1. Norwegian Marine Data Centre contributions from Nansen Environmental and Remote Sensing Center
Lasse H. Pettersson

2. Arctic ROOS http://arctic-roos.org
In situ observation systems: ship-borne systems, moorings, ice buoys, floats and drifters (DAMOCLES, etc.)
Satellite remote sensing: polar orbiting satellites using active and passive microwave, optical and infrared instruments
Modelling: data assimilation, nowcasting, short term forecasting, seasonal forecasting, climate modelling, model comparison and validation (MERSEA and MyOcean)

3. Satellite observations of sea ice
Well-established for large-scale monitoring of ice area and extent
Source:

4. MONARCH-A FP7 Space
The aim is to generate a dedicated information package tailored to a subset of multidisciplinary Essential Climate Variables and their mutual forcing and feedback mechanisms associated with changes in terrestrial carbon and water fluxes, sea level and ocean circulation and the marine carbon cycle in the high latitude and Arctic regions.

5. GCOS ECV: FP7 MONARCH-A

6. Satellite WQ products http://HAB.nersc.no
Chlorophyll-a (*2)
1-, 7- and 30- days averages

7. The TOPAZ RT system MyOcean - eVITA-EnKF
TOPAZ3: Atlantic and Arctic
HYCOM + EVP sea-ice model
km horizontal resolution
22 hybrid layers
EnKF
100 members
Observations
Sea Level Anomalies (CLS)
SST (NOAA)
Sea Ice Concentr. (AMSR, NSIDC)
Sea ice drift (CERSAT)
Argo T/S profiles (Coriolis)
Runs weekly, 10 days forecasts
ECMWF forcing
System components, the figure shows an SSH snapshot.
HYCOM has been coupled to a realistic sea-ice model.
The same assimilation method (the EnKF) is used to assimilate different data types, as listed here.
F. Counillon, P. Sakov, G. Zangana

8. TRINN 2 Søknad: Norwegian Satellite Earth Observation Database for Marine and Polar Research (NORMAP)