Dear colleagues,
We would like to advertise a polar-relevant session for the upcoming EGU meeting in Vienna (3-8 May, 2026):
Session Title: Quantifying Aerosol-Cloud-Climate Interactions in the Arctic: From Observations to Model Parametrization, link: https://meetingorganizer.copernicus.org/EGU26/session/56970
Conveners: Quentin Coopman, Radiance Calmer, Lauren Zamora, Imogen Wadlow
Abstract Submission Deadline: 15 January 2026
Submit your abstract here: Abstract Submission Link
Session Overview:
The Arctic is warming at a rate four times faster than the global average, yet aerosol-cloud interactions remain one of the largest sources of uncertainty in climate models. This session, organized under the QuIESCENT program, aims to bridge disciplinary gaps by bringing together scientists specialising in aerosols and clouds, physics and chemistry, and observations and modeling.
The Arctic is warming at a rate four times faster than the global average, yet aerosol-cloud interactions remain one of the largest sources of uncertainty in climate models. This session, organized under the QuIESCENT program, aims to bridge disciplinary gaps by bringing together scientists specialising in aerosols and clouds, physics and chemistry, and observations and modeling.
We welcome contributions that advance our understanding of Arctic cloud condensation nuclei (CCN) and ice-nucleating particles (INPs), their impact on clouds and climate, and strategies to improve their parameterisation in models.
Key topics include:
• The contrasting effects of anthropogenic pollution and natural aerosols on Arctic cloud microphysics and climate
• The role of aerosol-cloud-radiation interactions in determining Arctic boundary layer mixing and the processing of local pollution
• The influence of boundary layer structure and dynamics on the formation, development, and spatial distribution of Arctic clouds, as well as their interactions with aerosol particles
This session encourages studies utilising field campaigns, ground- and satellite-based observations, modeling, and long-term measurements to characterize the evolving Arctic aerosol population. Special emphasis will be placed on efforts to better parameterise cloud processes, including phase partitioning and microphysics, to reduce uncertainties in climate projections.
We look forward to your contributions and to fostering a productive discussion in Vienna! Please feel free to share this invitation with colleagues who may be interested.
Best wishes,
-the QuIESCENT steering committee
