<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.ocean-sci.net/inc/os/copernicus.dtd">
<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-2-123-2006</doi>
	<article_url>http://www.ocean-sci.net/2/123/2006/</article_url>
	<abstract_html>http://www.ocean-sci.net/2/123/2006/os-2-123-2006.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/2/123/2006/os-2-123-2006.pdf</fulltext_pdf>
	<start_page>123</start_page>
	<end_page>136</end_page>
	<publication_date>2006-10-05</publication_date>
	<article_title content_type="html">Simulating biomass assimilation in a Mediterranean ecosystem model using SOFA: setup and identical twin experiments</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>G. Crispi</name>
			<email>gcrispi@ogs.trieste.it</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Pacciaroni</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>D. Viezzoli</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">Assessing the potential improvement of basin scale ecosystem forecasting for
the Mediterranean Sea requires biochemical data assimilation techniques. To
this aim, a feasibility study of surface biomass assimilation is performed
following an identical twin experiment approach. NPZD ecosystem data
generator, embedded in one eighth degree general circulation model, is
integrated with the reduced-order optimal interpolation System for Ocean
Forecasting and Analysis.

&lt;P&gt;

The synthetic &quot;sea-truth&quot; data are winter daily averages obtained from the
control run (CR). The twin experiments consist in performing two runs: the
free run (FR) with summer-depleted phytoplankton initial conditions and the
assimilated run (AR), in which, starting from the same FR phytoplankton
concentrations, weekly surface biomasses averaged from the CR data are
assimilated. The FR and AR initial conditions modify the winter bloom state
of the phytoplankton all over the basin and reduce the total nitrogen, i.e.&amp;nbsp;the energy of the biochemical ecosystem.

&lt;P&gt;

The results of this feasibility study shows good performance of the system
in the case of phytoplankton, zooplankton, detritus and surface inorganic
nitrogen. The weak results in the case of basin inorganic nitrogen and total
nitrogen, the latter nonperformant at surface, are discussed.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Berland, B. R., Benzhitski, A. G., Burlakova, Z. P., Georgieva, L. V., Izmestieva, M. A., Kholodov, V. I., and Maestrini, S. Y.: Conditions hydrologiques estivales en Méditerranée, repartition du phytoplancton et de la matière organique, Oceanol. Acta, 9(SP), 163&amp;ndash;177, 1988. </reference>
		<reference numeration="2" content_type="text"> Civitarese, G., Crise, A., Crispi, G., and Mosetti, R.: Circulation effects on nitrogen dynamics in the Ionian Sea, Oceanol. Acta, 19(6), 609&amp;ndash;621, 1996. </reference>
		<reference numeration="3" content_type="text"> Coste, B., Le Corre, P., and Minas, H. J.: Re-evaluation of the nutrient exchanges in the Strait of Gibraltar, Deep-Sea Res., 35, 767&amp;ndash;775, 1988. </reference>
		<reference numeration="4" content_type="text"> De May, P. and Benkiran, M.: A Multivariate Reduced-order Optimal Interpolation Method and its Application to the Mediterranean Basin-scale Circulation, in: Ocean Forecasting: conceptual basis and applications, edited by: Pinardi, N. and Woods, J., Springer Verlag, 281&amp;ndash;306, 2002. </reference>
		<reference numeration="5" content_type="text"> Demirov, E. and Pinardi, N.: Simulation of the Mediterranean Sea circulation from 1979 to 1993: Part I. The interannual variability, J. Mar. Syst., 33-34, 23&amp;ndash;50, 2002. </reference>
		<reference numeration="6" content_type="text"> Eppley, R. W.: Temperature and phytoplankton growth in the sea, Fish. Bull., 70, 1063&amp;ndash;1085, 1972. </reference>
		<reference numeration="7" content_type="text"> Gordon, H. R. and Morel, A. Y.: Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery. A review, Springer-Verlag, New York, pp. 114, 1983. </reference>
		<reference numeration="8" content_type="text"> Manca, B., Burca, M., Giorgetti, A., Coatanoan, C., Garcia, M.-J., and Iona, A.: Physical and biochemical averaged vertical profiles in the Mediterranean regions: an important tool to trace the climatology of water masses and to validate incoming data from operational oceanography, J. Mar. Syst., 48(1-4), 83&amp;ndash;116, 2004. </reference>
		<reference numeration="9" content_type="text"> McGill, D. A.: Mediterranean Sea Atlas &amp;ndash; distribution of nutrient chemical properties, Woods Hole Oceanographic Institution, Woodshole, MA, 1970. </reference>
		<reference numeration="10" content_type="text"> Monaco, A. and Peruzzi, S.: The Mediterranean Targeted Project MATER &amp;ndash; a multiscale approach of the variability of a marine system &amp;ndash; overview, J. Mar. Syst., 33-34, 3&amp;ndash;21, 2002. </reference>
		<reference numeration="11" content_type="text"> Osborne, J., Swift, J., and Flinchem, E. P.: OceanAtlas for MacIntosh$^© $. National Science Foundation, 1992. </reference>
		<reference numeration="12" content_type="text"> Pinardi, N., Baretta, J. W., Bianchi, M., Crépon, M., Crise, A., Rassoulzadegan, F., Thingstad, F., and Zavatarelli, M.: Coupled physical-biogeochemical models, in: Interdisciplinary research in the Mediterranean Sea, edited by: Lipiatou, E., EUR 17787, 316&amp;ndash;342, 1997. </reference>
		<reference numeration="13" content_type="text"> Raicich, F. and Rampazzo, A.: Observing System Simulation Experiments for the assessment of temperature sampling strategies in the Mediterranean Sea, Ann. Geoph., 21, 151&amp;ndash;165, 2003. </reference>
		<reference numeration="14" content_type="text"> Raicich, F.: The assessment of temperature and salinity sampling strategies in the Mediterranean Sea: idealized and real cases, Ocean Science, 2, 97&amp;ndash;112, 2006. </reference>
		<reference numeration="15" content_type="text"> Redfield, A. C., Ketchum, B. H., and Richards, F. A.: The influence of Sea Water, in: The Sea, vol. $2$, edited by: Hill, M. N., Interscience, New York, 26&amp;ndash;77, 1963. </reference>
		<reference numeration="16" content_type="text"> Sverdrup, H. U., Johnson, M. W., and Fleming, R. H.: The Oceans: their Physics, Chemistry and General Biology, Prentice Hall New York, pp. 1087, 1942. </reference>
		<reference numeration="17" content_type="text"> Triantafyllou, G., Hoteit, I., Korres, G., and Petihakis, G.: Ecosystem Modelling and Data Assimilation of Physical-Biogeochemical processes in Shelf and Regional Areas of the Mediterranean Sea, Appl. Num. Anal. Comp. Math., 2(2), 262&amp;ndash;280, 2005. </reference>
		<reference numeration="18" content_type="text"> Vecchi, G. A. and Harrison, M. J.: An observing system simulation experiment for the Indian Ocean, J. Climate, in press, 2006. </reference>
		<reference numeration="19" content_type="text"> Zavatarelli, M., Raicich, F., Bregant, D., Russo, A., and Artegiani, A.: Climatological characteristics of the Adriatic Sea, J. Mar. Syst., 18(1&amp;ndash;3), 227&amp;ndash;263, 1998. </reference>
	</references>
</article>

