School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.
School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong, China; Mailman School of Public Health, Columbia University, New York, USA.
Sci Total Environ. 2021 May 10;768:144487. doi: 10.1016/j.scitotenv.2020.144487. Epub 2021 Jan 6.
A large majority of climate change studies carried out to date are on changes in mean climate, which have comparatively downplayed variability. In terms of trend analysis or forecast, the scientific output and common knowledge for global warming are much more robust than for changes in temperature variability. Quantification of temperature variability adds another dimension of temporal scale, requiring immense labor and presenting great uncertainty. Regardless, this endeavor is necessary since changes in ambient temperature variabilities could also contribute to current and future human health burden besides changes in mean quantities. Here, we review the current literature on trends of surface air temperature variability defined at a range of timescales, aiming to tease out the welter of evidence and thus improving the scientific recognition of changes in air temperature variability in the context of climate change. The findings of reviewed studies from numerous regions differ substantially over various temporal scales. In general, the ambient temperature variability on short time scales (e.g., diurnal or inter-day) shows a downward trend, while it is increasing on longer time scales (e.g., inter-annual). We then move beyond the review and deliver an extended discussion of potential implications for future research related to ambient temperature variability. We highlight the need to consider the methodological choices, especially timescales of interest, in the trend analysis as well as health impact studies. Continued research focusing on temperature variability at multiple timescales, with concerted efforts from scientists of all relevant stripes, is meaningful in synthesizing knowledge and reducing uncertainties surrounding air temperature variability.
迄今为止,大多数已进行的气候变化研究都集中在平均气候变化上,这些研究相对淡化了可变性。就趋势分析或预测而言,全球变暖的科学成果和常识比温度可变性变化更为可靠。量化温度可变性增加了时间尺度的另一个维度,需要大量的劳动力和巨大的不确定性。无论如何,这项工作是必要的,因为环境温度变化的变化除了平均数量的变化外,也可能对当前和未来的人类健康负担产生影响。在这里,我们回顾了目前关于各种时间尺度上的地表气温变化趋势的文献,旨在梳理大量证据,从而提高科学界对气候变化背景下气温变化的认识。来自许多地区的研究结果在不同的时间尺度上存在很大差异。总的来说,短时间尺度(例如,昼夜或日内)的环境温度变化呈下降趋势,而长时间尺度(例如,年际)的温度变化则呈上升趋势。然后,我们超越了综述,并对与环境温度变化相关的未来研究的潜在影响进行了扩展讨论。我们强调需要在趋势分析和健康影响研究中考虑方法选择,特别是感兴趣的时间尺度。在多个时间尺度上继续关注温度变化,并得到所有相关领域科学家的协同努力,对于综合知识和减少围绕空气温度变化的不确定性具有重要意义。