Jae-Heung Park, Young-Min Yang, Yoo-Geun Ham, Hyun-Su Jo, Hyo-Jin Park, So-Eun Park, Chao Liu, Gagan Mandal, Soon-Il An, Jong-Seong Kug
{"title":"Significant winter Atlantic Niño effect on ENSO and its future projection","authors":"Jae-Heung Park, Young-Min Yang, Yoo-Geun Ham, Hyun-Su Jo, Hyo-Jin Park, So-Eun Park, Chao Liu, Gagan Mandal, Soon-Il An, Jong-Seong Kug","doi":"10.1038/s41612-024-00790-3","DOIUrl":null,"url":null,"abstract":"The Atlantic Niño, a primary climatic variability mode in the equatorial Atlantic Ocean, exhibits pronounced variability not only in boreal summer but also in winter. However, the role of the winter Atlantic Niño in trans-basin interactions remains underexplored compared to its summer counterpart. Through analysis of observational reanalysis data since the mid-twentieth century, here we found that the winter Atlantic Niño significantly influences the development of El Niño–Southern Oscillation (ENSO), surpassing the impact of summer Atlantic Niño, with a longer lead time. This effect is reasonably captured in the CMIP6 Historical simulations from a multi-model ensemble perspective. Further analysis of the global warming scenario projects that the influence of winter Atlantic Niño on ENSO will persist into the future, in contrast to the reduced impact of summer Atlantic Niño. Therefore, these findings underscore the importance of further investigating the winter Atlantic Niño to gain a comprehensive understanding of trans-basin interactions and their future changes.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":" ","pages":"1-8"},"PeriodicalIF":8.5000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41612-024-00790-3.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://www.nature.com/articles/s41612-024-00790-3","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
The Atlantic Niño, a primary climatic variability mode in the equatorial Atlantic Ocean, exhibits pronounced variability not only in boreal summer but also in winter. However, the role of the winter Atlantic Niño in trans-basin interactions remains underexplored compared to its summer counterpart. Through analysis of observational reanalysis data since the mid-twentieth century, here we found that the winter Atlantic Niño significantly influences the development of El Niño–Southern Oscillation (ENSO), surpassing the impact of summer Atlantic Niño, with a longer lead time. This effect is reasonably captured in the CMIP6 Historical simulations from a multi-model ensemble perspective. Further analysis of the global warming scenario projects that the influence of winter Atlantic Niño on ENSO will persist into the future, in contrast to the reduced impact of summer Atlantic Niño. Therefore, these findings underscore the importance of further investigating the winter Atlantic Niño to gain a comprehensive understanding of trans-basin interactions and their future changes.
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.