NEE and LAI prediction metrics for DALEC model suite (COMPLEX experiment)

These csv files contain performance metrics corresponding to the DALEC model runs performed in the COMPLEX experiment."COMPLEX_NEE.csv": metrics for NEE predictions"COMPLEX_LAI.csv": metrics for LAI predictionsColumn A ("model_site_EDCstate_experiment") = run identifierExperiment identifiers are defined as follows. Each experiment identifier contains a numeric value (error scalar) and a letter (data types assimilated), e.g. 'exp1a' corresponds to runs with only NEE assimilated at 50% of its assumed observational error.- exp1: 50% error scalar- exp2: 100% error scalar- exp3: 150% error scalar- exp4: 200% error scalar- expa: NEE only assimilated- expb: NEE, LAI assimilated- expc: NEE, LAI, biomass assimilated- expd: LAI only assimilated- expe: LAI, biomass assimilated- expf: no observations assimilatedColumn B ("dimensionality") = model effective complexityColumn C ("hist_int_calibration") = histogram intersection in the calibration periodColumn D ("hist_int_forecast") = histogram intersection in the forecast periodColumn E ("n_parameters") = number of model parameters