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Nadia Pinardi

Researcher at University of Bologna

Publications -  285
Citations -  10783

Nadia Pinardi is an academic researcher from University of Bologna. The author has contributed to research in topics: Mediterranean sea & Data assimilation. The author has an hindex of 53, co-authored 255 publications receiving 9541 citations. Previous affiliations of Nadia Pinardi include National Institute of Geophysics and Volcanology & Oceanography Society.

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The Adriatic Sea General Circulation. Part I: Air–Sea Interactions and Water Mass Structure

TL;DR: In this article, a comprehensive historical hydrographic dataset for the overall Adriatic Sea basin is analyzed in order to define the open ocean seasonal climatology of the basin.
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Variability of the large scale general circulation of the Mediterranean Sea from observations and modelling: a review

TL;DR: In this article, an overview of the most recent findings about the Mediterranean Sea present-day circulation structure is presented, outlining the differences and agreement between historical observations and numerical model simulations, and the importance of the mesoscales in modifying the large scale flow field is elucidated.
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The Adriatic Sea General Circulation. Part II: Baroclinic Circulation Structure

TL;DR: In this article, the horizontal structure of the hydrographic parameters and dissolved oxygen fields is described on a seasonal timescale and the resulting baroclinic circulation is weak and suggests the presence of barotropic current components not accessible by the dataset.
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The Mediterranean ocean forecasting system: first phase of implementation (1998–2001)

TL;DR: The Mediterranean Forecasting system Pilot Project has concluded its activities in 2001, achieving the following goals: 1. Realization of the first high-frequency (twice a month) Voluntary Observing Ship (VOS) system for the Mediterranean Sea with XBT profiles for the upper thermocline (0-700 m) and 12 n.m. along track nominal resolution; 2. Analysis and NRT dissemination of high quality along track Sea Level Anomaly (SLA), Sea Surface Temperature (SST) data from satellite sensors to be assimilated into the forecasting model; 4