quick_run: Simple evaluation of contour-shifting
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions

Description Usage Arguments Details Value References Examples

Reads in netCDF files of observations and predictions, performs bias correction, and exports a new netCDF file with bias-corrected predictions

1 2	quick_run(obs_NCDF, pred_NCDF, pred_years, start_year, month, output_file, level, dat_type_obs = "bootstrap", n_train_years = NULL)

`obs_NCDF`	filepath for observed data array (see details for info about array structure)
`pred_NCDF`	filepath for predicted data array (see details for info about array structure)
`pred_years`	vectors of years for which to make prediction
`start_year`	first year to use when learning model
`month`	month of prediction
`output_file`	filepath for where bias-corrected netCDF file should be stored
`level`	concentration level for which to build contour
`dat_type_obs`	string of either "bootstrap" or "simple" indicating the file type of the observation (see details for info about array structure)
`n_train_years`	number of prior years used in training bias correction

The predicted data array, pred_NCDF, should be a netCDF file with a single array of dimension: years x longitude (304) x latitude (448). The variable should be named ice_ind. The values in the array should indicate whether each grid box is categorized to contain ice (1: ice-covered, 0: no ice, NA: land). The observed data array, obs_NCDF, should be a netCDF file with a single array of dimension: years x longitude (304) x latitude (448). The observed data array, obs_NCDF, can be formatted the same as pred_NCDF if dat_type_obs = "simple". Alternatively, if dat_type_obs = "bootstrap" the array values can be ice concentration values obtained from the National Aeronautics and Space Administration (NASA) satellites Nimbus-7 SMMR and DMSP SSM/I-SSMIS and processed by the bootstrap algorithm. Data should be retained in the same format as given by bootstrap (including indicators for missing data, land etc.). The variable should be named "conc".

netCDF file of dimension years by longitude (304) by latitude (448) with indicators for where ice is predicted after bias correction. (1: ice-covered, 0: not ice, NA: land). Grid boxes will be categorized as ice if their centers are ice covered (within R the bias-corrected contours are not restricted to align to a grid).

Comiso, J., 2017: Bootstrap sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. version 3. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center

## Not run: 
quick_run(obs_NCDF = "/obs.nc", pred_NCDF = "/pred.nc",
         pred_years = c(2001:2013), start_year = 1980, month = 2,
         output_file = "/outputFile.nc", level = 15, dat_type_obs = "simple")

## End(Not run)