LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project

• Published in: Advances in Atmospheric Sciences
• Main Authors: Lin, Pengfei, Yu, Zhipeng, Liu, Hailong, Yu, Yongqiang, Li, Yiwen, Jiang, Jirong, Xue, Wei, Chen, Kangjun, Yang, Qian, Zhao, Bowen, Wei, Jilin, Ding, Mengrong, Sun, Zhikuo, Wang, Yaqi, Meng, Yao, Zheng, Weipeng, Ma, Jinfeng
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Science and Business Media LLC 2020
• Subjects: Atmospheric Science; Sea ice
• Online Access: http://dx.doi.org/10.1007/s00376-019-9208-5; http://link.springer.com/content/pdf/10.1007/s00376-019-9208-5.pdf; http://link.springer.com/article/10.1007/s00376-019-9208-5/fulltext.html

Abstract The datasets of two Ocean Model Intercomparison Project (OMIP) simulation experiments from the LASG/IAP Climate Ocean Model, version 3 (LICOM3), forced by two different sets of atmospheric surface data, are described in this paper. The experiment forced by CORE-II (Co-ordinated Ocean–Ice Reference Experiments, Phase II) data (1948–2009) is called OMIP1, and that forced by JRA55-do (surface dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis) data (1958–2018) is called OMIP2. First, the improvement of LICOM from CMIP5 to CMIP6 and the configurations of the two experiments are described. Second, the basic performances of the two experiments are validated using the climatological-mean and interannual time scales from observation. We find that the mean states, interannual variabilities, and long-term linear trends can be reproduced well by the two experiments. The differences between the two datasets are also discussed. Finally, the usage of these data is described. These datasets are helpful toward understanding the origin system bias of the fully coupled model.