Cloud- and ice-albedo feedbacks drive greater Greenland Ice Sheet sensitivity to warming in CMIP6 than in CMIP5

Idunn Aamnes Mostue, Stefan Hofer, T. Storelvmo, X. Fettweis
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Abstract

Abstract. The Greenland Ice Sheet (GrIS) has been losing mass since the 1990s as a direct consequence of rising temperatures and has been projected to continue to lose mass at an accelerating pace throughout the 21st century, making it one of the largest contributors to future sea-level rise. The latest Coupled Model Intercomparison Project Phase 6 (CMIP6) models produce a greater Arctic amplification signal and therefore also a notably larger mass loss from the GrIS when compared to the older CMIP5 projections, despite similar forcing levels from greenhouse gas emissions. However, it is also argued that the strength of regional factors, such as melt–albedo feedbacks and cloud-related feedbacks, will partly impact future melt and sea-level rise contribution, yet little is known about the role of these regional factors in producing differences in GrIS surface melt projections between CMIP6 and CMIP5. In this study, we use high-resolution (15 km) regional climate model simulations over the GrIS performed using the Modèle Atmosphérique Régional (MAR) to physically downscale six CMIP5 Representative Concentration Pathway (RCP) 8.5 and five CMIP6 Shared Socioeconomic Pathway (SSP) 5-8.5 extreme high-emission-scenario simulations. Here, we show a greater annual mass loss from the GrIS at the end of the 21st century but also for a given temperature increase over the GrIS, when comparing CMIP6 to CMIP5. We find a greater sensitivity of Greenland surface mass loss in CMIP6 centred around summer and autumn, yet the difference in mass loss is the largest during autumn with a reduction of 27.7 ± 9.5 Gt per season for a regional warming of +6.7 ∘C and 24.6 Gt per season more mass loss than in CMIP5 RCP8.5 simulations for the same warming. Assessment of the surface energy budget and cloud-related feedbacks suggests a reduction in high clouds during summer and autumn – despite enhanced cloud optical depth during autumn – to be the main driver of the additional energy reaching the surface, subsequently leading to enhanced surface melt and mass loss in CMIP6 compared to CMIP5. Our analysis highlights that Greenland is losing more mass in CMIP6 due to two factors: (1) a (known) greater sensitivity to greenhouse gas emissions and therefore warmer temperatures and (2) previously unnotified cloud-related surface energy budget changes that enhance the GrIS sensitivity to warming.
与 CMIP5 相比,CMIP6 中云层和冰层对气候变暖的反馈作用使格陵兰冰盖对气候变暖的敏感性更高
摘要自 20 世纪 90 年代以来,格陵兰冰盖(GrIS)的质量一直在下降,这是气温上升的直接后果,预计在整个 21 世纪,格陵兰冰盖的质量将继续加速下降,成为未来海平面上升的最大因素之一。与较早的 CMIP5 预测相比,最新的耦合模式相互比较项目第 6 阶段(CMIP6)模式产生了更大的北极放大信号,因此,尽管温室气体排放的强迫水平相似,但 GrIS 的质量损失也明显更大。不过,也有观点认为,区域因素(如融化-反渗透反馈和与云有关的反馈)的强度将部分影响未来的融化和海平面上升贡献,但人们对这些区域因素在 CMIP6 和 CMIP5 之间产生 GrIS 地表融化预测差异方面的作用知之甚少。在这项研究中,我们使用高分辨率(15 千米)区域气候模式模拟 GrIS,利用区域大气模型 (MAR),对 6 个 CMIP5 代表浓度路径 (RCP) 8.5 和 5 个 CMIP6 共享社会经济路径 (SSP) 5-8.5 极端高排放情景模拟进行物理降尺度。在此,我们将 CMIP6 与 CMIP5 进行了比较,结果表明在 21 世纪末,格陵兰岛国际陆地生态系统的年质量损失更大,而且在格陵兰岛国际陆地生态系统温度上升一定的情况下也是如此。我们发现,在 CMIP6 中,格陵兰岛地表质量损失的敏感性更强,主要集中在夏季和秋季,但质量损失的差异在秋季最大,在区域升温 +6.7 ∘C 的情况下,每季减少 27.7 ± 9.5 千兆吨,在相同升温条件下,每季质量损失比 CMIP5 RCP8.5 模拟多 24.6 千兆吨。对地表能量预算和云相关反馈的评估表明,夏季和秋季高云的减少--尽管秋季云光学深度增加--是到达地表的额外能量的主要驱动力,随后导致 CMIP6 比 CMIP5 的地表融化和质量损失增加。我们的分析强调,格陵兰岛在 CMIP6 中的质量损失更多是由两个因素造成的:(1) (已知的)对温室气体排放更敏感,因此气温更高;(2) 以前未被发现的与云有关的地表能量预算变化增强了格陵兰岛对气候变暖的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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