| Summary: | Supraglacial lakes on grounded regions of the Greenland and Antarctic ice sheets sometimes produce ‘lake ogives’ or banded structures that sweep downstream from the lakes. Using Supraglacial lakes on grounded regions of the Greenland and Antarctic ice sheets sometimes produce ‘lake ogives’ or banded structures that sweep downstream from the lakes. Using a variety of remote-sensing data, we demonstrate that lake ogives originate from supraglacial lakes that form each year in the same bedrock-fixed location near the equilibrium-line altitude. As the ice flows underneath one of these lakes, an ‘image’ of the lake is imprinted on the ice surface both by summer- season ablation and by superimposed ice (lake ice) formation. Ogives associated with a lake are sequenced in time, with the downstream ogives being the oldest, and with spatial separation equal to the local annual ice displacement. In addition, lake ogives can have decimeter- to meter-scale topographic relief, much like wave ogives that form below icefalls on alpine glaciers. Our observations highlight the fact that lake ogives, and other related surface features, are a consequence of hydrological processes in a bedrock-fixed reference frame. These features should arise naturally from physically based thermodynamic models of supraglacial water transport, and thus they may serve as fiducial features that help to test the performance of such models. Research conducted at the University of Chicago was supported by several US National Science Foundation (NSF) grants, including ARC-0907834, ANT-0944248 and ANT-0944193. We thank Dorian S. Abbot for helpful discussions and review of earlier manuscripts. This work began as a result of NSF-supported summer research internships awarded in 2010 to Pablo S. Wooley (Bowdoin College) and Julia E. Vidonish (University of Chicago). We thank S.G. Warren for informative discussions about the brightening of lake bottom surfaces. We also thank Roman J. Motyka for helpful discussions and the use of SPOT5 products. SPOT data ...
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