Leah Sophie Muhle

CR Cryospheric Sciences

The 2025 Outstanding Student and PhD candidate Presentation (OSPP) Award is awarded to Leah Sophie Muhle for the poster/PICO entitled:

Towards a new method for estimating englacial attenuation (Muhle, L. S.; Moss, G.; Henry, C.; Schlegel, R.; Drews, R.)

Click here to download the poster/PICO file.

Leah Sophie Muhle is a PhD student in Geophysics and Glaciology at the University of Tübingen, Germany. The primary focus of her research is the development of a novel method for deriving depth-resolved radar attenuation rates from radar measurements of the Antarctic Ice Sheet. A more accurate estimation of attenuation rates may improve estimates of englacial temperatures and, consequently, better constrain ice flow models predicting the future evolution of the ice sheet.

Leah uses simulated radar data of ice sheets to ascertain the relationship between internal reflections in radar measurements and attenuation rates with simulation-based inference (SBI). SBI is a Bayesian machine learning framework that can be trained to learn the posterior distribution of attenuation rates from synthetic radar data. The preliminary findings presented here suggest that this novel approach can provide reliable estimates of depth-averaged attenuation rates for synthetic radar traces and show promise in inferring depth-resolved attenuation rates from synthetic radar data.