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Atmospheric Modelling
About
Our central goal is to expand our understanding of tropospheric processes and accurately model the atmospheric composition. For that we constantly probe for unobservable processes to explain the chemical state of the atmosphere. Our research focuses on multiphase processes involving tropospheric oxidants and pollutants in the gas and condensed phases. We investigate to which extent observations are predictable and informative about the internal states of the atmosphere. This knowledge allows us to reliably predict air quality and optimize the emissions of pollutants. Furthermore, we explore the interactions between weather and atmospheric composition and how the latter mediates the coupling between the biosphere and the climate system.
Research Topics
We deal with a wide range of scientific issues and methods for their investigation:
- Atmospheric Aerosol Modelling: We investigate the impact of tropospheric aerosols on air quality and of aersol-cloud interactions on climate. We develop and apply numerical algorithms for aerosol thermodynamics and formation of cloud droplet and ice crystals.
- Air Quality and Emission Optimization: We perform chemical weather forecasts and provide numerical analysis for particular events and field missions. We apply and develop advanced data assimilation methods for optimizing emissions and investigate predictability and observability.
- Atmospheric Chemistry in the Earth System: We investigate the interactions of atmospheric composition with weather and climate. We improve the model representation of surface-atmosphere exchanges and port atmospheric chemistry submodels to GPU-based supercomputers.
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Last Modified: 16.04.2025