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Northern Adriatic Sea short-term forecast of biogeochemical sea water conditions.
Data are produced by the OGS ECHO research group by means of the coupled MITgcm-BFM modelling system. Data are generated using the E.U. Copernicus Marine Service Information dataset, which provides the initial and boundary conditions for the model. The forecasting system is automatically run at the CINECA supercomputing centre (Bologna, Italy).
72-hour forecast is produced daily (after a 7 days hindcast, starting from CMEMS initial conditions). The model domain has been discretized with a horizontal resolution of 1/128° (850 m × 600 m) and 27 unequally spaced vertical levels. The system considers the 19 major rivers flowing into the basin.
We acknowledge ARSO (Slovenian Environment Agency) for the meteorological data of the ALADIN model and Arpae-SIMC (HydroMeteorological Service of the Emilia-Romagna Regional Agency for Environmental Protection) for the real-time data of the Po River.
The northern Adriatic forecasting system was partially funded by the SHAREMED (Interreg MED) project, co-founded by the European Regional Development Fund, and by the FORCOAST (EU Horizon 2020) project.
The northern Adriatic is one of the transnational pilot sites planned by SHAREMED. For further pilot site implementations, the main instructions are available in the user manual of the relocatable forecasting system developed within the project.
This activity has been carried out also in the framework of the Consortium Agreement FPCUP and it has been partially funded by the Framework Partnership Agreement "Caroline Herschel" n. 275/G/GRO/COPE/17/10042 (Amendment n.1). The activity belongs to the action 2019-3-34 “Implementation of Copernicus downstream products for monitoring bathing and shellfish waters and piloting user uptake” (Work Programme 2019 - Tier 3) jointly developed by ISPRA, OGS, Arpae-SIMC, CNR-ISMAR, CMCC, IZSLER, IZSVe and AMA.
The system is still in its preliminary configuration and it is currently under development.
For any additional information regarding the forecasting model, please contact email@example.com