Spatial and Temporal Variations in 94-GHz Radar Backscatter From a Springtime Snowpack

Terrestrial snow cover is a perennial feature of the mountain cryosphere and can change rapidly in response to variable weather patterns. Measuring the interaction between atmospheric conditions and a snowpack at high spatial and temporal resolution requires the use of close-range sensors. Here, we measured the variability of a spring snowpack across two corries in Scotland using ground-based 94 GHz radar in order to assess its ability to monitor snowpack changes. We deployed both the second generation All-weather Volcano Topography Imaging Sensor (AVTIS2) 94 GHz radar and a Riegl LPM-321 Terrestrial Laser Scanner in the Cairngorms National Park, Scotland, in March 2021 over 3 days. AVTIS2 is a tripod-mounted, real-aperture radar system which mechanically scans across a scene of interest to map normalized radar cross section <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(\sigma ^{0})$</tex-math></inline-formula> and 3-D point clouds. We measured an increase in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sigma ^{0}$</tex-math></inline-formula> of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula>10 dB over 24 h during which time the daytime (09:00–18:00) average air temperature reduced from 2.2 to 0.3 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C. We suggest this increase in radar backscatter was due to the transition of the snowpack from surface melting to a refrozen state. Overnight, snow drift led to the formation of windslab across the headwall of the corrie and subsequent snowpack failure, which we identified through a localized increase in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sigma ^{0}$</tex-math></inline-formula> of 10–15 dB. The high sensitivity of 94-GHz radar backscatter to changes in snow surface conditions demonstrates the capabilities of millimeter-wave radar for daily monitoring of snow cover characteristics across complex topography with a spatial resolution of approximately a few meters.

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Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2024-12-25
DOI
https://doi.org/10.1109/jstars.2024.3522583
Primary Topic
Cryospheric studies and observations
Type
article
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0.00

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article

Spatial and Temporal Variations in 94-GHz Radar Backscatter From a Springtime Snowpack

M. R. James, Duncan A. Robertson, Brice R. Rea, William D. Harcourt et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cryospheric studies and observations
article

Spatial and Temporal Variations in 94-GHz Radar Backscatter From a Springtime Snowpack

M. R. James, Duncan A. Robertson, Brice R. Rea, William D. Harcourt, Blair Fyffe, David G. Macfarlane, Mark Diggins
article en

Abstract

Terrestrial snow cover is a perennial feature of the mountain cryosphere and can change rapidly in response to variable weather patterns. Measuring the interaction between atmospheric conditions and a snowpack at high spatial and temporal resolution requires the use of close-range sensors. Here, we measured the variability of a spring snowpack across two corries in Scotland using ground-based 94 GHz radar in order to assess its ability to monitor snowpack changes. We deployed both the second generation All-weather Volcano Topography Imaging Sensor (AVTIS2) 94 GHz radar and a Riegl LPM-321 Terrestrial Laser Scanner in the Cairngorms National Park, Scotland, in March 2021 over 3 days. AVTIS2 is a tripod-mounted, real-aperture radar system which mechanically scans across a scene of interest to map normalized radar cross section <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(\sigma ^{0})$</tex-math></inline-formula> and 3-D point clouds. We measured an increase in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sigma ^{0}$</tex-math></inline-formula> of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula>10 dB over 24 h during which time the daytime (09:00–18:00) average air temperature reduced from 2.2 to 0.3 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C. We suggest this increase in radar backscatter was due to the transition of the snowpack from surface melting to a refrozen state. Overnight, snow drift led to the formation of windslab across the headwall of the corrie and subsequent snowpack failure, which we identified through a localized increase in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sigma ^{0}$</tex-math></inline-formula> of 10–15 dB. The high sensitivity of 94-GHz radar backscatter to changes in snow surface conditions demonstrates the capabilities of millimeter-wave radar for daily monitoring of snow cover characteristics across complex topography with a spatial resolution of approximately a few meters.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Andrews University (US), St. Andrews University (US), University of St Andrews (GB), University of Aberdeen (GB), Scottish Health Services (GB), Lancaster University (GB)
Sight Research UK, Natural Environment Research Council
Climate action
Openalex Percentile: Top 73%
Cryospheric studies and observations
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