This report outlines the derivation and application of a non-zero mean, polynomial-exponential covariance function based Gaussian process which forms the prior wind field model used in 'autonomous' disambiguation. It is principally used since the non-zero mean permits the computation of realistic local wind vector prior probabilities which are required when applying the scaled-likelihood trick, as the marginals of the full wind field prior. As the full prior is multi-variate normal, these marginals are very simple to compute.
|Place of Publication||Birmingham|
|Number of pages||16|
|Publication status||Published - 1998|
- polynomial-exponential covariance function
- Gaussian process
- local wind vector