首页> 外文期刊>SIAM Journal on Numerical Analysis >UNIFORM IN TIME ERROR ESTIMATES FOR A FINITE ELEMENT METHOD APPLIED TO A DOWNSCALING DATA ASSIMILATION ALGORITHM FOR THE NAVIER-STOKES EQUATIONS
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UNIFORM IN TIME ERROR ESTIMATES FOR A FINITE ELEMENT METHOD APPLIED TO A DOWNSCALING DATA ASSIMILATION ALGORITHM FOR THE NAVIER-STOKES EQUATIONS

机译:均匀的时间误差估计,用于对Navier-Stokes方程的缩小数据同化算法应用于缩小数据分量算法的有限元方法

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In this paper we analyze a finite element method applied to a continuous downscaling data assimilation algorithm for the numerical approximation of the two- and three-dimensional Navier-Stokes equations corresponding to given measurements on a coarse spatial scale. For representing the coarse mesh measurements we consider different types of interpolation operators including a Lagrange interpolant. We obtain uniform-in-time estimates for the error between a finite element approximation and the reference solution corresponding to the coarse mesh measurements. We consider both the case of a plain Galerkin method and a Galerkin method with grad-div stabilization. For the stabilized method we prove error bounds in which the constants do not depend on inverse powers of the viscosity. Some numerical experiments illustrate the theoretical results.
机译:在本文中,我们分析了应用于连续缩小数据同化算法的有限元方法,用于对应于粗糙空间刻度的给定测量的二维Navier-Stokes方程的数值逼近。 对于表示粗略网格测量,我们认为不同类型的插值运算符,包括拉格朗日插值。 我们获得了有限元近似和对应于粗网格测量的参考解决方案之间的误差的均匀时间估计。 我们考虑普通Galerkin方法的情况和具有Grad-Div稳定的Galerkin方法。 对于稳定的方法,我们证明误差界限,其中常数不依赖于粘度的逆功率。 一些数值实验说明了理论结果。

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