Fig 6. Ensemble predictive skill depending on ensemble size (case study DREAMiS).

This curve was computed by bootstrapping multiple $n_{ℳ}$ models from the available 100 models, i.e. we sampled multiple realizations of the individual predictions for the same ensemble size and computed the average value. These curves converge asymptotically and show that the chosen ensemble size parameter is adequate. Equivalent predictions could have been obtained with smaller ensemble sizes.