Hydrometeorology and Polarimetric Radar How can Polarimetric radar aid in flash flood forecasting?...
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![Page 1: Hydrometeorology and Polarimetric Radar How can Polarimetric radar aid in flash flood forecasting? James J. Stagliano, Jr.1, James L. Alford 1, Dean Nelson.](https://reader030.fdocuments.in/reader030/viewer/2022032709/56649eb25503460f94bb9a36/html5/thumbnails/1.jpg)
Hydrometeorology and Hydrometeorology and Polarimetric Radar Polarimetric Radar
How can Polarimetric radar aid in How can Polarimetric radar aid in flash flood forecasting? flash flood forecasting?
James J. Stagliano, JrJames J. Stagliano, Jr.1,.1, James L. Alford James L. Alford11, , Dean NelsonDean Nelson11, J. William Conway, J. William Conway22, ,
Barbara GibsonBarbara Gibson33 and Don Hyde and Don Hyde33
11Enterprise Electronics CorporationEnterprise Electronics Corporation22Weather Decision TechnologiesWeather Decision Technologies
33Choctawhatchee, Pea and Yellow Rivers Watershed AuthorityChoctawhatchee, Pea and Yellow Rivers Watershed Authority
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![Page 3: Hydrometeorology and Polarimetric Radar How can Polarimetric radar aid in flash flood forecasting? James J. Stagliano, Jr.1, James L. Alford 1, Dean Nelson.](https://reader030.fdocuments.in/reader030/viewer/2022032709/56649eb25503460f94bb9a36/html5/thumbnails/3.jpg)
OutlineOutline
Failure of RadarFailure of Radar Promise of Polarimetric Weather RadarPromise of Polarimetric Weather Radar Choctawhatchee, Pea, Yellow Rivers Choctawhatchee, Pea, Yellow Rivers
WatershedWatershed EEC Polarimetric Weather RadarEEC Polarimetric Weather Radar ConclusionConclusion
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Failure of RadarFailure of Radar
Numerous meteorological and physical effects Numerous meteorological and physical effects limit accurate rainfall estimationlimit accurate rainfall estimation– Marshall – Palmer (Z-R) RelationshipMarshall – Palmer (Z-R) Relationship
Different DSD Different DSD Varies from event to event Varies from event to event Different DSD Different DSD Varies within precipitation event Varies within precipitation event Mie Resonance EffectsMie Resonance Effects
– Hail ContaminationHail Contamination– Beam BlockageBeam Blockage– AttenuationAttenuation– Nonuniform beam fillingNonuniform beam filling– Height Above GroundHeight Above Ground
Wind dispersionWind dispersion Precipitation Type (Melting Layer)Precipitation Type (Melting Layer)
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Failure of Radar to DeliverFailure of Radar to Deliver
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Radar – Precipitation EstimationRadar – Precipitation Estimation
Rainfall Estimates given by Marshall-Palmer Rainfall Estimates given by Marshall-Palmer RelationshipRelationship
– Dependent on sixth power of diameterDependent on sixth power of diameter
Drop SizeDrop Size QuantityQuantity ZZ Water VolumeWater Volume
1 mm1 mm 40964096 36 dBZ36 dBZ 17,160 mm17,160 mm33
4 mm4 mm 11 36 dBZ36 dBZ 270 mm270 mm33
A factor of 63 difference
baRz
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Radar – Drop Size DistributionRadar – Drop Size Distribution
Similar Reflectivity, Different Drop Size Distributions
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ScatteringScattering
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Precipitation ScatteringPrecipitation Scattering
Assumption is all scattering is RayleighAssumption is all scattering is Rayleigh– True for S bandTrue for S band– Not true for C and X band (Ryzhkov, 2005)Not true for C and X band (Ryzhkov, 2005)
C-band:
= 5.33 cm
Mie ~ 4.5 mm 53.0 2
a
X-band:
= 3.0 cm
Mie ~ 2.5 mm 53.0 2
a
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Polarimetric Weather RadarPolarimetric Weather Radar
Transmits microwave energy in both Transmits microwave energy in both horizontal and vertical polarizationshorizontal and vertical polarizations– Able to measure entire scattering matrixAble to measure entire scattering matrix– Much more information of scattering mediumMuch more information of scattering medium
Standard Base Moments: ZStandard Base Moments: ZHH, V, VHH, W, WHH
Polarimetric Base Moments : ZPolarimetric Base Moments : ZDRDR, , DPDP, , HVHV, L, LDRDR
– Estimate the average Drop Size DensityEstimate the average Drop Size Density– Identify average particle shape Identify average particle shape Hydrometeor Classification Hydrometeor Classification– Immunity from beam blockageImmunity from beam blockage– Variables change due to rainfall Variables change due to rainfall Much better rainfall Much better rainfall
estimationsestimations
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Conventional Weather RadarConventional Weather Radar
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Polarimetric RadarPolarimetric Radar
And Vertical Pulse
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Polarimetric Weather RadarPolarimetric Weather Radar
Enhanced SIDPOLTM (2 Patents Granted to EEC)
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Vertical cross-sections of radar variables and results of classification.
