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

QUATERNARY SCIENCE REVIEWS

卷:125

Review

Stokes, Chris R.¹  Tarasov, Lev²  Blomdin, Robin^3,4,5  Cronin, Thomas M.⁶  Fisher, Timothy G.⁷  Gyllencreutz, Richard⁸  Hattestrand, Clas^4,5  Heyman, Jakob^4,5  Hindmarsh, Richard C. A.⁹  Hughes, Anna L. C.^10,11  Jakobsson, Martin⁸  Kirchner, Nina^4,5  Livingstone, Stephen J.¹²  Margold, Martin^1,4,5  Murton, Julian B.¹³  Noormets, Riko¹⁴  Peltier, W. Richard¹⁵  Peteet, Dorothy M.^16,17  Piper, David J. W.¹⁸  Preusser, Frank¹⁹  Renssen, Hans²⁰  Roberts, David H.¹  Roche, Didier M.^20,21  Saint-Ange, Francky¹⁸  Stroeven, Arjen P.^4,5  Teller, James T.²² 

[1] Univ Durham, Dept Geog, Durham DH1 3LE, England

[2] Mem Univ Newfoundland, Dept Phys & Phys Oceanog, St John, NF A1B 3X7, Canada

[3] Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA

[4] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden

[5] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden

[6] US Geol Survey, Reston, VA 20192 USA

[7] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA

[8] Stockholm Univ, Dept Geol Sci, S-10691 Stockholm, Sweden

[9] British Antarctic Survey, Cambridge CB3 0ET, England

[10] Univ Bergen, Dept Earth Sci, N-5007 Bergen, Norway

[11] Bjerknes Ctr Climate Res, N-5007 Bergen, Norway

[12] Univ Sheffield, Dept Geog, Sheffield S10 2TN, S Yorkshire, England

[13] Univ Sussex, Dept Geog, Brighton BN1 9QJ, E Sussex, England

[14] Univ Ctr Svalbard UNIS, N-9171 Longyearbyen, Norway

[15] Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada

[16] Lamont Doherty Earth Observ, Palisades, NY 10964 USA

[17] NASA Goddard Inst Space Studies, New York, NY 10025 USA

[18] Geol Survey Canada Atlantic, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada

[19] Univ Freiburg, Inst Earth & Environm Sci Geol, D-79104 Freiburg, Germany

[20] Vrije Univ Amsterdam, Fac Earth & Life Sci, Amsterdam, Netherlands

[21] CEA CNRS INSU UVSQ, LSCE, Gif Sur Yvette, France

[22] Univ Manitoba, Dept Geol Sci, Winnipeg, MB R3T 2N2, Canada

关键词: Ice sheet reconstruction;    Numerical modelling;    Palaeoglaciology;    Glaciology;   

DOI  :  10.1016/j.quascirev.2015.07.016

来源: Elsevier

【 摘 要 】

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. (C) 2015 Elsevier Ltd. All rights reserved.

【 授权许可】

Free