A postglacial relative sea-level database for the Russian Arctic coast

Baranskaya, Alisa; Khan, Nicole S.; Romanenko, F. A.; Roy, Keven; Peltier, W. R.; Horton, Benjamin P.

doi:10.1016/j.quascirev.2018.07.033

Cited by 41 publications

(28 citation statements)

References 80 publications

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“…We found the best compromise of maximizing ice volume and near-field sea-level observations 32 was with a high lower mantle viscosity, which we set to 4 × 10 22 Pa s. The Eurasian ice sheets reconstruction was initially tuned to provide a relatively good fit to postglacial sea-level indicators. Specifically, areas near the edge of the ice sheet 33 required relatively thin ice at the LGM. The GIA response for areas covered by the Eurasian ice sheets also fit better with our chosen mantle viscosity (4 × 10 22 Pa s) than with lower values.…”

Section: Resultsmentioning

confidence: 99%

“…The best-constrained part of paleo-ice sheet configuration is the margin, and through our tests, is also the primary control on ice volume. The basal shear stress was adjusted in order to maximize LGM ice volume and reduced downwards during the deglacial period to improve the fit to postglacial sea-level constraints from recent compilations 32 , 33 , 52 – 56 . Due to the 2500 year time steps in this reconstruction, the postglacial sea level in the core areas of the ice sheet are overestimated (since the load does not reduce quickly enough between time steps), so for these areas, the sea-level indicators were only used to give a general sense of how well the model performed.…”

Section: Methodsmentioning

confidence: 99%

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A new global ice sheet reconstruction for the past 80 000 years

et al. 2021

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The evolution of past global ice sheets is highly uncertain. One example is the missing ice problem during the Last Glacial Maximum (LGM, 26 000-19 000 years before present) – an apparent 8-28 m discrepancy between far-field sea level indicators and modelled sea level from ice sheet reconstructions. In the absence of ice sheet reconstructions, researchers often use marine δ18O proxy records to infer ice volume prior to the LGM. We present a global ice sheet reconstruction for the past 80 000 years, called PaleoMIST 1.0, constructed independently of far-field sea level and δ18O proxy records. Our reconstruction is compatible with LGM far-field sea-level records without requiring extra ice volume, thus solving the missing ice problem. However, for Marine Isotope Stage 3 (57 000-29 000 years before present) - a pre-LGM period - our reconstruction does not match proxy-based sea level reconstructions, indicating the relationship between marine δ18O and sea level may be more complex than assumed.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A new global ice sheet reconstruction for the past 80 000 years

et al. 2021

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“…Lower panel-those curves that fulfil the criteria for which to infer a rate of relative sea level change. Dark blue circles-European coastline (García-Artola et al 2018;Meijles et al 2018;Hijma & Cohen 2019); violet triangles-British Isles (Shennan et al 2018); yellow squares-Scandinavia (Tushingham & Peltier 1993;Nordman et al 2015); pink stars-Russian Arctic (Baranskaya et al 2018). The approximate LGM boundary is shown by the black dashed line (Hughes et al 2016).…”

Section: Ov E Rv I E W O F R E G I O N a L G L A C I A L H I S T O Ry A N D G I A M O D E L L I N G S T U D I E Smentioning

confidence: 99%

“…Following published data sources, the study area is divided into four regions (Fig. 1): i) the European coastline (García−Artola et al 2018;Meijles et al 2018;Hijma & Cohen 2019), ii) the British Isles (Shennan et al 2018), iii) Scandinavia including Svalbard (Tushingham & Peltier 1993;Nordman et al 2015), and iv) the Russian Arctic (Baranskaya et al 2018).…”

Section: Geological Rsl Data: Availability and Selection Criteriamentioning

confidence: 99%

“…The European coastline has a total of 15 RSL curves, with 13 along the Atlantic coastline (García−Artola et al 2018) and an additional two sites in the Netherlands along the North Sea coastline (Meijles et al 2018;Hijma & Cohen 2019). The British Isles database has 86 RSL curves (Shennan et al 2018), Scandinavia has 47 RSL curves, and the Russian Arctic has 26 RSL curves (Baranskaya et al 2018). Within most of the databases, individual sea level indicators are classified as being either sea level index points (SLIPs) or as marine or terrestrial limiting data.…”

Section: Geological Rsl Data: Availability and Selection Criteriamentioning

confidence: 99%

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Constraint of glacial isostatic adjustment in the North Sea with geological relative sea level and GNSS vertical land motion data

Simon

Riva

Vermeersen

2021

Geophysical Journal International

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Summary In this study, we focus on improved constraint of the glacial isostatic adjustment (GIA) signal at present-day, and its role as a contributor to present-day sea-level budgets. The main study area extends from the coastal regions of northwestern Europe to northern Europe. Both Holocene relative sea level (RSL) data as well as vertical land motion (VLM) data are incorporated as constraints in a semi-empirical GIA model. 71 geological rates of GIA-driven RSL change are inferred from Holocene proxy data and 108 rates of vertical land motion from GNSS provide an additional measure of regional GIA deformation. Within the study area, the geological RSL data complement the spatial gaps of the VLM data and vice versa. Both datasets are inverted in a semi-empirical GIA model to yield updated estimates of regional present-day GIA deformations. A regional validation using tide gauges is presented for the North Sea, where the GIA signal may be complicated by lateral variations in Earth structure and existing predictions of regional and global GIA models show discrepancies. The model validation in the North Sea region suggests that geological data are needed to fit independent estimates of GIA-related RSL change inferred from tide gauge rates, indicating that geological rates from Holocene data do provide an important additional constraint for data-driven approaches to GIA estimation.

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Influence of 3D Earth structure on Glacial Isostatic Adjustment in the Russian Arctic

Li¹,

Khan²,

Baranskaya³

et al. 2020

Preprint

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The western Russian Arctic was partially covered by the Eurasian ice sheet complex during the Last Glacial Maximum (∼26 ka BP) and is a focus area for understanding the response of the solid Earth to ice loading and unloading events, known as glacial isostatic adjustment (GIA). We use a database containing standardized relative sea-level (RSL) data to validate one-dimensional (1D; laterally homogeneous) GIA models and test new three-dimensional (3D; laterally heterogeneous) GIA models. We find that 1D models fit the RSL data along the southern coast of Barents Sea and Franz-Josef-Land but show significant misfits with the RSL data in the White Sea region. We find the optimal 3D model improves the fit around the White Sea region while retaining good fits achieved by 1D models. Our results reveal deglacial RSL changes are (a) sensitive to laterally varying lithosphere and viscosity structure in the upper mantle in the western Russian Arctic; and (b) insensitive to viscosity structure in the lower mantle compared to the upper mantle in the Russian Artic. Furthermore, we notice that 3D GIA models with different background 1D viscosities and lateral viscosity variations can provide similar fit with the RSL data. LI ET AL.

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A postglacial relative sea-level database for the Russian Arctic coast

Cited by 41 publications

References 80 publications

A new global ice sheet reconstruction for the past 80 000 years

A new global ice sheet reconstruction for the past 80 000 years

Constraint of glacial isostatic adjustment in the North Sea with geological relative sea level and GNSS vertical land motion data

Influence of 3D Earth structure on Glacial Isostatic Adjustment in the Russian Arctic

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