Take an Ameriflux NetCDF file Fill missing met values using MDS approach using MPI-BGC REddyProc library Currently Future version: Choose which variables to gap fill Future version will first downscale and fill with NARR, then REddyProc

Usage

metgapfill(
  in.path,
  in.prefix,
  outfolder,
  start_date,
  end_date,
  lst = 0,
  overwrite = FALSE,
  verbose = FALSE,
  ...
)

Arguments

in.path: location on disk where inputs are stored
in.prefix: prefix of input and output files
outfolder: location on disk where outputs will be stored
start_date: the start date of the data to be downloaded (will only use the year part of the date)
end_date: the end date of the data to be downloaded (will only use the year part of the date)
lst: is timezone offset from UTC, if timezone is available in time:units attribute in file, it will use that, default is to assume UTC
overwrite: should existing files be overwritten
verbose: should the function be very verbose
...: further arguments, currently ignored

Author

Ankur Desai