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Assimilation of the seabird and ship drift data in the north-eastern sea of Japan into an operational ocean nowcast/forecast system

机译:将日本东北海的海鸟和船只漂移数据吸收到可操作的海洋临近预报/预报系统中

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摘要

At the present time, ocean current is being operationally monitored mainly by combined use of numerical ocean nowcast/forecast models and satellite remote sensing data. Improvement in the accuracy of the ocean current nowcast/forecast requires additional measurements with higher spatial and temporal resolution as expected from the current observation network. Here we show feasibility of assimilating high-resolution seabird and ship drift data into an operational ocean forecast system. Data assimilation of geostrophic current contained in the observed drift leads to refinement in the gyre mode events of the Tsugaru warm current in the north-eastern sea of Japan represented by the model. Fitting the observed drift to the model depends on ability of the drift representing geostrophic current compared to that representing directly wind driven components. A preferable horizontal scale of 50 km indicated for the seabird drift data assimilation implies their capability of capturing eddies with smaller horizontal scale than the minimum scale of 100 km resolved by the satellite altimetry. The present study actually demonstrates that transdisciplinary approaches combining bio-/ship- logging and numerical modeling could be effective for enhancement in monitoring the ocean current.
机译:目前,主要通过数字海洋临近预报/预报模型和卫星遥感数据的结合使用来对洋流进行操作监测。要提高海流临近预报/预报的精度,就需要进行其他测量,这些测量应具有当前观测网络所期望的更高的时空分辨率。在这里,我们展示了将高分辨率海鸟和船只漂移数据同化为可操作的海洋预报系统的可行性。观测到的漂移中包含的地转流数据的同化导致该模型所代表的日本东北海津轻暖流的回旋模式事件的细化。将观测到的漂移拟合到模型取决于与直接风驱组件相比,代表地转流的漂移能力。对于海鸟漂移数据同化而言,最好的水平尺度为50 km,这意味着它们能够捕获水平尺度小于卫星测高仪解析的最小尺度100 km的漩涡。本研究实际上表明,结合生物/船舶测井和数值模拟的跨学科方法可以有效地增强对海流的监测。

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