2022
DOI: 10.1029/2021gl095709
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Urbanization Aggravates Effects of Global Warming on Local Atmospheric Drying

Abstract: Urbanization permanently alters land surface hydrological and thermal properties, which, in turn, causes changes in land surface energy and water balances (Bonan et al., 2011). The 'Urban Heat Island' (UHI) effect, which refers to the fact that cities have a higher 2-m air temperature than surrounding rural areas (Akbari et al., 1992;Georgescu et al., 2013;Oke, 1973), exemplifies how land cover change can dramatically alter near-ground air temperature. UHI effects have been well-documented in China (

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Cited by 31 publications
(40 citation statements)
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References 77 publications
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“…The increasing drying atmosphere in these subregions are also examined by Huang et al. (2022). VPD in parts of these urban areas exhibits an increasing trend higher than 0.4 hPa per decade, far exceeding the mean increasing rate of VPD (i.e., 0.144 hPa per decade) across China from 1971 to 2017.…”
Section: Resultsmentioning
confidence: 99%
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“…The increasing drying atmosphere in these subregions are also examined by Huang et al. (2022). VPD in parts of these urban areas exhibits an increasing trend higher than 0.4 hPa per decade, far exceeding the mean increasing rate of VPD (i.e., 0.144 hPa per decade) across China from 1971 to 2017.…”
Section: Resultsmentioning
confidence: 99%
“…The increasing temperature over urbanized areas has been extensively investigated (Hua et al, 2008;Jones et al, 2008;Luo & Lau, 2021;Sun et al, 2016). However, the changes in atmospheric aridity and possible UE have not been fully studied with few investigations focusing on the humidity deficit in urban areas and the UDI effect in a single city or few urban agglomerations (Huang et al, 2022;Langendijk et al, 2019Langendijk et al, , 2021Lin et al, 2020;Moriwaki et al, 2013). Atmospheric humidity plays an essential role in the hydrological cycle at global and local scales and is closely associated with human health by exerting excessive stress on the human body (Barreca & Shimshack, 2012;Bartková-Ščevková, 2003;Shekoofa et al, 2016).…”
Section: Conclusion and Discussionmentioning
confidence: 99%
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“…The Penman-Monteith (P-M) equation is a standard model for estimating PET that is recommended by the United Nations Food and Agriculture Organization (FAO) [10]. The P-M equation includes climate variables such as air temperature (T a ), net radiation (R n ) and wind speed (W s ) and is appropriate for humid conditions [7,[12][13][14]. The effects of different source parameters on PET have been investigated over different periods and in different regions.…”
Section: Introductionmentioning
confidence: 99%