Mohn-Sverdrup Center for Global Ocean Studies and Operational Oceanography

Satellite remote sensing research and applications in marine sciences.

Numerical modeling and data assimilation for operational monitoring and prediction of the ocean circulation, sea ice and marine ecosystem.

The Mohn-Sverdrup Center has activities in four research groups:

Sea ice modeling (lead by P. Rampal)

The sea ice modeling group is developing a brand new neXt generation Sea Ice Model (called neXtSIM or X-SIM) that uses an elasto brittle (EB) rheology to simulate sea ice dynamics and an adapted code to simulate the sea ice thermodynamics including their thermodynamics/dynamics feedbacks. X-SIM is capable to resolve the statistical and multi-scale properties of sea ice dynamics, i.e. heterogeneity and intermittency of the ice velocities and deformation fields.

In parallel, a new module aiming at resolving interactions between sea ice and ocean waves in the Marginal Ice Zone (WIFAR project) is being added to the X-SIM model.

X-SIM aims at being used to produce unprecedent quality sea ice forecasts at high spatial resolution and to conduct climate impact studies at both regional and global scales.

Modeling and data assimilation (lead by F. Counillon)

The Modeling and Data Assimilation group has been carrying methodological developments in data assimilation and ocean modeling since the mid-90s with the introduction of the Ensemble Kalman Filter (EnKF, eVITA-EnKF project) and nested configurations of the HYbrid Coordinate Ocean Model (HYCOM, NERSC version) in different regions of the global oceans.

Since the years 2000, the group has been involved in operational forecasting activities with the TOPAZ system and is more recently turning into reanalysis applications since the TOPAZ system has been transferred for operational exploitation at the Norwegian Meteorological Institute (MyOcean project).

Ecosystem modeling (lead by A. Samuelsen)

The physical model  is coupled to the Norwegian ecosystem model NORWECOM to study the coupling of physical and ecosystem processes at the meoscale along the Norwegian Coast (AcuSAT project) and for assimilation of ocean colour data over the North Atlantic and Arctic (GreenSeas project).

The ecosystem modeling is also getting a new orientation towards the interactions between lower and higher trophic levels, using the ECOSMO model.

Coastal and ocean remote sensing (lead by R. Danielson)

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Group Leader: 
Johnny Johannessen

Projects

ARCONOR

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