Creates cf-radial1 data from individual sweeps of IMD DWR data
Project description
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.
Latest Documentation
Installing from source
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 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
Documentation
Import Library::
from pyscancf 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
Detailed and efficient way to use this toolkit
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