This study examines the subset climate model ensemble size required to reproduce certain statistical characteristics from a full ensemble. The ensemble characteristics examined are the root mean square error, the ensemble mean and standard deviation. Subset ensembles are created using measures that consider the simulation performance alone or include a measure of simulation independence relative to other ensemble members. It is found that the independence measure is able to identify smaller subset ensembles that retain the desired full ensemble characteristics than either of the performance based measures. It is suggested that model independence be considered when choosing ensemble subsets or creating new ensembles.
REF calculated the mean absolute error, the root mean square error, the spatial correlation and the fractional skill score for individual events to create subset ensembles, considering simulation performance.
Optimally choosing small ensemble members to produce robust climate simulations
Environmental Research Letters
Economics