Forschungszentrum Jülich

Homepage: https://www.fz-juelich.de

The PhD project aims for a new method to derive ground-level concentrations from satellite-based measurements and additional data. Specifically, the project’s objective is to develop a data-driven method that maps satellite-derived data to ground-level concentrations for air pollutants such as NO2 (nitrogen dioxide), CO (carbon monoxide), and SO2 (sulfur dioxide). The methodology will be embedded into the data assimilation workflow of the European Air pollution Dispersion-Inverse Model (EURAD-IM). Focus will be placed on the Sentinel-5P TROPOMI (Tropospheric Monitoring Instrument) data, which is available since 2018 and thus provides a big dataset. However, the transferability to Sentinel 4 and 5 data recently launched in July and August 2025 will be explored. All this has the potential to enhance the performance of emission data analyses to the next level.

Please follow this instructions at https://recruiting.fz-juelich.de/jobposting/ec0d575de3146187f2099f9ee9293e1e4fa0bdbd0