racmo_downscaled_cumulative.py

  • Calculates cumulative anomalies of downscaled RACMO surface mass balance products

Source code

General Methods

SMBcorr.racmo_downscaled_cumulative(base_dir, VERSION, PRODUCT, RANGE=[1961, 1990], GZIP=False, VERBOSE=False, MODE=509)[source]

Calculate RACMO cumulative anomalies with respect to a mean field

Parameters:
base_dir: str

Working data directory

VERSION: str

Downscaled RACMO Version

  • 1.0: RACMO2.3/XGRN11

  • 2.0: RACMO2.3p2/XGRN11

  • 3.0: RACMO2.3p2/FGRN055

PRODUCT: str

RACMO product to calculate

  • SMB: Surface Mass Balance

  • PRECIP: Precipitation

  • RUNOFF: Melt Water Runoff

  • SNOWMELT: Snowmelt

  • REFREEZE: Melt Water Refreeze

RANGE: list, default [1961,1990]

Start and end year of mean

GZIP: bool, default False

netCDF data files are compressed

VERBOSE: bool, default False

Verbose output of netCDF4 variables

MODE: oct, default 0o775

Permission mode of directories and files created

SMBcorr.racmo_downscaled_cumulative.get_dimensions(input_dir, VERSION, PRODUCT, GZIP=False)[source]

Get the total dimensions of the input data

Parameters:
input_dir: str

Working data directory

VERSION: str

Downscaled RACMO Version

VARIABLE: str

RACMO product to run

  • SMB: Surface Mass Balance

  • PRECIP: Precipitation

  • RUNOFF: Melt Water Runoff

  • SNOWMELT: Snowmelt

  • REFREEZE: Melt Water Refreeze

GZIP: bool, default False

netCDF data files are compressed

SMBcorr.racmo_downscaled_cumulative.yearly_file_cumulative(input_dir, VERSION, PRODUCT, MEAN, GZIP=False)[source]

Read individual yearly netcdf files and calculate cumulative anomalies

Parameters:
input_dir: str

Working data directory

VERSION: str

Downscaled RACMO Version

PRODUCT: str

RACMO product to run

  • SMB: Surface Mass Balance

  • PRECIP: Precipitation

  • RUNOFF: Melt Water Runoff

  • SNOWMELT: Snowmelt

  • REFREEZE: Melt Water Refreeze

MEAN: list

Start and end year for mean

GZIP: bool, default False

netCDF data files are compressed

SMBcorr.racmo_downscaled_cumulative.compressed_file_cumulative(input_dir, VERSION, PRODUCT, MEAN, GZIP=False)[source]

Read compressed netCDF4 files and calculate cumulative anomalies

Parameters:
input_dir: str

Working data directory

VERSION: str

Downscaled RACMO Version

PRODUCT: str

RACMO product to run

  • SMB: Surface Mass Balance

  • PRECIP: Precipitation

  • RUNOFF: Melt Water Runoff

  • SNOWMELT: Snowmelt

  • REFREEZE: Melt Water Refreeze

MEAN: list

Start and end year for mean

GZIP: bool, default False

netCDF data files are compressed

Calling Sequence

usage: racmo_downscaled_cumulative.py [-h] [--directory DIRECTORY]
                                      [--version {1.0,2.0,3.0,4.0}]
                                      [--product PRODUCT [PRODUCT ...]]
                                      [--mean START END] [--gzip] [--verbose]
                                      [--mode MODE]

Named Arguments

--directory, -D

Working data directory

--version, -v

Possible choices: 1.0, 2.0, 3.0, 4.0

Downscaled RACMO Version

--product, -p

Possible choices: SMB, PRECIP, RUNOFF, SNOWMELT, REFREEZE

RACMO product to calculate

--mean, -m

Start and end year range for mean

--gzip, -G

netCDF4 file is locally gzip compressed

--verbose, -V

Verbose output of run

--mode, -M

Permission mode of directories and files