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INTERCOMPARISON OF ALTERNATIVE VEGETATION DATABASES FOR REGIONAL AIR QUALITY MODELING
Citation:
Pierce Jr., T E., J E. Pleim, E. Kinnee, AND L. Joyce. INTERCOMPARISON OF ALTERNATIVE VEGETATION DATABASES FOR REGIONAL AIR QUALITY MODELING. Presented at AMS 12th Joint Conference with AWMA on Applications of Air Pollution Meteorology, Norfolk, VA, May 20-23, 2002.
Impact/Purpose:
To improve the accuracy of emissions and dry deposition algorithms in the Agency's regulatory air quality and multimedia simulation models. This effort requires developing process-oriented algorithms, assembling geographical data, evaluating algorithms against field data, and designing and collaborating on field experiments to collect the data needed to test these algorithms.
Description:
Vegetation cover data are used to characterize several regional air quality modeling processes, including the calculation of heat, moisture, and momentum fluxes with the Mesoscale Meteorological Model (MM5) and the estimate of biogenic volatile organic compound and nitric oxide emissions with the Biogenic Emissions Inventory System (BEIS) [Byun and Ching, 1999]. This paper compares vegetation cover estimated from three contemporary databases: (1) the North American Land Cover Characteristics (NALCC) database, (2) the Biogenic Emissions Landcover Database (BELD3), and (3) the National Land Cover Database (NLCD). Eash of these databases is being used or offers the potential for use with regional-scale air quality models.
This paper has been reviewed in accordance with the U.S. Environmental Protection Agency's peer and administrative review policies. Mention of products or trade names does not constitute endorsement of recommendation of their use.