{"title":"根据温度与大气二氧化碳的线性关系估计人类引起的变暖","authors":"Andrew Jarvis, Piers M. Forster","doi":"10.1038/s41561-024-01580-5","DOIUrl":null,"url":null,"abstract":"<p>Assessing compliance with the human-induced warming goal in the Paris Agreement requires transparent, robust and timely metrics. Linearity between increases in atmospheric CO<sub>2</sub> and temperature offers a framework that appears to satisfy these criteria, producing human-induced warming estimates that are at least 30% more certain than alternative methods. Here, for 2023, we estimate humans have caused a global increase of 1.49 ± 0.11 °C relative to a pre-1700 baseline.</p>","PeriodicalId":19053,"journal":{"name":"Nature Geoscience","volume":"18 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimated human-induced warming from a linear temperature and atmospheric CO2 relationship\",\"authors\":\"Andrew Jarvis, Piers M. Forster\",\"doi\":\"10.1038/s41561-024-01580-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Assessing compliance with the human-induced warming goal in the Paris Agreement requires transparent, robust and timely metrics. Linearity between increases in atmospheric CO<sub>2</sub> and temperature offers a framework that appears to satisfy these criteria, producing human-induced warming estimates that are at least 30% more certain than alternative methods. Here, for 2023, we estimate humans have caused a global increase of 1.49 ± 0.11 °C relative to a pre-1700 baseline.</p>\",\"PeriodicalId\":19053,\"journal\":{\"name\":\"Nature Geoscience\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Geoscience\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1038/s41561-024-01580-5\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Geoscience","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41561-024-01580-5","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Estimated human-induced warming from a linear temperature and atmospheric CO2 relationship
Assessing compliance with the human-induced warming goal in the Paris Agreement requires transparent, robust and timely metrics. Linearity between increases in atmospheric CO2 and temperature offers a framework that appears to satisfy these criteria, producing human-induced warming estimates that are at least 30% more certain than alternative methods. Here, for 2023, we estimate humans have caused a global increase of 1.49 ± 0.11 °C relative to a pre-1700 baseline.
期刊介绍:
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