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PPP Without Troposphere Estimation: Impact Assessment of Regional Versus Global Numerical Weather Models and Delay Parametrization

机译:没有对流层估计的PPP:区域与全球数值天气模型的影响评估和延迟参数化

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Mapping functions based on global Numerical Weather Models (NWM) have been developed in recent years to model the tropospheric delay in space geodetic techniques such as the Global Navigation Satellite Systems (GNSS). However, the estimation of residual tropospheric delay is still a necessity when high accuracy is required. Additionally, correlation between the estimated tropospheric delay, the receiver clock offset and the station height component, prolongs the time required for the solution to converge and impacts directly the accuracy of the results. In this study, we applied tropospheric corrections from high resolution NWM in GPS processing, in an attempt to acquire rapid and accurate positioning results, waiving the need to estimate residual tropospheric delay. Although high resolution NWM have outperformed standard atmosphere parameters and global models, it is the first time they have been compared against NWM-derived corrections, such as the operational Vienna Mapping Function 1 (VMFl) parameters. The processing strategy employed utilizes different scenarios characterized by their (a) NWM temporal and spatial resolution (b) grid or site-specific domain and (c) delay parametrization. The results were assessed in terms of height components bias, convergence frequency and time as well as residuals of the GPS analysis. Results showed an overall scenarios agreement of about 20 cm for the height component. However, the site-specific domain and high resolution NWM scenarios outperformed the grid-based ones in most of the cases; centimeter compared to decimeter daily height time series bias along faster convergence time constituted their performance. The final height offset with respect to their ITRF14 values was almost three times larger for the grid-based scenarios compared to the site-specific ones. The iono-free least squares adjustment residuals analysis revealed similar patterns for all the scenarios while the estimated heights experienced a reduction on the
机译:基于全球数值天气预报模式(NWM)映射功能已经被开发,近年来在空间大地测量技术,如全球导航卫星系统(GNSS)的对流层延迟模型。然而,残余对流层延迟的估计仍然是当需要高的精度是必要的。此外,所估计的对流层延迟,接收机时钟偏移和站高度分量之间的相关性,延长了该溶液收敛和影响直接结果的精度所需的时间。在这项研究中,我们在GPS处理施加对流层校正从高分辨率NWM,以试图获得快速和准确的定位结果,放弃来估计残余对流层延迟的需要。尽管高分辨率NWM表现优于标准大气参数和全球模型,它是第一次他们已经针对NWM衍生校正,如操作维也纳映射函数1(VMFl)参数进行比较。的处理策略使用利用特征在于它们的(a)NWM时间和空间分辨率(二)网格或位点特定的域和(c)的参数化延迟不同的情况。结果在高度部件偏压,收敛的频率和时间以及GPS分析的残差的方面进行了评估。结果表明约20厘米的高度组件的总体方案中的协议。然而,根据现场具体领域和高分辨率NWM场景胜过在大多数情况下,基于网格的人;厘米相比分米沿更快的收敛时间每天高度的时间序列偏差构成它们的性能。最终的高度相对于抵消其ITRF14值是为基于网格的情况下更大的近三倍相比,根据现场具体情况的。在无电离最小二乘调整残留量的分析发现类似的模式对所有的场景,而估计的高度上经历减少

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