CMIP6 Representation of Declining Sea Ice and Arctic Cyclones in the Current Climate

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
E. Valkonen, J. Cassano, E. Cassano, M. Seefeldt, C. Parker
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Abstract

The Arctic climate system is changing rapidly with important implications in the Arctic and beyond. The interaction between the sea ice and Arctic cyclones makes it an important topic to be understood in the warming climate. We analyzed an ensemble of Coupled Multimodel Intercomparison Project (CMIP6) model simulations from 1985 to 2014 to determine model skill in depicting Arctic cyclones and their relationship with sea ice. A comprehensive climatology of Arctic cyclones and sea ice concentrations (SIC) was produced and compared to the ERA5 reanalysis product. The models reproduced the observed sea ice spatial patterns and trend well. However, the models struggled to capture the concurrent patterns and trends in Arctic cyclone characteristics that were evident in the reanalysis data. The models underestimated local cyclogenesis in the Arctic, which led to an overall underestimation of Arctic cyclone counts. Lead/lag analysis of ERA5 data suggests that reduced sea ice in the warm season can drive increased cyclone counts in the following cold season, which then reduces SIC in the next warm season in a feedback cycle that appears to be missing from the CMIP6 models. The results also revealed deviations between CMIP6 and ERA5 cyclone intensities. The magnitude and sign of the intensity differences varied based on model resolution, surface roughness parameterization, and skill in the representation of cyclogenesis location. This work highlights the need to improve sea ice-atmosphere interactions and the representation of synoptic systems in the next generation of global models.

Abstract Image

当前气候中海冰减少和北极气旋的CMIP6表征
北极气候系统正在迅速变化,对北极及其他地区产生重要影响。海冰与北极气旋之间的相互作用使其成为气候变暖的一个重要课题。我们分析了1985年至2014年耦合多模式比对项目(CMIP6)模式模拟的集合,以确定模式描述北极气旋及其与海冰关系的技能。生成了北极气旋和海冰浓度(SIC)的综合气候学,并与ERA5再分析产品进行了比较。这些模式较好地再现了观测到的海冰空间格局和趋势。然而,这些模型很难捕捉到北极气旋特征的同步模式和趋势,这些特征在再分析数据中很明显。这些模型低估了北极的局部气旋形成,这导致了对北极气旋计数的总体低估。ERA5数据的超前/滞后分析表明,暖季海冰的减少会导致下一个冷季的气旋数量增加,然后在下一个暖季的一个反馈循环中减少SIC,这似乎是CMIP6模型所缺失的。结果还揭示了CMIP6和ERA5气旋强度之间的偏差。强度差异的大小和符号根据模式分辨率、表面粗糙度参数化和旋流发生位置的表示技巧而变化。这项工作强调了在下一代全球模式中改进海冰-大气相互作用和天气系统表示的必要性。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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