Kodra Evan, Ganguly Auroop R
Sustainability and Data Sciences Lab, Civil and Environmental Engineering, Northeastern University, Boston, MA.
Sci Rep. 2014 Jul 30;4:5884. doi: 10.1038/srep05884.
A statistical analysis reveals projections of consistently larger increases in the highest percentiles of summer and winter temperature maxima and minima versus the respective lowest percentiles, resulting in a wider range of temperature extremes in the future. These asymmetric changes in tail distributions of temperature appear robust when explored through 14 CMIP5 climate models and three reanalysis datasets. Asymmetry of projected increases in temperature extremes generalizes widely. Magnitude of the projected asymmetry depends significantly on region, season, land-ocean contrast, and climate model variability as well as whether the extremes of consideration are seasonal minima or maxima events. An assessment of potential physical mechanisms provides support for asymmetric tail increases and hence wider temperature extremes ranges, especially for northern winter extremes. These results offer statistically grounded perspectives on projected changes in the IPCC-recommended extremes indices relevant for impacts and adaptation studies.
一项统计分析显示,预计夏季和冬季最高温度极值以及最低温度极值的百分位数持续大幅上升,且最高百分位数的增幅大于最低百分位数,这将导致未来极端温度范围变宽。通过14个CMIP5气候模型和3个再分析数据集进行研究时,温度尾部分布的这些不对称变化似乎是稳健的。极端温度预计增幅的不对称性广泛存在。预计不对称性的幅度显著取决于地区、季节、海陆对比、气候模型变率,以及所考虑的极端情况是季节性最低温度事件还是最高温度事件。对潜在物理机制的评估为尾部不对称性增加以及由此导致的更宽极端温度范围提供了支持,特别是对于北半球冬季的极端情况。这些结果为与影响和适应研究相关的IPCC推荐极端指数的预计变化提供了基于统计的观点。