Abstract ID: 3.12496 | Accepted as Talk | Talk/Oral | TBA | TBA

Micrometeorological processes at the glacier surface play a critical role in energy exchanges that drive melting and mass balance changes, yet accurately capturing turbulence dynamics and surface fluxes remains challenging. Sparse observational data and the complexity of the terrain limit our ability to identify the key atmospheric boundary layer processes that drive the microclimate over glaciers, and how these processes impact hydrology in glacierized catchments.
A key focus of current research is the characterization of the low-level wind speed maximum present in glacier winds. Determining its exact position and variability is integral for improving our understanding of the glacier microclimate and the extent of surface energy exchange processes. We present findings from past field campaigns on two valley glaciers in the Alps, the Silvretta glacier and the Hintereisferner, utilizing multi-level sonic anemometer measurements alongside high-resolution thermal infrared (TIR) imaging. By directing a TIR camera at large synthetic screens aligned with the glacier wind, we capture near-surface air temperature dynamics and stratification during katabatic flow conditions. The high temporal and spatial resolution of this approach allows for a more detailed characterization of the wind speed maximum and heat exchange dynamics within the glacier wind. The sonic anemometers measure turbulent fluxes under varying atmospheric conditions, complementing the TIR data. Lastly, clustering turbulence data from both sites allows us to explore how glacier wind characteristics vary with topography and surface type.
We discuss the potential and the limitations of the described measurement techniques, as well as the challenges in interpreting and processing turbulence data in complex terrain. This work offers detailed insights into glacier boundary layer dynamics, improving our ability to quantify and understand atmosphere-cryosphere interactions in alpine environments.