Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California

Biogenic volatile organic compounds (BVOC) participate in reactions that can lead to secondarily formed ozone and particulate matter (PM) impacting air quality and climate. BVOC emissions are important inputs to chemical transport models applied on local to global scales but considerable uncertainty...

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Main Authors: J. O. Bash, K. R. Baker, M. R. Beaver
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/9/2191/2016/gmd-9-2191-2016.pdf
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spelling doaj-7f8ce2a14dd74b8aaa73d9a093d3843c2020-11-25T01:52:05ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032016-06-01962191220710.5194/gmd-9-2191-2016Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in CaliforniaJ. O. Bash0K. R. Baker1M. R. Beaver2US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USAUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC, USAUS Environmental Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC, USABiogenic volatile organic compounds (BVOC) participate in reactions that can lead to secondarily formed ozone and particulate matter (PM) impacting air quality and climate. BVOC emissions are important inputs to chemical transport models applied on local to global scales but considerable uncertainty remains in the representation of canopy parameterizations and emission algorithms from different vegetation species. The Biogenic Emission Inventory System (BEIS) has been used to support both scientific and regulatory model assessments for ozone and PM. Here we describe a new version of BEIS which includes updated input vegetation data and canopy model formulation for estimating leaf temperature and vegetation data on estimated BVOC. The Biogenic Emission Landuse Database (BELD) was revised to incorporate land use data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land product and 2006 National Land Cover Database (NLCD) land coverage. Vegetation species data are based on the US Forest Service (USFS) Forest Inventory and Analysis (FIA) version 5.1 for 2002–2013 and US Department of Agriculture (USDA) 2007 census of agriculture data. This update results in generally higher BVOC emissions throughout California compared with the previous version of BEIS. Baseline and updated BVOC emission estimates are used in Community Multiscale Air Quality (CMAQ) Model simulations with 4 km grid resolution and evaluated with measurements of isoprene and monoterpenes taken during multiple field campaigns in northern California. The updated canopy model coupled with improved land use and vegetation representation resulted in better agreement between CMAQ isoprene and monoterpene estimates compared with these observations.http://www.geosci-model-dev.net/9/2191/2016/gmd-9-2191-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. O. Bash
K. R. Baker
M. R. Beaver
spellingShingle J. O. Bash
K. R. Baker
M. R. Beaver
Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
Geoscientific Model Development
author_facet J. O. Bash
K. R. Baker
M. R. Beaver
author_sort J. O. Bash
title Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
title_short Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
title_full Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
title_fullStr Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
title_full_unstemmed Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California
title_sort evaluation of improved land use and canopy representation in beis v3.61 with biogenic voc measurements in california
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2016-06-01
description Biogenic volatile organic compounds (BVOC) participate in reactions that can lead to secondarily formed ozone and particulate matter (PM) impacting air quality and climate. BVOC emissions are important inputs to chemical transport models applied on local to global scales but considerable uncertainty remains in the representation of canopy parameterizations and emission algorithms from different vegetation species. The Biogenic Emission Inventory System (BEIS) has been used to support both scientific and regulatory model assessments for ozone and PM. Here we describe a new version of BEIS which includes updated input vegetation data and canopy model formulation for estimating leaf temperature and vegetation data on estimated BVOC. The Biogenic Emission Landuse Database (BELD) was revised to incorporate land use data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land product and 2006 National Land Cover Database (NLCD) land coverage. Vegetation species data are based on the US Forest Service (USFS) Forest Inventory and Analysis (FIA) version 5.1 for 2002–2013 and US Department of Agriculture (USDA) 2007 census of agriculture data. This update results in generally higher BVOC emissions throughout California compared with the previous version of BEIS. Baseline and updated BVOC emission estimates are used in Community Multiscale Air Quality (CMAQ) Model simulations with 4 km grid resolution and evaluated with measurements of isoprene and monoterpenes taken during multiple field campaigns in northern California. The updated canopy model coupled with improved land use and vegetation representation resulted in better agreement between CMAQ isoprene and monoterpene estimates compared with these observations.
url http://www.geosci-model-dev.net/9/2191/2016/gmd-9-2191-2016.pdf
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