This paper deals with the analysis of drifter campaigns realized in two different domains, the Gulf of Mexico and the Mar Grande Basin (Italy). Relative dispersion, diffusivity, and velocity variance were estimated, identifying different growth regimes. An exponential growth of the dispersion process was detected during the initial phase of deployment, and empirical laws for horizontal diffusivity were inferred. Velocity variance and integral time scale of the turbulence were obtained by using different techniques capable of evaluating short-term dispersion phenomena and sub-mesoscale turbulence. A spectral analysis realized in accordance with Taylor’s theory was used to estimate the Lagrangian time scale in domains strongly affected by inertial oscillations.
Statistical analysis of turbulent dispersion in the sea surface layer based on satellite-tracked drifter data / Pini, Agnese; Leuzzi, Giovanni; Monti, Paolo. - In: INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING. - ISSN 1053-5381. - 28:3(2018), pp. 240-247. [10.17736/ijope.2018.ak29]
Statistical analysis of turbulent dispersion in the sea surface layer based on satellite-tracked drifter data
Agnese Pini
;Giovanni Leuzzi;Paolo Monti
2018
Abstract
This paper deals with the analysis of drifter campaigns realized in two different domains, the Gulf of Mexico and the Mar Grande Basin (Italy). Relative dispersion, diffusivity, and velocity variance were estimated, identifying different growth regimes. An exponential growth of the dispersion process was detected during the initial phase of deployment, and empirical laws for horizontal diffusivity were inferred. Velocity variance and integral time scale of the turbulence were obtained by using different techniques capable of evaluating short-term dispersion phenomena and sub-mesoscale turbulence. A spectral analysis realized in accordance with Taylor’s theory was used to estimate the Lagrangian time scale in domains strongly affected by inertial oscillations.File | Dimensione | Formato | |
---|---|---|---|
Pini_Statistical-analysis_2018.pdf
solo gestori archivio
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
921.94 kB
Formato
Adobe PDF
|
921.94 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.