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Demonstrates a method to generate meteorological data sets, suggesting enhanced accuracy in describing environmental phenomena.
A method is presented for the generation of meteorological data sets, with specified spatial statistical structures, by the application of appropriately designed linear filters to random white noise. It incorporates inhomogeneity, anisotropy, and geographically variable coupling of height and wind fields. The paper includes details of the basic theory and practical application, together with examples.
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R. S. Seaman (1986) studied this question.
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