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Acquisition and Use of NEXRAD Acquisition and Use of NEXRAD
and FAA Doppler Weather and FAA Doppler Weather Radar DataRadar Data
Presented to the Monroney Aeronautical CenterPresented to the Monroney Aeronautical Center
9 November 2000 9 November 2000
Kelvin K. DroegemeierKelvin K. DroegemeierCenter for Analysis and Prediction of Storms Center for Analysis and Prediction of Storms
andandSchool of MeteorologySchool of MeteorologyUniversity of OklahomaUniversity of Oklahoma
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NEXRAD Doppler Radar NetworkNEXRAD Doppler Radar Network
NEXRAD Facts and FiguresNEXRAD Facts and Figures
158 radars (141 in the Continental US)158 radars (141 in the Continental US)– 120 National Weather Service radars120 National Weather Service radars– 26 Department of Defense radars26 Department of Defense radars– 12 Federal Aviation Administration radars12 Federal Aviation Administration radars
NEXRAD Data TypesNEXRAD Data Types
Archive Level I (raw receiver data)Archive Level I (raw receiver data) Level II data (digital data in spherical coordinates at full resolution)Level II data (digital data in spherical coordinates at full resolution) Archive Level III (digital products)Archive Level III (digital products) Archive Level IV (forecaster-generated products)Archive Level IV (forecaster-generated products)
NEXRAD Data TypesNEXRAD Data Types
Archive Level I (raw receiver data)Archive Level I (raw receiver data) Level II data (digital data in spherical coordinates at full resolution)Level II data (digital data in spherical coordinates at full resolution) Archive Level III (digital products)Archive Level III (digital products) Archive Level IV (forecaster-generated products)Archive Level IV (forecaster-generated products)
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NEXRAD Product Data NEXRAD Product Data (NIDS)(NIDS)
24 products available from all CONUS 24 products available from all CONUS radars in real timeradars in real time
Lowest 4 elevation angles onlyLowest 4 elevation angles only Low-precision because values are Low-precision because values are
quantized (e.g., 0-5, 5-10, 10-15)quantized (e.g., 0-5, 5-10, 10-15)
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NEXRAD Data TypesNEXRAD Data Types
Archive Level I (raw receiver data)Archive Level I (raw receiver data) Level II data (digital data in spherical coordinates at full resolution)Level II data (digital data in spherical coordinates at full resolution) Archive Level III (digital products)Archive Level III (digital products) Archive Level IV (forecaster-generated products)Archive Level IV (forecaster-generated products)
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NEXRAD Base (Level II) NEXRAD Base (Level II) DataData
Full resolution digital dataFull resolution digital data– Full data precisionFull data precision– All elevation anglesAll elevation angles
Not available in real time except Not available in real time except for selected sites (more on that for selected sites (more on that later)later)
This data set is the focus of our This data set is the focus of our effortsefforts
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Base Data Usage: NSSL Warning Base Data Usage: NSSL Warning Decision Support System on 3 May Decision Support System on 3 May
19991999
Courtesy National Severe Storms Laboratory
Trimmed Detections and Ground Truth Damage Paths
Hits (142)
Misses (25)
FAs (21) Courtesy D. Zittel
The Value of NEXRAD Radar The Value of NEXRAD Radar Data for Numerical Storm Data for Numerical Storm
Prediction: Prediction: The 3 May 1999 OklahomaThe 3 May 1999 Oklahoma
Tornado OutbreakTornado Outbreak
Copyright 1999 The Daily Oklahoman
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NEXRAD Radar Observations
CAPS Numerical Forecasts of the May 3 Tornadic CAPS Numerical Forecasts of the May 3 Tornadic StormsStorms
5:00 pm - Model Initialization Time
ARPS Prediction Model(0 hour forecast)
Storm Beyond VelocityRange of NEXRAD
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NEXRAD Radar Observations
5:30 pm - 30 min Forecast
ARPS Prediction Model(1/2 hour forecast)
Model Generatesthe Storm Itself
CAPS Numerical Forecasts of the May 3 Tornadic CAPS Numerical Forecasts of the May 3 Tornadic StormsStorms
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NEXRAD Radar Observations
6:00 pm - 1 hour Forecast
ARPS Prediction Model(1 hour forecast)
CAPS Numerical Forecasts of the May 3 Tornadic CAPS Numerical Forecasts of the May 3 Tornadic StormsStorms
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NEXRAD Radar Observations
6:30 pm - 1.5 hour Forecast
ARPS Prediction Model(1 1/2 hour forecast)
CAPS Numerical Forecasts of the May 3 Tornadic CAPS Numerical Forecasts of the May 3 Tornadic StormsStorms
Strong MesocyclonePresent Tornado on the
Ground
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NEXRAD Radar Observations
7:00 pm - 2 hour Forecast
ARPS Prediction Model(2 hour forecast)
CAPS Numerical Forecasts of the May 3 Tornadic CAPS Numerical Forecasts of the May 3 Tornadic StormsStorms
