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Analysis of long duration radar image sequence
Seemann, J.; Senet, C.M.; Hatten, H.; Ziemer, F.; Dittmer, J.; Reichert, K. (1998). Analysis of long duration radar image sequence, in: Marine meteorology and related oceanographic activities: provision and engineering/operational application of ocean wave data Unesco, Paris, 21-25 September 1998. pp. 78-90
In: (1998). Marine meteorology and related oceanographic activities: provision and engineering/operational application of ocean wave data Unesco, Paris, 21-25 September 1998. Marine Meteorology and Related Oceanographic Activities Report, 42. World Meteorological Organization: Geneva. 347 pp., more
In: Marine Meteorology and Related Oceanographic Activities Report. World Meteorological Organisation: Genève, more
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Keyword
    Marine/Coastal
Authors  Top 
  • Seemann, J.
  • Senet, C.M.
  • Hatten, H.
  • Ziemer, F.
  • Dittmer, J.
  • Reichert, K.
Abstract
    The backscatter of microwave from the ocean surface using a nautical radar is called sea clutter. At the GKSS research center a hard- and software package, called WaMoS (Wave Monitoring System) Was developed to sample and analyze nautical radar image sequences of the sea surface. The WaMoS hardware consists of a standard nautical X-Band RADAR as sensor and a real time image storage unit. Now the system is commercially available and in operational use. In the operational mode, a sequence of 32 images is sampled during a period of ~ 1 minute. The output of the analysis, the near surface current, the wave spectrum and the significant wave height, are available in near real time. The new WaMoS II hardware allows to increase the number of radar images sampled. This improves the frequency resolution by increasing the sampling time. A sequence of 512 images sampled with a ship borne WaMoS installation during a period of ~ 20 minutes is presented here. The sea clutter pattern is analyzed in the spatio - temporal and wave number - frequency domain. The main topic of this paper is the analysis of instationarities induced by wind field fluctuations.
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