1. Welcome/Introduction¶
Homework / pre-course work
Post-lecture notebooks for each package
2. Overview Open Radar Community¶
Community Goals and structure
Key contributions and collaborative ecosystem
How participants engage with tools and workflows
3. Introduction to Radar Packages¶
Each package will be presented in ~2 slides:
Slide 1: Overview
Slide 2: Functional focus (inputs → workflow → outputs)
Xradar (IO layer)
PyArt
LRose
Baltrad
4. Workflow as a Notebook¶
Show how individual packages integrate into a complete workflow.
Output of this workflow will be used in the Sunday PySteps workshop.
4.1 Workflow Overview¶
4.2 Quality Control (QA / QC)¶
Noise filtering
Artifact removal
Consistency checks across scans
tbc
4.3 Corrections¶
Clutter correction
Calibration adjustments
Attenuation correction
tbc
4.4 QPE retrievals¶
Precipitation estimation methods
Integration with local rain gauge data
Bias correction strategies
tbc
4.5 Gridding¶
Conversion to Cartesian grids
Interpolation methods
Output formats for analysis and visualization
5. Afternoon: Individual Projects¶
Structure Options¶
Parallel breakout groups or
Sequential guided work session
5.1 Project Options¶
a. In Depth Review of 4.* Workflow¶
Algorithm analysis, modification, and extension
Incorporation of interoperable open-source tools
b. TITAN (LROSE)¶
Storm tracking and analysis workflows
Radar-to-dynamics applications
c. Echo Top Height Analysis (Bobby?)¶
Identification of storm structure
Vertical extent diagnostics
Derived product generation