Summary
Created a Jupyter notebook tutorial demonstrating UNRAVEL dealiasing workflows for both PyART and PyODIM formats, with visualization examples.
Contents
PyART Workflow (Example 1):
- Automated CPOL radar data download from NCI THREDDS
- Step-by-step dealiasing process
- Before/after PPI comparisons
- Vertical cross-section (RHI) visualizations
PyODIM Workflow (Example 2):
- Direct file reading
- Preprocessing workflow (supports dual-PRF correction pipeline)
- PPI plots with Cartesian projection
- Multi-sweep grid displays
Advanced Features:
- Quality assessment using flag fields
- Strategy comparison (default vs long_range)
- Statistics and performance metrics
- Production-ready plotting functions
Location
examples/unravel_tutorial.ipynb
Related
Complements unit test improvements and addresses user documentation needs.
Summary
Created a Jupyter notebook tutorial demonstrating UNRAVEL dealiasing workflows for both PyART and PyODIM formats, with visualization examples.
Contents
PyART Workflow (Example 1):
PyODIM Workflow (Example 2):
Advanced Features:
Location
examples/unravel_tutorial.ipynbRelated
Complements unit test improvements and addresses user documentation needs.