Air pollution still presents a major challenge for public health, with exposure to harmful levels of priority air pollutants, predominantly in urban areas, contributing to adverse health effects on a global scale. While advances in modelling and monitoring techniques have contributed to a better understanding of the underlying processes in the atmosphere, accounting for the environmental fate from release into the environment to chemical transformation and finally exposure and health effects requires further research. Yet, there are still substantial gaps with regard to accounting for spatial and temporal variability in pollution fields and exposure, and a better integration of observations and models beyond basic model validation. For this session, we invite contributions with a focus on novel approaches to use sensors (from stationary and mobile ground-based observations to airborne or earth observation platforms) or modelling techniques, including integration and methodology development. We want to particularly encourage papers that focus on: spatio-temporal variability/uncertainty, how this can be integrated with individual mobility, in the wider context of the urban-rural nexus. Finally, we welcome contributions discussing crowd-sourcing and citizen science approaches, or the utilisation of low-cost sensor networks, and the development of conceptual frameworks and open linked data concepts in the context of air pollution and human health.