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R. Droghei

Researcher at Roma Tre University

Publications -  28
Citations -  380

R. Droghei is an academic researcher from Roma Tre University. The author has contributed to research in topics: Diophantine equation & Nonlinear system. The author has an hindex of 9, co-authored 25 publications receiving 309 citations. Previous affiliations of R. Droghei include Sapienza University of Rome & National Research Council.

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Copernicus Marine Service Ocean State Report

Karina von Schuckmann, +121 more
TL;DR: Sandrine Mulet, Bruno Buongiorno Nardelli, Simon Good, Andrea Pisano, Eric Greiner, Maeva Monier, Emmanuel... as discussed by the authors The Essential Variables of Ocean Temperature and Salinity
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The role of Internal Solitary Waves on deep-water sedimentary processes: The case of up-slope migrating sediment waves off the Messina Strait

TL;DR: Combining field observations and numerical modelling, it is shown that ISWs can account for three key features: ISWs produce fluid velocities capable of mobilizing bottom sediments, and the predicted refraction pattern resulting from the interaction of ISWs with bottom topography matches the observed deflection of the sand waves.
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A New Global Sea Surface Salinity and Density Dataset From Multivariate Observations (1993–2016)

TL;DR: A daily (weekly sampled) global reprocessed dataset at ¼°x¼° resolution has been produced by modifying a multivariate optimal interpolation technique originally developed within MyOcean project, applying it to in situ salinity/density measurements covering the period from 1993 to 2016.
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Multi-dimensional interpolation of SMOS sea surface salinity with surface temperature and in situ salinity data

TL;DR: In this article, a daily, 1/4° nominal resolution, mesoscale-resolving SSS field product is obtained by using a multidimensional optimal interpolation (OI) algorithm combining SMOS salinity retrievals and satellite sea surface temperature data with in situ salinity measurements.
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Combining In Situ and Satellite Observations to Retrieve Salinity and Density at the Ocean Surface

TL;DR: In this article, a multidimensional covariance model is applied to interpolate either in situ salinity or in situ density measurements and to build dynamically coherent surface fields, using satellite SST differ.