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

中文翻译：

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分析波浪诱导斯托克斯输运对西太平洋海面温度模拟的影响

本研究调查了模拟波浪近岸 (SWAN) 和 WAVEWATCH-III (WW3) 两种海浪模型的性能，以及 1989 年至 2019 年期间由斯托克斯漂移引起的运输的年际和季节变化。 三种类型海面风产品用于波浪模拟：欧洲中期天气预报中心 (ECMWF) Interim、遥感系统 (RSS) 的交叉校准多平台版本 2.0 (CCMP V2.0) 和国家环境预测中心 (NCEP) 全球预测系统 (GFS)。该模型根据 2015 年 Jason-2 高度计的波浪测量值进行了验证。 分析发现，使用 CCMP 风数据的 WW3 模型的有效波高 (SWH) 的均方根误差 (RMSE) 为 0.17 m，小于比~0。来自使用其他类型风数据的 SWAN 模型的 SWH 的 6 米均方根误差。使用 CCMP 风数据的 WW3 模型模拟表明斯托克斯传输高达 2 m1月份南海和日本海比其他海域高^2个/s。年际变化表明，斯托克斯输运量普遍从1989 年的0.25 m ² /s 增加到2018年的 0.35 m ² /s。我们还发现，使用 Stony Brook Parallel Ocean Model ( sbPOM) 提高了 0.5 °C，当考虑斯托克斯传输时，根据 2012-2015 年 Argo 的测量结果验证 sbPOM 模拟的 SST。特别是斯托克斯传输对夏季（3-6 月）有负面影响，对秋季（7-9 月）有正面影响，这可能是由热带气旋引起的。