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A Refresher on Super-Resolution Radar Data. Audra Hennecke , Dave Beusterien. Base Data Resolution: Legacy vs. Super-Res. Base Reflectivity : Legacy Range Resolution: 1, 2, 4 km (0.54, 1.1, 2.2 nm) Azimuthal Resolution: 1.0 degree Super-Res Range Resolution: 0.25 km (0.13 nm)

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a refresher on super resolution radar data

A Refresher on Super-Resolution Radar Data

Audra Hennecke, Dave Beusterien

base data resolution legacy vs super res
Base Data Resolution: Legacy vs. Super-Res
  • Base Reflectivity:
    • Legacy
      • Range Resolution: 1, 2, 4 km (0.54, 1.1, 2.2 nm)
      • Azimuthal Resolution: 1.0 degree
    • Super-Res
      • Range Resolution: 0.25 km (0.13 nm)
      • Azimuthal Resolution: 0.5 degree
  • Base Velocity:
    • Legacy
      • Range Resolution: 0.25, 0.50, 1km (0.13, 0.27, 0.54 nm)
      • Azimuthal Resolution: 1.0 degree
    • Super-Res
      • Range Resolution: 0.25 km (0.13 nm)
      • Azimuthal Resolution: 0.5 degree
display ranges
Display Ranges
  • Base Reflectivity
    • Legacy and Super-Res:
      • Both available to 248 nm
  • Base Velocity
    • Legacy:
      • Available to 124 nm
    • Super-Res:
      • Available to 162 nm
super res characteristics
Super-Res Characteristics
  • Available at lower elevation angles
  • Base data generated for only the Split Cut elevations of the VCPs
  • Retains the highest reflectivity value for display in courser resolutions; preserves important features
    • i.e. maximum reflectivity values in the cores of strong thunderstorms
slide5
8-bit 1 deg azimuth Reflectivity product

Maximum range = 248 nm

Super-Res Reflectivity product

Maximum range = 248 nm

Source: WDTB DLOC Topic 5

super res base data
Super-Res Base Data
  • Super-Res Base Data, compared to all the base reflectivity/velocity products:
    • Highest number of data levels (256)
    • Greatest range resolution (250 m, 0.13 nm)
    • Best azimuthal resolution (0.5 degree)
  • Base data signatures easier to discern when viewing these higher resolution base data products
super res base data1
Super-Res Base Data
  • Two signal processing techniques used to produce Super-Res base data
    • Overlapping radials and windowing
  • Windowing process introduces more error in the base data estimate
    • Results in SR base products being visually noisier than legacy resolution base products
    • However, it supports visual detection of smaller scale features at longer ranges
noisy super res base data
Noisy Super-Res Base Data
  • Most apparent with reflectivity (compared to legacy resolution)
    • 8 SR reflectivity bins for every 1 legacy resolution reflectivity bin
  • More apparent in areas of stratiform precipitation and low returned power
  • Not as apparent in convective areas when compared to stratiform precipitation
slide9
Example of Noisiness for Convective Rainfall

Legacy Base Reflectivity Product

SR Base Reflectivity Product

Source: WDTB DLOC Topic 3

slide10
Example of Noisiness for Stratiform Rainfall

Legacy Base Reflectivity Product

SR Base Reflectivity Product

Source: WDTB DLOC Topic 3

super res base velocity
Super-Res Base Velocity
  • Range: 162 nm
  • 256 data levels
  • Important velocity features will more readily appear and look clearer with Super-Res products
  • Super-Res velocity magnitudes associated with important signatures may need to be adjusted
    • May show stronger velocity values than those normally associated with many velocity signatures in the 1 degree data.
super res srm
Super-Res: SRM
  • 250 m (0.25 km, 0.13 nm) x 0.5 degree
  • Range: 162 nm
  • 256 data levels
  • Displays the highest resolution velocity data available from the radar out to 162 nm for the split cut elevation angles.
super res srm1
Super-Res: SRM
  • High detail (spatially and in data magnitude) provides improved detection of TVSs, mesocyclones, microbursts, and boundaries.
  • Very useful for examining the velocity structure of fast moving storms (> 10kts)
    • Significant advantage compared to base velocity products of the same resolution
super res storm scale features
Super-Res: Storm-Scale Features
  • Storm-scale features show up more often and more clearlyin Super-Res products.
    • BWERs, hook echoes, TBSSs, low-level boundaries, hail cores, mesocyclones, TVSs, inflow notches
super res mesocyclone identification
Super-Res: Mesocyclone Identification
  • Super-res velocity data: typically easier to identify small-scale features, i.e. mesocyclones
  • Velocity magnitudes associated with these features may appear stronger because of the finer resolution in the azimuthal direction
slide16
Source: WDTB DLOC Topic 5

Super-Res SRM

Legacy, 1 deg. Azimuth SRM

  • For Super-Res, the strongest velocities associated with the mesocyclone cover a smaller area.
  • Super-res image has a significantly stronger outbound component of the mesocyclone (+43 ktsvs+21 kts) .
  • Overall storm identification is enhanced.
super res tvss
Super-Res: TVSs
  • Super-Res velocity: available on the lowest 2-3 elevation angles
    • Exactly where you would want to look for TVSs
  • Gate-to-gate shear will often have a greater magnitude in Super-Res data than indicated in the TVS definition.
    • Additional research is needed to understand the relationship between super-res gate-to-gate shear magnitudes and tornadic events.
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