Evaluation of Arctic sea ice simulation of CMIP6 models from China

作     者：LI Jiaqi WANG Xiaochun WANG Ziqi ZHAO Liqing WANG Jin LI Jiaqi;WANG Xiaochun;WANG Ziqi;ZHAO Liqing;WANG Jin

作者机构：School of Marine SciencesNanjing University of Information Science and TechnologyNanjing 210014China 

出 版 物：《Advances in Polar Science》 (极地科学进展（英文版）)

年 卷 期：2022年第33卷第3期

页      面：220-234页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：supported by the National Key R&D Program of China (Grant no. 2018YFA0605904) 

主　　题：coupled climate model CMIP6 Arctic sea ice 

摘      要：Nine coupled climate models from China participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)were evaluated in terms of their capability in ensemble historical Arctic sea ice simulation in the context of 56 CMIP6 *** evaluated these nine models using satellite observations from 1980 to *** evaluation was conducted comprehensively using 12 metrics covering different aspects of the seasonal cycle and long-term trend of sea ice extent(SIE)and sea ice concentration(SIC).The nine Chinese modelstended to overestimate SIE,especially in March,and underestimate its long-term decline *** was less spread in model skill in reproducing the spatial pattern of March SIC than in reproducing the spatial pattern of September *** error of March SIC simulation was distributed at the margins of sea ice cover,such as in the Nordic Seas,the Barents Sea,the Labrador Sea,the Bering Sea,and the Sea of ***,the error of September SIC was distributed both at the margins of sea ice cover and in the central part of the Arctic *** of these nine models had capabilities comparable with the majority of the CMIP6 models in reproducing the seasonal cycle and long-term trend of Arctic sea ice.