{"title":"利用海温模式非线性来理解2100年后的气候变化","authors":"Kai Yang","doi":"10.1038/s43017-025-00721-7","DOIUrl":null,"url":null,"abstract":"Sea surface temperature response patterns to persistent greenhouse gas forcing are fundamentally nonlinear, contributing to uncertainties in long-term climate projections. A nonlinear framework is required for evaluating future climate changes under greenhouse warming.","PeriodicalId":18921,"journal":{"name":"Nature Reviews Earth & Environment","volume":"6 10","pages":"627-628"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Embrace SST pattern nonlinearity to understand post-2100 climate changes\",\"authors\":\"Kai Yang\",\"doi\":\"10.1038/s43017-025-00721-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sea surface temperature response patterns to persistent greenhouse gas forcing are fundamentally nonlinear, contributing to uncertainties in long-term climate projections. A nonlinear framework is required for evaluating future climate changes under greenhouse warming.\",\"PeriodicalId\":18921,\"journal\":{\"name\":\"Nature Reviews Earth & Environment\",\"volume\":\"6 10\",\"pages\":\"627-628\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Earth & Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43017-025-00721-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Earth & Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43017-025-00721-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Embrace SST pattern nonlinearity to understand post-2100 climate changes
Sea surface temperature response patterns to persistent greenhouse gas forcing are fundamentally nonlinear, contributing to uncertainties in long-term climate projections. A nonlinear framework is required for evaluating future climate changes under greenhouse warming.
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