Postglacial land uplift in Estonia based on four precise levelings

Kall, Tarmo; Oja, Tõnis; Tänavsuu, Kalmer

doi:10.1016/j.tecto.2013.10.002

Cited by 20 publications

(27 citation statements)

References 23 publications

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“…Only one TG and GNSS permanent station data from Latvia was incorporated into modelling. The NKG2005LU model was validated in Estonia by Kall et al [8] by comparing it with five historical regional land uplift maps for Estonia [22][23][24][25][26]. The comparisons revealed a quite reasonable agreement between the modelled surfaces.…”

Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

“…The comparisons revealed a quite reasonable agreement between the modelled surfaces. RMS of differences between Estonian land uplift maps and land uplift model NKG2005LU was ±0.7 mm/year in average [8]. According to [7] the residuals of the NKG2005LU model with the GPS and TG observations reach up to ±0.53 mm/year on average, which may represent uncertainties of NKG2005LU in Estonia as well.…”

Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

“…In addition, four high precision levelling data from period 1933-2010 was used by Kall et al [8] to calculate new postglacial land uplift model EST2013LU for Estonia (Fig. 2).…”

Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

“…A on of the actual 1977 (BHS77). uplift estimates a ] and the recent e compilation of data [8]. Next, a out in the Westdue influence of ight system are ncludes the paper.…”

Section: Introductionmentioning

confidence: 99%

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Correcting tide gauge series due to land uplift and differences between national height systems of the baltic sea countries

Liibusk

Kall

Ellmann

et al. 2014

2014 IEEE/OES Baltic International Symposium (BALTIC)

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Different types of tide gauges (TG) are used to monitor sea level dynamics around the Baltic Sea. They are usually connected to national levelling network and several of them are linked into regional networks (e.g. Baltic Operational Oceanographic System). The sea level readings are used for nautical navigation, modelling and forecasting of sea level changes. Long-term and historical sea level series are also useful in studying regional land uplift/subsidence or calibrating satellite altimetry data. Both tasks require precise knowledge of interconnections between height systems of countries surrounding the same sea.Presently, however, six different height reference systems are in official use in the Baltic Sea countries. Even though all these systems are based on mean sea level (MSL) observations averaged over different time-periods, but different reference TG and tidal systems have been adopted for national height systems. The differences of national height systems between the countries around the Baltic Sea can reach up to 20 cm. Overlooking this yields undesirable systematic biases between regional TG data. Additionally, the entire Fennoscandia is affected by apparent land uplift at the velocity rate up to +9 mm/year, primarily due to the viscoelastic response of the solid Earth resulting from the de-glaciation of the Pleistocene ice-sheets. Over a time span this causes notable distortions of height system realisations even within a country. Therefore, the land uplift corrections should be also taken into account in sea level series, which are used for modelling and forecasting of sea level changes. A case study in West-Estonian Archipelago involves a recently developed land uplift model EST2013LU, which is based on four repeated highprecision levelling data from 1933 to 2010. Also connections between levelling network and TG series are analysed. The results reveal that discrepancies due to obsoleteness of the heights in the national height system may cause discrepancies in series of nearby located tide gauges up to 7 cm.

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Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

“…In addition, four high precision levelling data from period 1933-2010 was used by Kall et al [8] to calculate new postglacial land uplift model EST2013LU for Estonia (Fig. 2).…”

Section: Land Uplift In the Baltic Sea Areamentioning

confidence: 99%

“…A on of the actual 1977 (BHS77). uplift estimates a ] and the recent e compilation of data [8]. Next, a out in the Westdue influence of ight system are ncludes the paper.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Correcting tide gauge series due to land uplift and differences between national height systems of the baltic sea countries

Liibusk

Kall

Ellmann

et al. 2014

2014 IEEE/OES Baltic International Symposium (BALTIC)

Self Cite

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“…Some authors (i.a., Morris et al 2002;Moeslund et al 2011) emphasise that the Baltic coastal areas are highly susceptible to this global change because the tidal influence is negligible. On the other hand, for some northern and eastern Baltic regions the sea-level rise can be counteracted by ongoing postglacial land uplift (Kall et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Main Driving Factors for Seacoast Vegetation in the Southern and Eastern Baltic

et al. 2016

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This study aimed to determine the role of environmental factors in the pattern of vegetation related to marsh soils, which are rare in the Baltic coastal zone. It was assumed that the pattern of vegetation directly affected by seawater depends on seawater salinity, and in general reflects the decreasing salinity gradient of the Baltic Sea. The research of vegetation and soils (0-25 cm) has been undertaken on 11 selected sites along the Baltic seacoast in Germany, Poland and Estonia. According to TWINSPAN classification, five plant communities were distinguished: the Puccinellia maritima-Spergularia marina community, Juncus gerardi community, Agrostis stolonifera-Phragmites australisScirpus lacustris ssp. tabernaemontani community, Phragmites australis-Calystegia sepium community and Elymus repens community. A canonical correspondence analysis showed that the most important environmental factors influencing vegetation differentiation were: electrical conductivity of the saturation paste extract, hay/pasture management, redox potential, soil moisture and actual pH. In conclusion, the spatial distribution of the investigated vegetation and soil properties along the Baltic Sea shore were inconsistent with the spatial salinity gradient of the open surface seawater, but was significantly dependent on local conditions. This was confirmed by the highest soil salinity and most abundant occurrence of Salicornia europaea in Estonia.

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