NEXRAD Radar Observations
Forecasts Forecasts With and WithoutWith and Without NEXRAD NEXRAD DataData
Moore, OKTornadic
Storm
2-Hour CAPS Computer Forecast Down to the Scale of Counties
WITHWITHOUT
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Summary: WSR-88D Radar DataSummary: WSR-88D Radar Data The scientific and operational communities need The scientific and operational communities need
base data (real time and archived)base data (real time and archived) Although NIDS data are available in real time from Although NIDS data are available in real time from
allall WSR-88D radars, they are insufficient for many WSR-88D radars, they are insufficient for many applications (NWP, hydrology)applications (NWP, hydrology)– Degradation of precisionDegradation of precision– Only the lowest 4 tilts are transmittedOnly the lowest 4 tilts are transmitted
Base data currently are Base data currently are notnot available in real time available in real time– Originally would have been expensive Originally would have been expensive – Presumed large volume of data (10 mbytes/5 min/radar)Presumed large volume of data (10 mbytes/5 min/radar)– Need wasn’t there 10 years agoNeed wasn’t there 10 years ago
The technology and need now exist to prototype the The technology and need now exist to prototype the direct acquisition, use, and archival of base data in direct acquisition, use, and archival of base data in real timereal time
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The Collaborative Radar The Collaborative Radar Acquisition Field Test Acquisition Field Test
(CRAFT)(CRAFT) Establish a prototype real time WSR-88D base Establish a prototype real time WSR-88D base
data acquisition test bed todata acquisition test bed to– Evaluate strategies for Evaluate strategies for compressing and transmittingcompressing and transmitting
base data in real timebase data in real time– Develop efficient and cost-effective strategies for Develop efficient and cost-effective strategies for
direct digital ingest, archive, and retrievaldirect digital ingest, archive, and retrieval at NCDC at NCDC– Assess the value of base data in Assess the value of base data in numerical weather numerical weather
predictionprediction– Test web-based Test web-based data miningdata mining techniques for rapid techniques for rapid
perusal/access of base data by the scientific perusal/access of base data by the scientific communitycommunity
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Technical StrategyTechnical Strategy
Repeater Hub
RIDDS Linux PC
Unidata LDM ($1500)
Server
Dedicated 56K line
($2000 - $6000/year)Cisco 1600
Series Router($2000)
WSR-88D
At the radar site
Users
Internet
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Original CRAFT NetworkOriginal CRAFT Network
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CRAFT Phase I: Proof-of-CRAFT Phase I: Proof-of-ConceptConcept
Abilene NetworkAbilene NetworkJanuary 1999 January 1999
Cleve
land
New York
Atlanta
Indianapolis
Kansas City
Houston
Denver
Los Angeles
Sacramento
Seattle
Abilene Router Node
Abilene Access Node
Operational January 1999
Planned 1999
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New Concept: Abilene/Internet2 + New Concept: Abilene/Internet2 + NEXRADNEXRAD
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New Concept: Abilene/Internet2 + New Concept: Abilene/Internet2 + NEXRADNEXRAD
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New Concept: Abilene/Internet2 + New Concept: Abilene/Internet2 + NEXRADNEXRAD
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NCEP
NCDC
OU
NCAR/FSL
U-WA
New Concept: Abilene/Internet2 + New Concept: Abilene/Internet2 + NEXRADNEXRAD
AWC
TPC
Radars Now Delivering DataRadars Now Delivering Data
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Links to be Established by This Time Next Links to be Established by This Time Next YearYear
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Using the Data for AviationUsing the Data for Aviation
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Weather Hazard Detection: FAA Weather Hazard Detection: FAA Earmark Funding to CAPSEarmark Funding to CAPS
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Some ExamplesSome Examples
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GOES Visible, 2245 Z4 June 1998
KFWS Composite Reflectivity00 Z, 4 June 1998
Sample Aviation ProductsSample Aviation Products
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Cloud Type and LWCat FL 050
Cloud Type and LWCat FL 320
Cloud Type and LWCN/S X-Section
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Downburst Potential Surface Isotachs &Streamlines
CAPE & Helicity
Sample Aviation ProductsSample Aviation Products
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Surface Visibility Clear-Air Turbulence Icing Potential
Sample Aviation ProductsSample Aviation Products
Weather Hazard Detection: FAA Weather Hazard Detection: FAA Earmark Funding to CAPSEarmark Funding to CAPS
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Weather Hazard Detection: FAA Weather Hazard Detection: FAA Earmark Funding to CAPSEarmark Funding to CAPS
