An intermediate coupled model for the tropical ocean-atmosphere system
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An intermediate ocean-atmosphere coupled model is developed to simulate and predict the tropical interannual variability. Originating from the basic physical framework of the Zebiak-Cane (ZC) model, this tropical intermediate couple model (TICM) extends to the entire global tropics, with a surface heat flux parameterization and a surface wind bias correction added to improve model performance and inter-basin connections. The model well reproduces the variabilities in the tropical Pacific and Indian basins. The simulated El Niño-Southern Oscillation (ENSO) shows a period of 3–4 years and an amplitude of about 2°C, similar to those observed. The variabilities in the Indian Ocean, including the Indian Ocean basin mode (IOBM) and the Indian Ocean Dipole (IOD), are also reasonably captured with a realistic relationship to the Pacific. However, the tropical Atlantic variability in the TICM has a westward bias and is overly influenced by the tropical Pacific. A 47-year hindcast experiment using the TICM for the period of 1970–2016 indicates that ENSO is the most predictable mode in the tropics. Skillful predictions of ENSO can be made one year ahead, similar to the skill of the latest version of the ZC model, while a “spring predictability barrier” still exists as in other models. In the tropical Indian Ocean, the predictability seems much higher in the west than in the east. The correlation skill of IOD prediction reaches 0.5 at a 5-month lead, which is comparable to that of the state-of-the-art coupled general circulation models. The prediction of IOD shows a significant “winter-spring predictability barrier”, implying combined influences from the tropical Pacific and the local sea-air interaction in the eastern Indian Ocean. The TICM has little predictive skill in the equatorial Atlantic for lead times longer than 3 months, which is a common problem of current climate models badly in need of further investigation.
KeywordsIntermediate coupled model ENSO IOD Prediction
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This study was supported by the National Key Research and Development Program of China (Grant No. 2017YFA0604202), the National Natural Science Foundation of China (Grant Nos. 41690124, 41690121, 41690120, 41530961 & 41705049) and the National Programme on Global Change and Air-Sea Interaction (Grant No. GASI-IPOVAI-06).
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