{"title":"Rivers Are Warming Up and Losing Oxygen","authors":"Elise Cutts","doi":"10.1029/2023eo230416","DOIUrl":null,"url":null,"abstract":"Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.","PeriodicalId":11945,"journal":{"name":"Eos, Transactions American Geophysical Union","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eos, Transactions American Geophysical Union","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1029/2023eo230416","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
Researchers used deep learning to fill in the gaps of “patchy” water quality data, revealing decades-long trends toward warmer and less oxygenated rivers that could have worrisome consequences.