Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain

Abstract 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.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-03-07
DOI
https://doi.org/10.1029/2025gl115032
Citations
1
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.80

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article

Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain

Jiashuang Yuan, Menglin Si, Bo Lü, Zhenyu Han et al.
1 citations
Geophysical Research Letters
Urban Heat Island Mitigation
0.80
article

Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain

Jiashuang Yuan, Menglin Si, Bo Lü, Zhenyu Han, Shuqing Zhao, Pengke Shen, Shuguang Liu, Xueqin Zhang, Zhiyu Xu, Lianchun Song
article en
1 citations

Abstract

Abstract 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.

Geophysical Research LettersVol. 52(5)
China Meteorological Administration (CN), Chinese Academy of Sciences (CN), Peking University (CN), Hainan University (CN), Institute of Geographic Sciences and Natural Resources Research (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 32%
Urban Heat Island Mitigation
0.80
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Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain — Jiashuang Yuan, Menglin Si, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS