Observing oceans from space

The OSI SAF develops, processes and distributes, in near real-time, products related to key parameters of the ocean-atmosphere interface. The OSI SAF also offers climatological data records.

The OSI SAF team focuses on sea surface winds, sea and sea ice surface temperature, radiative fluxes : downward longwave irradiance and surface solar irradiance, sea ice concentration, edge, type, emissivity, drift.

  • Metop-C/ASCAT winds off the coast of Brittany on 20210705
    Metop-C/ASCAT winds off the coast of Brittany on 20210705
  • Sea surface temperature and winds over Europe on 20210621 (screenshot from EUMETView)
    Sea surface temperature and winds over Europe on 20210621 (screenshot from EUMETView)
  • Sea-ice drift with a strong off-shore winds north of Greenland, that open up a polynia on 20180225
    Sea-ice drift with a strong off-shore winds north of Greenland, that open up a polynia on 20180225
  • Sea surface temperature from GOES-East and Meteosat on 20210705
    Sea surface temperature from GOES-East and Meteosat on 20210705

Live production status

About us

 

The OSI SAF has three operational processing centers. The wind processing is performed at KNMI in De Bilt, Netherlands. The sea ice processing is performed at the High Latitude processing facility, operated jointly by the Norwegian and Danish Meteorological Institutes, respectively in Oslo and Copenhagen. The Low and Mid-Latitude (LML) processing facility, processing sea surface temperature and radiative fluxes, is operated by Météo-France in Lannion and by Ifremer in Plouzané.

 

 

Know more

Scientific publications about OSI SAF products

  • 2019 CFOSAT winds

    Li, Z., A.C.M. Stoffelen and A.H. Verhoef

    A generalized simulation capability for rotating- beam scatterometers Atmospheric Measurement Techniques

    12, 2019, 3573-3594, doi:10.5194/amt-12-3573-2019.

  • 2018 publication about OSI SAF Ku-band wind products

    Vogelzang and Stoffelen, Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-derived empirical background error correlations Quart. J. Royal Meteor. Soc., 144, 2018, 716, 2245-2259, doi:10.1002/qj.3349.

  • 2018 articles about OSI SAF sea ice products

    Image of the Week – The Gap, the Bridge, and the Game-changer, EGU (European Geosciences union) Blogs, Cryospheric Sciences, 09/02/2018, Thomas Lavergne

  • 2018 publication about OSI SAF SST

    Saux Picart, S.; Tandeo, P.; Autret, E. & Gausset, B.

    Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures, Remote Sensing

    2018, 10, doi:10.3390/rs10020224

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