Variation in the Impact of ENSO on the Western Pacific Pattern Influenced by ENSO Amplitude in CMIP6 Simulations

Hasi Aru, Wen Chen*, Shangfeng Chen, Chaim I. Garfinkel, Tianjiao Ma, Zizhen Dong, Peng Hu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Western Pacific pattern (WP) is one of the most consequential atmospheric teleconnections during boreal winter, as it profoundly influences weather extremes and climate variability across Eurasia and North America. The El Niño-Southern Oscillation (ENSO) is suggested to be a crucial external forcing of WP variability. In this study, we meticulously evaluated the capability of 56 coupled climate models from the Coupled Model Intercomparison Project 6th phase (CMIP6) in replicating the winter ENSO-WP connection. Our results reveal notable diversities in the portrayal of the winter ENSO-WP relation across CMIP6 models. This model diversity in the ENSO-WP connections primarily stems from the spread of the models' simulated ENSO amplitude. Specifically, models with enhanced ENSO amplitudes exhibit intensified sea surface temperature (SST) anomalies in the equatorial central-eastern Pacific. This enhancement of SST anomalies faciliates stronger atmospheric convective anomalies, especially in the extratropical eastern Pacific and the tropical western North Pacific. Of particular note is the intensified atmospheric convective anomalies in the tropical western North Pacific, which exert a pivotal role in shaping the WP through initiating a distinct atmospheric teleconnection pattern.

Original languageAmerican English
Article numbere2022JD037905
JournalJournal of Geophysical Research: Atmospheres
Volume128
Issue number22
DOIs
StatePublished - 27 Nov 2023

Bibliographical note

Publisher Copyright:
© 2023. American Geophysical Union. All Rights Reserved.

Fingerprint

Dive into the research topics of 'Variation in the Impact of ENSO on the Western Pacific Pattern Influenced by ENSO Amplitude in CMIP6 Simulations'. Together they form a unique fingerprint.

Cite this