EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Black Sea Physics Analysis and Forecasting System

Stefania Ciliberti1, Eric Jansen1, Diana Azevedo1, Salvatore Causio1, Mehmet Ilicak2, Murat Gunduz1, Marius Matreata3, Laura Stefanizzi1, Sergio Creti'1, Rita Lecci1, Leonardo Lima4, Ali Aydogdu4, Elisaveta Peneva5, Giovanni Coppini1, Simona Masina4, and Nadia Pinardi6
Stefania Ciliberti et al.
  • 1Euro-Mediterranean Center on Climate Change Foundation, Ocean Predictions and Applications (OPA) Division, Lecce, Italy (
  • 2Eurasian Institute of Earth Sciences – Istanbul Technical University, Istanbul, Turkey
  • 3National Institute of Hydrology and Water Management, Bucharest, Romania
  • 4Euro-Mediterranean Center on Climate Change Foundation, Ocean modelling and Data Assimilation (ODA) Division, Bologna, Italy
  • 5Sofia University “St. Kliment Ohridski”, Faculty of Physics, Department of Meteorology and. Geophysics, Sofia, Bulgaria
  • 6University of Bologna “Alma Mater Studiorum”, Department of Physics and Astronomy "Augusto Righi", Bologna, Italy

This work presents the last version of the operational analysis and forecasting system of the physical variables and evolution plans in the Black Sea, as developed in the framework of the Copernicus Marine Service for the Black Sea Monitoring and Forecasting Centre. 

The modelling system consists of NEMO v4.0 hydrodynamical model at 1/40º resolution in horizontal and 121 vertical levels, online coupled to OceanVar for the assimilation of available insitu and satellite observations. Recently, the system has been upgraded to handle the operational historical and forecasting discharge data for the Danube River as provided by the NIHWM (Romania). Major details on the model setup and product are also available at 

This contribution will focus on the description of the Black Sea Physics production unit operational capacity and on the accuracy of the delivered products by computing relevant metrics for analysis fields and forecasting skills.

How to cite: Ciliberti, S., Jansen, E., Azevedo, D., Causio, S., Ilicak, M., Gunduz, M., Matreata, M., Stefanizzi, L., Creti', S., Lecci, R., Lima, L., Aydogdu, A., Peneva, E., Coppini, G., Masina, S., and Pinardi, N.: Black Sea Physics Analysis and Forecasting System, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7369,, 2022.