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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>8</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-16981-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/16981/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/16981/2008/acpd-8-16981-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/16981/2008/acpd-8-16981-2008.pdf</fulltext_pdf>
	<start_page>16981</start_page>
	<end_page>17036</end_page>
	<publication_date>2008-09-10</publication_date>
	<article_title content_type="html">Evaluating the performance of pyrogenic and biogenic emission inventories against one decade of space-based formaldehyde columns</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>T. Stavrakou</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>J.-F. Müller</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>I. De Smedt</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>M. Van Roozendael</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>G. R. van der Werf</name>
		</author>
		<author numeration="6" affiliations="3">
			<name>L. Giglio</name>
		</author>
		<author numeration="7" affiliations="4">
			<name>A. Guenther</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Belgian Institute for Space Aeronomy, Avenue Circulaire 3, 1180, Brussels, Belgium</affiliation>
		<affiliation numeration="2" content_type="html">Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands</affiliation>
		<affiliation numeration="3" content_type="html">Science Systems and Applications, Inc. NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA</affiliation>
		<affiliation numeration="4" content_type="html">National Center for Atmospheric Research, Boulder, CO 80303, USA</affiliation>
	</affiliations>
	<abstract content_type="html">A new one-decade dataset of formaldehyde (HCHO) columns retrieved from
GOME and SCIAMACHY is compared with HCHO columns simulated by an updated
version of the IMAGES global chemical transport model. This model version
includes an optimized chemical scheme with respect to HCHO production,
where the short-term and final HCHO yields from pyrogenically emitted
non-methane volatile organic compounds (NMVOCs) are estimated from the
Master Chemical Mechanism (MCM) and an explicit speciation profile of
pyrogenic emissions.
The model is driven by the Global Fire Emissions Database (GFED) version 1 or 2 for biomass burning, whereas biogenic emissions are provided either
by the Global Emissions Inventory Activity (GEIA), or by a newly developed
inventory based on the Model of Emissions of Gases and Aerosols  from Nature
(MEGAN) algorithms driven by meteorological fields from the European
Centre for Medium-Range Weather Forecasts (ECMWF). The comparisons focus
on tropical ecosystems, North America and China, which experience strong
biogenic and biomass burning NMVOC emissions reflected in the enhanced
measured HCHO columns. These comparisons aim at testing the ability of the
model to reproduce the observed features of the HCHO distribution on the global
scale and at providing a first assessment of the performance of the current
emission inventories. The high correlation coefficients (&lt;i&gt;r&lt;/i&gt;&gt;0.8) between
the observed and simulated columns over most regions indicate a very good
consistency between the model, the implemented inventories and the
HCHO dataset. The use of the MEGAN-ECMWF inventory improves the model/data
agreement in almost all regions, but biases persist over parts of Africa
and the Northern Australia. Although neither GFED version is consistent
with the data over all regions, a better match is achieved over Indonesia
and Southern Africa when GFEDv2 is used, but GFEDv1 succeeds better in getting the
correct seasonal patterns and intensities of the fire episodes over the
Amazon basin, as reflected by the higher correlations calculated in this region.</abstract>
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</article>

