A data-calibrated distribution of deglacial chronologies for the North American ice complex from glaciological modeling

Tarasov, Lev; Dyke, Arthur S.; Neal, Radford M.; Peltier, W. R.

doi:10.1016/j.epsl.2011.09.010

Cited by 382 publications

(511 citation statements)

References 25 publications

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“…Nonetheless, shore-line records can be a powerful constraint for numerical modelling of meltwater runoff from ice sheets (as well as providing further constraint on deglacial ice sheet evolution) in models that explicitly resolve proglacial lakes (see Fig. 9 in Tarasov et al, 2012). …”

Section: Proglacial Hydrology Of Ice Sheets and Proglacial Lakesmentioning

confidence: 99%

“…The resultant database contains ~4,000 dates, as well as interpolated margin position maps, which can be readily imported into GIS software for further analysis and integration with numerical modelling. Indeed, the new chronology has provided a powerful constraint for numerical modelling (Tarasov and Peltier, 2004;Tarasov et al, 2012)..…”

Section: Radiocarbon Dating and Pan-ice Sheet Margin Chronologiesmentioning

confidence: 99%

“…A key innovation in this regard has been the introduction of statistical emulators of complex models that enable large sampling within available computational resources (e.g. Tarasov et al, 2012).…”

Section: Model Resolution Parameterisation and Uncertaintymentioning

confidence: 99%

“…For regions of dense GIA-data coverage, such as North America, there is (to date) a trade-off of poorer fits to some of the GIA data (e.g. Tarasov et al, 2012). However, for regions under current ice-cover, such as Antarctica, GIAbased observatyions are sparse and provide relatively little constraint for deglacial evolution (Briggs et al, 2014).…”

Section: Constraining Ice Sheet Thickness and Palaeotopography Usingmentioning

confidence: 99%

“…However, for regions under current ice-cover, such as Antarctica, GIAbased observatyions are sparse and provide relatively little constraint for deglacial evolution (Briggs et al, 2014). Glaciological modelling also offers a clearer path to implementation of Bayesian model calibration to generate a probabilistic distribution of deglacial ice sheet chronologies (Tarasov and Peltier, 2012) based on model fits to constraint data.…”

Section: Constraining Ice Sheet Thickness and Palaeotopography Usingmentioning

confidence: 99%

See 4 more Smart Citations

On the reconstruction of palaeo-ice sheets: Recent advances and future challenges

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Section: Proglacial Hydrology Of Ice Sheets and Proglacial Lakesmentioning

confidence: 99%

Section: Radiocarbon Dating and Pan-ice Sheet Margin Chronologiesmentioning

confidence: 99%

Section: Model Resolution Parameterisation and Uncertaintymentioning

confidence: 99%

Section: Constraining Ice Sheet Thickness and Palaeotopography Usingmentioning

confidence: 99%

Section: Constraining Ice Sheet Thickness and Palaeotopography Usingmentioning

confidence: 99%

See 3 more Smart Citations

On the reconstruction of palaeo-ice sheets: Recent advances and future challenges

Stokes

Tarasov

Blomdin

et al. 2015

Quaternary Science Reviews

Self Cite

148

104

View full text Add to dashboard Cite

Last Glacial Maximum ice sheet impacts on North Atlantic climate variability: The importance of the sea ice lid

Vettoretti

Peltier

2013

Geophysical Research Letters

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Last Glacial Maximum (LGM) ICE‐5G (VM2), ICE‐6G (VM5a), and Paleoclimate Modelling Intercomparison Project Phase 3 ice sheet reconstructions are employed in high‐resolution coupled climate model simulations to investigate the changes they induce in North Atlantic climate variability. An initial ICE‐5G (VM2) experiment develops a rapid increase of sea ice extent once a thermal threshold is exceeded in this multimillennial simulation. Subpolar sea ice concentration and thickness are found to be strongly impacted by topographically induced downstream thermal effects from the Laurentide Ice Sheet in each of the reconstructions. However, in the two additional LGM perturbation experiments, the modeled changes in sea ice area are sufficiently similar to the LGM ICE‐5G (VM2) experiment to lead to an equilibrium Atlantic Meridional Overturning Circulation strength that is also reduced by the same ~40% from preindustrial even though we find significant variation among the models in the deep convection regions of the subpolar glacial North Atlantic. Model‐predicted sea ice concentrations in this critical region exceed those based upon multiproxy reconstructions, and we trace these significant differences to the intensity of the interannual variability of sea ice cover predictions.

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Space geodesy constrains ice age terminal deglaciation: The global ICE‐6G_C (VM5a) model

2015

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A new model of the last deglaciation event of the Late Quaternary ice age is here described and denoted as ICE-6G_C (VM5a). It differs from previously published models in this sequence in that it has been explicitly refined by applying all of the available Global Positioning System (GPS) measurements of vertical motion of the crust that may be brought to bear to constrain the thickness of local ice cover as well as the timing of its removal. Additional space geodetic constraints have also been applied to specify the reference frame within which the GPS data are described. The focus of the paper is upon the three main regions of Last Glacial Maximum ice cover, namely, North America, Northwestern Europe/Eurasia, and Antarctica, although Greenland and the British Isles will also be included, if peripherally, in the discussion. In each of the three major regions, the model predictions of the time rate of change of the gravitational field are also compared to that being measured by the Gravity Recovery and Climate Experiment satellites as an independent means of verifying the improvement of the model achieved by applying the GPS constraints. Several aspects of the global characteristics of this new model are also discussed, including the nature of relative sea level history predictions at far-field locations, in particular the Caribbean island of Barbados, from which especially high-quality records of postglacial sea level change are available but which records were not employed in the development of the model. Although ICE-6G_C (VM5a) is a significant improvement insofar as the most recently available GPS observations are concerned, comparison of model predictions with such far-field relative sea level histories enables us to identify a series of additional improvements that should follow from a further stage of model iteration.

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A data-calibrated distribution of deglacial chronologies for the North American ice complex from glaciological modeling

Cited by 382 publications

References 25 publications

On the reconstruction of palaeo-ice sheets: Recent advances and future challenges

On the reconstruction of palaeo-ice sheets: Recent advances and future challenges

Last Glacial Maximum ice sheet impacts on North Atlantic climate variability: The importance of the sea ice lid

Space geodesy constrains ice age terminal deglaciation: The global ICE‐6G_C (VM5a) model

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