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首页> 外文期刊>Journal of Geodesy >Calibration of GOCE SGG data using high-low SST, terrestrial gravity data and global gravity field models
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Calibration of GOCE SGG data using high-low SST, terrestrial gravity data and global gravity field models

机译:使用高低SST,地面重力数据和整体重力场模型校准GOCE SGG数据

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It is the aim of the GOCE mission to determine a model of the Earth's gravity field with high accuracy and resolution. For this purpose, gravity gradients will be measured in combination with high-low satellite-to-satellite tracking. The gravity gradients are derived from pair-wise differenced accelerations as determined by the six three-axes accelerometers that form the GOCE gradiometer. Since the measured accelerations suffer from errors of a random and systematic nature, the gravity gradients may suffer from random and systematic errors as well. Systematic errors are, for example, a scale factor and a bias. The common accelerations of the paired accelerometers also are contaminated with such errors. The common accelerations are used in the drag-free control of the satellite and are important for the separation of the gravitational and non-gravitational forces in the gravity field determination. The checking of the gravity gradients and the common accelerations against independent data (i.e. external to the GOCE satellite) in order to free the observations as well as is possible from systematic errors is called external calibration. The possibilities and limitations of using terrestrial gravity data and global gravity models for external calibration of the gravity gradients are reviewed. It turns out that the determination of a gravity gradient scale factor and bias using just the accurate knowledge of the central term and the flattening (J_2) of the Earth's gravity field is not good enough. When global gravity field models are used for the calibration, higher degrees and orders should be taken into account as well. With today's existing global models it seems to be possible to remove the greater part of the systematic errors of the GOCE gradients. A gravity gradient bias can accurately be recovered using terrestrial gravity data in a regional approach with least squares collocation. However, since regional data are used it may not be possible to determine calibration parameters valid for the whole (global) gravity gradient data set. Nevertheless, regional terrestrial gravity data could be used to validate the measured and calibrated gravity gradients. In addition, a possible use of GOCE high-low satellite-to-satellite tracking data to calibrate the common accelerations is explored; it is shown that this approach fails. If more accurate gravity field information becomes available then such a calibration may become feasible.
机译:GOCE任务的目的是确定高精度和高分辨率的地球重力场模型。为此,将结合高低卫星到卫星的跟踪来测量重力梯度。重力梯度是从成对的差分加速度中得出的,加速度是由构成GOCE梯度仪的六个三轴加速度计确定的。由于所测量的加速度遭受随机和系统性的误差,因此重力梯度也可能遭受随机和系统性的误差。系统误差例如是比例因子和偏差。成对的加速度计的共同加速度也被这种误差所污染。共同加速度用于卫星的无阻力控制,并且对于确定重力场中的重力和非重力很重要。相对于独立数据(即GOCE卫星外部)检查重力梯度和共同加速度,以使观测结果尽可能摆脱系统误差,这称为外部校准。综述了使用地面重力数据和整体重力模型对重力梯度进行外部校准的可能性和局限性。结果表明,仅使用中心项的精确知识和地球重力场的展平度(J_2)来确定重力梯度比例因子和偏差还不够好。当使用整体重力场模型进行校准时,还应考虑更高的度数和阶数。使用今天的现有全局模型,似乎有可能消除GOCE梯度的大部分系统误差。重力梯度偏差可以在最小平方搭配的区域方法中使用地面重力数据准确地恢复。但是,由于使用了区域数据,因此可能无法确定对整个(全局)重力梯度数据集有效的校准参数。尽管如此,区域地面重力数据仍可用于验证测量和校准的重力梯度。此外,探索了可能使用GOCE高低卫星到卫星跟踪数据来校准共同加速度的方法;结果表明这种方法失败了。如果可获得更准确的重力场信息,则这样的校准将变得可行。

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