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The 5 mm geoid model for Estonia computed by the least squares modified Stokes's formula

机译:由最小二乘斯托克斯公式的5毫米对爱沙尼亚计算的大麻水平模型

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Computational stages of a new high-resolution 5 mm quasigeoid model for Estonia are explained. Certain requirements for the quality and coverage of gravity data in the context of 5 mm geoid modelling were fulfilled. The present gravity data coverage over the target area is 1 point per 10 km(2), less dense in adjacent land and marine areas. The average uncertainty estimate of gravity data within the target area is about 0.5 . . . 0.75 mGal. The gravity data were merged, cleaned, analysed, reduced and gridded to yield a seamless gravity anomaly field. A least squares modified Stokes formula (Sjoberg, L.E., 1991. Refined Least Squares Modification of Stokes Formula". Manuscripta Geodaetica, 16, 367-375.) that combines local terrestrial gravity anomalies and the global geopotential model derived long-wavelength component in a truncated Stokes's integral yielded the best gravimetric geoid modelling results. The combined uncertainty for most of the Estonian GNSS-levelling points is not exceeding 5 mm, allowing an adequate verification of the geoid modelling quality. Inter-comparison of the geoid model, GNSS-derived and spirit-levelled heights at discrete points was conducted for geoid modelling assessment. A two stage stochastic spatial prediction was applied to obtain an optimal fit between precise GNSS-levelling data and the geoid model. The location-specific post-fitting uncertainties of the resulting model EST-GEOID2017 revealed standard deviation of 4.2 mm, i.e. the same level as the accuracy of the used GNSS-levelling control points.
机译:解释了新的高分辨率5mm Quasiptoid模型的计算阶段。满足了5毫米大地区建模的上下文中对重力数据的质量和覆盖的某些要求。目标区域的重要性数据覆盖率为每10公里(2),邻近的土地和海域的密集少。目标区域内重力数据的平均不确定性估计约为0.5。 。 。 0.75 mgal。重力数据被合并,清洁,分析,减少和包装,以产生无缝的重力异常场。最小二乘修饰的斯托克斯公式(Sjoberg,Le,1991.精致的最小二乘法改变Stokes公式“。ManuScripta Geodaetica,16,367-375。)结合了局部陆地重力异常和全局地球势模型衍生的长波长分量截断的斯托克斯的积分产生了最佳的重量性大地区建模结果。大多数爱沙尼亚语域的综合性不确定性不超过5毫米,允许充分验证大地区建模质量。大地区模型的互相阶段,GNSS衍生对于大地区建模评估进行了离散点处的精神级高度。应用了两个阶段随机空间预测,以获得精确的GNSS调平数据和大地区模型之间的最佳拟合。所得的定位特定的后贴合不确定性型号EST-GEOID2017显示标准偏差为4.2毫米,即与二手GNSS调平控制Poin的准确性相同的水平TS。

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