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Using Short Range Ensemble Model Data in National Fire Weather Outlooks

Using Short Range Ensemble Model Data in National Fire Weather Outlooks. Sarah J. Taylor David Bright, Greg Carbin, Phillip Bothwell NWS/Storm Prediction Center Richard Naden Southwest Predictive Services. Overview. SPC Fire Weather Program Use of short range ensemble forecasts (SREF)

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Using Short Range Ensemble Model Data in National Fire Weather Outlooks

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  1. Using Short Range Ensemble Model Data in National Fire Weather Outlooks Sarah J. Taylor David Bright, Greg Carbin, Phillip Bothwell NWS/Storm Prediction Center Richard Naden Southwest Predictive Services

  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 ProgramTypes 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. SPC Fire Weather Outlook Issued on Sunday October 26, 2003

  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 outputStatistical 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 and Standard Deviation Valid July 8 at 2100 UTC

  12. Probability of Fosberg FWI greater than 75 Probability of Fosberg FWI greater than 50

  13. Maximum Fosberg Fire Weather Index valid 18 UTC July 8, 2003

  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 Sustained winds 20 kts or greater Minimum RH less than 5%

  16. Maximum Fosberg Fire Weather Index valid 18 UTC

  17. Observed maximum Fosberg FWI - valid 2100 UTC July 8, 2003

  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. 2055 UTC October 27, 2003 Image courtesy of Liam Gumley, Space Science and Engineering Center, UW-Madison

  21. Loop runs from 18 UTC October 26- 00 UTC October 27

  22. Loop runs from 18 UTC October 26- 00 UTC October 27

  23. Loop runs from 18 UTC October 26- 00 UTC October 27

  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

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