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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>6</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/os-6-461-2010</doi>
	<article_url>http://www.ocean-sci.net/6/461/2010/</article_url>
	<abstract_html>http://www.ocean-sci.net/6/461/2010/os-6-461-2010.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/6/461/2010/os-6-461-2010.pdf</fulltext_pdf>
	<start_page>461</start_page>
	<end_page>474</end_page>
	<publication_date>2010-04-26</publication_date>
	<article_title content_type="html">Sensitivity of oxygen dynamics in the water column of the Baltic Sea to external forcing</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Miladinova</name>
			<email>svetla.miladinova@jrc.ec.europa.eu</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>A. Stips</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CEC Joint Research Centre, Institute for Environment and Sustainability, Ispra (VA), Italy</affiliation>
	</affiliations>
	<abstract content_type="html">A 1-D biogeochemical/physical model of marine systems has been applied to
study the oxygen cycle in four stations of different sub-basins of the
Baltic Sea, namely, in the Gotland Deep, Bornholm, Arkona and Fladen. The
model consists of the biogeochemical model of Neumann et al. (2002) coupled
with the 1-D General Ocean Turbulence Model (GOTM). The model has been forced
with meteorological data from the ECMWF reanalysis project for the period
1998–2003, producing a six year hindcast which is validated with datasets
from the Baltic Environmental Database (BED) for the same period. The
vertical profiles of temperature and salinity are relaxed towards both
profiles provided by 3-D simulations of General Estuarine Transport Model
(GETM) and observed profiles from BED. Modifications in the parameterisation
of the air-sea oxygen fluxes have led to a significant improvement of the
model results in the surface and intermediate water layers. The largest
mismatch with observations is found in simulating the oxygen dynamics in the
Baltic Sea bottom waters. The model results demonstrate the good capability
of the model to predict the time-evolution of the physical and
biogeochemical variables at all different stations. Comparative analysis of
the modelled oxygen concentrations with respect to observation data is
performed to distinguish the relative importance of several factors on the
seasonal, interannual and long-term variations of oxygen. It is found that
natural physical factors, like the magnitude of the vertical turbulent
mixing, wind speed and the variation of temperature and salinity fields are
the major factors controlling the oxygen dynamics in the Baltic Sea. The
influence of limiting nutrients is less pronounced, at least under the
nutrient flux parameterisation assumed in the model.</abstract>
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</article>

