ZHU Yuan, CHEN Yilun, WEI Jun, LI Weibiao. 2025: Tropical cyclone activity characteristics and simulation bias analysis based on FGOALS-f3 model. Acta Meteorologica Sinica. DOI: 10.11676/qxxb2026.20250083
Citation: ZHU Yuan, CHEN Yilun, WEI Jun, LI Weibiao. 2025: Tropical cyclone activity characteristics and simulation bias analysis based on FGOALS-f3 model. Acta Meteorologica Sinica. DOI: 10.11676/qxxb2026.20250083

Tropical cyclone activity characteristics and simulation bias analysis based on FGOALS-f3 model

  • The High Resolution Model Intercomparison Project (HighResMIP) is a new component of the Sixth Coupled Model Intercomparison Project (CMIP6). Within this framework, this study employs the China Meteorological Administration (CMA) Best Track Dataset (2002–2014), the GPM IMERG precipitation product, and ERA5 reanalysis data to compare the performance of high- and low-resolution versions of the FGOALS-f3 climate model in simulating tropical cyclone (TC) tracks, intensity, and precipitation, and further investigates the sources of simulation biases. The results show that with increased resolution, the model’s ability to simulate TC frequency and intensity is improved. Specifically, the correlation coefficient between simulated TC track frequency and observations rises from 0.85 to 0.90 in the high-resolution version; moreover, the high-resolution model is able to capture super typhoons with wind speeds exceeding 53 m/s, whereas the low-resolution version fails to reproduce strong typhoons with wind speeds greater than 41.5 m/s. In terms of precipitation, the high-resolution version demonstrates improvements in both the spatial distribution and relative contribution of TC rainfall, more realistically capturing precipitation over the ocean, and increasing the TC rainfall contribution rate by 18.02% compared with the low-resolution model. These improvements are mainly attributed to the high-resolution model’s better representation of regional vorticity distribution and vertical wind shear, which are key large-scale environmental factors. However, the model significantly overestimates island precipitation, particularly in the high-resolution version, where the maximum overestimation reaches 121%. This bias is likely due to the model’s overestimation of orographic uplift effects and moisture convergence over islands. Future simulations should focus on reducing the overestimation of precipitation associated with island topography.
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