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. Below are the topics of research that we currently focus on.

Contact

Dr. Domenico Taraborrelli

IEK-8

Building 05.2 / Room 3030

+49 2461/61-6864

E-Mail

RESEARCH TOPICS

Multiphase Chemical Kinetics

We investigate the kinetics of multiphase chemical processes and assess their contribution to the reduction of model biases. We develop kinetic models for the transformation of trace components which affect the oxidation capacity and aerosols in the atmosphere.

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Atmospheric Aerosols 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.

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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.

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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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Energy Meteorology

We investigate the predictability of weather forecasts for renewable energy production. We apply nonlinear data assimilation and Big Data Analytics methods.

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We investigate the kinetics of multiphase chemical processes and assess their contribution to the reduction of model biases. We develop kinetic models for the transformation of trace components which affect the oxidation capacity and aerosols in the atmosphere.

More

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Last Modified: 30.11.2022