An introduction to the Copernicus Marine Service

On 22 July 2021, Mercator Ocean International signed the official agreement with the European Commission to continue to implement and develop the Copernicus Marine Service for the next seven years.

The Copernicus Marine Service was founded with the mission to provide a scientifically validated operational oceanography service, to continuously develop new capabilities and products, with increased quality and reduced uncertainty, provide expert ocean analysis, user support and training resources. Accurate, global data like that provided by the Copernicus Marine Service data and information is increasingly vital to make well-informed decisions as we adapt to Earth’s changing ocean and to support the fast-growing Blue Economy. To these ends, we offer a user-driven service designed to meet the needs of all Blue Markets from policymakers, to the public, to sustainable blue economy industries.

Across the catalogue, we have worked to increase forecasting capacities and extend time series, which are vital to the work of users tracking changes in the ocean environment. Partnerships with global leaders in the collection of satellite and in situ earth observation data, such as EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites), ESA (European Space Agency) and GOOS (Global Ocean Observing System) help to build an authoritative and quality-controlled marine data portfolio. Between 2015 and 2021, the Copernicus Marine Service has established itself a reference source of free, updated, and state-of-the art information on the global ocean that is internationally recognised. With all Sentinel satellites now being fully operational and the growing array of in-situ technology, Copernicus Marine is continuing to make the best use of all available data sources and to systematically increase the accuracy of our digital ocean models and forecasting systems. Our portfolio encompasses marine data from in situ and satellite observations as well as numerical ocean models of the Global Ocean and European Seas. Such models include data assimilation methods, applying a data-driven constraint on the model results and use as much observed data as possible from in situ or satellite sources.