{"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}
引用次数: 0
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.