Lower Urban Humidity Moderates Outdoor Heat Stress

被引:87
作者
Chakraborty, T. [1 ,2 ]
Venter, Z. S. [3 ]
Qian, Y. [2 ]
Lee, X. [1 ]
机构
[1] Yale Univ, Sch Environm, New Haven, CT 06520 USA
[2] Pacific Northwest Res Inst, Richland, WA 98122 USA
[3] Norwegian Inst Nat Res, Terr Ecol Sect, Oslo, Norway
来源
AGU ADVANCES | 2022年 / 3卷 / 05期
关键词
outdoor heat stress; urban climate; humidity; crowdsourced data; remote sensing; urban vegetation; heatwave; LAND-SURFACE TEMPERATURE; AIR-TEMPERATURE; CLIMATE-CHANGE; ISLANDS; VEGETATION; WEATHER;
D O I
10.1029/2022AV000729
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Surface temperature is often used to examine heat exposure in multi-city studies and for informing urban heat mitigation efforts due to scarcity of urban air temperature measurements. Cities also have lower relative humidity, traditionally not accounted for in large-scale observational urban heat risk assessments. Here, using crowdsourced measurements from over 40,000 weather stations in approximate to 600 urban clusters in Europe, we show the moderating effect of this urbanization-induced humidity reduction on outdoor heat stress during the 2019 heatwave. We demonstrate that daytime differences in heat index between urban clusters and their surroundings are weak, and associations of this urban-rural difference with background climate, generally examined from the surface temperature perspective, are diminished due to moisture feedbacks. We also examine the spatial variability of surface temperature, air temperature, and heat index within these clusters-relevant for detecting hotspots and potential disparities in heat exposure-and find that surface temperature is a poor proxy for the intra-urban distribution of heat index during daytime. Finally, urban vegetation shows much weaker (similar to 1/6th as strong) associations with heat index than with surface temperature, which has broad implications for optimizing urban heat stress mitigation strategies. These findings are valid for operational metrics of heat stress for shaded conditions (apparent temperature and humidex), thermodynamic proxies (wet-bulb temperature), and empirical heat indices. Based on this large-scale empirical evidence, surface temperature, used due to the lack of better alternatives, may not be suitable for accurately informing heat mitigation strategies within and across cities, necessitating more urban-scale observations and better urban-resolving models.
引用
收藏
页数:19
相关论文
共 89 条
[1]  
Alduchov OA, 1996, J APPL METEOROL, V35, P601, DOI 10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO
[2]  
2
[3]   Methods to Calculate the Heat Index as an Exposure Metric in Environmental Health Research [J].
Anderson, G. Brooke ;
Bell, Michelle L. ;
Peng, Roger D. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2013, 121 (10) :1111-1119
[4]   Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island [J].
Arnfield, AJ .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2003, 23 (01) :1-26
[5]   SUHI analysis using Local Climate Zones-A comparison of 50 cities [J].
Bechtel, Benjamin ;
Demuzere, Matthias ;
Mills, Gerald ;
Zhan, Wenfeng ;
Sismanidis, Panagiotis ;
Small, Christopher ;
Voogt, James .
URBAN CLIMATE, 2019, 28
[6]   Widespread Race and Class Disparities in Surface Urban Heat Extremes Across the United States [J].
Benz, Susanne Amelie ;
Burney, Jennifer Anne .
EARTHS FUTURE, 2021, 9 (07)
[7]  
Bonafoni S, 2015, 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE)
[8]   Moist Heat Stress on a Hotter Earth [J].
Buzan, Jonathan R. ;
Huber, Matthew .
ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, VOL 48, 2020, 2020, 48 :623-+
[9]   Feasibility of afforestation as an equitable nature-based solution in urban areas [J].
Chakraborty, T. ;
Biswas, T. ;
Campbell, L. S. ;
Franklin, B. ;
Parker, S. S. ;
Tukman, M. .
SUSTAINABLE CITIES AND SOCIETY, 2022, 81
[10]   A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications [J].
Chakraborty, T. ;
Hsu, A. ;
Manya, D. ;
Sheriff, G. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 168 :74-88