Keshav J. Raja , Maarten C. Buijsman , Alexandra Bozec , Robert W. Helber , Jay F. Shriver , Alan Wallcraft , Eric P. Chassignet , Brian K. Arbic
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引用次数: 0
Abstract
Data assimilation (DA) combines observational data and the dynamical ocean model to forecast the ocean state in a matter that is not possible from either observations or models by themselves. However, the incorporation of data-derived corrections into the model introduces the potential to disrupt the dynamical balance of the model state, leading to initialization shocks. These shocks arise as the model undergoes a process of adjustment to restore the perturbed dynamic balance, involving the generation of spurious near-inertial motions. Notably, the US Navy’s global ocean forecast system strives to mitigate these issues through the implementation of the Incremental Analysis Update (IAU) method, distributing the DA corrections to the model state across a specified time window (3 h in the operational system). Our study shows that, despite the implementation of this 3 h IAU period, the initialization shocks still persist in the model analysis fields. We find that during DA updates, spurious internal waves are generated that are in a broad near-inertial frequency range and propagate long distances from their generation sites in the form of low-mode near-inertial waves. The depth-integrated, time-mean near-inertial kinetic energy in a simulation with DA is 68% higher than in a corresponding forward simulation (free-run, without DA) of the simulation with the same surface wind forcing. The presence of these spurious near-inertial waves disrupts the ocean model energetics, and minimizing them is crucial for using the assimilative model simulations to study small scale/high-frequency ocean dynamics. We also examine a possible way to minimize the spurious internal waves by extending the IAU period in numerical experiments using regional model simulations. We demonstrate that the generation of spurious near-inertial waves can be minimized if we insert increments of smaller magnitude at each time step during the update, which can be achieved by extending the IAU period. Our findings indicate that in simulations with a 24 h IAU period, the variance of near-inertial kinetic energy between the assimilative and forward simulations is reduced to approximately 1%.
数据同化(DA)将观测数据和海洋动力学模式结合起来,对海洋状态进行预报,这是观测数据或模式本身无法做到的。然而,将数据修正纳入模式有可能破坏模式状态的动态平衡,导致初始化冲击。这些冲击产生于模型为恢复被扰动的动态平衡而进行的调整过程,包括产生虚假的近惯性运动。值得注意的是,美国海军的全球海洋预报系统努力通过实施增量分析更新(IAU)方法来缓解这些问题,将对模型状态的DA修正分配到一个指定的时间窗口(在业务系统中为3小时)。我们的研究表明,尽管实施了这 3 小时的增量分析更新,初始化冲击在模式分析场中仍然存在。我们发现,在DA更新过程中,会产生杂散内波,这些杂散内波的近惯性频率范围很宽,并以低模近惯性波的形式从其产生点向远处传播。在相同的海面风力作用下,有近惯性波更新的模拟的深度积分时间平均近惯性动能比相应的正演模拟(自由运行,无近惯性波更新)高出 68%。这些虚假近惯性波的存在扰乱了海洋模式的能量学,而将其最小化对于利用同化模式模拟研究小尺度/高频海洋动力学至关重要。我们还利用区域模型模拟,在数值实验中研究了通过延长 IAU 周期来最小化杂散内波的可行方法。我们证明,如果在更新过程中的每个时间步插入幅度较小的增量,就可以最大限度地减少产生虚假的近惯性波,而这可以通过延长 IAU 周期来实现。我们的研究结果表明,在 IAU 周期为 24 小时的模拟中,同化模拟和前向模拟之间的近惯性动能差异降低到约 1%。
期刊介绍:
The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.