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评估 ERA5 再分析基础上的通用热气候指数在欧洲死亡率数据上的表现。

Evaluation of the ERA5 reanalysis-based Universal Thermal Climate Index on mortality data in Europe.

机构信息

Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, Czech Republic; Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic.

School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom; Forecast Department, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.

出版信息

Environ Res. 2021 Jul;198:111227. doi: 10.1016/j.envres.2021.111227. Epub 2021 May 8.

Abstract

Air temperature has been the most commonly used exposure metric in assessing relationships between thermal stress and mortality. Lack of the high-quality meteorological station data necessary to adequately characterize the thermal environment has been one of the main limitations for the use of more complex thermal indices. Global climate reanalyses may provide an ideal platform to overcome this limitation and define complex heat and cold stress conditions anywhere in the world. In this study, we explored the potential of the Universal Thermal Climate Index (UTCI) based on ERA5 - the latest global climate reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) - as a health-related tool. Employing a novel ERA5-based thermal comfort dataset ERA5-HEAT, we investigated the relationships between the UTCI and daily mortality data in 21 cities across 9 European countries. We used distributed lag nonlinear models to assess exposure-response relationships between mortality and thermal conditions in individual cities. We then employed meta-regression models to pool the results for each city into four groups according to climate zone. To evaluate the performance of ERA5-based UTCI, we compared its effects on mortality with those for the station-based UTCI data. In order to assess the additional effect of the UTCI, the performance of ERA5-and station-based air temperature (T) was evaluated. Whilst generally similar heat- and cold-effects were observed for the ERA5-and station-based data in most locations, the important role of wind in the UTCI appeared in the results. The largest difference between any two datasets was found in the Southern European group of cities, where the relative risk of mortality at the 1st percentile of daily mean temperature distribution (1.29 and 1.30 according to the ERA5 vs station data, respectively) considerably exceeded the one for the daily mean UTCI (1.19 vs 1.22). These differences were mainly due to the effect of wind in the cold tail of the UTCI distribution. The comparison of exposure-response relationships between ERA5-and station-based data shows that ERA5-based UTCI may be a useful tool for definition of life-threatening thermal conditions in locations where high-quality station data are not available.

摘要

气温一直是评估热应激与死亡率之间关系的最常用暴露指标。缺乏高质量的气象站数据来充分描述热环境,这一直是使用更复杂的热指数的主要限制之一。全球气候再分析资料可能提供了一个克服这一限制并定义全球任何地方复杂热和冷应激条件的理想平台。在这项研究中,我们探讨了基于欧洲中期天气预报中心(ECMWF)最新的全球气候再分析资料 ERA5 的通用热气候指数(UTCI)作为一种与健康相关工具的潜力。利用基于 ERA5 的新型热舒适度数据集 ERA5-HEAT,我们研究了 UTCI 与 9 个欧洲国家 21 个城市的日死亡率数据之间的关系。我们使用分布式滞后非线性模型评估了死亡率与各城市热条件之间的暴露-反应关系。然后,我们采用荟萃回归模型,根据气候带将每个城市的结果分为四组进行汇总。为了评估基于 ERA5 的 UTCI 的性能,我们将其对死亡率的影响与基于气象站的 UTCI 数据进行了比较。为了评估 UTCI 的附加效果,我们评估了基于 ERA5 和基于气象站的空气温度(T)的性能。虽然在大多数地点,基于 ERA5 和基于气象站的资料都观察到了类似的热和冷效应,但 UTCI 中风的重要作用在结果中显现出来。在任何两个数据集之间发现的最大差异出现在南欧城市组,其中每日平均温度分布第 1 百分位数(根据 ERA5 和气象站数据,分别为 1.29 和 1.30)的死亡率相对风险明显高于每日平均 UTCI(1.19 与 1.22)。这些差异主要是由于 UTCI 冷尾风中的风的影响。ERA5 和基于气象站数据之间的暴露-反应关系的比较表明,在无法获得高质量气象站数据的地方,基于 ERA5 的 UTCI 可能是定义威胁生命的热条件的有用工具。

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