Science and Technology Infusion Science and Technology Infusion Plan Plan for for Fire Weather Services Fire Weather Services Paula Davidson Paula Davidson NWS S&T Committee NWS S&T Committee September 17, 2002 September 17, 2002 Rev 11/14/02 Rev 11/14/02
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Science and Technology Infusion Plan for Fire Weather Services Paula Davidson Science and Technology Infusion Plan for Fire Weather Services Paula Davidson.
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Science and Technology Infusion PlanScience and Technology Infusion Plan
forfor
Fire Weather ServicesFire Weather Services
Paula DavidsonPaula Davidson
Science and Technology Infusion PlanScience and Technology Infusion Plan
• Paula Davidson (NWS/OST)Paula Davidson (NWS/OST)
• John McGinley (OAR)John McGinley (OAR)
• (NESDIS)(NESDIS)
Fire Weather ServicesFire Weather ServicesVision / BenefitsVision / Benefits
Vision Eliminate weather-related wildland fire Eliminate weather-related wildland fire death/injurydeath/injury Reduce fire management costs and health Reduce fire management costs and health impacts, with more timely and accurate impacts, with more timely and accurate forecastsforecasts
Vision Eliminate weather-related wildland fire Eliminate weather-related wildland fire death/injurydeath/injury Reduce fire management costs and health Reduce fire management costs and health impacts, with more timely and accurate impacts, with more timely and accurate forecastsforecasts
Increasing lead times for Red Flag / critical fire weather helps firefighting and emergency response
• Tactical efficiency improvements: Each 1% reduction in average time of Type-I deployments saves ~ $10 M
• Strategic efficiency improvements: Reducing escaped fires by 1 each year saves ~ $12.5 M
Fire Weather ServicesFire Weather ServicesGoals/Targets to FY 12Goals/Targets to FY 12
• Insufficient coordination and Insufficient coordination and dissemination from obs to models dissemination from obs to models to forecast productsto forecast products
• Need to convey forecast Need to convey forecast uncertaintyuncertainty
“BISCUIT” FIRE
Fire Weather ServicesFire Weather Services Key S&T SolutionsKey S&T Solutions
GapGap SolutionSolution ImpactImpactDensity of Density of observations– observations– especially remote especially remote areasareas
Time and space Time and space resolution for fire resolution for fire weather and weather and smoke forecastssmoke forecasts
• Expand availability of Expand availability of remote and incident-remote and incident-specific obsspecific obs
• Assimilate available surface Assimilate available surface obs (e.g. Fire Raws); obs (e.g. Fire Raws); incident-specific incident-specific observationsobservations
Coordination and Coordination and dissemination of dissemination of information: from obs information: from obs to models to forecast to models to forecast productsproducts
Fire Weather ServicesFire Weather ServicesOutstanding R&D NeedsOutstanding R&D Needs
• Improve high-resolution prediction methods for complex terrainImprove high-resolution prediction methods for complex terrain
• Develop methods for verifying spot forecasts, given flexible, variable Develop methods for verifying spot forecasts, given flexible, variable observational dataobservational data
• Improve methods to ingest incident-specific observations into high-Improve methods to ingest incident-specific observations into high-resolution forecast models and guidanceresolution forecast models and guidance
• Improve understanding of convection as related to critical fire weatherImprove understanding of convection as related to critical fire weather
• Develop methods for forecasting, verifying dry thunderstormsDevelop methods for forecasting, verifying dry thunderstorms
• Improve methods to forecast smoke impactsImprove methods to forecast smoke impacts
• Develop probabilistic methods for fire weather forecastingDevelop probabilistic methods for fire weather forecasting
• Couple fire-behavior to fire weather modelsCouple fire-behavior to fire weather models
Fire Weather ServicesFire Weather Services SummarySummary
20072007 20122012
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2020202020022002
R&D NeedsR&D Needs
• Improve high-resolution Improve high-resolution prediction in complex terrainprediction in complex terrain
• Develop methods to verify spot Develop methods to verify spot forecasts forecasts
• Improve methods to ingest incident-Improve methods to ingest incident-specific observationsspecific observations
• Improve understanding of convection Improve understanding of convection in critical fire weatherin critical fire weather
• Improve methods to forecast dry Improve methods to forecast dry thunderstorms; smoke impactsthunderstorms; smoke impacts
• Develop probabilistic forecast Develop probabilistic forecast methods for fire weathermethods for fire weather
• Improve Model Resolution and Accuracy
• New and Improved Forecast Techniques
• Integrate Observations
• Improved coordination/ dissemination
• Probabilistic Techniques
• Coupled Hazards Models
• Ingest Targeted Obs.
