Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen - PowerPoint PPT Presentation

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Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen

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Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen Contents: Introduction to Doppler Radar Velocity Azimuth Display (VAD) – PowerPoint PPT presentation

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Title: Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen


1
Upper Air Wind Measurements by Weather Radar
Iwan Holleman, Henk Benschop, and Jitze vd Meulen
  • Contents
  • Introduction to Doppler Radar
  • Velocity Azimuth Display (VAD)
  • Volume Velocity Processing (VVP)
  • Implementation and quality control
  • Verification against radiosonde and Hirlam
  • Conclusions

2
KNMI Weather Radar
  • Only in presence of scatterers
  • Measures radial velocity as function of range,
    azimuth, and elevation
  • Unambiguous velocity is limited ? outliers due to
    dealiasing technique (dual-PRF)
  • Assumption wind speed observed velocity

3
Weather Radar Wind Profiles
  • Volume scan of radial velocity
  • Algorithm for analysis
  • Wind profile above radar site

4
Velocity Azimuth Display (VAD)
ff20.4 m/s dd217 deg
5
Doppler Radar Volume Scan
  • 10 Elevations between 0.5 and 25 degrees
  • Multiple VADs per height layer

Height layer
6
Retrieval Techniques
  • VAD1-2 Fourier expansion of radial velocity as a
    function of azimuth
  • Vrad(?) a0/2 b1?sin? a1?cos?
  • b2?sin2? a2?cos2? ...
  • VVP1-3 Use all available volume scan data for a
    given height layer at once
  • Assumption of linear wind model at radar site
  • U(x,y,z) u0 x ?u/?x y ?u/?y (z-z0) ?u/?z
  • V(x,y,z) v0 x ?v/?x y ?v/?y (z-z0) ?v/?z
  • W(x,y,z) w0 (z-z0) ?w/?z

7
Weather Radar Wind Profiles
  • 8 January 2005
  • Doppler Radar and Hirlam analyses

8
Implementation and Quality Control
  • Volume scan data are input to retrieval
    techniques
  • Application of minimum and maximum range
  • Removal of radial velocities close to zero
  • Binning of scan data in 8 azimuth sectors
    neighboring empty sectors are not allowed
  • Linear fit using Singular Value Decomposition
    (SVD)
  • VAD parameters per height layer are determined
    using weighted average
  • Removal of radial velocity outliers and re-run of
    wind model fit

9
Verification of Wind Profiles
  • Verification of Weather Radar Wind Profiles
    against radiosonde and Hirlam
  • 9 Months of volume scan data, radiosonde and
    Hirlam profiles
  • Comparison of different wind profile retrieval
    algorithms
  • Availability
  • Quality
  • Impact of quality control procedures

10
Availability of VVP profiles
40
std.dev. 2 m/s
28
19
11
VAD and VVP against radiosonde
12
VVP and radiosonde against Hirlam
13
Conclusions
  • Weather radar provides wind profiles
  • VVP algorithm performs better than VAD
  • Availability of wind profiles is reasonable
  • Weather radar winds are at least as good as
    radiosonde winds

More info I. Holleman, JAOT 2005, in press
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