首页> 外文期刊>International Journal of Biometeorology >Climate change and heat-related mortality in six cities Part 2: climate model evaluation and projected impacts from changes in the mean and variability of temperature with climate change
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Climate change and heat-related mortality in six cities Part 2: climate model evaluation and projected impacts from changes in the mean and variability of temperature with climate change

机译:六个城市的气候变化和与热有关的死亡率第2部分:气候模型评估和温度随气候变化的均值和可变性的变化产生的预计影响

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Previous assessments of the impacts of climate change on heat-related mortality use the “delta method” to create temperature projection time series that are applied to temperature–mortality models to estimate future mortality impacts. The delta method means that climate model bias in the modelled present does not influence the temperature projection time series and impacts. However, the delta method assumes that climate change will result only in a change in the mean temperature but there is evidence that there will also be changes in the variability of temperature with climate change. The aim of this paper is to demonstrate the importance of considering changes in temperature variability with climate change in impacts assessments of future heat-related mortality. We investigate future heat-related mortality impacts in six cities (Boston, Budapest, Dallas, Lisbon, London and Sydney) by applying temperature projections from the UK Meteorological Office HadCM3 climate model to the temperature–mortality models constructed and validated in Part 1. We investigate the impacts for four cases based on various combinations of mean and variability changes in temperature with climate change. The results demonstrate that higher mortality is attributed to increases in the mean and variability of temperature with climate change rather than with the change in mean temperature alone. This has implications for interpreting existing impacts estimates that have used the delta method. We present a novel method for the creation of temperature projection time series that includes changes in the mean and variability of temperature with climate change and is not influenced by climate model bias in the modelled present. The method should be useful for future impacts assessments. Few studies consider the implications that the limitations of the climate model may have on the heat-related mortality impacts. Here, we demonstrate the importance of considering this by conducting an evaluation of the daily and extreme temperatures from HadCM3, which demonstrates that the estimates of future heat-related mortality for Dallas and Lisbon may be overestimated due to positive climate model bias. Likewise, estimates for Boston and London may be underestimated due to negative climate model bias. Finally, we briefly consider uncertainties in the impacts associated with greenhouse gas emissions and acclimatisation. The uncertainties in the mortality impacts due to different emissions scenarios of greenhouse gases in the future varied considerably by location. Allowing for acclimatisation to an extra 2°C in mean temperatures reduced future heat-related mortality by approximately half that of no acclimatisation in each city. Keywords Mortality - Impacts - Heat waves - Uncertainty - Temperature variability
机译:先前对气候变化对与热相关的死亡率的影响的评估使用“增量法”来创建温度预测时间序列,并将其应用于温度-死亡率模型以估计未来的死亡率影响。增量法意味着建模的当前气候模型偏差不会影响温度投影时间序列和影响。但是,增量法假设气候变化只会导致平均温度的变化,但是有证据表明温度随气候变化的变化性也会发生变化。本文的目的是证明在考虑未来热相关死亡率的影响评估中考虑气候变化引起的温度变化的重要性。通过将英国气象局HadCM3气候模型的温度预测应用于第1部分中构建和验证的温度-死亡率模型,我们研究了六个城市(波士顿,布达佩斯,达拉斯,里斯本,伦敦和悉尼)未来与热相关的死亡率影响。根据温度随气候变化的均值和可变性变化的各种组合,调查四种情况的影响。结果表明,较高的死亡率归因于温度随气候变化而不是仅凭平均温度的变化而增加的平均值和可变性。这对于解释使用增量法的现有影响估计具有影响。我们提出了一种创建温度投影时间序列的新颖方法,该方法包括温度平均值和温度随气候变化的变化,并且不受当前建模中气候模型偏差的影响。该方法应该对将来的影响评估有用。很少有研究考虑气候模型的局限性可能对与热有关的死亡率影响。在这里,我们通过对HadCM3的每日和极端温度进行评估来证明考虑这一点的重要性,这表明由于正的气候模型偏差,对达拉斯和里斯本的未来与热相关的死亡率的估计值可能被高估了。同样,由于负面的气候模型偏差,波士顿和伦敦的估计值可能会被低估。最后,我们简要考虑与温室气体排放和环境适应相关的不确定性。未来因温室气体排放情景不同而造成的死亡率影响的不确定性因地区而异。允许平均温度再适应2°C,可使每个城市未来与热相关的死亡率降低约一半。死亡率-影响-热波-不确定度-温度变异性

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