Glacial isostatic adjustment on a three-dimensional laterally heterogeneous Earth: Examples from Fennoscandia and the Barents Sea

2002 ◽  
pp. 293-309 ◽  
Author(s):  
Georg Kaufmann ◽  
Patrick Wu
Keyword(s):  
Barents Sea ◽  
Three Dimensional ◽  
Glacial Isostatic Adjustment ◽  
Isostatic Adjustment ◽  
The Barents Sea

scholarly journals The effect of sediment loading in Fennoscandia and the Barents Sea during the last glacial cycle on glacial isostatic adjustment observations

Solid Earth ◽  
2017 ◽  
Vol 8 (5) ◽  
pp. 955-968 ◽  
Author(s):  
Wouter van der Wal ◽  
Thijs IJpelaar
Keyword(s):  
Measurement Error ◽  
Sediment Transport ◽  
Sea Level ◽  
Barents Sea ◽  
Maximum Effect ◽  
Glacial Isostatic Adjustment ◽  
Relative Sea Level ◽  
Loading Effect ◽  
Isostatic Adjustment ◽  
The Barents Sea

Abstract. Models for glacial isostatic adjustment (GIA) routinely include the effects of meltwater redistribution and changes in topography and coastlines. Since the sediment transport related to the dynamics of ice sheets may be comparable to that of sea level rise in terms of surface pressure, the loading effect of sediment deposition could cause measurable ongoing viscous readjustment. Here, we study the loading effect of glacially induced sediment redistribution (GISR) related to the Weichselian ice sheet in Fennoscandia and the Barents Sea. The surface loading effect and its effect on the gravitational potential is modeled by including changes in sediment thickness in the sea level equation following the method of Dalca et al. (2013). Sediment displacement estimates are estimated in two different ways: (i) from a compilation of studies on local features (trough mouth fans, large-scale failures, and basin flux) and (ii) from output of a coupled ice–sediment model. To account for uncertainty in Earth's rheology, three viscosity profiles are used. It is found that sediment transport can lead to changes in relative sea level of up to 2 m in the last 6000 years and larger effects occurring earlier in the deglaciation. This magnitude is below the error level of most of the relative sea level data because those data are sparse and errors increase with length of time before present. The effect on present-day uplift rates reaches a few tenths of millimeters per year in large parts of Norway and Sweden, which is around the measurement error of long-term GNSS (global navigation satellite system) monitoring networks. The maximum effect on present-day gravity rates as measured by the GRACE (Gravity Recovery and Climate Experiment) satellite mission is up to tenths of microgal per year, which is larger than the measurement error but below other error sources. Since GISR causes systematic uplift in most of mainland Scandinavia, including GISR in GIA models would improve the interpretation of GNSS and GRACE observations there.

scholarly journals Glacial isostatic adjustment associated with the Barents Sea ice sheet: A modelling inter-comparison

2016 ◽  
Vol 147 ◽  
pp. 122-135 ◽  
Author(s):  
A. Auriac ◽  
P.L. Whitehouse ◽  
M.J. Bentley ◽  
H. Patton ◽  
J.M. Lloyd ◽  
...  
Keyword(s):  
Sea Ice ◽  
Barents Sea ◽  
Ice Sheet ◽  
Glacial Isostatic Adjustment ◽  
Isostatic Adjustment ◽  
The Barents Sea

Three-dimensional seismic data from the Barents Sea margin reveal evidence of past ice streams and their dynamics

Geology ◽  
2004 ◽  
Vol 32 (8) ◽  
pp. 729 ◽  
Author(s):  
Karin Andreassen ◽  
Lena Charlotte Nilssen ◽  
Bjarne Rafaelsen ◽  
Luppo Kuilman
Keyword(s):  
Seismic Data ◽  
Barents Sea ◽  
Three Dimensional ◽  
Ice Streams ◽  
The Barents Sea

The latest 3D density model of the Barents Sea crust

2021 ◽  
Author(s):  
David Arutyunyan ◽  
Ivan Lygin ◽  
Kirill Kuznetsov ◽  
Tatiana Sokolova ◽  
Tatiana Shirokova ◽  
...  
Keyword(s):  
Gravitational Field ◽  
Gravity Field ◽  
Barents Sea ◽  
Sedimentary Cover ◽  
Three Dimensional ◽  
Density Model ◽  
Potential Fields ◽  
The Barents Sea ◽  
Moho Boundary ◽  
Earth's Crust