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Statistical Climatologies of Storm Statistical Climatologies of Storm Characteristics (location, intensity, Characteristics (location, intensity,
movement, initiation, decay) relative to movement, initiation, decay) relative to NAS assetsNAS assets
Pugh (2000)
Mitchell et al. (2000)
Mitchell et al. (2000)
The Future: FAA RadarsThe Future: FAA Radars The CRAFT concept can be extended The CRAFT concept can be extended
to include FAA radars that process to include FAA radars that process weather informationweather information– TDWR (terminal Doppler weather radar)TDWR (terminal Doppler weather radar)– ASR (airport surveillance radar)ASR (airport surveillance radar)– ARSR (air route surveillance radar)ARSR (air route surveillance radar)
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TDWRTDWR
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Weber (2000)
Airport Surveillance Radars Airport Surveillance Radars (ASR-9)(ASR-9)
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Weber (2000)
Airport Surveillance Radars Airport Surveillance Radars (ASR-9)(ASR-9)
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Weber (2000)
Airport Surveillance Radars Airport Surveillance Radars (ASR-11)(ASR-11)
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Weber (2000)
Air Route Surveillance Radars Air Route Surveillance Radars (ARSR-4)(ARSR-4)
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Weber (2000)
An integrated, national data set of highly An integrated, national data set of highly detailed weather radar information for use indetailed weather radar information for use in– Numerical weather predictionNumerical weather prediction– Real time air traffic control and planningReal time air traffic control and planning– Research of specific relevance to aviationResearch of specific relevance to aviation
The radar data can be used to create The radar data can be used to create “assimilated” data sets that provide all “assimilated” data sets that provide all meteorological variables at high resolutionmeteorological variables at high resolution
We’re positioning Norman to serve as a We’re positioning Norman to serve as a national data repository for real time accessnational data repository for real time access
The ResultThe Result
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– NOAA ESDIM Grant funded (CAPS+NSSL+OSF+NCDC)NOAA ESDIM Grant funded (CAPS+NSSL+OSF+NCDC) $540K/3 years$540K/3 years Research ThrustsResearch Thrusts
– Test of direct ingest/archival at NCDCTest of direct ingest/archival at NCDC– Improve compression algorithmsImprove compression algorithms– Initial work on web-based data miningInitial work on web-based data mining
– NOAA earmark funding to OUNOAA earmark funding to OU $474K for 1 year$474K for 1 year Expand CRAFT to 30 radars (CRAFT-2)Expand CRAFT to 30 radars (CRAFT-2) Develop data assimilation capabilities for the WRF modelDevelop data assimilation capabilities for the WRF model Kelvin doing a mini-sabbatical at the NSSL this fallKelvin doing a mini-sabbatical at the NSSL this fall
– HPCC Proposal ($150K for 1 year, about to be funded)HPCC Proposal ($150K for 1 year, about to be funded) Data miningData mining Network quality of service researchNetwork quality of service research Hardware for additional radarsHardware for additional radars
Funding StatusFunding Status
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– FAA earmark funding to OUFAA earmark funding to OU $250K for 1 year$250K for 1 year Assimilate data from multiple radarsAssimilate data from multiple radars Provide real-time aviation hazard productsProvide real-time aviation hazard products A collaboration with the SPC and AWCA collaboration with the SPC and AWC Hope to involve NCAR (say via the National Hope to involve NCAR (say via the National
Convective Forecast Product)Convective Forecast Product) Fits into the CCFP?Fits into the CCFP?
Funding StatusFunding Status
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The Oklahoma meteorological community is ideally The Oklahoma meteorological community is ideally poised to take the lead in bringing the FAA radars poised to take the lead in bringing the FAA radars into Project CRAFTinto Project CRAFT
Will involve collaboration with others (MIT/LL, Will involve collaboration with others (MIT/LL, NCAR)NCAR)
The need has been recognized (Weber, 2000)The need has been recognized (Weber, 2000) A proof-of-concept test is needed (cost will be A proof-of-concept test is needed (cost will be
minimal)minimal) Could begin with OKC TDWR and extend to other Could begin with OKC TDWR and extend to other
systems (one ASR-9, one ASR-11, one ARSR-4)systems (one ASR-9, one ASR-11, one ARSR-4) The FAA earmark grant could be used to add a The FAA earmark grant could be used to add a
TDWR to the CRAFT data in the real time TDWR to the CRAFT data in the real time assimilated data setsassimilated data sets
Develop a white paper and establish collaborationsDevelop a white paper and establish collaborations
The Next StepsThe Next Steps
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