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Estimation of spatially varying open boundary conditions for a numerical internal tidal model with adjoint method

机译:伴随方法估算内部潮汐数值模型的空间变化边界条件

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The adjoint data assimilation technique is applied to the estimation of the spatially varying open boundary conditions (OBCs) for a numerical internal tidal model. The spatial variation of the OBCs is realized by the so-called 'independent point scheme' (IPS): a subset is chosen as the independent points from the full set of open boundary points and the OBCs are obtained through linear interpolation of the values at the independent points. A series of ideal experiments are carried out on a real topography to further test this assimilation model, and to numerically investigate some properties of the IPS. On the basis of the numerical results, it is shown that, in most cases, the use of the IPS can indeed effectively improve the precision of the estimation of the OBCs. Furthermore, if the independent points can be arranged reasonably the improvement may be remarkable. The IPS shows us a way to improve the estimation of the OBCs for this model.
机译:伴随数据同化技术适用于数值内部潮汐模型的空间变化的开放边界条件(OBC)的估计。 OBC的空间变化是通过所谓的“独立点方案”(IPS)实现的:从整个开放边界点集中选择一个子集作为独立点,并且通过线性插值来获得OBC。独立点。在真实的地形上进行了一系列理想的实验,以进一步测试该同化模型,并在数值上研究IPS的某些特性。根据数值结果表明,在大多数情况下,使用IPS确实可以有效地提高OBC估计的精度。此外,如果可以合理地布置独立点,则改进可能是显着的。 IPS向我们展示了一种改进此模型的OBC估计的方法。

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