The normalized weights are the actual α values used in the scaling of the standard deviation.

Example Custom Relative Weights: '8,4,2,1'. This means Multiple Data Assimilation Ensemble Smoother will half the weight applied to the Observation Errors from one iteration to the next across 4 iterations.