The iberulite fall was, to our knowledge, the first reported in central Europe. Special was, that the fall was observed in-situ and that the meteorological conditions during the fall are well known. The meteorology, the particle size distribution inside the iberulites, and the presence of a Greenfield gap in the latter strongly corroborates below-cloud scavenging as probable formation mechanism.

The dynamics of how tire wear particles behaves prior to their entrainment are still poorly understood. In wind tunnel experiments, these particle detachment from an idealised glass substrate were monitored. For particle size above 80 μm, smaller and more rounded particles were mobilised by wind shear first, whereas larger and more angular particles require stronger wind shear, highlighting strong surface adhesion and particle morphology as the major factors influencing microplastic detachment.

Clouds in cold regions affect climate and precipitation, but their behavior depends on rare airborne particles that help ice form. We measured these particles over several months in a Finnish forest and compared them with many environmental observations. We found that ice formation in winter was largely unpredictable, while in spring and summer it was more strongly linked to particle amount and composition. This shows that local conditions are needed to better represent clouds in climate models.

This study uses advanced computer simulations to explore how falling water drops remove airborne particles. It shows that when drops deform and oscillate, their motion strongly affects how efficiently aerosols are captured. The model accurately predicts drop speed and shape, but capture rates can differ from experiments by up to an order of magnitude. These gaps likely stem from missing physical effects (evaporation), uncertainties in aerosol measurements and numerical inaccuracies.

We have attempted for the first time to elucidate the mechanism of inorganic particle formation and growth in sub 10 nm size. Results show that by introducing corona discharge into a flame, based on precursor concentration, we can either promote or suppress particle formation and growth. This can help better understand the effect of plasmas on combustion synthesis of nanoparticles.

A computationally efficient monodisperse particle dynamics-computational fluid dynamics simulation is developed to predict soot particle growth in flames without use of reaction kinetic models. The proposed model is in good agreement with soot volume fraction and mobility size measurements, demonstrating a level of accuracy comparable to that of sectional models. This model can be readily used for design applications of engines and industrial burners.

This study reports from an inter-laboratory comparison to assess particle size distributions of three test aerosols using 35 OPCs from 16 partners over 40 weeks. Despite a common protocol and a shared reference OPC, notable inter-instrument differences appeared, highlighting the challenge of achieving consistent results across laboratories. The resulting database cannot yet allow define good laboratory practices, but it offers a methodology and reference data to improve OPC reliability.

Black carbon particles absorb sunlight and warm the climate, but their properties change in the atmosphere. We measured how changes in soot particle shape affect size-resolved light absorption. Our results show that compacted particles absorb more light, although this effect can reverse due to competing physical processes.

The manuscript presents the very first measurements of droplet and particle sizes and concentrations through the parts of an Elastic Light Scatter Detector. Measurements were made using two instruments, phase Doppler particle anemometry and an aerodynamic aerosol classifier to resolve the size distribution of volatile particles upstream and dried particles downstream. The final measurements are used in a companion paper comparison with simulations.

The paper presents a model for the atomisation and evaporation of a stream of solvents containing less volatile analytes through a system, designed to detect the final dried particles using elastic scatter, called elastic light scatter detector. The results of simulations of the total particle concentrations as well as the final light scattered signals are compared to experiments for validation. This is the first set of simulations of this detection device.

We developed a new online method to measure water-soluble iron in airborne particles using spectrophotometry of the magenta iron-ferrozine complex. Two sampling systems were tested and worked reliably, though one underestimated iron due to shorter extraction time. The method is well suited for field applications and could support future improvements of atmospheric iron modeling.

Coastal aerosols in Scandinavian urban areas remain understudied. We examined aerosol optical properties and size distributions along Denmark's coastline. Combining in-situ data with dispersion modelling, we identified two main aerosol types: carbonaceous aerosols from fossil fuel and biomass burning and large, highly-scattering aerosols (potentially sea salt). Black carbon from in-situ data and dispersion modelling correlated well while FLEXPART underestimated the concentration.