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	<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-2-237-2006</doi>
	<article_url>http://www.ocean-sci.net/2/237/2006/</article_url>
	<abstract_html>http://www.ocean-sci.net/2/237/2006/os-2-237-2006.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/2/237/2006/os-2-237-2006.pdf</fulltext_pdf>
	<start_page>237</start_page>
	<end_page>248</end_page>
	<publication_date>2006-12-05</publication_date>
	<article_title content_type="html">Assessment of the impact of TS assimilation from ARGO floats in the Mediterranean Sea</article_title>
	<authors>
		<author numeration="1" affiliations="1,5">
			<name>A. Griffa</name>
			<email>agriffa@rsmas.miami.edu</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Molcard</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>F. Raicich</name>
		</author>
		<author numeration="4" affiliations="4">
			<name>V. Rupolo</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CNR, ISMAR/La Spezia, Italy</affiliation>
		<affiliation numeration="2" content_type="html">LSEET, Univ. Toulon, France</affiliation>
		<affiliation numeration="3" content_type="html">CNR, ISMAR/Trieste, Italy</affiliation>
		<affiliation numeration="4" content_type="html">ENEA, Casaccia, Roma, Italy</affiliation>
		<affiliation numeration="5" content_type="html">RSMAS, University of Miami, FL, USA</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper, the impact of assimilating Temperature (T) and Salinity (S)
profiles from Argo floats in the Mediterranean Sea is quantitatively
investigated using the Observing System Simulation Experiments (OSSE)
approach. The impact of varying the number of floats and their launch
positions is considered, using numerical simulations with a MOM model and a
reduced-order multivariate Optimal Interpolation scheme (SOFA) for
assimilation. Realistic float coverage and launch positions used during the
first MFSTEP phase are considered, as well as &quot;ideal&quot; density coverage
that can be envisioned for the future, corresponding to a double coverage
with respect to MFSTEP and with floats released along the VOS tracks. The
most effective float trajectories are identified, showing that frontal
regions play a major role, and that it is crucial to maintain a sufficient
coverage of them. In addition to this, a comparison is also performed
between the results obtained from MEDARGO floats in ideal conditions and
results from &quot;ideal&quot; profiles taken at fixed points along the VOS tracks,
as for the XBT data. For consistency the coverage considered is double the
actual XBT coverage during MFSTEP, resulting in a threefold increase in the
number of profiles compared to the MEDARGO experiment. The maximum error
reduction is of approximately 10%, suggesting that spatially coarser
profiles from floats can be more efficient since they follow flow features.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Arnold Jr., C. P. and Dey, C. H.: Observing-system simulation experiments: Past, present and future, Bull. Am. Meteorol. Soc., 67, 687&amp;ndash;695, 1986. </reference>
		<reference numeration="2" content_type="text"> Barth, N. and Wunsch, C.: Oceanographic experiment design by simulated annealing, J. Phys. Oceanogr., 20, 1249&amp;ndash;1263, 1990. </reference>
		<reference numeration="3" content_type="text"> Bennett, A.F.: Inverse methods for assessing ship-of-opportunity networks and estimating circulation and winds from tropical expendable bathythermograph data, J. Geophys. Res., 95, 16 111&amp;ndash;16 148, 1990. </reference>
		<reference numeration="4" content_type="text"> Blanke, B., Arhan, M., Madec, G., and Roche, S.: Warm water paths in the Equatorial Atlantic as diagnosed with a General Circulation Model, J. Phys. Oceanogr. 29, 2753&amp;ndash;2768, 1999. </reference>
		<reference numeration="5" content_type="text"> Brasseur, P., Beckers, J. M., Brankart, J. M., and Schoenauen, R.: Seasonal temperature and salinity fields in the Mediterranean Sea: Climatological analyses of an historical data set, Deep-Sea Res., 43, 159&amp;ndash;192, 1996. </reference>
		<reference numeration="6" content_type="text"> Burgers, G., Balmaseda, M. A., Vossepoel, F. C., von Oldenborgh, G. J., and van Leeuwen, P. J.: Balanced ocean data assimilation near the Equator. J. Phys. Oceanogr., 32, 2509&amp;ndash;2519, 2002. </reference>
		<reference numeration="7" content_type="text"> De Mey, P.: Optimal interpolation in a model of the Azores current in 1986-88, in: Data assimilation: Tools for modelling the ocean in a global perspective, NATO/ASI Series, I/19, edited by: Brasseur, P. P. and Nihoul, J. C. J., Springer-Verlag, 253 pp, 1994. </reference>
		<reference numeration="8" content_type="text"> De Mey, P.: Data assimilation at the oceanic mesoscale: A Review, J. Met. Soc. Japan, 75, Special issue on &quot;Data assimilation in meteorology and oceanography: Theory and practice&quot;, 415&amp;ndash;427, 1997. </reference>
