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Surveillance Weather Radar 2000 AD

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Easy to achieve sampling rate higher than reciprocal of pulse (oversampling) ... Signal processing on general purpose computers (PCs) ... – PowerPoint PPT presentation

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Title: Surveillance Weather Radar 2000 AD


1
Surveillance Weather Radar 2000 AD
2
Weather Radar Technology- Merits in
Chronological Order
3
Technology Developments
  • Digital receivers
  • Easy to achieve sampling rate higher than
    reciprocal of pulse (oversampling)
  • Versatile circuits for transmitter control
  • Easy to phase code, to interleave PRTs (staggered
    and other), to compress pulse
  • Signal processing on general purpose computers
    (PCs)
  • Easy to program algorithms and analyze Doppler
    spectra

4
Capability of the NSSLs RD weather surveillance
radar
  • Doppler and Dual Polarization
  • Phase coding of transmitted pulses
  • Transmission of arbitrary non uniform pulse
    sequence including staggered PRT
  • Oversampling
  • by a factor of 5 in Dual Polarization Mode
  • By a factor of 10 in Single Polarization Mode
  • Arbitrary scanning strategy (including RHI)
  • Recording of time series data

5
Oversampling
  • To increase speed of volume coverage
  • To decrease errors in estimates of reflectivity,
    velocity, spectrum width, and polarimetric
    variables

6
Z, Standard Processing, Aug 04
7
Z, from Decorrelated Samples
8
Mitigation of range velocity ambiguities
  • Phase coding at lower elevations
  • Staggered PRT at higher elevations
  • Demonstration of clutter filtering for both
    schemes
  • Integration into volume coverage patterns
  • Inclusion of oversampling
  • Adaptive automatic choice of PRTs based on
    obscurations in immediately preceding scans

9
Phase Coding
10/08/02 1511 GMT
EL 0.5 deg
ReflectivityLong PRT
10
Phase Coding
11
Staggered PRT
04/06/03 442 GMT
EL 2.5 deg
ReflectivityStaggered PRT
12
Staggered PRT
04/06/03 442 GMT
KTLX Doppler VelocityVCP 11 Batch Mode
KOUN Doppler Velocity Staggered PRT (184 km/276
km)
EL 2.5 deg
13
Dual Polarization at NSSL
  • 1983 Upgrade of Cimarron radar to dual
    polarization switching between horizontal and
    vertical polarization
  • 1984 Collection of first (anywhere) dual
    polarization time series data
  • 1985 to 1989 Definition of the complete set of
    polarimetric variables. Development of schemes to
    obtain these variables together with spectral
    moments
  • 1992 First (anywhere) collection of polarimetric
    variables at all range locations
  • 1992 to present Development of schemes to
    classify hydrometeor type. Improvement of
    rainfall estimation. Design of a system
    functionally compatible with the WSR-88D
    simultaneous transmission and reception of
    horizontally and vertically polarized waves
  • 2002 Upgrade of KOUN radar to dual polarization
  • 2002-2003 Joint POLarization Experiment (JPOLE)

14
Fields of polarimetric variables
15
Dual Polarization - Benefits
  • Vastly superior data quality calibration,
    mitigation of attenuation and beam blockage
    effects
  • Discrimination between insects, birds, ground
    echoes, and precipitation
  • Superior measurement of rainfall
  • Detection of hail
  • Classification of precipitation rain vs
    freezing rain vs snow
  • Determination of hail size
  • Measurement of snowfall
  • Icing detection

16
Stratiform Rain vs Snow
17
Imminent Goals
  • Combining techniques to mitigate range and
    velocity ambiguities with optimum (pseudo
    whitening) procedure to increase speed of volume
    coverage and decrease errors of estimates
  • Incorporating the above combined technique into
    dual polarization radar
  • Developing adaptive scanning strategy for agile
    beam phased array radar

18
Three Challenges
  • Direct estimation of wind transverse to the radar
    beam
  • Determination of the alias interval of Doppler
    velocity from a single pulse
  • Estimation of the forward propagation coefficient
    using returns from hydrometeors or biological
    scatterers

19
Major Endeavor
  • Explaining bulk hydrometeor properties that cause
    distinct polarimetric signatures in convective
    storms

20
Major Endeavor
  • Assimilation of radar data into local NWP (short
    term 3 h, fine resolution 1 km) model
  • coupled to distributed hydrological model for use
    over small watersheds ( 1000s km2)
  • capable of predicting tornadoes, strong winds,
    hail, and other hazards

21
END
  • These are the news from the Prairie Town of
    Norman
  • Were all meteorologists are No 1
  • And Engineers are second to none
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