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

William D Harcourt* (Corresponding Author), Duncan A. Robertson, David G. Macfarlane , Brice Rea, Michael James, Mark Diggins, Blair Fyffe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 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.
Original languageEnglish
Pages (from-to)3611-3624
Number of pages15
JournalIEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing
Volume18
Early online date25 Dec 2024
DOIs
Publication statusPublished - 2025

Bibliographical note

Particular thanks go to the Scottish Avalanche Information Service (SAIS) for fruitful discussions and enabling access to the field site.
For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) license to any Accepted Manuscript version arising.

Data Availability Statement

No data availability statement.

Funding

Funding for this study was obtained from the Gray Milne Travel Bursary distributed through the British Geophysical Association (BGA). William D. Harcourt was funded by the Engineering and Physical Sciences Research Council (EPSRC; grant number: EP/R513337/1) and the Scottish Alliance for Geoscience, Environment and Society (SAGES). The Riegl LPM-321 TLS was funded by NERC (NE/F018010/1).

FundersFunder number
Natural Environment Research CouncilNE/F018010/1
Engineering and Physical Sciences Research CouncilEP/R513337/1
Scottish Alliance for Geoscience, Environment and SocietyPhD Studentship

    Keywords

    • Millimetre-wave radar
    • snowmelt
    • snow avalanche
    • radar backscatter
    • snow monitoring

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