NCAR Spol radar. August 14, 1998. Florida
LR – light rain, MR – moderate rain, HR – heavy rain, LD – large drops, R/H – rain / hail mixture, GSH – graupel / small hail, HA – hail, DS – dry snow, WS – wet snow, IH – horizontally oriented crystals, IV – vertically oriented crystals
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Polarimetric Weather RadarPolarimetric Weather Radar
Raindrops are oblate spheroidsRaindrops are oblate spheroids
Horizontal Returns greater than vertical returnsHorizontal Returns greater than vertical returns Phase shift in horizontal is more than in vertical Phase shift in horizontal is more than in vertical
DPDP increases with range through rain increases with range through rain
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Polarimetric RainratePolarimetric Rainrate
(Doviak and Zrnic, 1993)
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Polarimetric RainRate (KPolarimetric RainRate (KDPDP))
12
12
22 rr
rr
r
rK DPDPDPDP
Specific Differential Propagation Phase
• Independent of receiver/transmitter calibration
• Independent of attenuation
• Less sensitive to variations of size distributions (compared to Z)
• Immune to particle beam blocking
• Unbiased if rain is mixed with spherical hail
• Noisy at low rainrates
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Radar RainRateRadar RainRatebb zaRaRz
bDPKaR
DRaZbDPKcR 1.010
DRaZbhZcR 1.010
Marshall - Palmer
KDP
Zh - ZDR
KDP - ZDR
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Polarimetric Radar vs. GaugePolarimetric Radar vs. Gauge
(Bringi and Chandrasekar, 2001)
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Polarimetric Weather RadarPolarimetric Weather RadarRainfall MeasurementsRainfall Measurements
“Traditional” R(Z) estimate Polarimetric R(KDP) estimatebzaR bDPKaR
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Polarimetric Radar and RainfallPolarimetric Radar and Rainfall
One hour point measurements: Radar estimates vs. gages
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Areal Mean Rain Rate BiasAreal Mean Rain Rate Bias
Hail
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Choctawhatchee, Pea, Yellow Rivers Choctawhatchee, Pea, Yellow Rivers WatershedWatershed
HistoryHistory 1990 – Watershed Authorities created throughout state1990 – Watershed Authorities created throughout state
– After devastating Elba Flash FloodsAfter devastating Elba Flash Floods– CPYRWA only active authorityCPYRWA only active authority
SE AL SE AL only region in the state with extensive data on its water only region in the state with extensive data on its water resources and needsresources and needs
– Initially just Choctawhatchee – Pea RiversInitially just Choctawhatchee – Pea Rivers– Started with 3 rain gaugesStarted with 3 rain gauges
1994 - COE Installed Network of Stage and Rain Gauges1994 - COE Installed Network of Stage and Rain Gauges 1997 – Yellow River Added1997 – Yellow River Added 1998 – Major Flood1998 – Major Flood 2005 – Conecuh River under consideration2005 – Conecuh River under consideration
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Choctawhatchee, Pea, Yellow Rivers Choctawhatchee, Pea, Yellow Rivers WatershedWatershed
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EEC C-Band Polarimetric RadarEEC C-Band Polarimetric Radar TransmitterTransmitter
– 1 MW 1 MW Split between channelsSplit between channels
– 500 kW per channel500 kW per channel
– Magnetron Magnetron Coherent on ReceiveCoherent on Receive