<p>The 3D gravity inversion was realized in order to reveal the density features of the Earth's crust the Barents Sea. The original 3D density model of the region includes both lateral and depth density`s changes.<br>The main steps of the modelling are:</p><p>- The calculation of the anomalies of the gravity field in Bouguer reduction with the three-dimensional gravitational effect correction of the seabed.</p><p>- Gravity field correction for the three-dimensional influence of the Moho boundary (according to the GEMMA model). The excess density at the Moho picked by minimizing the standard (root-mean-square) deviation of the gravity effect from GEMMA Moho boundary and Bouguer anomalies. So, the regional density jump at the Moho border is 0.4 g / cm<sup>3</sup>.</p><p>- Based on regional geological and geophysical data about the deep structure of the Barents Sea, it was developed generalized dependence of density changes by depth in the sedimentary cover and the consolidated part of the earth's crust.</p><p>- Compilation of 3D original model of the base of the sedimentary cover on predictive algorithms of neural networks. The neural network was trained on several reference areas located in different parts Barents area using a number of potential fields transformations and the bottom of the sedimentary cover from model SedThick 2.0.</p><p>- Using the resulted dependence of the crust density change by depth and a new model of the sedimentary cover bottom, the gravitational field corrected for the impact of the sedimentary cover with variable density.</p><p>- The finally stripped gravity field is used to create density model above and below the base of the sedimentary cover. Frequency filtering on Poisson wavelets [Kuznetsov et al., 2020] had been used for the final separation of the gravitational field into its components.</p><p>- The inverse task was solved using specialized volumetric regularization [Chepigo, 2020].</p><p>As a result, the crust of the Barents Sea density inhomogeneities were localized by depth and laterally in 3D model, which became the basis for further structural-tectonic mapping.</p><p>References</p><p>Chepigo L.S. GravInv3D [3D density modeling software]. Patent RF, no. 2020615095, 2020. https://en.gravinv.ru/</p><p>Kuznetsov K.M. and Bulychev A.A. GravMagSpectrum3D [Program for spectral analysis of potential fields]. Patent RF, no. 2020619135, 2020.</p>

Geomorphology of buried glacigenic horizons in the Barents Sea from three-dimensional seismic data

2002 ◽  
Vol 203 (1) ◽  
pp. 259-276 ◽  
Author(s):  
B. Rafaelsen ◽  
K. Andreassen ◽  
L. W. Kuilman ◽  
E. Lebesbye ◽  
K. Hogstad ◽  
...  
Keyword(s):  
Seismic Data ◽  
Barents Sea ◽  
Three Dimensional ◽  
The Barents Sea

Three-dimensional model for the crust and upper mantle in the Barents Sea region

Eos ◽  
2005 ◽  
Vol 86 (16) ◽  
pp. 160 ◽  
Author(s):  
H. Bungum ◽  
O. Ritzman ◽  
N. Maercklin ◽  
J.-I. Faleide ◽  
W. D. Mooney ◽  
...  
Keyword(s):  
Upper Mantle ◽  
Barents Sea ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Crust And Upper Mantle ◽  
The Barents Sea

scholarly journals The glacial isostatic adjustment signal at present day in northern Europe and the British Isles estimated from geodetic observations and geophysical models

Solid Earth ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 777-795 ◽  
Author(s):  
Karen M. Simon ◽  
Riccardo E. M. Riva ◽  
Marcel Kleinherenbrink ◽  
Thomas Frederikse
Keyword(s):  
Mass Loss ◽  
Barents Sea ◽  
Joint Inversion ◽  
Vertical Motion ◽  
Ice Age ◽  
Northern Europe ◽  
Glacial Isostatic Adjustment ◽  
British Isles ◽  
Isostatic Adjustment ◽  
Vertical Land Motion

Abstract. The glacial isostatic adjustment (GIA) signal at present day is constrained via the joint inversion of geodetic observations and GIA models for a region encompassing northern Europe, the British Isles, and the Barents Sea. The constraining data are Global Positioning System (GPS) vertical crustal velocities and GRACE (Gravity Recovery and Climate Experiment) gravity data. When the data are inverted with a set of GIA models, the best-fit model for the vertical motion signal has a χ2 value of approximately 1 and a maximum a posteriori uncertainty of 0.3–0.4 mm yr−1. An elastic correction is applied to the vertical land motion rates that accounts for present-day changes to terrestrial hydrology as well as recent mass changes of ice sheets and glaciered regions. Throughout the study area, mass losses from Greenland dominate the elastic vertical signal and combine to give an elastic correction of up to +0.5 mm yr−1 in central Scandinavia. Neglecting to use an elastic correction may thus introduce a small but persistent bias in model predictions of GIA vertical motion even in central Scandinavia where vertical motion is dominated by GIA due to past glaciations. The predicted gravity signal is generally less well-constrained than the vertical signal, in part due to uncertainties associated with the correction for contemporary ice mass loss in Svalbard and the Russian Arctic. The GRACE-derived gravity trend is corrected for present-day ice mass loss using estimates derived from the ICESat and CryoSat missions, although a difference in magnitude between GRACE-inferred and altimetry-inferred regional mass loss rates suggests the possibility of a non-negligible GIA response here either from millennial-scale or Little Ice Age GIA.

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