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Mario Adani, Srdjan Dobricic, and Nadia Pinardi

observational datasets may be scarcer at regional levels, and higher-resolution models are required to represent the dynamics correctly ( Douglass et al. 2009 ). The advent of operational oceanography ( Pinardi and Woods 2002 ) and the setup of real-time monitoring systems now allows high-resolution regional ocean reanalyses with a relevant number of observations and calibrated models to be carried out for the first time. In this paper we will describe the first ocean reanalysis for the Mediterranean Sea

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M.-I. Pujol, S. Dobricic, N. Pinardi, and M. Adani

manuscript). The numerical model has a resolution of (approximately 6.5 km), and it is able to represent eddies because the first Rossby radius of deformation is 10 km. Eddies in the Mediterranean are pervasive ( Millot 1999 ; Millot and Taupier-Letage 2005 ; Robinson et al. 2001 ), and the reproduction of mesoscales in the sea surface variability is a key parameter that is used to judge the quality of the assimilation and model system. Furthermore, we will assess the optimal satellite multimission

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Pierre Queffeulou and Abderrahim Bentamy

1. Introduction The wind and wave conditions over the Mediterranean Sea are characterized by particularly high space and time variability. There are several reasons for this. First, the Mediterranean Sea is located at the boundary between three typical meteorological weather patterns: the oceanic regime of the northeast Atlantic Ocean, dominated by both the position and movement of the Azores high pressure area and the low pressure systems moving across the northeast Atlantic Ocean; the warm

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S. Mangiarotti and F. Lyard

1. Introduction Sea level elevation (SLE) is one of the major indicators of climate evolution. Several processes can affect SLE on the time scale considered here (3–9 yr) in the Mediterranean Sea. Among the possible sources causing SLE variations are 1) temperature variations, in deep water (as it was observed by Béthoux et al. 1990 , 1998 ; Mangiarotti 2003 ) and in surface water ( Cazenave et al. 2001 ; Mangiarotti 2003 ), which contribute to the water column dilatation and contraction. 2

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Ana B. Ruescas, Manuel Arbelo, Jose A. Sobrino, and Cristian Mattar

( Castro et al. 2004 ; Legrand et al. 1994 ). The unique contribution of this work is to identify and evaluate the bias in satellite SST retrievals caused mainly by large quantities of absorbing atmospheric aerosols in the Mediterranean Sea. This paper also provides some explanations for anomalies observed in these biases. To this end, the Global Ocean Data Assimilation Experiment (GODAE) High Resolution SST Pilot Project (GHRSST) Match-up Database of collocated satellite and in situ SSTs are used

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Milena Veneziani, Annalisa Griffa, and Pierre-Marie Poulain

subbasin of the Mediterranean Sea, where a significant historical drifter dataset has been collected over the years (e.g., Poulain 2001 ). We focus on the region of a new experiment that is presently being planned, the Dynamics of the Adriatic in Real Time (DART; see information online at http://oceans.deas.harvard.edu/haley/DART05 ). The DART region is in the coastal area of the middle Adriatic, close to the Gargano Cape. It is an area with strong topographic control and significant mesoscale

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Briac Le Vu, Alexandre Stegner, and Thomas Arsouze

-lived Agulhas Rings control the global transport in the Southern Ocean ( Dencausse et al. 2010 ; Laxenaire et al. 2017, manuscript submitted to Geophys. Res. Lett. ). In the Mediterranean Sea, the mean cyclonic pathways of the Algerian eddies ( Escudier et al. 2016 ) have an impact on the regional transport of Atlantic water and Levantine Intermediate Water in the Algerian Basin. Additionally, mesoscale eddies can have a profound influence on biological productivity and on the upper-ocean ecology and

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Hans van Haren, Roel Bakker, Yvo Witte, Martin Laan, and Johan van Heerwaarden

), in French territorial waters of the western Mediterranean Sea. The telescopes use highly sensitive optical instrumentation attached to multiple mooring lines so that they also sample a volume of seawater, like 3D-T. The technique of deployment of the self-unrolling telescope lines bears many similarities with that of 3D-T, although the 30-kN mooring lines including anchor weights are lowered via a ship winch to the seafloor one by one. Results from the complimentary optical and temperature

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Pierre-Marie Poulain, Riccardo Gerin, Elena Mauri, and Romain Pennel

) downwind is the velocity difference projected in the downwind direction and | W | is the wind speed. 3. Data and methods a. Drifter designs CODE drifters were developed by Davis (1985) in the early 1980s to measure the currents in the first meter under the sea surface. They were mostly used in coastal areas and in marginal seas such as the Gulf of Mexico ( Ohlmann et al. 2001 ; Ohlmann and Niiler 2005 ; LaCasce and Ohlmann 2003 ) and the Mediterranean Sea ( Poulain 1999 , 2001 ; Poulain and

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David Antoine, André Morel, Edouard Leymarie, Amel Houyou, Bernard Gentili, Stéphane Victori, Jean-Pierre Buis, Nicolas Buis, Sylvain Meunier, Marius Canini, Didier Crozel, Bertrand Fougnie, and Patrice Henry

radiance distribution. The progressive modification of L (Ξ) with increasing depth was described and the trend toward a diffuse light regime (or “asymptotic radiance” distribution) was corroborated by these early measurements. A set of L (Ξ) measurements was collected in the Mediterranean Sea in 1971 by Norwegian oceanographers aboard the R/V Helland-Hansen . These data have been recently reanalyzed by Aas and Højerslev (1999) and Adams et al. (2002) , who also give a historical account of

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