Notes
Slide Show
Outline
1
Using Short Range Ensemble Model Data in National Fire Weather Outlooks
2
Overview
    • SPC Fire Weather Program
    • Use of short range ensemble forecasts (SREF)
    • Case Studies
      • July 8, 2003
      • Recent Santa Ana event (October 25-31, 2003)
    • Conclusions
3
SPC Fire Weather Program
  • Fire weather forecasts began in 1998
  • Purpose is to provide national fire weather guidance to NWS, federal, state and local government agencies
  • Product will outlook areas where critical fire weather conditions combined with pre-existing fuel conditions forecast to occur


4
SPC Fire Weather Program
Types of Outlooks:
  • Critical Fire Weather Areas
  • Extremely Critical Fire Weather Areas
  • Dry Thunderstorm Areas
    • Issued for widespread dry lightning
5
Critical Fire Weather Area
  • Outlooks based on forecasts of Relative Humidity, maximum temperatures, sustained winds, and pre-existing fuels
    • RH criteria varies by geography
    • Temperatures must be greater than 60 F
    • Sustained surface winds (10 meter) must be greater than 20 mph
    • High Fire Danger Class Index, low 100/1000 hr fuel moisture, long term drought
6
 
7
Use of SREF output
  • What is an ensemble forecast??
    • Collection of different model solutions
    • By changing the initial conditions, different forecast solutions are created
  • SPC uses a 15 member ensemble from NCEP
    • Consists of Eta, Eta KF, RSM models
    • 48 km resolution
8
Use of SREF output
  • Ensemble forecasts first applied operationally in the 1990s
  • Studies have shown that ensembles are more skillful than using 1 single model (Wandishin et al, 2001, Bright and Mullen 2001)
  • SPC began using SREF operationally in 2002
9
Use of SREF output
  • At the SPC, nearly 300 SREF products are available:
    • Relative Humidity
    • Temperature
    • Wind
    • Fosberg Fire Weather Index
    • Haines Index
    • Convective precipitation
    • Combinations of the above
10
Use of SREF output
Statistical Fields
  • Mean and Spread
    • Shows the “average” of the ensemble
    • Will smooth small scale features
  • Probability
    • Indicate the percentage of ensemble members which meet certain criteria
  • Extreme values
    • Useful in predicting “worst case” events
11
"Fosberg Fire Weather Index Mean..."
  • Fosberg Fire Weather Index Mean and Standard Deviation Valid July 8 at 2100 UTC
12
 
13
 
14
Case Studies/Verification
  • SPC Fosberg Fire Weather Index is used to verify fire weather outlooks
  • Index is calculated with local objective analysis scheme
  • Fosberg FWI greater than 50 is a “threshold” value
15
Case Studies (July 8, 2003)
  • Forecast valid at 18 UTC on July 8
  • Minimum RH with Mean Surface Wind


16
 
17
 
18
Santa Ana Event October 2003
  • Statewide loss of 20 lives
  • 2600 houses with over 725,000 acres burned
  • Monetary loss figures for the disaster are estimated to be over two billion dollars
19
Satellite Loop
20
 
21
 
22
 
23
 
24
Santa Ana Event October 2003
  • SREF showed some skill
  • Increased resolution of model would likely create better forecasts
  • Fosberg Fire Weather Index did not verify well for this event
25
Conclusions
  • Short range ensemble forecasts will be used more and more in the future
  • With increased experience and development, ensembles will likely prove to be more useful than a single deterministic model


26
Conclusions (Continued)
  • Model resolution increases
  • Better model physics
  • Ongoing research in Initial Condition perturbations
  • Increased ensemble spread
  • Data mining tools and display
27
Acknowledgements
  • The authors would like to thank Steve Weiss at the Storm Prediction Center for his review and Jason Levit for his assistance with case study data
28
For more information
  • Visit the SPC Fire Weather Page:
    • www.spc.noaa.gov/fire
    • Page contains latest SPC fire outlooks, Eta forecasts and latest surface analysis
    • Will include ensemble forecast guidance in the future
    • This presentation is available online:
    • www.spc.noaa.gov/publications/taylor/srefams.html



    • Email: Sarah.Taylor@noaa.gov