## Multiple Regimes in Northern Hemisphere Height Fields via Mixture Model Clustering (1998)

Venue: | J. Atmos. Sci |

Citations: | 49 - 28 self |

### BibTeX

@ARTICLE{Smyth98multipleregimes,

author = {Padhraic Smyth and Michael Ghil and Kayo Ide},

title = {Multiple Regimes in Northern Hemisphere Height Fields via Mixture Model Clustering},

journal = {J. Atmos. Sci},

year = {1998},

volume = {56},

pages = {3704--3723}

}

### Years of Citing Articles

### OpenURL

### Abstract

Mixture model clustering is applied to Northern Hemisphere (NH) 700-mb geopotential height anomalies. A mixture model is a flexible probability density estimation technique, consisting of a linear combination of k component densities. A key feature of the mixture modeling approach to clustering is the ability to estimate a posterior probability distribution for k, the number of clusters, given the data and the model, and thus objectively determine the number of clusters that is most likely to fit the data. A data set of 44 winters of NH 700-mb fields is projected onto its two leading empirical orthogonal functions (EOFs) and analyzed using mixtures of Gaussian components. Crossvalidated likelihood is used to determine the best value of k, the number of clusters. The posterior probability so determined peaks at k = 3 and thus yields clear evidence for 3 clusters in the NH 700-mb data. The 3-cluster result is found to be robust with respect to variations in data preprocessing and data an...