A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations

oleh: A. Voordendag, A. Voordendag, B. Goger, B. Goger, R. Prinz, T. Sauter, T. Mölg, M. Saigger, G. Kaser

Format: Article
Diterbitkan: Copernicus Publications 2024-02-01

Deskripsi

<p>Wind-driven snow redistribution affects the glacier mass balance by eroding or depositing mass from or to different parts of the glacier’s surface. High-resolution observations are used to test the ability of large-eddy simulations as a tool for distributed mass balance modeling. We present a case study of observed and simulated snow redistribution over Hintereisferner glacier (Ötztal Alps, Austria) between 6 and 9 February 2021. Observations consist of three high-resolution digital elevation models (<span class="inline-formula">Δ<i>x</i>=1</span> m) derived from terrestrial laser scans taken shortly before, directly after, and 15 h after snowfall. The scans are complemented by datasets from three on-site weather stations. After the snowfall event, we observed a snowpack decrease of 0.08 m on average over the glacier. The decrease in the snow depth can be attributed to post-snowfall compaction and the wind-driven redistribution of snow. Simulations were performed with the Weather Research and Forecasting (WRF) model at <span class="inline-formula">Δ<i>x</i>=48</span> m with a newly implemented snow drift module. The spatial patterns of the simulated snow redistribution agree well with the observed generalized patterns. Snow redistribution contributed <span class="inline-formula">−0.026</span> m to the surface elevation decrease over the glacier surface on 8 February, resulting in a mass loss of <span class="inline-formula">−3.9</span> kg m<span class="inline-formula"><sup>−2</sup></span>, which is on the same order of magnitude as the observations. With the single case study we cannot yet extrapolate the impact of post-snowfall events on the seasonal glacier mass balance, but the study shows that the snow drift module in WRF is a powerful tool to improve knowledge on wind-driven snow redistribution patterns over glaciers.</p>