Nansen and Bjerknes scientists have for the first time demonstrated the capability - thanks to an advanced data assimilation method - to constrain ocean variability in key regions (e.g. North Atlantic, Equatorial and North Pacific) of a fully coupled Earth system model just using sea surface temperatures. This result opens new possibilities for a long fully coupled reanalysis dating back to 1850 and test thoroughly the skills of decadal predictions by the Norwegian Climate Prediction model. The research team lead by Dr.
The Arctic Marine Forecasting Center will provide operational forecasts of ocean currents, temperature, salinity, primary production, sea ice and waves out to 10 days ahead as well as reanalyses over the past 25 years.
The Arctic MFC will operate the NERSC version of the HYbrid Coordinate Ocean Model (HYCOM) for the whole Arctic domain at a resolution higher than 14 km (corresponding to 1/8th deg N/S), coupled with a sea ice model (NERSC version of the CICE model) and an ecosystem model. The EnKF will be used for assimilating all types of satellite and in situ observations available both in real time forecast and reanalysis modes. Essentially, the proposal offers the continuation of the products served by the MyOcean Follow-On “ARC MFC”.
EmblA is the Nordic Centre of Excellence for ensemble-based data assimilation (DA). It supports Nordic users of DA methods with instruction and training, state-of-the-art open-source codes, and works for R&D in several applications.
Our environment is undergoing major anthropogenic and natural changes that we need to understand, attribute and predict. To be able to use complex 3-dimensional models of our environment to generate reliable predic- tions with documented accuracy is therefore a major challenge for e-Sciences.
A Nordic Center of Excellence on ensemble-based methods for environmental monitoring and prediction has been awarded by NordForsk to a consortium lead by NERSC.
The ESA has initiated ClimateChange Initiatives for all Essential Climate Variables. the Ocean Colour CCI is the only one of them that related to a "living" variable.
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.
