Summary
Franziska Hellmuth is a doctoral research fellow at the University of Oslo with eight years of experience studying snowfall, mixed-phase clouds, and remote sensing in mid-to-high latitudes. She combines in-situ field campaign work (MRR, MASC, precipitation gauges) with satellite and radar retrievals (CloudSat, CALIPSO) and model comparisons (MEPS, ERA5, CMIP6) to diagnose how weather and climate models represent snow microphysics. Proficient in Python, HPC, and scientific communication, she translates detailed physical understanding into data-driven insights that can improve forecasting and climate services for cold regions. Based in Oslo, she brings practical Arctic field experience and a strong record of bridging observations and models to support hydropower forecasting, Earth observation, and climate impact analysis.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Atmospheric Sciences and Meteorology, Master of Science - MS, Atmospheric Sciences and Meteorology at University of Oslo
Bachelor of Science - BS, Meteorology, Bachelor of Science - BS, Meteorology at Leipzig University