Understanding the Ocean's Response in a Future Climate - A Robust Blueprint for Trustworthy AI for Climate Analysis

Explore a comprehensive webinar on applying artificial intelligence to climate analysis, focusing on understanding the ocean's response to future climate change. Delve into the development of trustworthy and transparent AI methods rooted in physical understanding for enhanced interpretability and explainability of predictive skill. Learn about the Tracking Global Heating with Ocean Regimes (THOR) method, which reveals 3D ocean current structures from surface fields in climate models. Discover how a multilayer perceptron is trained and its skill explained using layerwise relevance propagation and oceanographic theory. Examine the ocean dynamical response tied to global overturning in various climate simulations under different future forcing scenarios. Gain insights into the mechanisms associated with the observed weakening of ocean circulation. Reflect on the importance of developing and applying interpretable and explainable AI for delivering trustworthy insights in support of climate decision-making and beyond.

Introduction
Speaker Introduction
Topic Introduction
Background
Surface Currents
Machine Learning
Outline
Clusters
Circulation fingerprints
Inference method
CMIP
North Atlantic
Comparing models
Transparent and trustworthy AI
Interpretation and explainability
Additive feature attribution
Input features
Bayesian framework
Barriers
Summary
Thank you
Questions
Boundary Conditions
Conclusion