Www.mtri.org Nancy HF French, Don McKenzie, Tyler Erickson Poster # 301 with on-line demo – Wednesday Development and use of the Wildland Fire Emissions.

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Presentation transcript:

Nancy HF French, Don McKenzie, Tyler Erickson Poster # 301 with on-line demo – Wednesday Development and use of the Wildland Fire Emissions Information System for quantifying and mapping fire emissions for North America

Fire & Carbon GFED: The global amount of carbon combusted through fires is about 2.0 Pg C year -1, or about 22% of global fossil fuel emissions. van der Werf et al Atmos. Chem. Phys. Discuss.,10: , Carbon Sink Carbon Source CBM-CFS3: From 1990 to 2006 Canada’s managed forest was a Carbon Sink on average, but it was a Carbon Source in years with large burned area. Kurz, W.A. et al PNAS 105:

Fire Emissions Project Purpose: Improve access to emissions model inputs and results Provide best estimates of total carbon emissions to user community –Geospatially at 1km resolution –At daily to annual temporal resolution –For recent fire years (1980’s to 2009) Result: Improvement in data sets & model for emissions estimation Development of a prototype web-based system (WFEIS) Regional-scale estimates of emissions based on two burn area data sets Supported by a 3-year grant from NASA Carbon Cycle Science Program – Applied Sciences Program

4 WFEIS Project Team Nancy French, Mike Billmire Tyler Erickson, Ben Koziol Don McKenzie Roger D. Ottmar Ernesto Alvarado William de Groot Eric S. Kasischke Pacific Northwest Research Station, USDA Forest Service Department of Geography, University of Maryland Great Lakes Forestry Centre, Canadian Forest Service

WFEIS Estimation of Fire Emissions Daily weather → Fuel moisture Location and day of fire Fuel (vegetation) type (FCCS) Fuel load (biomass) and fire behavior Consumption & Emissions model (Consume) Output: Spatial representation of emissions

WFEIS Web-accessible Framework Method #1: WFEIS Emissions Calculator: / Method #2: WFEIS responds to queries submitted via properly encoded URL requests (it implements a RESTful Web API). The WFEIS website allows for two approaches for making fuel consumption and emissions estimates

Django Web Framework Spatial Database Backend RESTful Interface User Interface Python Scripts HTTP Access Web Browser Access CONSUME WFEIS Framework URL-formatted QUERY oregion=western/1000hr_FM=None/Duff_FM=None/CanopyPerConsume =None/PercentBlack=50/combustion_stage=total/stratum=total/output_u nits=tonnes/emistype=carbon/map.kml?DRNG= , &ROI=StateProvince,usa-OR

WFEIS Output

Comparison of Models Non-spatial, plot-level (Consume 3.0, FOFEM 5.7) Semi- or Pseudo-spatial (Canadian FBP, CanFIRE) Global-scale (GFED) Active fire estimates of burn area (FINN) vs. burn area WFEIS uses moderate resolution data of burn area and biomass to make regional-scale fire emissions estimates -- CONSUME 3.0 (USFS) -- FOFEM 5.7 (USFS) -- CanFIRE -- Canadian FBP -- GFED (NASA) -- FINN (NOAA) Other fire emissions models: Combustion Factors - ß Area Burned - A Fuel Consumption Emission Factors - EF Emissions Fuel Loading - B

Comparison of Models Five fire events: Biscuit fire in southern Oregon Montreal Lake central Saskatchewan Boundary fire in interior Alaska -- San Diego County, California 2003 and 2007 Results: -- Models generally agree (within 25% of each other) but vary due to model assumptions -- Vegetation fuel density, structure, and condition (fuel moisture) are important drivers of emissions variability -- Global-scale GFED modeled emissions are consistent with landscape/regional-scale estimates French, N.H.F. et al. (2011), "Model comparisons for estimating carbon emissions from North American wildland fire," Journal of Geophysical Research, 116, G00K05.