Abstract

Abstract. Correct estimation of the firn lock-in depth is essential for correctly linking gas and ice chronologies in ice core studies. Here, two approaches to constrain the firn depth evolution in Antarctica are presented over the last deglaciation: outputs of a firn densification model, and measurements of δ15N of N2 in air trapped in ice core, assuming that δ15N is only affected by gravitational fractionation in the firn column. Since the firn densification process is largely governed by surface temperature and accumulation rate, we have investigated four ice cores drilled in coastal (Berkner Island, BI, and James Ross Island, JRI) and semi-coastal (TALDICE and EPICA Dronning Maud Land, EDML) Antarctic regions. Combined with available ice core air-δ15N measurements from the EPICA Dome C (EDC) site, the studied regions encompass a large range of surface accumulation rates and temperature conditions. Our δ15N profiles reveal a heterogeneous response of the firn structure to glacial–interglacial climatic changes. While firn densification simulations correctly predict TALDICE δ15N variations, they systematically fail to capture the large millennial-scale δ15N variations measured at BI and the δ15N glacial levels measured at JRI and EDML – a mismatch previously reported for central East Antarctic ice cores. New constraints of the EDML gas–ice depth offset during the Laschamp event (~41 ka) and the last deglaciation do not favour the hypothesis of a large convective zone within the firn as the explanation of the glacial firn model–δ15N data mismatch for this site. While we could not conduct an in-depth study of the influence of impurities in snow for firnification from the existing datasets, our detailed comparison between the δ15N profiles and firn model simulations under different temperature and accumulation rate scenarios suggests that the role of accumulation rate may have been underestimated in the current description of firnification models.

Highlights

  • Antarctic ice cores have provided outstanding records of past changes in climate and atmospheric composition (e.g. Jouzel et al, 2007; Loulergue et al, 2008; Luthi et al, 2008; Schilt et al, 2010)

  • The LGM MODEL-δ15N mean level is higher than the early Holocene (EH) MODEL-δ15N mean level. This is obvious for the EPICA Dome C (EDC) and EDML sites, while the amplitude of the MODEL-δ15N variation from the LGM to the EH is relatively reduced at JRI, TALDICE and BI

  • It illustrates that the Goujon model predicts that (i) the surface temperature increase is the dominant factor controlling the lock-in depth (LID) evolution during such a large climatic transition, for the sites characterized by the lowest accumulation rate, but (ii) that stronger competition with the effect of accumulation rate occurs for the coastal sites

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Summary

Methods and

Past Discuss.: 4 December 2012 Revised: 25 March 2013 – Accepted: 8 April 2013 – Published: 2 May 2013

Introduction
819 FIGURES
Firn densification models
Ice core timescales
Temperature and accumulation scenarios as input parameters
Modelled δ15N variations
Comparing modelled δ15N profiles with new δ15N measurements
What controls glacial–interglacial changes in firn structure?
Synthesis
Conclusions and perspectives
Full Text
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