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比较气象站和气候再分析数据,以建立与温度相关的死亡率模型。

Comparison of weather station and climate reanalysis data for modelling temperature-related mortality.

机构信息

Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.

Department of Economics, Ca' Foscari University of Venice, Venice, Italy.

出版信息

Sci Rep. 2022 Mar 25;12(1):5178. doi: 10.1038/s41598-022-09049-4.

Abstract

Epidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk.

摘要

与非最佳温度相关的健康风险的流行病学分析传统上基于气象站的地面观测,这些观测提供的空间和时间覆盖范围有限。气候再分析代表了一种替代方案,它提供了完整的时空暴露覆盖范围,但尚未系统地探讨其在全球范围内评估与温度相关的健康风险方面的适用性。在这里,我们提供了第一个多区域的综合分析,以评估最新一代再分析数据集在健康影响评估中的适用性,并评估它们与传统基于站点的数据的比较性能。我们的研究结果表明,最近的 ERA5 产品中的再分析温度通常与站点观测结果吻合较好,非最佳温度相关风险估计值也相似。然而,分析结果表明,热带地区的性能可能较低,可能低估了与热有关的超额死亡。在与温度相关的风险的流行病学分析中,再分析数据代表了暴露变量的一个有效替代来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd3d/8956721/6daf276c8d07/41598_2022_9049_Fig1_HTML.jpg

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