The response of fabric variations to simple shear and migration recrystallization

The observable microstructures in ice are the result of many dynamic and competing processes. These processes are influenced by climate variables in the firn. Layers deposited in different climate regimes may show variations in fabric which can persist deep into the ice sheet; fabric may 'remem...

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Bibliographic Details
Published in:Journal of Glaciology
Main Authors: Kennedy, Joseph H. Oak Ridge National Lab. , Oak Ridge, TN, Computational Earth Sciences Group; Univ. of Alaska, Fairbanks, AK . Dept. of Physics, Pettit, Erin C. Univ. of Alaska, Fairbanks, AK . Dept. of Geosciences
Language:unknown
Published: 2016
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Online Access:http://www.osti.gov/servlets/purl/1187919
https://www.osti.gov/biblio/1187919
https://doi.org/10.3189/2015JoG14J156
Description
Summary:The observable microstructures in ice are the result of many dynamic and competing processes. These processes are influenced by climate variables in the firn. Layers deposited in different climate regimes may show variations in fabric which can persist deep into the ice sheet; fabric may 'remember' these past climate regimes. In this paper, we model the evolution of fabric variations below the firn–ice transition and show that the addition of shear to compressive-stress regimes preserves the modeled fabric variations longer than compression-only regimes, because shear drives a positive feedback between crystal rotation and deformation. Even without shear, the modeled ice retains memory of the fabric variation for ~200 ka in typical polar ice-sheet conditions. Our model shows that temperature affects how long the fabric variation is preserved, but only affects the strain-integrated fabric evolution profile when comparing results straddling the thermal-activation-energy threshold (~–10°C). Even at high temperatures, migration recrystallization does not eliminate the modeled fabric's memory under most conditions. High levels of nearest-neighbor interactions will, however, eliminate the modeled fabric's memory more quickly than low levels of nearest-neighbor interactions. Finally, our model predicts that fabrics will retain memory of past climatic variations when subject to a wide variety of conditions found in polar ice sheets.