Clutter and Echo Classification

This section provides a collection of example code snippets to show clutter detection and correction as well as echo classification capabilities of \(\omega radlib\).

Examples List

• Clutter detection using Gabellaapproach
  • Read the data
  • Apply filter
  • Plot results
• Clutter detection by using space-born cloudimages
  • Read the radar data and count the number of tilts
  • Reconstruct the radar values
  • Construct the corresponding radar coordinates
  • Construct collocated satellite data
  • Estimate localisation errors
  • Identify clutter based on collocated cloudtype
  • Plot the results
• Heuristic clutterdetection
  • Load annual rainfall acummulation example (from DWD radar Feldberg)
  • Apply histo-cut filter to retrieve boolean array that highlights clutter as well as beam blockage
  • Plot results
• Fuzzy echoclassification
  • Setting the file paths
  • Read the data (radar moments and static clutter map)
  • Identify non-meteorological echoes using fuzzy echo classification
  • View classfication results
• 2D Membershipfunction HMC
  • Precipitation Types
  • Membership Functions
  • Use Sounding Data
  • Prepare Radar Data
  • HMC Workflow
  • Plot HMC Results