multifunction phased array radar: view from operations
DESCRIPTION
Jack Hayes NOAA Assistant Administrator for Weather Services, and National Weather Service Director Norman, OK, October 10-12, 2007. National Weather Service. Multifunction Phased Array Radar: View from Operations. The Improvement Chain. Balanced Science Technology Infusion. - PowerPoint PPT PresentationTRANSCRIPT
Jack Hayes NOAA Assistant Administrator for Weather Services, and
National Weather Service Director
Norman, OK, October 10-12, 2007
Jack Hayes NOAA Assistant Administrator for Weather Services, and
National Weather Service Director
Norman, OK, October 10-12, 2007
National Weather Service
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The Improvement ChainThe Improvement Chain
Predictions
DisseminationDissemination
ObservationsObservations
Data Assimilation
Data Assimilation
Action
Information TechnologyInformation TechnologyResearchResearch
ModelingModeling
Feedback Feedback
NOAA Research IntegrationNOAA Research Integration
Balanced Science Technology Infusion
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Radar is critical to NWS MissionRadar is critical to NWS Mission
• Radar will remain as an operational sensor in the foreseeable future given its proven value.– NEXRAD reduced tornado injuries and deaths by up to 40% and
45%, respectively [Simmons & Sutter, WF, 2005]
• Up to 47% of NWS text and digital products utilize radar data.
• Radar will remain as an operational sensor in the foreseeable future given its proven value.– NEXRAD reduced tornado injuries and deaths by up to 40% and
45%, respectively [Simmons & Sutter, WF, 2005]
• Up to 47% of NWS text and digital products utilize radar data.
A Typical Year Brings: A Typical Year Brings: – 7 Hurricanes7 Hurricanes– 1,000 Tornadoes1,000 Tornadoes– 5,000 Floods5,000 Floods– 10,000 Violent Thunderstorms10,000 Violent Thunderstorms– Drought ConditionsDrought Conditions– 500 Deaths; 5,000 Injuries; 500 Deaths; 5,000 Injuries;
$14 Billion in Losses$14 Billion in Losses
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Robust NWS Science and Technology Infusion History Robust NWS Science and Technology Infusion History
WSR-57WSR-57 WSR-88DWSR-88DWSR-74WSR-74WSR-3WSR-3
Ca. 1957 1958 1976 1992
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Toward Service Improvements May 19, 1960 / Tornado 19 Aug 2007Toward Service Improvements May 19, 1960 / Tornado 19 Aug 2007
PAR PAR
KTLX KTLXWSR-57WSR-57
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NWS is Performance DrivenNWS is Performance Driven
ModernizationModernization
0%
20%
40%
60%
80%
100%
Years
Per
cen
tag
es (
Y1)
0
5
10
15
20
Min
utes (Y
2)
Tornado Warnings - Accuracy (%)
Tornado Warnings - Accuracy Goals (%)
Tornado Warnings - False Alarm Rate (%)
Tornado Warnings - False Alarm Rate Goals (%)
*Storm-Based Tornado Warning Accuracy Goals (%)
*Storm-Based Tornado False Alarm Rate Goals (%)
Tornado Warnings - Lead Time (Min)
Tornado Warnings - Lead Time Goals (Min)
*Storm-Based Tornado Warning Lead Time Goals (Min)
Tornado Warnings
ModernizationModernization
0%
20%
40%
60%
80%
100%
Year
Perc
en
tag
es (
Y1)
0
10
20
30
40
50
60
Min
ute
s (Y
2)
Accuracy Actual (Y1)
Accuracy Goals (Y1)
Lead Time Actual (Y2)
Lead Time Goals (Y2)
Flash Flood Warnings
Tornado lead time jumps from about 6 min to about 10 min
after modernization
Flash flood lead time jumps from about 20 min to about 50
min after modernization
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Our Vision for the Future Our Vision for the Future
Neighborhood-scale warnings of:1.High-Impact Weather events including a 45 to 60 minute
tornado lead time
2. Increasing flash flood lead time from 1 to 3 hours
3. Increasing quantitative precipitation estimation accuracy by reducing bias four-fold
– All enabled by the integration of surveillance radar and sensors sampling the boundary layer driving regional integrated cloud-scale models and intelligent computing along with adaptive systems
-- Fewer deaths and injuries will result from longer lead times and improved accuracy
Neighborhood-scale warnings of:1.High-Impact Weather events including a 45 to 60 minute
tornado lead time
2. Increasing flash flood lead time from 1 to 3 hours
3. Increasing quantitative precipitation estimation accuracy by reducing bias four-fold
– All enabled by the integration of surveillance radar and sensors sampling the boundary layer driving regional integrated cloud-scale models and intelligent computing along with adaptive systems
-- Fewer deaths and injuries will result from longer lead times and improved accuracy
8
Time = 0 minutesTime = 0 minutes Storm-scale Model Forecast at 60 minStorm-scale Model Forecast at 60 min
The Future: What will R&D bring?The Future: What will R&D bring?
Probabilistic Tornado Warning
Current 60 Minute Forecast
MostLikelyTornadoPath
T+20min
T+50min
T+30minT+40min
70%
50%
30%
T+60min
Developing thunderstorm..
Projected low-level reflectivity at 1 hour from storm-scale NWP model
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The Challenge: Demonstrate Service significanceThe Challenge: Demonstrate Service significance
• Value of new technology to NOAA mission should be well demonstrated
• The business case must rest on value/benefit• Want compelling examples of how warnings and
services are improved
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BackupBackup
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The Future? What will the R+D bring?The Future? What will the R+D bring?
14
PAR VCP 12 BMX
60 sector
Images ~ 43 s
WSR-88D VCP 12 Images ~ 4.1 min
Toward Service Improvement:Tropical Storm Erin TVS near Norge, OK
PAR
KTLX
PAR
KTLX
19 August 2007
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Toward Service Improvements May 19, 1960 / May 29, 2004 TornadoToward Service Improvements May 19, 1960 / May 29, 2004 Tornado
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NOAA’s NWS in Your Neighborhood Doppler RadarsNOAA’s NWS in Your Neighborhood Doppler Radars
Informational Needs & RequirementsDerived from NOAA NWS Mission Needs
NEXRAD resolution
2025 Vision
Neighborhood-scale warnings of:(i) High Impact Weather events including a 45± minute tornado lead time;
(ii) Hurricanes & Inundation improvements in QPF increasing flash flood lead time from 1 to 3 hours;
(iii) Drought & WaterResource management four-fold improvement in QPE reducing in-rain bias from 4 mm to 1 mm
– All enabled by the integration of surveillance radar, short-wavlength radars and other sensors sampling the boundary layer, driving regional integrated cloud-scale models and intelligent along with adaptive systems.
Vision Pulls the Radar RoadmapVision Pulls the Radar Roadmap
Fiscal Year (CONCEPTUAL TIMELINE)
Enabling Technologies
Surveillance Radars
Adaptive DataIntegration
RadarPartnerships
Diverse, Short Wavelength
Gap-Filling Radars (SWR)
B1 B2
R&D
Acquisition /Deploy.
A4
MPAR
WSR-88D (NPI)
B4
A2,3A1
E1,2,3
Targets of Opportunity
D1 D2 D3
SWR
C1C2
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The Future? What will the R+D bring?The Future? What will the R+D bring?