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Multivariate shifting mean plus persistence model for simulating the Great Lakes net basin supplies

dc.contributor.authorSveinsson, Óli Grétar Blöndal, author
dc.contributor.authorSalas, Jose D., author
dc.contributor.authorColorado State University, publisher
dc.description2006 annual AGU hydrology days was held at Colorado State University on March 20 - March 22, 2006.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThe focus of this paper is to develop a multivariate model for modeling the annual net basin supplies (NBS) of the Great Lakes. Not all NBS series show similar behavior. For example, a feature that is apparent in some but not all NBS series is a sudden shifting pattern. In this paper previous studies of univariate shifting mean models are expanded to develop multivariate contemporaneous shifting mean models. These multivariate models are further mixed with CARMA models in such a way, that the lag zero correlation in space is conserved between the underlying processes of the different models. The full contemporaneous shifting mean CARMA models are successfully applied for modeling jointly the whole Great Lakes system, preserving the spatial correlation at lag zero between different lakes, and preserving other important statistical characteristics of the individual lakes.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see
dc.titleMultivariate shifting mean plus persistence model for simulating the Great Lakes net basin supplies
dc.title.alternativeHydrology days 2006
dc.title.alternativeAGU hydrology days 2006


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