Preface &amp;quot;Operational oceanography in the Mediterranean Sea: the second stage of development&amp;quot;

Pinardi, Nadia; Coppini, Giovanni

doi:10.5194/os-6-263-2010

Cited by 102 publications

(68 citation statements)

References 32 publications

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“…In this work the regional model is forced by a 1/16° resolution daily analyses from the operational Mediterranean forecasting system, MFS (Tonani et al 2008;Pinardi and Coppini 2010) at the lateral open boundaries. The numerical model configuration is explained in details in "Appendix 1".…”

Section: Model Configuration and Experiments Set-upmentioning

confidence: 99%

“…For both the lateral open boundary conditions, LOBCs, and the initial conditions, ICs, data are taken from daily analysis of the operational Mediterranean forecasting System, MFS (Tonani et al 2008;Oddo et al 2009;Pinardi and Coppini 2010) based on the same code, NEMO, and covering the whole Mediterranean basin with 1/16 horizontal resolution.…”

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

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River runoff influences on the Central Mediterranean overturning circulation

et al. 2017

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Section: Model Configuration and Experiments Set-upmentioning

confidence: 99%

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

River runoff influences on the Central Mediterranean overturning circulation

et al. 2017

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“…The current velocities are provided by the Mediterranean Forecasting System (MFS, Pinardi et al, 2003;Pinardi and Coppini, 2010), the Adriatic Forecasting System (AFS, Guarnieri et al, 2013) and the IRENOM relocatable model, explained below.…”

Section: Ancillary Ocean and Atmospheric Fieldsmentioning

confidence: 99%

MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

et al. 2013

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Abstract. In this paper we use MEDSLIK-II, a Lagrangian marine surface oil spill model described in Part 1 , to simulate oil slick transport and transformation processes for realistic oceanic cases, where satellite or drifting buoys data are available for verification. The model is coupled with operational oceanographic currents, atmospheric analyses winds and remote sensing data for initialization. The sensitivity of the oil spill simulations to several model parameterizations is analyzed and the results are validated using surface drifters, SAR (synthetic aperture radar) and optical satellite images in different regions of the Mediterranean Sea. It is found that the forecast skill of Lagrangian trajectories largely depends on the accuracy of the Eulerian ocean currents: the operational models give useful estimates of currents, but high-frequency (hourly) and high-spatial resolution is required, and the Stokes drift velocity has to be added, especially in coastal areas. From a numerical point of view, it is found that a realistic oil concentration reconstruction is obtained using an oil tracer grid resolution of about 100 m, with at least 100 000 Lagrangian particles. Moreover, sensitivity experiments to uncertain model parameters show that the knowledge of oil type and slick thickness are, among all the others, key model parameters affecting the simulation results. Considering acceptable for the simulated trajectories a maximum spatial error of the order of three times the horizontal resolution of the Eulerian ocean currents, the predictability skill for particle trajectories is from 1 to 2.5 days depending on the specific current regime. This suggests that re-initialization of the simulations is required every day.

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“…MFS (http://medforecast.bo.ingv.it/) is an operational forecasting system [13][14][15] consisting of a near real-time observation system with satellite and in situ elements, a numerical ocean forecasting model at a basin scale, based on a primitive equation model [16,17], and a data assimilation scheme [18]. The MFS spatial domain is shown in Fig.…”

Section: Cosmo and Mfsmentioning

confidence: 99%

“…Sensitivity experiments have been carried out using different SSTs surface boundary conditions for the COSMO forecasts. Four different experiments have been carried out: the first two using SST fields obtained from the OSTIA (operational sea surface temperature and sea ice analysis) system, while the other two using the SST analyses and forecasts from MFS (Mediterranean Forecasting System, Tonani et al, 2015;Pinardi and Coppini, 2010). The different boundary conditions determine differences in the trajectory, pressure minimum and wind intensity of the simulated Medicane.…”

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Impact of Sea Surface Temperature on COSMO Forecasts of a Medicane over the Western Mediterranean Sea

Romaniello¹,

Oddo²,

Tonani³

et al. 2015

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Abstract:The paper describes and analyzes the sensitivity of an operational atmospheric model to different SST (sea surface temperature) estimates. The model's sensitivity has been analyzed in a Medicane (Mediterranean hurricane) test case. Numerical simulations have been performed using the COSMO (consortium for small-scale modeling) atmospheric model, in the COSMO-ME configuration. The model results show that the model is capable of capturing the position, timing and intensity of the cyclone. Sensitivity experiments have been carried out using different SSTs surface boundary conditions for the COSMO forecasts. Four different experiments have been carried out: the first two using SST fields obtained from the OSTIA (operational sea surface temperature and sea ice analysis) system, while the other two using the SST analyses and forecasts from MFS (Mediterranean Forecasting System, Tonani et al., 2015;Pinardi and Coppini, 2010). The different boundary conditions determine differences in the trajectory, pressure minimum and wind intensity of the simulated Medicane. The sensitivity experiments showed that a colder than real SST field determines a weakening of the minimum pressure at the vortex center. MFS SST analyses and forecasts allow the COSMO model to simulate more realistic minimum pressure values, trajectories and wind speeds. It was found that MFS SST forecast, as surface boundary conditions for COSMO-ME runs, determines a significant improvement, compared to ASCAT observations, in terms of wind intensity forecast as well as cyclone dimension and location.

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Preface "Operational oceanography in the Mediterranean Sea: the second stage of development"

Cited by 102 publications

References 32 publications

River runoff influences on the Central Mediterranean overturning circulation

River runoff influences on the Central Mediterranean overturning circulation

MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations

Impact of Sea Surface Temperature on COSMO Forecasts of a Medicane over the Western Mediterranean Sea

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