– PW 0.4, 0.8, 2.0 PW 0.4, 0.8, 2.0 ss– PRF 300 – 2000 HzPRF 300 – 2000 Hz
EDRP-9 Signal ProcessorEDRP-9 Signal ProcessorIntermediate Frequency 60.00 MHzDigitization rate 80 MHzLinear dynamic range >100 dBMinimum discernable signal <110 dBClutter suppression >50 dBRange resolution >45 metersPRF <250 Hz to >1300 HzPhase noise <-53 dBc integrated over the
Nyquist co-interval
Greatly Improved AccuracyGreatly Improved Accuracy
–Precipitation Estimates Improved Precipitation Estimates Improved Up to 40%Up to 40%
SidPolSidPolTMTM Radar is Now a True Radar is Now a True Hydrological InstrumentHydrological Instrument
–Better Clutter Identification and Better Clutter Identification and EliminationElimination
–True Precipitation ClassificationTrue Precipitation Classification
IceIce
SnowSnow
HailHail
Liquid RainLiquid Rain
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EEC EEC C-Band Polarimetric RadarC-Band Polarimetric Radar
2 Installed2 Installed– UK Met (250 kW)UK Met (250 kW)– EEC (1 MW)EEC (1 MW)
2 more installations this year2 more installations this year– Valpraiso University (Indiana, USA) (1 MW)Valpraiso University (Indiana, USA) (1 MW)– Austria (250 kW)Austria (250 kW)
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Hydrological Modelling - HDSSHydrological Modelling - HDSS
QPE-SUMSQPE-SUMS– Multiple sensor integration for quantitative Multiple sensor integration for quantitative
precipitation estimationprecipitation estimation– Accurate estimates of rainfallAccurate estimates of rainfall
Basin accumulation to forecast flood riskBasin accumulation to forecast flood risk
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Alabama ConsortiumAlabama Consortium Statewide ConsortiumStatewide Consortium
– UniversitiesUniversities University of South AlabamaUniversity of South Alabama University of Alabama - HuntsvilleUniversity of Alabama - Huntsville Auburn UniversityAuburn University University of Alabama - TuscaloosaUniversity of Alabama - Tuscaloosa
– Federal AgenciesFederal Agencies NASANASA
– State Agencies State Agencies Watershed Management AuthoritiesWatershed Management Authorities State EMAState EMA
– Local AgenciesLocal Agencies County EMA’sCounty EMA’s Local First RespondersLocal First Responders
– EECEEC
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Integration Research LaboratoryIntegration Research Laboratory Fully integrated and Fully integrated and
operational operational hydrometeorological hydrometeorological forecasting centerforecasting center
Located at EECLocated at EEC Operational testbed for new Operational testbed for new
technologytechnology Data freely shared with Data freely shared with
consortium partnersconsortium partners
– All data streams integratedAll data streams integrated SatelliteSatellite RadarRadar AWS sensorsAWS sensors NWPNWP
– Integration Integration SensorsSensors SoftwareSoftware CommunicationsCommunications TrainingTraining
– Evaluation Evaluation SensorsSensors SoftwareSoftware CommunicationsCommunications
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Future WorkFuture Work
TropicalTropical– ConvectiveConvective
Hail shaftsHail shafts Large DropsLarge Drops More attenuationMore attenuation
– HurricanesHurricanes
Run-off ModelingRun-off Modeling AL NetworkAL Network
– Hurricane DissipationHurricane Dissipation
ExtraTropicalExtraTropical– StratiformStratiform
BrightbandBrightband Smaller DropsSmaller Drops
– Snow / IceSnow / Ice
Run-off ModelingRun-off Modeling
South Alabama Valpariso, Indiana