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.zenodo.json
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{
"description": "<p><strong>The hydrodynamic model NEMO</strong></p> <p>The hydrodynamic model NEMO v3.6 has been implemented in the Mediterranean Sea using a non-linear explicit free surface formulation solved by a time-splitting scheme. It uses vertical partial cells to fit the bottom depth shape and a vertical time-varying z* coordinate system.</p> <p>The model is forced by momentum, water and heat fluxes interactively computed by bulk formulae using analysis and forecast fields from the European Centre for Medium-Range Weather Forecasts (ECMWF) at highest available time frequency. The water balance is computed as Evaporation minus Precipitation and Runoff. The evaporation is derived from the latent heat flux, precipitation is provided by ECMWF, while the runoff of the 39 rivers implemented is provided by monthly mean datasets. The model is nested in the Atlantic within the daily analysis and forecast CMEMS GLO-MFC product at 1/12° horizontal resolution, while the Dardanelles Strait boundary conditions are provided by the analysis and forecast CMEMS GLO-MFC product and the daily climatological values. The topography is derived from the GEBCO 30arc-second grid filtered and manually modified in critical areas.</p> <p> </p> <p><strong>NEMO-WWIII coupling</strong></p> <p>The wave-current coupling is achieved as following: NEMO provides every hour estimates of Air-Sea Temperature difference and Sea Surface Currents to WWIII, which returns back to NEMO the neutral component of the Surface Drag Coefficient taking into account the wave induced effect at the air-sea interface (Clementi et al., 2017).</p>",
"title": "MedFS Hydrodynamic module",
"license": "CeCILL-2.1",
"upload_type": "software",
"creators": [
{
"affiliation": "Ocean Modeling and Data Assimilation Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Clementi, Emanuela",
"orcid": "0000-0002-5752-1849"
},
{
"affiliation": "Ocean Modeling and Data Assimilation Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Goglio, Anna Chiara",
"orcid": "0000-0002-9024-7394"
},
{
"affiliation": "Istituto Nazionale di Geofisica e Vulcanologia, Italy",
"name": "Delrosso, Damiano",
"orcid": "0000-0002-3646-9893"
},
{
"affiliation": "Ocean Modeling and Data Assimilation Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Escudier, Romain",
"orcid": "0000-0002-8532-0024"
},
{
"affiliation": "Ocean Predictions and Applications Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Drudi, Massimiliano",
"orcid": "0000-0002-9951-740X"
},
{
"affiliation": "Ocean Predictions and Applications Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Grandi, Alessandro",
"orcid": "0000-0002-7372-3184"
},
{
"affiliation": "Ocean Predictions and Applications Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Mariani, Antonio",
"orcid": "0000-0001-5720-3069"
},
{
"affiliation": "Ocean Modeling and Data Assimilation Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Masina, Simona",
"orcid": "0000-0001-6273-7065"
},
{
"affiliation": "Ocean Predictions and Applications Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Italy",
"name": "Coppini, Giovanni",
"orcid": "0000-0003-3664-3983"
},
{
"affiliation": "Department of Physics and Astronomy, University of Bologna, Italy",
"name": "Pinardi, Nadia",
"orcid": "0000-0003-4765-0775"
}
],
"access_right": "open",
"version": "1.0",
"references": [
"Clementi E., Oddo P., Drudi M., Pinardi N., Korres G. and Grandi A. (2017). Coupling hydrodynamic and wave models: first step and sensitivity experiments in the Mediterranean Sea. Ocean Dynamics. doi: https://doi.org/10.1007/s10236-017-1087-7",
"Clementi, E., Pistoia, J., Escudier, R., Delrosso, D., Drudi, M., Grandi, A.,Lecci R., Cretí S., Ciliberti S., Coppini G., Masina S., Pinardi, N. 2019. Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents, EAS5 system) [Data set]. Copernicus Monitoring Environment Marine Service (CMEMS): https://doi.org/10.25423/CMCC/MEDSEA_ANALYSIS_FORECAST_PHY_006_013_EAS5"
]
}