CLIVAR-relevant sessions at 2019 AGU Fall Meeting

The 2019 AGU Fall Meeting will be held from December 9-13 in San Francisco, California. In preparation for the meeting, we have compiled a list of sessions that are relevant to the community and organized by our Panels, Working Groups, and community members. The list of sessions is not intended to be exhaustive but to help digest the collection of the hundreds of sessions and events.

If you would like to have your session included in the list, email Jennie

US CLIVAR-Specific Sessions

High Impact Event Prediction on Subseasonal to Interannual Timescales 

Climate and BGC/Water/Land/Ecosystems

Climate of the Common Era

Decadal Climate Variability - Mechanisms, Predictability and Prediction

The global water cycle: Coupling and Exchanges between the ocean, land, and atmosphere

Extremes and Impacts

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

High Impact Event Prediction on Subseasonal to Interannual Timescales

The Dynamics of the Large-Scale Atmospheric Circulation in Past, Present and Future Climate: Jet Streams, Storm Tracks, Stationary Waves, and Monsoons


Arctic and midlatitude linkage: Causes and Effects

Atmosphere and Cryosphere Coupling in the Arctic: Observations, Modeling, and Implication for Future Arctic Changes

Surface-atmosphere interactions in the Arctic and Antarctic

Machine Learning

Incorporating physics and domain knowledge to improve interpretability, explainability, reliability and generalization of Machine Learning Models (MLM) in the geosciences

Observations, Modeling, and Data Assimilation

Advances and Challenges for Subseasonal to Seasonal Predictions

Assessment of Hydroclimatic Variability and Change in CMIP6 Climate Models

Other Sessions of Interest

Atmospheric Sciences Fellows Session

Cloud-aerosol-radiation-climate interactions in the southeast Atlantic

Drivers of tropical Pacific decadal variability

Paleo and Climate

Drivers of tropical Pacific decadal variability

Using Paleoclimate and Observational Data to Constrain ENSO Dynamics