{"title":"Insights into contrasting ENSO influence on SST variations off Australia’s southeast and west coasts","authors":"Zeya Li, Xuebin Zhang, Neil J. Holbrook","doi":"10.1038/s41612-025-01068-y","DOIUrl":null,"url":null,"abstract":"<p>El Niño–Southern Oscillation (ENSO) affects sea surface temperatures (SSTs) around the world with varying degrees of influence. Dynamical understanding of global SST responses to ENSO has progressed substantially, but is far from complete. We propose a novel modelling approach, and use it to investigate why SSTs along Australia’s southeast coast are modulated by ENSO much less strongly than along Australia’s west coast. Combining tropical Pacific pacemaker ensemble simulations and ocean model perturbation experiments, this modelling approach identifies and compares the contributions of different mechanisms for the two regions. Off Australia’s west coast, the strong ENSO signature in SST variability is dominated by remote tropical Pacific ENSO-driven wind stress forcing via oceanic teleconnections, with smaller contributions from non-ENSO climate variability. However, off the southeast coast, the contribution from remote tropical Pacific ENSO-driven wind stress forcing is largely offset by the thermodynamic ENSO-driven buoyancy forcing locally within the Coral and Tasman Sea. This resultant weak ENSO signature in SST is further weakened by non-ENSO climate variability.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"39 1","pages":""},"PeriodicalIF":8.4000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01068-y","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
El Niño–Southern Oscillation (ENSO) affects sea surface temperatures (SSTs) around the world with varying degrees of influence. Dynamical understanding of global SST responses to ENSO has progressed substantially, but is far from complete. We propose a novel modelling approach, and use it to investigate why SSTs along Australia’s southeast coast are modulated by ENSO much less strongly than along Australia’s west coast. Combining tropical Pacific pacemaker ensemble simulations and ocean model perturbation experiments, this modelling approach identifies and compares the contributions of different mechanisms for the two regions. Off Australia’s west coast, the strong ENSO signature in SST variability is dominated by remote tropical Pacific ENSO-driven wind stress forcing via oceanic teleconnections, with smaller contributions from non-ENSO climate variability. However, off the southeast coast, the contribution from remote tropical Pacific ENSO-driven wind stress forcing is largely offset by the thermodynamic ENSO-driven buoyancy forcing locally within the Coral and Tasman Sea. This resultant weak ENSO signature in SST is further weakened by non-ENSO climate variability.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.