Comparison of GPS tropospheric delays derived from two consecutive EPN reprocessing campaigns from the point of view of climate monitoring

Baldysz, Zofia; Nykiel, Grzegorz; Araszkiewicz, Andrzej; Figurski, Mariusz; Szafranek, Karolina

doi:https://doi.org/10.5194/amt-9-4861-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/amt-9-4861-2016

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

Special issue:

Advanced Global Navigation Satellite Systems tropospheric...

https://doi.org/10.5194/amt-9-4861-2016

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

Articles | Volume 9, issue 9

Research article

|

29 Sep 2016

Research article |

| 29 Sep 2016

Comparison of GPS tropospheric delays derived from two consecutive EPN reprocessing campaigns from the point of view of climate monitoring

Zofia Baldysz, Grzegorz Nykiel, Andrzej Araszkiewicz, Mariusz Figurski, and Karolina Szafranek

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Final revised paper (published on 29 Sep 2016)
Preprint (discussion started on 01 Feb 2016)

Interactive discussion

Status: closed

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

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RC1: 'Review of Comparison of GPS tropospheric delays derived from two consecutive EPN reprocessing campaigns from the point of view of climate monitoring', Anonymous Referee #1, 02 Mar 2016
- AC1: 'Review answer', Zofia Bałdysz, 12 Apr 2016
RC2: 'General and detailed comments on the manuscript', Anonymous Referee #2, 28 Mar 2016
- AC2: 'Review answer', Zofia Bałdysz, 12 Apr 2016

Short summary

In this paper two official processing strategies of GPS observations were analysed. The main purpose was to assess differences in long-term (linear trends) and short-term (oscillations) changes between these two sets of data. Investigation was based on 18-year and 16-year time series and showed that, despite the general consistency, for selected stations a change of processing strategy may have caused significant differences (compared to the uncertainties) in estimated linear trend values.