CAMS-GLOB-ANT

This Python script is used to process CAMS-GLOB-ANT data using IPTpy. Users could use Jupyter Notebook to taste the code.

# import packages
import libraries
import xarray as xr
import numpy as np
from iptpy.anthro_emission.fv import FV

# initialize
fv_instance = FV(
  preregrid_path='/gws/nopw/j04/duicv/yuansun/dataset/CAMS/CAMS-GLOB-ANT_v5.3/',
  regridder_filename='/gws/nopw/j04/duicv/yuansun/IPTpy/tests/regridded/test_cams_0.1x0.1_0.9x1.25_regridder.nc',
    regridded_path='/gws/nopw/j04/duicv/yuansun/IPTpy/tests/regridded/',
    start_year=2018,
    end_year=2018,
    source='CAMS-GLOB-ANT',
    version='v5.3',
    original_resolution='0.1x0.1',
)

Step1: Regrid from 0.1°x0.1° to 0.9°x1.25°

fv_instance.generate_regridder()
fv_instance.apply_regridder()

• Once a regridder exists, it can be reused and does not need to be generated when running apply_regridder() multiple times.

Step2: Rename gridded data

fv_instance.rename(
  renamed_path ='/gws/nopw/j04/duicv/yuansun/IPTpy/tests/renamed/'
)

• Note that the regridder_filename and files in the preregrid_path or regridded_path or renamed_path will be automatically deleted before new files are generated, so manual deletion is not required.