UNfold RAdar VELocity (UNRAVEL) is an open-source modular Doppler velocity dealiasing algorithm for weather radars. Designed for flexibility, UNRAVEL does not require external reference velocity data, making it highly adaptable across various contexts.
- Modular Design: Consists of eleven core modules and two dealiasing strategies for iterative processing.
- Adaptive Dealiasing: Starts with strict continuity tests in azimuth and range, then progressively relaxes parameters to include more reference points.
- 3D Continuity Checks: Modules for multi-dimensional dealiasing enhance accuracy.
- Expandable Framework: Allows for additional strategies to optimize results further.
To use UNRAVEL, install the following dependencies:
pip install h5py numba numpy xarray pyodim dask pyartUNRAVEL is available on PyPI. The easiest method for installing UNRAVEL is to use pip:
pip install unravel
If you use UNRAVEL in your research, please cite the following paper:
Louf, V., Protat, A., Jackson, R. C., Collis, S. M., & Helmus, J. (2020). UNRAVEL: A Robust Modular Velocity Dealiasing Technique For Doppler Radar. Journal of Atmospheric and Oceanic Technology, 4(1), 741–758. (10.1175/jtech-d-19-0020.1)[https://doi.org/10.1175/jtech-d-19-0020.1]
@article {Louf2020,
author = "Valentin Louf and Alain Protat and Robert C. Jackson and Scott M. Collis and Jonathan Helmus",
title = "UNRAVEL: A Robust Modular Velocity Dealiasing Technique for Doppler Radar",
journal = "Journal of Atmospheric and Oceanic Technology",
year = "2020",
publisher = "American Meteorological Society",
volume = "37",
number = "5",
doi = "10.1175/JTECH-D-19-0020.1",
pages= "741 - 758",
url = "https://journals.ametsoc.org/view/journals/atot/37/5/jtech-d-19-0020.1.xml"
}