Author(s): Tor Olaussen; Ola M. Johannessen; Petter M. Haugan; Ruth Preller
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Abstract: With the launch of the european earth resource satellite ERS-1 and other remote sensing satellites in the early 1990's, the need for algorithms and procedures to efficiently utilize these remote sensing data for environmental monitoring and forecasting is paramount. To be able to satisfy the increasing needs of sea ice monitoring and sea ice forecasting, several types of remote sensing sensors must be combined (multi-sensor-approach) to supply data on the necessary sea ice (and wind) parameters at various spatial resolutions. These topics are addressed, concentrating on the Barents Sea, reviewing the present status of using remote sensing data in sea ice monitoring, presenting possible image processing methods of combining remote sensing data of different resolution, and also with in situ data. An operational forecast model for the Barents Sea is presented, and principles of data assimilation in numerical models to increase sea ice forecasting accuracy are discussed.
Year: 1988