Vision
Eliminate Weather-related Wildland Fire Death/Injury
Reduce Costs
Fire Weather ServicesFire Weather Services
BACK-UPBACK-UP
Printed 9/10/02 Updated 9/10/02S&T Advances to Support Fireweather Goals (GPRA and Other)
Chart Key R&D Needs DocumentYear = Projected Implementation YearColor = Current Aquistion Phase: Green = Deployment (DEP), Blue = Operational Development & Acquisition, Yellow = Demonstration Red = Research and Development, Hatching = Objective
2002 2003 2004 2005 2006 2007 2008 2010 2012
Observations
IngestCoop Mod-Temp/Precip Sensor 8000 Stations
Targeted ObsNEXRAD ORPG Higher res
ORDA Higher Res: .25 km Dual Pole
Lightning Total Lightning DetectionSatellite All-HAZARDS (ABBA) Detect
Forecast Techniques/Product GenerationDecision Aids Automated indicator search Product Generation
SAFE FIRE?? Local ApplicIFPS 3-D Parameters
Products Extended FireWx Outlook CONUSRFW Local ModelSpot Forecasts Local ModelFirewx forecasts WRF
Techniques Verification
Probabilistic Nat. outlook TechniquesPost-processing Gridded MOS
Dissemination
CONUSTraining
Adv on-site support IMET trning TechniquesProb Forecasting Techniques
Advanced Interactive on-site processing
National verification
Nuclear/Bio/Chemical
Automated verifc
Surface Obs: Remote area; mesonets
Hazards
High Res. WindowLocal-Scale
Data Assimilation/Numerical Prediction
RAWS
PERFORMANCE MEASURES: FIRE WEATHER SERVICES.
Proposed Current2001 Example Example
Red Flag Warning Lead Time 8.7 hr ** 14 hr 24 hrPOD 90% ** 91% 92%
Spot ForecastsT max/min NA 3.4 deg 2.9 degWinds (speed, direction) NA 3.6 kts, 34 deg 3.1 kts, 29 degRH max/min NA 13% 11%
Fire weather zone forecastsT max/min NA 3.1 deg 2.7 degWinds (speed, direction) NA 3.4 kts, 31 deg 2.8 kts, 27 degRH max/min NA 12% 11%
National daily fire weather outlookOut to day 2 5 10Critical fire weather: POD at day 1 NA 80% 85%
Notes:NA: not presently collected** WR only; national statistics not availableMAE: Mean Absolute Error
EXAMPLE: Relationship of fire wx element forecast accuracy to national forecast accuracyCurrent National MAE (zone forecasts): Model
Guidance (AVN MOS) Forecasts
Additional 30% error
T max, day 1 2.6 deg F 3.4 deg FWinds 24-hr 2.8kts, 26deg 3.6 kts, 34 degRH, day 1 11.10% 10% 13%Dewpoint, day 1 3.5 deg 4.6 deg
FY 12 Target
within 10% of national MAE
within 5% of national MAE
Examples for spot, fire weather forecast elements based on 2001 national MAE. (see below) Fire wx element accuracy targets tagged to reflect zone accuracy.
FY 07 Target
within 30% of national MAE
within 20% of national MAE
Proposed Performance Measure: Proposed Performance Measure: Red Flag WarningRed Flag Warning
RED FLAG WARNING Lead Time
0.00
5.00
10.00
15.00
20.00
25.00
99 00 01 02 03 04 05 06 07 08 09 10 11 12
Year
Lea
d T
ime
(Ho
urs
)Actual (WR) Lead Time Theshold Lead Time Objective Lead Time
Proposed Performance Measure: Proposed Performance Measure: Red Flag WarningRed Flag Warning