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The Use of GNSS/Levelling and Gravity Data for the Spanish Height System Unification

机译:用于西班牙高度系统统一的GNSS /调平和重力数据

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From 2001 to 2008, the National Geographic Institute of Spain (IGN) carried out the REDNAP project to the establishment of a National High Precision Levelling Network in the whole Spanish territory. Within REDNAP, spirit levelling and gravity observations were complemented by GNSS data. The levelling network of the continental area and those of the main islands were referred to different tide gauges thus producing different height systems. In the paper, the GOCO-05S model from the GRACE and GOCE gravity missions is used to unify such systems. More precisely, it is used to estimate the normal heights of the mean sea level at the reference tide gauges, i.e. the height system biases. In the proposed solution such biases are determined through the least squares adjustment of the differences between height anomalies derived from GNSS/levelling and height anomalies derived from a proper combination of global gravity models. An accurate modelling of the observation error covariances is taken into account as well. The estimated accuracies of the resulting biases are in the order of few centimetres apart from that of continental Spain which is an order of magnitude better.
机译:从2001年到2008年,西班牙国家地理研究所(IGN)进行的REDNAP项目在整个西班牙领土建立国家高精度水准网。在Rednap中,Spirit Lifeing和Gravity观察由GNSS数据互补。大陆区域和主岛的水平网络被称为不同的潮汐量,从而产生不同的高度系统。在论文中,来自Grace和Goce Gravity任务的Goco-05s模型用于统一此类系统。更确切地说,它用于估计参考潮仪表的平均海平面的正常高度,即高度系统偏差。在所提出的解决方案中,这种偏差通​​过最小二乘调节来确定来自来自全球重力模型的适当组合的GNSS /水平和高度异常之间的高度异常之间的差异的差异。也考虑了观察误差协方差的准确建模。除了大陆西班牙的百分比之外,所产生的偏差的估计准确性为几厘米,这是一个更好的数量级。

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