PyScanCf: A Library for IMD Weather Radar Data#

Release: {{release}}
Date: {{today}}

Welcome to PyScanCf’s documentation!#

Go to syedhamidali/pyscancf_examples for latest examples and instructions

Warning

This library is under heavy development.

Contents

Join the chat at https://gitter.im/PyScanCf/Issues

What is PyScanCf?#

Creates Py-ART compatible cf-radial data from individual sweeps of Indian Meteorological Department (IMD) Radar data

Description#

PyScanCf is a library for creating cfradial (polar) data from IMD radars that contain all 10 sweeps from single scans which are named as (Polar_ABC.nc) as well as gridded radar data from which are named as (grid_ABC.nc). Both formats are compatible for PyART. It uses Pyart to create grid data, so please remember to cite Py-ART as well.

Installation#

Installing PyScanCf from source is the only way to get the latest updates and enhancement to the software that have not yet made it into a release. The latest source code for PyScanCf can be obtained from the GitHub repository, syedhamidali/PyScanCf.git.

How to install:

conda create -n pcf python=3.9 jupyter arm_pyart pandas wradlib git -c conda-forge
conda activate pcf
pip install git+https://github.com/syedhamidali/PyScanCf.git

Or, to install in your home directory, use:

git clone https://github.com/syedhamidali/PyScanCf.git
python setup.py install --user

Or, Install via pip:

pip install pyscancf

Citation#

Syed, H. A., Sayyed, I., Kalapureddy, M. C. R., & Grandhi, K. K. (2021). PyScanCf – The library for single sweep datasets of IMD weather radars. Zenodo. DOI:10.5281/zenodo.5574160.

PyScanCf Tutorial on Youtube#

https://youtu.be/OUrdhe5virA

Quick Usage#

Import Library:

import pyscancf as pcf
import pyart
import glob

Mention the data path:

inp = "../imd_temp_radar/B/"
out = "../imd_temp_radar/out/"

Convert data to cfradial, and gridded format:

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

output:

Number of files:  20
Total number of files will be created:  2
Merging all scans in one file
Data merging done
Total Time Elapsed:  0:00:35.931653

Plot Cappi:

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

And you’ll see the beautiful gridded data plot in your notebook, the figures will be saved in the directory from where you launched the notebook

MAX-CAPPI

Latest Examples#

Notebooks syedhamidali/pyscancf_examples