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<article language="en">
	<journal>
		<journal_title>Ocean Science</journal_title>
		<journal_url>www.ocean-sci.net</journal_url>
		<issn>1812-0784</issn>
		<eissn>1812-0792</eissn>
		<volume_number>2</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/os-2-223-2006</doi>
	<article_url>http://www.ocean-sci.net/2/223/2006/</article_url>
	<abstract_html>http://www.ocean-sci.net/2/223/2006/os-2-223-2006.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/2/223/2006/os-2-223-2006.pdf</fulltext_pdf>
	<start_page>223</start_page>
	<end_page>236</end_page>
	<publication_date>2006-11-22</publication_date>
	<article_title content_type="html">Implementation of position assimilation for ARGO floats in a realistic Mediterranean Sea OPA model and twin experiment testing</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>V. Taillandier</name>
			<email>vincent@sp.ismar.cnr.it</email>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>A. Griffa</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CNR-ISMAR, La Spezia, Italy</affiliation>
		<affiliation numeration="2" content_type="html">RSMAS, University of Miami, Florida, USA</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper, a Lagrangian assimilation method is presented and implemented
in a realistic OPA OGCM with the goal of providing an assessment of the
assimilation of realistic Argo float position data. We focus on an
application in the Mediterranean Sea, where in the framework of the MFSTEP
project an array of Argo floats have been deployed with parking depth at 350
m and sampling interval of 5 days. In order to quantitatively test the
method, the &quot;twin experiment&quot; approach is followed and synthetic
trajectories are considered. The method is first tested using &quot;perfect&quot;
data, i.e. without shear drift errors and with relatively high coverage.
Results show that the assimilation is effective, correcting the velocity
field at the parking depth, as well as the velocity profiles and the
geostrophically adjusted mass field. We then consider the impact of
realistic datasets, which are spatially sparse and characterized by shear
drift errors. Such data provide a limited global correction of the model
state, but they efficiently act on the location, intensity and shape of the
described mesoscale structures of the intermediate circulation.</abstract>
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</article>

