WENJUN LIANG, Wenjie Dong, Danya Xu, Bin Wang, Li Liu, Yanli Tang, Jie Yang, Song Wang, Fuhai Dao, Duofan Zheng, Chenhao Li, Fei Liu, Shaobo Qiao, Xian Zhu, Kangyou Zhong, Siqi Li, Lijuan Li, Nan Wei, Chiyue Lin, Feng Pan, Qingyang Li, Hui Hu. 2024: An Introduction to the Synthesis Community Integrated Model Version 2 (SYCIM2.0) and Its Simulation on the East Asian Summer Monsoon. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-024-4178-7
Citation: WENJUN LIANG, Wenjie Dong, Danya Xu, Bin Wang, Li Liu, Yanli Tang, Jie Yang, Song Wang, Fuhai Dao, Duofan Zheng, Chenhao Li, Fei Liu, Shaobo Qiao, Xian Zhu, Kangyou Zhong, Siqi Li, Lijuan Li, Nan Wei, Chiyue Lin, Feng Pan, Qingyang Li, Hui Hu. 2024: An Introduction to the Synthesis Community Integrated Model Version 2 (SYCIM2.0) and Its Simulation on the East Asian Summer Monsoon. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-024-4178-7

An Introduction to the Synthesis Community Integrated Model Version 2 (SYCIM2.0) and Its Simulation on the East Asian Summer Monsoon

  • Based on the C-Coupler platform, the semi-unstructured Climate System Model, Synthesis Community Integrated Model version 2 (SYCIM2.0), has been developed at the School of Atmospheric Sciences, Sun Yat-sen University. SYCIM2.0 aims to meet the demand for seamless climate prediction through accurate climate simulation and projection. This paper provides an overview of SYCIM2.0, highlighting its key features, especially the coupling of an unstructured ocean model, and the tuning process. An extensive evaluation of its performance, focusing on the East Asian Summer Monsoon (EASM), is presented based on long-term simulations with fixed external forcing. The results suggest that after nearly 240 years of integration, SYCIM2.0 achieves a quasi-equilibrium state, albeit with small trends in net radiation flux at the top-of-atmosphere (TOA), Earth’s surface, and global mean near-surface temperatures. Compared to observational and reanalysis data, the model realistically simulates spatial patterns of sea surface temperature (SST), precipitation centers, their annual cycles, and lower-level wind fields in the EASM region. However, it exhibits a weakened and eastward-shifted Western Pacific Subtropical High (WPSH), resulting in an associated precipitation bias. SYCIM2.0 robustly captures the dominant mode of the EASM and its close relationship with the El Niño-Southern Oscillation (ENSO), but exhibits relatively poor performance in simulating the second leading mode and the associated air–sea interaction processes. Further comprehensive evaluations of SYCIM2.0 will be conducted in future studies.
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