EGU25-16653, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-16653
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Short-Term Clock offset Predicting Products Based on Low Sampling Estimation for Real-time Service
Yu Cao1, Guanwen Huang1, Zhiwei Qin2, Shichao Xie1, Wei Xie3, Yurui Fan4, and Shi Du5
Yu Cao et al.
  • 1Chang'an University, College of Geological Engineering and Geomatics, College of Geological Engineering and Geomatics, China (cyyyy_yu@outlook.com)
  • 2Shanghai Astronomical Observatory, Shanghai, China (gnssorbitqzw@163.com)
  • 3National Time Service Center, Chinese Academy of Sciences, Xi’an, China (xiewei@ntsc.ac.cn)
  • 4Department of Civil and Environmental Engineering, Brunel University London, Uxbridge Middlesex UB8 3PH, United Kingdom (yurui.fan@brunel.ac.uk)
  • 5German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany (dshicdgnsser@chd.edu.cn)

How to cite: Cao, Y., Huang, G., Qin, Z., Xie, S., Xie, W., Fan, Y., and Du, S.: Short-Term Clock offset Predicting Products Based on Low Sampling Estimation for Real-time Service, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-16653, https://doi.org/10.5194/egusphere-egu25-16653, 2025.

This abstract has been withdrawn on 21 Apr 2025.