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OSSE for a sustainable marine observing network in the Sea of Marmara

机译:在马尔马拉海的可持续海洋观测网络的OSSE

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An observing system simulation experiment (OSSE) is presented in the Sea of Marmara. A high-resolution ocean circulation model (FESOM) and an ensemble data assimilation tool (DART) are coupled. The OSSE methodology is used to assess the possible impact of a FerryBox network in the eastern Sea of Marmara. A reference experiment without assimilation is performed. Then, synthetic temperature and salinity observations are assimilated along the track of the ferries in the second experiment. The results suggest that a FerryBox network in the Sea of Marmara has potential to improve the forecasts significantly. The salinity and temperature errors get smaller in the upper layer of the water column. The impact of the assimilation is negligible in the lower layer due to the strong stratification. The circulation in the Sea of Marmara, particularly the Bosphorus outflow, helps to propagate the error reduction towards the western basin where no assimilation is performed. Overall, the proposed FerryBox network can be a good start to designing an optimal sustained marine observing network in the Sea of Marmara for assimilation purposes.
机译:在马尔马拉的海洋中介绍了观察系统仿真实验(OSSE)。高分辨率海洋循环模型(FESOM)和集合数据同化工具(DART)耦合。 OSSE方法用于评估errybox网络在马尔马拉东海的可能影响。进行不同化同化的参考实验。然后,在第二种实验中沿着渡轮轨道同化合成温度和盐度观察。结果表明,马尔马拉海中的渡轮网络有可能显着改善预测。水柱上层的盐度和温度误差变小。由于强烈的分层,下层的影响可忽略不计。马尔马拉海洋中的循环,特别是博斯普鲁斯出流出,有助于将误差蔓延到西部盆地,其中没有进行同化。总的来说,拟议的渡轮网络可以是在马尔马拉海域设计的最佳持续海洋观测网络以进行同化目的的良好开始。

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