Tropical instability waves and their relationships with large-scale oceanic thermal conditions, revealed in ROMS-based hybrid coupled model of the tropical Pacific
摘要
This study evaluates the performance of a Regional Ocean Modeling System-based Hybrid Coupled Model (HCMROMS) in simulating tropical instability waves (TIWs), their modulation by the El Niño-Southern Oscillation (ENSO) in the tropical Pacific Ocean, and their impacts on the mean state thermal conditions of the ocean. HCMROMS integrates the Regional Ocean Modeling System (ROMS) with a statistical atmospheric model for surface wind stress anomalies based on Singular Value Decomposition (SVD), aiming to accurately represent air-sea coupling interactions and TIWs-related ocean mesoscale processes. The model successfully reproduces the climatological state and seasonal variability of sea surface temperature (SST) in the tropical Pacific. In simulating ENSO, HCMROMS captures the quasi-three-year oscillation characteristic of ENSO. Regarding TIWs, the model accurately reproduces their main features and periods. Additionally, HCMROMS shows a significantly negative correlation between the strength of TIWs and the Niño3.4 index, being consistent with empirical analyses from observations. The model’s ability to simulate the interaction between TIWs and ENSO allows us to analyze the TIWs-related energy and heat budgets. The model’s energy budget reveals that the strength of TIWs is strongly modulated by ENSO phases. The study also examines the feedback effects of TIWs on the mean state through a heat budget analysis. These results indicate that TIWs play a crucial role in the climatological heat balance, with the amplitude being comparable to sea surface heat flux. These findings underscore the importance of accurately simulating TIWs to better represent and understand their role in the tropical Pacific climate system. Overall, HCMROMS demonstrated robust performance in representing both ENSO and TIWs, offering a reliable tool for future studies on their interactions and the broader dynamics of the tropical Pacific Ocean. The model’s precise representations of TIWs and their relationship with ENSO highlight its potential in advancing our understanding of ocean-atmosphere interactions and improving climate predictions.