wradlib: An Open Source Library for Weather Radar Data Processing¶
|Date:||March 10, 2016|
The wradlib project has been initiated in order facilitate the use of weather radar data as well as to provide a common platform for research on new algorithms. wradlib is an open source library which is well documented and easy to use. It is written in the free programming language Python.
Please cite wradlib as Heistermann, M., Jacobi, S., and Pfaff, T.: Technical Note: An open source library for processing weather radar data (wradlib), Hydrol. Earth Syst. Sci., 17, 863-871, doi:10.5194/hess-17-863-2013, 2013
Weather radar data is potentially useful in meteorology, hydrology and risk management. Its ability to provide information on precipitation with high spatio-temporal resolution over large areas makes it an invaluable tool for short term weather forecasting or flash flood forecasting.
wradlib is designed to assist you in the most important steps of processing weather radar data. These may include: reading common data formats, georeferencing, converting reflectivity to rainfall intensity, identifying and correcting typical error sources (such as clutter or attenuation) and visualising the data.
This documentation is under steady development. It provides a complete library reference as well as a set of tutorials which will get you started in working with wradlib.
- Getting Started
- Library Reference
- Raw Data I/O
- Data Transformation
- Z-R Conversions
- Data Quality
- Clutter Identification
- Dual-Pol and Differential Phase
- Filling Missing Values
- Vertical Profile of Reflectivity (VPR)
- Attenuation Correction
- Gage adjustment
- Zonal Statistics
- Utility functions
- For Developers
- Release Notes