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DOI10.1029/2023GH000923
Comparing Approximated Heat Stress Measures Across the United States
发表日期2024
ISSN2471-1403
起始页码8
结束页码1
卷号8期号:1
英文摘要Climate change is escalating the threat of heat stress to global public health, with the majority of humans today facing increasingly severe and prolonged heat waves. Accurate weather data reflecting the complexity of measuring heat stress is crucial for reducing the impact of extreme heat on health worldwide. Previous studies have employed Heat Index (HI) and Wet Bulb Globe Temperature (WBGT) metrics to understand extreme heat exposure, forming the basis for heat stress guidelines. However, systematic comparisons of meteorological and climate data sets used for these metrics and the related parameters, like air temperature, humidity, wind speed, and solar radiation crucial for human thermoregulation, are lacking. We compared three heat measures (HImax, WBGTBernard, and WBGTLiljegren) approximated from gridded weather data sets (ERA5-Land, PRISM, Daymet) with ground-based data, revealing strong agreement from HI and WBGTBernard (R2 0.76-0.95, RMSE 1.69-6.64 degrees C). Discrepancies varied by Koppen-Geiger climates (e.g., Adjusted R2 HImax 0.88-0.95, WBGTBernard 0.79-0.97, and WBGTLiljegren 0.80-0.96), and metrological input variables (Adjusted R2 Tmax 0.86-0.94, Tmin 0.91-0.94, Wind 0.33, Solarmax 0.38, Solaravg 0.38, relative humidity 0.51-0.74). Gridded data sets can offer reliable heat exposure assessment, but further research and local networks are vital to reduce measurement errors to fully enhance our understanding of how heat stress measures link to health outcomes. Extreme heat threatens human health. Rising intensity and duration of heat days expose more to hot environments. To understand how extreme heat affects human health, it is important to use accurate weather information and measures that reflect people's actual experience of the heat. Heat Index (HI) and Wet Bulb Globe Temperature (WBGT) are commonly used heat stress metrics that are widely used to set exposure guidelines and policies. However, there have been limited comparisons between daily heat measures and weather variables. In this study, we compared three heat measures (HI, WBGTBernard, and WBGTLiljegren) derived from three widely used gridded weather data sets (ERA5-Land, PRISM, and Daymet) with ground-based weather observations. The heat measures calculated from both the gridded weather data and the station data showed a reasonably strong agreement. However, the differences varied depending on the climate types. Gridded weather data sets can provide a reliable approach to assessing heat exposure and impacts based on meteorological variables to produce heat measures. However, further research and the establishment of local ground station networks are necessary to reduce measurement errors in exposure and improve accuracy. This will help us better understand the relationship between heat measures and their impact on health outcomes. Compared heat stress measures using gridded data sets and in situ data from 17 institutions across 42 states in the contiguous USObserved variations in heat measures and weather variables align with Koppen-Geiger climate classificationsInstalling more Wet Bulb Globe Temperature-measuring stations in diverse microclimates is key to better heat exposure prevention strategies
英文关键词Heat Index (HI); Wet Bulb Globe Temperature (WBGT); Daymet; ERA5; PRISM; extreme heat
语种英语
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号WOS:001146671900001
来源期刊GEOHEALTH
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/306674
作者单位University of Kansas; University of Colorado System; University of Colorado Boulder; Montana State University System; Montana State University Bozeman; Montana State University System; Montana State University Bozeman; Columbia University
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GB/T 7714
. Comparing Approximated Heat Stress Measures Across the United States[J],2024,8(1).
APA (2024).Comparing Approximated Heat Stress Measures Across the United States.GEOHEALTH,8(1).
MLA "Comparing Approximated Heat Stress Measures Across the United States".GEOHEALTH 8.1(2024).
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