We will extend what we learned in the previous lesson to apply the same workflow to ensemble forecasts. You will also learn how to deal with lagged ensembles, and if time allows, multimodel ensembles. You will be introduced to the main ensemble verification function and functions for producing specific scores:
ens_verify()ens_spread_and_skill()ens_crps()ens_rank_histogram()ens_brier()ens_reliability()ens_roc()ens_value()