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New Modifications of Stokes' Integral

机译:斯托克斯积分的新修改

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摘要

In the last decades several alternative methods of modifying Stokes' formula were developed. Here, a combination of two existing modifications from Meissl and Sjoberg is developed and presented. The latter applies a least squares method to minimize the truncation error (as well as the total error of the geoid determination), while the former forces the truncation coefficients to converge to zero more rapidly by using a continuous function. The question is whether the combined Least Squares-Meissl modification reduces the truncation and/or the total geoid determination error. To determine the modification parameters, a new system of equations satisfying simultaneously the faster convergence and minimizing the total error, are presented by using (a) Green's second identity, which is a conventional method, and (b) a set of smoothing averaging filters. The method (b) provides further flexibility when different smoothing filters can be utilized. The new modification reduces the contribution of the inner zone error by 1 mm of the estimated RMS error. The total error does not necessarily decrease, by using the new modification for cap sizes smaller than 3° versus the least squares modification of Sjoberg (ManusrGeod 16: 367-375,1991).
机译:在过去的几十年中,开发了修改斯托克斯公式的几种替代方法。这里,来自Meissl和Sjoberg的两个现有修改的组合是开发和呈现的。后者应用最小二乘法以最小化截断误差(以及大地区确定的总误差),而前者通过使用连续功能将截断系数更快地收敛到零。问题是组合的最小二乘 - Meissl修改是否减少了截断和/或总大地区测定误差。为了确定修改参数,通过使用(a)绿色的第二个标识来提出同时满足的新的方程式,同时满足的速度更快,最小化总误差,这是一种传统方法,并且(b)一组平滑平均滤波器。当可以使用不同的平滑滤波器时,该方法(B)提供了进一步的灵活性。新修改将内部区域误差的贡献减少1 mm估计的rms误差。通过使用小于3°的帽尺寸的新修改,总误差不一定减少,而Sjoberg的最小二乘改造(ManusRgeod 16:367-375,1991)。

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