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How Sensitive Are Coarse General Circulation Models to Fundamental Approximations in the Equations of Motion?

机译:粗略的一般环流模型对运动方程式中的基本逼近有多敏感?

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The advent of high-precision gravity missions presents the opportunity to accurately measure variations in the distribution of mass in the ocean. Such a data source will prove valuable in state estimation and constraining genera] circulation models (GCMs) in general. However, conventional GCMs make the Boussinesq approximations, a consequence of which is that mass is not conserved. By use of the height-pressure coordinate isomorphism implemented in the Massachusetts Institute of Technology general circulation model (MITGCM), the impact of non-Boussinesq effects can be evaluated. Although implementing a non-Boussinesq model in pressure coordinates is relatively straightforward, making a direct comparison between height and pressure coordinate (i.e., Boussinesq and non-Boussinesq) models is not simple. However, a careful comparison of the height coordinate and the pressure coordinate solutions ensures that only non-Boussinesq effects can be responsible for the observed differences. As a yardstick, these differences are also compared with those between the Boussinesq hydrostatic and models in which the hydrostatic approximation has been relaxed, another approximation commonly made in GCMs. Model errors (differences) caused by the Boussinesq and hydrostatic approximations are demonstrated to be of comparable magnitude. Differences induced by small changes in subgrid-scale parameterizations are at least as large. Therefore, non-Boussinesq and nonhydrostatic effects are most likely negligible with respect to other model uncertainties. However, because there is no additional cost incurred in using a pressure coordinate model, it is argued that non-Boussinesq modeling is preferable simply for tidiness. It is also concluded that even coarse-resolution GCMs can be sensitive to small perturbations in the dynamical equations.
机译:高精度重力飞行任务的出现为精确测量海洋质量分布的变化提供了机会。通常,这样的数据源将在状态估计和约束一般循环模型(GCM)中被证明是有价值的。但是,传统的GCM使Boussinesq近似,其结果是质量不守恒。通过使用在麻省理工学院通用循环模型(MITGCM)中实现的高度-压力坐标同构,可以评估非Boussinesq效应的影响。尽管在压力坐标中实现非Bousinesq模型相对简单,但是要在高度和压力坐标(即Boussinesq和non-Boussinesq)模型之间进行直接比较并不容易。但是,仔细比较高度坐标和压力坐标解决方案可确保只有非Boussinesq效应可导致观察到的差异。作为衡量标准,这些差异也与Boussinesq静液压模型和静液压近似已经放宽的模型(GCM中的另一种近似)之间的差异进行了比较。由Boussinesq和流体静力学近似引起的模型误差(差异)被证明具有可比较的大小。子网格规模参数化的微小变化引起的差异至少一样大。因此,相对于其他模型不确定性,非Boussinesq和非静水效应极有可能被忽略。但是,由于使用压力坐标模型不会产生额外的成本,因此有人认为非Boussinesq建模仅出于整理就更可取。还得出结论,即使是粗分辨率的GCM也会对动力学方程中的小扰动敏感。

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