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University of Minnesota
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Finally, a standardized benchmark to rigorously evaluate how well models generalize carbon flux predictions to geographically distinct ecosystems they've never seen before.
By integrating physical constraints with adaptive representation learning, TAM-RL substantially enhances the accuracy of global carbon flux estimates, outperforming existing methods.
