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Extracting climate cycles from spatiotemporal data and detecting emergence and disappearance of coherent phenomena across multiple dynamic regimes
Presenter
- Gary Froyland
November 2, 2022
IMSI
Smashing Cities and Planets with Rare Event Sampling and AI
Presenter
- Dorian Abbot
November 1, 2022
IMSI
Physics to Machine learning and machine leaning back to physics
Presenter
- Pierre Gentine
November 1, 2022
IMSI
Using data-informed methods towards an improved understanding and representation of atmospheric gravity waves
Presenter
- Aditi Sheshadri
November 1, 2022
IMSI
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations
Presenter
- Nan Chen
October 31, 2022
IMSI
Explainable AI (XAI) for Climate Science: Detection, Prediction and Discovery
Presenter
- Elizabeth Barnes
October 31, 2022
IMSI
Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi sector resilience
Presenter
- Auroop Ganguly
October 31, 2022
IMSI
Using autoencoders as generative models to create forecast ensembles for data assimilation
Presenter
- Ian Grooms
October 31, 2022
IMSI
Accelerated Parametric Uncertainty Quantification and Optimal Data Acquisition in an Idealized Global Atmosphere Model
Presenter
- Oliver Dunbar
October 31, 2022
IMSI
Synoptic Attribution of Climate Extremes – Why It Matters
Presenter
- Simon Wang
October 21, 2022
IMSI
