ENSO's Impacts on Southeastern Australia's Future Rainfall Risk

Abstract The El Niño‐Southern Oscillation (ENSO) importantly influences Australian rainfall variability. In southeastern Australia, La Niña is observed to cause a larger risk of high rainfall than El Niño does for low rainfall, demonstrating a non‐linear ENSO‐rainfall relationship. In this study, we first assess the ENSO‐rainfall relationship for 10 single model initial‐condition large ensembles (LEs) over the Murray‐Darling Basin. We then apply a novel Fraction of Attributable Risk framework to quantify the projected rainfall risk in this region, specifically to the five LEs that have the same ENSO‐rainfall relationship as observations. Despite no prominent change in El Niño related rainfall amount or its variability, rainfall variability increases during La Niña and neutral phases. Additionally, three out of five LEs project an increase in rainfall risk during La Niña events, with both greater variability and higher amounts of rainfall, suggesting that the La Niña‐driven rainfall impacts may worsen under a warming climate.

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-12-17
DOI
https://doi.org/10.1029/2025gl118673
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
article

ENSO's Impacts on Southeastern Australia's Future Rainfall Risk

Geophysical Research Letters
Climate variability and models
article

ENSO's Impacts on Southeastern Australia's Future Rainfall Risk

article en

Abstract

Abstract The El Niño‐Southern Oscillation (ENSO) importantly influences Australian rainfall variability. In southeastern Australia, La Niña is observed to cause a larger risk of high rainfall than El Niño does for low rainfall, demonstrating a non‐linear ENSO‐rainfall relationship. In this study, we first assess the ENSO‐rainfall relationship for 10 single model initial‐condition large ensembles (LEs) over the Murray‐Darling Basin. We then apply a novel Fraction of Attributable Risk framework to quantify the projected rainfall risk in this region, specifically to the five LEs that have the same ENSO‐rainfall relationship as observations. Despite no prominent change in El Niño related rainfall amount or its variability, rainfall variability increases during La Niña and neutral phases. Additionally, three out of five LEs project an increase in rainfall risk during La Niña events, with both greater variability and higher amounts of rainfall, suggesting that the La Niña‐driven rainfall impacts may worsen under a warming climate.

Geophysical Research LettersVol. 52(24)
Australian National University (AU), Cornell University (US), Monash University (AU)
Climate action
Openalex Percentile: Top 38%
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.