read_monthly_BS: Read in a set of bootstrap observations over a set of year
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions

Description Usage Arguments Details Value References Examples

Function to process monthly bootstrap data over multiple years. The observations are from the monthly sea ice concentration obtained from the National Aeronautics and Space Administration (NASA) satellites Nimbus-7 SMMR and DMSP SSM/I-SSMIS and processed by the bootstrap algorithm. The resultsare distributed by the National Snow and Ice Data Center (NSIDC) (Comiso 2017). Functions assume file name conventions are the same as used by NSIDC.

1 2	read_monthly_BS(start_year, end_year, file_folder, version, nX = 304, nY = 448)

`start_year`	first year to read in
`end_year`	last year to read in
`file_folder`	folder in which binary files are stored
`version`	either 2 or 3 indicating which version of the bootstrap data you are using
`nX`	longitude dimension
`nY`	latitude dimension

raw binary files for 2012-2013 are included in the package as an example

bootstrap observations sorted into array of dimension: year x month x lon x lat

Bootstrap sea ice concentration: 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: 
#my_file_path should be a file path where the 1983 binary files are stored
observed_demo <- read_monthly_BS(start_year = 1983, end_year = 1983,
                             file_folder = my_file_path)

## End(Not run)