{"title":"How Did We Miss 20% of Greenland’s Ice Loss?","authors":"K. Cartier","doi":"10.1029/2024eo240056","DOIUrl":null,"url":null,"abstract":"The ice loss was hidden in places existing monitoring methods can’t reach, such as hard-to-map fjords. Machine learning helped scientist revise mass loss estimates and uncover patterns in glacial retreat.","PeriodicalId":507149,"journal":{"name":"Eos","volume":"305 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1029/2024eo240056","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
The ice loss was hidden in places existing monitoring methods can’t reach, such as hard-to-map fjords. Machine learning helped scientist revise mass loss estimates and uncover patterns in glacial retreat.