ACINN Graduate Seminar - WS 2025/26

2025-11-05 at 12:00 (on-line and on-site)

Inferring Glacier Meteorology Based on Remote Sensing and Physical
Modeling

Shaoting Ren

Institute of Science and Technology Austria (ISTA), Austria

 

Local meteorology is crucial to understand the rapid response of mountain glaciers to climate change and remains a major source of uncertainty in glacier modeling. However, it is often challenging to observe and simulate due to site inaccessibility, instrument maintenance and the complex interactions between glaciers and their surroundings. The advent of high-resolution, globally available remote sensing observations provides new opportunities to infer bias-corrected, high-mountain meteorological conditions from climate reanalysis by exploiting observed glacier changes.

In this talk, I will first review recent advances in glacier studies using remote sensing and numerical modeling. I will then introduce an approach to infer mountain meteorology through model inversion, combining Monte Carlo simulations with Bayesian inference. Finally, I will present evaluations over four benchmark glaciers and discuss future
perspectives for applying this framework to broader cryosphere studies.

 

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