Cite this article as Melgar, D., T. I. Melbourne, B. W. Crowell, J. Geng, W. Szeliga, C. Scrivner, M. Santillan, and D. E. Goldberg (2019). Real-Time HighRate GNSS Displacements: Performance Demonstration during the 2019 Ridgecrest, California, Earthquakes, Seismol. Res. Lett. XX, 1–9, doi: 10.1785/ 0220190223. Traditional real-time (RT) seismology has relied on inertial sensors to characterize ground motions and earthquake sources, particularly for hazards applications such as warning systems. In the past decade, a revolution in high-rate, RT Global Navigation Satellite Systems (GNSS) displacement has provided a new source of data to augment traditional measurement devices. The Ridgecrest, California, earthquake sequence in 2019 provided one of the most complete recordings of RT-GNSS displacements to date, helping aid in an initial source characterization over the first few days. In this article, we analyze and make available the archived RT displacement streams and compare their performance to postprocessed results, which we also provide. We find good agreement for all stations showing a noticeable signal. This demonstrates that simple modeling in RT, such as peak ground displacement scaling, would be practically identical to postprocessed results. Similarly, we find good agreement across the full spectral range, from the coseismic offsets (∼0 Hz) to the Nyquist frequency. We also find low latency between the measurement acquisition at the field site and the position calculation at the data center. In aggregate, the performance during the Ridgecrest earthquakes is strong evidence of the viability and usefulness of RT-GNSS as a monitoring

中文翻译：

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实时高速 GNSS 位移：2019 年加利福尼亚州里奇克莱斯特地震期间的性能演示

将本文引用为 Melgar, D.、TI Melbourne、BW Crowell、J. Geng、W. Szeliga、C. Scrivner、M. Santillan 和 DE Goldberg（2019 年）。实时高速率 GNSS 位移：2019 年加利福尼亚州里奇克莱斯特地震、地震期间的性能演示。水库 莱特。XX, 1–9, doi: 10.1785/ 0220190223. 传统的实时 (RT) 地震学依赖惯性传感器来表征地面运动和地震源，特别是对于危险应用，例如警告系统。在过去十年中，高速 RT 全球导航卫星系统 (GNSS) 位移的革命为增强传统测量设备提供了新的数据源。2019 年加利福尼亚州里奇克莱斯特地震序列提供了迄今为止最完整的 RT-GNSS 位移记录之一，有助于在最初几天内进行初始源表征。在本文中，我们分析并提供存档的 RT 置换流，并将其性能与我们也提供的后处理结果进行比较。我们发现所有显示明显信号的电台都具有良好的一致性。这表明 RT 中的简单建模（例如峰值地面位移缩放）实际上与后处理结果相同。类似地，我们发现从同震偏移（~0 Hz）到奈奎斯特频率的整个光谱范围内都具有良好的一致性。我们还发现现场测量采集和数据中心位置计算之间的延迟很低。总的来说，Ridgecrest 地震期间的表现有力地证明了 RT-GNSS 作为监测工具的可行性和实用性。