Climate Change Research ›› 2019, Vol. 15 ›› Issue (5): 503-509.doi: 10.12006/j.issn.1673-1719.2019.086

• Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) and Chinese Contribution • Previous Articles     Next Articles

Short commentary on CMIP6 Ocean Model Intercomparison Project (OMIP)

Zi-Peng YU1,2,Peng-Fei LIN1,2(),Hai-Long LIU1,2,Yi-Wen LI1,2,Ya-Qi WANG1,2,Zhi-Kuo SUN1,2,Qian YANG1,2,Jin-Feng MA1,2,Jiang-Bo JIN3,Meng-Rong DING1,2,Yao MENG1,2   

  1. 1 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    2 College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
    3 International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • Received:2019-04-16 Revised:2019-06-02 Online:2019-09-30 Published:2019-09-30
  • Contact: Peng-Fei LIN E-mail:linpf@mail.iap.ac.cn

Abstract:

The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the CMIP6. OMIP is dedicated to the important CMIP6 science questions of investigating the origins and consequences of systematic model biases. What’s more, OMIP primarily contributes to the regional sea level change and near-term projection grand challenges put forward by WCRP (World Climate Research Program). OMIP provides an experimental protocol for global ocean/sea-ice simulations, tracer experiments and interactive biogeochemical experiments forced with common atmospheric data sets to investigate the systematic model biases. Simultaneously, OMIP provides a detailed protocol for ocean diagnostics to be saved as part of CMIP6, and then it helps evaluate, understand, and improve the ocean, sea-ice/tracer, and biogeochemical components of climate and Earth system models contributing to CMIP6.

Key words: Systematic model biases, Ocean variables, Diagnostic protocol, Ocean Model Intercomparison Project (OMIP)

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