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Twentieth century temperature trends in CMIP3, CMIP5, and CESM‐LE climate simulations: Spatial‐temporal uncertainties, differences, and their potential sources

机译:二十世纪CMIP3,CMIP5和CESM-LE气候模拟的温度趋势:空间 - 时间不确定性,差异及其潜在来源

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摘要

The twentieth century climate simulations from the Coupled Model Intercomparison Project Phase 3 (CMIP3) and Phase 5 (CMIP5) are compared to assess the models' ability to capture observed near-surface air temperature trends at global, continental, and regional scales. We computed trends by using a nonparametric method and considering long-term persistence in the time series. The role of internal variability is examined by using large ensemble climate simulations from the National Center for Atmospheric Research model Community Earth System Model (CESM). We computed temperature trends for three periods: (1) the twentieth century, (2) the second half of the twentieth century, and (3) the recent hiatus period to contrast the roles of external forcing and internal variability at various spatial and temporal scales. Both CMIP ensembles show statistically significant warming at global and continental scales during the twentieth century. We found a small but statistically significant difference between CMIP3 (0.57?±?0.07?°C/century) and CMIP5 (0.47?±?0.06?°C/century) twentieth century temperature trends, with the CMIP3 estimate being closer to the observations. The spatial structure of long-term temperature trends, and top-of-the atmosphere net radiation trends, suggests that differences in model parameterizations and feedback processes that lead to a smaller net radiative forcing are likely contributing to the differences between CMIP3 and CMIP5. The estimate of internal variability based on the CESM large ensemble spans 24% of the uncertainty in CMIP5 for the twentieth century temperature trends, and 76% for the recent hiatus period, both at global scales, and 43% and almost 100% during the corresponding time periods at regional scales.
机译:与耦合模型相互比较项目3(CMIP3)和第5阶段(CMIP5)的气候模拟,以评估模型捕获在全球,大陆和区域尺度的近表面空气温度趋势的能力。我们通过使用非参数方法计算趋势,并考虑时间序列的长期持久性。通过使用来自国家大气研究模型社区地球系统模型(CESM)的大型集合气候模拟来检查内部变异性的作用。我们计算了三个时期的温度趋势:(1)二十世纪,(2)二十世纪下半叶,(3)最近的中断时间对比各种空间和颞尺度的外部迫使和内部变异的作用对比。两个CMIP集合都在二十世纪在全球和大陆尺度上显示出统计上大量的变暖。我们发现CMIP3(0.57?±0.07℃/ centure)和CMIP5(0.47?±0.06°C / centure)二十世纪温度趋势之间的小但统计学上有统计学差异,与CMIP3估计更接近观察。长期温度趋势的空间结构和大气层净辐射趋势,表明模型参数化和导致净辐射强制的反馈过程的差异可能导致CMIP3和CMIP5之间的差异。基于CESM大集合的内部变异性估算了二十世纪的CMIP5中的24%的不确定度,在全球尺度的最近近期的中期期间,76%,相应的43%和近100%区域尺度的时间段。

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