Characterizing near-surface firn using the scattered signal component of the glacier surface return from airborne radio-echo sounding

We derive the scattered component (hereafter referred to as the incoherent component) of glacier surface echoes from airborne radio-echo sounding measurements over Devon Ice Cap, Arctic Canada, and compare the scattering distribution to firn stratigraphy observations from ground-based radar data. Lo...

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Bibliographic Details
Main Authors: Rutishauser, A, Grima, C, Sharp, M, Blankenship, DD, Young, DA, Cawkwell, F, Dowdeswell, JA
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
scattering signal component
radio-echo sounding
firn characterization
Arctic
Canada
Devon Ice Cap
Ice cap
Online Access:https://www.repository.cam.ac.uk/handle/1810/262912
https://doi.org/10.17863/CAM.8201
Description
Summary:We derive the scattered component (hereafter referred to as the incoherent component) of glacier surface echoes from airborne radio-echo sounding measurements over Devon Ice Cap, Arctic Canada, and compare the scattering distribution to firn stratigraphy observations from ground-based radar data. Low scattering correlates to laterally homogeneous firn above 1800m elevation containing thin, flat, and continuous ice layers and below 1200m elevation where firn predominantly consists of ice. Increased scattering between elevations of 1200-1800m corresponds to firn with inhomogeneous, undulating ice layers. No correlation was found to surface roughness and its theoretical incoherent backscattering values. This indicates that the scattering component is mainly influenced by the near-surface firn stratigraphy, whereas surface roughness effects are minor. Our results suggest that analyzing the scattered signal component of glacier surface echoes is a promising approach to characterize the spatial heterogeneity of firn that is affected by melting and refreezing processes. This work was supported by grants from UK NERC (NE/K004999), NASA (13-ICEE13-00018), NSERC (Discovery Grant/Northern Research Supplement), Alberta Innovates Technology Futures, the CRYSYS Program (Environment Canada), and a University of Alberta Northern Research Award.

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