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Tracing the trajectory of pelagic Sargassum using satellite monitoring and Lagrangian transport simulations in the East China Sea and Yellow Sea

机译:利用卫星监测和拉格朗日运移模拟在中国东海和黄海中绘制浮游藻类的轨迹

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Northeastward drifts of massive Sargassum patches were observed in the East China Sea (ECS) and Yellow Sea (YS) by the Geostationary Ocean Color Imager (GOCI) in May 2017. Coverage of the brown macroalgae patches was the largest ever recorded in the ECS and YS. Three-dimensional circulation modeling and Lagrangian particle tracking simulations were conducted to reproduce drifting trajectories of the macroalgae patches. The trajectories of the macroalgae patches were controlled by winds as well as surface currents. A windage (leeway) factor of 1% was chosen based on sensitivity simulations. Southerly winds in May 2017 contributed to farther northward intrusion of the brown macroalgae into the YS. Although satellite observation and numerical modeling have their own limitations and associated uncertainties, the two methods can be combined to find the best estimate of Sargassum patch trajectories. When satellites were unable to capture all patches because of clouds and sea fog in the ECS and YS, the Lagrangian particle tracking model helped to track and restore the missing patches in satellite images. This study suggests that satellite monitoring and numerical modeling are complementary to ensure accurate tracking of macroalgae patches in the ECS and YS.
机译:2017年5月,地球静止海洋彩色成像仪(GOCI)在东中国海(ECS)和黄海(YS)观察到大规模的猿藻斑块向东北漂移。棕色巨藻斑块的覆盖度是有史以来最大的一次YS。进行了三维循环建模和拉格朗日粒子跟踪模拟,以重现大型藻类斑块的漂移轨迹。巨藻斑块的轨迹受风和表面流的控制。根据灵敏度模拟选择了1%的风阻(回程)因子。 2017年5月的南风进一步推动了棕色大型藻类向北侵入YS。尽管卫星观测和数值模拟有其自身的局限性和相关的不确定性,但可以将这两种方法结合起来,以找到Sargassum斑块轨迹的最佳估计。当由于ECS和YS中的云和海雾而使卫星无法捕获所有补丁时,拉格朗日粒子跟踪模型有助于跟踪和恢复卫星图像中丢失的补丁。这项研究表明,卫星监测和数值模拟是相辅相成的,以确保准确跟踪ECS和YS中的巨藻斑块。

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