Oceanography has entered an era of new observing platforms, such as biogeochemical‐Argo floats and gliders, some of which will provide three‐dimensional maps of essential ecosystem variables on the North‐West European (NWE) Shelf. In a foreseeable future operational centers will use multi‐platform assimilation to integrate those valuable data into ecosystem reanalysis and forecast systems. Here we address some important questions related to glider biogeochemical data assimilation (DA) and introduce multi‐platform DA in a preoperational model of the NWE Shelf sea ecosystem. We test the impact of the different multi‐platform system components (glider vs. satellite, physical vs. biogeochemical) on the simulated biogeochemical variables. To characterize the model performance, we focus on the period around the phytoplankton spring bloom, since the bloom is a major ecosystem driver on the NWE Shelf. We found that the timing and magnitude of the phytoplankton bloom is insensitive to the physical DA, which is explained in the study. To correct the simulated phytoplankton bloom one needs to assimilate chlorophyll observations from glider or satellite Ocean Color (OC) into the model. Although outperformed by the glider chlorophyll assimilation, we show that OC assimilation has mostly desirable impact on the sub‐surface chlorophyll. Since the OC assimilation updates chlorophyll only in the mixed layer, the impact on the sub‐surface chlorophyll is the result of the model dynamical response to the assimilation. We demonstrate that the multi‐platform assimilation combines the advantages of its components and always performs comparably to its best performing component.

中文翻译：

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建立北海生物地球化学的多平台同化系统

海洋学已经进入了一个新的观测平台时代，例如生物地球化学-阿戈浮标和滑翔机，其中一些将提供西北欧洲（NWE）大陆架上基本生态系统变量的三维地图。在可预见的将来，运营中心将使用多平台同化将那些有价值的数据集成到生态系统重新分析和预测系统中。在这里，我们将解决与滑翔机生物地球化学数据同化（DA）有关的一些重要问题，并在NWE陆架海生态系统的运行前模型中引入多平台DA。我们测试了不同的多平台系统组件（滑翔机与卫星，物理与生物地球化学）对模拟生物地球化学变量的影响。为了表征模型的性能，我们集中在浮游植物春季开花的时期，因为绽放是NWE架上的主要生态系统驱动力。我们发现浮游植物开花的时间和幅度对物理DA不敏感，这在研究中得到了解释。要纠正模拟的浮游植物水华，需要将滑翔机或卫星海洋颜色（OC）中的叶绿素观测值吸收到模型中。尽管在滑翔机叶绿素同化作用方面胜于其他人，但我们证明了OC的同化作用对地下叶绿素的影响最为理想。由于OC同化仅在混合层中更新叶绿素，因此对表面下叶绿素的影响是模型对同化的动态响应的结果。我们证明了多平台同化结合了其组件的优势，并且始终能够与性能最佳的组件相提并论。