Automated Author ProfileCoppini, Giovanni
0000-0003-3664-3983
Coppini, Giovanni
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 102.4 (sum of 17 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The CMS Mediterranean Sea Analysis and Forecast system comprises a coupled wave-current system composed by an Ocean General Circulation Model based on NEMO v4.2 and a Wave Model based on WW3 v6.07 with a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model includes tides and has a 1/24˚uniform horizontal grid resolution and 141 unevenly spaced vertical levels. This dataset refers to the Med-MFC Physical EAS8 system.
Authors
- Clementi, Emanuela ;
- Drudi, Massimiliano ;
- Aydogdu, Ali ;
- Moulin, Aimie ;
- Grandi, Alessandro ;
- Mariani, Antonio ;
- Goglio, Anna Chiara ;
- Pistoia, Jenny ;
- Miraglio, Pietro ;
- Lecci, Rita ;
- Palermo, Francesco ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia
The Copernicus Marine Black Sea Physics Analysis and Forecast product is based on the NEMO v4.2.1 ocean circulation model, online coupled with WaveWatch III v6.0.7. It uses a variational data assimilation scheme called OceanVar, able to assimilate temperature and salinity vertical profiles, satellite SLA along track data and satellite SST data from Copernicus Marine associated TACs. The model has a 1/40˚ regular horizontal grid resolution and 121 unevenly spaced vertical levels. The model implements open boundary conditions at the Marmara Sea box for the optimal interface with the Mediterranean Sea by using high resolution model solutions provided by the Unstructured Turkish Strait System (U-TSS) model. Results from the U-TSS model for the Marmara Sea are interpolated onto a 1/160° regular horizontal grid and provided as additional datasets within the Black Sea product.
Authors
- Jansen, Eric ;
- Martins, Diana ;
- Causio, Salvatore ;
- Maslo, Aljaz ;
- Ilicak, Mehmet ;
- Cretì, Sergio ;
- Lecci, Rita ;
- Lima, Leonardo ;
- Sözer, Adil ;
- Trotta, Francesco ;
- Palermo, Francesco ;
- Aydoğdu, Ali ;
- Ciliberti, Stefania A. ;
- Gunduz, Murat ;
- Federico, Ivan ;
- Barletta, Ivano ;
- Peneva, Elisaveta L. ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia ;
- Valchev, Nikolay
Dataset used as input and forcing for the SANIFS forecasting system described as use case of the parallel version of the SHYFEM model. The reference of the parallel implementation of the SHYFEM model is https://doi.org/10.5281/zenodo.5596734
Authors
- Barletta, Ivano ;
- Federico, Ivan ;
- Verri, Giorgia ;
- Coppini, Giovanni ;
- Pinardi, Nadia
Dataset used as input and forcing for the SANIFS forecasting system described as use case of the parallel version of the SHYFEM model. The reference of the parallel implementation of the SHYFEM model is https://doi.org/10.5281/zenodo.5596734
Authors
- Barletta, Ivano ;
- Federico, Ivan ;
- Verri, Giorgia ;
- Coppini, Giovanni ;
- Pinardi, Nadia
The CMEMS Black Sea Analysis and Forecast physical system is based NEMO v4.0 ocean circulation model, online coupled with a variational data assimilation scheme called OceanVar, able to assimilate temperature and salinity vertical profiles, satellite SLA along track data and satellite SST data from CMEMS associated TACs. The model has a 1/40˚ regular horizontal grid resolution and 121 unevenly spaced vertical levels. It implements open boundary conditions at the Marmara Sea box for the optimal interface with the Mediterranean Sea by using high resolution model solutions provided by the Unstructured Turkish Strait System.
Authors
- Jansen, Eric ;
- Martins, Diana ;
- Stefanizzi, Laura ;
- Ciliberti, Stefania A. ;
- Gunduz, Murat ;
- Ilicak, Mehmet ;
- Lecci, Rita ;
- Cretí, Sergio ;
- Causio, Salvatore ;
- Aydoğdu, Ali ;
- Lima, Leonardo ;
- Palermo, Francesco ;
- Peneva, Elisaveta L. ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia ;
- Palazov, Atanas ;
- Valchev, Nikolay
The Copernicus Marine Mediterranean Sea Analysis and Forecast Physical system comprises a coupled wave-current system composed by an Ocean General Circulation Model based on NEMO v3.6 and a Wave Model based on WW3 v3.14 with a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model includes tides and has a 1/24˚uniform horizontal grid resolution and 141 unevenly spaced vertical levels. This dataset refers to the Copernicus Marine Med-MFC Physical EAS7 system.
