Germany
Research Associate / Ph.D. Student in the field of climate science. In this project, we aim to combine observational data from multiple remote sensing instruments and machine learning to predict comprehensive 3D cloud fields from 2D satellite data (MSG SEVIRI, CloudSat CPR) and investigate the output's potential to analyse convective cloud behaviour.
Research Assistant dealing with the creation of an use-case example for the usage of the ”tobac” Python software package for detecting convective clouds in the VIS spectrum of GOES-16 data.