arxiv
PublishedJune 18, 2026 at 4:00 AM
▲bullish
Optimal scenario design for climate emulation
Publisher summary· verbatim
arXiv:2606.19302v1 Announce Type: cross Abstract: 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 (emul
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Originally published on arxiv ↗