PyScanCf Example 1#

  • author: @syedhamidali

  • date: Sep 8, 2023

import pyscancf as pcf
import pyart
import glob

print(pcf.__version__)

Setup the paths for the input and output data, !ls $inp shows the raw IMD data files, this is how the B-type (short range - high resolution) IMD DWR data looks like.

inp = "/Users/syed44/Downloads/Git_Stuff/imd_temp_radar/B/"
out = "/Users/syed44/Downloads/Git_Stuff/imd_temp_radar/out/"
!ls $inp

help(pcf.cfrad)

Let’s see what we have got into pcf.cfrad() function.

  • It aggregates data to cfradial1 data. It takes inputs such as input_dir, output_dir, scan_type, dualpol, gridder, plot, and nf.

  • input_dir specifies the path of single sweep data directory, while output_dir specifies the path for output data.

  • scan_type takes two options: B for short-range PPI, and C for long-range PPI.

  • The dualpol parameter is set to True if the data contains dual-polarization products like ZDR and RHOHV.

  • gridder is a boolean parameter, which is set to True if the user wants to create a gridded output.

  • The plot argument is used to generate a cappi plot. It can be set to REF, VELH, WIDTH, or ALL. The names are not case-sensitive and will be taken care of by the plot_cappi() function. For example, if the data has a reflectivity field named DBZ, you can still write REF or reflectivity, and same is for other radar moments.

  • Lastly, nf is an integer parameter that specifies the number of files to group together, it is usually 10 for type B, and 2 or 3 for type C data.

pcf.cfrad(input_dir=inp, output_dir=out, scan_type="B", gridder=True)

!ls $out

files = glob.glob(out + "grid*")

for file in files:
    grid = pyart.io.read_grid(file)
    pcf.plot_cappi(
        grid,
        "REF",
        cmap="SyedSpectral",  # optional
        crosshair=False,  # optional
        savedir=None,  # optional
        show_figure=True,  # optional
        vmin=-10,
        vmax=60,
    )

for file in files:
    grid = pyart.io.read_grid(file)
    pcf.plot_cappi(
        grid,
        "REF",
        cmap="pyart_HomeyerRainbow",  # optional
        crosshair=False,  # optional
        savedir=out,  # optional
        show_figure=False,  # optional
    )

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