2016
DOI: 10.1016/j.dsr2.2016.06.020
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Forecast of drifter trajectories using a Rapid Environmental Assessment based on CTD observations

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Cited by 16 publications
(12 citation statements)
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“…The kinetic energy is thus dynamically consistent with the initial condition and the wind stress field applied. This methodology is a common practice for the initialization of regional/coastal models with climatological (Mellor, 1991; or quasi-synoptic data for nowcast (Onken and Sellschopp, 2001;Sorgente et al, 2016) and forecast experiments (Ezer et al, , 1993Onken et al, 2005). Running the ocean model in diagnostic mode, rather than the classical geostrophic approach, usually gives more realistic results.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…The kinetic energy is thus dynamically consistent with the initial condition and the wind stress field applied. This methodology is a common practice for the initialization of regional/coastal models with climatological (Mellor, 1991; or quasi-synoptic data for nowcast (Onken and Sellschopp, 2001;Sorgente et al, 2016) and forecast experiments (Ezer et al, , 1993Onken et al, 2005). Running the ocean model in diagnostic mode, rather than the classical geostrophic approach, usually gives more realistic results.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…It is a free surface three-dimensional primitive equation. It is based on the Princeton ocean model [30] and was implemented between 9-16.50 • E and 31.50-43 • N with a horizontal resolution of about 2 km (1/48 • of degree in latitude) on 30 sigma levels [10]. The initial and lateral conditions were obtained from a one-way asynchronous nesting of the forecasted hourly fields of temperature, salinity, and total velocity [25] from the regional Mediterranean Forecasting System (MFS) provided by the Copernicus Marine Service [31].…”
Section: The Sicily Channelmentioning
confidence: 99%
“…This last parameter is dimensionless based on the cumulative Lagrangian separation distances normalized by the associated cumulative observed trajectory lengths. Its value can vary between 0 and 1, with 1 corresponding to a total overlap between the observed and simulated trajectories, while 0 corresponds to a difference between the path of the drifters and the simulated trajectories on the same path made by the drifters [10,13].…”
Section: Numerical System Validationmentioning
confidence: 99%
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“…It is widely used as an evaluation method of trajectory modeling [20,21] and was proposed to solve weaknesses in the Lagrangian separation distance in relation to the continental shelf and its adjacent deep ocean. The evaluation methods in Sections 4.1 and 4.2 are the average of the errors, and thus the lower the better.…”
Section: Normalized Cumulative Lagrangian Separation (Ncls)mentioning
confidence: 99%