论文标题

全面海洋模型的高参数化方法:图像点的对流

A hyper-parameterization method for comprehensive ocean models: Advection of the image point

论文作者

Shevchenko, Igor, Berloff, Pavel

论文摘要

低分辨率下的理想化和全面的海洋模型不能繁殖类似于高分辨率解决方案中介绍的流动结构。尽管造成这种情况有各种潜在的物理原因,但从动态系统的角度来看,所有这些原因都表现为低分辨率轨迹,避免了参考溶液所占据的相位空间(投影到粗网格上的高分辨率解决方案)。为了解决这个问题,最近提出了一套高参数化方法,并在理想化的海洋模型上成功测试了。在这项工作中,我们第一次将一种高参数化方法(图像点的对流)应用于北大西洋的全面而不是理想化的一般循环模型。 结果表明,通过重现海湾流流的大型和小规模特征,高参数化方法可显着改善非涡流解析解决方案。所提出的方法比粗网格海洋模型的单个运行速度要快得多,不需要对模型进行修改,并且易于实现。此外,该方法不仅可以将参考解决方案作为输入数据,还可以将不同来源(漂流者,气象站等)的真实测量值或两者组合。所有这些为使用数学模型和/或测量的海洋建模者提供了极大的灵活性。

Idealized and comprehensive ocean models at low resolutions cannot reproduce nominally-resolved flow structures similar to those presented in the high-resolution solution. Although there are various underlying physical reasons for this, from the dynamical system point of view all these reasons manifest themselves as a low-resolution trajectory avoiding the phase space occupied by the reference solution (the high-resolution solution projected onto the coarse grid). In order to solve this problem, a set of hyper-parameterization methods has recently been proposed and successfully tested on idealized ocean models. In this work, for the first time we apply one of hyper-parameterization methods (Advection of the image point) to a comprehensive, rather than idealized, general circulation model of the North Atlantic. The results show that the hyper-parameterization method significantly improves a non-eddy-resolving solution towards the reference eddy-resolving solution by reproducing both the large- and small-scale features of the Gulf Stream flow. The proposed method is much faster than even a single run of the coarse-grid ocean model, requires no modification of the model, and is easy to implement. Moreover, the method can take not only the reference solution as input data but also real measurements from different sources (drifters, weather stations, etc.), or combination of both. All this offers a great flexibility to ocean modellers working with mathematical models and/or measurements.

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