Warning
New Xarray-based Package for IMD Radar Data "Radarx"
- Looking for a more modern, flexible, and efficient way to work with IMD radar data?
- Check out our new package: Radarx at https://radarx.readthedocs.io
It’s an xarray-based toolkit built on top of xradar that supports reading, visualizing, and analyzing IMD radar files with ease.
💬 Join the discussion and stay connected with the radar community at openradar.discourse.group
Creates Py-ART compatible cf-radial data from individual sweeps of Indian Meteorological Department (IMD) Radar data
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.
https://github.com/syedhamidali/pyscancf_examples
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, https://github.com/syedhamidali/PyScanCf.git.
How to install::
conda create -n pcf arm_pyart nbclassic 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
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.
Import Library::
import pyscancf as pcf
Mention the data path::
inp = '/Users/rizvi/Downloads/goa16'
Convert data to cfradial format::
pcf.cfrad(inp,inp,True,'REF')
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
