Penetration of interferometric radar signals in Antarctic snow
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Published:2021-09-13
Issue:9
Volume:15
Page:4399-4419
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Rott HelmutORCID, Scheiblauer StefanORCID, Wuite JanORCID, Krieger LukasORCID, Floricioiu DanaORCID, Rizzoli PaolaORCID, Libert Ludivine, Nagler ThomasORCID
Abstract
Abstract. Synthetic aperture radar interferometry (InSAR) is an efficient
technique for mapping the surface elevation and its temporal change over
glaciers and ice sheets. However, due to the penetration of the SAR signal
into snow and ice, the apparent elevation in uncorrected InSAR digital
elevation models (DEMs) is displaced versus the actual surface. We studied
relations between interferometric radar signals and physical snow properties
and tested procedures for correcting the elevation bias. The work is based
on satellite and in situ data over Union Glacier in the Ellsworth Mountains,
West Antarctica, including interferometric data of the TanDEM-X mission,
topographic data from optical satellite sensors and field measurements on
snow structure, and stratigraphy undertaken in December 2016. The study area
comprises ice-free surfaces, bare ice, dry snow and firn with a variety of
structural features related to local differences in wind exposure and snow
accumulation. Time series of laser measurements of NASA's Ice, Cloud and
land Elevation Satellite (ICESat) and ICESat-2 show steady-state surface
topography. For area-wide elevation reference we use the Reference Elevation
Model of Antarctica (REMA). The different elevation data are vertically
co-registered on a blue ice area that is not affected by radar signal
penetration. Backscatter simulations with a multilayer radiative transfer
model show large variations for scattering of individual snow layers, but the
vertical backscatter distribution can be approximated by an exponential
function representing uniform absorption and scattering properties. We
obtain estimates of the elevation bias by inverting the interferometric
volume correlation coefficient (coherence), applying a uniform volume model
for describing the vertical loss function. Whereas the mean values of the
computed elevation bias and the elevation difference between the TanDEM-X
DEMs and the REMA show good agreement, a trend towards overestimation of
penetration is evident for heavily wind-exposed areas with low accumulation
and towards underestimation for areas with higher accumulation rates. In
both cases deviations from the uniform volume structure are the main reason.
In the first case the dense sequence of horizontal structures related to
internal wind crust, ice layers and density stratification causes increased
scattering in near-surface layers. In the second case the small grain size
of the top snow layers causes a downward shift in the scattering phase
centre.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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