{"title":"更正“热带和温带预测器对长导El Niño-Southern振荡预测的有效性:使用机器学习算法的研究”","authors":"","doi":"10.1002/joc.8909","DOIUrl":null,"url":null,"abstract":"<p>W.-J. Song, J.-Y. Yu, and T. Lian, “The Efficacy of Tropical and Extratropical Predictors for Long-Lead El Niño-Southern Oscillation Prediction: A Study Using a Machine Learning Algorithm,” <i>International Journal of Climatology</i> 43, no. 14 (2023): 6887–6899, https://doi.org/10.1002/joc.8241.</p><p>The second affiliation of Wan-Jiao Song and the first affiliation of Tao Lian should read as State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China. <b>Ministry of Natural Resources</b> has been added.</p><p>We apologize for this error.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 10","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8909","citationCount":"0","resultStr":"{\"title\":\"Correction to “The Efficacy of Tropical and Extratropical Predictors for Long-Lead El Niño-Southern Oscillation Prediction: A Study Using a Machine Learning Algorithm”\",\"authors\":\"\",\"doi\":\"10.1002/joc.8909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>W.-J. Song, J.-Y. Yu, and T. Lian, “The Efficacy of Tropical and Extratropical Predictors for Long-Lead El Niño-Southern Oscillation Prediction: A Study Using a Machine Learning Algorithm,” <i>International Journal of Climatology</i> 43, no. 14 (2023): 6887–6899, https://doi.org/10.1002/joc.8241.</p><p>The second affiliation of Wan-Jiao Song and the first affiliation of Tao Lian should read as State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China. <b>Ministry of Natural Resources</b> has been added.</p><p>We apologize for this error.</p>\",\"PeriodicalId\":13779,\"journal\":{\"name\":\"International Journal of Climatology\",\"volume\":\"45 10\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8909\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Climatology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.8909\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climatology","FirstCategoryId":"89","ListUrlMain":"https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.8909","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Correction to “The Efficacy of Tropical and Extratropical Predictors for Long-Lead El Niño-Southern Oscillation Prediction: A Study Using a Machine Learning Algorithm”
W.-J. Song, J.-Y. Yu, and T. Lian, “The Efficacy of Tropical and Extratropical Predictors for Long-Lead El Niño-Southern Oscillation Prediction: A Study Using a Machine Learning Algorithm,” International Journal of Climatology 43, no. 14 (2023): 6887–6899, https://doi.org/10.1002/joc.8241.
The second affiliation of Wan-Jiao Song and the first affiliation of Tao Lian should read as State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China. Ministry of Natural Resources has been added.
期刊介绍:
The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions