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<article language="en">
	<journal>
		<journal_title>Biogeosciences</journal_title>
		<journal_url>www.biogeosciences.net</journal_url>
		<issn>1726-4170</issn>
		<eissn>1726-4189</eissn>
		<volume_number>6</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/bg-6-681-2009</doi>
	<article_url>http://www.biogeosciences.net/6/681/2009/</article_url>
	<abstract_html>http://www.biogeosciences.net/6/681/2009/bg-6-681-2009.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences.net/6/681/2009/bg-6-681-2009.pdf</fulltext_pdf>
	<start_page>681</start_page>
	<end_page>703</end_page>
	<publication_date>2009-04-27</publication_date>
	<article_title content_type="html">Estimating the storage of anthropogenic carbon in the subtropical Indian Ocean: a comparison of five different approaches</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. Álvarez</name>
			<email>marta.alvarez@uib.es</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>C. Lo Monaco</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>T. Tanhua</name>
		</author>
		<author numeration="4" affiliations="4">
			<name>A. Yool</name>
		</author>
		<author numeration="5" affiliations="3">
			<name>A. Oschlies</name>
		</author>
		<author numeration="6" affiliations="5">
			<name>J. L. Bullister</name>
		</author>
		<author numeration="7" affiliations="6">
			<name>C. Goyet</name>
		</author>
		<author numeration="8" affiliations="2">
			<name>N. Metzl</name>
		</author>
		<author numeration="9" affiliations="6">
			<name>F. Touratier</name>
		</author>
		<author numeration="10" affiliations="4">
			<name>E. McDonagh</name>
		</author>
		<author numeration="11" affiliations="4">
			<name>H. L. Bryden</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">IMEDEA (CSIC-UIB), Miquel Marqués 21, 07190 Esporles, Spain</affiliation>
		<affiliation numeration="2" content_type="html">LOCEAN/IPSL, Université Paris 6 – place Jussieu 4, 75252 Paris, France</affiliation>
		<affiliation numeration="3" content_type="html">IFM-GEOMAR, Düsternbrooker Weg 20, 24105 Kiel, Germany</affiliation>
		<affiliation numeration="4" content_type="html">NOCS, Waterfront Campus European Way, Southampton, SO14 3ZH, UK</affiliation>
		<affiliation numeration="5" content_type="html">NOAA/Pacific Marine Environmental Laboratory, Seattle, Washington, USA</affiliation>
		<affiliation numeration="6" content_type="html">IMAGES, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan, France</affiliation>
	</affiliations>
	<abstract content_type="html">The subtropical Indian Ocean along 32&amp;deg; S was for the first time
simultaneously sampled in 2002 for inorganic carbon and transient tracers.
The vertical distribution and inventory of anthropogenic carbon (C&lt;sub&gt;ANT&lt;/sub&gt;)
from five different methods: four data-base methods (ΔC*, TrOCA, TTD
and IPSL) and a simulation from the OCCAM model are compared and discussed
along with the observed CFC-12 and CCl&lt;sub&gt;4&lt;/sub&gt; distributions. In the surface
layer, where carbon-based methods are uncertain, TTD and OCCAM yield the
same result (7&amp;plusmn;0.2 molC m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;), helping to specify the surface
C&lt;sub&gt;ANT&lt;/sub&gt; inventory. Below the mixed-layer, the comparison suggests that
C&lt;sub&gt;ANT&lt;/sub&gt; penetrates deeper and more uniformly into the Antarctic
Intermediate Water layer limit than estimated from the much utilized ΔC*
method. Significant CFC-12 and CCl&lt;sub&gt;4&lt;/sub&gt; values are detected in bottom
waters, associated with Antarctic Bottom Water. In this layer, except for
ΔC* and OCCAM, the other methods detect significant C&lt;sub&gt;ANT&lt;/sub&gt;
values. Consequently, the lowest inventory is calculated using the ΔC*
method (24&amp;plusmn;2 molC m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;) or OCCAM (24.4&amp;plusmn;2.8 molC m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;)
while TrOCA, TTD, and IPSL lead to higher inventories (28.1&amp;plusmn;2.2,
28.9&amp;plusmn;2.3 and 30.8&amp;plusmn;2.5 molC m&lt;sup&gt;&amp;minus;2&lt;/sup&gt; respectively). Overall and
despite the uncertainties each method is evaluated using its relationship
with tracers and the knowledge about water masses in the subtropical Indian
Ocean. Along 32&amp;deg; S our best estimate for the mean C&lt;sub&gt;ANT&lt;/sub&gt; specific
inventory is 28&amp;plusmn;2 molC m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;. Comparison exercises for data-based
C&lt;sub&gt;ANT&lt;/sub&gt; methods along with time-series or repeat sections analysis should
help to identify strengths and caveats in the C&lt;sub&gt;ANT&lt;/sub&gt; methods and to
better constrain model simulations.</abstract>
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</article>

