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.
Authors
- M. R. James (ORCID: https://orcid.org/0000-0002-9177-2588)
- Duncan A. Robertson (ORCID: https://orcid.org/0000-0002-4042-2772)
- Brice R. Rea (ORCID: https://orcid.org/0000-0002-9928-145X)
- William D. Harcourt (ORCID: https://orcid.org/0000-0003-3897-3193)
- Blair Fyffe
- David G. Macfarlane (ORCID: https://orcid.org/0000-0002-4724-7591)
- Mark Diggins
Institutions
- Andrews University (US)
- St. Andrews University (US)
- University of St Andrews (GB)
- University of Aberdeen (GB)
- Scottish Health Services (GB)
- Lancaster University (GB)
Publication Details
- 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
- Field-Weighted Citation Impact
- 0.00
Funders
- Sight Research UK
- Natural Environment Research Council