Exploring a Data‐Driven Approach to Identify Regions of Change Associated With Future Climate Scenarios

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 4
• Main Authors: Labe, Zachary M., Delworth, Thomas L., Johnson, Nathaniel C., Cooke, William F.
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2024
• Subjects: climate change; climate mitigation; climate variability; large ensembles; machine learning; radiative forcing

A key consideration for evaluating climate projections is uncertainty in future radiative forcing scenarios. Although it is straightforward to monitor greenhouse gas concentrations and compare observations with specified climate scenarios, it remains less obvious how to detect and attribute regional...