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首页> 外文期刊>Surveys in Geophysics: An International Review Journal of Geophysics and Planetary Sciences >A Tailored Computation of the Mean Dynamic Topography for a Consistent Integration into Ocean Circulation Models
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A Tailored Computation of the Mean Dynamic Topography for a Consistent Integration into Ocean Circulation Models

机译：平均动态地形的量身定制计算，以一致地整合到海洋环流模型中

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Geostrophic surface velocities can be derived from the gradients of the mean dynamic topography-the difference between the mean sea surface and the geoid. Therefore, independently observed mean dynamic topography data are valuable input parameters and constraints for ocean circulation models. For a successful fit to observational dynamic topography data, not only the mean dynamic topography on the particular ocean model grid is required, but also information about its inverse covariance matrix. The calculation of the mean dynamic topography from satellite-based gravity field models and altimetric sea surface height measurements, however, is not straightforward. For this purpose, we previously developed an integrated approach to combining these two different observation groups in a consistent way without using the common filter approaches (Becker et al. in J Geodyn 59(60):99-110, 2012; Becker in Konsistente Kombination von Schwerefeld, Altimetrie und hydrographischen Daten zur Modellierung der dynamischen Ozeantopographie 2012). Within this combination method, the full spectral range of the observations is considered. Further, it allows the direct determination of the normal equations (i.e., the inverse of the error covariance matrix) of the mean dynamic topography on arbitrary grids, which is one of the requirements for ocean data assimilation. In this paper, we report progress through selection and improved processing of altimetric data sets. We focus on the preprocessing steps of along-track altimetry data from Jason-1 and Envisat to obtain a mean sea surface profile. During this procedure, a rigorous variance propagation is accomplished, so that, for the first time, the full covariance matrix of the mean sea surface is available. The combination of the mean profile and a combined GRACE/GOCE gravity field model yields a mean dynamic topography model for the North Atlantic Ocean that is characterized by a defined set of assumptions. We show that including the geodetically derived mean dynamic topography with the full error structure in a 3D stationary inverse ocean model improves modeled oceanographic features over previous estimates.
机译：地转表面速度可以从平均动态地形的梯度（平均海面与大地水准面之间的差）得出。因此，独立观测的平均动态地形数据是有价值的输入参数和海洋环流模型的约束条件。为了成功地拟合观测动态地形数据，不仅需要特定海洋模型网格上的平均动态地形，还需要有关其逆协方差矩阵的信息。但是，从基于卫星的重力场模型和高程海面高度测量中计算平均动态地形并不容易。为此，我们先前开发了一种集成方法，以一致的方式将这两个不同的观察组结合起来，而无需使用常见的过滤器方法（Becker等人，J Geodyn 59（60）：99-110，2012; Becker in Konsistente Kombination von Schwerefeld，Altimetrie und Hydrographischen Daten zur Modellierung der Dynamischen Ozeantopographie 2012）。在这种组合方法中，考虑了观测的整个光谱范围。此外，它允许直接确定任意网格上的平均动态地形的正态方程式（即误差协方差矩阵的逆），这是海洋数据同化的要求之一。在本文中，我们报告了通过选择和改进高程数据集处理的进展。我们专注于Jason-1和Envisat沿线测高数据的预处理步骤，以获取平均海面剖面。在此过程中，完成了严格的方差传播，因此，首次有了平均海面的完整协方差矩阵。平均剖面和GRACE / GOCE重力场模型的组合产生了北大西洋的平均动态地形模型，其特征是定义了一组假设。我们表明，在3D固定逆海洋模型中包含具有完整误差结构的大地测量得出的平均动态地形，可以比以前的估计方法改善建模海洋特征。

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