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US CLIVAR Related Sessions at AGU24

AGU24 Meeting Logo

The 2024 AGU meeting will take place December 9-13, 2024 in Washington, D.C. The theme, "What's Next for Science," will explore the future of our community and scientific discoveries. Abstract submissions are due July 31, 2024.

Climate and Atmosphere

Atmospheric Rivers: Processes, Impacts, and Uncertainties

Pacific Atmospheric Teleconnections: Dynamics, Impacts, and Future Projections

Climate, Ocean, and Coasts

Atlantic Climate Variability and Change: Mechanisms, Predictability, and Impacts

Dynamic Coastlines Amidst Changing Sea Levels: Advancements in Understanding of Coastal Hazards and Climate Change Impacts

El Niño-Southern Oscillation and Pantropical Climate Interactions: Mechanisms, Predictability, Impacts, and Projections

The Decade of Unusual ENSO Behavior: Understanding Variability and Impacts

Extremes and Impacts

Drought: Mechanisms and Impacts in the Past, Present, and Future

Heatwaves Behind the Scenes: Drivers, Mechanisms, Changes, and Impacts

Human Health and Safety in the Face of Climate-Charged Weather Disasters: Resilience Planning for Those Systems that Societies Rely Upon

Hydroclimate and Extremes in the Western United States in a Changing Climate

Urban Air Pollution: Interaction with Weather/Climate and Impact on Health

High Latitudes

Arctic Coastal Dynamics - What are the Emerging Frontiers?

Causes and Consequences of Polar Amplification

Emerging and New Technologies in Polar Ocean Observing

Observations, Modeling, and Data Assimilation

Advances and Challenges in Reducing Model Errors and Biases at Subseasonal to Seasonal Scales 

Bridging the Gap from Climate to Extreme Weather: Observations, Theory and Modeling

Climate Forcing: Quantifying the Roles and Responses of Anthropogenic and Natural Climate Drivers

Grand Challenges and Opportunities in Earth System Predictability

High Resolution Earth System Modeling on Large Supercomputers

Machine Learning and Traditional Statistics: Two Paradigms and Their Implications for Environmental Health Research and Policy

Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling

Recent Advancements for Representing Microbial Dynamics in Earth System Models

Risks of Tipping Points in the Earth System

Scientific Machine Learning for Climate Modeling

Subseasonal to Seasonal Tropical Variability: Observations, Modeling, Processes, and Global Impacts

Systematic Benchmarking and Evaluation of Climate and Earth System Models