Record Display for the EPA National Library Catalog

RECORD NUMBER: 10 OF 21

OLS Field Name OLS Field Data
Main Title Evaluation of Forest Canopy Models for Estimating Isoprene Emissions.
Author Lamb, B. ; Allwine, E. ; Dilts, S. ; Westberg, H. ; Pierce., T. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Washington State Univ., Pullman. ;National Oceanic and Atmospheric Administration, Oak Ridge, TN. Atmospheric Turbulence and Diffusion Div. ;National Center for Atmospheric Research, Boulder, CO.
Publisher 1994
Year Published 1994
Report Number EPA/600/A-94/024;
Stock Number PB94-155280
Additional Subjects Hydrocarbons ; Forests ; Air pollution ; Isoprene ; Emission ; Measurement ; Regions ; Inventories ; Photosynthesis ; Mathematical models ; Gases ; Heat flux ; Carbon dioxide ; Estimates ; Plant canopies ; Radiative transfer
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB94-155280 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 09/01/1994
Collation 7p
Abstract
During the summer 1992, environmental and biogenic hydrocarbon emissions data were collected in a mixed hardwood forest at scales ranging from leaf to canopy to the mixed layer for the purpose of investigating issues related to the scale-up of leaf or branch level emission measurements to regional emission inventories. Results from canopy measurements are compared to several different forest canopy emission models. These range in complexity from a no-canopy effects method to the PC-BEIS canopy profile method to a numerical forest canopy radiative transfer model. The investigation includes a model-to-model intercomparison of predicted canopy environmental parameters including photosynthetically active radiation (PAR) and leaf temperature. The work is seeking to evaluate relatively simple modeling approaches for use in regional emission inventories using field data and more sophisticated numerical models.