Pengke Shen, Shuqing Zhao, Zhiyu Xu, Xueqin Zhang, Bo Lu, Zhenyu Han, Menglin Si, Jiashuang Yuan, Lianchun Song, Shuguang Liu
{"title":"综合证据表明在大尺度变暖中探测城市信号是高度不确定的","authors":"Pengke Shen, Shuqing Zhao, Zhiyu Xu, Xueqin Zhang, Bo Lu, Zhenyu Han, Menglin Si, Jiashuang Yuan, Lianchun Song, Shuguang Liu","doi":"10.1029/2025GL115032","DOIUrl":null,"url":null,"abstract":"<p>Increasing urbanization causes urban heat island effects that might introduce significant biases into global warming estimates. Previous studies of urban warming signals and asymmetries remain a subject of debate. Here we comprehensively assess urban-induced warmings by investigating meteorological temperatures on 2,370 stations in China during 1980–2022. There are noticeable urban-induced annual warming biases and contributions ranging from 0.016 to 0.251°C decade<sup>−1</sup> and 0.3%–72.4%, primarily due to spatiotemporal heterogeneities and the criteria defining urban sites. Rapid urbanization tends to exacerbate diurnal and seasonal warming asymmetries, resulting in shrinking temperature differentials associated with urbanized areas and urbanization chronosequences. This study underscores that the specific definition of urban areas matters for warming biases in magnitude and complex nonlinear urbanization imprint on warming asymmetries.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 5","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115032","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Evidence That Detecting Urban Signals in Large-Scale Warming Is Highly Uncertain\",\"authors\":\"Pengke Shen, Shuqing Zhao, Zhiyu Xu, Xueqin Zhang, Bo Lu, Zhenyu Han, Menglin Si, Jiashuang Yuan, Lianchun Song, Shuguang Liu\",\"doi\":\"10.1029/2025GL115032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Increasing urbanization causes urban heat island effects that might introduce significant biases into global warming estimates. Previous studies of urban warming signals and asymmetries remain a subject of debate. Here we comprehensively assess urban-induced warmings by investigating meteorological temperatures on 2,370 stations in China during 1980–2022. There are noticeable urban-induced annual warming biases and contributions ranging from 0.016 to 0.251°C decade<sup>−1</sup> and 0.3%–72.4%, primarily due to spatiotemporal heterogeneities and the criteria defining urban sites. Rapid urbanization tends to exacerbate diurnal and seasonal warming asymmetries, resulting in shrinking temperature differentials associated with urbanized areas and urbanization chronosequences. This study underscores that the specific definition of urban areas matters for warming biases in magnitude and complex nonlinear urbanization imprint on warming asymmetries.</p>\",\"PeriodicalId\":12523,\"journal\":{\"name\":\"Geophysical Research Letters\",\"volume\":\"52 5\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL115032\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysical Research Letters\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025GL115032\",\"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":"Geophysical Research Letters","FirstCategoryId":"89","ListUrlMain":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025GL115032","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}
Comprehensive Evidence That Detecting Urban Signals in Large-Scale Warming Is Highly Uncertain
Increasing urbanization causes urban heat island effects that might introduce significant biases into global warming estimates. Previous studies of urban warming signals and asymmetries remain a subject of debate. Here we comprehensively assess urban-induced warmings by investigating meteorological temperatures on 2,370 stations in China during 1980–2022. There are noticeable urban-induced annual warming biases and contributions ranging from 0.016 to 0.251°C decade−1 and 0.3%–72.4%, primarily due to spatiotemporal heterogeneities and the criteria defining urban sites. Rapid urbanization tends to exacerbate diurnal and seasonal warming asymmetries, resulting in shrinking temperature differentials associated with urbanized areas and urbanization chronosequences. This study underscores that the specific definition of urban areas matters for warming biases in magnitude and complex nonlinear urbanization imprint on warming asymmetries.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.