Coastal Rapid Environmental Assessment in the Northern Adriatic Sea

Simoncelli, Simona; Pinardi, Nadia; Oddo, Paolo; Mariano, Arthur J.; Montanari, G.; Rinaldi, A.; Deserti, Marco

doi:10.1016/j.dynatmoce.2011.04.004

Cited by 17 publications

(15 citation statements)

References 24 publications

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“…Following Simoncelli et al (2011) we prescribe constant salinity values at all river mouths parametrizing the effects of tidal mixing inside the river estuaries. Values chosen are equal to 15 psu for all rivers, except for the Po river where 17 psu is considered.…”

Section: River Parameterization In the Modelmentioning

confidence: 99%

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River runoff influences on the Central Mediterranean overturning circulation

et al. 2017

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Section: River Parameterization In the Modelmentioning

confidence: 99%

“…Values chosen are equal to 15 psu for all rivers, except for the Po river where 17 psu is considered. These constant salinity values are the result of sensitivity tests performed on the basis of salinity profiles measured at river mouths (Simoncelli et al 2011) and at the center of the basin (Oddo et al 2005). …”

Section: River Parameterization In the Modelmentioning

confidence: 99%

River runoff influences on the Central Mediterranean overturning circulation

et al. 2017

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“…We found that the reproduction of the correct topography, taking into account the small islands, that in a low-resolution model, such as MFS, are not correctly resolved, together with the initialization procedure are key configurations settings that should be correctly tuned. Regarding the initialization procedure, the general practice would suggest to choose the spin-up time which allows the ocean model to reach a state of physical equilibrium (Simoncelli et al 2011). On the other hand, as we found in this work, using a longer spin-up time, the IRENOM model is free to develop its own dynamics, but possibly introducing greater uncertainties when the model moves away from the MFS initial conditions (corrected using data assimilation).…”

Section: Discussionmentioning

confidence: 86%

“…A greater spin-up time causes the development of stronger currents especially south of Elba Island and finer spatial scales have a greater time to develop, as is the case of the circulation pattern north of Elba Island. To decide which spin-up time should be used, the general practice (Simoncelli et al 2011) would suggest to choose the spin-up time which allows the ocean model to reach a state of physical equilibrium, i.e., Total Kinetic Energy (TKE) plateau reached. Figure 9 shows the ratio between the (TKE), on the target day 14 February at 12:00 UTC, of the relocatable model and that of the father model MFS as a function of the spin-up time.…”

Section: Validation Of the Relocatable Model Using Drifters Trajectoriesmentioning

confidence: 99%

A relocatable ocean model in support of environmental emergencies

et al. 2014

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During the Costa Concordia emergency case, regional, subregional, and relocatable ocean models have been used together with the oil spill model, MEDSLIK-II, to provide ocean currents forecasts, possible oil spill scenarios, and drifters trajectories simulations. The models results together with the evaluation of their performances are presented in this paper. In particular, we focused this work on the implementation of the Interactive RElo- Concordia emergency and on its validation using drifters released in the area of the accident. It is shown that thanks to the capability of improving easily and quickly its configuration, the IRENOM results are of greater accuracy than the results achieved using regional or subregional model products. The model topography, the initialization procedures, and the horizontal resolution are the key model settings to be configured. Furthermore, the IRENOM currents and the MEDSLIK-II simulated trajectories showed to be sensitive to the spatial resolution of the meteorological fields used, providing higher prediction skills with higher resolution wind forcing.

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“…We considered the 20 monthly mean climatological river runoffs (Verri et al, 2017) River inflow surface salinity values were fixed to a constant value of 15 psu next to the river mouths, following the sensitivity tests carried out with the MFS parent model and the results of sensitivity tests performed by Simoncelli et al (2011) on the basis of salinity profiles measured in the shelf areas close to river outlets. This value has also been adopted in other studies on the Adriatic circulation, giving a realistic salinity profile for the open sea (Oddo et al, 2005).…”

Section: Surface Boundary Conditionsmentioning

confidence: 99%

Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas

Federico

Pinardi

Coppini

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. SANIFS (Southern Adriatic Northern Ionian coastal Forecasting System) is a coastal-ocean operational system based on the unstructured grid finite-element threedimensional hydrodynamic SHYFEM model, providing short-term forecasts. The operational chain is based on a downscaling approach starting from the large-scale system for the entire Mediterranean Basin (MFS, Mediterranean Forecasting System), which provides initial and boundary condition fields to the nested system.The model is configured to provide hydrodynamics and active tracer forecasts both in open ocean and coastal waters of southeastern Italy using a variable horizontal resolution from the open sea (3-4 km) to coastal areas (50-500 m).Given that the coastal fields are driven by a combination of both local (also known as coastal) and deep-ocean forcings propagating along the shelf, the performance of SAN-IFS was verified both in forecast and simulation mode, first (i) on the large and shelf-coastal scales by comparing with a large-scale survey CTD (conductivity-temperature-depth) in the Gulf of Taranto and then (ii) on the coastal-harbour scale (Mar Grande of Taranto) by comparison with CTD, ADCP (acoustic doppler current profiler) and tide gauge data.Sensitivity tests were performed on initialization conditions (mainly focused on spin-up procedures) and on surface boundary conditions by assessing the reliability of two alternative datasets at different horizontal resolution (12.5 and 6.5 km).The SANIFS forecasts at a lead time of 1 day were compared with the MFS forecasts, highlighting that SANIFS is able to retain the large-scale dynamics of MFS. The largescale dynamics of MFS are correctly propagated to the shelfcoastal scale, improving the forecast accuracy (+17 % for temperature and +6 % for salinity compared to MFS). Moreover, the added value of SANIFS was assessed on the coastalharbour scale, which is not covered by the coarse resolution of MFS, where the fields forecasted by SANIFS reproduced the observations well (temperature RMSE equal to 0.11 • C).Furthermore, SANIFS simulations were compared with hourly time series of temperature, sea level and velocity measured on the coastal-harbour scale, showing a good agreement. Simulations in the Gulf of Taranto described a circulation mainly characterized by an anticyclonic gyre with the presence of cyclonic vortexes in shelf-coastal areas. A surface water inflow from the open sea to Mar Grande characterizes the coastal-harbour scale.

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Coastal Rapid Environmental Assessment in the Northern Adriatic Sea

Cited by 17 publications

References 24 publications

River runoff influences on the Central Mediterranean overturning circulation

River runoff influences on the Central Mediterranean overturning circulation

A relocatable ocean model in support of environmental emergencies

Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas

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