Atmospheric and Hydrospheric Sciences (A)
Session Sub-categoryComplex & General (CG)
Session IDA-CG56
Title Linking Air Pollutants and GHG Emissions to Climate and Environmental Change
Short Title Linking Air Pollutants and GHG Emissions
Main Convener Name Dmitry Belikov
Affiliation Center for Environmental Remote Sensing, Chiba University
Co-Convener 1 Name Prabir Patra
Affiliation Principal Scientist at Research Institute for Global Change, JAMSTEC and Professor at Research Institute for Humanity and Nature
Co-Convener 2 Name Naoko Saitoh
Affiliation Center for Environmental Remote Sensing
Co-Convener 3 Name Hitoshi Irie
Affiliation Center for Environmental Remote Sensing, Chiba University
Session Language E
Scope The emission of air pollutants and greenhouse gases (GHGs) from natural processes and human activities, such as industrial processes, transportation, agriculture, and energy production, has a wide range of interconnected impacts on air quality, human health, climate, and ecosystems. Accurately quantifying these emissions is essential for understanding variability and trends in atmospheric composition, identifying key sources and processes, and designing effective and feasible mitigation strategies. However, variations in activity levels, emission factors, and atmospheric transport, as well as uncertainties in natural emission processes due to limited or incomplete observations, pose significant challenges for emission inventories and models. These limitations hinder our ability to fully understand the complex interactions between emissions and the Earth system, including feedback loops that influence climate, ecosystem function, and human well-being. This session aims to bring together studies on the development, evaluation, or validation of air pollutant and GHG emission inventories using both bottom-up and top-down approaches. We also welcome contributions that investigate the impacts of emissions on air quality, climate, and ecosystems at global, regional, and local scales. This includes studies exploring novel observational, modeling, or data integration techniques to reduce uncertainties and improve the reliability of emission estimates.
Session Format Orals and Posters session