A recurrent U-net trained on 30 years of weather and emissions data predicts JJA daily MDA8 ozone across the US with r2=0.83, and its scenario analysis indicates that EPA NOx emission trends overestimate post-2010 reductions.
Geophys Res Lett 36:L09803
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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
A recurrent U-net trained on 30 years of weather and emissions data predicts JJA daily MDA8 ozone across the US with r2=0.83, and its scenario analysis indicates that EPA NOx emission trends overestimate post-2010 reductions.