APARC General Assembly

Opportunity brief

Why this event matters for exhibitors

The APARC General Assembly will take place at the Indian Institute of Tropical Meteorology in Pune, India. This esteemed event will focus on advancing our understanding of high-resolution representation of the climate system, emphasizing the significance of enhanced observational capabilities and the increasing resolution of Earth system models. Attendees are encouraged to submit contributions that address the challenges and advantages of high-resolution and kilometer-scale modeling, including the observational needs required for validating such models. The event will also explore the implications of resolving fine-scale processes on the simulation of large-scale dynamics, as well as applications of artificial intelligence and machine learning in facilitating high-resolution modeling.In addition to high-resolution modeling, the assembly will delve into atmospheric composition and its variability in a changing climate. This segment will invite contributions addressing the impacts of fires, volcanic eruptions, and anthropogenic emissions, while also considering the long-term trends in ozone levels across the troposphere and stratosphere. Participants will explore the risks and benefits associated with strategies like stratospheric aerosol injection and solar radiation management approaches. Discussions on dynamical and thermodynamic fingerprints of climate forcing will also be a key focus, highlighting changes in atmospheric behavior due to various forcing agents, including greenhouse gases and aerosols.The assembly will mark a significant milestone as it will be the first held in the tropics, encouraging presentations on tropical climate and meteorology. This includes the evolution of tropical sea surface temperatures, monsoon systems, and the intricacies of extreme events. Contributions will further examine atmospheric chemistry and composition in the tropics, focusing on aerosol impacts on monsoon behavior and broader air quality concerns. Moreover, the predictabil