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

2 Arctic ROOS http://arctic-roos.orgIn 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 iceWell-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.noChlorophyll-a (*2) 1-, 7- and 30- days averages

7 The TOPAZ RT system MyOcean - eVITA-EnKFTOPAZ3: 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)