Sessions Announced for 2026 AGU Annual Meeting

Published: 7 July 2026

Submit your abstracts by August 5, 2026

Sessions for the 2026 American Geophysical Union (AGU) Annual Meeting have been announced. If you are leading a session relevant to the Atmospheric Radiation Measurement (ARM) User Facility, please let us know. We are collecting this information to be shared with the ARM community.

The sessions below are being convened by your colleagues during the AGU Annual Meeting from December 7 to 11, 2026, in San Francisco, California, and online.

The abstract submission deadline is 11:59 p.m. Eastern time August 5, 2026.

Scientific Sessions

• A005 – Advances in Cloud and Precipitation Processes: Integrating Observations, Modeling, and Theory
  Seeking contributions that highlight methods and solutions for advancing understanding and predictive capabilities of cloud and precipitation processes

• A008 – Advances in Fundamental Understanding of Convective Organization across Scales
  Seeking contributions that use observations, simulations, and theories to demonstrate fundamental mechanisms and properties of atmospheric convection across scales

• A009 – Advances in Global Aerosol Modeling: Representation, Assimilation, and Prediction
  Seeking contributions on techniques that improve the representation of aerosol species or processes within global models, observational data assimilation, and status updates from operational aerosol prediction systems and reanalysis activities

• A012 – Advances in Radar Remote Sensing of Clouds and Precipitation: Observations, Data Processing, Weather and Water Model Applications
  Seeking contributions on radar observations, related model applications, machine learning (ML) and data sciences in hydrometeorology remote sensing, and orographic and extreme precipitation

• A019 – Advancing Precipitation Prediction with Physical Models and Artificial Intelligence
  Seeking contributions on artificial intelligence (AI)-based and physical model-based prediction and analysis, and the use of observations and AI to assess precipitation predictability

• A025 – Aerosol, Cloud, Precipitation and Radiation Studies over High Latitudes
  Seeking contributions that use high-latitude aerosol, cloud, precipitation, and radiation data and/or numerical modeling to advance understanding of high-latitude processes

• A031 – AI-Driven Innovations in Earth and Atmospheric Sciences
  Seeking contributions that employ AI/ML/deep learning methods in various atmospheric, land, river, ocean, and earth system research and applications

• A043 – Atmospheric Research Supported by Uncrewed Aerial Systems and Tethered Balloon Systems
  Seeking contributions from uncrewed aerial system and tethered balloon system field campaigns

• A049 – Boundary Layer Clouds Across Scales: Processes, Regimes, and Earth System Coupling
  Seeking contributions that uncover cloud processes, identify cloud regimes, improve parameterizations, and accelerate scientific discovery

• A050 – Boundary Layer Processes and Turbulence
  Seeking contributions on turbulent boundary-layer studies based on theoretical, experimental, and numerical viewpoints 

• A054 – Cloud Observations and Measurements from Remote Sensing Instruments
  Seeking contributions on cloud studies using ML approaches and addressing long-term, multi-site observations and coordinated international strategies to enable reproducible, interoperable cloud data sets

• A096 – Observation and Model Studies of Cloud Properties and Associated Processes
  Seeking contributions focused on cloud properties, cloud processes, and cloud-associated models and parameterizations

• A100 – Processes of (Sub) Cloud Scales: Modeling, Observations and Parameterizations
  Seeking contributions on process-level modeling, observations, AI-aided analysis, and parameterizations of cloud processes

• A104 – Representation of Aerosol–Cloud–Radiation Interactions in Earth System Models
  Seeking contributions that highlight new insights into aerosol-cloud-radiation interactions modeling

• A120 – Understanding and Modeling of Mesoscale and Severe Local Convective Storm Processes
  Seeking contributions focused on storm structure and dynamics, physical processes influencing storm initiation and life cycle, and storm-environment interactions, particularly studies integrating observations and modeling and AI/ML to improve understanding and prediction of deep convective storm processes, interactions, and related hazards

• C008 – Coupled-system Processes of the Arctic Atmosphere-Sea Ice-Ocean System: Harnessing Field Observations and Advancing Models
  Seeking contributions that use data from the ARM-supported Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition