Global ETD Search

Assessing the Limits of Improving Subseasonal Predictability Indices

Buchmann, Paul2024

gmu

AI-informed model analogs for subseasonal-to-seasonal prediction

Landsberg, Jacob B., author, Barnes, Elizabeth, advisor, Schumacher, Russ, committee member, Ham, Jay, committee memberColorado State University. Libraries2025

… varied prediction tasks: 1) classification of Week 3-4 Southern California summer temperatures; 2) regional regression of Month 1 midwestern U.S. summer temperatures; and 3) classification of Month 1-2 North Atlantic wintertime upper atmospheric winds. The AI-informed analogs outperform …

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