run_ensemble | R Documentation |
Run each of the lake models
run_ensemble(
config_file,
model = c("GOTM", "GLM", "Simstrat", "FLake", "MyLake"),
folder = ".",
verbose = FALSE,
parallel = FALSE,
ncores = NULL,
return_list = FALSE,
create_output = TRUE,
add = FALSE
)
config_file |
filepath; to LakeEnsemblr yaml master config file |
model |
vector; model to export driving data. Options include c('GOTM', 'GLM', 'Simstrat', 'FLake', 'MyLake') |
folder |
filepath; to folder which contains the model folders generated by export_config() |
verbose |
Boolean; Should model output be shown in the console. Defaults to FALSE |
parallel |
Boolean; should the model calibration be parallelized |
ncores |
integer; number of cores to use for parallelization. Defaults to NULL. If NULL then the number of cores used is either the number of models selecte or the number of cores on the machine, whichever is smaller. |
return_list |
boolean; Return a list of dataframes of model output. Defaults to FALSE |
create_output |
boolean; Create ensemble output file otherwise it just runs the models and generates model output in their respective folders. Defaults to TRUE |
add |
boolean; Add results to an existing netcdf file with new dimension "member" |
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