Prototyping the Emergency Smoke Response System (ESRS) Sim Larkin, Tara Strand, Robert Solomon (US Forest Service AirFire Team) Sean Raffuse, Dana Raffuse,

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Presentation transcript:

Prototyping the Emergency Smoke Response System (ESRS) Sim Larkin, Tara Strand, Robert Solomon (US Forest Service AirFire Team) Sean Raffuse, Dana Raffuse, Lyle Chinkin (Sonoma Technology) Tim Brown (Desert Research Institute) Pete Lahm (USFS), Trent Procter (USFS Region 5) Westar Fall Meeting 2008 October 3, 2008

Outline The Idea behind ESRS Provide smoke information for decision support Why develop the ESRS? Extraordinary California fires What was done for the ESRS Prototype? Southern California 2007 Northern California 2008

Smoke is a growing issue More fire Increasing wildfires, WFU and Rx fires Decreased public acceptance of smoke More health awareness, encroachment (WUI) Tightening regulations NAAQS standards (PM 2.5 & O 3 ), regional haze rule, exceptional events standards

There is more we can do - now Smoke Tools are inherently technology dependent Even more so than weather forecasts Too technological to be done on desktops/laptops But technology has advanced massively Now we have the world-wide web FIRE INFO WEATHER PREDICTIONS SMOKE TRAJECTORIES and CONCENTRATIONS

Smoke Tool Applications Real-Time Managing an Airshed –what will happen Lighting a burn –what will happen Managing a burn –what is happening Future Planning a burn –what if scenarios Historical Diagnosing an event –what happened

National Smoke Products National Weather Service smoke only (12-km) & aq (36-km) STI CMAQ national emissions inventory + fire national 36-km FCAMMS smoke only regional hi-res (4-km) national 12-km 3-day (based on NWS NAM) national 36-km 7-day (based on NWS GFS) All based on the modular BlueSky Smoke Modeling Framework developed by the USFS & partners All based on the modular BlueSky Smoke Modeling Framework developed by the USFS & partners

The BlueSky Framework: Logical, Modular Steps from Fire Info to Smoke Impacts Fire Info Fuels Total Consumption Time Rate Emissions Plume Rise Dispersion / Trajectories SMARTFIRE ICS-209 Rx Sys Manual Other FCCS NFDRS Hardy LANDFIRE Ag* Other CONSUME 3 FOFEM FEPS EPM ClearSky (Ag)* Satellite* Other Rx / WF FEPS FOFEM EPM WRAP Idealized Manual Other FEPS Literature* EPM FOFEM Other Briggs Multi-core** Daysmoke** Other CalPuff HYSPLIT CMAQ GEMAQ** Meteorological Input MM5 WRF NAM NARR Other

Southern California Fires 2007 asked by USDA for data supplemented other sources (e.g. NWS) SMARTFIRE (HMS&ICS) fire info CMAQ and CALPUFF model outputs Used: internally by USFS fire resource managers; in Smog Stories and press releases by USDA & AirNow; on White House conf call

Northern California Fires 2008 State of Emergency / Presidential Declaration Enormous Smoke Impacts (> 5 million people affected) USFS AirFire Team & Partners (STI, DRI) asked to develop prototype ESRS by Region 5 Federal / Private / University partnership Rapid Response basis

1.Improve Smoke Modeling Systems both background models and operational status 1.Provide New Tools Higher resolution On-the-fly trajectories Other species (e.g. Ozone) Smoke apportionment by source fire 1.Provide Forecasts expert interpreted forecast text and graphics GOALS:

Very High Resolution High resolution (1.33 km) meteorology and smoke dispersion For both fire behavior and air quality Winds, temperature, RH, mixing height, and smoke PM 2.5 Java animations available online

On Demand Trajectories

Daily 36-km air quality model Includes fires, other sources, and photochemistry Ozone (experimental only)

14

Smoke Exposure Contribution Map Combines modeled emissions and transport to determine which fires are likely to contribute to unhealthy air Provides information for including smoke impacts in management response decision making

16

Northern California Fires 2008 Daily Forecast Graphics 3 day, 2 night outlook Prepared by air quality meteorologist Forecast text summary california

AQUIPT: Longer-range planning Example: planning fire next Spring Can’t say what impacts will be But can use history as a guide air quality impacts planning tool Past Weather Dispersion Modeling Probabilistic Future Impacts += Web Interface Emissions Modeling +

AQUIPT: Accessible through web air quality impacts planning tool

AQUIPT: Summary Provides statistical answer to “what would have happened?” Provide basic source info, it does the rest Not just fire Uses climatology 24-hr turnaround Working on better graphics

WFDSS - Smoke Component Probabilistic smoke impacts to go with FSPRO’s probabilistic fire growth Working w/ Mark Finney

Thank you Funding from National Fire Plan, USDA CSREES NRI, USFS, Joint Fire Science Program, EPA, DOI, and NASA ROSES DSS. Sim Larkin Tara Strand