{"title":"了解La三倾Niñas背后的驱动机制:从预测角度的见解","authors":"Han-Ching Chen, Yu-Heng Tseng, Jo-Hsu Huang, Ping-Han Juang","doi":"10.1038/s41612-025-01004-0","DOIUrl":null,"url":null,"abstract":"<p>This study investigates the mechanisms and predictability of multi-year La Niña events, focusing on the 1998–2001 and 2020–2023 triple-dip events, using a physically based statistical ENSO prediction model (EPM). The results highlight distinct driving mechanisms behind these two events. The 1998–2001 event was primarily initiated by substantial negative heat content anomalies in the equatorial Pacific, which resulted from the preceding strong El Niño. These negative heat content anomalies played a crucial role in sustaining cold sea surface temperature anomalies (SSTA) into the third year. In contrast, the 2020–2023 event, which lacked significant negative heat content anomalies, was characterized by persistent equatorial easterly wind anomalies induced by extratropical forcing from the Southern Hemisphere. The EPM successfully captures these differences, with tropical ocean-atmosphere coupling being the dominant factor in predictability for 1998–2001, especially during the second year, whereas extratropical forcing played a key role in improving forecasts for 2020–2023. These findings highlight the importance of incorporating extratropical influences to enhance the prediction skill of multi-year La Niña events, especially those with atypical tropical precursors.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"74 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the driving mechanisms behind triple-dip La Niñas: insights from the prediction perspective\",\"authors\":\"Han-Ching Chen, Yu-Heng Tseng, Jo-Hsu Huang, Ping-Han Juang\",\"doi\":\"10.1038/s41612-025-01004-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study investigates the mechanisms and predictability of multi-year La Niña events, focusing on the 1998–2001 and 2020–2023 triple-dip events, using a physically based statistical ENSO prediction model (EPM). The results highlight distinct driving mechanisms behind these two events. The 1998–2001 event was primarily initiated by substantial negative heat content anomalies in the equatorial Pacific, which resulted from the preceding strong El Niño. These negative heat content anomalies played a crucial role in sustaining cold sea surface temperature anomalies (SSTA) into the third year. In contrast, the 2020–2023 event, which lacked significant negative heat content anomalies, was characterized by persistent equatorial easterly wind anomalies induced by extratropical forcing from the Southern Hemisphere. The EPM successfully captures these differences, with tropical ocean-atmosphere coupling being the dominant factor in predictability for 1998–2001, especially during the second year, whereas extratropical forcing played a key role in improving forecasts for 2020–2023. These findings highlight the importance of incorporating extratropical influences to enhance the prediction skill of multi-year La Niña events, especially those with atypical tropical precursors.</p>\",\"PeriodicalId\":19438,\"journal\":{\"name\":\"npj Climate and Atmospheric Science\",\"volume\":\"74 1\",\"pages\":\"\"},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2025-04-16\",\"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/s41612-025-01004-0\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01004-0","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}
Understanding the driving mechanisms behind triple-dip La Niñas: insights from the prediction perspective
This study investigates the mechanisms and predictability of multi-year La Niña events, focusing on the 1998–2001 and 2020–2023 triple-dip events, using a physically based statistical ENSO prediction model (EPM). The results highlight distinct driving mechanisms behind these two events. The 1998–2001 event was primarily initiated by substantial negative heat content anomalies in the equatorial Pacific, which resulted from the preceding strong El Niño. These negative heat content anomalies played a crucial role in sustaining cold sea surface temperature anomalies (SSTA) into the third year. In contrast, the 2020–2023 event, which lacked significant negative heat content anomalies, was characterized by persistent equatorial easterly wind anomalies induced by extratropical forcing from the Southern Hemisphere. The EPM successfully captures these differences, with tropical ocean-atmosphere coupling being the dominant factor in predictability for 1998–2001, especially during the second year, whereas extratropical forcing played a key role in improving forecasts for 2020–2023. These findings highlight the importance of incorporating extratropical influences to enhance the prediction skill of multi-year La Niña events, especially those with atypical tropical precursors.
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.