The main objective of SONARC is to develop a sea ice monitoring and forecasting system to support safe operations and navigation in Arctic Seas. SONARC has exploited Synthetic Aperture Radar (SAR) data from satellites as a major component of this system. From 2015 Sentinel-1 has been the main provider of SAR data, deliverig data every day in near realtime for monitoring of sea ice and other environmental parameters.

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The Project will identify groups of putatively interconnected MPAs in the Mediterranean and the Black Seas, shifting from local (single MPA) to regional (Networks of MPAs) and basin (network of networks) scales. The identification of physical and biological connections with clear the proceses that govern patterns of biodiversity distribution.

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Thanks to satellite and in-situ observations, combined with high resolution numerical ocean models, the last decade has seen advances in the knowledge and views of the global ocean surface dynamics, filled with a large number of various mesoscale (~100 km) and sub-mesoscale (<~10 km) meandering surface currents and eddies.  However, we are now faced with the challenge of accurately quantifying the surface current associated with these mesoscale to sub mesoscale features.  Certainly, it not always possible to provide highly accurate forecasts of the locations and evolution of su

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INDO-MARECLIM capitalizes on the Norwegian institutional establishment, infrastructure and network of scientific cooperation built up India since 1998 around the Nansen Environmental Research Centre-India (NERCI) in Kerala, India. INDO-MARECLIM aims at facilitating and improving the co-operation between the European Union Members States and Associated Countries and India and includes partners from UK, France, Italy, the Netherlands and Norway, involved in research topics of relevance to India.

The project consists of the following 7 interlinked workpackages: WP 1. Observed present sea level change, WP 2. Observed present Greenland ice sheet and outlet glaciers, WP3.

Regular validation of the ocean models (in off-line mode) has played an essential role for the operation of MONCOZE. Although the time of formation and location of eddies are not always in agreement with for instance observations from satellites, it is mandatory that the models have correct forcing fields, reliable water masses, frontal locations and strength of topographic steering.  In turn, the mean and eddy kinetic energy can be realistically described (Røed and Fossum, 2004).

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The Ocean Colour CCI (OC_CCI) project focuses on the Ocean Colour ECV encompassing water-leaving radiance in the visible domain, derived chlorophyll and inherent optical properties and will utilise data archives of from ESA’s MERIS and NASA’s SeaWiFS, MODIS and possibly CZCS (after careful evaluation) sensors archives.

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MARSAIS (Marine SAR Analysis and Interpretation System) is an integrated information system for processing and information extraction from different types of Earth Observation data. By means of validated algorithms and models, MARSAIS generates a suite of quality controlles coastal zone products with information on sea state, currents and pollution. Products are then delivered through a web based User Interface.

The main components of MARSAIS are the MARSAIS Data Base, the MARSAIS Toolkit, and the MARSAIS User Interface.