About the seminar:

Aerosol effects in the atmosphere dominate uncertainty in climate predictions and are controlled by particle concentrations. These concentrations, in turn, depend on removal processes, with dry deposition contributing the largest uncertainty. The complexity of dry deposition—driven by both particle characteristics and meteorological conditions—makes it difficult to model accurately. This seminar evaluates one foundational dry deposition model and two subsequent updates developed for needleleaf forest conditions. While these models improve physical representation for that surface type, limited observations across other environments (e.g., water, ice, and grass) hinder broader evaluation. This highlights the need for meteorologically representative measurements to better constrain model performance across different surfaces.