Expectation-maximization analysis of spatial time series
MetadataShow full item record
Expectation maximization (EM) is used to estimate the parameters of a Gaussian Mixture Model for spatial time series data. The method is presented as an alternative and complement to Empirical Orthogonal Function (EOF) analysis. The resulting weights, associating time points with component distributions, are used to distinguish physical regimes. The method is applied to equatorial Pacific sea surface temperature data from the TAO/TRITON mooring time series. Effectively, the EM algorithm partitions the time series into El Nino, La Nina and normal conditions. The EM method leads to a clearer interpretation of the variability associated with each regime than the basic EOF analysis.
© Author(s) 2007. This work is licensed under a Creative Commons License. The definitive version was published in Nonlinear Processes in Geophysics 14 (2007): 73-77, doi: 10.5194/npg-14-73-2007
Suggested CitationArticle: Smith, Keston W., Aretxabaleta, Alfredo L., "Expectation-maximization analysis of spatial time series", Nonlinear Processes in Geophysics 14 (2007): 73-77, https://hdl.handle.net/1912/1571
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 2.5 Generic
Showing items related by title, author, creator and subject.
Rypina, Irina I.; Pratt, Lawrence J. (Copernicus Publications on behalf of the European Geosciences Union&the American Geophysical Union, 2017-05-03)Fluid parcels can exchange water properties when coming into contact with each other, leading to mixing. The trajectory encounter mass and a related simplified quantity, the encounter volume, are introduced as a measure ...
Magalhaes, Jorge M.; Araujo, I. B.; da Silva, Jose C. B.; Grimshaw, Roger H. J.; Davis, Kate; Pineda, Jesus (Copernicus Publications on behalf of the European Geosciences Union and the American Geophysical Union, 2011-02-03)The region of the Middle East around the Red Sea (between 32° E and 44° E longitude and 12° N and 28° N latitude) is a currently undocumented hotspot for atmospheric gravity waves (AGWs). Satellite imagery shows evidence ...
Helfrich, Karl R.; White, Brian L. (Copernicus Publications on behalf of the European Geosciences Union and the American Geophysical Union, 2010-07-15)Large-amplitude internal solitary waves in continuously stratified systems can be found by solution of the Dubreil-Jacotin-Long (DJL) equation. For finite ambient density gradients at the surface (bottom) for waves of ...