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.<br>"COMPLEX_NEE.csv": metrics for NEE predictions"COMPLEX_LAI.csv": metrics for LAI predictions<br><b>Column A</b> ("model_site_EDCstate_experiment") = run identifier<i>Experiment 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.</i>- 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 assimilated<br><b>Column B</b> ("dimensionality") = model effective complexity<b>Column C</b> ("hist_int_calibration") = histogram intersection in the calibration period<b>Column D</b> ("hist_int_forecast") = histogram intersection in the forecast period<b>Column E</b> ("n_parameters") = number of model parameters