Near Real-Time Coordinate Estimation from Double-Difference GNSS Data - A Case Study for the National Multi-Hazard Early Warning System in the Sultanate of Oman

Arnold, Daniel; Lutz, Simon; Dach, Rolf; Jäggi, Adrian; Steinborn, J. (2016). Near Real-Time Coordinate Estimation from Double-Difference GNSS Data - A Case Study for the National Multi-Hazard Early Warning System in the Sultanate of Oman. In: Rizos, Chris; Willis, Pascal (eds.) IAG 150 Years. Proceedings of the IAG Scientific Assembly in Postdam, Germany, 2013. International Association of Geodesy Symposia: Vol. 143 (pp. 691-697). Cham: Springer 10.1007/1345_2015_173

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Real-time and near real-time coordinate estimation become increasingly important in many applications like, e.g., environmental hazard monitoring. The typical approach is based on a Precise Point Positioning (PPP), which has the advantage that all stations can be processed independently and, therefore, the processing of monitoring networks with a large number of stations becomes efficient due to parallelization. However, a PPP requires external satellite clock corrections and the accuracy of the obtained coordinates strongly depends on the consistent usage of these clock corrections and on their quality. Since the processing time for real-time products is strictly limited, it is clear that, in general, the quality of such clock corrections is degraded w.r.t. post-processed products.The purpose of this article is to demonstrate that the classical double-difference network approach, where no accurate satellite clock corrections are needed, has a lot of potential also for near real-time applications, when a latency of a few minutes is acceptable. The presented results were obtained in the framework of the establishment of a National Multi-Hazard Early Warning System in the Sultanate of Oman.

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