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Stop letting your climate models drift: a novel graph neural network architecture predicts geophysical system evolution across multiple time horizons with improved long-range accuracy and stability.
Synthesizing complete ice-layer data from sparse radar traces is now possible by conditioning on climate model outputs, enabling more accurate analysis of ice dynamics and snow accumulation.
