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IBM Research, Zurich, Switzerland
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Architectural choices, not model identity, drive performance differences in Geospatial Foundation Models, challenging conventional ranking methods.
Meter-scale weather, previously thought irreducibly chaotic, actually contains a statistically recoverable component, unlocking a new frontier for high-resolution weather modeling.