		<reference numeration="9" content_type="text"> De Mey, 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="10" content_type="text"> Demirov, E., Pinardi, N., Fratianni, C., Tonani, M., Giacomelli, L., and De Mey, P.: Assimilation scheme of Mediterranean Forecasting System: Operational implementation, Ann. Geophys., 21, 189&amp;ndash;204, 2003. </reference>
		<reference numeration="11" content_type="text"> Fichaut, M., Balopoulos, E., Dooley, H., Garca-Fernandez, M.-J., Iona, A., Jourdan, D., Baudet, L., and Maillard, C.: A common protocol to assemble a coherent database from distributed heterogeneous data sets: The MEDATLAS database experience, In: Marine science and technology programme: Experiences in project data management, (Ed) Bohle-Carbonell, M., European Commission, Luxembourg, 349 pp, 1998. </reference>
		<reference numeration="12" content_type="text"> Hackert, E. C., Miller R. N., and Busalacchi, A. J.: An optimized design for a moored instrument array in the tropical Atlantic Ocean, J. Geophys. Res., 103, 7491&amp;ndash;7509, 1998. </reference>
		<reference numeration="13" content_type="text"> Hernandez, F., Le Traon, P.-Y., and Barth, N. H.: Optimizing a drifter cast strategy with a genetic algorithm, J. Atmos. Ocean. Tech., 12, 330&amp;ndash;345, 1994. </reference>
		<reference numeration="14" content_type="text"> Kindle, J. C.: Sampling strategies and model assimilation of altimetric data for ocean monitoring and prediction, J. Geophys. Res., 91, 2418&amp;ndash;2432, 1986. </reference>
		<reference numeration="15" content_type="text"> Korres, G., Pinardi, N., and Lascaratos, A.: The ocean response to low-frequency interannual atmospheric variability in the Mediterranean Sea. Part I: sensitivity experiments and energy analysis, J. Climate, 13, 705&amp;ndash;731, 2000. </reference>
		<reference numeration="16" content_type="text"> Manzella, G. M. R., Scoccimarro, E., Pinardi, N., and Tonani, M.: Improved near-real time management procedures for the Mediterranean ocean Forecasting System &amp;ndash; Voluntary Observing Ship program, Ann. Geophys., 21, 49&amp;ndash;62, 2003. </reference>
		<reference numeration="17" content_type="text"> Miyakoda, K., Smagorinsky, J., Strickler, R. F., and Hembree, G. D.: Experimental extended predictions with a nine-level hemispheric model, Mon. Wea. Rev., 97, 1&amp;ndash;76, 1969. </reference>
		<reference numeration="18" content_type="text"> Molcard, A., Griffam A., and Ozgokmenm T.: Lagrangian data assimilation in multilayer primitive equation models, J. Atmos. Oceanic Technol., 22, 70&amp;ndash;83, 2005. </reference>
		<reference numeration="19" content_type="text"> Pacanowski, R. C., Dixon, K., and Rosati, A.: The GFDL Modular Ocean Model users guide, version 1.0, Geophysical Fluid Dynamics Laboratory Ocean Tech. Rep., 2, 18 pp., 1990. </reference>
		<reference numeration="20" content_type="text"> Poulain, P.-M.: A profiling float program in the Mediterranean, Argonautics, 6, 2, 2005. </reference>
		<reference numeration="21" content_type="text"> Raicich, F. and Rampazzo, A.: Observing System Simulation Experiments for the assessment of temperature sampling strategies in the Mediterranean Sea, Ann. Geophys., 21, 151&amp;ndash;165, 2003. </reference>
		<reference numeration="22" content_type="text"> Raicich, F.: The assessment of temperature and salinity sampling strategies in the Mediterranean Sea: Idealized and real cases, Ocean Sci., 2, 97&amp;ndash;112, 2006. </reference>
		<reference numeration="23" content_type="text"> Rohaly, G. D. and Krishnamurti, I. N.: An observing system simulation experiment for the Laser Atmospheric Wind Sounder (LAWS), J. Appl. Meteorol., 32, 1453&amp;ndash;1471, 1993. </reference>
		<reference numeration="24" content_type="text"> She J., Høyer, J. L., and Larsen, J.: Assessment of sea surface temperature observational networks in the Baltic Sea and North Sea. J. Mar. Sys, Special Issue &quot;Marine Environmental Monitoring and Prediction&quot;, in press, 2006. </reference>
		<reference numeration="25" content_type="text"> Sparnocchia, S., Pinardi, N., and Demirov, E.: Multivariate Empirical Orthogonal Function analysis of the upper thermocline structure of the Mediterranean Sea from observations and model simulations, Ann. Geophys., 21, 167&amp;ndash;187, 2003. </reference>
		<reference numeration="26" content_type="text"> Taillandier, V., Griffa, A., and Molcard, A.: A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data, Ocean Modell., 13, 1&amp;ndash;24, 2006a. </reference>
		<reference numeration="27" content_type="text"> Taillandier V., Griffa, A., Poulain, P.-M., and Béranger, K.: Assimilation of &quot;Argo&quot; float positions in the North Western Mediterranean Sea and impact on ocean circulation simulations, Geophys. Res. Lett., 33, L11604, doi:10.1029/2005GL025552, 2006b. </reference>
		<reference numeration="28" content_type="text"> Taillandier, V. and Griffa, A.: Implementation of position assimilation for Argo floats in a realistic Mediterranean Sea OPA model and twin experiment testing, Ocean Sci., 2, 223&amp;ndash;236, 2006. </reference>
	</references>
</article>

