Andreas Luther

Dr. Andreas Luther is a Lecturer and Tutor in Environmental Sensing and Modeling at the Technical University of Munich (TUM). His research focuses on atmospheric modeling, greenhouse gas monitoring, and inverse emission estimation. He leads projects involving the MUCCnet urban carbon column network and develops software like Pyra for automated greenhouse gas measurements. His work combines mobile spectrometry, Lagrangian modeling, and Bayesian inversion techniques to quantify methane and CO2 emissions from coal mines, urban environments, and industrial sources. Collaborations include international projects like ICOS Cities and the GHG-KIT initiative.

Key research contributions include refining emission inventories using FTIR data, validating satellite measurements, and advancing mobile measurement systems. He teaches environmental sensing and modeling, contributing to student training through practical courses and seminars. His publications span conferences such as EGU and ICOS, with recent work addressing methane emissions in Vienna, Hamburg, and the Upper Silesian Coal Basin.

Dr. Luther’s lab focuses on combining remote sensing technologies with high-resolution dispersion models. He actively participates in EU-funded projects and has developed sensor frameworks for urban climate monitoring. His technical expertise spans both field instrumentation and computational inversion methods, bridging applied environmental science with data-driven solutions.