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A method to reduce the spin-up time of ocean models

机译:一种减少海洋模型加速时间的方法

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The spin-up timescale in large-scale ocean models, i.e., the time it takes to reach an equilibrium state, is determined by the slow processes in the deep ocean and is usually in the order of a few thousand years. As these equilibrium states are taken as initial states for many calculations, much computer time is spent in the spin-up phase of ocean model computations. In this note, we propose a new approach which can lead to a very large reduction in spin-up time for quite a broad class of existing ocean models. Our approach is based on so-called Jacobian-Free Newton-Krylov methods which combine Newton's method for solving non-linear systems with Krylov subspace methods for solving large systems of linear equations. As there is no need to construct the Jacobian matrices explicitly the method can in principle be applied to existing explicit time-stepping codes. To illustrate the method we apply it to a 3D planetary geostrophic ocean model with prognostic equations only for temperature and salinity. We compare the new method to the 'ordinary' spin-up run for several model resolutions and find a considerable reduction of spin-up time. (C) 2007 Elsevier Ltd. All rights reserved.
机译:大型海洋模型中的自旋上升时标,即达到平衡状态所需的时间,是由深海中的缓慢过程决定的,通常约为数千年。由于这些平衡状态被用作许多计算的初始状态,因此在海洋模型计算的加速阶段将花费大量的计算机时间。在本说明中,我们提出了一种新方法,该方法可以大大减少大量现有海洋模型的旋转时间。我们的方法基于所谓的无雅可比牛顿-克雷洛夫方法,该方法结合了牛顿法求解非线性系统和克雷洛夫子空间方法来求解大型线性方程组。由于不需要显式构造雅可比矩阵,因此该方法原则上可以应用于现有的显式时间步长代码。为了说明该方法,我们将其应用于仅具有温度和盐度预测方程的3D行星地转海洋模型。我们将新方法与几种模型分辨率的“常规”旋转加速进行了比较,发现旋转时间大大减少。 (C)2007 Elsevier Ltd.保留所有权利。

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