Observing, Modelling and Predicting Ocean State and Processes | JPI OCEANS

Observing, Modelling and Predicting Ocean State and Processes

Sustained long-term observations are required to understand the interactions between the marine environment, climate change, human activities and the combined effects of these on the oceans.


Physical, chemical, biological, ecological, and geological data need to be integrated to form a holistic understanding of hazards, risks and changes in the marine environment.

Ocean observations require a range of infrastructures which are expensive to develop, operate, maintain and upgrade. This calls for an overarching coordination and prioritisation of research and monitoring capacities through a strategy driven by societal needs.



  • Support the set-up of an European Ocean Observing System (EOOS) strategic vision. This should include tools and mechanisms such as a monitoring strategy to allow integration of existing European oceans observation and monitoring capacities which are important to enable a number of JPI Oceans’ strategic objectives. The EOOS vision should also address the need for a long-term plan for observing technologies (see also strategic area 4.2).
  • Promote common standards and open access to data and the harmonisation of data requirements in particular related to MSFD.
  • Support e-infrastructures for computing, modelling, forecasting, and early warning systems. Member Countries of JPI Oceans will collaborate to develop integrated e-infrastructures and, where relevant, common modelling frameworks.



Short term
  • Engage in a dialog with EuroGOOS and other relevant initiatives and networks to investigate the establishment of an EOOS strategic board for the development of a strategic vision for the European Ocean Observing System.
  • Promote common standards and open access to data.
  • Develop a monitoring strategy embedded in EOOS responding to science and policy dual uses and needs, identifying infrastructure gaps and which infrastructures to sustain at a pan-European level.
Long term
  • Develop a long-term plan for observing technologies (as part of the EOOS vision).
  • Support actions to improve and foster access to existing high performance computing facilities (e.g. PRACE), to ocean modelling frameworks, allowing several ocean related components of the earth system to work together or separately (e.g. NEMO), and to forecasting capacities (e.g. My Ocean).
  • Promote the development of a world class network of marine data centres adopting common standards.
  • Link EOOS with its international counterparts (IOOS or GOOS, Neptune, Donet, IMOS) (as part of the EOOS vision).



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