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ASSIMILATION OF BIO-OPTICAL PROPERTIES INTO COUPLED PHYSICAL, BIO-OPTICAL COASTAL MODEL

机译:将生物光学特性同化为物理,生物光学沿海模型

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摘要

Data assimilation experiments with the coupled physical, bio-optical model of Monterey Bay are presented. The approach is based on the representation of the error covariances in the subspace of the multivariate (bio-optical, physical) empirical orthogonal functions (EOFs) estimated from the model run. Estimated coupled bio-optical, physical error covariances are used in the Kalman gain update providing updates of coupled bio-optical properties in accord with the model dynamics and available observations. With the assimilation of satellite-derived bio-optical properties (chlorophyll-a and absorption due to phytoplankton), the model was able to reproduce intensity and tendencies in subsurface chlorophyll distributions observed at water samples locations in the Monterey Bay, CA. Data assimilation also improved agreement between the observed and model-predicted ratios between diatoms and small phytoplankton populations.
机译:提出了具有蒙特雷湾物理,生物光学耦合模型的数据同化实验。该方法基于从模型运行估计的多元(生物光学,物理)经验正交函数(EOF)的子空间中误差协方差的表示。在卡尔曼增益更新中使用估计的耦合生物光学,物理误差协方差,以根据模型动力学和可用观测值提供耦合生物光学特性的更新。通过卫星衍生的生物光学特性(叶绿素-a和浮游植物吸收)的吸收,该模型能够再现在加利福尼亚州蒙特雷湾的水样位置观察到的地下叶绿素分布的强度和趋势。数据同化还改善了硅藻与小型浮游植物种群之间的观测比率与模型预测比率之间的一致性。

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