Atmospheric composition and air quality are at the core of global environmental change, with profound implications for public health, ecosystems, and policy. Fine particulate matter, ozone, and reactive trace gases increasingly interact with wildfires, heatwaves, urbanization, and climate variability, creating complex exposure patterns and disproportionate risks for vulnerable groups.
New frontiers in satellite monitoring—from Low Earth Orbit to geostationary platforms—combined with chemical transport models and artificial intelligence, now allow unprecedented accuracy in characterizing pollution sources, dynamics, and health outcomes. At the same time, integrative frameworks linking atmospheric science, epidemiology, and socio-economic analysis are essential for informing effective adaptation and mitigation strategies.
This interdisciplinary session invites studies that advance understanding of atmospheric composition, air quality, and health through innovative observations, modeling, and AI applications. We especially encourage contributions that explore climate–air quality–health interactions, quantify health and economic burdens, develop early-warning systems, and provide policy-relevant insights. The session aims to foster cross-disciplinary collaboration to support evidence-based decision-making for cleaner air and healthier societies.