radar observations during name 2004 eop timothy lang steve rutledge steve nesbitt rob cifelli lee...
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Radar Observations During NAME 2004 EOP
Timothy LangSteve RutledgeSteve NesbittRob CifelliLee NelsonDave LerachGustavo Pereira
Dave AhijevychRit Carbone
Photo courtesy of Brenda Dolan
CSU
NCAR
NAME Radar Network
Planned●S-Pol●4 SMN Radars●SMN radars run in full-volume 360s●15-min resolution
Actual●S-Pol (7/8-8/21)●Cabo (7/15-Fall)●Guasave (6/10-Fall)●SMN radars single low-level sweep (high temporal resolution)
SMN Upgrade IssuesGuasaveUpgrade completed 6/10PRF increased 7/29 – Best Doppler data afterwardSoftware problems prevented full-volume 360sData recording outage 7/22-29
Los CabosUpgrade completed 7/15PRF increased 7/20 – Best Doppler data afterwardMechanical problems prevented full-volume 360sNo solar gain calibrations
ObregonTransmitter power supply failed
PalmitoLightning strike and fuel/shippingdelays
●Highest priority radars upgraded (Guasave & Cabo)
●Can use low-level sweeps to map rainfall and characterize horizontal structure of storms
S-Pol Operations24-h Ops started 7/8, continued through 8/21
Occasional downtime for Ka-band work in preparation for RICO – Usually mid-morning precipitation minimum
Two Modes of Scanning:
“Climatology”Used most frequently200-km rangeFull-volume 360s, completed in 15-minIncludes rain-mapping angles (0.8,1.3,1.8-deg) & 0.0-deg
“Storm Microphysics”70-80 hours total spread over ~35 casesUsually 150-km range2-3 sector PPI volumes with 0-1 sets of RHIs in 15 minIncludes 360s @ rain-mapping angles (0.8,1.3,1.8-deg)
Radar Data Quality Control
S-Pol RadarMostly automatedThreshold away non-meteorological echo (clutter, insects, etc.)Filter differential phase (PHI
DP) and calculate K
DP
Blockage & attenuation correction
Currently working to improve the KDP
algorithm
SMN RadarsApply calibration – Intercomparison with S-Pol & TRMMCan threshold away most non-meteorological echoSome hand-editing needed for insects and leftover clutterRainfall & attenuation correction based on Z-R – Tune using S-Pol
S-Pol Blockage
Mean PowerClear-Air0.8 degElevation
Little to No Blocakgeabove 2 deg Elevation
MinorBlock
Major Blocks
Much of Low-Elevation Sweeps over Land Blocked at S-PolBut We Can Recover Using Phase!
MountainClutter
Ocean
Regional Composites
Example – 0200 UTC on 8/6/04
Cabo
Guasave
S-Pol
“Near-surface” reflectivity and rainfall every 15 minutes – 0.01, 0.02, & 0.05-deg grids
Use low-level sweep – For S-Pol, use higher sweeps to fill in gaps caused by clutter and complete blocks
S-Pol uses polarimetric rainfall estimates; SMNs will use Z-R based on polarimetric tuning – Constrain with gauges
Will create smaller grid containing vertical information from S-Pol (0.5-km vert res);Grid will include hydrometeor ID
Priority is EOP coverage by S-Pol (7/9-8/21)
05 Aug '04 Case Study
Mesoscale Convective System DevelopedOver SMO and Propagated to the NW
(“Proof of Concept” for Regional Composites)
GOES IR 2230 UTC (5 Aug) GOES IR 0324 UTC (6 Aug)
Altair Sounding Time-Height
05 Aug '04 Case Study
During IOP #7 (MCS & poss. Gulf Surge) - No Gulf SurgeInverted Trough Passed Thru Region Late on 8/05
UTC Midnight,8/6
2130 UTC 2230 UTC
Regional Composites of Reflectivity
2330 UTC 0030 UTC
Regional Composites of Reflectivity
0130 UTC 0230 UTC
Regional Composites of Reflectivity
ZH
RHOHV
ZDR
PHIDPPower LDR
KDPLargeHailAloft(D > 2 cm)
Attenuation
Melting hailcausing largephase shifts
Melt Level
05 Aug '04 2123 UTC
Large HailHigh ZNeg ZdrLow RHOHigh LDR
Very IntenseConvection!
Regional Composites of Rainfall
Rain Rate @ 2330 UTC6-h Total
(2100-0300 UTC) Blocks
Hydrological Applications
Choix
Presidio
Piaxtla
Tamazula
Badiraguato
Best Radar-Covered Hydrological Basins
Basin-Averaged RainfallFor 6-h Event(2100-0300 UTC, 5-6 Aug)
Choix 0.1 mmBadiraguato 14.8 mmTamazula 5.1 mm Piaxtla 3.8 mmPresidio 0.4 mm
Future Work – Climatological Statistics
Diurnal cycle of precipitationPrincipal physical processes controlling diurnal cycleSpatial variabilityConvective echo fractionVertical structure of convection
Effects of easterly waves and Gulf surges on precipitation
Relative importance of MCS rainfall, stratiform rainfall, etc.
Intercomparison with NERNEvaluate radar estimates of rainfall Evaluate gauge-based estimates of diurnal cycleMerged radar-gauge rainfall product
Future Work – Microphysical Case Studies
7/20-21 MCS(Vertically Intense)
During IOP #3(Monsoon ridge breakdown)
7/29 Sea breeze (Shallower)
During IOP #4(Monoon break & sea breeze)
Future Work -Intercomparison with Profilers
S-Pol Images
Collaboration with NOAA
Future Work – Radar/Lightning AnalysesMeridional Propagation: Standard Anomalies 3-5 day BP Filtered
Zonal Propagation: Standard Anomalies (Flash Count – Mean)/
Collaboration w/ Walt Petersen ofU of Alabamaand w/ Vaisala
CG FlashHovmollersfrom theLong-RangeNLDN
Providing Products to the Community
Estimate delivery starting this summer – Study of subset for J. Clim
NetCDF for regional and S-Pol-centric grids – various resolutions
Will tailor to specific community needsModel initialization & verificationMicrophysical parameterization verificationVerification of satellite rainfall estimates
For More Informationhttp://radarmet.atmos.colostate.edu/name