A short note on the use of daily climate data to calculate Humidex heat-stress indices,International Journal of Climatology

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A short note on the use of daily climate data to calculate Humidex heat-stress indices
International Journal of Climatology ( IF 3.5 ) Pub Date : 2022-08-13 , DOI: 10.1002/joc.7833
Emilia Diaconescu ₁ , Housseyni Sankare ₁ , Kenneth Chow ₁ , Trevor Q. Murdock ₁ , Alex J. Cannon ₂

Affiliation

The projected increase in the frequency and intensity of extreme heat events due to climate change means an associated increase in risk of heat-related illnesses and mortality. Public health systems need to be prepared to identify and reduce the susceptibility of vulnerable populations to increased occurrence of heat-related illness and stress. To facilitate this, climate services have begun developing climate change projections for heat-stress indices based on exceedances of thresholds used operationally in meteorological heat warning systems. This task is complicated by the fact that heat-stress indices are generally computed using hourly data whereas climate model outputs are often archived at daily or longer time steps. This study focuses on Humidex, a heat-stress index used in heat alerts issued by the Meteorological Service of Canada. Several potential solutions for computing robust Humidex indices using daily data are examined, including a new approximation method. Indices obtained with the new method are compared with indices obtained using the classic method based on hourly data as well as with other two methods based on average daily values. The new approximation gives good estimations for humidex indices, while the daily-average-value methods present biases with respect to the hourly-value method.

中文翻译：

关于使用每日气候数据计算 Humidex 热应激指数的简短说明

由于气候变化，预计极端高温事件的频率和强度会增加，这意味着与高温相关的疾病和死亡率的风险会相应增加。公共卫生系统需要做好准备，以识别和降低弱势群体对热相关疾病和压力增加的易感性。为促进这一点，气候服务部门已开始根据气象高温预警系统中实际使用的阈值超过情况，开发针对热应力指数的气候变化预测。由于热应力指数通常使用每小时数据计算，而气候模型输出通常以每日或更长的时间步长存档，因此这项任务变得复杂。本研究重点关注加拿大气象局发布的热警报中使用的热应力指数 Humidex。研究了使用每日数据计算稳健 Humidex 指数的几种潜在解决方案，包括一种新的近似方法。将使用新方法获得的指数与使用基于小时数据的经典方法获得的指数以及其他两种基于平均日值的方法获得的指数进行比较。新的近似值可以很好地估计 humidex 指数，而日平均值方法相对于小时值方法存在偏差。

更新日期：2022-08-13

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