Assimilation of Ocean-Color Plankton Functional Types to Improve Marine Ecosystem Simulations
Assimilation of Ocean-Color Plankton Functional Types to Improve Marine Ecosystem Simulations
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DOI：
10.1002/2017jc013490
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发表时间：
2018-02-01
影响因子：
3.6
通讯作者：
Allen, J. I.
中科院分区：
文献类型：
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作者：
Ciavatta, S.;Brewin, R. J. W.;Allen, J. I.
我们将源于海洋颜色的浮游植物功能类型(PFT)同化到海洋生态系统模型中，以改进对陆架海生物地球化学指标和新兴特性的模拟。应用局部化集合卡尔曼滤波，将四种PFT(硅藻、甲藻、纳米浮游生物和微微浮游生物)的错误表征的叶绿素浓度以及用于比较的总叶绿素同化为东北大西洋的物理-生物地球化学模型。再分析模拟的时间跨度为1998-2003年。用稳健统计方法比较了参考模拟和再分析模拟在估算海洋颜色和现场生物地球化学数据方面的技巧。再分析在估算海色PFTs(除超微浮游生物外)以及未同化的总叶绿素方面均优于参考和同化的总叶绿素，使模式能够更好地模拟浮游生物群落结构。至关重要的是，重新分析改进了对未同化的PFTs以及磷酸盐和PCO(2)的现场数据的估计，影响了对海-气碳通量的模拟。然而，尽管浮游生物的硝酸盐摄取量增加，但重新分析进一步增加了模型对硝酸盐的高估。本文提出的方法很容易适用于其他模拟PFTs的生态系统模型，例如用于全球海洋碳通量的重新分析和陆架-海洋生态系统生物地球化学指标的业务预报。
We assimilated phytoplankton functional types (PFTs) derived from ocean color into a marine ecosystem model, to improve the simulation of biogeochemical indicators and emerging properties in a shelf sea. Error-characterized chlorophyll concentrations of four PFTs (diatoms, dinoflagellates, nanoplankton, and picoplankton), as well as total chlorophyll for comparison, were assimilated into a physical-biogeochemical model of the North East Atlantic, applying a localized Ensemble Kalman filter. The reanalysis simulations spanned the years 1998-2003. The skill of the reference and reanalysis simulations in estimating ocean color and in situ biogeochemical data were compared by using robust statistics. The reanalysis outperformed both the reference and the assimilation of total chlorophyll in estimating the ocean-color PFTs (except nanoplankton), as well as the not-assimilated total chlorophyll, leading the model to simulate better the plankton community structure. Crucially, the reanalysis improved the estimates of not-assimilated in situ data of PFTs, as well as of phosphate and pCO(2), impacting the simulation of the air-sea carbon flux. However, the reanalysis increased further the model overestimation of nitrate, in spite of increases in plankton nitrate uptake. The method proposed here is easily adaptable for use with other ecosystem models that simulate PFTs, for, e.g., reanalysis of carbon fluxes in the global ocean and for operational forecasts of biogeochemical indicators in shelf-sea ecosystems.