Mass-conserved hierarchical multi-resolution deep learning for long-term global atmospheric pollutant transport prediction
Long-term predictive capability of deep learning models has always been a bottleneck, as errors gradually accumulate along with autoregressive iterations, ultimately deviating significantly from the real data distribution. However, the long-term predictive capability of deep learning is crucial in practical application...