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HIGH FREQUENCY RADAR DATA ASSIMILATION IN THE MONTEREY BAY

机译:蒙特雷湾的高频雷达数据同化

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Surface current maps derived from High Frequency (HF) Doppler radar observations provide valuable information for numerical ocean models' validation, as well as for improvement of model nowcasts and forecasts. Assimilation of HF radar (CODAR)-derived surface currents into the fine-resolution numerical ocean model of the Monterey Bay Area is discussed in this paper. Effective data assimilation techniques for surface information rely on methods for projecting this information into the interior of the ocean for improving dynamical forecasts of the currents and hydrographic structure of the ocean's interior. For this reason, special attention is devoted in this paper to the sub-surface projection of CODAR-derived surface information in three-dimensional data assimilation of surface currents. Different approaches based on the modification of the ICON model surface forcing (wind forcing) as well as direct instantaneous projection of surface information into the subsurface of the model are presented and compared. The significant improvement of correlation between the model and ADCP subsurface currents was achieved when the subsurface projection of the corrections to the model surface currents was based on the Ekman theory.
机译:从高频(HF)多普勒雷达观测结果的表面电流图提供了有价值的信息,用于数值海洋模型的验证,以及改进模型毫无目的地广播和预测。本文讨论了HF雷达(Codar)的辐射表面电流的同化蒙特大湾地区的微分辨率数值海洋模型。表面信息的有效数据同化技术依赖于将该信息投入到海洋内部的方法中,以改善海洋内部电流的动态预测。因此,在本文中专门专注于对表面电流的三维数据同化中的密码衍生表面信息的子表面投影。提出并比较了基于图标模型表面强制修改(风强制)以及将表面信息的直接瞬时投影进入模型的地下的不同方法。当校正对模型表面电流的地下投影基于Ekman理论时,实现了模型和ADCP地下电流之间的相关性的显着提高。

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