### Abstract

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.

Original language | English |
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Place of Publication | Birmingham |

Publisher | Aston University |

Number of pages | 16 |

ISBN (Print) | NCRG/98/020 |

Publication status | Published - 1998 |

### Keywords

- polynomial-exponential covariance function
- Gaussian process
- local wind vector
- multi-variate

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## Cite this

Cornford, D. (1998).

*Non-zero mean Gaussian process prior wind field models*. Aston University.