Run each of the lake models
Usage
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
)Arguments
- 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"