User Guide

This user guide covers the full multi-Doppler wind retrieval workflow in PyDDA, from reading and quality-controlling raw radar data through to retrieving and visualizing the 3D wind field.

• Overview
  • Why multi-Doppler retrieval?
  • How PyDDA works
  • Workflow overview
• Reading in Radar Data in Native Radial Coordinates
  • Read in the Data
  • Plot the data
    • Plot reflectivity of Both Radars
    • Plot Velocity of Both Radars
  • Summary
• Radar Data Quality Control - Dealiasing
  • Read the Data
    • Plot Velocity of Both Radars
  • Determining Artifacts within Doppler Velocities
    • Velocity Texture Displays
    • Filter Doppler Velocity Artifacts
  • Apply Dealiasing
    • Display Corrected Velocity Fields
  • Summary
• Converting the radar data to Cartesian coordinates with Py-ART
  • Gridding the data
  • References
• Retrieving your first wind field
  • 3D variational technique
  • Doing your first wind retrieval
  • Using PyDDA’s data model
  • Using models for constraints
  • Set up your initialization
  • Retrieving your first wind field
  • Plotting the output winds
• Optimizing your wind retrieval
• Visualizing the wind retrieval
  • Horizontal cross-section (quiver)
    • Key parameters
• Nested wind retrievals
  • Building the nested grid tree