Precision of continuous GPS velocities from statistical  analysis of synthetic time series

Masson, Christine; Mazzotti, Stephane; Vernant, Philippe

doi:https://doi.org/10.5194/se-10-329-2019

Articles | Volume 10, issue 1

https://doi.org/10.5194/se-10-329-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/se-10-329-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

Research article

|

15 Feb 2019

Research article |

| 15 Feb 2019

Precision of continuous GPS velocities from statistical analysis of synthetic time series

Christine Masson, Stephane Mazzotti, and Philippe Vernant

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Final revised paper (published on 15 Feb 2019)
Supplement to the final revised paper
Preprint (discussion started on 04 Sep 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'review', Simon Williams, 16 Oct 2018
- AC1: 'Author comment in response to RC1 Simon Williams', Christine Masson, 23 Jan 2019
RC2: 'Comments', William Hammond, 31 Dec 2018
- AC2: 'Author comment in response to RC2 William Hammond', Christine Masson, 23 Jan 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Christine Masson on behalf of the Authors (23 Jan 2019) Author's response Manuscript

ED: Publish subject to technical corrections (29 Jan 2019) by Tarje Nissen-Meyer

ED: Publish subject to technical corrections (29 Jan 2019) by Federico Rossetti (Executive editor)

AR by Christine Masson on behalf of the Authors (31 Jan 2019) Manuscript

Short summary

We use statistical analyses of synthetic position time series to estimate the potential precision of GPS velocities. Regression tree analyses show that the main factors controlling the velocity precision are the duration of the series, the presence of offsets, and the noise. Our analysis allows us to propose guidelines which can be applied to actual GPS data that constrain the velocity accuracies.