{"title":"基于 CAMS-CSM 副季节预报系统结果的 MJO 副季节预报中各集合成员预报技能的分类分析","authors":"Yihao Peng, Xiaolei Liu, Jingzhi Su, Xinli Liu","doi":"10.1016/j.aosl.2024.100469","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":505561,"journal":{"name":"Atmospheric and Oceanic Science Letters","volume":"87 15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classification analysis of prediction skill among ensemble members in MJO subseasonal predictions—based on the results of the CAMS-CSM subseasonal prediction system\",\"authors\":\"Yihao Peng, Xiaolei Liu, Jingzhi Su, Xinli Liu\",\"doi\":\"10.1016/j.aosl.2024.100469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":505561,\"journal\":{\"name\":\"Atmospheric and Oceanic Science Letters\",\"volume\":\"87 15\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric and Oceanic Science Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.aosl.2024.100469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric and Oceanic Science Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.aosl.2024.100469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification analysis of prediction skill among ensemble members in MJO subseasonal predictions—based on the results of the CAMS-CSM subseasonal prediction system