Decline in Atlantic Niño prediction skill in the North American multi-model ensemble

The Atlantic Niño has attracted considerable attention due to its profound climatic impacts. It has been reported that the strength of Atlantic Niño has been weakening since 2000, but it is not clear whether it would lead to a change in Atlantic Niño prediction skill. Here we find a dramatic decline in Atlantic Niño prediction skill since 2000 by evaluating the predictions of the North American Multi-Model Ensemble. The prediction skill decline is mainly associated with a climatic regime shift, which leads to a weakened El Niño-Southern Oscillation (ENSO) teleconnection to the sea surface temperature anomaly dipole mode over the South Atlantic. A systematic model deficiency may amplify the prediction skill decline. This study offers insights for understanding the Atlantic Niño predictability and for improving the simulation and prediction of Atlantic Niño events. Prediction skill of the Atlantic Niño has declined over the past two decades as a result of a weakened teleconnection with El Niño/Southern Oscillation, which is amplified by a systematic model deficiency, suggest analyses of the North American multi-model ensemble simulations.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2024-09-20
DOI
https://doi.org/10.1038/s43247-024-01693-0
Citations
4
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.13

Funders

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

Decline in Atlantic Niño prediction skill in the North American multi-model ensemble

Zheqi Shen, Yihao Chen, Qingyang Song, Youmin Tang et al.
4 citations
Communications Earth & Environment
Climate variability and models
1.13
article

Decline in Atlantic Niño prediction skill in the North American multi-model ensemble

Zheqi Shen, Yihao Chen, Qingyang Song, Youmin Tang, Xiaoqin Yan, Yanling Wu
article en
4 citations

Abstract

The Atlantic Niño has attracted considerable attention due to its profound climatic impacts. It has been reported that the strength of Atlantic Niño has been weakening since 2000, but it is not clear whether it would lead to a change in Atlantic Niño prediction skill. Here we find a dramatic decline in Atlantic Niño prediction skill since 2000 by evaluating the predictions of the North American Multi-Model Ensemble. The prediction skill decline is mainly associated with a climatic regime shift, which leads to a weakened El Niño-Southern Oscillation (ENSO) teleconnection to the sea surface temperature anomaly dipole mode over the South Atlantic. A systematic model deficiency may amplify the prediction skill decline. This study offers insights for understanding the Atlantic Niño predictability and for improving the simulation and prediction of Atlantic Niño events. Prediction skill of the Atlantic Niño has declined over the past two decades as a result of a weakened teleconnection with El Niño/Southern Oscillation, which is amplified by a systematic model deficiency, suggest analyses of the North American multi-model ensemble simulations.

Communications Earth & EnvironmentVol. 5(1)
University of Northern British Columbia (CA), Hohai University (CN), Ministry of Natural Resources (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 23%
Climate variability and models
1.13
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.

Decline in Atlantic Niño prediction skill in the North American multi-model ensemble — Zheqi Shen, Yihao Chen, et al. · Communications Earth & Environment (2024) | TGRS Research Map | TGRS