2017
DOI: 10.1080/01490419.2017.1326428
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From Discrete Gravity Survey Data to a High-resolution Gravity Field Representation in the Nordic-Baltic Region

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Cited by 19 publications
(10 citation statements)
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References 62 publications
(45 reference statements)
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“…Very essential for good results is to use correct or accurate geodetic data. For modelling also gravity data should be verified or cross validated between different survey campaigns and sources [14]. It is great contribution for new NKG2015 geoid model over region, which was released during gravity field meeting International Symposium on Gravity, Geoid and Height Systems 2016 Thessaloniki, Greece on 19 -23 September 2016.…”
Section: Resultsmentioning
confidence: 99%
“…Very essential for good results is to use correct or accurate geodetic data. For modelling also gravity data should be verified or cross validated between different survey campaigns and sources [14]. It is great contribution for new NKG2015 geoid model over region, which was released during gravity field meeting International Symposium on Gravity, Geoid and Height Systems 2016 Thessaloniki, Greece on 19 -23 September 2016.…”
Section: Resultsmentioning
confidence: 99%
“…Similar gridding principles were implemented in other studies; see, e.g. Märdla et al (2017) andVarga (2018). The obtained surface gravity anomaly grids were used as input data in all geoid computations (see Sect.…”
Section: Gravity Data Gridding and Spectral Analysismentioning
confidence: 98%
“…However, nowadays, as a result of the Nordic Geodetic Commission NKG2015 geoid modelling project (Ågren et al 2015, 2016) (which contain extensive data improvements, see e.g. Märdla et al 2017) systematic biases in new geoid models over the region of interest have largely been eliminated. An important result is that the deviations from the new geoid models and national vertical datum can be eliminated by one-dimensional fit, i.e.…”
Section: Determining Sea Surface Heights Interrelations With Geoidmentioning
confidence: 99%
“…The resulting geoid models were evaluated by the Estonian high-precision GNSS-levelling control points, yielding a sub-centimetre accuracy (in terms of StDev). For more details see Märdla et al (2017). The isolines depict the NKG2015 quasigeoid model in the study area.…”
Section: Study Area Data Acquisition and Geoid Modelsmentioning
confidence: 99%
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