Assessment of Arctic sea ice simulations in CMIP5 models using a synthetical skill scoring method

• Published in: Acta Oceanologica Sinica
• Main Authors: Liping Wu, Xiao-Yi Yang, Jianyu Hu
• Format: Article in Journal/Newspaper
• Language: Chinese
• Published: 2019
• Subjects: Arctic sea ice; Climate model; Barents and Kara Seas; Multi-model ensemble mean; Arctic; Barents Sea; Kara Sea; Climate change; Sea ice
• Online Access: https://doi.org/10.1007/s13131-019-1474-0; https://dspace.xmu.edu.cn/handle/2288/177202

Abstract(#br)The Arctic sea ice cover has declined at an unprecedented pace since the late 20th century. As a result, the feedback of sea ice anomalies for atmospheric circulation has been increasingly evidenced. While climatic models almost consistently reproduced a decreasing trend of sea ice cover, the reported results show a large distribution. To evaluate the performance of models for simulating Arctic sea ice cover and its potential role in climate change, this study constructed a reasonable metric by synthesizing both linear trends and anomalies of sea ice. This study particularly focused on the Barents Sea and the Kara Sea, where sea ice anomalies have the highest potential to affect the atmosphere. The investigated models can be grouped into three categories according to their.