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Global forecasting of thermal health hazards: the skill of probabilistic predictions of the Universal Thermal Climate Index (UTCI)

机译:全球热健康危害预测:通用热气候指数(UTCI)的概率预测技巧

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摘要

Although over a hundred thermal indices can be used for assessing thermal health hazards, many ignore the human heat budget, physiology and clothing. The Universal Thermal Climate Index (UTCI) addresses these shortcomings by using an advanced thermo-physiological model. This paper assesses the potential of using the UTCI for forecasting thermal health hazards. Traditionally, such hazard forecasting has had two further limitations: it has been narrowly focused on a particular region or nation and has relied on the use of single ‘deterministic’ forecasts. Here, the UTCI is computed on a global scale, which is essential for international health-hazard warnings and disaster preparedness, and it is provided as a probabilistic forecast. It is shown that probabilistic UTCI forecasts are superior in skill to deterministic forecasts and that despite global variations, the UTCI forecast is skilful for lead times up to 10 days. The paper also demonstrates the utility of probabilistic UTCI forecasts on the example of the 2010 heat wave in Russia.
机译:尽管可以使用一百多种热指数来评估热健康危害,但许多人还是忽略了人的热量预算,生理和衣服。通用热气候指数(UTCI)通过使用高级热生理模型解决了这些缺点。本文评估了使用UTCI预测热健康危害的潜力。传统上,这样的危害预测有两个局限性:它只局限于特定的地区或国家,并且依赖于单一的“确定性”预测。此处,UTCI是在全球范围内计算的,这对于国际健康危害预警和灾难预防至关重要,并以概率预测的形式提供。结果表明,概率UTCI预测在技术上优于确定性预测,并且尽管存在全局差异,但UTCI预测在长达10天的交货时间方面还是熟练的。本文还以俄罗斯2010年热浪为例,演示了概率UTCI预测的实用性。

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