Immersionfreezing of droplets containing single aerosol particles, for different atmospherically relevant particles types.
Aerosol-Cloud Interaction
Process Studies on Small Spacial and Temporal Scales
Basic process understanding and a sufficient data basis on the interaction between aerosols, clouds and radiation are essential for the improvement of future weather and climate predictions. We investigate the effect of activation and freezing processes and turbulent mixing processes on the microphysical and radiative properties of clouds as well as on cloud extend and their life cycle.
Chemical multiphase processes in clouds, fog and mist modify the chemical composition and thus the physical properties of tropospheric aerosols on all scales up to the global scale. In order to quantify their environmental relevance and to project their effects in coupled chemistry transport models in an adequate form, detailed and combined laboratory-, field-, and modelling process studies are essential.
Aerosol and clouds - microphysical interactions
Ice crystal growth under different thermodynamic conditions.
Atmospheric concentrations of ice nucleating particles at different locations on Earth.
Determination of particle properties of such aerosols that form ice inside clouds.
Remote-sensing techniques provide information about the presence of ice crystals in clouds.
Determination of particle properties of such aerosols that form liquid clouds.
Investigation of the budget of solar and terrestrial radiation at the ground and the top of the atmosphere.
Secondary ice production leads to an enhancement of the ice particle number concentration in mixed-phase clouds.
At TROPOS, there is a variety of programs with which the interaction between aerosol paricles and clouds is modelled.
Dynamics, turbulence and their influence on cloud processes
Since the beginning of 2017, the "Turbulent Leipzig Aerosol Cloud Interaction Simulator" (LACIS-T) is available for the examination of the influence of turbulence on aerosol cloud interactions.
Studies for a better understanding of the mixing processes on the cloud edges
Highly resolved cloud simulations, in combination with in-situ measurements and remote sensing data contribute to the understanding of interaction processes in the atmospheric boundary layer.
Island influence on atmospheric flow patterns und cloud generation with modern measuring methods and numerical modeling.
Better understand cloud life cycles, e.g. for application in nowcasting.
Chemical multiphase processes
ACD-C with its twin chamber setup is a unique research infrastructure.