single_calibration_cmip6: Calibrate Hector to a single CMIP6 ESM.
In kdorheim/hectorcal.rcmip.cmip6:

Description Usage Arguments Value

View source: R/single_calibration.R

Calibrate Hector to a single CMIP6 ESM.

single_calibration_cmip6(cmip6_runs, esm_data, normalize, initial_param,
  cmip_range = NULL, param_penalty = NULL, maxit = 500,
  n_parallel = NULL, showMessages = FALSE,
  intermediateOutput = FALSE)

`cmip6_runs`	A vector of the cmip6 scenario names to use to create Hector cores
`esm_data`	A data frame of ESM data for a single model that contains the following columns, year, model, variable, experiment.
`normalize`	A list of center and the scale values to use to noramlize the Hector and ESM output data.
`initial_param`	A named vector of inital paramters to be optimized over.
`cmip_range`	Default set to NULL and the make_minim_function will only look at the error between esm_data and Hector data. But if cmip_range is set to a dataframe containing columns (variable, year, sig, lower, and upper) then the minimize function will also minimize the value returned by the -log of the mesa function.
`param_penalty`	Default is set to NULL but can be set to a function that will return a tibble of experiment / variable / value to penalize the mean squared error for "unreal" paramter values.
`maxit`	The max number of itterations for optim, default set to 500.
`n_parallel`	The max number of cores to parallize the runs over, unless sepcified will use the number of cores detected by `detectCores`.
`showMessages`	Default set to FALSE, will supress Hector error messages.
`intermediateOutput`	Default set to FALSE, but if set to TRUE will return the MSE for each variable / experiment / ensemble memeber instead over the over all MSE.