The model error evaluation / outliers is a kind of model bias estimation ( see map ). The "Normalized Distance" is defined by the difference of AVE and ANL over the squar root of normalized ensemble spread. Therefore, the positive of distance means there are positive biases for ensemble forecasts, the negative means there are negative biases for ensemble forecasts.