Title: Science and Technology Infusion Plan
1- Science and Technology Infusion Plan
- for
- Severe Weather
Daniel Meléndez
NWS ST Committee September 17, 2002
2Outline
- Team Composition
- Vision / Benefits
- Goals / Targets
- Key Information Gaps
- Key Solutions
- Outstanding R D Needs
- Summary
3Severe WeatherTeam Composition
- Daniel Meléndez (NWS/OST)
- Richard Okulski (NWS/OS)
- John Weaver (NESDIS)
- Don Burgess (OAR/NSSL)
- Robert Saffle (OST)
- Steve Weiss (SPC)
- Ron Przybylinski (WFO/STL)
- Dan Smith (SRH)
- Liz Quoetone (WDTB)
- John Ferree (WDTB)
- David Sharp (WFO/MLB)
- Terry Schuur (OAR/NSSL)
- Brian Motta (NWS/OCWWS)
- Bard Zajac (U. No. Co.)
4Severe WeatherVision / Benefits
- 2025 Vision
- Tornado Warning Lead Times Beyond Tornadic
Lifetimes (? 30 min) at 1-km resolution
- Save Lives
- Increased Lead Times Enables Necessary Actions to
Minimize Impact of Severe Local Storms - Millions in Savings to Transportation Similar
Industries
5Severe WeatherGoals/Targets to FY 12
6Severe Weather Goals/Targets to FY 12
7Severe WeatherKey Information Gaps
- Higher Resolution and Density Storm-Scale Data
- Improved Specification and Forecasting of
Pre-Storm Environment - Improved Specification and Forecasting of
Boundaries - Improved Understanding and Specification of
Severe Weather Signatures - Improved Verification
8Severe Weather Key ST Solutions
9Severe Weather Key ST Solutions
10Severe Weather Key ST SolutionsCurrent
Programmatic Phase
MDCRS Water Vapor/EDR
SCAN
Dual Pol
ORPG/Finer and FasterVCPs/ORDA/TDWR
Deployment
Observations
OTE
Satellite Remote Sensing
WRF
Ensembles
DTE
DA/Models
RD
Enabling Process
Severe Weather RD
Training PDT
WES
Training
11Severe WeatherOutstanding RD Needs
- Improved Understanding of Tornado Formation
- Improved Understanding of Severe Weather
Meteorology - Objective Verification
- Improved Cloud-Scale Models
- Improved Situational Awareness Tools and Training
- Improved Understanding of Total Lightning Data in
Severe Weather Forecasting - Improved Understanding of Radar Polarimetry in
Severe Weather Forecasting - Improved Understanding of Predictability Limits
- Improved Understanding of Socioeconomic Impact
12Severe Weather Summary
Vision
- Tornado Warning Lead Times Beyond Tornadic
Lifetimes - (? 30 min) at 1-km resolution
- RD Needs
- Tornadogenesis
- RD on severe weather
- Objective verification
- Cloud-scale models
- Situational awareness tools and training
- RD on total lightning data and radar polarimetry
data - Predictability Limits
- Improved Understanding on Socioeconomic Impact
- Implement WRF
- Deploy Advanced Ensemble Techniques
- Dual Polarization
- New Satellite Remote Sensing
- Enhanced Training
Increasing Performance
- WSR88D Radar Upgrades
- TDWR integration
- WES/Training
- MDCRS
RD
2007
2012
2002
2020
13Severe WeatherSummary
- Severe weather warning and detection FY07
improvements will be driven by observational
(radar) increases in resolution and coverage - Need continued training and severe weather
research as part of threshold progress - Improved verification is critical to overall
progress - FAR is a consequence of verification accuracy so
emphasis should be on detection - Synoptic forecasting models on track
14Severe Weather
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16Severe WeatherWhy FAR May Be at High Risk?
- WSR-88D Lesson New technologies temporarily
raise POD at the expense of FAR - Long-term FAR reduction trails POD increase
17(No Transcript)
18U95
Trend
Actual
L95
Descriptive Statistics Constant
-131.1915 Coefficient 0.0708 Rsqr 0.053
T-value for slope 0.53 2-tailed t-test 95 CI
w/ 5 degrees of freedom 2.57
19U95
Trend
Actual
L95
Descriptive Statistics Constant
10.0956 Coefficient -0.0047 Rsqr 0.127
T-value for slope -0.85 2-tailed t-test 95
CI w/ 5 degrees of freedom 2.57
20U95
Trend
Actual
L95
Descriptive Statistics Constant
-31.8362 Coefficient .0163 Rsqr 0.623
T-value for slope 2.87 2-tailed t-test 95 CI
w/ 5 degrees of freedom 2.57
21(No Transcript)
22Vision 2025 Storm Scale Modeling
23Severe WeatherPrimary Customers/Partners
24Severe WeatherKey Products/Services
25Severe WeatherS T Roadmap