Comparison of weather station and climate reanalysis data for modelling temperature-related mortality.
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality.
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DOI：
10.1038/s41598-022-09049-4
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发表时间：
2022-03-25
影响因子：
4.6
通讯作者：
Gasparrini A
中科院分区：
文献类型：
--
作者：
Mistry MN;Schneider R;Masselot P;Royé D;Armstrong B;Kyselý J;Orru H;Sera F;Tong S;Lavigne É;Urban A;Madureira J;García-León D;Ibarreta D;Ciscar JC;Feyen L;de Schrijver E;de Sousa Zanotti Stagliorio Coelho M;Pascal M;Tobias A;Multi-Country Multi-City (MCC) Collaborative Research Network;Guo Y;Vicedo-Cabrera AM;Gasparrini A
对与非最佳温度有关的健康风险进行流行病学分析，传统上是基于气象站的地面观测，这些气象站提供的空间和时间覆盖范围有限。气候再分析是一种替代办法，提供完整的时空暴露范围，但仍有待系统地探讨其在评估全球范围内与温度有关的健康风险方面的适用性。在这里，我们提供了多个地区的第一个全面分析，以评估最新一代的再分析数据集对健康影响评估的适用性，并评估其与传统的基于站的数据的比较性能。我们的研究结果表明，再分析温度从最后的ERA5产品一般比较站观测，类似的非最佳温度相关的风险估计。然而，分析提供了一些热带地区表现较低的迹象，可能低估了与热有关的超额死亡率。再分析数据是温度相关风险流行病学分析中暴露变量的有效替代来源。
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.
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影响因子：
3.2
作者：
Jendritzky, Gerd;de Dear, Richard;Havenith, George
通讯作者：
Havenith, George
热浪和死亡率：一项多国，多社区研究。
影响因子：
10.4
作者：
Guo Y;Gasparrini A;Armstrong BG;Tawatsupa B;Tobias A;Lavigne E;Coelho MSZS;Pan X;Kim H;Hashizume M;Honda Y;Guo YL;Wu CF;Zanobetti A;Schwartz JD;Bell ML;Scortichini M;Michelozzi P;Punnasiri K;Li S;Tian L;Garcia SDO;Seposo X;Overcenco A;Zeka A;Goodman P;Dang TN;Dung DV;Mayvaneh F;Saldiva PHN;Williams G;Tong S
通讯作者：
Tong S
影响因子：
2
作者：
Gasparrini, A.;Armstrong, B.;Kenward, M. G.
通讯作者：
Kenward, M. G.
影响因子：
4.8
作者：
de Schrijver E;Folly CL;Schneider R;Royé D;Franco OH;Gasparrini A;Vicedo-Cabrera AM
通讯作者：
Vicedo-Cabrera AM
影响因子：
5.4
作者：
Auffhammer, Maximilian;Hsiang, Solomon M.;Sobel, Adam
通讯作者：
Sobel, Adam