Modelling wind direction from satellite scatterometer data

Ian T. Nabney, Christopher M. Bishop

Research output: Preprint or Working paperTechnical report


Most of the common techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we apply two novel techniques to the problem of extracting the distribution of wind vector directions from radar scatterometer data gathered by a remote-sensing satellite.
Original languageEnglish
Place of PublicationBirmingham
PublisherAston University
Number of pages6
ISBN (Print)NCRG/95/011
Publication statusPublished - 1995


  • density
  • variables
  • wind vector
  • radar scatterometer data
  • remote-sensing satellite


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