Analysis of Wave-Induced Stokes Transport Effects on Sea Surface Temperature Simulations in the Western Pacific Ocean

This study investigated the performance of two ocean wave models, that is, Simulation Wave Nearshore (SWAN) and WAVEWATCH-III (WW3), interannual seasonal variability transport induced by Stokes drift during period from 1989 to 2019. Three types sea surface wind products were used for simulation: European Centre Medium-Range Weather Forecasts (ECMWF) Interim, Cross Calibrated Multi-Platform Version 2.0 (CCMP V2.0) Remote Sensing Systems (RSS), National Centers Environmental Prediction (NCEP) Global Forecast System (GFS). The modeling was validated against measurements Jason-2 altimeter in 2015. analysis found root mean square error (RMSE) significant height (SWH) WW3 model using CCMP data 0.17 m, which is less than ~0.6-m RMSE SWH SWAN other data. simulations indicated up 2 m2/s higher South China Sea Japan at regions January. variation showed generally increased 0.25 0.35 2018. We also accuracy temperature (SST) simulation Stony Brook Parallel Ocean Model (sbPOM) improved as much 0.5 °C when considered validate sbPOM-simulated SST Argo 2012–2015. In particular, has a negative effect on Summer (March June) positive Autumn (July September), probably caused tropical cyclones.