First results of the Nordic and Baltic GNSS Analysis Centre

Lahtinen, Sonja; Häkli, Pasi; Jivall, Lotti; Kempe, C. Henry; Kollo, Karin; Kosenko, Ksenija; Pihlak, Priit; Prizginiene, Dalia; Tangen, Oddvar; Weber, M.; Paršeliūnas, Eimuntas; Baniulis, Rimvydas; Galinauskas, Karolis

doi:10.1515/jogs-2018-0005

Cited by 13 publications

(9 citation statements)

References 11 publications

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“…The historic GNSS data were reprocessed to produce consistent solutions for the full time span. We mainly used the same models and methods as described for the operational work (Lahtinen et al 2018) following the EPN guidelines for its ACs. First, each national AC processed daily solutions of their own subnet, including common stations outside the country.…”

Section: Datamentioning

confidence: 99%

“…Next, the subnet solutions were combined into daily solutions of the full network. The different datum definition possibilities were analyzed by Lahtinen et al (2018), and based on that, we applied minimum constraints over all seven parameters (translations, rotations, and scale) using CATREF software (Altamimi et al 2018). The need of estimating a scale parameter can be questioned, as there should not be a significant scale difference between the frame and our solutions, but our tests have shown very small effects of it.…”

Section: Datamentioning

confidence: 99%

“…To produce a homogenous and high-quality GNSS solution covering all the Nordic and Baltic countries, the Nordic Geodetic Commission (NKG) launched its GNSS Analysis Centre in 2012. It builds on distributed and highly homogeneous processing and analysis of national reference stations (Lahtinen et al 2018). Each national analysis center (AC) processes its subnet, and the subnet solutions are combined into daily solutions.…”

Section: Introductionmentioning

confidence: 99%

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Densification of the ITRF2014 position and velocity solution in the Nordic and Baltic countries

et al. 2019

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The growing need for a consistent and densified GNSS position and velocity solution for the Nordic and Baltic countries resulted in development of the joint GNSS Analysis Centre of the Nordic Geodetic Commission (NKG) in 2012. We first developed the methods of the operational processing and combination of solutions and then reprocessed the full data history between 1997 and 2017. In this study, we present an ITRF2014 densification for the area including 252 stations having more than 3 years of data. We combined all 20 years of daily solutions with full covariance matrices instead of station-wise analysis and analyzed the noise characteristics of the residual time series. We concluded that the flicker plus white noise uncertainty estimates were more robust than the general power-law estimates. Additionally, we found significant horizontal velocity differences at the co-located stations, pointing out biases not included in the formal uncertainties. The solution is more accurate and denser than any previous estimate, and it will be of great benefit for maintaining the reference frames in the Nordic and Baltic countries, as well as for the geodynamic studies in the area.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Densification of the ITRF2014 position and velocity solution in the Nordic and Baltic countries

et al. 2019

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“…The EST-POS CORS coordinate and troposphere weekly solutions are submitted there on weekly basis in order to unify reference frame related activities in the Nordic and Baltic countries (see e.g. Lahtinen et al, 2018).…”

Section: The Estpos Based Weekly Coordinate Solutionsmentioning

confidence: 99%

Modernization of the Estonian National GNSS Reference Station Network

Metsar

Kollo

Ellmann

2018

Geodesy and Cartography

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The first GNSS (Global Navigation Satellite System) CORS (Continuously Operating Reference Station) in Estonia became operational in 1996. Starting from 2008 four Estonian CORS are incorporated into the EPN (EUREF Permanent GNSS Network). During the years 2014-2015 modernization of the GNSS CORS in Estonia was carried out. Currently the total number of the resulting ESTPOS reference stations is 28. These ESTPOS stations were interconnected to the I order national geodetic network by a special GNSS campaign in 2017. The maintenance and compilation of the ESTPOS based research products is explained. Aspects of the ESTPOS usage, including also the real time surveys, are discussed. Comparisons with SWEPOS (Swedish national GNSS CORS) and FinnRef (Finnish national GNSS CORS) networks indicate possibilities for further ESTPOS developments.

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“…Also, a joint NKG GNSS Analysis Centre has been launched by the initiative of NKG. It aims to routinely produce high-quality GNSS solutions (coordinates, velocities, and their uncertainties) for the common needs of the NKG and the Nordic and Baltic countries [11]. Like GNSS, other satellite-based geodetic methods (SLR, DORIS, InSAR) have also proved to provide accurate station position [12][13][14], so their time-series have also been used for various purposes.…”

Section: Introductionmentioning

confidence: 99%

The Noise Properties and Velocities from a Time-Series of Estonian Permanent GNSS Stations

et al. 2019

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The aim of this study was to estimate the noise properties, velocities, and their uncertainties from a time-series of selected (~9 years long) Estonian continuously operating Global Navigation Satellite System (GNSS) stations. Two software packages based on different processing methods, Gipsy–Oasis and Bernese, were used for daily coordinate calculations. Different methods and software (Tsview, Hector, and MIDAS) were used for coordinate time-series analysis. Outliers were removed using three different strategies. Six different stochastic noise models were used for trend estimation altogether with the analysis of the noise properties of the residual time-series with Hector. Obtained velocities were compared with different land uplift and glacial isostatic adjustment models (e.g., ICE-6G (VM5a), NKG2016LU, etc.). All compared solutions showed similar fit to the compared models. It was confirmed that the best fit to the time-series residuals were with the flicker noise plus white noise model (for the North and East component) and generalized Gauss–Markov model (for Up). Velocities from MIDAS, Tsview, and Hector solutions within the same time-series (Gipsy–Oasis or Bernese) agreed well but velocity uncertainties differed up to four times. The smallest uncertainties were obtained from Tsview; the MIDAS solution produced the most conservative values. Although the East and Up component velocities between Gipsy and Bernese solutions agreed well, the North component velocities were systematically shifted.

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First results of the Nordic and Baltic GNSS Analysis Centre

Cited by 13 publications

References 11 publications

Densification of the ITRF2014 position and velocity solution in the Nordic and Baltic countries

Densification of the ITRF2014 position and velocity solution in the Nordic and Baltic countries

Modernization of the Estonian National GNSS Reference Station Network

The Noise Properties and Velocities from a Time-Series of Estonian Permanent GNSS Stations

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