TY - JOUR

T1 - Spatial and temporal variations in 94 GHz radar backscatter from a springtime snowpack

AU - Harcourt, William D.

AU - Robertson, Duncan A.

AU - Macfarlane, David G.

AU - Rea, Brice R.

AU - James, Mike R.

AU - Diggins, Mark

AU - Fyffe, Blair

PY - 2025/1/31

Y1 - 2025/1/31

N2 - 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 2 nd generation All-weather Volcano Topography Imaging Sensor (AVTIS2) 94 GHz radar and a Riegl LPM-321 Terrestrial Laser Scanner (TLS) 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 normalised radar cross section (σ0) and 3D point clouds. We measured an increase in σ0 of ∼ 10 dB over 24 hours during which time the daytime (09:00-18:00) average air temperature reduced from 2.2°C to 0.3°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 localised increase in σ0 of 10-15 dB. The high sensitivity of 94 GHz radar backscatter to changes in snow surface conditions demonstrates the capabilities of millimetre-wave radar for daily monitoring of snow cover characteristics across complex topography with a spatial resolution of approximately a few metres.

AB - 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 2 nd generation All-weather Volcano Topography Imaging Sensor (AVTIS2) 94 GHz radar and a Riegl LPM-321 Terrestrial Laser Scanner (TLS) 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 normalised radar cross section (σ0) and 3D point clouds. We measured an increase in σ0 of ∼ 10 dB over 24 hours during which time the daytime (09:00-18:00) average air temperature reduced from 2.2°C to 0.3°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 localised increase in σ0 of 10-15 dB. The high sensitivity of 94 GHz radar backscatter to changes in snow surface conditions demonstrates the capabilities of millimetre-wave radar for daily monitoring of snow cover characteristics across complex topography with a spatial resolution of approximately a few metres.

U2 - 10.1109/jstars.2024.3522583

DO - 10.1109/jstars.2024.3522583

M3 - Journal article

VL - 18

SP - 3611

EP - 3624

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SN - 1939-1404

ER -