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    Analyzing state-dependent model–data comparison in multi-regime systems

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    MixModelAndData_ms.pdf (1.513Mb)
    Date
    2011-01-07
    Author
    Aretxabaleta, Alfredo L.  Concept link
    Smith, Keston W.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/4460
    As published
    https://doi.org/10.1007/s10596-011-9229-3
    Keyword
     Skill assessment; Data clustering; Gaussian Mixture Models; ENSO 
    Abstract
    An approach to analyze regime change in spatial time series data sets is followed and extended to jointly analyze a dynamical model depicting regime shift and observational data informing the same process. We analyze changes in the joint model-data regime and covariability within each regime. The method is applied to two observational data sets of equatorial sea surface temperature (TAO/TRITON array and satellite) and compared with the predicted data by the ECCO-JPL modeling system.
    Description
    Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Computational Geosciences 15 (2011): 627-636, doi:10.1007/s10596-011-9229-3.
    Collections
    • Applied Ocean Physics and Engineering (AOP&E)
    Suggested Citation
    Preprint: Aretxabaleta, Alfredo L., Smith, Keston W., "Analyzing state-dependent model–data comparison in multi-regime systems", 2011-01-07, https://doi.org/10.1007/s10596-011-9229-3, https://hdl.handle.net/1912/4460
     

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