新的诊断海面电流场可以追踪黄海漂浮藻类的踪迹
Jang-Geun Choi1, Deoksu Kim2, Jisun Shin3
1Center for Ocean Engineering, University of New Hampshire, Durham, NH 03824, United States.
Marine pollution bulletin
|September 13, 2023
概括
新的诊断速度场可以准确地追踪黄海中的浮动藻类,如Ulva prolifera和Sargassum horneri. 这种方法为生态研究的复杂数值模型提供了一个更简单,更有效的替代方案.
科学领域:
- 海洋学 海洋学 海洋学
- 海洋生物学 海洋生物学
- 计算流体动力学的流体动力学.
背景情况:
- 精确模拟漂浮藻类需要精确的表面速度场.
- 现有的再分析数据集可能在代表局部海洋动态方面存在局限性.
研究的目的:
- 根据一般化埃克曼 (GE) 理论来导出和验证新的诊断速度场,用于追踪漂浮藻类.
- 将诊断速度场的性能与黄海 (YS) 的再分析数据集进行比较.
- 评估这些领域对模拟特定藻类物种运输的实用性.
主要方法:
- 使用GE理论推导诊断速度场.
- 对流浪者观测进行验证,并与两个重新分析数据集进行比较.
- 对Ulva prolifera (2011年7月) 和Sargassum horneri (2017年5月) 的粒子跟踪实验.
- 模拟漂流者轨迹和估计错误积累速度.
主要成果:
- 诊断速度场的准确性与重新分析数据集的准确性相当,有时甚至更高.
- 使用诊断场的模拟显示出与卫星图像和实地观测更好的一致性.
- 对每个速度场的错误积累速度进行了分析.
结论:
- 来自GE理论的诊断速度场是模拟浮在表面的物质和生物的卓越工具.
- 这种方法为生态预测的重型数值模型提供了一个计算效率高的替代方案.
- 该方法很容易适用于研究藻类繁殖动态和海洋环境中的运输.
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