting ENSO Regime Shift Around 2000: A Perspective From Recharge Oscillator‐Based Linear Inverse Model

Geophysical Research Letters
Oceanographic and Atmospheric Processes
article

Revisiting ENSO Regime Shift Around 2000: A Perspective From Recharge Oscillator‐Based Linear Inverse Model

article en

Abstract

Abstract Classic Recharge Oscillator (RO) studies typically rely on spatially averaged indices, which capture the temporal characteristics of ENSO mode but provide limited information on its spatial structure. To address this limitation, a Recharge Oscillator‐based Linear Inverse Model (RO–LIM) was developed by embedding the recharge–discharge physics of ENSO into a data‐driven framework, enabling simultaneous diagnosis of its linear stability and spatial structure. Applied to reanalysis data, RO–LIM identifies a damped ENSO mode (decay rate of 0.29 years −1 ) for 1980–2023. After 2000, ENSO became more strongly damped (0.4 years −1 ) and transitioned from an eastward‐propagating eastern‐Pacific type to a westward‐propagating central‐Pacific or mixed type. This regime shift arises from weakened thermocline‐wind coupling but strengthened zonal current‐wind coupling under a La Niña‐like mean‐state change with enhanced trades and a steeper thermocline. RO–LIM provides a physically grounded and quantitative tool for diagnosing ENSO stability, spatial diversity, and their modulation by slow mean‐state change.

Geophysical Research LettersVol. 53(10)
Qingdao National Laboratory for Marine Science and Technology (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China
Life below water
Openalex Percentile: Top 6%
Oceanographic and Atmospheric Processes
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.