index_calculator.postprocessing

class index_calculator.postprocessing(proc_obj=None, institution_id='N/A', institution='N/A', contact='N/A', split=True, **kwargs)

Class for post-processing index_calculator.processing object.

Parameters:

proc_obj (index_calculator.processing) – index_calculator.processing object
institution_id (str (default: “N/A”), optional) – Short name of the institution calculating the climate indicator.
institution (str (default: “N/A”), optional) – Long name of the institution calculating the climate indicator.
contact (str (default: “N/A”), optional) – Mail contact of the institution calculating the climate indicator.

Example

Calculate a climate indicator TG from netcdf file on disk and do some post-processing:

from pyhomogenize import open_xrdataset
from index_calculator import preprocessing
from index_calculator import processing
from index_calculator import postprocessing

netcdf_file = "tas_EUR-11_MPI-M-MPI-ESM-LR_historical_r3i1p1_"
              "GERICS-REMO2015_v1_day_20010101-20051231.nc"
ds = open_xrdataset(netcdf_file)

preproc = preprocessing(ds)
proc = processing(index="TG", preproc_obj=preproc)
postproc = postprocessing(
    project="CORDEX",
    proc_obj=proc,
    institution="Helmholtz-Zentrum hereon GmbH,"
                "Climate Service Center Germany",
    institution_id="GERICS",
    contact="gerics-cordex@hereon.de",
)

postproc_ds = postproc.postproc

__init__(proc_obj=None, institution_id='N/A', institution='N/A', contact='N/A', split=True, **kwargs)

Methods

__init__([proc_obj, institution_id, ...])