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NARSTO Workshop on Innovative Methods for Emission Inventory Development and Evaluation University of Texas, Austin October 14-17, 2003 |
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Characterizing Airmass Outflow using Daily Biomass Burning Emission Inventories in Support of Flight Measurement Campaigns
Jung-Hun Woo1, Gregory R. Carmichael1, David Streets2, Gakuji Kurata3, Youhua Tang11
1 University of Iowa, Iowa City, IA
2 Argonne National Laboratory, Argonne, IL
3 Toyohashi University of Technology, Toyohashi, Japan
To support field experiments and complex atmospheric models such as STEM-2K1, high resolution emission inventories are needed. In addition to “traditional” anthropogenic emissions inventory, we developed new daily biomass burning emissions inventory using survey of national, regional, and international publications as well as satellite (AVHRR and TOMS Aerosol Index) information. Together with anthropogenic emissions inventory, the biomass burning emissions played a successful role in the chemical weather forecast during NASA Trace-P experiment. By using a combination of existing techniques (multivariate analysis, Chemical Mass Balance analysis, trajectory analysis and 3D modeling) applied to experimental and emission inventory data, we characterize sources signatures related to different regions and fuel/activity. Five DC8 flights with16 flight segments associated with outflow events are analyzed for this purpose. Recently, we are developing “Trans-Pacific” emission inventories to support of NOAA ITCT flight measurement campaign using what we learned from TRACE-P experience. This paper will present results from a new biomass burning inventory, air mass characterization using combined inventory/modeling/analysis and the pilot results for ITCT domain (Asia, Former Soviet Union, North America, and Central America). Some of the possibilities will be discussed to find better solutions to enhance emission inventories for such large scale. These include: (a) how to reduce data errors to enhance “signals” for both survey data and satellite data; (b) how to generalize emissions estimating methodology for such extended domain like inter-continental scale; (c) how to generate fast-response emissions for flight measurement planning through chemical weather forecasting; and (d) how to evaluate estimated emissions using various measurement/modeling information with consideration of source-receptor distance.