Investigation of the 16-year and 18-year ZTD Time Series Derived from GPS Data Processing

Baldysz, Zofia; Nykiel, Grzegorz; Figurski, Mariusz; Szafranek, Karolina; Kroszczyński, Krzysztof

doi:10.1515/acgeo-2015-0033

Cited by 21 publications

(10 citation statements)

References 18 publications

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“…This is particularly important when changes in the water vapour content are very small and any mismodelling of the tropospheric parameters could also distort the estimated trend. As already presented by Nilsson and Elgered (2008) or Baldysz et al (2015), extending the analysed period even for 2 additional years can change the nature of the trend. This confirms the need for long time series data for climate research.…”

Section: Introductionmentioning

confidence: 64%

“…Full 18-year ZTD time series were also studied. This approach, similar to in our previous study (Baldysz et al, 2015), enables us to investigate whether the introduction of two additional years has the same impact on the data from both reprocessing campaigns.…”

Section: Analysed Datamentioning

confidence: 94%

“…MacMillan, 1995;Chen and Herring, 1997;Bar-Sever et al, 1998), and α is the azimuth. The ZHD in the above formula is usually adopted from a model, while ZWD is one of many unknowns which are estimated during position determination.…”

Section: Analysed Datamentioning

confidence: 99%

“…On the other hand, assuming their occurrence is important when the linear trend is determined using the least squares estimation (LSE) approach. To ensure the homogeneity of the compared re- sults (from the Repro1 and Repro2 campaigns), the authors adopted the same methodology as in the case of our previous work (Baldysz et al, 2015) where data from the Repro1 campaign were analysed. The only difference lies in the temporal resolution of the used data: in our previous work hourly data were analysed, whereas in this work, we chose to work with daily data for both data sets.…”

Section: Analysis Of Ztd Time Seriesmentioning

confidence: 99%

“…MUT results are called Repro1; they were obtained on the basis of full EPN reprocessing made by MUT and did not play a role in the official EPN Repro1 project solution Kenyeres et al, 2009. These data were already analysed by Baldysz et al (2015). The second one was the MUT's official contribution to the latest EPN reprocessing campaign (called here Repro2).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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Abstract. The main purpose of this research was to acquire information about consistency of ZTD (zenith total delay) linear trends and seasonal components between two consecutive GPS reprocessing campaigns. The analysis concerned two sets of the ZTD time series which were estimated during EUREF (Reference Frame Sub-Commission for Europe) EPN (Permanent Network) reprocessing campaigns according to 2008 and 2015 MUT AC (Military University of Technology Analysis Centre) scenarios. Firstly, Lomb-Scargle periodograms were generated for 57 EPN stations to obtain a characterisation of oscillations occurring in the ZTD time series. Then, the values of seasonal components and linear trends were estimated using the LSE (least squares estimation) approach. The Mann-Kendall trend test was also carried out to verify the presence of linear long-term ZTD changes. Finally, differences in seasonal signals and linear trends between these two data sets were investigated. All these analyses were conducted for the ZTD time series of two lengths: a shortened 16-year series and a full 18-year one. In the case of spectral analysis, amplitudes of the annual and semi-annual periods were almost exactly the same for both reprocessing campaigns. Exceptions were found for only a few stations and they did not exceed 1 mm. The estimated trends were also similar. However, for the reprocessing performed in 2008, the trends values were usually higher. In general, shortening of the analysed time period by 2 years resulted in a decrease of the linear trends values of about 0.07 mm yr −1 . This was confirmed by analyses based on two data sets.

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Section: Introductionmentioning

confidence: 64%

Section: Analysed Datamentioning

confidence: 94%

Section: Analysed Datamentioning

confidence: 99%

Section: Analysis Of Ztd Time Seriesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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Least-Squares Spectral and Coherency Analysis of the Zenith Total Delay Time Series at SuomiNet Station SA56 (UNB2)

Mayaki

Santos

Nikolaidou

2020

International Association of Geodesy Symposia

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Zenith Total Delay (ZTD) from ground-based Global Navigational Satellite Systems (GNSS) observations plays an important role in meteorology. It contains information about the troposphere due to the interactions that GNSS signals have with the atmosphere while traveling from satellites to ground receivers. Since almost all weather is formed in the troposphere, the analysis of a collection of ZTD time series would provide insight about the periodic characteristics of the weather of a place. It would also provide insight about the influences that meteorological parameters such as pressure, temperature and relative humidity have on the weather’s periodic nature. In this study, the least-squares spectral analysis approach is employed to determine the periodic oscillations in a 7-year time series of ZTD obtained from collocated GNSS and meteorological stations at the University of New Brunswick, Fredericton. Least-Squares Coherency Analysis of the time series spectra of the ZTD and its component hydrostatic and wet delays, and pressure, temperature and relative humidity is also performed. This is done to evaluate the level of contributions those parameters have in the periodicities inherent in the ZTD time series. Except for the zenith hydrostatic delay and pressure which show no annual periodic oscillation, the spectra of all the other time series show strong annual and semi-annual oscillations. Being the most dominant oscillation in the ZTD time series, the annual oscillation is largely driven by temperature, and this is maybe due to the high temperature variation characteristic of the climatic zone Fredericton falls under.

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Algorithm and Performance of Precipitable Water Vapor Retrieval Using Multiple GNSS Precise Point Positioning Technology

Huang

Zhang

et al. 2018

Lecture Notes in Electrical Engineering

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Investigation of the 16-year and 18-year ZTD Time Series Derived from GPS Data Processing

Cited by 21 publications

References 18 publications

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

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

Least-Squares Spectral and Coherency Analysis of the Zenith Total Delay Time Series at SuomiNet Station SA56 (UNB2)

Algorithm and Performance of Precipitable Water Vapor Retrieval Using Multiple GNSS Precise Point Positioning Technology

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