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Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea

机译:同化沿海和开阔的海洋生物地球化学数据,提高地中海浮游植物模拟

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摘要

The high spatial and temporal variability of biogeochemical features, induced by local dynamics and terrestrial and atmospheric inputs in shelf seas, are challenging issues for the implementation of data assimilation in these areas. The objective of this study is to integrate satellite ocean-colour observations with a coupled physical-biogeochemical model in order to improve the spatiotemporal descriptions of chlorophyll and other biogeochemical variables in the Mediterranean shelf seas. We adopted a specifically developed three-dimensional variational data assimilation scheme for the assimilation of satellite chlorophyll data. The non-homogeneous vertical component, the non-uniform and direction-dependent horizontal component of the background error covariance are the key features of the upgraded three-dimensional variational data assimilation scheme for shelf seas. The application of the new assimilation scheme significantly improves chlorophyll estimates in shelf seas, particularly in the representation of their spatial and temporal variability. Based on these results, we provide an estimate of the annual primary production of the Mediterranean basin.
机译:由本地动态和地球和陆地和陆地投入诱导的生物地球化学特征的高空间和时间变异性是在这些地区实施数据同化的挑战性问题。本研究的目的是将卫星海洋观测与偶联的物理生物地球化学模型集成,以改善地中海货物海洋中叶绿素和其他生物地冰晶变量的时空描述。我们采用了专门开发的三维变分数据同化方案,用于卫星叶绿素数据的同化。背景误差协方差的非均匀垂直分量,非均匀和方向依赖性水平分量是货物海域升级的三维变分数据同化方案的关键特征。新的同化方案的应用显着改善了货物在货物中的叶绿素估计,特别是在其空间和时间变异性的代表中。根据这些结果,我们提供了地中海盆地年初产量的估计。

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