A CNN surrogate with temporal coarse-graining accelerates 10-day advection simulations up to 92x while achieving r² of 0.60-0.98 against the baseline solver.
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2026 2representative citing papers
PnP-Corrector decouples pre-trained physics engines from a correction agent to mitigate reciprocal error amplification in coupled spatiotemporal forecasting, cutting error by 28% on a 300-day ocean-atmosphere task.
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Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining
A CNN surrogate with temporal coarse-graining accelerates 10-day advection simulations up to 92x while achieving r² of 0.60-0.98 against the baseline solver.
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PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
PnP-Corrector decouples pre-trained physics engines from a correction agent to mitigate reciprocal error amplification in coupled spatiotemporal forecasting, cutting error by 28% on a 300-day ocean-atmosphere task.