Abstract
Indian Ocean Dipole (IOD) exerts a substantial influence over wind speed (WS) in the Tropical Indian Ocean (TIO), yet climate model's potential to replicate the observed IOD impact on WS has not been estimated. This study assesses 24 CMIP6 models to determine their ability to replicate the impact of the Indian Ocean Dipole (IOD) on wind speed (WS) in the Tropical Indian Ocean (TIO) during the JJA season from 1958 to 2014. The observation data for WS is obtained from fifth generation European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5). In the CMIP6 models, IOD portrays a crucial role to simulate WS across the tropical Indian Ocean. The efficacy of models is computed based on three skill metric criteria such as interannual variability score (IVS), M-Score, and root mean square error (RMSE). A total rank has been evaluated based on the three-skill metrics. The top ten best performing models are CESM2, EC-Earth3, ACCESS-ESM1-5, EC-Earth3-Veg-LR, MMM, NorESM2-LM, CESM2-WACCM, EC-Earth3-Veg, MPI-ESM1-2-HR, and FIO-ESM2-0. Despite this, significant biases are found in the CMIP6 models, indicating a moderate overall ability to capture WS responses to IOD over the Indian Ocean.