Stochastic Transport in Upper Ocean Dynamics - STUOD 2021 Workshop, London, UK, September 20-23
Stochastic Transport in Upper Ocean Dynamics - STUOD 2021 Workshop, London, UK, September 20-23
复制标题
上层海洋动力学中的随机传输 - STUOD 2021 研讨会，英国伦敦，9 月 20-23 日
DOI：
10.1007/978-3-031-18988-3_9
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Hu R
中科院分区：
文献类型：
--
作者：
Hu R
我们使用随机平流(SALT)和随机强迫(SLLT)框架对原始方程(PE)的随机参数化进行了数值研究。之所以选择这些框架，是因为它们引入了保持结构的随机性，将输运速度和流体动量分别分解为漂移部分和随机部分。在本文中，我们发展了一种新的定标方法来实现SFlt的动量分解，并与实现SALT的拉格朗日路径方法进行了比较。然后使用修改的FESOM2代码对所得到的随机原始方程进行数值积分。对于某些随机参数的选择，我们发现盐会引起涡动能场的增加和空间谱的改善。SLT也显示出这些领域的改善，尽管程度较小。然而，盐确实有一个缺点，那就是温度过度向下扩散。
We present a numerical investigation into the stochastic parameterisations of the Primitive Equations (PE) using the Stochastic Advection by Lie Transport (SALT) and Stochastic Forcing by Lie Transport (SFLT) frameworks. These frameworks were chosen due to their structure-preserving introduction of stochasticity, which decomposes the transport velocity and fluid momentum into their drift and stochastic parts, respectively. In this paper, we develop a new calibration methodology to implement the momentum decomposition of SFLT and compare with the Lagrangian path methodology implemented for SALT. The resulting stochastic Primitive Equations are then integrated numerically using a modification of the FESOM2 code. For certain choices of the stochastic parameters, we show that SALT causes an increase in the eddy kinetic energy field and an improvement in the spatial spectrum. SFLT also shows improvements in these areas, though to a lesser extent. SALT does, however, have the drawback of an excessive downwards diffusion of temperature.