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REFINING FIRE EMISSIONS FOR AIR QUALITY MODELING WITH REMOTELY-SENSED FIRE COUNTS: A WILDFIRE CASE STUDY
Citation:
ROY, B., G. POULIOT, A. GILLILAND, T. E. PIERCE, S. HOWARD, P. BHAVE, AND W. G. BENJEY. REFINING FIRE EMISSIONS FOR AIR QUALITY MODELING WITH REMOTELY-SENSED FIRE COUNTS: A WILDFIRE CASE STUDY. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 41(3):655-665, (2007).
Impact/Purpose:
The objective of this task is to improve the ability to model emissions from selected environmentally-dependent sources, test the performance of the models, incorporate them into a larger emission-modeling framework, and evaluate the effect of the emission models in support of improving the performance of CMAQ at all spatial and temporal scales. Evaluation will be with respect to previous CMAQ modeling results and ambient concentration data. In addition, the task will provide ADP and GIS contractor support for the generation and application of emission data in support of CMAQ development and evaluation as well as emission research.
Description:
This paper examines the use of Moderate Resolution Imaging Spectroradiometer (MODIS) observed active fire data (pixel counts) to refine the National Emissions Inventory (NEI) fire emission estimates for major wildfire events. This study was motivated by the extremely limited information available for many years of the United States Environmental
Protection Agency (U.S. EPA) NEI about the specific location and timing of major fire events.