Stokes, C.R. and Tarasov, L. and Blomdin, R. and Cronin, T.M. and Fisher, T.G. and Gyllencreutz, R. and Hättestrand, C. and Heyman, J. and Hindmarsh, R.C.A. and Hughes, A.L.C. and Jakobsson, M. and Kirchner, N. and Livingstone, S.J. and Margold, M. and Murton, J.B. and Noormets, R. and Peltier, W.R. and Peteet, D.M. and Piper, D.J.W. and Preusser, F. and Renssen, H. and Roberts, D.H. and Roche, D.M. and Saint-Ange, F. and Stroeven, A.P. and Teller, J.T. (2015) 'On the reconstruction of palaeo-ice sheets : recent advances and future challenges.', Quaternary science reviews., 125 . pp. 15-49.
Reconstructing the growth and decay of palaeo-ice sheets is critical to understanding mechanisms of global climate change and associated sea-level fluctuations in the past, present and future. The significance of palaeo-ice sheets is further underlined by the broad range of disciplines concerned with reconstructing their behaviour, many of which have undergone a rapid expansion since the 1980s. In particular, there has been a major increase in the size and qualitative diversity of empirical data used to reconstruct and date ice sheets, and major improvements in our ability to simulate their dynamics in numerical ice sheet models. These developments have made it increasingly necessary to forge interdisciplinary links between sub-disciplines and to link numerical modelling with observations and dating of proxy records. The aim of this paper is to evaluate recent developments in the methods used to reconstruct ice sheets and outline some key challenges that remain, with an emphasis on how future work might integrate terrestrial and marine evidence together with numerical modelling. Our focus is on pan-ice sheet reconstructions of the last deglaciation, but regional case studies are used to illustrate methodological achievements, challenges and opportunities. Whilst various disciplines have made important progress in our understanding of ice-sheet dynamics, it is clear that data-model integration remains under-used, and that uncertainties remain poorly quantified in both empirically-based and numerical ice-sheet reconstructions. The representation of past climate will continue to be the largest source of uncertainty for numerical modelling. As such, palaeo-observations are critical to constrain and validate modelling. State-of-the-art numerical models will continue to improve both in model resolution and in the breadth of inclusion of relevant processes, thereby enabling more accurate and more direct comparison with the increasing range of palaeo-observations. Thus, the capability is developing to use all relevant palaeo-records to more strongly constrain deglacial (and to a lesser extent pre-LGM) ice sheet evolution. In working towards that goal, the accurate representation of uncertainties is required for both constraint data and model outputs. Close cooperation between modelling and data-gathering communities is essential to ensure this capability is realised and continues to progress.
|Keywords:||Ice sheet reconstruction, Numerical modelling, Palaeoglaciology, Glaciology.|
|Full text:||(AM) Accepted Manuscript|
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
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|Publisher Web site:||http://dx.doi.org/10.1016/j.quascirev.2015.07.016|
|Publisher statement:||© 2015 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/|
|Date accepted:||14 July 2015|
|Date deposited:||19 October 2015|
|Date of first online publication:||04 August 2015|
|Date first made open access:||04 August 2016|
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