physics.ao-ph · 2026-06-18 · No. 27
Atmospheric and Oceanic Physics, 2026-06-18.
1 new papers in physics.ao-ph. Titles, authors,
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01 — The papers
1 entries-
01
Optimal scenario design for climate emulation
Christopher B. Womack, Shahine Bouabid, Andrei Sokolov, Popat Salunke, Glenn Flierl, Sebastian D. Eastham, Noelle E. Selin
physics.ao-ph · cs.LG
As deep learning for physical systems continues to grow in popularity, efforts to improve generalizability have primarily focused on designing architectures that embed physical constraints. However, for machine-learning surrogate climate models (emulators), we show that the low structural diversity in existing scenarios commonly used to generate training data places a ceiling on predictive skill. Here, we examine whether training datasets...
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