Simulating prescribed fire impacts for air quality management Georgia Institute of Technology M. Talat Odman, Yongtao Hu, Fernando Garcia- Menendez, Aika Yano, and Armistead G. Russell School of Civil & Environmental Engineering, Georgia Institute of Technology AQAST Meeting, June 12 th , 2012 Improving Operational Regional Air Quality Forecasting Performance through Emissions Correction Using NASA Satellite Retrievals and Surface Measurements PI: Armistead G. Russell 1 , Co-Is: Yongtao Hu 1 , M. Talat Odman 1 , Lorraine Remer 2 1 Georgia Institute of Technology, 2 NASA Goddard Space Flight Center Primary Stakeholder Clients: Georgia EPD; Georgia Forestry Commission
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Simulating prescribed fire impacts for air quality management
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Simulating prescribed fire impacts for air quality management
Georgia Institute of Technology
M. Talat Odman, Yongtao Hu, Fernando Garcia-Menendez, Aika Yano, and Armistead G. Russell
School of Civil & Environmental Engineering, Georgia Institute of Technology
AQAST Meeting, June 12th, 2012
Improving Operational Regional Air Quality Forecasting Performance through Emissions Correction Using NASA Satellite Retrievals and Surface
MeasurementsPI: Armistead G. Russell1, Co-Is: Yongtao Hu1, M. Talat Odman1, Lorraine
Remer2
1Georgia Institute of Technology, 2 NASA Goddard Space Flight Center Primary Stakeholder Clients: Georgia EPD; Georgia Forestry Commission
Georgia Institute of Technology
Activities Overview of first year AQAST research
Expanded Hi-Res operational forecasting system Forecasting efforts supporting field studies
Discover AQ & Fort Jackson Prescribed burn Simulating biomass burning air quality impacts
Simulating biomass burning using satellite-derived fire emissions Discover AQ and ARCTAS Campaign Evaluation with ground-based and satellite data
Simulating biomass burning Williams, CA prescribed fire Uncertainty and evaluation
Related: Bayesian CMAQ-satellite data assimilation Exposure estimation for epidemiologic studies
Georgia Institute of Technology
Hi-Res: forecasting ozone and PM2.5 48 hr forecast @ 4-km resolution for Georgia and 12-km for most states of
eastern US Hi-Res Modeling Domains
36-km (148x112)
12-km (123x138)4-km (123x123)
36-km (148x112)
12-km (123x138)4-km (123x123)
Hi-Res forecasting products are in use by Georgia EPD assisting their local AQI forecasts for multiple metro areas
Hi-Res forecasting products are potentially useful for other states
36-km (148x112)
12-km (123x138)
12-km (93x117)4-km (192x210)
4-km (165x141)
4-km (102x108)1-km (120x80)
ARCTASJun15-Jul14,2008
DISCOVER-AQJun27-Aug01,2011
GA-FL WildfiresMay08-Jun01,2007
1-km (112x112)
4-km (108x81)
Williams Burn, November 17, 2009
36-km (148x112)
12-km (123x138)
12-km (93x117)4-km (192x210)
4-km (165x141)
4-km (102x108)1-km (120x80)
ARCTASJun15-Jul14,2008
DISCOVER-AQJun27-Aug01,2011
GA-FL WildfiresMay08-Jun01,2007
1-km (112x112)
4-km (108x81)
Williams Burn, November 17, 2009
Georgia Institute of Technology
AQAST Modeling Domains
• Bottom-up estimates of fire emissions used for the Williams Burn and GA-FL wildfire simulations. • GOES biomass burning emissions GBBEP used for the ARCTAS and DISCOVER-AQ modeling.
• Provided 48 hour pollutant forecasts during Discover –AQ (with Emory)– Providing spatially more detailed AQ fields for comparison with
observations ( Yang Liu’s poster)• Forecasting for Prescribed Burn Study on October 30, 2011 at
Fort Jackson, SC– Concerned with impacting Columbia
Forecasting in Support of Field Studies
Forecasting with Assimilated PM Fields • Using satellite-data-assimilated PM fields as IC/BC in
forecasting system (with NOAA ARL, Pius Lee’s presentation) – Testing using Discover-AQ campaign period.
Fort Jackson, SC
Georgia Institute of Technology
CMAQ simulation: DISCOVER-AQ Campaign
12-km 4-km 1-km
O3(40ppb) MNB MNB MNB MNE MNB MNE
16.7 25.3 16.8 23.7 16.8 23.5
24hr PM2.5 FB FB FB FE FB FE
9.1 35.0 10.3 30.1 12.6 26.3
Performance (Surface networks)
Peak hour surface ozoneSurface 24-hr PM2.5
Georgia Institute of Technology
DISCOVER-AQ Campaign: Comparison with Satellite-derived AOD Fields
CMAQ AOD at 16Z 07022011 CMAQ AOD at 18Z 07022011
MODIS AOD Terra (L2) 16Z 07022011 MODIS AOD Aqua (L2) 18Z 07022011
Simulated AOD is 25% lower in general
Georgia Institute of Technology
ARCTAS: Northern California Wildfires June 27, 2008