An uncertainty-aware U-Net using MC Dropout and Conformalized Quantile Regression estimates MOMO-Chem surface ozone bias, with UQ maps identifying hard-to-correct regions.
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Uncertainty Quantification for Surface Ozone Emulators using Deep Learning
An uncertainty-aware U-Net using MC Dropout and Conformalized Quantile Regression estimates MOMO-Chem surface ozone bias, with UQ maps identifying hard-to-correct regions.