Authors
- Clementi, Emanuela ;
- Aydogdu, Ali ;
- Goglio, Anna Chiara ;
- Pistoia, Jenny ;
- Drudi, Massimiliano ;
- Grandi, Alessandro ;
- Mariani, Antonio ;
- Lecci, Rita ;
- Cretí, Sergio ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia
The Mediterranean Forecasting System, physical reanalysis INTERIM dataset, is provided by means of a hydrodynamic model, supplied by the Nucleous for European Modelling of the Ocean (NEMO v3.6), with a variational data assimilation scheme (OceanVAR) for temperature and salinity vertical profiles and satellite Sea Level Anomaly along track data, assimilating Near Real Time Observations. The model horizontal grid resolution is 1/24˚ (ca. 4-5 km) and the unevenly spaced vertical levels are 141.
Authors
- Nigam, Tanuja ;
- Escudier, Romain ;
- Pistoia, Jenny ;
- Aydogdu, Ali ;
- Omar, Mohamed ;
- Clementi, Emanuela ;
- Cipollone, Andrea ;
- Drudi, Massimiliano ;
- Grandi, Alessandro ;
- Mariani, Antonio ;
- Lyubartsev, Vladyslav ;
- Lecci, Rita ;
- Cretí, Sergio ;
- Masina, Simona ;
- Coppini, Giovanni ;
- Pinardi, Nadia
The CMEMS Black Sea Analysis and Forecast physical system is based NEMO v4.0 ocean circulation model, online coupled with a variational data assimilation scheme called OceanVar, able to assimilate temperature and salinity vertical profiles, satellite SLA along track data and satellite SST data from CMEMS associated TACs. The model has a 1/40˚ regular horizontal grid resolution and 121 unevenly spaced vertical levels. It implements open boundary conditions at the Marmara Sea box for the optimal interface with the Mediterranean Sea by using high resolution model solutions provided by the Unstructured Turkish Strait System.
Authors
- Ciliberti, Stefania A. ;
- Jansen, Eric ;
- Martins, Diana ;
- Gunduz, Murat ;
- Ilicak, Mehmet ;
- Stefanizzi, Laura ;
- Lecci, Rita ;
- Cretí, Sergio ;
- Causio, Salvatore ;
- Aydogdu, Ali ;
- Lima, Leonardo ;
- Palermo, Francesco ;
- Peneva, Elissaveta L. ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia ;
- Palazov, Atanas
The CMEMS Mediterranean Sea Analysis and Forecast system comprises a coupled wave-current system composed by an Ocean General Circulation Model based on NEMO v3.6 and a Wave Model based on WW3 v3.14 with a variational data assimilation scheme (OceanVar) for temperature and salinity vertical profiles and satellite SLA along track data. The model includes tides and has a 1/24˚uniform horizontal grid resolution and 141 unevenly spaced vertical levels. This dataset refers to the Med-MFC Physical EAS6 system.
Authors
- Clementi, Emanuela ;
- Aydogdu, Ali ;
- Goglio, Anna Chiara ;
- Pistoia, Jenny ;
- Escudier, Romain ;
- Drudi, Massimiliano ;
- Grandi, Alessandro ;
- Mariani, Antonio ;
- Lyubartsev, Vladyslav ;
- Lecci, Rita ;
- Cretí, Sergio ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia
The CMEMS Black Sea Analysis and Forecast physical system is based NEMO v3.4 ocean circulation model, online coupled with a variational data assimilation scheme called OceanVar, able to assimilate temperature and salinity vertical profiles, satellite SLA along track data and satellite SST data from CMEMS associated TACs. The model has a 1/36˚ x 1/27˚ regular horizontal grid resolution and 31 unevenly spaced vertical levels.
Authors
- Ciliberti, Stefania A. ;
- Peneva, Elissaveta L. ;
- Jansen, Eric ;
- Martins, Diana ;
- Cretí, Sergio ;
- Stefanizzi, Laura ;
- Lecci, Rita ;
- Palermo, Francesco ;
- Daryabor, Farshid ;
- Lima, Leonardo ;
- Coppini, Giovanni ;
- Masina, Simona ;
- Pinardi, Nadia ;
- Palazov, Atanas