Numerical wave models are used for a wide range of applications, from the global ocean to coastal scales. Here we report on significant improvements compared to the previous hindcast detailed in Part 2 of the present study by Rascle and Ardhuin (2013). This result was obtained by updating forcing fields, adjusting the spectral discretization and retuning wind wave growth and swell dissipation parameters. Most of the model calibration and performance analysis is done using significant wave heights ($H_s$) from the recent re-calibrated and denoised satellite altimeter data set provided by the European Space Agency Climate Change Initiative (ESA-CCI), with additional verification using spectral buoy data. We find that, for the year 2011, using wind fields from the recent ERA5 reanalysis provides lower scatter against satellite $H_s$ data compared to historical ECMWF operational analyses, but still yields a low bias on wave heights that can be mitigated by re-scaling wind speeds larger than 20 m/s. Alternative blended wind products can provide more accurate forcing in some regions, but were not retained because of larger errors elsewhere. We use the shape of the probability density function of $H_s$ around 2 m to fine tune the swell dissipation parameterization. The updated model hindcast appears to be generally more accurate than the previous version, and can be more accurate than the ERA5 $H_s$ estimates, in particular in strong current regions and for $H_s>7$ m.

数值波浪模型用于广泛的应用，从全球海洋到沿海尺度。在这里，我们报告了与 Rascle 和 Ardhuin（2013 年）在本研究第 2 部分中详述的先前后报相比的显着改进。这一结果是通过更新强迫场、调整频谱离散化和重新调整风浪增长和涌浪耗散参数获得的。大多数模型校准和性能分析是使用显着波高（$H_{秒}$) 来自欧洲航天局气候变化倡议 (ESA-CCI) 提供的最近重新校准和降噪的卫星高度计数据集，并使用光谱浮标数据进行了额外验证。我们发现，对于 2011 年，使用来自最近的 ERA5 再分析的风场提供了对卫星的较低散射$H_{秒}$数据与历史 ECMWF 操作分析相比，但仍然对波高产生低偏差，可以通过重新调整大于 20 m/s 的风速来减轻这种偏差。替代的混合风产品可以在某些地区提供更准确的强迫，但由于其他地方的误差较大而没有保留。我们使用概率密度函数的形状$H_{秒}$大约 2 m 以微调膨胀耗散参数化。更新后的模型后报似乎比以前的版本更准确，并且可以比ERA5更准确$H_{秒}$ 估计，特别是在当前强劲的地区和 $H_{秒}>7$ 米。