Modelling wind direction from satellite scatterometer data


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.

Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Uncontrolled Keywords: density,variables,wind vector,radar scatterometer data,remote-sensing satellite
ISBN: NCRG/95/011
PURE Output Type: Technical report
Published Date: 1995
Authors: Nabney, Ian T. (ORCID Profile 0000-0003-1513-993X)
Bishop, Christopher M.


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