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So far, precipitation is not explicitly included into the training process. For instance, the ERA5 dataset used so far does not involve precipitation.
However, precipitation in ERA5 also has systematic issues (e.g. overestimation of weak precipitation events -> 'convective drizzle' and underestimation of strong precipitation events), so the first step will target to include the observation-based IMERG dataset for training (https://gpm.nasa.gov/data/imerg). In addition to data loading, this will likely also require modifications to the normalization procedure since log-transformation is a standard approach to tackle the highly right-skewed PDF of precipitation data.
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