Statistical framework for estimating GNSS bias

Vierinen, Juha; Coster, Anthea J.; Rideout, William C.; Erickson, Philip J.; Norberg, Johannes

doi:https://doi.org/10.5194/amt-9-1303-2016

Articles | Volume 9, issue 3

https://doi.org/10.5194/amt-9-1303-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-1303-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 3

Research article

|

30 Mar 2016

Research article |

| 30 Mar 2016

Statistical framework for estimating GNSS bias

Juha Vierinen, Anthea J. Coster, William C. Rideout, Philip J. Erickson, and Johannes Norberg

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Final revised paper (published on 30 Mar 2016)
Preprint (discussion started on 11 Sep 2015)

Interactive discussion

Status: closed

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

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RC C3287: 'comment on 'Statistical framework for estimating GNSS bias'', Anonymous Referee #1, 15 Oct 2015
- AC C4314: 'response', Juha Vierinen, 12 Dec 2015
RC C3496: 'Review of manuscript amt-2015-220', Anonymous Referee #2, 23 Oct 2015
- AC C4316: 'response', Juha Vierinen, 12 Dec 2015
- AC C4318: 'clarification', Juha Vierinen, 12 Dec 2015

Short summary

We present a statistical framework for estimating GNSS receiver bias by using a weighted linear least squares of independent differences (WLLSID) model to examine differences of a large number of TEC measurements. This allows a consistent way for treating elevation-dependent model errors and spatiotemporal distance-dependent geophysical differences arising in ionospheric GNSS measurements. The method is also applicable to other GNSS system than GPS, supporting, e.g., GLONASS.