Global Marine Heatwaves Under Different Flavors of ENSO

Abstract Marine heatwaves (MHWs) have caused devasting ecological and socioeconomic impacts worldwide. Understanding the connection of regional events to large‐scale climatic drivers is key for enhancing predictability and mitigating MHW impacts. Despite the reported connection between MHWs globally and El Niño–Southern Oscillation (ENSO), establishing statistically significant links between different types of ENSO events and MHWs remains challenging due to the limited duration of observational data. Here, we use 10,000 years of simulations from a Linear Inverse Model (LIM) to address this issue. Our findings reveal distinct connections between MHWs and ENSO, with diverging influences from different flavors of El Niño and La Niña events. In addition, under long‐lasting El Niño conditions, the likelihood of MHWs increases by up to 12‐fold in the Indian and Pacific Oceans. This study highlights the global connections between ENSO diversity and variations in MHW events.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2024-10-24
DOI
https://doi.org/10.1029/2024gl110399
Citations
15
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
4.24

Funders

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

Global Marine Heatwaves Under Different Flavors of ENSO

Antonietta Capotondi, Neil J. Holbrook, Camila Artana, Tongtong Xu et al.
15 citations
Geophysical Research Letters
Climate variability and models
4.24
article

Global Marine Heatwaves Under Different Flavors of ENSO

Antonietta Capotondi, Neil J. Holbrook, Camila Artana, Tongtong Xu, Cristian Martínez-Villalobos, Jacopo Sala, Catherine H. Gregory, Fuan Xiao, Skylar Lama, Dalena León‐FonFay
article en
15 citations

Abstract

Abstract Marine heatwaves (MHWs) have caused devasting ecological and socioeconomic impacts worldwide. Understanding the connection of regional events to large‐scale climatic drivers is key for enhancing predictability and mitigating MHW impacts. Despite the reported connection between MHWs globally and El Niño–Southern Oscillation (ENSO), establishing statistically significant links between different types of ENSO events and MHWs remains challenging due to the limited duration of observational data. Here, we use 10,000 years of simulations from a Linear Inverse Model (LIM) to address this issue. Our findings reveal distinct connections between MHWs and ENSO, with diverging influences from different flavors of El Niño and La Niña events. In addition, under long‐lasting El Niño conditions, the likelihood of MHWs increases by up to 12‐fold in the Indian and Pacific Oceans. This study highlights the global connections between ENSO diversity and variations in MHW events.

Geophysical Research LettersVol. 51(20)
University of Tasmania (AU), Georgia Institute of Technology (US), Australian Research Council (AU), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), Adolfo Ibáñez University (CL), Guangzhou University (CN), Sorbonne Université (FR), NOAA Physical Sciences Laboratory (US), Helmholtz-Zentrum Hereon (DE), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Data Observatory Foundation
National Aeronautics and Space Administration, Western Michigan University, National Jewish Health, Climate Extremes, Agencia Nacional de Investigación y Desarrollo, National Oceanic and Atmospheric Administration, Climate Program Office, Fondo Nacional de Desarrollo Científico y Tecnológico
Life below water
Openalex Percentile: Top 5%
Climate variability and models
4.24
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.