Research project
Ice crystal dynamics in snow and its impact on radiative properties at large scales
Snow is a highly dynamic porous material mainly made from ice. As the snow structure evolves via so-called snow metamorphism, so evolve macroscopic properties as e.g., radiative properties relevant for surface energy balances and remote sensing. However, the increased understanding of snow processes has not yet found its way into adequate representations at larger scales. One reason is the lack of sufficiently complete metamorphism models that allow for a direct link between ice crystal growth, sublimation, and sintering and bulk properties.
We strive to formulate a most complete snow metamorphism model based on the phase-field technique and couple it to a radiative transfer model. By combining modeling results with experimental data using advanced data science and artificial intelligence techniques, we will study the link between ice physics and the evolution of radiative properties of a snowpack.
We expect a considerably more versatile snow metamorphism model to emerge than available today. The coupling to radiative properties and the data analysis will improve our understanding of process coupling from small scale physics to large scales. The model development will be of interest to the wider phase-field community and materials science, while the modeling and data analysis approaches shall find their way to applications as e.g., for photovoltaic installations in complex terrain, remote sensing or improving climate models.
Duration: 01.03.2025 - 29.02.2028
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