In the framework of different European atmospheric satellite missions DLR’s Remote Sensing Technology Institute develops algorithms for the accurate derivation of ozone and other trace gases (e.g. NO2, SO2, HCHO, CHOCHO, H2O, BrO, OClO) as well as physical aerosol and cloud properties from satellite data obtained from UVN atmospheric spectrometers. These algorithms are used operationally in near-real-time processing systems of DLR, AC-SAF, ESA and EUMETSAT.

The Remote Sensing Technology Institute has many years of experience in deriving atmospheric products from satellite measurements ranging from GOME/ERS-2, SCIAMACHY/ENVISAT, GOME-2/METOP to TROPOMI/S5P and continuing in the future with the Copernicus Sentinel missions Sentinel-4 and Sentinel-5 (see e.g. https://atmos.eoc.dlr.de/tropomi/ and https://atmos.eoc.dlr.de/gome2/).

The work is performed in close cooperation with national and international partners. We offer an excellent working environment and the opportunity to collaborate with the leading scientists in the field of satellite-based remote sensing of the atmosphere.

The holder of the position will be responsible for the following tasks:

• development of novel and refinement of existing scientific algorithms for the retrieval of trace gases from UVN instruments, here especially for the EU Copernicus Sentinel-5 Precursor, Sentinel-5 and Sentinel-4 atmospheric sensors
• comparison of existing algorithms with the requirements of the project, in particular with respect to their suitability for the operational retrieval of the trace gases
• development of new algorithms for the retrieval of trace gases  
• integration of the algorithms in pre-operational software and operational processors  
• comparison of the retrieval results with results from comparable satellite sensors and with ground-based remote sensing data
• verification, validation and documentation of the results
• publication of results in peer-reviewed journals
• presentation of results in project meetings and at international conferences