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Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments

机译:区域气候模式实验中不断变化的温室气体强迫对变暖信号的影响

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摘要

Variations in the atmospheric concentrations of greenhouse gases (GHG) may not be included as external forcing when running regional climate models (RCMs); at least, this is a non-regulated, non-documented practice. Here we investigate the so far unexplored impact of considering the rising evolution of the CO2, CH4, and N2O atmospheric concentrations on near-surface air temperature (TAS) trends, for both the recent past and the near future, as simulated by a state-of-the-art RCM over Europe. The results show that the TAS trends are significantly affected by 1–2 K century−1, which under 1.5 °C global warming translates into a non-negligible impact of up to 1 K in the regional projections of TAS, similarly affecting projections for maximum and minimum temperatures. In some cases, these differences involve a doubling signal, laying further claim to careful reconsideration of the RCM setups with regard to the inclusion of GHG concentrations as an evolving external forcing which, for the sake of research reproducibility and reliability, should be clearly documented in the literature.
机译:在运行区域气候模型(RCM)时,可能不包括大气中温室气体(GHG)浓度的变化作为外部强迫;至少,这是一种不受管制,无记录的做法。在这里,我们研究了考虑到CO2,CH4和N2O大气浓度的上升演变对近期和近期的近地表空气温度(TAS)趋势的迄今未开发的影响,该状态由以下州模拟:欧洲最先进的RCM。结果表明,TAS趋势受1–2 K世纪 −1 的显着影响,在1.5°C下,全球变暖转化为对区域预报中1 projectionK的不可忽略的影响。 TAS,同样会影响最高和最低温度的预测。在某些情况下,这些差异涉及信号加倍,进一步要求对RCM设置进行仔细的重新考虑,考虑将GHG浓度作为不断发展的外部强迫,为了研究的可重复性和可靠性,应在文献。

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