Abstract This article describes a 10 year regional ocean reanalysis of the western Coral Sea and Great Barrier Reef (GBR) from 2006–2015. Here we use the Regional Ocean Modelling System (ROMS) at 4 km resolution and EnOI (Ensemble Optimal Interpolation) data assimilation. We also account for river freshwater discharge at the coast using hydrological stream gauge observations. The system appears to constrain features of the deep ocean circulation that are important for cross-shelf exchanges such as the spatio-temporal locations of mesoscale eddies and boundary currents. Accuracy is evaluated with forecast innovation errors respecting available observations. A four-dimensional climatological atlas of water mass properties and currents, representing 10 years of synthesis between model and data is then presented. This illustrates seasonal and climatic processes driving changes in the region, such as the El-Nino Southern Oscillation (ENSO) and its influence on sea temperature and freshwater flux to the shelf from rivers. On the shelf where dense observation coverage is limited to satellite sea surface temperature (SST), we find where SST forecast errors are low and correlations between SST and bottom temperatures are significant and take this as a reliable predictor of bottom temperatures. Differences and correlations outside these parameters suggest areas where measurement of bottom temperature is likely to be important for a long-term and comprehensive monitoring and prediction system. The reanalysis provides a realistic physical and dynamic picture of the ocean at its given resolution that may be amenable to a variety of marine and environmental studies.

中文翻译：

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西部珊瑚海和大堡礁的海洋再分析

摘要 本文描述了 2006 年至 2015 年对西部珊瑚海和大堡礁 (GBR) 的 10 年区域海洋再分析。在这里，我们使用分辨率为 4 公里的区域海洋建模系统 (ROMS) 和 EnOI（集合最优插值）数据同化。我们还使用水文流计观测来计算海岸的河流淡水排放。该系统似乎限制了对跨大陆架交换很重要的深海环流特征，例如中尺度涡旋和边界流的时空位置。准确性是根据可用观察结果的预测创新误差来评估的。然后呈现了水团特性和水流的四维气候图谱，代表了模型和数据之间 10 年的综合。这说明了推动该地区变化的季节性和气候过程，例如厄尔尼诺南方涛动 (ENSO) 及其对海水温度和从河流流入陆架的淡水通量的影响。在密集观测覆盖范围仅限于卫星海面温度 (SST) 的大陆架上，我们发现 SST 预测误差较低且 SST 与底部温度之间的相关性显着的地方，并将其作为底部温度的可靠预测指标。这些参数之外的差异和相关性表明底部温度测量可能对长期和综合监测和预测系统很重要的区域。再分析提供了海洋在给定分辨率下的真实物理和动态图像，可能适用于各种海洋和环境研究。