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"Updates to Model Algorithms & Inputs for the Biogenic Emissions Inventory System (BEIS) Model"
Citation:
Bash, J., K. Baker, AND G. Pouliot. "Updates to Model Algorithms & Inputs for the Biogenic Emissions Inventory System (BEIS) Model". 16th Annual GEIA Conference, boulder, Co, June 10 - 11, 2014.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA mission to protect human health and the environment. AMAD research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.
Description:
We have developed new canopy emission algorithms and land use data for BEIS. Simulations with BEIS v3.4 and these updates in CMAQ v5.0.2 are compared these changes to the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and evaluated the simulations against observations. This has resulted in improvements in model evaluations of modeled isoprene, NOx, and O3.
URLs/Downloads:
BASH ET AL GEIA_5MIN.PDF (PDF, NA pp, 262.502 KB, about PDF)BASH ET AL GEIA_5MIN_ORIG.PPTX