unravel 1.4.1

A dealiasing technique for Doppler radar velocity.

UNRAVEL

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.

Features

• 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.

Requirements

To use UNRAVEL, install the following dependencies:

pip install h5py numba numpy xarray pyodim dask pyart

Installation

UNRAVEL is available on PyPI. The easiest method for installing UNRAVEL is to use pip:

pip install unravel

Dependencies

References

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"
}