Damaging Downburst Prediction and Detection Algorithm (DDPDA)

Algorithm Components

Environmental Data

No environmental data are used in the algorithm at the moment, but at least some preliminary uses of these data are promised to the OSF this year.  Some methods of predicting the maximum gusts in a given environment are: Another method of predicting maximum gusts which incorporates both radar and environmental data is given by Stewart (1995), although the environmental data are used simply as a threshold to determine which gust predictions are valid.  We have promised the OSF to test this technique.

Roberts and Wilson (1989) suggest the following radar signatures which relate to the environment:
 
 

Evaporative Cooling
  • Radial convergence below cloud base (esp. when Z decreases significantly towards the ground
  • Radial convergence above cloud base, pariticularly when associated with a Z notch and/or a very dry environmental layer
Melting Cooling
  • Radial convergence just below the 0 degree C level
Precipitation Drag
  • Radial convergence within a descending reflectivity core > 50 dBZ
Vertical Pressure Gradients
  • Azimuthal radial velocity couplet indicative of rotation, especially when vorticity increases with decreasing height
 

Separating these signatures in the broad mid-altitude convergence field may prove to be problematic  given the vertical resolution of the radar beam.   However, they may be useful to determine which levels to examine the convergence field.

[Of course, none of this will help if there is a pre-existing stable layer than cannot be taken into account...]

[Try looking at convergence at the height of the theta-E minima]

[A higher core will likely have more melting and sublimation]

[There are conflicting theories on the effects of precipitation drag]

[WINDEX/DCAPE/etc may be useful as a filter to remove false alarms]



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