LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project
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LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project Pengfei LIN1,4, Zhipeng YU1,4, Hailong LIU*1,4, Yongqiang YU1,4, Yiwen LI1,4, Jirong JIANG2, Wei XUE3, Kangjun CHEN1, Qian YANG1,4, Bowen ZHAO1,4, Jilin WEI1,4, Mengrong DING1,4, Zhikuo SUN1,4, Yaqi WANG1,4, Yao MENG1,4, Weipeng ZHENG1,4, and Jinfeng MA1 1LASG,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2Computer
Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
3Department 4College
of Computer Science and Technology, Tsinghua University, Beijing 100084, China
of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China (Received 29 September 2019; revised 19 November 2019; accepted 5 December 2019) 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. Key words: OMIP, CMIP6, ocean–sea-ice model, model bias Citation: Lin, P. F., and Coauthors, 2020: LICOM model datasets for the CMIP6 Ocean Model Intercomparison Project. Adv. Atmos. Sci., 37(3), 239−249, https://doi.org/10.1007/s00376-019-9208-5. Article Highlights:
• The OMIP1 and OMIP2 simulation datasets produced by LICOM3 are described. • The mean states, interannual variabilities, and long-term linear trends can be reproduced well by the two experiments.
1. Background and summary The Ocean Model Intercomparison Project (OMIP) is one of the endorsed Model Intercomparison Projects in phase 6 of the Coupled Model Intercomparison Project (CMIP6). The purpose of OMIP is to understand the origin of systematic model biases. The subject also belongs to one of the scientific questions of CMIP6. The primary contribution of OMIP to the World Climate Research Programme’s Grand Challenges in Climate Science is in regional sea level change and near-term (climate/decadal) prediction. The OMIP experiment is a hindcast experiment for global coupled ocean–sea-ice models, inheriting the protocol from
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