pycwr (Python China Weather Radar tools libaray)

• README in Chinese
• Developers and contributors

Project development plan

• WSR98D, CINRAD/SA/SB/CB, CINRAD/CC/CCJ, CINRAD/SC/CD support
• Cfradial Read support
• Write to Cfradial support
• Automatically identify radar and obtain latitude and longitude information (SA/SB/CB)
• Automatic recognition of radar data format types
• transform to Pyart Radar object
• Graphical interface support
• Radar vertical profile support
• Interpolation algorithm support
• PPI drawing support, overlay map support
• RHI drawing support
• Multi-radar inversion algorithm support
• Radar product algorithm support
• Doppler Radar/Dual polarization radar quality control algorithm
• DSD Algorithm Support for Dual Polarization Radar
• Doppler radar wind field retrieve support
• Radar quantitative precipitation estimation algorithm support
• Radar extrapolation algorithm support
• Radar quantitative precipitation forecast algorithm support

Install pycwr Library

The easiest route to installing pycwr is through pip and conda:

if you haven't install cartopy, For all platforms installing cartopy can be done with:

conda install -c conda-forge cartopy

and you can install pycwr with pip:

pip install pycwr

Also, you can install from source code:

git clone https://github.com/YvZheng/pycwr.git
cd pycwr
python setup.py install    

Read Radar Basedata to PRD (Polarimetry Radar Data) class or Py-ART Radar class

from pycwr.io.auto_io import radar_io 
file = r"./Z_RADR_I_Z9898_20190828192401_O_DOR_SAD_CAP_FMT.bin.bz2"
data = radar_io(file)
PRD = data.ToPRD(withlatlon=True)
print(PRD.scan_info)
print(PRD.fields)
PyartRadar = data.ToPyartRadar()

The data structure of the PRD is as follows:

Plotting Radar Data with map

from pycwr.draw.SingleRadarPlotMap import RadarGraphMap
graph = RadarGraphMap(PRD)
graph.plot(0, "dBZ")
plt.show()

As illustrated in the picture below:

Launch Graphical interface to show Radar Data

 python scripts/LaunchGUI.py

The main window opens as shown below:

more example via: exmaple

Developers and Contributors

Yu Zheng - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Nan Li - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Wei Ming - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Zhigang Chu - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Sihui Fan - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Pengcheng Jia - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Yang Li - Nanjing University of Information Science and Technology, School of Atmospheric Physics

Xin Zhang - Nanjing University of Information Science and Technology, School of Atmospheric Physics